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
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stringlengths 41
1.68k
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listlengths 2
17
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46
| sql_complexity_buckets
stringclasses 3
values | few_shots
dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
cars
|
Give the model year of the heaviest car.
|
the heaviest refers to max(weight)
|
SELECT T2.model_year FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID ORDER BY T1.weight DESC LIMIT 1
|
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,111 | 3,111 |
CREATE TABLE `data`
(
ID INTEGER
primary key,
weight INTEGER,
model INTEGER,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
model_year INTEGER,
primary key ID, model_year,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 9 |
simple
|
{
"case_1": [
117,
556,
705,
964
],
"case_2": [
117,
556,
705,
964
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
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1133,
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1136,
1137,
1139,
1141
]
}
|
cars
|
What is the horsepower and model year of the car named Subaru Dl?
|
the car named Subaru Dl refers to car_name = 'subaru dl'
|
SELECT T1.horsepower, T2.model_year FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID WHERE T1.car_name = 'subaru dl'
|
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,112 | 3,112 |
CREATE TABLE `data`
(
ID INTEGER
primary key,
horsepower INTEGER,
model INTEGER,
car_name TEXT,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
model_year INTEGER,
primary key ID, model_year,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
117,
556,
705,
964
],
"case_2": [
117,
556,
705,
964
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
0,
1,
2,
3,
4,
5,
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347,
349,
353,
354,
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710,
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727,
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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,
913,
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,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
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,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
cars
|
Among the cars originated from Japan, what is the name of the car with the highest price?
|
from Japan refers to country = 'Japan'; name of the car refers to car_name; the highest price refers to max(price)
|
SELECT T4.car_name FROM price AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country INNER JOIN data AS T4 ON T4.ID = T1.ID WHERE T3.country = 'Japan' ORDER BY T1.price DESC LIMIT 1
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,113 | 3,113 |
CREATE TABLE `country`
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE `price`
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
car_name TEXT,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
country INTEGER,
primary key ID,
foreign key country references countryorigin,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 15 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
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,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
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,
174,
175,
176,
177,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
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,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
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,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
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,
534,
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,
576,
577,
578,
579,
580,
581,
582,
583,
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,
619,
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,
664,
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,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
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,
815,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
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,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
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,
1030,
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,
1076,
1077,
1078,
1080,
1082,
1083,
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,
1139,
1141
]
}
|
cars
|
What are the names of the cars worth 20000?
|
name of the car refers to car_name; worth 20000 refers to price = 20000
|
SELECT T1.car_name FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T2.price = 20000
|
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,114 | 3,114 |
CREATE TABLE `price`
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
car_name TEXT,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
19,
511
],
"case_2": [
19,
511
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"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,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
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,
192,
194,
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196,
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199,
200,
201,
202,
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,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
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,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
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411,
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414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
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430,
431,
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460,
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467,
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473,
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484,
485,
486,
487,
488,
489,
490,
491,
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506,
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508,
509,
510,
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516,
517,
518,
519,
520,
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522,
523,
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526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
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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,
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,
653,
654,
655,
657,
658,
659,
660,
661,
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,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
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800,
802,
803,
804,
805,
806,
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809,
810,
812,
813,
814,
818,
819,
822,
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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,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
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940,
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944,
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950,
951,
952,
953,
954,
956,
958,
959,
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963,
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967,
969,
970,
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974,
975,
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978,
980,
981,
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988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
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,
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1058,
1060,
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1070,
1071,
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1080,
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1131,
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1135,
1136,
1137
]
}
|
cars
|
How many cars worth greater than 40000 were from the USA?
|
worth greater than 40000 refers to price > 40000; from the USA refers to country = 'USA'
|
SELECT COUNT(*) FROM price AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T3.country = 'USA' AND T1.price > 40000
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,115 | 3,115 |
CREATE TABLE `country`
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE `price`
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE `production`
(
ID INTEGER,
country INTEGER,
primary key ID,
foreign key country references countryorigin,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 11 |
medium
|
{
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200,
201,
202,
206,
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217,
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234,
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241,
242,
243,
244,
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254,
256,
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258,
259,
260,
261,
262,
264,
265,
266,
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268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
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,
363,
364,
365,
367,
368,
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370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
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386,
387,
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389,
390,
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392,
393,
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398,
399,
401,
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480,
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509,
510,
511,
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517,
518,
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520,
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522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
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538,
539,
540,
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542,
544,
547,
548,
550,
552,
554,
556,
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588,
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621,
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901,
902,
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910,
911,
912,
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915,
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922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
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937,
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950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
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966,
967,
969,
970,
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973,
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977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
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,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
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1078,
1079,
1080,
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1109,
1111,
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1114,
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1121,
1122,
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1124,
1126,
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1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
cars
|
Provide the price and country origin of the car named Ford Maverick.
