db_id
stringclasses 69
values | question
stringlengths 24
325
| evidence
stringlengths 0
673
| SQL
stringlengths 23
804
| db_schema_T
stringlengths 79
5k
| db_schema
stringclasses 69
values | difficulty
stringclasses 1
value | question_id
int64 0
9.43k
| __index_level_0__
int64 0
9.43k
| db_schema_TC
stringlengths 41
1.68k
| sql_constructs
listlengths 2
17
| sql_complexity
int64 2
46
| sql_complexity_buckets
stringclasses 3
values | few_shots
dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
legislator
|
What is the title of legislator whose birthday on 2/20/1942?
|
birthday on 2/20/1942 refers to birthday_bio = '1942-02-20'
|
SELECT T2.title FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.birthday_bio = '1942-02-20' GROUP BY T2.title
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,811 | 4,811 |
CREATE TABLE `current`
(
bioguide_id TEXT,
birthday_bio DATE,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
title TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
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11,
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1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
What is the gender of the legislator whose address at 317 Russell Senate Office Building Washington DC 20510?
|
gender refers to gender_bio
|
SELECT T1.gender_bio FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.address = '317 Russell Senate Office Building Washington DC 20510'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,812 | 4,812 |
CREATE TABLE `current`
(
bioguide_id TEXT,
gender_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
CREATE TABLE "current-terms"
address TEXT,
bioguide TEXT,
end TEXT,
primary key bioguide, end,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
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42,
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62,
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73,
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77,
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81,
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88,
90,
91,
93,
94,
95,
96,
97,
98,
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101,
102,
105,
106,
107,
111,
112,
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118,
119,
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121,
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126,
127,
128,
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131,
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150,
151,
152,
153,
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155,
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159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
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199,
200,
201,
202,
206,
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211,
212,
213,
214,
217,
218,
219,
220,
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240,
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243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
List out the first name of legislators who are senior Senator.
|
senior refers to state_rank = 'senior'; only senator has this value 'senior'
|
SELECT T1.first_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state_rank = 'senior' GROUP BY T1.first_name
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,813 | 4,813 |
CREATE TABLE `current`
(
bioguide_id TEXT,
first_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
name TEXT,
state TEXT,
state_rank TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Among male legislators, state number of the legislators who are not the senator.
|
male refers to gender_bio = M; not the senator refers to class IS NULL OR class = ''
|
SELECT COUNT(T3.state) FROM ( SELECT T2.state FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'M' AND (T2.class IS NULL OR T2.class = '') GROUP BY T2.state ) T3
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,814 | 4,814 |
CREATE TABLE `current`
(
bioguide_id TEXT,
gender_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
class REAL,
end TEXT,
state TEXT,
state_rank TEXT,
primary key bioguide, end,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"OR",
"AND",
"SELECT",
"AS",
"-",
"NULL",
"INNER JOIN",
"ON",
"COUNT",
"IS",
"FROM"
] | 15 |
medium
|
{
"case_1": [
42
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
522,
788,
882,
993
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
4,
11,
16,
20,
21,
22,
30,
36,
37,
39,
42,
45,
47,
51,
53,
55,
62,
63,
68,
69,
73,
74,
75,
85,
86,
88,
93,
96,
98,
106,
112,
113,
115,
117,
118,
119,
121,
125,
126,
128,
131,
138,
140,
141,
142,
143,
146,
148,
150,
152,
154,
158,
159,
160,
164,
167,
169,
170,
171,
172,
175,
179,
180,
183,
184,
187,
188,
189,
191,
195,
197,
199,
200,
202,
206,
214,
227,
229,
233,
240,
244,
247,
256,
258,
267,
268,
272,
276,
277,
296,
298,
299,
301,
311,
314,
317,
319,
320,
325,
330,
334,
339,
341,
344,
345,
349,
356,
364,
368,
370,
373,
374,
375,
382,
383,
391,
392,
393,
394,
395,
398,
402,
403,
406,
409,
411,
416,
417,
424,
425,
426,
436,
444,
445,
446,
448,
454,
460,
462,
464,
469,
473,
476,
477,
478,
479,
490,
493,
496,
498,
500,
505,
507,
509,
514,
515,
516,
519,
520,
522,
526,
528,
529,
532,
533,
536,
537,
538,
544,
548,
552,
558,
559,
560,
562,
563,
566,
573,
580,
581,
582,
586,
589,
595,
601,
608,
611,
613,
620,
624,
627,
630,
632,
633,
634,
637,
641,
643,
645,
646,
649,
651,
654,
659,
663,
665,
668,
669,
671,
672,
675,
677,
681,
684,
687,
688,
690,
693,
696,
706,
712,
714,
721,
724,
727,
733,
734,
735,
739,
740,
743,
746,
749,
752,
753,
754,
756,
758,
760,
768,
772,
777,
778,
779,
788,
790,
797,
799,
800,
804,
805,
810,
814,
818,
819,
824,
827,
829,
830,
835,
837,
838,
844,
849,
851,
853,
858,
866,
867,
870,
876,
877,
878,
880,
882,
886,
888,
893,
894,
896,
901,
902,
905,
911,
917,
918,
922,
923,
924,
926,
927,
930,
932,
934,
935,
941,
943,
950,
951,
954,
956,
958,
961,
963,
969,
974,
975,
977,
981,
985,
986,
993,
996,
1005,
1006,
1010,
1013,
1022,
1023,
1031,
1037,
1042,
1043,
1047,
1050,
1051,
1058,
1062,
1064,
1066,
1067,
1068,
1071,
1072,
1078,
1084,
1086,
1087,
1092,
1094,
1100,
1101,
1103,
1104,
1106,
1119,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1137
]
}
|
legislator
|
Calculate the percentage of legislators who are Senator and were born in 1964.
|
are senator refers to class IS NOT NULL; born in 1964 refers to birthday_bio = 1964; calculation = MULTIPLY(DIVIDE(COUNT(class IS NOT NULL THEN bioguide_id), COUNT(bioguide_id)), 1.0)
|
SELECT CAST(SUM(CASE WHEN T2.class IS NOT NULL THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.birthday_bio LIKE '%1964%'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,815 | 4,815 |
CREATE TABLE `current`
(
bioguide_id TEXT,
birthday_bio DATE,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
class REAL,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"LIKE",
"CASE",
"-",
"NULL",
"INNER JOIN",
"ON",
"NOT",
"CAST",
"COUNT",
"IS",
"FROM"
] | 17 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
42
],
"case_3": [
42,
148,
436,
522,
788,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
6,
16,
24,
42,
53,
61,
64,
71,
77,
81,
93,
106,
113,
120,
126,
127,
129,
138,
148,
150,
152,
153,
155,
158,
171,
184,
189,
191,
192,
195,
201,
207,
212,
219,
225,
226,
234,
236,
248,
254,
258,
261,
263,
264,
267,
271,
279,
298,
299,
300,
303,
304,
316,
317,
322,
323,
335,
347,
356,
360,
375,
383,
393,
395,
398,
402,
406,
409,
412,
415,
423,
427,
436,
438,
443,
448,
452,
453,
458,
476,
478,
479,
485,
486,
487,
493,
500,
504,
508,
514,
516,
517,
518,
522,
528,
535,
537,
540,
547,
550,
563,
564,
571,
573,
575,
580,
581,
597,
601,
620,
623,
628,
637,
640,
646,
658,
662,
666,
672,
676,
682,
686,
706,
710,
712,
723,
724,
740,
744,
747,
750,
753,
756,
762,
772,
776,
787,
788,
795,
796,
798,
800,
802,
805,
808,
813,
827,
832,
837,
841,
844,
848,
868,
870,
871,
874,
880,
894,
896,
909,
912,
922,
924,
926,
927,
930,
935,
941,
943,
944,
958,
959,
985,
1008,
1012,
1023,
1036,
1048,
1062,
1064,
1066,
1069,
1078,
1082,
1087,
1092,
1098,
1101,
1128,
1129,
1131,
1133,
1134,
1135
]
}
|
legislator
|
Calculate the percentage of legislators who are not Senator and were born before 1975.
|
not Senator refers to class is NULL; born before 1975 refers to birthday_bio < = 1975; calculation = MULTIPLY(DIVIDE(COUNT(class IS NULL THEN bioguide_id), COUNT(bioguide_id)), 1.0)
|
SELECT CAST(COUNT(CASE WHEN T2.class IS NULL THEN T1.bioguide_id ELSE NULL END) AS REAL) * 100 / COUNT(T1.bioguide_id) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE CAST(T1.birthday_bio AS DATE) <= 1975
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,816 | 4,816 |
CREATE TABLE `current`
(
bioguide_id TEXT,
birthday_bio DATE,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
class REAL,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"CASE",
"-",
"NULL",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"IS",
"FROM"
] | 18 |
challenging
|
{
"case_1": [
993
],
"case_2": [
42,
993
],
"case_3": [
42,
148,
436,
522,
788,
993,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
6,
16,
24,
42,
53,
61,
64,
71,
74,
77,
81,
93,
98,
106,
113,
115,
119,
120,
126,
127,
129,
138,
148,
150,
152,
153,
155,
158,
171,
183,
184,
187,
189,
191,
192,
195,
197,
199,
201,
207,
212,
219,
225,
226,
234,
236,
244,
248,
254,
258,
261,
264,
267,
271,
279,
298,
299,
300,
303,
304,
316,
317,
322,
323,
325,
335,
339,
347,
360,
375,
382,
383,
391,
392,
393,
394,
395,
398,
402,
406,
409,
412,
415,
416,
423,
427,
436,
438,
443,
445,
448,
452,
453,
458,
476,
478,
479,
485,
486,
487,
493,
500,
504,
508,
509,
514,
516,
517,
518,
520,
522,
528,
533,
535,
537,
540,
544,
547,
550,
559,
560,
563,
564,
571,
573,
575,
580,
581,
589,
597,
601,
620,
623,
628,
637,
640,
646,
649,
658,
662,
666,
672,
676,
681,
682,
686,
706,
710,
712,
723,
724,
740,
744,
747,
750,
753,
756,
762,
772,
776,
787,
788,
795,
796,
798,
800,
802,
805,
808,
813,
827,
837,
838,
841,
844,
848,
868,
870,
871,
874,
880,
894,
896,
898,
909,
912,
922,
924,
926,
927,
930,
935,
941,
943,
944,
954,
958,
959,
985,
993,
1008,
1012,
1023,
1036,
1048,
1062,
1064,
1066,
1069,
1072,
1078,
1082,
1087,
1092,
1098,
1101,
1123,
1128,
1129,
1131,
1133,
1134,
1135
]
}
|
legislator
|
What is the twitter name of the legislator whose birthday was on 5/27/1946?
|
birthday on 5/27/1946 refers to birthday_bio = '1946-05-27'
|
SELECT T2.twitter FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.birthday_bio = '1946-05-27'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,817 | 4,817 |
CREATE TABLE `current`
(
bioguide_id TEXT,
birthday_bio DATE,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
twitter TEXT,
twitter_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
489,
1074
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
State the opensecrets_id of the legislator whose YouTube name is Bluetkemeyer.
|
Bluetkemeyer refers to youtube
|
SELECT T1.opensecrets_id FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T2.youtube = 'BLuetkemeyer'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,818 | 4,818 |
CREATE TABLE `current`
(
bioguide_id TEXT,
opensecrets_id TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
youtube TEXT,
youtube_id TEXT,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
489,
1074
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
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}
|
legislator
|
Mention the username of Facebook of Ralph Abraham.
|
username of Facebook refers to facebook; Ralph Abraham is an official_full_name; official_full_name refers to first_name, last_name
|
SELECT T2.facebook FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.first_name = 'Ralph' AND T1.last_name = 'Abraham'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,819 | 4,819 |
CREATE TABLE `current`
(
bioguide_id TEXT,
first_name TEXT,
last_name TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
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489,
1074
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522,
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272,
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436,
489,
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522,
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1056,
1058,
1060,
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1063,
1064,
1065,
1066,
1067,
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1080,
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1100,
1101,
1103,
1104,
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1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
What is the first name of the legislator whose address at 1005 Longworth HOB; Washington DC 20515-1408?
|
SELECT T1.first_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.address = '1005 Longworth HOB Washington DC 20515-1408' GROUP BY T1.first_name
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,820 | 4,820 |
CREATE TABLE `current`
(
bioguide_id TEXT,
first_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
CREATE TABLE "current-terms"
address TEXT,
bioguide TEXT,
name TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
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42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
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1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
legislator
|
What is the Instagram name of the legislator whose birthday was on 8/24/1952?
|
Instagram name refers to instagram; birthday on 8/24/1952 refers to birthday_bio = '1952-08-24'
|
SELECT T1.instagram FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T2.birthday_bio = '1952-08-24'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,821 | 4,821 |
CREATE TABLE `current`
(
bioguide_id TEXT,
birthday_bio DATE,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
instagram TEXT,
instagram_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
489,
1074
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
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22,
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62,
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77,
80,
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84,
85,
86,
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94,
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96,
97,
98,
99,
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105,
106,
107,
111,
112,
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115,
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152,
153,
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155,
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183,
184,
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187,
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189,
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201,
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207,
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221,
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229,
232,
233,
234,
235,
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239,
240,
241,
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243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
State number of legislators who are not the senator among female legislators.
|
not the senator refers to class IS NULL OR class = ''; female refers to gender_bio = 'F';
|
SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'F' AND (T2.class IS NULL OR T2.class = '')
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,822 | 4,822 |
CREATE TABLE `current`
(
bioguide_id TEXT,
gender_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
class REAL,
end TEXT,
primary key bioguide, end,
foreign key bioguide references currentbioguide_id
)
|
[
"OR",
"AND",
"SELECT",
"AS",
"-",
"NULL",
"INNER JOIN",
"ON",
"COUNT",
"IS",
"FROM"
] | 12 |
medium
|
{
"case_1": [
42
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
8,
11,
12,
16,
19,
20,
21,
22,
24,
26,
27,
30,
33,
34,
36,
37,
39,
42,
44,
45,
47,
51,
52,
53,
55,
57,
62,
63,
66,
67,
68,
69,
71,
73,
74,
75,
76,
77,
82,
85,
86,
88,
90,
91,
93,
95,
96,
97,
98,
99,
105,
106,
111,
112,
113,
115,
116,
117,
118,
119,
121,
125,
126,
127,
128,
129,
131,
135,
138,
140,
141,
142,
143,
144,
146,
148,
150,
152,
154,
158,
159,
160,
163,
164,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
187,
188,
189,
190,
191,
195,
196,
197,
199,
200,
202,
206,
212,
214,
219,
225,
226,
227,
228,
229,
233,
234,
239,
240,
243,
244,
247,
254,
256,
258,
261,
262,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
282,
294,
296,
298,
299,
300,
301,
303,
305,
311,
314,
315,
316,
317,
319,
320,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
349,
354,
356,
358,
360,
361,
364,
368,
370,
373,
374,
375,
376,
382,
383,
384,
385,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
408,
409,
411,
412,
413,
414,
416,
417,
419,
424,
425,
426,
427,
428,
433,
436,
437,
438,
440,
443,
444,
445,
446,
448,
451,
452,
454,
455,
460,
462,
463,
464,
465,
467,
469,
470,
471,
473,
475,
476,
477,
478,
479,
480,
482,
484,
487,
488,
489,
490,
493,
494,
496,
497,
498,
500,
503,
505,
507,
509,
510,
514,
515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
541,
544,
547,
548,
550,
552,
557,
558,
559,
560,
561,
562,
563,
564,
566,
573,
580,
581,
582,
584,
586,
588,
589,
595,
596,
597,
601,
605,
606,
608,
610,
611,
612,
613,
615,
620,
624,
625,
626,
627,
630,
632,
633,
634,
637,
641,
643,
645,
646,
647,
648,
649,
651,
654,
658,
659,
660,
662,
663,
665,
666,
668,
669,
671,
672,
675,
677,
678,
681,
683,
684,
685,
686,
687,
688,
690,
693,
694,
695,
696,
697,
699,
702,
705,
706,
712,
714,
715,
721,
724,
726,
727,
733,
734,
735,
736,
739,
740,
741,
743,
746,
747,
749,
750,
752,
753,
754,
756,
758,
760,
762,
763,
765,
767,
768,
769,
772,
773,
775,
776,
777,
778,
779,
780,
783,
787,
788,
790,
793,
796,
797,
798,
799,
800,
802,
804,
805,
806,
807,
808,
810,
812,
813,
814,
818,
819,
824,
825,
827,
829,
830,
832,
835,
837,
838,
839,
841,
844,
848,
849,
851,
853,
857,
858,
859,
860,
861,
866,
867,
870,
873,
874,
876,
877,
878,
879,
880,
882,
886,
888,
892,
893,
894,
895,
896,
897,
898,
901,
902,
905,
907,
909,
911,
912,
915,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
941,
943,
944,
949,
950,
951,
953,
954,
956,
958,
959,
961,
963,
965,
969,
974,
975,
977,
980,
981,
985,
986,
991,
993,
996,
1000,
1001,
1005,
1006,
1010,
1013,
1014,
1015,
1017,
1019,
1020,
1022,
1023,
1027,
1031,
1037,
1039,
1042,
1043,
1044,
1046,
1047,
1050,
1051,
1052,
1058,
1059,
1061,
1062,
1063,
1064,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1086,
1087,
1092,
1094,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1115,
1119,
1123,
1124,
1128,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Give the religion of the legislator whose YouTube name is MaxineWaters.
|
MaxineWaters relates to youtube
|
SELECT T2.religion_bio FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T1.youtube = 'MaxineWaters'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,823 | 4,823 |
CREATE TABLE `current`
(
bioguide_id TEXT,
religion_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
youtube TEXT,
youtube_id TEXT,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
489,
1074
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
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37,
39,
41,
42,
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45,
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47,
48,
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51,
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57,
58,
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62,
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66,
68,
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71,
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73,
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90,
91,
93,
94,
95,
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98,
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101,
102,
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106,
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111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
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137,
138,
139,
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141,
142,
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148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
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165,
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170,
171,
172,
175,
176,
177,
178,
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180,
183,
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186,
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201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
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473,
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486,
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489,
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491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
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548,
550,
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556,
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559,
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561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
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575,
577,
578,
579,
580,
581,
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586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
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784,
786,
787,
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790,
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793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
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809,
810,
812,
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819,
822,
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824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
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851,
852,
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854,
857,
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861,
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866,
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908,
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959,
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980,
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986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
How many minority leaders have not been registered in Federal Election Commission data?
|
minority leaders is a title; have not been registered in Federal Election Commission data refers to fec_id IS NULL OR fec_id = ''
|
SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.title = 'Minority Leader' AND (T1.fec_id IS NULL OR T1.fec_id = '')
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,824 | 4,824 |
CREATE TABLE `current`
(
bioguide_id TEXT,
fec_id TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
title TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"OR",
"AND",
"SELECT",
"AS",
"-",
"NULL",
"INNER JOIN",
"ON",
"COUNT",
"IS",
"FROM"
] | 12 |
medium
|
{
"case_1": [
42
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
8,
11,
12,
16,
19,
20,
21,
22,
24,
26,
27,
30,
33,
34,
36,
37,
39,
42,
44,
45,
47,
51,
52,
53,
55,
57,
62,
63,
66,
67,
68,
69,
71,
73,
74,
75,
76,
77,
82,
85,
86,
88,
90,
91,
93,
95,
96,
97,
98,
99,
105,
106,
111,
112,
113,
115,
116,
117,
118,
119,
121,
125,
126,
127,
128,
129,
131,
135,
138,
140,
141,
142,
143,
144,
146,
148,
150,
152,
154,
158,
159,
160,
163,
164,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
187,
188,
189,
190,
191,
195,
196,
197,
199,
200,
202,
206,
212,
214,
219,
225,
226,
227,
228,
229,
233,
234,
239,
240,
243,
244,
247,
254,
256,
258,
261,
262,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
282,
294,
296,
298,
299,
300,
301,
303,
305,
311,
314,
315,
316,
317,
319,
320,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
349,
354,
356,
358,
360,
361,
364,
368,
370,
373,
374,
375,
376,
382,
383,
384,
385,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
408,
409,
411,
412,
413,
414,
416,
417,
419,
424,
425,
426,
427,
428,
433,
436,
437,
438,
440,
443,
444,
445,
446,
448,
451,
452,
454,
455,
460,
462,
463,
464,
465,
467,
469,
470,
471,
473,
475,
476,
477,
478,
479,
480,
482,
484,
487,
488,
489,
490,
493,
494,
496,
497,
498,
500,
503,
505,
507,
509,
510,
514,
515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
541,
544,
547,
548,
550,
552,
557,
558,
559,
560,
561,
562,
563,
564,
566,
573,
580,
581,
582,
584,
586,
588,
589,
595,
596,
597,
601,
605,
606,
608,
610,
611,
612,
613,
615,
620,
624,
625,
626,
627,
630,
632,
633,
634,
637,
641,
643,
645,
646,
647,
648,
649,
651,
654,
658,
659,
660,
662,
663,
665,
666,
668,
669,
671,
672,
675,
677,
678,
681,
683,
684,
685,
686,
687,
688,
690,
693,
694,
695,
696,
697,
699,
702,
705,
706,
712,
714,
715,
721,
724,
726,
727,
733,
734,
735,
736,
739,
740,
741,
743,
746,
747,
749,
750,
752,
753,
754,
756,
758,
760,
762,
763,
765,
767,
768,
769,
772,
773,
775,
776,
777,
778,
779,
780,
783,
787,
788,
790,
793,
796,
797,
798,
799,
800,
802,
804,
805,
806,
807,
808,
810,
812,
813,
814,
818,
819,
824,
825,
827,
829,
830,
832,
835,
837,
838,
839,
841,
844,
848,
849,
851,
853,
857,
858,
859,
860,
861,
866,
867,
870,
873,
874,
876,
877,
878,
879,
880,
882,
886,
888,
892,
893,
894,
895,
896,
897,
898,
901,
902,
905,
907,
909,
911,
912,
915,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
941,
943,
944,
949,
950,
951,
953,
954,
956,
958,
959,
961,
963,
965,
969,
974,
975,
977,
980,
981,
985,
986,
991,
993,
996,
1000,
1001,
1005,
1006,
1010,
1013,
1014,
1015,
1017,
1019,
1020,
1022,
1023,
1027,
1031,
1037,
1039,
1042,
1043,
1044,
1046,
1047,
1050,
1051,
1052,
1058,
1059,
1061,
1062,
1063,
1064,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1086,
1087,
1092,
1094,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1115,
1119,
1123,
1124,
1128,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
How many of the legislators are male?
|
male refers to gender_bio = 'M';
|
SELECT COUNT(*) FROM current WHERE gender_bio = 'M'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,825 | 4,825 |
CREATE TABLE `current`
(
gender_bio TEXT
)
|
[
"COUNT",
"SELECT",
"FROM"
] | 3 |
simple
|
{
"case_1": [
372,
492,
955,
1032,
1054,
1059
],
"case_2": [
372,
492,
955,
1032,
1054,
1059
],
"case_3": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
365,
366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
legislator
|
Provide the facebook ID of the facebook account named "RepWilson".
|
SELECT facebook_id FROM `social-media` WHERE facebook = 'RepWilson'
|
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,826 | 4,826 |
CREATE TABLE `social-media`
(
facebook TEXT,
facebook_id REAL
)
|
[
"-",
"SELECT",
"FROM"
] | 3 |
simple
|
{
"case_1": [
826
],
"case_2": [
826
],
"case_3": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
365,
366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
|
legislator
|
What is the total number of legislators with "John" as their first name?
|
SELECT COUNT(*) FROM current WHERE first_name = 'John'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,827 | 4,827 |
CREATE TABLE `current`
(
first_name TEXT
)
|
[
"COUNT",
"SELECT",
"FROM"
] | 3 |
simple
|
{
"case_1": [
372,
492,
955,
1032,
1054,
1059
],
"case_2": [
372,
492,
955,
1032,
1054,
1059
],
"case_3": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
365,
366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
|
legislator
|
Give the district numbers with an Anti-Administration party.
|
SELECT district FROM `historical-terms` WHERE party = 'Anti-Administration' GROUP BY district
|
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,828 | 4,828 |
CREATE TABLE `historical-terms`
(
district REAL,
party TEXT,
party_affiliations TEXT
)
|
[
"GROUP BY",
"-",
"SELECT",
"FROM"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
826,
882,
955,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
1,
2,
3,
11,
13,
15,
20,
21,
22,
28,
32,
34,
36,
39,
42,
43,
45,
55,
62,
69,
73,
74,
75,
78,
79,
85,
86,
89,
97,
98,
105,
108,
112,
115,
121,
125,
126,
128,
135,
140,
141,
142,
143,
148,
154,
158,
159,
167,
169,
172,
173,
179,
180,
182,
183,
184,
187,
188,
189,
191,
197,
199,
202,
206,
213,
214,
228,
229,
233,
240,
244,
247,
252,
253,
259,
272,
285,
286,
296,
300,
311,
313,
314,
319,
320,
325,
334,
339,
341,
344,
345,
348,
349,
352,
356,
359,
362,
364,
365,
368,
371,
373,
377,
378,
379,
381,
382,
383,
391,
392,
393,
394,
396,
403,
409,
411,
416,
424,
425,
436,
444,
445,
446,
448,
454,
460,
462,
466,
473,
481,
489,
496,
498,
503,
505,
507,
509,
510,
514,
520,
522,
529,
532,
536,
538,
542,
544,
548,
550,
551,
552,
559,
560,
562,
566,
579,
580,
586,
595,
601,
611,
617,
624,
630,
634,
638,
643,
645,
647,
649,
651,
654,
659,
660,
664,
665,
667,
669,
675,
677,
679,
681,
684,
688,
690,
693,
695,
696,
698,
701,
703,
709,
718,
719,
720,
721,
729,
733,
735,
737,
743,
746,
748,
751,
752,
754,
756,
758,
760,
768,
770,
777,
778,
779,
785,
788,
790,
795,
798,
805,
810,
817,
818,
823,
826,
827,
829,
830,
835,
838,
851,
858,
864,
866,
869,
870,
876,
878,
882,
886,
889,
893,
901,
905,
911,
918,
922,
925,
927,
929,
930,
932,
934,
943,
950,
951,
954,
955,
956,
959,
962,
963,
972,
973,
974,
975,
977,
979,
980,
981,
985,
987,
993,
1005,
1006,
1010,
1013,
1025,
1030,
1031,
1037,
1043,
1047,
1050,
1051,
1052,
1057,
1067,
1068,
1070,
1074,
1076,
1077,
1078,
1091,
1092,
1093,
1094,
1101,
1106,
1108,
1111,
1123,
1124,
1132,
1135,
1137
]
}
|
|
legislator
|
List the full name of legislators whose born in 1960.
|
full name refers to official_full_name; born in 1960 refers to birthday_bio like '1960%';
|
SELECT official_full_name FROM current WHERE birthday_bio LIKE '1960%'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,829 | 4,829 |
CREATE TABLE `current`
(
birthday_bio DATE,
official_full_name TEXT
)
|
[
"LIKE",
"SELECT",
"FROM"
] | 3 |
simple
|
{
"case_1": [
372,
492,
955,
1032,
1054,
1059
],
"case_2": [
372,
492,
955,
1032,
1054,
1059
],
"case_3": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
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268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
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357,
358,
359,
360,
361,
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363,
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365,
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373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
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455,
456,
457,
458,
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467,
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690,
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695,
696,
697,
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699,
700,
701,
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703,
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705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
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720,
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722,
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725,
726,
727,
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729,
730,
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1138,
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1140,
1141
]
}
|
legislator
|
What is the google entity ID of Benjamin Hawkins?
|
SELECT google_entity_id_id FROM historical WHERE first_name = 'Benjamin' AND last_name = 'Hawkins'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,830 | 4,830 |
CREATE TABLE `historical`
(
first_name TEXT,
google_entity_id_id TEXT,
last_name TEXT
)
|
[
"AND",
"SELECT",
"FROM"
] | 3 |
simple
|
{
"case_1": [
124
],
"case_2": [
124,
1069
],
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436,
489,
492,
522,
788,
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882,
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993,
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1054,
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1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
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826,
882,
955,
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500,
501,
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503,
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505,
506,
507,
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509,
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514,
515,
516,
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518,
519,
520,
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529,
530,
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532,
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534,
535,
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542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
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570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
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603,
604,
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606,
607,
608,
609,
610,
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612,
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617,
618,
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620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
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1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
|
legislator
|
Who is the Pro-Administration senator that runs from March 4, 1789 to December 31, 1791?
|
Pro-Administration refers to party = 'Pro-Administration'; senator refers to type = 'sen'; runs from March 4, 1789 refers to start = '1789-03-04'; runs to refers to end = '1791-12-31';
|
SELECT T1.first_name, T1.last_name FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Pro-Administration' AND T2.start = '1789-03-04' AND T2.end = '1791-12-31'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,831 | 4,831 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
first_name TEXT,
last_name TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
end TEXT,
last TEXT,
name TEXT,
party TEXT,
party_affiliations TEXT,
start TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 14 |
medium
|
{
"case_1": [
368
],
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272,
368,
788
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42,
148,
272,
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436,
489,
522,
788,
882,
993,
1074
],
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489,
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522,
788,
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955,
993,
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265,
266,
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269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
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313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
362,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
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487,
488,
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490,
491,
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494,
495,
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497,
498,
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510,
511,
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519,
520,
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523,
524,
526,
528,
529,
530,
532,
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535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
679,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
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750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
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767,
768,
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780,
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785,
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810,
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828,
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832,
833,
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835,
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838,
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1006,
1008,
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1012,
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1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
What are the first and last name of the representatives of the house in district 9?
|
representatives refers to type = 'rep';
|
SELECT T2.first_name, T2.last_name FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.district = 9
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,832 | 4,832 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
first_name TEXT,
last_name TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
district REAL,
last TEXT,
name TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
272
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Give the full name of the legislators with an independent party.
|
full name refers to official_full_name;
|
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Independent' GROUP BY T1.official_full_name
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,833 | 4,833 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
name TEXT,
party TEXT,
party_affiliations TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
List down the open secrets and thomas ID of the democrat senators of New Jersey.
|
open secrets refers to opensecrets_id; democrat refers to party = democrat; senators refers to type = 'sen'; New Jersey refers to state = 'NJ';
|
SELECT T1.opensecrets_id, T1.thomas_id FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.type = 'sen' AND T2.state = 'NJ' GROUP BY T1.opensecrets_id, T1.thomas_id
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,834 | 4,834 |
CREATE TABLE `current`
(
bioguide_id TEXT,
opensecrets_id TEXT,
thomas_id INTEGER,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
state TEXT,
state_rank TEXT,
type TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
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42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
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336,
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340,
341,
342,
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344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
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415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
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433,
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451,
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459,
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486,
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491,
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494,
495,
496,
497,
498,
499,
500,
501,
503,
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507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
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522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
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822,
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825,
827,
828,
829,
830,
832,
833,
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838,
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846,
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850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
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871,
873,
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875,
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877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
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924,
925,
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927,
928,
930,
931,
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937,
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959,
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967,
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970,
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988,
991,
993,
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996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Provide the google entity ID of the senators in New York.
|
google entity ID refers to google_entity_id_id; senators refers to type = 'sen'; New York refers to state = 'NY';
|
SELECT T1.google_entity_id_id FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.type = 'sen' AND T2.state = 'NY'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,835 | 4,835 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
google_entity_id_id TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
state TEXT,
state_rank TEXT,
type TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
272
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
36,
37,
39,
41,
42,
43,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
79,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
362,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
679,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
785,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
864,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Give the religion of the legislator with RSS url of http://www.corker.senate.gov/public/index.cfm/rss/feed.
|
religion refers to religion_bio;
|
SELECT T1.religion_bio FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.rss_url = 'http://www.corker.senate.gov/public/index.cfm/rss/feed' GROUP BY T1.religion_bio
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,836 | 4,836 |
CREATE TABLE `current`
(
bioguide_id TEXT,
religion_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
rss_url TEXT,
url TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"SELECT",
"/",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 12 |
medium
|
{
"case_1": [
42
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
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632,
633,
634,
636,
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638,
639,
640,
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649,
650,
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654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
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725,
726,
727,
728,
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734,
735,
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740,
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742,
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744,
745,
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751,
752,
753,
754,
755,
756,
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763,
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765,
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767,
768,
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771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
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788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
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870,
871,
873,
874,
875,
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877,
878,
879,
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891,
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897,
898,
900,
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902,
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926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
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940,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
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1038,
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1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
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1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
What is the party of the legislator named Susan M. Collins?
|
legislator's name refers to offical_full_name;
|
SELECT T2.party FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Susan M. Collins' GROUP BY T2.party
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,837 | 4,837 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
name TEXT,
party TEXT,
party_affiliations TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
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],
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42,
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148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
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620,
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638,
639,
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654,
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657,
658,
659,
660,
662,
663,
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666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
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700,
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704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
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726,
727,
728,
733,
734,
735,
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740,
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742,
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744,
745,
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750,
751,
752,
753,
754,
755,
756,
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761,
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763,
764,
765,
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1038,
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1078,
1080,
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1087,
1089,
1091,
1092,
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1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
List down the district number of the representative of the house named Jonathan Grout.
|
district number refers to district; representative of the house refers to type = 'rep';
|
SELECT T2.district FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.last_name = 'Grout' AND T1.first_name = 'Jonathan' AND T2.type = 'rep'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,838 | 4,838 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
first_name TEXT,
last_name TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
district REAL,
last TEXT,
name TEXT,
type TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
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272
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272,
368,
788
],
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42,
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522,
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993,
1074
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522,
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882,
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993,
1032,
1054,
1059,
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]
}
|
legislator
|
What is the party and state of the legislator that has an open secrets ID of N00003689 and thomas ID of 186?
|
SELECT T2.party, T2.state FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.opensecrets_id = 'N00003689' AND T1.thomas_id = 186 GROUP BY T2.party, T2.state
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,839 | 4,839 |
CREATE TABLE `current`
(
bioguide_id TEXT,
opensecrets_id TEXT,
thomas_id INTEGER,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
party TEXT,
party_affiliations TEXT,
state TEXT,
state_rank TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
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610,
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620,
621,
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624,
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627,
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630,
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632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
legislator
|
Provide the full name and birth date of the legislator with a contact form of http://www.brown.senate.gov/contact/.
|
full name refers to official_full_name; birth date refers to birthday_bio;
|
SELECT T1.official_full_name, T1.birthday_bio FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.contact_form = 'http://www.brown.senate.gov/contact/'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,840 | 4,840 |
CREATE TABLE `current`
(
bioguide_id TEXT,
birthday_bio DATE,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
contact_form TEXT,
name TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"/",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
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30,
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34,
36,
37,
39,
41,
42,
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45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
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65,
66,
68,
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72,
73,
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80,
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83,
84,
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90,
91,
93,
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95,
96,
97,
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101,
102,
105,
106,
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111,
112,
113,
115,
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117,
118,
119,
120,
121,
125,
126,
127,
128,
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130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
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170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
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194,
195,
196,
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200,
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202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Give the state and type of term of the legislator with the google entity ID of kg:/m/02pyzk.
|
type of term refers to type; google entity ID refers to google_entity_id_id; google_entity_id_id = 'kg:/m/02pyzk';
|
SELECT T2.state, T2.type FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.google_entity_id_id = 'kg:/m/02pyzk'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,841 | 4,841 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
google_entity_id_id TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
state TEXT,
state_rank TEXT,
type TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"SELECT",
"/",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
272
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
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272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
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]
}
|
legislator
|
Provide the type and end date of the term of the legislator named John Vining.
|
end date of the term refers to end;
|
SELECT T2.type, T2.end FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name = 'John' AND T1.last_name = 'Vining'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,842 | 4,842 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
first_name TEXT,
last_name TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
end TEXT,
last TEXT,
name TEXT,
type TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
272
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
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24,
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590,
592,
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597,
600,
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602,
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606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
679,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
785,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
864,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Find the difference between the number of female senators and representatives born between 1930 to 1970.
|
difference = SUBTRACT(SUM(type = 'sen' WHERE gender_bio = 'F' AND strftime('%Y', birthday_bio) between '1930' and '1970'), SUM(type = 'rep' WHERE gender_bio = 'F' AND strftime('%Y', birthday_bio) between '1930' and '1970')); female refers to gender_bio = 'F'; senators refers to type = 'sen'; representatives refers to type = 'rep'; born between 1930 to 1970 strftime('%Y', birthday_bio) between '1930' and '1970';
|
SELECT SUM(CASE WHEN T2.type = 'sen' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.type = 'rep' THEN 1 ELSE 0 END) FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'F' AND strftime('%Y', T1.birthday_bio) BETWEEN '1930' AND '1970'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,843 | 4,843 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
birthday_bio TEXT,
gender_bio TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
end TEXT,
type TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"CASE WHEN",
"AS",
"AND",
"SELECT",
"SUM",
"strftime",
"CASE",
"-",
"INNER JOIN",
"ON",
"BETWEEN",
"FROM"
] | 17 |
challenging
|
{
"case_1": [
788
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
522,
788
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
6,
16,
21,
24,
39,
42,
45,
64,
71,
74,
76,
77,
81,
85,
93,
98,
106,
112,
113,
115,
120,
127,
128,
129,
141,
148,
152,
153,
154,
155,
158,
169,
172,
173,
180,
183,
184,
187,
189,
191,
195,
197,
201,
207,
212,
219,
223,
225,
226,
228,
234,
236,
240,
244,
248,
256,
258,
261,
264,
267,
272,
279,
296,
299,
300,
304,
317,
319,
322,
325,
335,
339,
347,
356,
360,
368,
375,
382,
383,
391,
393,
398,
402,
403,
406,
409,
412,
414,
415,
416,
425,
427,
433,
436,
438,
444,
446,
448,
451,
452,
463,
470,
476,
478,
482,
486,
493,
496,
498,
500,
507,
514,
518,
520,
522,
528,
529,
530,
535,
537,
540,
544,
547,
550,
559,
562,
563,
564,
571,
573,
575,
580,
581,
612,
620,
623,
624,
628,
640,
643,
646,
662,
666,
675,
676,
677,
681,
682,
683,
684,
686,
690,
693,
695,
710,
723,
740,
744,
746,
747,
753,
754,
756,
758,
762,
767,
772,
776,
777,
787,
788,
795,
796,
798,
800,
805,
808,
810,
825,
827,
829,
832,
835,
838,
841,
844,
848,
849,
858,
868,
870,
871,
874,
878,
896,
905,
909,
912,
917,
922,
923,
924,
926,
930,
943,
944,
954,
958,
959,
974,
985,
998,
1008,
1012,
1023,
1027,
1031,
1062,
1064,
1067,
1068,
1078,
1082,
1086,
1087,
1092,
1098,
1100,
1101,
1123,
1131,
1133,
1134,
1135
]
}
|
legislator
|
Among the male legislators born between 1955 to 1965, what is the percentage of the legislators with an independent party?