|
country origin refers to country; Ford Maverick refers to car_name = 'ford maverick'
|
SELECT DISTINCT T1.price, T3.country FROM price AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country INNER JOIN data AS T4 ON T4.ID = T1.ID WHERE T4.car_name = 'ford maverick'
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,116 | 3,116 |
CREATE TABLE `country`
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE `price`
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
car_name TEXT,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
country INTEGER,
primary key ID,
foreign key country references countryorigin,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 12 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
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18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
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41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
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66,
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70,
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86,
87,
88,
89,
90,
91,
92,
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158,
159,
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162,
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165,
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176,
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179,
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183,
184,
186,
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189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
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,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
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,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
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,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
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,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
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,
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,
653,
654,
655,
657,
658,
659,
660,
661,
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,
781,
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,
913,
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,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
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,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
cars
|
List the car's name with a price worth greater than 85% of the average price of all cars.
|
car's name refers to car_name; a price worth greater than 85% of the average price of all cars refers to price > multiply(avg(price), 0.85)
|
SELECT T1.car_name FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T2.price * 100 > ( SELECT AVG(price) * 85 FROM price )
|
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,117 | 3,117 |
CREATE TABLE `price`
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
car_name TEXT,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"AVG",
"FROM"
] | 9 |
simple
|
{
"case_1": [
19,
511
],
"case_2": [
19,
511
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"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,
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,
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,
781,
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,
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,
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
]
}
|
cars
|
Calculate the difference between the number of cars that has a horsepower of 130 with the model year 1970 and model year 1976
|
a horsepower of 130 refers to horsepower = 130; difference = subtract(count(ID where model_year = 1970), count(ID where model_year = 1976)) where horsepower = 130
|
SELECT SUM(CASE WHEN T2.model_year = 1970 THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.model_year = 1976 THEN 1 ELSE 0 END) FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID WHERE T1.horsepower = 130
|
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,118 | 3,118 |
CREATE TABLE `data`
(
ID INTEGER
primary key,
horsepower INTEGER,
model INTEGER,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
model_year INTEGER,
primary key ID, model_year,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"INNER JOIN",
"ON",
"FROM"
] | 12 |
medium
|
{
"case_1": [
-1
],
"case_2": [
117,
556,
705,
964
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"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,
54,
55,
57,
58,
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,
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,
192,
194,
195,
196,
197,
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,
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,
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,
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
]
}
|
cars
|
Among the cars from Asia, list the IDs of cars that were introduced in 1979.
|
from Asia refers to country = 'Japan'; introduced in 1979 refers to model_year = 1979
|
SELECT T1.ID FROM production AS T1 INNER JOIN country AS T2 ON T1.country = T2.origin WHERE T2.country = 'Japan' AND T1.model_year = 1979
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,119 | 3,119 |
CREATE TABLE `country`
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE `production`
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key ID, model_year,
foreign key country references countryorigin,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
1,
226,
560
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
0,
1,
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45,
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48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
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71,
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80,
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83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
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117,
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120,
121,
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126,
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132,
134,
135,
136,
137,
138,
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140,
141,
142,
143,
144,
145,
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148,
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152,
153,
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155,
158,
159,
160,
162,
163,
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165,
166,
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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,
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236,
239,
240,
241,
242,
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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,
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,
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,
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432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
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509,
510,
511,
514,
515,
516,
518,
519,
520,
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522,
523,
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528,
529,
530,
532,
533,
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536,
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538,
539,
540,
541,
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548,
550,
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556,
557,
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559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
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578,
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580,
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590,
592,
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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,
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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,
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767,
768,
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771,
772,
773,
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780,
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783,
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790,
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793,
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798,
799,
800,
802,
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806,
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832,
833,
834,
835,
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838,
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850,
851,
852,
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857,
858,
859,
860,
861,
862,
863,
866,
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870,
871,
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876,
877,
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909,
910,
911,
912,
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915,
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953,
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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,
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,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
cars
|
Which country produced the car with the lowest mileage per gallon?