|
male refers to gender_bio = 'M'; born between 1955 to 1965 refers to strftime('%Y', birthday_bio) between '1955' and '1965'; percentage = MULTIPLY(DIVIDE(SUM(party = 'Independent' WHERE gender_bio = 'M' AND strftime('%Y', birthday_bio) between '1955' and '1965'), COUNT(party WHERE gender_bio = 'M' AND strftime('%Y', birthday_bio) between '1955' and '1965')), 100.0);
|
SELECT CAST(SUM(CASE WHEN T2.party = 'Independent' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.party) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'M' AND strftime('%Y', T1.birthday_bio) BETWEEN '1955' AND '1965'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,844 | 4,844 |
CREATE TABLE `current`
(
bioguide_id TEXT,
birthday_bio DATE,
gender_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
end TEXT,
party TEXT,
party_affiliations TEXT,
primary key bioguide, end,
foreign key bioguide references currentbioguide_id
)
|
[
"CASE WHEN",
"AS",
"AND",
"SELECT",
"SUM",
"strftime",
"CASE",
"-",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"BETWEEN",
"FROM"
] | 17 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
42
],
"case_3": [
42,
148,
436,
788,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
6,
16,
24,
39,
42,
61,
64,
71,
74,
77,
81,
85,
93,
98,
106,
112,
113,
115,
119,
120,
127,
129,
141,
148,
152,
153,
155,
158,
169,
173,
183,
184,
187,
189,
191,
192,
195,
197,
201,
207,
212,
219,
223,
225,
226,
234,
236,
244,
248,
254,
256,
261,
264,
267,
271,
279,
296,
299,
300,
304,
316,
317,
319,
322,
323,
325,
335,
339,
347,
356,
360,
375,
382,
383,
391,
393,
402,
403,
406,
409,
412,
415,
416,
427,
436,
438,
444,
448,
451,
452,
453,
476,
478,
486,
487,
493,
500,
504,
510,
514,
517,
518,
520,
535,
537,
540,
544,
547,
550,
559,
562,
563,
564,
571,
573,
575,
580,
581,
597,
612,
620,
623,
628,
640,
646,
658,
662,
666,
676,
677,
681,
682,
686,
690,
710,
723,
740,
744,
747,
750,
753,
756,
762,
772,
776,
777,
787,
788,
795,
796,
798,
800,
802,
808,
810,
813,
827,
832,
838,
841,
848,
849,
868,
870,
871,
874,
896,
909,
912,
917,
922,
923,
924,
926,
930,
943,
944,
954,
958,
959,
985,
998,
1008,
1012,
1023,
1031,
1062,
1064,
1067,
1068,
1069,
1072,
1078,
1082,
1086,
1087,
1092,
1098,
1100,
1101,
1123,
1128,
1131,
1133,
1134,
1135
]
}
|
legislator
|
What is the name of the legislator with the ID of W000059?
|
name of the legislator = first_name, last_name; ID of W000059 refers to bioguide_id = 'W000059';
|
SELECT first_name, last_name FROM historical WHERE bioguide_id = 'W000059'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,845 | 4,845 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
first_name TEXT,
last_name TEXT
)
|
[
"SELECT",
"FROM"
] | 2 |
simple
|
{
"case_1": [
124
],
"case_2": [
124,
1069
],
"case_3": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
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871,
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909,
910,
911,
912,
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925,
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930,
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937,
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940,
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959,
960,
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963,
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967,
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969,
970,
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978,
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980,
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987,
988,
989,
990,
991,
992,
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995,
996,
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998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
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1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
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1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
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1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
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1062,
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1064,
1065,
1066,
1067,
1068,
1069,
1070,
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1072,
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1075,
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1077,
1078,
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1080,
1081,
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1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
legislator
|
Does Thomas Carnes have an account on ballotpedia.org?
|
if first_name = 'Thomas' and last_name = 'Carnes' AND ballotpedia_id is null then Thomas Carnes doesn't have an account on ballotpedia.org; if first_name = 'Thomas' and last_name = 'Carnes' AND ballotpedia_id is NOT null then Thomas Carnes have an account on ballotpedia.org;
|
SELECT CASE WHEN ballotpedia_id IS NULL THEN 'doesn''t have' ELSE 'have' END AS HaveorNot FROM historical WHERE first_name = 'Thomas' AND last_name = 'Carnes'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,846 | 4,846 |
CREATE TABLE `historical`
(
ballotpedia_id TEXT,
first_name TEXT,
last_name TEXT
)
|
[
"CASE WHEN",
"AS",
"AND",
"SELECT",
"CASE",
"NULL",
"IS",
"FROM"
] | 8 |
simple
|
{
"case_1": [
-1
],
"case_2": [
1069
],
"case_3": [
42,
148,
436,
522,
788,
1059,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
6,
16,
24,
42,
53,
61,
64,
67,
71,
77,
81,
92,
104,
106,
113,
120,
127,
129,
138,
148,
150,
152,
153,
155,
158,
171,
191,
192,
195,
200,
201,
207,
212,
215,
219,
223,
225,
226,
234,
236,
248,
258,
261,
263,
264,
267,
271,
279,
294,
298,
299,
300,
303,
304,
305,
322,
335,
347,
360,
362,
375,
383,
393,
395,
398,
402,
406,
412,
415,
423,
427,
436,
438,
443,
452,
453,
458,
476,
478,
479,
485,
486,
493,
500,
504,
508,
514,
516,
517,
518,
522,
528,
533,
535,
540,
547,
550,
563,
564,
571,
573,
575,
580,
581,
589,
601,
620,
623,
628,
637,
640,
646,
662,
666,
672,
676,
682,
686,
706,
710,
712,
723,
724,
740,
744,
747,
753,
762,
772,
776,
787,
788,
795,
796,
798,
800,
805,
808,
827,
837,
841,
844,
848,
868,
871,
874,
880,
894,
896,
909,
912,
922,
924,
926,
927,
935,
941,
943,
944,
959,
965,
978,
982,
985,
998,
1008,
1012,
1014,
1020,
1036,
1048,
1059,
1062,
1064,
1066,
1069,
1078,
1082,
1087,
1092,
1098,
1129,
1131,
1133,
1134,
1135
]
}
|
legislator
|
How many legislators were born in 1736?
|
born in 1736 refers to birthday_bio like '1736%';
|
SELECT COUNT(bioguide_id) FROM historical WHERE birthday_bio LIKE '1736%'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,847 | 4,847 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
birthday_bio TEXT
)
|
[
"COUNT",
"LIKE",
"SELECT",
"FROM"
] | 4 |
simple
|
{
"case_1": [
124
],
"case_2": [
124,
1069
],
"case_3": [
124,
148,
436,
993,
1054,
1059,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
6,
9,
11,
13,
15,
16,
20,
22,
25,
26,
27,
28,
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35,
36,
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51,
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91,
93,
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106,
108,
109,
113,
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121,
124,
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126,
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131,
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140,
142,
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147,
148,
152,
157,
159,
160,
164,
167,
168,
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170,
173,
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185,
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188,
189,
190,
191,
192,
196,
197,
198,
199,
202,
203,
204,
206,
210,
212,
214,
216,
224,
225,
226,
227,
229,
230,
233,
234,
240,
243,
244,
247,
252,
254,
256,
258,
259,
261,
263,
264,
267,
268,
269,
271,
273,
276,
277,
286,
291,
293,
294,
299,
301,
303,
311,
314,
315,
316,
317,
319,
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323,
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330,
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336,
338,
339,
341,
344,
345,
348,
349,
352,
354,
356,
358,
359,
360,
364,
370,
371,
373,
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375,
377,
380,
382,
383,
384,
391,
392,
394,
397,
399,
401,
402,
403,
406,
407,
409,
410,
411,
412,
415,
416,
417,
420,
421,
423,
424,
426,
430,
433,
436,
438,
443,
444,
445,
447,
448,
452,
453,
454,
458,
460,
462,
464,
465,
466,
467,
469,
471,
473,
476,
477,
478,
481,
484,
485,
487,
488,
490,
493,
500,
504,
505,
509,
510,
512,
515,
516,
517,
519,
520,
525,
526,
531,
532,
535,
536,
537,
538,
542,
543,
544,
545,
546,
547,
548,
552,
554,
557,
558,
559,
560,
563,
564,
566,
573,
580,
581,
582,
585,
591,
594,
595,
596,
597,
598,
603,
606,
608,
611,
613,
618,
620,
624,
627,
629,
630,
632,
633,
634,
641,
645,
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649,
654,
656,
658,
659,
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662,
663,
664,
665,
666,
667,
668,
669,
671,
673,
675,
680,
681,
687,
688,
689,
692,
694,
696,
698,
703,
705,
707,
712,
714,
718,
719,
721,
727,
730,
733,
734,
735,
736,
737,
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740,
743,
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748,
749,
750,
752,
753,
754,
756,
757,
760,
762,
768,
769,
770,
772,
774,
778,
779,
787,
790,
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796,
797,
798,
799,
800,
802,
804,
811,
812,
813,
814,
817,
818,
819,
820,
821,
824,
827,
828,
830,
831,
832,
838,
839,
841,
843,
844,
849,
850,
851,
853,
857,
858,
865,
866,
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869,
870,
874,
875,
876,
877,
879,
886,
888,
890,
893,
894,
896,
897,
898,
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901,
902,
903,
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909,
911,
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915,
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930,
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950,
951,
954,
956,
958,
960,
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963,
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969,
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980,
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996,
1000,
1005,
1006,
1008,
1010,
1011,
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1050,
1051,
1053,
1054,
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1057,
1058,
1059,
1062,
1064,
1067,
1069,
1070,
1071,
1072,
1076,
1077,
1078,
1079,
1082,
1084,
1086,
1087,
1090,
1094,
1096,
1098,
1100,
1101,
1103,
1104,
1106,
1111,
1112,
1113,
1117,
1119,
1121,
1123,
1124,
1126,
1127,
1128,
1131,
1133,
1134,
1135,
1137
]
}
|
legislator
|
Which legislators are woman?
|
woman refers to gender_bio = 'F';
|
SELECT first_name, last_name FROM historical WHERE gender_bio = 'F'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,848 | 4,848 |
CREATE TABLE `historical`
(
first_name TEXT,
gender_bio TEXT,
last_name TEXT
)
|
[
"SELECT",
"FROM"
] | 2 |
simple
|
{
"case_1": [
124
],
"case_2": [
124,
1069
],
"case_3": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
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44,
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47,
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50,
51,
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53,
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55,
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94,
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97,
98,
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100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
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131,
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162,
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165,
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170,
171,
172,
173,
174,
175,
176,
177,
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179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
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339,
340,
341,
342,
343,
344,
345,
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347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
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366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
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698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
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722,
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727,
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729,
730,
731,
732,
733,
734,
735,
736,
737,
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740,
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745,
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749,
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751,
752,
753,
754,
755,
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757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
legislator
|
How many districts are in Idaho?
|
Idaho refers to state = 'ID';
|
SELECT COUNT(district) FROM `current-terms` WHERE state = 'ID'
|
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,849 | 4,849 |
CREATE TABLE `current-terms`
(
district REAL,
state TEXT,
state_rank TEXT
)
|
[
"COUNT",
"-",
"SELECT",
"FROM"
] | 4 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
42,
124,
148,
272,
368,
436,
489,
522,
788,
826,
882,
955,
993,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
6,
9,
11,
13,
15,
16,
21,
22,
25,
27,
28,
30,
32,
34,
35,
36,
37,
39,
40,
42,
43,
45,
47,
51,
53,
55,
61,
62,
63,
67,
68,
69,
73,
74,
75,
77,
78,
79,
82,
85,
86,
87,
88,
89,
91,
93,
96,
97,
98,
105,
106,
108,
109,
112,
113,
115,
117,
118,
119,
121,
124,
125,
126,
128,
131,
135,
140,
141,
142,
143,
146,
147,
148,
152,
154,
157,
158,
159,
160,
164,
167,
169,
170,
172,
173,
175,
179,
180,
182,
183,
184,
185,
187,
188,
189,
190,
191,
192,
196,
197,
198,
199,
202,
203,
206,
210,
212,
214,
216,
224,
225,
226,
227,
228,
229,
230,
233,
234,
240,
243,
244,
247,
252,
253,
254,
256,
259,
261,
267,
268,
269,
271,
272,
273,
276,
277,
286,
291,
293,
294,
296,
299,
300,
301,
303,
311,
314,
316,
317,
319,
320,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
348,
349,
352,
354,
356,
358,
359,
360,
362,
364,
368,
370,
371,
373,
374,
375,
380,
382,
383,
384,
391,
392,
393,
394,
396,
399,
401,
403,
406,
409,
410,
411,
412,
416,
417,
420,
421,
423,
424,
425,
426,
436,
443,
444,
445,
446,
447,
448,
453,
454,
458,
460,
462,
464,
465,
466,
467,
469,
471,
473,
476,
477,
478,
481,
484,
485,
487,
488,
489,
490,
493,
496,
498,
500,
503,
504,
505,
507,
509,
510,
512,
514,
515,
516,
517,
519,
520,
522,
526,
529,
531,
532,
535,
536,
537,
538,
542,
543,
544,
545,
547,
548,
550,
552,
554,
558,
559,
560,
562,
563,
564,
566,
573,
580,
581,
582,
585,
591,
594,
595,
596,
597,
598,
601,
603,
606,
608,
611,
613,
617,
618,
620,
624,
627,
629,
630,
632,
633,
634,
641,
643,
645,
646,
647,
649,
654,
656,
658,
659,
660,
661,
662,
663,
664,
665,
667,
668,
669,
671,
673,
675,
677,
679,
680,
681,
684,
687,
688,
689,
692,
693,
694,
695,
696,
698,
703,
705,
707,
709,
712,
714,
718,
719,
721,
727,
729,
730,
733,
734,
735,
736,
737,
739,
740,
743,
746,
748,
749,
750,
752,
753,
754,
756,
757,
758,
760,
762,
768,
769,
770,
772,
777,
778,
779,
785,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
811,
812,
813,
814,
817,
818,
819,
820,
821,
824,
826,
827,
829,
830,
831,
835,
838,
839,
841,
843,
849,
851,
853,
857,
858,
864,
865,
866,
867,
869,
870,
874,
876,
877,
878,
882,
886,
888,
890,
893,
894,
896,
897,
898,
899,
901,
902,
903,
905,
909,
911,
912,
913,
915,
917,
918,
922,
923,
924,
925,
926,
927,
930,
934,
935,
941,
942,
943,
945,
950,
951,
954,
955,
956,
958,
959,
960,
961,
963,
965,
968,
969,
972,
974,
975,
976,
977,
979,
980,
981,
983,
985,
986,
993,
996,
1005,
1006,
1008,
1010,
1011,
1013,
1014,
1015,
1020,
1022,
1023,
1030,
1031,
1037,
1042,
1043,
1047,
1050,
1051,
1052,
1053,
1055,
1057,
1058,
1059,
1062,
1064,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1076,
1077,
1078,
1079,
1082,
1084,
1086,
1087,
1090,
1092,
1093,
1094,
1096,
1100,
1101,
1103,
1104,
1106,
1111,
1112,
1113,
1119,
1121,
1123,
1124,
1126,
1127,
1128,
1131,
1132,
1133,
1134,
1135,
1137
]
}
|
legislator
|
How many legislators are not senator?
|
not senator refers to class is null;
|
SELECT COUNT(bioguide) FROM `current-terms` WHERE class IS NULL
|
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,850 | 4,850 |
CREATE TABLE `current-terms`
(
bioguide TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"SELECT",
"-",
"NULL",
"COUNT",
"IS",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
42,
148,
436,
522,
993,
1059,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
2,
16,
32,
42,
53,
67,
74,
92,
98,
106,
115,
126,
138,
148,
150,
152,
158,
171,
173,
183,
184,
187,
189,
195,
197,
199,
244,
258,
259,
263,
267,
294,
298,
299,
303,
305,
325,
339,
375,
382,
383,
391,
392,
393,
394,
395,
398,
402,
406,
409,
416,
423,
436,
443,
445,
448,
458,
476,
478,
479,
485,
493,
508,
509,
510,
514,
516,
520,
522,
528,
533,
544,
559,
573,
580,
589,
601,
620,
637,
646,
649,
667,
672,
681,
706,
712,
724,
737,
756,
770,
772,
795,
798,
805,
817,
837,
838,
844,
870,
880,
894,
922,
926,
927,
930,
935,
941,
943,
954,
965,
978,
982,
985,
993,
1014,
1020,
1036,
1048,
1057,
1059,
1062,
1066,
1069,
1070,
1078,
1101,
1123,
1129,
1131,
1133,
1134
]
}
|
legislator
|
What is the ratio between male and female legislators?
|
ratio = DIVIDE(SUM(gender_bio = 'M'), SUM(gender_bio = 'F')); male refers to gender_bio = 'M'; female refers to gender_bio = 'F'
|
SELECT CAST(SUM(CASE WHEN gender_bio = 'M' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN gender_bio = 'F' THEN 1 ELSE 0 END) FROM historical
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,851 | 4,851 |
CREATE TABLE `historical`
(
gender_bio TEXT
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"CAST",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
1069
],
"case_3": [
42,
148,
788,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
6,
10,
16,
24,
35,
39,
42,
54,
61,
64,
71,
77,
81,
83,
87,
93,
94,
104,
106,
112,
113,
119,
120,
122,
127,
129,
141,
148,
152,
153,
155,
158,
169,
171,
173,
184,
186,
189,
191,
192,
195,
201,
205,
207,
212,
213,
215,
219,
223,
225,
226,
228,
234,
236,
245,
248,
254,
258,
261,
263,
264,
267,
271,
278,
279,
298,
299,
300,
303,
304,
305,
313,
316,
317,
322,
323,
335,
347,
356,
360,
362,
363,
365,
367,
375,
378,
379,
380,
381,
383,
393,
398,
402,
406,
409,
412,
415,
423,
427,
438,
443,
448,
450,
451,
452,
453,
458,
470,
476,
478,
479,
483,
485,
486,
487,
488,
500,
504,
506,
508,
510,
514,
517,
518,
527,
528,
535,
537,
540,
547,
550,
560,
563,
564,
571,
573,
575,
579,
580,
581,
597,
601,
609,
612,
620,
623,
628,
630,
638,
640,
646,
650,
658,
661,
662,
666,
672,
676,
682,
686,
690,
695,
701,
706,
709,
710,
717,
723,
740,
744,
745,
747,
750,
753,
762,
772,
776,
777,
787,
788,
795,
796,
798,
800,
802,
805,
808,
810,
813,
823,
825,
827,
832,
841,
844,
848,
868,
870,
871,
872,
874,
880,
894,
896,
898,
909,
912,
913,
922,
924,
926,
929,
939,
941,
943,
944,
958,
959,
962,
973,
978,
979,
985,
998,
1004,
1008,
1012,
1023,
1027,
1031,
1036,
1038,
1048,
1062,
1064,
1066,
1068,
1069,
1070,
1072,
1075,
1078,
1082,
1087,
1092,
1093,
1098,
1100,
1110,
1121,
1128,
1129,
1131,
1133,
1134,
1135
]
}
|
legislator
|
Calculate the percentage of famous_legislatorss.
|
percentage = MULTIPLY(DIVIDE(SUM(wikipedia_id is not null), (bioguide_id)), 100.0); famous legislators refers to wikipedia_id is not null;
|
SELECT CAST(SUM(CASE WHEN wikipedia_id IS NOT NULL THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(bioguide_id) FROM historical
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,852 | 4,852 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
wikipedia_id TEXT
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"NULL",
"NOT",
"CAST",
"COUNT",
"IS",
"FROM"
] | 11 |
medium
|
{
"case_1": [
1069
],
"case_2": [
1069
],
"case_3": [
42,
148,
436,
522,
788,
1059,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
6,
16,
24,
35,
42,
53,
61,
64,
67,
71,
77,
81,
87,
92,
93,
104,
106,
113,
120,
127,
129,
138,
148,
150,
152,
153,
155,
158,
171,
173,
184,
191,
192,
195,
201,
207,
212,
215,
219,
223,
225,
226,
234,
236,
248,
254,
258,
261,
263,
264,
267,
271,
279,
298,
299,
300,
303,
304,
305,
316,
317,
322,
323,
335,
347,
360,
375,
383,
393,
395,
398,
402,
406,
409,
412,
415,
423,
427,
436,
438,
443,
448,
452,
453,
458,
476,
478,
479,
485,
486,
487,
493,
500,
504,
508,
510,
514,
516,
517,
518,
522,
528,
535,
537,
540,
547,
550,
563,
564,
571,
573,
575,
580,
581,
597,
601,
620,
623,
628,
637,
640,
646,
658,
662,
666,
672,
676,
682,
686,
706,
710,
712,
723,
724,
740,
744,
747,
750,
753,
762,
772,
776,
787,
788,
795,
796,
798,
800,
802,
805,
808,
813,
827,
837,
841,
844,
848,
868,
870,
871,
874,
880,
894,
896,
909,
912,
913,
922,
924,
926,
927,
935,
941,
943,
944,
958,
959,
978,
982,
985,
998,
1008,
1012,
1014,
1020,
1023,
1036,
1048,
1059,
1062,
1064,
1066,
1069,
1078,
1082,
1087,
1092,
1098,
1121,
1129,
1131,
1133,
1134,
1135
]
}
|
legislator
|
Which legislators do not have instagram account?
|
do not have instagram account refers to instagram is null;
|
SELECT T1.first_name, T1.last_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.instagram IS NULL
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,853 | 4,853 |
CREATE TABLE `current`
(
bioguide_id TEXT,
first_name TEXT,
last_name TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
instagram TEXT,
instagram_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"NULL",
"INNER JOIN",
"ON",
"IS",
"FROM"
] | 9 |
simple
|
{
"case_1": [
489,
1074
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
508,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
List all the representatives in 1789 along with the districts and state.
|
representatives refers to type = 'rep'; in 1789 refers to start like '1789%';
|
SELECT T2.district, T2.state FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.start LIKE '1789%'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,854 | 4,854 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
district REAL,
start TEXT,
state TEXT,
state_rank TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"SELECT",
"LIKE",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
272
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
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272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
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11,
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42,
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49,
51,
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53,
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62,
63,
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65,
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71,
72,
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80,
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96,
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102,
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111,
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121,
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127,
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130,
131,
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134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
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170,
171,
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175,
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206,
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214,
217,
218,
219,
220,
221,
225,
226,
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229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
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824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
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850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
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896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
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922,
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924,
925,
926,
927,
928,
930,
931,
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937,
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951,
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954,
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958,
959,
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980,
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993,
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997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
State all the district that Benjamin Contee has served before.
|
SELECT T2.district FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name = 'Benjamin' AND T1.last_name = 'Contee'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,855 | 4,855 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
first_name TEXT,
last_name TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
district REAL,
last TEXT,
name TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
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272
],
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272,
368,
788
],
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42,
148,
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}
|
|
legislator
|
State the address of Amy Klobuchar at the term of 4th of January 2001.
|
at the term of 4th of January 2001 refers to start = '2001-04-01';
|
SELECT T2.address FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name = 'Amy' AND T1.last_name = 'Klobuchar' AND T2.start = '2001-04-01'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,856 | 4,856 |
CREATE TABLE `current`
(
bioguide_id TEXT,
first_name TEXT,
last_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
CREATE TABLE "current-terms"
address TEXT,
bioguide TEXT,
last TEXT,
name TEXT,
start TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 11 |
medium
|
{
"case_1": [
42
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
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741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
785,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
864,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
List all the junior senators in 1997.
|
junior senators refers to state_rank = 'junior'; in 1997 refers to start like '1997%';
|
SELECT T1.first_name, T1.last_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.start LIKE '1997%' AND T2.state_rank = 'junior'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,857 | 4,857 |
CREATE TABLE `current`
(
bioguide_id TEXT,
first_name TEXT,
last_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
last TEXT,
name TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"LIKE",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
How many female legislators become representatives for California in 2015?
|
female legislators refers to gender_bio = 'F'; representatives refers to type = 'rep'; for California refers to state = 'CA'; in 2015 refers to the year of start date is '2015';
|
SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE STRFTIME('%Y', T2.start) = '2015' AND T2.state = 'CA' AND T1.gender_bio = 'F'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,858 | 4,858 |
CREATE TABLE `current`
(
bioguide_id TEXT,
gender_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
end TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
primary key bioguide, end,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"STRFTIME",
"COUNT",
"FROM"
] | 11 |
medium
|
{
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42
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}
|
legislator
|
What is the Twitter ID of Emanuel Cleaver?
|
SELECT T1.twitter_id FROM `social-media` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.first_name = 'Emanuel' AND T2.last_name = 'Cleaver'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,859 | 4,859 |
CREATE TABLE `current`
(
bioguide_id TEXT,
first_name TEXT,
last_name TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
twitter TEXT,
twitter_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
489,
1074
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
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7,
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806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
864,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
legislator
|
State all the Facebook ID for current legislators under the democrat party.
|
SELECT T2.facebook_id FROM `current-terms` AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide = T2.bioguide WHERE T1.party = 'Democrat' GROUP BY T2.facebook_id
|
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,860 | 4,860 |
CREATE TABLE `current-terms`
(
bioguide TEXT,
party TEXT,
party_affiliations TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
legislator
|
Which historical female legislator that have their term ended on the 3rd of March 1791?
|
female legislator refers to gender_bio = 'F'; term ended on the 3rd of March 1791 refers to end = '1791-03-03';
|
SELECT T1.first_name, T1.last_name FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.end = '1791-03-03' AND T1.gender_bio = 'F'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,861 | 4,861 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
first_name TEXT,
gender_bio TEXT,
last_name TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
end TEXT,
last TEXT,
name TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
"case_1": [
272
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
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}
|
legislator
|
List all the Jewish current legislators that had served in Florida.
|
Jewish refers to religion_bio = 'Jewish'; in Florida refers to state = 'FL';
|
SELECT T1.first_name, T1.last_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.religion_bio = 'Jewish' AND T2.state = 'FL' GROUP BY T1.first_name, T1.last_name
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,862 | 4,862 |
CREATE TABLE `current`
(
bioguide_id TEXT,
first_name TEXT,
last_name TEXT,
religion_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
last TEXT,
name TEXT,
state TEXT,
state_rank TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
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704,
705,
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710,
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878,
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880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
What is the ratio between famous current legislators and famous historical legislators?
|
ratio = DIVIDE(COUNT(current.bioguide_id WHERE current.wikipedia_id is not null), COUNT(historical.bioguide_id WHERE historical.wikipedia_id is not null)); famous current legislators refers to current.wikipedia_id is not null; famous historical legislators refers to historical.wikipedia_id is not null;
|
SELECT CAST(COUNT(CASE WHEN wikipedia_id IS NOT NULL THEN bioguide_id ELSE 0 END) AS REAL) * 100 / ( SELECT COUNT(CASE WHEN wikipedia_id IS NOT NULL THEN bioguide_id ELSE 0 END) FROM historical ) FROM current
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,863 | 4,863 |
CREATE TABLE `current`
(
bioguide_id TEXT,
wikipedia_id TEXT,
primary key bioguide_id
)
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
wikipedia_id TEXT
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"CASE",
"NULL",
"NOT",
"CAST",
"COUNT",
"IS",
"FROM"
] | 18 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
42,
148,
436,
522,
1059,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
6,
16,
24,
42,
53,
61,
64,
67,
77,
92,
106,
113,
120,
138,
148,
150,
152,
158,
171,
191,
192,
195,
201,
212,
215,
223,
225,
226,
234,
236,
248,
258,
261,
263,
264,
267,
271,
298,
299,
300,
303,
304,
305,
322,
335,
347,
360,
375,
383,
393,
395,
398,
402,
406,
412,
423,
436,
443,
452,
453,
458,
476,
478,
479,
485,
493,
500,
504,
508,
514,
516,
517,
522,
528,
535,
540,
547,
563,
564,
573,
575,
580,
581,
601,
620,
623,
637,
646,
662,
672,
676,
686,
706,
710,
712,
724,
740,
744,
753,
762,
772,
787,
795,
796,
798,
800,
805,
808,
827,
837,
841,
844,
874,
880,
894,
896,
909,
912,
922,
924,
926,
927,
935,
941,
943,
959,
978,
982,
985,
998,
1008,
1014,
1020,
1036,
1048,
1059,
1062,
1064,
1066,
1069,
1078,
1082,
1087,
1129,
1131,
1133,
1134,
1135
]
}
|
legislator
|
Based on the number of current legislators, calculate the percentage of legislators that served in 21st-Century.
|
percentage = MULTIPLY(DIVIDE(SUM(strftime('%Y', start) between '2000' and '2017'), COUNT(bioguide_id)), 100.0); 1st-Century refers to strftime('%Y', T2.start) between '2000' and '2017';
|
SELECT CAST(SUM(CASE WHEN strftime('%Y', T2.start) BETWEEN '2000' AND '2017' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.bioguide_id) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,864 | 4,864 |
CREATE TABLE `current`
(
bioguide_id TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
start TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"CASE WHEN",
"AS",
"AND",
"SELECT",
"SUM",
"strftime",
"CASE",
"-",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"BETWEEN",
"FROM"
] | 16 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
42
],
"case_3": [
42,
148,
436,
788,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
6,
16,
24,
39,
42,
61,
64,
71,
74,
77,
81,
85,
93,
98,
106,
112,
113,
115,
119,
120,
127,
129,
141,
148,
152,
153,
155,
158,
169,
173,
183,
184,
187,
189,
191,
192,
195,
197,
201,
207,
212,
219,
223,
225,
226,
234,
236,
244,
248,
254,
256,
261,
264,
267,
271,
279,
296,
299,
300,
304,
316,
317,
319,
322,
323,
325,
335,
339,
347,
356,
360,
375,
382,
383,
391,
393,
402,
403,
406,
409,
412,
415,
416,
427,
436,
438,
444,
448,
451,
452,
453,
476,
478,
486,
487,
493,
500,
504,
510,
514,
517,
518,
520,
535,
537,
540,
544,
547,
550,
559,
562,
563,
564,
571,
573,
575,
580,
581,
597,
612,
620,
623,
628,
640,
646,
658,
662,
666,
676,
677,
681,
682,
686,
690,
710,
723,
740,
744,
747,
750,
753,
756,
762,
772,
776,
777,
787,
788,
795,
796,
798,
800,
802,
808,
810,
813,
827,
832,
838,
841,
848,
849,
868,
870,
871,
874,
896,
909,
912,
917,
922,
923,
924,
926,
930,
943,
944,
954,
958,
959,
985,
998,
1008,
1012,
1023,
1031,
1062,
1064,
1067,
1068,
1069,
1072,
1078,
1082,
1086,
1087,
1092,
1098,
1100,
1101,
1123,
1128,
1131,
1133,
1134,
1135
]
}
|
legislator
|
How many Catholic legislators do not have an account on ballotpedia.org?
|
Catholic refers to religion_bio = 'Catholic'; do not have an account on ballotpedia.org refers to ballotpedia_id is null;
|
SELECT COUNT(bioguide_id) FROM historical WHERE religion_bio = 'Catholic' AND ballotpedia_id IS NULL
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,865 | 4,865 |
CREATE TABLE `historical`
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
religion_bio TEXT
)
|
[
"AND",
"SELECT",
"NULL",
"COUNT",
"IS",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
1069
],
"case_3": [
42,
148,
436,
522,
1059,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
2,
4,
16,
22,
30,
32,
37,
40,
42,
47,
51,
53,
63,
67,
68,
69,
73,
74,
75,
88,
92,
93,
96,
98,
106,
109,
113,
115,
117,
118,
119,
125,
126,
131,
138,
142,
143,
146,
148,
150,
152,
158,
160,
164,
169,
170,
171,
175,
183,
184,
187,
195,
197,
200,
214,
227,
230,
244,
256,
258,
259,
263,
267,
268,
276,
277,
294,
298,
299,
301,
303,
305,
314,
317,
319,
325,
330,
339,
341,
370,
374,
375,
382,
383,
391,
393,
395,
398,
399,
402,
403,
406,
416,
417,
421,
423,
424,
426,
436,
443,
444,
448,
458,
464,
469,
476,
477,
478,
479,
485,
490,
493,
500,
508,
510,
512,
514,
515,
516,
519,
520,
522,
526,
528,
533,
537,
544,
554,
558,
559,
563,
573,
581,
582,
589,
591,
594,
595,
601,
608,
613,
618,
620,
627,
632,
633,
637,
641,
646,
656,
663,
667,
668,
671,
672,
680,
687,
692,
706,
707,
712,
714,
718,
719,
724,
727,
730,
734,
735,
739,
740,
743,
749,
753,
756,
760,
768,
772,
797,
798,
799,
800,
804,
805,
814,
817,
819,
820,
824,
830,
831,
837,
838,
843,
844,
849,
851,
853,
867,
870,
877,
880,
886,
888,
894,
896,
902,
903,
917,
923,
924,
926,
927,
930,
935,
941,
945,
954,
956,
958,
961,
965,
969,
978,
982,
985,
986,
996,
1008,
1014,
1020,
1022,
1023,
1036,
1042,
1048,
1058,
1059,
1062,
1064,
1066,
1067,
1069,
1071,
1072,
1079,
1084,
1086,
1100,
1101,
1103,
1104,
1119,
1121,
1123,
1126,
1128,
1129,
1131,
1133,
1134
]
}
|
legislator
|
How many class 1 senators belong to the Republican party?
|
senators refers to type = 'sen';
|
SELECT COUNT(bioguide) FROM `current-terms` WHERE class = 1 AND party = 'Republican'
|
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,866 | 4,866 |
CREATE TABLE `current-terms`
(
bioguide TEXT,
party TEXT,
party_affiliations TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"AND",
"SELECT",
"-",
"COUNT",
"FROM"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
42,
124,
148,
272,
368,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
8,
9,
10,
11,
12,
13,
15,
16,
19,
20,
21,
22,
24,
25,
26,
27,
28,
30,
32,
33,
34,
35,
36,
37,
38,
39,
40,
42,
43,
44,
45,
47,
50,
51,
52,
53,
55,
56,
57,
61,
62,
63,
66,
67,
68,
69,
71,
73,
74,
75,
76,
77,
78,
79,
82,
85,
86,
87,
88,
89,
90,
91,
93,
95,
96,
97,
98,
99,
100,
105,
106,
108,
109,
111,
112,
113,
115,
116,
117,
118,
119,
121,
124,
125,
126,
127,
128,
129,
131,
135,
138,
140,
141,
142,
143,
144,
146,
147,
148,
152,
154,
157,
158,
159,
160,
163,
164,
167,
168,
169,
170,
172,
173,
175,
176,
177,
179,
180,
182,
183,
184,
185,
187,
188,
189,
190,
191,
192,
196,
197,
198,
199,
200,
202,
203,
206,
210,
212,
214,
216,
219,
223,
224,
225,
226,
227,
228,
229,
230,
233,
234,
239,
240,
243,
244,
247,
252,
253,
254,
255,
256,
258,
259,
261,
262,
265,
266,
267,
268,
269,
270,
271,
272,
273,
275,
276,
277,
278,
282,
286,
291,
293,
294,
296,
299,
300,
301,
303,
305,
311,
314,
315,
316,
317,
319,
320,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
348,
349,
350,
352,
354,
356,
358,
359,
360,
361,
362,
364,
367,
368,
370,
371,
373,
374,
375,
376,
380,
382,
383,
384,
385,
391,
392,
393,
394,
395,
396,
398,
399,
401,
402,
403,
405,
406,
408,
409,
410,
411,
412,
413,
414,
416,
417,
418,
419,
420,
421,
423,
424,
425,
426,
427,
428,
433,
436,
437,
438,
439,
440,
443,
444,
445,
446,
447,
448,
451,
452,
453,
454,
455,
458,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
473,
475,
476,
477,
478,
480,
481,
482,
484,
485,
487,
488,
489,
490,
492,
493,
494,
496,
497,
498,
500,
503,
504,
505,
507,
509,
510,
512,
514,
515,
516,
517,
519,
520,
522,
524,
526,
528,
529,
530,
531,
532,
533,
535,
536,
537,
538,
539,
541,
542,
543,
544,
545,
547,
548,
550,
551,
552,
554,
557,
558,
559,
560,
561,
562,
563,
564,
566,
573,
580,
581,
582,
584,
585,
586,
588,
589,
591,
594,
595,
596,
597,
598,
599,
601,
603,
605,
606,
608,
610,
611,
612,
613,
615,
617,
618,
620,
622,
624,
625,
626,
627,
629,
630,
632,
633,
634,
637,
641,
643,
645,
646,
647,
648,
649,
651,
654,
656,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
671,
673,
675,
677,
678,
679,
680,
681,
683,
684,
685,
686,
687,
688,
689,
690,
692,
693,
694,
695,
696,
697,
698,
699,
702,
703,
705,
707,
709,
712,
714,
715,
716,
718,
719,
721,
726,
727,
729,
730,
733,
734,
735,
736,
737,
739,
740,
741,
743,
746,
747,
748,
749,
750,
752,
753,
754,
756,
757,
758,
760,
762,
763,
765,
767,
768,
769,
770,
772,
773,
775,
776,
777,
778,
779,
780,
783,
785,
787,
788,
790,
793,
794,
795,
796,
797,
798,
799,
800,
802,
804,
805,
806,
807,
808,
810,
811,
812,
813,
814,
817,
818,
819,
820,
821,
824,
825,
826,
827,
829,
830,
831,
832,
835,
838,
839,
840,
841,
843,
844,
848,
849,
851,
853,
855,
857,
858,
859,
860,
861,
864,
865,
866,
867,
869,
870,
873,
874,
876,
877,
878,
879,
882,
886,
888,
890,
892,
893,
894,
895,
896,
897,
898,
899,
901,
902,
903,
905,
907,
909,
911,
912,
913,
915,
917,
918,
920,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
941,
942,
943,
944,
945,
949,
950,
951,
953,
954,
955,
956,
958,
959,
960,
961,
963,
965,
968,
969,
972,
974,
975,
976,
977,
979,
980,
981,
983,
985,
986,
991,
993,
996,
998,
1000,
1001,
1005,
1006,
1008,
1009,
1010,
1011,
1013,
1014,
1015,
1017,
1018,
1019,
1020,
1022,
1023,
1027,
1030,
1031,
1037,
1039,
1042,
1043,
1044,
1046,
1047,
1050,
1051,
1052,
1053,
1055,
1057,
1058,
1059,
1061,
1062,
1063,
1064,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1084,
1086,
1087,
1090,
1092,
1093,
1094,
1096,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1115,
1117,
1119,
1121,
1123,
1124,
1126,
1127,
1128,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
What are the full names of the non-google female entity legislators that have not been registered in Federal Election Commission data?
|
full names = first_name, last_name; non-google entity refers to google_entity_id_id is null; female refers to gender_bio = 'F'; have not been registered in Federal Election Commission data refers to fec_id is null;
|
SELECT first_name, last_name FROM historical WHERE gender_bio = 'F' AND google_entity_id_id IS NULL AND fec_id IS NULL
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,867 | 4,867 |
CREATE TABLE `historical`
(
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
last_name TEXT
)
|
[
"AND",
"SELECT",
"NULL",
"IS",
"FROM"
] | 8 |
simple
|
{
"case_1": [
-1
],
"case_2": [
1069
],
"case_3": [
42,
148,
272,
368,
436,
492,
522,
788,
1059,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
2,
4,
5,
8,
10,
12,
16,
19,
20,
21,
22,
24,
26,
30,
32,
33,
37,
38,
39,
40,
42,
43,
44,
45,
47,
50,
51,
52,
53,
56,
57,
63,
66,
67,
68,
69,
71,
73,
74,
75,
76,
79,
85,
88,
90,
92,
93,
95,
96,
98,
99,
100,
106,
109,
111,
112,
113,
115,
116,
117,
118,
119,
125,
126,
127,
128,
129,
131,
138,
141,
142,
143,
144,
146,
148,
150,
152,
154,
158,
160,
163,
164,
168,
169,
170,
171,
172,
175,
176,
177,
180,
183,
184,
187,
195,
197,
200,
214,
219,
223,
227,
230,
239,
240,
244,
255,
256,
258,
259,
262,
263,
265,
266,
267,
268,
270,
272,
275,
276,
277,
278,
282,
294,
296,
298,
299,
301,
303,
305,
314,
315,
317,
319,
325,
330,
339,
341,
350,
356,
361,
362,
367,
368,
370,
374,
375,
376,
382,
383,
385,
391,
393,
395,
398,
399,
402,
403,
405,
406,
408,
413,
414,
416,
417,
418,
419,
421,
423,
424,
425,
426,
427,
428,
433,
436,
437,
438,
439,
440,
443,
444,
446,
448,
451,
452,
455,
458,
463,
464,
469,
470,
475,
476,
477,
478,
479,
480,
482,
485,
490,
492,
493,
494,
496,
497,
498,
500,
507,
508,
510,
512,
514,
515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
533,
537,
539,
541,
544,
551,
554,
557,
558,
559,
561,
562,
563,
573,
581,
582,
584,
586,
588,
589,
591,
594,
595,
599,
601,
605,
608,
610,
612,
613,
615,
618,
620,
622,
624,
625,
626,
627,
632,
633,
637,
641,
643,
646,
648,
651,
656,
663,
666,
667,
668,
671,
672,
675,
677,
678,
679,
680,
683,
684,
685,
686,
687,
690,
692,
693,
697,
699,
702,
706,
707,
712,
714,
715,
716,
718,
719,
724,
726,
727,
730,
734,
735,
739,
740,
741,
743,
746,
747,
749,
753,
754,
756,
758,
760,
763,
765,
767,
768,
772,
773,
775,
776,
777,
780,
783,
785,
788,
793,
794,
797,
798,
799,
800,
804,
805,
806,
807,
808,
810,
814,
817,
819,
820,
824,
825,
829,
830,
831,
832,
835,
837,
838,
840,
843,
844,
848,
849,
851,
853,
855,
858,
859,
860,
861,
864,
867,
870,
873,
877,
878,
879,
880,
886,
888,
892,
894,
895,
896,
902,
903,
905,
907,
917,
920,
923,
924,
926,
927,
928,
930,
931,
932,
935,
941,
944,
945,
949,
953,
954,
956,
958,
961,
965,
969,
974,
978,
982,
985,
986,
991,
996,
998,
1000,
1001,
1008,
1009,
1014,
1017,
1018,
1019,
1020,
1022,
1023,
1027,
1031,
1036,
1039,
1042,
1044,
1046,
1048,
1058,
1059,
1061,
1062,
1063,
1064,
1066,
1067,
1068,
1069,
1071,
1072,
1073,
1079,
1080,
1081,
1084,
1086,
1092,
1100,
1101,
1103,
1104,
1105,
1109,
1115,
1117,
1119,
1121,
1123,
1126,
1128,
1129,
1131,
1133,
1134,
1136
]
}
|
legislator
|
In California, how many representatives ended their term in 1995?