|
the lowest mileage per gallon refers to min(mpg)
|
SELECT T3.country FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country ORDER BY T1.mpg ASC LIMIT 1
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,120 | 3,120 |
CREATE TABLE `country`
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
mpg REAL,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
country INTEGER,
primary key ID,
foreign key country references countryorigin,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"ASC",
"FROM"
] | 12 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
0,
1,
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111,
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135,
136,
137,
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141,
142,
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151,
152,
153,
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170,
171,
172,
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183,
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1118,
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1124,
1128,
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1132,
1133,
1134,
1135,
1136,
1137
]
}
|
cars
|
Provide the name, model, sweep volume, and introduced year of the car with the best crash protection.
|
car's name refers to car_name; sweep volume = divide(displacement, cylinders); introduced year refers to model_year; the best crash protection refers to max(weight)
|
SELECT T1.car_name, T1.model, T1.displacement / T1.cylinders, T2.model_year FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID ORDER BY T1.weight DESC LIMIT 1
|
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,121 | 3,121 |
CREATE TABLE `data`
(
ID INTEGER
primary key,
displacement REAL,
weight INTEGER,
model INTEGER,
car_name TEXT,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
model_year INTEGER,
primary key ID, model_year,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 9 |
simple
|
{
"case_1": [
117,
556,
705,
964
],
"case_2": [
117,
556,
705,
964
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
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263,
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280,
281,
282,
284,
285,
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287,
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290,
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301,
302,
304,
307,
308,
309,
311,
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313,
314,
315,
316,
317,
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319,
320,
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322,
323,
324,
325,
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330,
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334,
335,
336,
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339,
340,
341,
342,
343,
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345,
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347,
348,
349,
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356,
357,
358,
359,
360,
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364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
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389,
390,
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392,
393,
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398,
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401,
402,
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408,
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411,
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419,
422,
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490,
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495,
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606,
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614,
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616,
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620,
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627,
628,
630,
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632,
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634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
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650,
651,
652,
654,
655,
657,
658,
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663,
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665,
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668,
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670,
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672,
674,
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678,
681,
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685,
686,
687,
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690,
691,
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700,
701,
702,
703,
704,
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708,
710,
711,
712,
714,
715,
717,
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720,
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722,
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725,
726,
727,
728,
732,
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740,
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751,
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790,
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804,
805,
806,
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809,
810,
812,
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814,
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818,
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822,
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824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
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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,
867,
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869,
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,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
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,
1030,
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,
1076,
1077,
1078,
1080,
1082,
1083,
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,
1139,
1141
]
}
|
cars
|
Among the cars introduced in 1977, provide the names and the horse powers of cars from Europe.
|
introduced in 1977 refers to model_year = 1977; car's name refers to car_name; from Europe refers to country = 'Europe'
|
SELECT T1.car_name, T1.horsepower FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T2.model_year = 1977 AND T3.country = 'Europe'
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,122 | 3,122 |
CREATE TABLE `country`
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
horsepower INTEGER,
model INTEGER,
car_name TEXT,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key ID, model_year,
foreign key country references countryorigin,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"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,
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,
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,
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,
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,
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440,
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448,
449,
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451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
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465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
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479,
480,
482,
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484,
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490,
491,
493,
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495,
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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,
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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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562,
563,
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565,
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567,
569,
570,
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579,
580,
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586,
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588,
589,
590,
592,
593,
595,
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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,
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750,
751,
752,
753,
754,
755,
756,
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759,
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763,
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780,
782,
783,
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788,
790,
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793,
796,
797,
798,
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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,
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,
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,
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
]
}
|
cars
|
Provide the name and model of the car with the highest price.
|
car's name refers to car_name; the highest price refers to max(price)
|
SELECT T1.car_name, T1.model FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID ORDER BY T2.price DESC LIMIT 1
|
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,123 | 3,123 |
CREATE TABLE `price`
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
model INTEGER,
car_name TEXT,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 9 |
simple
|
{
"case_1": [
19,
511
],
"case_2": [
19,
511
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
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,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
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116,
117,
118,
119,
120,
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125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
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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,
174,
175,
176,
177,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
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233,
234,
235,
236,
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240,
241,
242,
243,
244,
246,
247,
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250,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
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268,
269,
272,
275,
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277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
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,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
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,
534,
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,
576,
577,
578,
579,
580,
581,
582,
583,
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,
619,
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,
664,
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,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
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,
815,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
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,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
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,
1030,
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,
1076,
1077,
1078,
1080,
1082,
1083,
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,
1139,
1141
]
}
|
cars
|
What is the price of a Chevrolet Bel Air?