|
California refers to state = 'CA'; representatives refers to type = 'rep'; ended the term in 1995 refers to end like '1995%';
|
SELECT COUNT(*) FROM `current-terms` WHERE state = 'CA' AND type = 'rep' AND end LIKE '1995%'
|
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,868 | 4,868 |
CREATE TABLE `current-terms`
(
state TEXT,
state_rank TEXT
)
|
[
"AND",
"SELECT",
"LIKE",
"-",
"COUNT",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
148,
272,
368,
436,
522,
788,
993,
1059
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
2,
3,
4,
20,
21,
22,
26,
30,
32,
37,
38,
39,
40,
43,
45,
47,
51,
53,
57,
63,
67,
68,
69,
73,
74,
75,
79,
82,
85,
88,
90,
93,
96,
98,
109,
112,
113,
115,
117,
118,
119,
125,
126,
127,
128,
131,
141,
142,
143,
146,
148,
152,
154,
158,
160,
164,
168,
169,
170,
172,
173,
175,
179,
180,
183,
184,
187,
189,
197,
199,
202,
212,
214,
227,
230,
240,
244,
247,
256,
258,
259,
267,
268,
272,
276,
277,
294,
296,
301,
314,
315,
317,
319,
325,
330,
339,
341,
348,
356,
362,
368,
370,
373,
374,
382,
383,
391,
392,
393,
394,
399,
402,
403,
406,
409,
416,
417,
421,
424,
425,
426,
433,
436,
438,
444,
445,
446,
448,
452,
464,
469,
476,
477,
490,
493,
496,
498,
500,
507,
509,
510,
512,
514,
515,
516,
519,
520,
522,
526,
529,
532,
537,
544,
554,
557,
558,
559,
562,
563,
580,
581,
582,
591,
594,
595,
598,
601,
608,
613,
618,
624,
627,
629,
632,
633,
641,
643,
649,
656,
663,
666,
667,
668,
671,
675,
677,
679,
680,
681,
684,
687,
692,
693,
707,
712,
714,
718,
719,
727,
730,
734,
735,
737,
739,
740,
743,
746,
747,
749,
753,
754,
756,
758,
760,
768,
770,
777,
785,
787,
788,
795,
796,
797,
798,
799,
800,
804,
814,
817,
819,
820,
824,
829,
830,
831,
832,
835,
838,
841,
843,
844,
849,
851,
853,
858,
864,
865,
867,
870,
877,
878,
879,
886,
888,
896,
902,
903,
905,
907,
909,
917,
918,
922,
923,
924,
930,
935,
943,
944,
945,
954,
956,
958,
961,
965,
969,
974,
979,
980,
985,
986,
993,
996,
1000,
1008,
1014,
1018,
1019,
1020,
1022,
1023,
1031,
1042,
1057,
1058,
1059,
1064,
1067,
1068,
1070,
1071,
1072,
1078,
1079,
1084,
1086,
1092,
1096,
1100,
1101,
1103,
1104,
1111,
1117,
1119,
1121,
1123,
1126,
1128,
1131
]
}
|
legislator
|
What is the full name of the oldest legislator?
|
full name = first_name, last_name; oldest legislator refers to MIN(birthday_bio);
|
SELECT first_name, last_name FROM historical ORDER BY birthday_bio LIMIT 1
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,869 | 4,869 |
CREATE TABLE `historical`
(
birthday_bio TEXT,
first_name TEXT,
last_name TEXT
)
|
[
"ORDER BY",
"LIMIT",
"SELECT",
"FROM"
] | 4 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
1,
10,
11,
13,
15,
17,
20,
28,
29,
36,
38,
43,
49,
55,
59,
62,
69,
73,
75,
78,
86,
89,
108,
110,
121,
125,
133,
138,
150,
159,
162,
163,
167,
173,
174,
179,
181,
185,
187,
188,
199,
200,
202,
206,
208,
213,
229,
233,
239,
247,
252,
262,
263,
275,
278,
281,
285,
286,
291,
309,
311,
313,
314,
319,
320,
324,
328,
329,
334,
336,
337,
341,
342,
345,
348,
349,
352,
353,
356,
359,
364,
365,
371,
373,
378,
379,
381,
385,
394,
395,
400,
403,
404,
409,
411,
428,
429,
434,
435,
444,
445,
451,
454,
460,
462,
469,
482,
495,
497,
505,
530,
532,
534,
536,
538,
542,
548,
552,
555,
560,
566,
567,
576,
578,
579,
583,
584,
586,
590,
592,
595,
611,
619,
621,
625,
626,
634,
637,
638,
645,
654,
657,
659,
664,
665,
669,
681,
688,
690,
691,
698,
701,
703,
708,
713,
719,
732,
733,
735,
748,
752,
759,
760,
768,
778,
790,
803,
810,
815,
818,
823,
827,
830,
836,
850,
851,
861,
866,
869,
876,
886,
889,
891,
893,
901,
911,
918,
927,
929,
934,
946,
950,
951,
953,
954,
956,
962,
963,
966,
967,
970,
972,
973,
975,
977,
981,
983,
987,
989,
994,
1004,
1005,
1006,
1010,
1013,
1017,
1024,
1025,
1030,
1034,
1037,
1038,
1047,
1049,
1050,
1051,
1056,
1057,
1065,
1067,
1068,
1075,
1076,
1077,
1083,
1094,
1124,
1137,
1139,
1141
]
}
|
legislator
|
List all of the ids of the representatives belonging to the Democrat party in district 13 that ended their term on 1/3/2019?
|
ids refers to bioguide; representatives refers to type = 'rep'; ended the term on 1/3/2019 refers to end = '2019-01-03';
|
SELECT bioguide FROM `current-terms` WHERE type = 'rep' AND party = 'Democrat' AND end = '2019-01-03' AND district = 13
|
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,870 | 4,870 |
CREATE TABLE `current-terms`
(
bioguide TEXT,
district REAL,
party TEXT,
party_affiliations TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"-",
"AND",
"SELECT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
42,
148,
272,
368,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1059,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
2,
3,
4,
5,
8,
10,
12,
19,
20,
21,
22,
24,
26,
30,
32,
33,
34,
37,
38,
39,
40,
42,
43,
44,
45,
47,
50,
51,
52,
53,
56,
57,
63,
66,
67,
68,
69,
71,
73,
74,
75,
76,
79,
85,
88,
90,
93,
95,
96,
97,
98,
99,
100,
105,
109,
111,
112,
113,
115,
116,
117,
118,
119,
125,
127,
128,
129,
131,
135,
138,
141,
142,
143,
144,
146,
148,
152,
154,
158,
160,
163,
164,
168,
169,
170,
172,
173,
175,
176,
177,
180,
183,
184,
187,
189,
197,
199,
200,
214,
219,
223,
227,
228,
230,
239,
240,
244,
253,
255,
256,
258,
259,
262,
265,
266,
267,
268,
270,
272,
275,
276,
277,
278,
282,
294,
296,
300,
301,
305,
314,
315,
317,
319,
325,
330,
339,
341,
350,
356,
361,
362,
367,
368,
370,
374,
376,
382,
383,
385,
391,
392,
393,
394,
395,
396,
398,
399,
402,
403,
405,
406,
408,
409,
413,
414,
416,
417,
418,
419,
421,
424,
425,
426,
427,
428,
433,
436,
437,
438,
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448,
451,
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463,
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470,
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476,
477,
480,
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489,
490,
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497,
498,
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509,
510,
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539,
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551,
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559,
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562,
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580,
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588,
589,
591,
594,
595,
599,
601,
605,
608,
610,
612,
613,
615,
617,
618,
622,
624,
625,
626,
627,
632,
633,
637,
641,
643,
647,
648,
649,
651,
656,
660,
663,
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667,
668,
671,
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690,
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1121,
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1128,
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1132,
1136
]
}
|
legislator
|
What is the official Twitter handle of Jason Lewis?
|
official Twitter handle refers to twitter;
|
SELECT T2.twitter FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Jason Lewis'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,871 | 4,871 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
twitter TEXT,
twitter_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
489,
1074
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],
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489,
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522,
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1098,
1099,
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1101,
1103,
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1111,
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1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Among the Independent senators that started their term in 2011 and onwards, what are the official full names of the senators that caucused with the Democrat?
|
Independent refers to party = 'Independent'; senators refers to type = 'sen'; started the term in 2011 and onwards refers to strftime('%Y', start) > = '2011'; caucused with the Democrat refers to caucus = 'Democrat';
|
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Independent' AND strftime('%Y', T2.start) >= '2011' AND T2.type = 'sen' AND T2.caucus = 'Democrat'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,872 | 4,872 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
caucus TEXT,
name TEXT,
party TEXT,
party_affiliations TEXT,
start TEXT,
type TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"strftime",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 11 |
medium
|
{
"case_1": [
42
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
How many Jewish legislators do not have facebook?
|
Jewish legislators refers to religion_bio = 'Jewish'; do not have facebook refers to facebook is null;
|
SELECT COUNT(T3.bioguide_id) FROM ( SELECT T1.bioguide_id FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.facebook IS NULL GROUP BY T1.bioguide_id ) T3
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,873 | 4,873 |
CREATE TABLE `current`
(
bioguide_id TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"SELECT",
"-",
"NULL",
"INNER JOIN",
"ON",
"COUNT",
"IS",
"FROM"
] | 13 |
medium
|
{
"case_1": [
148,
436
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
3,
4,
6,
11,
16,
20,
21,
22,
27,
30,
34,
36,
37,
39,
42,
45,
47,
51,
53,
55,
62,
63,
68,
69,
73,
74,
75,
77,
82,
85,
86,
88,
91,
93,
96,
97,
98,
105,
106,
112,
113,
115,
117,
118,
119,
121,
125,
126,
128,
131,
135,
138,
140,
141,
142,
143,
146,
148,
150,
152,
154,
158,
159,
160,
164,
167,
169,
170,
171,
172,
175,
179,
180,
183,
184,
187,
188,
189,
190,
191,
195,
196,
197,
199,
200,
202,
206,
212,
213,
214,
225,
226,
227,
228,
229,
233,
234,
240,
243,
244,
247,
254,
256,
258,
261,
267,
268,
269,
272,
276,
277,
296,
298,
299,
300,
301,
303,
311,
313,
314,
316,
317,
319,
320,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
349,
354,
356,
358,
360,
364,
365,
368,
370,
373,
374,
375,
378,
379,
381,
382,
383,
384,
391,
392,
393,
394,
395,
398,
401,
402,
403,
406,
409,
411,
412,
416,
417,
424,
425,
426,
436,
443,
444,
445,
446,
448,
454,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
479,
484,
487,
488,
489,
490,
493,
496,
498,
500,
503,
505,
507,
509,
514,
515,
516,
519,
520,
522,
526,
528,
529,
532,
533,
535,
536,
537,
538,
544,
547,
548,
550,
552,
558,
559,
560,
562,
563,
564,
566,
573,
579,
580,
581,
582,
586,
589,
595,
596,
597,
601,
606,
608,
611,
613,
620,
624,
627,
630,
632,
633,
634,
637,
638,
641,
643,
645,
646,
647,
649,
651,
654,
658,
659,
660,
662,
663,
665,
668,
669,
671,
672,
675,
677,
681,
684,
687,
688,
690,
693,
694,
695,
696,
701,
705,
706,
712,
714,
720,
721,
724,
727,
733,
734,
735,
736,
739,
740,
743,
746,
749,
750,
751,
752,
753,
754,
756,
758,
760,
762,
768,
769,
772,
777,
778,
779,
787,
788,
790,
796,
797,
799,
800,
802,
804,
805,
810,
812,
813,
814,
818,
819,
823,
824,
827,
829,
830,
835,
837,
838,
839,
841,
844,
849,
851,
853,
857,
858,
866,
867,
870,
874,
876,
877,
878,
880,
882,
886,
888,
889,
893,
894,
896,
897,
898,
901,
902,
905,
909,
911,
912,
915,
917,
918,
922,
923,
924,
925,
926,
927,
930,
932,
934,
935,
941,
943,
950,
951,
954,
956,
958,
959,
961,
962,
963,
969,
973,
974,
975,
977,
980,
981,
985,
986,
993,
996,
1005,
1006,
1010,
1013,
1015,
1022,
1023,
1025,
1031,
1037,
1042,
1043,
1047,
1050,
1051,
1052,
1058,
1062,
1064,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1082,
1084,
1086,
1087,
1091,
1092,
1094,
1100,
1101,
1103,
1104,
1106,
1111,
1112,
1119,
1123,
1124,
1128,
1131,
1132,
1133,
1134,
1135,
1137
]
}
|
legislator
|
Which party has the highest number of legislators who are Baptist?
|
party that has the highest number of legislators refers to MAX(COUNT(party)); Baptist refers to religion_bio = 'Baptist';
|
SELECT T2.party FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.religion_bio = 'Baptist' GROUP BY T2.party ORDER BY COUNT(T2.party) DESC LIMIT 1
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,874 | 4,874 |
CREATE TABLE `current`
(
bioguide_id TEXT,
religion_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
party TEXT,
party_affiliations TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"-",
"INNER JOIN",
"ON",
"DESC",
"COUNT",
"FROM"
] | 12 |
medium
|
{
"case_1": [
42
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
3,
4,
6,
10,
11,
13,
15,
16,
20,
21,
22,
27,
28,
29,
30,
34,
36,
37,
39,
42,
45,
47,
49,
51,
53,
55,
59,
62,
63,
68,
69,
73,
74,
75,
77,
78,
82,
85,
86,
88,
89,
91,
93,
96,
97,
98,
105,
106,
108,
112,
113,
115,
117,
118,
119,
121,
125,
126,
128,
131,
135,
138,
140,
141,
142,
143,
146,
148,
150,
152,
154,
158,
159,
160,
162,
163,
164,
167,
169,
170,
172,
173,
175,
179,
180,
183,
184,
185,
187,
188,
189,
190,
191,
196,
197,
199,
200,
202,
206,
212,
213,
214,
225,
226,
227,
228,
229,
233,
234,
239,
240,
243,
244,
247,
252,
254,
256,
261,
262,
267,
268,
269,
272,
275,
276,
277,
278,
281,
285,
286,
291,
296,
299,
300,
301,
309,
311,
313,
314,
316,
317,
319,
320,
323,
324,
325,
329,
330,
334,
335,
336,
338,
339,
341,
342,
344,
345,
348,
349,
352,
353,
354,
356,
358,
359,
360,
364,
365,
368,
370,
371,
373,
374,
375,
378,
379,
381,
382,
383,
384,
385,
391,
392,
393,
394,
395,
401,
403,
406,
409,
411,
412,
416,
417,
424,
425,
426,
428,
429,
434,
435,
436,
444,
445,
446,
448,
451,
454,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
482,
484,
487,
488,
489,
490,
493,
495,
496,
497,
498,
500,
503,
505,
507,
509,
514,
515,
516,
519,
520,
522,
526,
529,
530,
532,
535,
536,
537,
538,
542,
544,
547,
548,
550,
552,
558,
559,
560,
562,
563,
564,
566,
567,
573,
578,
579,
580,
581,
582,
584,
586,
590,
592,
595,
596,
597,
606,
608,
611,
613,
620,
621,
624,
625,
626,
627,
630,
632,
633,
634,
637,
638,
641,
643,
645,
646,
647,
649,
651,
654,
657,
658,
659,
660,
662,
663,
664,
665,
668,
669,
671,
675,
677,
681,
684,
687,
688,
690,
691,
693,
694,
695,
696,
698,
701,
703,
705,
712,
714,
719,
720,
721,
727,
733,
734,
735,
736,
739,
740,
743,
746,
748,
749,
750,
751,
752,
753,
754,
756,
758,
759,
760,
762,
768,
769,
772,
777,
778,
779,
787,
788,
790,
796,
797,
799,
800,
802,
803,
804,
805,
810,
812,
813,
814,
818,
819,
823,
824,
827,
829,
830,
835,
838,
839,
841,
849,
850,
851,
853,
857,
858,
861,
866,
867,
869,
870,
874,
876,
877,
878,
882,
886,
888,
889,
891,
893,
896,
897,
898,
901,
902,
905,
909,
911,
912,
915,
917,
918,
922,
923,
924,
925,
926,
927,
929,
930,
932,
934,
935,
943,
950,
951,
953,
954,
956,
958,
959,
961,
962,
963,
966,
967,
969,
970,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
993,
994,
996,
1004,
1005,
1006,
1010,
1013,
1015,
1017,
1022,
1023,
1025,
1030,
1031,
1034,
1037,
1038,
1042,
1043,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1062,
1064,
1065,
1067,
1068,
1070,
1071,
1072,
1074,
1076,
1077,
1078,
1082,
1084,
1086,
1087,
1091,
1092,
1094,
1100,
1101,
1103,
1104,
1106,
1111,
1112,
1119,
1123,
1124,
1128,
1131,
1132,
1133,
1134,
1135,
1137
]
}
|
legislator
|
List the official full names of all the legislators who have facebook, instagram, twitter and youtube accounts.
|
have facebook, instagram, twitter and youtube accounts refers to 'facebook' is not null AND 'instagram' is not null AND 'twitter' is not null AND 'youtube' is not null;
|
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.facebook IS NOT NULL AND T2.instagram IS NOT NULL AND T2.twitter IS NOT NULL AND T2.youtube IS NOT NULL
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,875 | 4,875 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
instagram TEXT,
instagram_id REAL,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"NULL",
"INNER JOIN",
"ON",
"NOT",
"IS",
"FROM"
] | 22 |
challenging
|
{
"case_1": [
522
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
3,
4,
5,
7,
8,
12,
16,
19,
20,
21,
22,
24,
26,
30,
33,
34,
37,
39,
42,
44,
45,
47,
51,
52,
53,
57,
63,
66,
67,
68,
69,
71,
73,
74,
75,
76,
85,
88,
90,
92,
93,
95,
96,
97,
98,
99,
105,
106,
111,
112,
113,
115,
116,
117,
118,
119,
125,
126,
127,
128,
129,
131,
135,
138,
141,
142,
143,
144,
146,
148,
150,
152,
154,
158,
160,
163,
164,
169,
170,
171,
172,
175,
176,
177,
180,
183,
184,
187,
189,
195,
197,
199,
200,
214,
219,
227,
228,
239,
240,
244,
256,
258,
262,
263,
265,
266,
267,
268,
272,
275,
276,
277,
278,
282,
296,
298,
299,
300,
301,
303,
305,
314,
315,
317,
319,
325,
330,
339,
341,
356,
361,
368,
370,
374,
375,
376,
382,
383,
385,
391,
392,
393,
394,
395,
398,
402,
403,
405,
406,
408,
409,
413,
414,
416,
417,
419,
424,
425,
426,
427,
428,
433,
436,
437,
438,
440,
443,
444,
445,
446,
448,
451,
452,
455,
463,
464,
469,
470,
475,
476,
477,
478,
479,
480,
482,
489,
490,
493,
494,
496,
497,
498,
500,
503,
507,
508,
509,
514,
515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
533,
537,
539,
541,
544,
550,
557,
558,
559,
561,
562,
563,
573,
580,
581,
582,
584,
586,
588,
589,
595,
601,
605,
608,
610,
612,
613,
615,
620,
624,
625,
626,
627,
632,
633,
637,
641,
643,
646,
647,
648,
649,
651,
660,
663,
666,
668,
671,
672,
675,
677,
678,
681,
683,
684,
685,
686,
687,
690,
693,
695,
697,
699,
702,
706,
712,
714,
715,
724,
726,
727,
734,
735,
739,
740,
741,
743,
746,
747,
749,
753,
754,
756,
758,
760,
763,
765,
767,
768,
772,
773,
775,
776,
777,
780,
783,
788,
793,
797,
799,
800,
804,
805,
806,
807,
808,
810,
814,
819,
824,
825,
829,
830,
832,
835,
837,
838,
844,
848,
849,
851,
853,
858,
859,
860,
861,
867,
870,
873,
877,
878,
879,
880,
882,
886,
888,
892,
894,
895,
896,
902,
905,
907,
917,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
935,
941,
943,
944,
949,
953,
954,
956,
958,
959,
961,
969,
974,
978,
980,
982,
985,
986,
991,
993,
996,
1000,
1001,
1014,
1017,
1019,
1020,
1022,
1023,
1027,
1031,
1036,
1039,
1042,
1044,
1046,
1048,
1052,
1058,
1059,
1061,
1062,
1063,
1064,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1084,
1086,
1092,
1100,
1101,
1103,
1104,
1105,
1109,
1111,
1115,
1119,
1123,
1128,
1129,
1131,
1132,
1133,
1134,
1136
]
}
|
legislator
|
How many districts did John Conyers, Jr. serve in total?
|
SELECT COUNT(T3.district) FROM ( SELECT T2.district FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'John Conyers, Jr.' GROUP BY T2.district ) T3
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,876 | 4,876 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
district REAL,
name TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 11 |
medium
|
{
"case_1": [
42
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
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18,
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250,
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318,
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338,
339,
340,
341,
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343,
344,
345,
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347,
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353,
354,
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360,
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365,
368,
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375,
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381,
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385,
386,
387,
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390,
391,
392,
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401,
402,
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610,
611,
612,
613,
614,
615,
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620,
621,
623,
624,
625,
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627,
628,
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663,
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666,
668,
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670,
671,
672,
674,
675,
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677,
678,
681,
682,
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684,
685,
686,
687,
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690,
691,
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696,
697,
699,
700,
701,
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704,
705,
706,
710,
711,
712,
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720,
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722,
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725,
726,
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728,
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735,
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740,
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745,
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790,
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825,
827,
828,
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830,
832,
833,
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838,
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930,
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937,
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993,
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996,
997,
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1000,
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1012,
1013,
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1016,
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1019,
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1023,
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1027,
1029,
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1033,
1034,
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1038,
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1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
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1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
legislator
|
What are the Wikipedia page names of all the anti-administration senators?
|
Wikipedia page names refers to wikipedia_id; anti-administration refers to party = 'Anti-Administration'; senators refers to type = 'sen';
|
SELECT T1.wikipedia_id FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.type = 'sen' AND T2.party = 'Anti-Administration'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,877 | 4,877 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
wikipedia_id TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
party TEXT,
party_affiliations TEXT,
type TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
272
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
36,
37,
39,
41,
42,
43,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
79,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
362,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
679,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
785,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
864,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
List the official full names of all the legislators that served 13 district for 26 consecutive years.
|
served only one district for 26 consecutive years refers to SUBTRACT(SUM(cast(strftime('%Y', end)), CAST(strftime('%Y', start)))) = 26
|
SELECT DISTINCT CASE WHEN SUM(CAST(strftime('%Y', T2.end) AS int) - CAST(strftime('%Y', T2.start) AS int)) = 26 THEN T1.official_full_name END FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide GROUP BY T1.official_full_name, T2.district HAVING COUNT(T1.official_full_name) = 13
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,878 | 4,878 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
district REAL,
end TEXT,
name TEXT,
start TEXT,
primary key bioguide, end,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"CASE WHEN",
"AS",
"SELECT",
"HAVING",
"SUM",
"strftime",
"CASE",
"-",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 19 |
challenging
|
{
"case_1": [
993
],
"case_2": [
42,
993
],
"case_3": [
42,
148,
788,
993,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
6,
16,
22,
24,
42,
61,
64,
71,
77,
81,
93,
106,
113,
115,
120,
126,
127,
129,
140,
148,
152,
153,
155,
169,
173,
184,
187,
189,
191,
192,
195,
199,
201,
207,
212,
214,
219,
225,
226,
234,
236,
248,
254,
261,
264,
267,
271,
279,
299,
300,
304,
316,
317,
322,
323,
335,
344,
347,
356,
360,
375,
383,
393,
394,
402,
406,
409,
412,
415,
427,
438,
445,
448,
452,
453,
473,
476,
478,
486,
487,
500,
504,
514,
517,
518,
535,
537,
540,
547,
550,
560,
563,
564,
571,
573,
575,
580,
581,
597,
620,
623,
628,
630,
640,
646,
658,
662,
666,
676,
681,
682,
686,
690,
696,
710,
721,
723,
740,
744,
747,
750,
753,
762,
772,
776,
787,
788,
795,
796,
798,
800,
802,
808,
810,
813,
827,
841,
848,
868,
870,
871,
874,
896,
909,
912,
922,
924,
926,
943,
944,
954,
958,
959,
985,
993,
1008,
1012,
1023,
1031,
1043,
1062,
1064,
1069,
1078,
1082,
1087,
1092,
1098,
1106,
1131,
1133,
1134,
1135
]
}
|
legislator
|
How many Federalist representatives are there whose first names are Benjamin?
|
Federalist refers to party = 'Federalist'; representatives refers to type = 'rep';
|
SELECT COUNT(T.bioguide_id) FROM ( SELECT T1.bioguide_id FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name = 'Benjamin' AND T2.party = 'Federalist' AND T2.type = 'rep' GROUP BY T1.bioguide_id ) AS T
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,879 | 4,879 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
first_name TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
name TEXT,
party TEXT,
party_affiliations TEXT,
type TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"GROUP BY",
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 14 |
medium
|
{
"case_1": [
368
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
How many female representatives served in the state of California for at least 10 years?
|
female refers to gender_bio = 'F'; representatives refers to type = 'rep'; served for at least 10 years refers to SUBTRACT(SUM(CAST(strftime('%Y', end)), CAST(strftime('%Y', start)))) > 10;
|
SELECT SUM(T3.result) FROM ( SELECT CASE WHEN SUM(CAST(strftime('%Y', T2.`end`) AS int) - CAST(strftime('%Y', T2.start) AS int)) > 10 THEN 1 ELSE 0 END AS result FROM current AS T1 INNER JOIN "current-terms" AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'F' AND T2.state = 'CA' AND T2.type = 'rep' ) AS T3
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,880 | 4,880 |
CREATE TABLE `current`
(
bioguide_id TEXT,
gender_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
end TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
type TEXT,
primary key bioguide, end,
foreign key bioguide references currentbioguide_id
)
|
[
"CASE WHEN",
"AS",
"AND",
"SELECT",
"SUM",
"strftime",
"CASE",
"-",
"INNER JOIN",
"ON",
"CAST",
"FROM"
] | 23 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
42
],
"case_3": [
42,
148,
272,
368,
436,
522,
788,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
6,
16,
21,
24,
39,
42,
45,
61,
64,
71,
74,
77,
81,
85,
93,
98,
106,
112,
113,
115,
119,
120,
127,
128,
129,
141,
148,
152,
153,
154,
155,
158,
169,
172,
180,
183,
184,
187,
189,
191,
192,
195,
197,
201,
207,
212,
215,
219,
223,
225,
226,
228,
234,
236,
240,
244,
248,
254,
258,
261,
264,
267,
271,
272,
278,
279,
296,
299,
300,
304,
316,
317,
322,
323,
325,
335,
339,
347,
356,
360,
368,
375,
382,
383,
391,
393,
398,
402,
406,
409,
412,
414,
415,
416,
425,
427,
433,
436,
438,
446,
448,
451,
452,
453,
470,
476,
478,
483,
486,
487,
496,
498,
500,
504,
507,
510,
514,
517,
518,
520,
522,
528,
529,
535,
537,
540,
544,
547,
550,
559,
562,
563,
564,
571,
573,
575,
580,
581,
597,
612,
620,
623,
624,
628,
640,
643,
646,
658,
662,
666,
675,
676,
677,
681,
682,
683,
684,
686,
690,
693,
695,
710,
723,
740,
744,
746,
747,
750,
753,
754,
756,
758,
762,
767,
772,
776,
777,
787,
788,
795,
796,
798,
800,
802,
805,
808,
810,
813,
825,
827,
829,
832,
835,
838,
841,
844,
848,
858,
868,
870,
871,
874,
878,
896,
905,
909,
912,
922,
923,
924,
926,
930,
943,
944,
954,
958,
959,
974,
985,
998,
1008,
1012,
1023,
1027,
1031,
1062,
1064,
1068,
1069,
1072,
1078,
1082,
1086,
1087,
1092,
1098,
1100,
1101,
1123,
1128,
1131,
1133,
1134,
1135
]
}
|
legislator
|
What is the party of the oldest legislator?
|
oldest legislator refers to MIN(birthday_bio);
|
SELECT T1.party FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide ORDER BY T2.birthday_bio LIMIT 1
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,881 | 4,881 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
birthday_bio TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
party TEXT,
party_affiliations TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
272
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Who is the Lutheran representative that served in the state of Ohio for 14 years before becoming a senator?
|
Lutheran refers to religion_bio = 'Lutheran'; representative refers to type = 'rep'; served for 14 years refers to SUBTRACT(SUM(CAST(strftime('%Y', end)), CAST(strftime('%Y', start)))) = 14;
|
SELECT CASE WHEN SUM(CAST(strftime('%Y', T2.end) AS int) - CAST(strftime('%Y', T2.start) AS int)) = 14 THEN official_full_name END FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.religion_bio = 'Lutheran' AND T2.state = 'OH' AND T2.type = 'rep'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,882 | 4,882 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
religion_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
end TEXT,
name TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
type TEXT,
primary key bioguide, end,
foreign key bioguide references currentbioguide_id
)
|
[
"CASE WHEN",
"AS",
"AND",
"SELECT",
"SUM",
"strftime",
"CASE",
"-",
"INNER JOIN",
"ON",
"CAST",
"FROM"
] | 18 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
42
],
"case_3": [
42,
148,
272,
368,
436,
522,
788,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
6,
16,
21,
24,
39,
42,
45,
61,
64,
71,
74,
77,
81,
85,
93,
98,
106,
112,
113,
115,
119,
120,
127,
128,
129,
141,
148,
152,
153,
154,
155,
158,
169,
172,
180,
183,
184,
187,
189,
191,
192,
195,
197,
201,
207,
212,
215,
219,
223,
225,
226,
228,
234,
236,
240,
244,
248,
254,
258,
261,
264,
267,
271,
272,
278,
279,
296,
299,
300,
304,
316,
317,
322,
323,
325,
335,
339,
347,
356,
360,
368,
375,
382,
383,
391,
393,
398,
402,
406,
409,
412,
414,
415,
416,
425,
427,
433,
436,
438,
446,
448,
451,
452,
453,
470,
476,
478,
483,
486,
487,
496,
498,
500,
504,
507,
510,
514,
517,
518,
520,
522,
528,
529,
535,
537,
540,
544,
547,
550,
559,
562,
563,
564,
571,
573,
575,
580,
581,
597,
612,
620,
623,
624,
628,
640,
643,
646,
658,
662,
666,
675,
676,
677,
681,
682,
683,
684,
686,
690,
693,
695,
710,
723,
740,
744,
746,
747,
750,
753,
754,
756,
758,
762,
767,
772,
776,
777,
787,
788,
795,
796,
798,
800,
802,
805,
808,
810,
813,
825,
827,
829,
832,
835,
838,
841,
844,
848,
858,
868,
870,
871,
874,
878,
896,
905,
909,
912,
922,
923,
924,
926,
930,
943,
944,
954,
958,
959,
974,
985,
998,
1008,
1012,
1023,
1027,
1031,
1062,
1064,
1068,
1069,
1072,
1078,
1082,
1086,
1087,
1092,
1098,
1100,
1101,
1123,
1128,
1131,
1133,
1134,
1135
]
}
|
legislator
|
Among all the current legislators born after the year 1960, how many of them are not google entities?
|
born after the year 1960 refers to strftime('%Y', birthday_bio) > '1960'; not google entities refers to google_entity_id_id is null;
|
SELECT COUNT(*) FROM current WHERE strftime('%Y', birthday_bio) > '1960' AND google_entity_id_id IS NULL
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,883 | 4,883 |
CREATE TABLE `current`
(
birthday_bio DATE,
google_entity_id_id TEXT
)
|
[
"AND",
"SELECT",
"strftime",
"NULL",
"COUNT",
"IS",
"FROM"
] | 7 |
simple
|
{
"case_1": [
1059
],
"case_2": [
1059
],
"case_3": [
42,
148,
436,
522,
788,
1059,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
2,
4,
16,
22,
30,
32,
37,
40,
42,
47,
51,
53,
63,
67,
68,
69,
73,
74,
75,
85,
88,
92,
93,
96,
98,
106,
109,
113,
115,
117,
118,
119,
125,
126,
131,
138,
142,
143,
146,
148,
150,
152,
158,
160,
164,
169,
170,
171,
175,
183,
184,
187,
195,
197,
200,
214,
227,
230,
244,
256,
258,
259,
263,
267,
268,
276,
277,
294,
296,
298,
299,
301,
303,
305,
314,
317,
319,
325,
330,
339,
341,
370,
374,
375,
382,
383,
391,
393,
395,
398,
399,
402,
403,
406,
414,
416,
417,
421,
423,
424,
426,
433,
436,
443,
444,
448,
458,
464,
469,
476,
477,
478,
479,
485,
490,
493,
500,
508,
510,
512,
514,
515,
516,
519,
520,
522,
526,
528,
533,
537,
544,
554,
558,
559,
563,
573,
581,
582,
589,
591,
594,
595,
601,
608,
612,
613,
618,
620,
627,
632,
633,
637,
641,
646,
656,
663,
667,
668,
671,
672,
680,
681,
683,
687,
692,
706,
707,
712,
714,
718,
719,
724,
727,
730,
734,
735,
739,
740,
743,
749,
753,
756,
760,
767,
768,
772,
788,
797,
798,
799,
800,
804,
805,
814,
817,
819,
820,
824,
830,
831,
837,
838,
843,
844,
849,
851,
853,
867,
870,
877,
880,
886,
888,
894,
896,
902,
903,
917,
923,
924,
926,
927,
930,
935,
941,
945,
954,
956,
958,
961,
965,
969,
978,
982,
985,
986,
996,
1008,
1014,
1020,
1022,
1023,
1030,
1031,
1036,
1042,
1048,
1058,
1059,
1062,
1064,
1066,
1067,
1069,
1071,
1072,
1079,
1084,
1086,
1100,
1101,
1103,
1104,
1119,
1121,
1123,
1126,
1128,
1129,
1131,
1133,
1134
]
}
|
legislator
|
Please list the official full names of all the current legislators who have served in the U.S. House.
|
have served in the U.S. House refers to house_history_id is not null;
|
SELECT official_full_name FROM current WHERE house_history_id IS NOT NULL
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,884 | 4,884 |
CREATE TABLE `current`
(
house_history_id REAL,
official_full_name TEXT
)
|
[
"SELECT",
"NULL",
"NOT",
"IS",
"FROM"
] | 5 |
simple
|
{
"case_1": [
1059
],
"case_2": [
1059
],
"case_3": [
42,
148,
436,
522,
1059,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
7,
16,
42,
53,
67,
92,
106,
126,
138,
148,
150,
152,
158,
171,
195,
200,
258,
263,
267,
294,
298,
299,
303,
305,
375,
393,
395,
398,
402,
406,
423,
436,
443,
458,
476,
478,
479,
485,
493,
508,
514,
516,
522,
528,
533,
573,
589,
601,
620,
629,
637,
646,
672,
706,
712,
724,
772,
805,
837,
844,
880,
894,
926,
927,
935,
941,
965,
978,
982,
985,
1014,
1020,
1036,
1048,
1059,
1062,
1066,
1069,
1129,
1131,
1133,
1134
]
}
|
legislator
|
How many current legislators have both accounts on both VoteView.com and maplight.org?
|
have both accounts on both VoteView.com and maplight.org refers to icpsr_id is not null AND maplight_id is not null;
|
SELECT COUNT(*) FROM current WHERE icpsr_id IS NOT NULL AND maplight_id IS NOT NULL
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,885 | 4,885 |
CREATE TABLE `current`
(
icpsr_id REAL,
maplight_id REAL
)
|
[
"AND",
"SELECT",
"NULL",
"NOT",
"COUNT",
"IS",
"FROM"
] | 10 |
simple
|
{
"case_1": [
1059
],
"case_2": [
1059
],
"case_3": [
42,
148,
436,
522,
1059,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
2,
4,
16,
22,
30,
32,
37,
40,
42,
47,
51,
53,
63,
67,
68,
69,
73,
74,
75,
88,
92,
93,
96,
98,
106,
109,
113,
115,
117,
118,
119,
125,
126,
131,
138,
142,
143,
146,
148,
150,
152,
158,
160,
164,
169,
170,
171,
175,
183,
184,
187,
195,
197,
200,
214,
227,
230,
244,
256,
258,
259,
263,
267,
268,
276,
277,
294,
298,
299,
301,
303,
305,
314,
317,
319,
325,
330,
339,
341,
370,
374,
375,
382,
383,
391,
393,
395,
398,
399,
402,
403,
406,
416,
417,
421,
423,
424,
426,
436,
443,
444,
448,
458,
464,
469,
476,
477,
478,
479,
485,
490,
493,
500,
508,
510,
512,
514,
515,
516,
519,
520,
522,
526,
528,
533,
537,
544,
554,
558,
559,
563,
573,
581,
582,
589,
591,
594,
595,
601,
608,
613,
618,
620,
627,
629,
632,
633,
637,
641,
646,
656,
663,
667,
668,
671,
672,
680,
687,
692,
706,
707,
712,
714,
718,
719,
724,
727,
730,
734,
735,
739,
740,
743,
749,
753,
756,
760,
768,
772,
797,
798,
799,
800,
804,
805,
814,
817,
819,
820,
824,
830,
831,
837,
838,
843,
844,
849,
851,
853,
867,
870,
877,
880,
886,
888,
894,
896,
902,
903,
917,
923,
924,
926,
927,
930,
935,
941,
945,
954,
956,
958,
961,
965,
969,
978,
982,
985,
986,
996,
1008,
1014,
1020,
1022,
1023,
1036,
1042,
1048,
1058,
1059,
1062,
1064,
1066,
1067,
1069,
1071,
1072,
1079,
1084,
1086,
1100,
1101,
1103,
1104,
1119,
1121,
1123,
1126,
1128,
1129,
1131,
1133,
1134
]
}
|
legislator
|
Among all the current female legislators, how many of them have attended in Senate roll call votes?