|
Chevrolet Bel Air refers to car_name = 'chevrolet bel air'
|
SELECT T2.price FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.car_name = 'chevrolet bel air'
|
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,124 | 3,124 |
CREATE TABLE `price`
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
car_name TEXT,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
19,
511
],
"case_2": [
19,
511
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
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21,
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62,
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113,
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141,
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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,
192,
194,
195,
196,
197,
199,
200,
201,
202,
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,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
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,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
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,
443,
444,
445,
446,
447,
448,
449,
450,
451,
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453,
454,
455,
456,
457,
458,
459,
460,
462,
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464,
465,
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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,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
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,
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570,
571,
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573,
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575,
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578,
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580,
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588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
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606,
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615,
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620,
621,
623,
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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,
653,
654,
655,
657,
658,
659,
660,
661,
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,
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771,
772,
773,
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775,
776,
777,
778,
779,
780,
781,
782,
783,
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786,
787,
788,
790,
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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,
913,
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,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
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,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
cars
|
What is the average price per car produced in Japan?
|
produced in Japan refers to country = 'Japan'; average price per car = avg(price) where country = 'Japan'
|
SELECT AVG(T1.price) FROM price AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T3.country = 'Japan'
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,125 | 3,125 |
CREATE TABLE `country`
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE `price`
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE `production`
(
ID INTEGER,
country INTEGER,
primary key ID,
foreign key country references countryorigin,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"AVG",
"FROM"
] | 10 |
simple
|
{
"case_1": [
863
],
"case_2": [
863
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"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,
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,
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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,
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,
781,
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,
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,
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
]
}
|
cars
|
Which country produced the car with the lowest price?
|
the lowest price refers to min(price)
|
SELECT T3.country FROM price AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country ORDER BY T1.price ASC LIMIT 1
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,126 | 3,126 |
CREATE TABLE `country`
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE `price`
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE `production`
(
ID INTEGER,
country INTEGER,
primary key ID,
foreign key country references countryorigin,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"ASC",
"FROM"
] | 12 |
medium
|
{
"case_1": [
-1
],
"case_2": [
863
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
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,
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,
713,
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,
1024,
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
]
}
|
cars
|
Among the cars produced in 1975, provide IDs, names, and producing countries of the cars with the maximum number of cylinders.
|
produced in 1975 refers to model_year = 1975; names refers to car_name; producing countries refers to country; the maximum number of cylinders refers to max(cylinders)
|
SELECT T1.ID, T1.car_name, T3.country FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T2.model_year = 1975 ORDER BY T1.cylinders DESC LIMIT 1
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,127 | 3,127 |
CREATE TABLE `country`
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
cylinders INTEGER,
model INTEGER,
car_name TEXT,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key ID, model_year,
foreign key country references countryorigin,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 12 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
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,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
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,
174,
175,
176,
177,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
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,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
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,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
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,
534,
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,
576,
577,
578,
579,
580,
581,
582,
583,
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,
619,
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,
664,
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,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
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,
815,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
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,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
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,
1030,
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,
1076,
1077,
1078,
1080,
1082,
1083,
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,
1139,
1141
]
}
|
cars
|
Which car is the cheapest? Provide its acceleration, number of cylinders, and producing year.
|
the cheapest refers to min(price); number of cylinders refers to cylinders; producing year refers to model_year
|
SELECT T1.acceleration, T1.cylinders, T2.model_year FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN price AS T3 ON T3.ID = T2.ID ORDER BY T3.price ASC LIMIT 1
|
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,128 | 3,128 |
CREATE TABLE `price`
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
cylinders INTEGER,
acceleration REAL,
model INTEGER,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
model_year INTEGER,
primary key ID, model_year,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"ASC",
"FROM"
] | 12 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
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,
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,
713,
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,
1024,
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
]
}
|
cars
|
List the names and prices of the cars with model 82 and mileage per gallon of greater than 30.