|
female refers to gender_bio = 'F'; have attended in Senate roll call votes refers to lis_id is not null;
|
SELECT COUNT(lis_id) FROM current WHERE gender_bio = 'F' AND lis_id IS NOT NULL
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,886 | 4,886 |
CREATE TABLE `current`
(
gender_bio TEXT,
lis_id TEXT
)
|
[
"AND",
"SELECT",
"NULL",
"NOT",
"COUNT",
"IS",
"FROM"
] | 7 |
simple
|
{
"case_1": [
1059
],
"case_2": [
1059
],
"case_3": [
42,
148,
436,
522,
1059,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
2,
4,
16,
22,
30,
32,
37,
40,
42,
47,
51,
53,
63,
67,
68,
69,
73,
74,
75,
88,
92,
93,
96,
98,
106,
109,
113,
115,
117,
118,
119,
125,
126,
131,
138,
142,
143,
146,
148,
150,
152,
158,
160,
164,
169,
170,
171,
175,
183,
184,
187,
195,
197,
200,
214,
227,
230,
244,
256,
258,
259,
263,
267,
268,
276,
277,
294,
298,
299,
301,
303,
305,
314,
317,
319,
325,
330,
339,
341,
370,
374,
375,
382,
383,
391,
393,
395,
398,
399,
402,
403,
406,
416,
417,
421,
423,
424,
426,
436,
443,
444,
448,
458,
464,
469,
476,
477,
478,
479,
485,
490,
493,
500,
508,
510,
512,
514,
515,
516,
519,
520,
522,
526,
528,
533,
537,
544,
554,
558,
559,
563,
573,
581,
582,
589,
591,
594,
595,
601,
608,
613,
618,
620,
627,
629,
632,
633,
637,
641,
646,
656,
663,
667,
668,
671,
672,
680,
687,
692,
706,
707,
712,
714,
718,
719,
724,
727,
730,
734,
735,
739,
740,
743,
749,
753,
756,
760,
768,
772,
797,
798,
799,
800,
804,
805,
814,
817,
819,
820,
824,
830,
831,
837,
838,
843,
844,
849,
851,
853,
867,
870,
877,
880,
886,
888,
894,
896,
902,
903,
917,
923,
924,
926,
927,
930,
935,
941,
945,
954,
956,
958,
961,
965,
969,
978,
982,
985,
986,
996,
1008,
1014,
1020,
1022,
1023,
1036,
1042,
1048,
1058,
1059,
1062,
1064,
1066,
1067,
1069,
1071,
1072,
1079,
1084,
1086,
1100,
1101,
1103,
1104,
1119,
1121,
1123,
1126,
1128,
1129,
1131,
1133,
1134
]
}
|
legislator
|
What is the religion of current legislator Sherrod Brown?
|
religion refers to religion_bio;
|
SELECT religion_bio FROM current WHERE official_full_name = 'Sherrod Brown'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,887 | 4,887 |
CREATE TABLE `current`
(
official_full_name TEXT,
religion_bio TEXT
)
|
[
"SELECT",
"FROM"
] | 2 |
simple
|
{
"case_1": [
372,
492,
955,
1032,
1054,
1059
],
"case_2": [
372,
492,
955,
1032,
1054,
1059
],
"case_3": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
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177,
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220,
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233,
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240,
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243,
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272,
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279,
280,
281,
282,
283,
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285,
286,
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290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
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362,
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364,
365,
366,
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368,
369,
370,
371,
372,
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381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
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395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
legislator
|
What is the religion with the most occurrrence of the current legislators?
|
religion with the most occurrrence of the current legislators refers to MAX(count(religion_bio));
|
SELECT religion_bio FROM current GROUP BY religion_bio ORDER BY COUNT(religion_bio) DESC LIMIT 1
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,888 | 4,888 |
CREATE TABLE `current`
(
religion_bio TEXT
)
|
[
"GROUP BY",
"SELECT",
"ORDER BY",
"LIMIT",
"COUNT",
"FROM",
"DESC"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
993
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
1,
10,
11,
13,
15,
17,
20,
22,
28,
29,
36,
38,
43,
49,
55,
59,
62,
69,
73,
75,
78,
86,
89,
108,
115,
121,
125,
126,
133,
138,
140,
142,
143,
150,
159,
162,
163,
167,
169,
173,
174,
179,
181,
182,
185,
187,
188,
191,
199,
202,
206,
208,
213,
214,
229,
233,
247,
252,
262,
263,
275,
278,
281,
285,
286,
291,
309,
311,
313,
314,
319,
320,
324,
329,
334,
336,
337,
341,
342,
344,
345,
348,
349,
352,
353,
356,
359,
364,
365,
371,
373,
378,
379,
381,
385,
394,
395,
400,
403,
404,
409,
411,
424,
428,
429,
434,
435,
444,
445,
451,
454,
460,
462,
466,
469,
473,
481,
482,
495,
497,
505,
530,
532,
534,
536,
538,
542,
548,
552,
555,
560,
566,
567,
576,
578,
579,
583,
584,
586,
590,
592,
595,
611,
619,
621,
625,
626,
630,
634,
637,
638,
645,
654,
657,
659,
664,
665,
669,
681,
688,
690,
691,
696,
698,
701,
703,
708,
713,
718,
719,
721,
732,
733,
735,
743,
748,
752,
759,
760,
768,
778,
779,
790,
803,
810,
815,
817,
818,
823,
827,
830,
836,
850,
851,
861,
866,
869,
876,
886,
889,
891,
893,
901,
911,
918,
927,
929,
934,
946,
950,
951,
954,
956,
962,
963,
966,
967,
970,
972,
973,
975,
977,
981,
983,
987,
989,
993,
994,
1004,
1005,
1006,
1010,
1013,
1017,
1024,
1025,
1030,
1034,
1037,
1038,
1043,
1047,
1049,
1050,
1051,
1056,
1057,
1065,
1067,
1068,
1070,
1076,
1077,
1083,
1094,
1106,
1124,
1135,
1137,
1139,
1141
]
}
|
legislator
|
What is the current official Instagram handle of current legislator Bob Corker?
|
official Instagram handle refers to instagram;
|
SELECT T2.instagram FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Bob Corker'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,889 | 4,889 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
instagram TEXT,
instagram_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
489,
1074
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
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58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
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80,
81,
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85,
86,
88,
90,
91,
93,
94,
95,
96,
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101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
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141,
142,
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148,
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152,
153,
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155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
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186,
187,
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190,
191,
194,
195,
196,
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199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
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413,
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415,
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417,
419,
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426,
427,
428,
429,
430,
431,
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433,
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436,
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440,
441,
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445,
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448,
449,
450,
451,
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462,
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465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
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489,
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495,
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497,
498,
499,
500,
501,
503,
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514,
515,
516,
518,
519,
520,
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522,
523,
524,
526,
528,
529,
530,
532,
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535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
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580,
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586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
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767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
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841,
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845,
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851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
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870,
871,
873,
874,
875,
876,
877,
878,
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880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
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922,
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925,
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927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
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966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Among the current legislators who have accounts on both http://thomas.gov, how many of them have accounts on instagram?
|
have accounts on both http://thomas.gov refers to thomas_id is NOT null; have accounts on instagram refers to instagram is not null;
|
SELECT COUNT(DISTINCT T1.bioguide_id) FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.thomas_id IS NOT NULL AND T2.instagram IS NOT NULL
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,890 | 4,890 |
CREATE TABLE `current`
(
bioguide_id TEXT,
thomas_id INTEGER,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"NULL",
"INNER JOIN",
"ON",
"NOT",
"COUNT",
"IS",
"FROM"
] | 15 |
medium
|
{
"case_1": [
148,
436
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
16,
19,
20,
21,
22,
24,
26,
27,
30,
33,
34,
36,
37,
39,
42,
44,
45,
47,
51,
52,
53,
55,
57,
62,
63,
66,
67,
68,
69,
71,
73,
74,
75,
76,
77,
82,
85,
86,
88,
90,
91,
92,
93,
95,
96,
97,
98,
99,
105,
106,
111,
112,
113,
115,
116,
117,
118,
119,
121,
125,
126,
127,
128,
129,
131,
135,
138,
140,
141,
142,
143,
144,
146,
148,
150,
152,
154,
158,
159,
160,
163,
164,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
187,
188,
189,
190,
191,
195,
196,
197,
199,
200,
202,
206,
212,
214,
219,
225,
226,
227,
228,
229,
233,
234,
239,
240,
243,
244,
247,
254,
256,
258,
261,
262,
263,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
282,
294,
296,
298,
299,
300,
301,
303,
305,
311,
314,
315,
316,
317,
319,
320,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
349,
354,
356,
358,
360,
361,
364,
368,
370,
373,
374,
375,
376,
382,
383,
384,
385,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
408,
409,
411,
412,
413,
414,
416,
417,
419,
424,
425,
426,
427,
428,
433,
436,
437,
438,
440,
443,
444,
445,
446,
448,
451,
452,
454,
455,
460,
462,
463,
464,
465,
467,
469,
470,
471,
473,
475,
476,
477,
478,
479,
480,
482,
484,
487,
488,
489,
490,
493,
494,
496,
497,
498,
500,
503,
505,
507,
508,
509,
510,
514,
515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
541,
544,
547,
548,
550,
552,
557,
558,
559,
560,
561,
562,
563,
564,
566,
573,
580,
581,
582,
584,
586,
588,
589,
595,
596,
597,
601,
605,
606,
608,
610,
611,
612,
613,
615,
620,
624,
625,
626,
627,
630,
632,
633,
634,
637,
641,
643,
645,
646,
647,
648,
649,
651,
654,
658,
659,
660,
662,
663,
665,
666,
668,
669,
671,
672,
675,
677,
678,
681,
683,
684,
685,
686,
687,
688,
690,
693,
694,
695,
696,
697,
699,
702,
705,
706,
712,
714,
715,
721,
724,
726,
727,
733,
734,
735,
736,
739,
740,
741,
743,
746,
747,
749,
750,
752,
753,
754,
756,
758,
760,
762,
763,
765,
767,
768,
769,
772,
773,
775,
776,
777,
778,
779,
780,
783,
787,
788,
790,
793,
796,
797,
798,
799,
800,
802,
804,
805,
806,
807,
808,
810,
812,
813,
814,
818,
819,
824,
825,
827,
829,
830,
832,
835,
837,
838,
839,
841,
844,
848,
849,
851,
853,
857,
858,
859,
860,
861,
866,
867,
870,
873,
874,
876,
877,
878,
879,
880,
882,
886,
888,
892,
893,
894,
895,
896,
897,
898,
901,
902,
905,
907,
909,
911,
912,
915,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
941,
943,
944,
949,
950,
951,
953,
954,
956,
958,
959,
961,
963,
965,
969,
974,
975,
977,
978,
980,
981,
982,
985,
986,
991,
993,
996,
1000,
1001,
1005,
1006,
1010,
1013,
1014,
1015,
1017,
1019,
1020,
1022,
1023,
1027,
1031,
1036,
1037,
1039,
1042,
1043,
1044,
1046,
1047,
1048,
1050,
1051,
1052,
1058,
1059,
1061,
1062,
1063,
1064,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1086,
1087,
1092,
1094,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1115,
1119,
1123,
1124,
1128,
1129,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Please list the username of the current official Facebook presence of all the current legislators that are famous or impact.
|
username of the current official Facebook presence of the legislators refers to facebook; legislators that are famous or impact refers to wikipedia_id is not null;
|
SELECT T2.facebook FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.wikipedia_id IS NOT NULL GROUP BY T2.facebook
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,891 | 4,891 |
CREATE TABLE `current`
(
bioguide_id TEXT,
wikipedia_id TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"SELECT",
"-",
"NULL",
"INNER JOIN",
"ON",
"NOT",
"IS",
"FROM"
] | 11 |
medium
|
{
"case_1": [
148,
436
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
3,
7,
11,
16,
20,
21,
22,
34,
36,
39,
42,
45,
53,
55,
62,
69,
73,
74,
75,
85,
86,
92,
97,
98,
105,
106,
112,
115,
121,
125,
126,
128,
135,
138,
140,
141,
142,
143,
148,
150,
152,
154,
158,
159,
167,
169,
171,
172,
179,
180,
183,
184,
187,
188,
189,
191,
195,
197,
199,
200,
202,
206,
213,
214,
228,
229,
233,
240,
244,
247,
258,
263,
267,
272,
296,
298,
299,
300,
303,
305,
311,
313,
314,
319,
320,
325,
334,
339,
341,
344,
345,
349,
356,
364,
365,
368,
373,
375,
378,
379,
381,
382,
383,
391,
392,
393,
394,
395,
398,
402,
403,
406,
409,
411,
416,
424,
425,
436,
443,
444,
445,
446,
448,
454,
460,
462,
473,
476,
478,
479,
489,
493,
496,
498,
503,
505,
507,
508,
509,
514,
516,
520,
522,
528,
529,
532,
533,
536,
538,
544,
548,
550,
552,
559,
560,
562,
566,
573,
579,
580,
586,
589,
595,
601,
611,
620,
624,
630,
634,
637,
638,
643,
645,
646,
647,
649,
651,
654,
659,
660,
665,
669,
672,
675,
677,
681,
684,
688,
690,
693,
695,
696,
701,
706,
712,
720,
721,
724,
733,
735,
743,
746,
751,
752,
754,
756,
758,
760,
768,
772,
777,
778,
779,
788,
790,
805,
810,
818,
823,
827,
829,
830,
835,
837,
838,
844,
851,
858,
866,
870,
876,
878,
880,
882,
886,
889,
893,
894,
901,
905,
911,
918,
922,
925,
926,
927,
930,
932,
934,
935,
941,
943,
950,
951,
954,
956,
959,
962,
963,
973,
974,
975,
977,
978,
980,
981,
982,
985,
993,
1005,
1006,
1010,
1013,
1025,
1031,
1036,
1037,
1043,
1047,
1048,
1050,
1051,
1052,
1062,
1066,
1067,
1068,
1069,
1074,
1078,
1091,
1092,
1094,
1101,
1106,
1111,
1123,
1124,
1129,
1131,
1132,
1133,
1134,
1135,
1137
]
}
|
legislator
|
For how many terms have the oldest current legislator served?
|
oldest legislator refers to MIN(birthday_bio);
|
SELECT COUNT(T2.bioguide) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.birthday_bio = ( SELECT MIN(birthday_bio) FROM current )
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,892 | 4,892 |
CREATE TABLE `current`
(
bioguide_id TEXT,
birthday_bio DATE,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"MIN",
"COUNT",
"FROM"
] | 11 |
medium
|
{
"case_1": [
42
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
What was current legislator Sherrod Brown's Washington, D.C. office phone number during his term starting on 2013/1/3?
|
Washington, DC office phone number refers to phone; terms starting on 2013/1/3 refers to start = '2013-01-03';
|
SELECT T1.phone FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.official_full_name = 'Sherrod Brown' AND T1.start = '2013-01-03'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,893 | 4,893 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
name TEXT,
phone TEXT,
start TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
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7,
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16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
36,
37,
39,
41,
42,
43,
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53,
55,
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58,
59,
62,
63,
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66,
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69,
70,
71,
72,
73,
74,
75,
76,
77,
79,
80,
81,
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120,
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206,
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214,
217,
218,
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227,
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229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
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268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
362,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
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565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
679,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
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778,
779,
780,
782,
783,
784,
785,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
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850,
851,
852,
853,
854,
857,
858,
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860,
861,
862,
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864,
866,
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870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
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924,
925,
926,
927,
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930,
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935,
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937,
938,
940,
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950,
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952,
953,
954,
956,
958,
959,
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962,
963,
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967,
969,
970,
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980,
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988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
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1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Current legislator Sherrod Brown has been in the Democrat party during how many terms that he has served?
|
SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Sherrod Brown' AND T2.party = 'Democrat'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,894 | 4,894 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
name TEXT,
party TEXT,
party_affiliations TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 9 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
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434,
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447,
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450,
451,
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454,
455,
456,
457,
459,
460,
462,
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464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
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565,
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600,
601,
602,
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620,
621,
623,
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627,
628,
630,
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638,
639,
640,
641,
643,
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645,
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681,
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966,
967,
969,
970,
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993,
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1086,
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1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
legislator
|
Please list the full official names of all the current legislators who served the term that started on 2013/1/3.
|
term that started on 2013/1/3 refers to start = '2013-01-03';
|
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.start = '2013-01-03'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,895 | 4,895 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
name TEXT,
start TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
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42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
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346,
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368,
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370,
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381,
382,
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390,
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392,
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395,
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690,
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701,
702,
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705,
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721,
722,
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725,
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728,
733,
734,
735,
736,
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740,
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745,
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1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Among the current legislators who served the term starting on 2013/1/3, how many of them are female?
|
term starting on 2013/1/3 refers to start = '2013-01-03; female refers to gender_bio = 'F';
|
SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.start = '2013-01-03' AND T1.gender_bio = 'F'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,896 | 4,896 |
CREATE TABLE `current`
(
bioguide_id TEXT,
gender_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
end TEXT,
start TEXT,
primary key bioguide, end,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 11 |
medium
|
{
"case_1": [
42
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
What is the full official name of the current legislator that has served for the most number of terms?
|
served for the most number of terms refers to MAX(COUNT(bioguide));
|
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide GROUP BY T1.official_full_name, T2.bioguide ORDER BY COUNT(T2.bioguide) DESC LIMIT 1
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,897 | 4,897 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
name TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"-",
"INNER JOIN",
"ON",
"DESC",
"COUNT",
"FROM"
] | 12 |
medium
|
{
"case_1": [
42
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
3,
4,
6,
10,
11,
13,
15,
16,
20,
21,
22,
27,
28,
29,
30,
34,
36,
37,
39,
42,
45,
47,
49,
51,
53,
55,
59,
62,
63,
68,
69,
73,
74,
75,
77,
78,
82,
85,
86,
88,
89,
91,
93,
96,
97,
98,
105,
106,
108,
112,
113,
115,
117,
118,
119,
121,
125,
126,
128,
131,
135,
138,
140,
141,
142,
143,
146,
148,
150,
152,
154,
158,
159,
160,
162,
163,
164,
167,
169,
170,
172,
173,
175,
179,
180,
183,
184,
185,
187,
188,
189,
190,
191,
196,
197,
199,
200,
202,
206,
212,
213,
214,
225,
226,
227,
228,
229,
233,
234,
239,
240,
243,
244,
247,
252,
254,
256,
261,
262,
267,
268,
269,
272,
275,
276,
277,
278,
281,
285,
286,
291,
296,
299,
300,
301,
309,
311,
313,
314,
316,
317,
319,
320,
323,
324,
325,
329,
330,
334,
335,
336,
338,
339,
341,
342,
344,
345,
348,
349,
352,
353,
354,
356,
358,
359,
360,
364,
365,
368,
370,
371,
373,
374,
375,
378,
379,
381,
382,
383,
384,
385,
391,
392,
393,
394,
395,
401,
403,
406,
409,
411,
412,
416,
417,
424,
425,
426,
428,
429,
434,
435,
436,
444,
445,
446,
448,
451,
454,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
482,
484,
487,
488,
489,
490,
493,
495,
496,
497,
498,
500,
503,
505,
507,
509,
514,
515,
516,
519,
520,
522,
526,
529,
530,
532,
535,
536,
537,
538,
542,
544,
547,
548,
550,
552,
558,
559,
560,
562,
563,
564,
566,
567,
573,
578,
579,
580,
581,
582,
584,
586,
590,
592,
595,
596,
597,
606,
608,
611,
613,
620,
621,
624,
625,
626,
627,
630,
632,
633,
634,
637,
638,
641,
643,
645,
646,
647,
649,
651,
654,
657,
658,
659,
660,
662,
663,
664,
665,
668,
669,
671,
675,
677,
681,
684,
687,
688,
690,
691,
693,
694,
695,
696,
698,
701,
703,
705,
712,
714,
719,
720,
721,
727,
733,
734,
735,
736,
739,
740,
743,
746,
748,
749,
750,
751,
752,
753,
754,
756,
758,
759,
760,
762,
768,
769,
772,
777,
778,
779,
787,
788,
790,
796,
797,
799,
800,
802,
803,
804,
805,
810,
812,
813,
814,
818,
819,
823,
824,
827,
829,
830,
835,
838,
839,
841,
849,
850,
851,
853,
857,
858,
861,
866,
867,
869,
870,
874,
876,
877,
878,
882,
886,
888,
889,
891,
893,
896,
897,
898,
901,
902,
905,
909,
911,
912,
915,
917,
918,
922,
923,
924,
925,
926,
927,
929,
930,
932,
934,
935,
943,
950,
951,
953,
954,
956,
958,
959,
961,
962,
963,
966,
967,
969,
970,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
993,
994,
996,
1004,
1005,
1006,
1010,
1013,
1015,
1017,
1022,
1023,
1025,
1030,
1031,
1034,
1037,
1038,
1042,
1043,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1062,
1064,
1065,
1067,
1068,
1070,
1071,
1072,
1074,
1076,
1077,
1078,
1082,
1084,
1086,
1087,
1091,
1092,
1094,
1100,
1101,
1103,
1104,
1106,
1111,
1112,
1119,
1123,
1124,
1128,
1131,
1132,
1133,
1134,
1135,
1137
]
}
|
legislator
|
For how many terms has current legislator Sherrod Brown served as a representative for district no.13?
|
district no. 13 refers to district = 13;
|
SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Sherrod Brown' AND T2.district = 13
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,898 | 4,898 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
district REAL,
name TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 9 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
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124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
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217,
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239,
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243,
244,
246,
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248,
250,
254,
256,
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258,
259,
260,
261,
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264,
265,
266,
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268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
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447,
448,
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451,
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499,
500,
501,
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509,
510,
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526,
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529,
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550,
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563,
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570,
571,
572,
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578,
579,
580,
581,
582,
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586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
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767,
768,
769,
771,
772,
773,
774,
775,
776,
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778,
779,
780,
782,
783,
784,
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788,
790,
792,
793,
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796,
797,
798,
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802,
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804,
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822,
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825,
827,
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832,
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851,
852,
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854,
857,
858,
859,
860,
861,
862,
863,
866,
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870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
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950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
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966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
What is the official full name of the current legislator whose current official Facebook presence is "senjoniernst"?
|
current official Facebook presence is "senjoniernst" refers to facebook = 'senjoniernst';
|
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.facebook = 'senjoniernst'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,899 | 4,899 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
489,
1074
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
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84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
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165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
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199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
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467,
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471,
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473,
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475,
476,
477,
478,
479,
480,
482,
483,
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486,
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490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
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586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
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610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
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767,
768,
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771,
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774,
775,
776,
777,
778,
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790,
792,
793,
795,
796,
797,
798,
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800,
802,
803,
804,
805,
806,
807,
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809,
810,
812,
813,
814,
818,
819,
822,
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824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
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841,
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846,
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850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
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870,
871,
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875,
876,
877,
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880,
881,
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885,
886,
887,
888,
889,
891,
892,
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898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
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930,
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937,
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980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Which current legislator has served for more terms, Sherrod Brown or Maria Cantwell?
|
if sum(official_full_name = 'Maria Cantwell') > sum(official_full_name = 'Sherrod Brown') then Maria Cantwell has served for more term than Sherrod Brown; if sum(official_full_name = 'Sherrod Brown') > sum(official_full_name = 'Maria Cantwell'), then Sherrod Brown has served for more terms than Maria Cantwell;
|
SELECT CASE WHEN SUM(CASE WHEN T1.official_full_name = 'Maria Cantwell' THEN 1 ELSE 0 END) > SUM(CASE WHEN T1.official_full_name = 'Sherrod Brown' THEN 1 ELSE 0 END) THEN 'Maria Cantwell' ELSE 'Sherrod Brown' END FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,900 | 4,900 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
name TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 15 |
medium
|
{
"case_1": [
42
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
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53,
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55,
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59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
122,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
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153,
154,
155,
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163,
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165,
166,
167,
169,
170,
171,
172,
173,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
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199,
200,
201,
202,
205,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
362,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
709,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
939,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
979,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1093,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1110,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Among all the current legislators who have served for more than 4 terms, what is the percentage of them being female?
|
have served for more than 4 years refers to count(bioguide) > 4; percentage = MULTIPLY(DIVIDE(SUM(gender_bio = 'F'), count(bioguide)), 100.0); female refers to gender_bio = 'F'
|
SELECT CAST(SUM(CASE WHEN gender_bio = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.bioguide) FROM ( SELECT T2.bioguide, T1.gender_bio FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide GROUP BY T2.bioguide HAVING COUNT(T2.bioguide) > 4 ) T3
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,901 | 4,901 |
CREATE TABLE `current`
(
bioguide_id TEXT,
gender_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
end TEXT,
primary key bioguide, end,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"CASE WHEN",
"AS",
"SELECT",
"HAVING",
"SUM",
"CASE",
"-",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 18 |
challenging
|
{
"case_1": [
993
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
436,
788,
882,
993,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
6,
11,
16,
22,
24,
36,
39,
42,
55,
61,
62,
64,
69,
71,
73,
74,
75,
77,
81,
86,
93,
98,
106,
112,
113,
115,
119,
120,
121,
125,
126,
127,
129,
140,
141,
142,
143,
148,
152,
153,
155,
158,
159,
167,
169,
173,
179,
183,
184,
187,
188,
189,
191,
192,
195,
197,
199,
201,
202,
206,
207,
212,
213,
214,
215,
219,
223,
225,
226,
228,
229,
233,
234,
236,
244,
247,
248,
254,
261,
264,
267,
271,
279,
299,
300,
304,
311,
313,
314,
316,
317,
319,
320,
322,
323,
325,
334,
335,
339,
341,
344,
345,
347,
349,
356,
360,
364,
365,
373,
375,
378,
379,
381,
382,
383,
391,
392,
393,
394,
402,
403,
406,
409,
411,
412,
415,
416,
423,
424,
427,
436,
438,
444,
445,
448,
452,
453,
454,
458,
460,
462,
473,
476,
478,
483,
485,
486,
487,
488,
500,
504,
505,
509,
510,
514,
517,
518,
520,
532,
535,
536,
537,
538,
540,
544,
547,
548,
550,
552,
559,
560,
563,
564,
566,
571,
573,
575,
579,
580,
581,
595,
597,
611,
620,
623,
628,
630,
634,
638,
640,
645,
646,
649,
654,
658,
659,
662,
665,
666,
669,
676,
681,
682,
686,
688,
690,
695,
696,
701,
710,
721,
723,
733,
735,
740,
743,
744,
747,
750,
752,
753,
756,
760,
762,
768,
772,
776,
777,
778,
779,
787,
788,
790,
795,
796,
798,
800,
802,
805,
808,
810,
813,
818,
823,
827,
830,
832,
838,
841,
848,
851,
866,
868,
870,
871,
874,
876,
882,
886,
893,
894,
896,
898,
901,
909,
911,
912,
918,
922,
924,
926,
927,
930,
934,
943,
944,
950,
951,
954,
956,
958,
959,
962,
963,
973,
975,
977,
981,
985,
993,
998,
1005,
1006,
1008,
1010,
1012,
1013,
1023,
1031,
1037,
1043,
1047,
1050,
1051,
1062,
1064,
1067,
1068,
1069,
1070,
1072,
1078,
1082,
1087,
1092,
1094,
1098,
1100,
1101,
1106,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1137
]
}
|
legislator
|
What is the average number of terms served for a current legislator that's famous or impact?
|
average = DIVIDE(COUNT(bioguide), COUNT(bioguide_id)); legislator that's famous or impact refers to wikipedia_id is not null;
|
SELECT CAST(COUNT(T2.bioguide) AS REAL) / COUNT(DISTINCT T1.bioguide_id) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.wikipedia_id IS NOT NULL
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,902 | 4,902 |
CREATE TABLE `current`
(
bioguide_id TEXT,
wikipedia_id TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"NULL",
"INNER JOIN",
"ON",
"NOT",
"CAST",
"COUNT",
"IS",
"FROM"
] | 14 |
medium
|
{
"case_1": [
42
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
3,
4,
6,
7,
11,
16,
21,
22,
24,
27,
30,
34,
36,
37,
39,
42,
45,
47,
51,
53,
55,
62,
63,
64,
67,
68,
69,
73,
74,
75,
77,
82,
85,
86,
88,
91,
92,
93,
96,
97,
98,
105,
106,
112,
113,
115,
117,
118,
119,
120,
121,
125,
126,
128,
131,
135,
138,
140,
141,
142,
143,
146,
148,
150,
152,
154,
158,
159,
160,
164,
167,
169,
170,
171,
172,
175,
179,
180,
183,
184,
187,
188,
189,
190,
191,
195,
196,
197,
199,
200,
201,
202,
206,
212,
214,
225,
226,
227,
228,
229,
233,
234,
236,
240,
243,
244,
247,
248,
254,
256,
258,
261,
263,
264,
267,
268,
269,
272,
276,
277,
278,
296,
298,
299,
300,
301,
303,
304,
305,
311,
314,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
354,
356,
358,
360,
364,
368,
370,
373,
374,
375,
382,
383,
384,
391,
392,
393,
394,
395,
398,
401,
402,
403,
406,
409,
411,
412,
416,
417,
423,
424,
425,
426,
436,
443,
444,
445,
446,
448,
451,
452,
454,
458,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
479,
483,
484,
485,
487,
488,
489,
490,
493,
496,
498,
500,
503,
505,
507,
508,
509,
510,
514,
515,
516,
519,
520,
522,
526,
528,
529,
532,
533,
535,
536,
537,
538,
540,
544,
547,
548,
550,
552,
558,
559,
560,
562,
563,
564,
566,
573,
575,
580,
581,
582,
589,
595,
596,
597,
601,
606,
608,
611,
613,
620,
623,
624,
627,
630,
632,
633,
634,
637,
641,
643,
645,
646,
647,
649,
654,
658,
659,
660,
662,
663,
665,
668,
669,
671,
672,
675,
676,
677,
681,
684,
686,
687,
688,
690,
693,
694,
695,
696,
705,
706,
710,
712,
714,
721,
724,
727,
733,
734,
735,
736,
739,
740,
743,
744,
746,
749,
750,
752,
753,
754,
756,
758,
760,
762,
768,
769,
772,
777,
778,
779,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
808,
810,
812,
813,
814,
818,
819,
824,
827,
829,
830,
832,
835,
837,
838,
839,
841,
844,
849,
851,
853,
857,
858,
866,
867,
870,
874,
876,
877,
878,
880,
882,
886,
888,
893,
894,
896,
897,
898,
901,
902,
905,
909,
911,
912,
915,
917,
918,
922,
923,
924,
925,
926,
927,
930,
934,
935,
941,
943,
950,
951,
954,
956,
958,
959,
961,
963,
969,
974,
975,
977,
978,
980,
981,
982,
985,
986,
993,
996,
1005,
1006,
1010,
1013,
1014,
1015,
1020,
1022,
1023,
1031,
1036,
1037,
1042,
1043,
1047,
1048,
1050,
1051,
1052,
1058,
1059,
1062,
1064,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1082,
1084,
1086,
1087,
1092,
1094,
1100,
1101,
1103,
1104,
1106,
1111,
1112,
1119,
1123,
1124,
1128,
1129,
1131,
1132,
1133,
1134,
1135,
1137
]
}
|
legislator
|
How many of the legislators are female?
|
female refers to gender_bio = 'F';
|
SELECT COUNT(gender_bio) FROM current WHERE gender_bio = 'F'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,903 | 4,903 |
CREATE TABLE `current`
(
gender_bio TEXT
)
|
[
"COUNT",
"SELECT",
"FROM"
] | 3 |
simple
|
{
"case_1": [
372,
492,
955,
1032,
1054,
1059
],
"case_2": [
372,
492,
955,
1032,
1054,
1059
],
"case_3": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
365,
366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
legislator
|
What is the total number of senators New Jersey have?
|
senators refers to type = 'rep'; New Jersey refers to state = 'NJ';
|
SELECT COUNT(type) FROM `historical-terms` WHERE state = 'NJ' AND type = 'rep'
|
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,904 | 4,904 |
CREATE TABLE `historical-terms`
(
state TEXT,
state_rank TEXT
)
|
[
"AND",
"SELECT",
"-",
"COUNT",
"FROM"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
42,
124,
148,
272,
368,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
8,
9,
10,
11,
12,
13,
15,
16,
19,
20,
21,
22,
24,
25,
26,
27,
28,
30,
32,
33,
34,
35,
36,
37,
38,
39,
40,
42,
43,
44,
45,
47,
50,
51,
52,
53,
55,
56,
57,
61,
62,
63,
66,
67,
68,
69,
71,
73,
74,
75,
76,
77,
78,
79,
82,
85,
86,
87,
88,
89,
90,
91,
93,
95,
96,
97,
98,
99,
100,
105,
106,
108,
109,
111,
112,
113,
115,
116,
117,
118,
119,
121,
124,
125,
126,
127,
128,
129,
131,
135,
138,
140,
141,
142,
143,
144,
146,
147,
148,
152,
154,
157,
158,
159,
160,
163,
164,
167,
168,
169,
170,
172,
173,
175,
176,
177,
179,
180,
182,
183,
184,
185,
187,
188,
189,
190,
191,
192,
196,
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198,
199,
200,
202,
203,
206,
210,
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216,
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223,
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230,
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234,
239,
240,
243,
244,
247,
252,
253,
254,
255,
256,
258,
259,
261,
262,
265,
266,
267,
268,
269,
270,
271,
272,
273,
275,
276,
277,
278,
282,
286,
291,
293,
294,
296,
299,
300,
301,
303,
305,
311,
314,
315,
316,
317,
319,
320,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
348,
349,
350,
352,
354,
356,
358,
359,
360,
361,
362,
364,
367,
368,
370,
371,
373,
374,
375,
376,
380,
382,
383,
384,
385,
391,
392,
393,
394,
395,
396,
398,
399,
401,
402,
403,
405,
406,
408,
409,
410,
411,
412,
413,
414,
416,
417,
418,
419,
420,
421,
423,
424,
425,
426,
427,
428,
433,
436,
437,
438,
439,
440,
443,
444,
445,
446,
447,
448,
451,
452,
453,
454,
455,
458,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
473,
475,
476,
477,
478,
480,
481,
482,
484,
485,
487,
488,
489,
490,
492,
493,
494,
496,
497,
498,
500,
503,
504,
505,
507,
509,
510,
512,
514,
515,
516,
517,
519,
520,
522,
524,
526,
528,
529,
530,
531,
532,
533,
535,
536,
537,
538,
539,
541,
542,
543,
544,
545,
547,
548,
550,
551,
552,
554,
557,
558,
559,
560,
561,
562,
563,
564,
566,
573,
580,
581,
582,
584,
585,
586,
588,
589,
591,
594,
595,
596,
597,
598,
599,
601,
603,
605,
606,
608,
610,
611,
612,
613,
615,
617,
618,
620,
622,
624,
625,
626,
627,
629,
630,
632,
633,
634,
637,
641,
643,
645,
646,
647,
648,
649,
651,
654,
656,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
671,
673,
675,
677,
678,
679,
680,
681,
683,
684,
685,
686,
687,
688,
689,
690,
692,
693,
694,
695,
696,
697,
698,
699,
702,
703,
705,
707,
709,
712,
714,
715,
716,
718,
719,
721,
726,
727,
729,
730,
733,
734,
735,
736,
737,
739,
740,
741,
743,
746,
747,
748,
749,
750,
752,
753,
754,
756,
757,
758,
760,
762,
763,
765,
767,
768,
769,
770,
772,
773,
775,
776,
777,
778,
779,
780,
783,
785,
787,
788,
790,
793,
794,
795,
796,
797,
798,
799,
800,
802,
804,
805,
806,
807,
808,
810,
811,
812,
813,
814,
817,
818,
819,
820,
821,
824,
825,
826,
827,
829,
830,
831,
832,
835,
838,
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840,
841,
843,
844,
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849,
851,
853,
855,
857,
858,
859,
860,
861,
864,
865,
866,
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869,
870,
873,
874,
876,
877,
878,
879,
882,
886,
888,
890,
892,
893,
894,
895,
896,
897,
898,
899,
901,
902,
903,
905,
907,
909,
911,
912,
913,
915,
917,
918,
920,
922,
923,
924,
925,
926,
927,
928,
930,
931,
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934,
935,
941,
942,
943,
944,
945,
949,
950,
951,
953,
954,
955,
956,
958,
959,
960,
961,
963,
965,
968,
969,
972,
974,
975,
976,
977,
979,
980,
981,
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985,
986,
991,
993,
996,
998,
1000,
1001,
1005,
1006,
1008,
1009,
1010,
1011,
1013,
1014,
1015,
1017,
1018,
1019,
1020,
1022,
1023,
1027,
1030,
1031,
1037,
1039,
1042,
1043,
1044,
1046,
1047,
1050,
1051,
1052,
1053,
1055,
1057,
1058,
1059,
1061,
1062,
1063,
1064,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1076,
1077,
1078,
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1080,
1081,
1082,
1084,
1086,
1087,
1090,
1092,
1093,
1094,
1096,
1100,
1101,
1103,
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1113,
1115,
1117,
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1121,
1123,
1124,
1126,
1127,
1128,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Provide the address of the legislator with the contact form of http://www.carper.senate.gov/contact/.
|
SELECT address FROM `current-terms` WHERE contact_form = 'http://www.carper.senate.gov/contact/'
|
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,905 | 4,905 |
CREATE TABLE `current-terms`
(
CREATE TABLE "current-terms"
address TEXT,
contact_form TEXT
)
|
[
"/",
"-",
"SELECT",
"FROM"
] | 4 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
826,
882,
955,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
2,
3,
21,
32,
34,
39,
42,
43,
45,
74,
79,
85,
97,
98,
105,
112,
115,
128,
129,
135,
141,
148,
154,
158,
172,
173,
180,
183,
184,
187,
189,
197,
199,
200,
227,
228,
240,
244,
253,
259,
272,
296,
300,
325,
339,
341,
356,
362,
368,
382,
383,
391,
392,
393,
394,
396,
402,
409,
416,
425,
436,
445,
446,
448,
487,
489,
496,
498,
503,
507,
509,
510,
514,
520,
522,
528,
529,
544,
550,
551,
559,
562,
580,
601,
617,
624,
636,
637,
643,
647,
649,
660,
667,
675,
677,
679,
681,
684,
693,
695,
709,
729,
737,
746,
754,
756,
758,
770,
777,
785,
788,
795,
798,
805,
806,
813,
817,
826,
829,
835,
838,
858,
864,
865,
870,
878,
882,
905,
922,
925,
930,
943,
954,
955,
959,
974,
979,
980,
985,
993,
1009,
1031,
1042,
1052,
1057,
1066,
1068,
1070,
1074,
1078,
1092,
1093,
1101,
1111,
1123,
1132
]
}
|
|
legislator
|
Provide the Instagram username of the legislator named Benjamin Hawkins.
|
Instagram username refers to instagram;
|
SELECT T1.instagram FROM `social-media` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.first_name = 'Benjamin' AND T2.last_name = 'Hawkins'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,906 | 4,906 |
CREATE TABLE `current`
(
bioguide_id TEXT,
first_name TEXT,
last_name TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
instagram TEXT,
instagram_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
489,
1074
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
36,
37,
39,
41,
42,
43,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
79,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
362,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
679,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
785,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
864,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Give the alphanumeric ID of the Catholic legislators in Nebraska.
|
alphanumeric ID refers to bioguide; Catholic legislators refers to religion_bio = 'Catholic'; Nebraska refers to state = 'NE';
|
SELECT T1.bioguide FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.religion_bio = 'Catholic' AND T1.state = 'NE'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,907 | 4,907 |
CREATE TABLE `current`
(
bioguide_id TEXT,
religion_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
state TEXT,
state_rank TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
36,
37,
39,
41,
42,
43,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
79,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
362,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
679,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
785,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
864,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
List down the MapLight ID of the representatives in Maine.
|
representatives refers to type = 'rep'; Maine refers to state = 'ME';
|
SELECT T1.maplight_id FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.type = 'rep' AND T2.state = 'ME' GROUP BY T1.maplight_id
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,908 | 4,908 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
maplight_id TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
state TEXT,
state_rank TEXT,
type TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"GROUP BY",
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
272
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
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7,
8,
11,
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80,
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93,
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95,
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134,
135,
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295,
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307,
308,
309,
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313,
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315,
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495,
496,
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500,
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507,
509,
510,
511,
514,
515,
516,
518,
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520,
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556,
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620,
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628,
630,
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670,
671,
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674,
675,
676,
677,
678,
681,
682,
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684,
685,
686,
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1029,
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1033,
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1035,
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1038,
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1049,
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1068,
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1078,
1080,
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1084,
1085,
1086,
1087,
1089,
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1095,
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1099,
1100,
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1103,
1104,
1105,
1106,
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1114,
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1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Give the type and start date of the term of the legislator born on November 26, 1727.
|
start date of the term refers to start; born on November 26, 1727 refers to birthday_bio = '1727-11-26';
|
SELECT T2.type, T2.start FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.birthday_bio = '1727-11-26'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,909 | 4,909 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
birthday_bio TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
start TEXT,
type TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
272
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
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1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
What is the contact form of the legislator named Rick Crawford?
|
SELECT T2.contact_form FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Rick Crawford'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,910 | 4,910 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
contact_form TEXT,
name TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
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42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
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"case_5": [
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700,
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722,
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728,
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1080,
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1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
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