|
car's name refers to car_name; model 82 refers to model = 82; mileage per gallon of greater than 30 refers to mpg > 30
|
SELECT T2.car_name, T1.price FROM price AS T1 INNER JOIN data AS T2 ON T1.ID = T2.ID WHERE T2.model = 82 AND T2.mpg > 30
|
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,129 | 3,129 |
CREATE TABLE `price`
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
mpg REAL,
model INTEGER,
car_name TEXT,
foreign key ID references priceID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
19,
511
],
"case_2": [
19,
511
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"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,
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,
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,
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,
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,
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,
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,
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
]
}
|
cars
|
How many models of Ford Maverick were produced?
|
Ford Maverick refers to car_name = 'ford maverick'
|
SELECT COUNT(DISTINCT T2.model_year) FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID WHERE T1.car_name = 'ford maverick'
|
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,130 | 3,130 |
CREATE TABLE `data`
(
ID INTEGER
primary key,
model INTEGER,
car_name TEXT,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
model_year INTEGER,
primary key ID, model_year,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 7 |
simple
|
{
"case_1": [
117,
556,
705,
964
],
"case_2": [
117,
556,
705,
964
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"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,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
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,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
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,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
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,
380,
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,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
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,
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,
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,
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,
661,
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,
913,
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,
1069,
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,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
cars
|
Calculate the percentage of cars that belong to the USA.
|
belong to the USA refers to country = 'USA'; percentage = divide(count(ID where country = 'USA'), count(ID)) * 100%
|
SELECT CAST(SUM(CASE WHEN T2.country = 'USA' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM production AS T1 INNER JOIN country AS T2 ON T1.country = T2.origin
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,131 | 3,131 |
CREATE TABLE `country`
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE `production`
(
country INTEGER,
foreign key country references countryorigin
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 12 |
medium
|
{
"case_1": [
1,
226,
560
],
"case_2": [
1,
226,
560
],
"case_3": [
1,
117,
226,
560,
705
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
0,
1,
4,
6,
11,
16,
22,
24,
27,
30,
35,
36,
37,
39,
42,
47,
51,
53,
55,
61,
62,
63,
64,
68,
69,
71,
73,
74,
75,
77,
81,
82,
83,
86,
87,
88,
91,
93,
94,
96,
98,
104,
106,
112,
113,
115,
117,
118,
119,
120,
121,
125,
126,
127,
129,
131,
140,
141,
142,
143,
146,
148,
152,
153,
155,
158,
159,
160,
164,
167,
169,
170,
171,
173,
175,
179,
183,
184,
186,
187,
188,
189,
190,
191,
192,
195,
196,
197,
199,
201,
202,
206,
207,
212,
213,
214,
215,
219,
223,
225,
226,
227,
228,
229,
233,
234,
236,
243,
244,
247,
248,
254,
256,
258,
261,
264,
267,
268,
269,
271,
276,
277,
278,
279,
298,
299,
300,
301,
304,
311,
313,
314,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
354,
356,
358,
360,
363,
364,
365,
370,
373,
374,
375,
378,
379,
381,
382,
383,
384,
391,
392,
393,
394,
398,
401,
402,
403,
406,
409,
411,
412,
415,
416,
417,
423,
424,
426,
427,
436,
438,
444,
445,
448,
450,
451,
452,
453,
454,
458,
460,
462,
464,
465,
467,
469,
470,
471,
473,
476,
477,
478,
479,
483,
484,
485,
486,
487,
488,
490,
493,
500,
504,
505,
509,
510,
514,
515,
516,
517,
518,
519,
520,
526,
528,
532,
535,
536,
537,
538,
540,
544,
547,
548,
550,
552,
558,
559,
560,
563,
564,
566,
571,
573,
575,
579,
580,
581,
582,
595,
596,
597,
606,
608,
609,
611,
612,
613,
620,
623,
627,
628,
630,
632,
633,
634,
638,
640,
641,
645,
646,
649,
650,
654,
658,
659,
662,
663,
665,
666,
668,
669,
671,
672,
676,
681,
682,
686,
687,
688,
690,
694,
695,
696,
701,
705,
706,
710,
712,
714,
717,
721,
723,
727,
733,
734,
735,
736,
739,
740,
743,
744,
745,
747,
749,
750,
752,
753,
756,
760,
762,
768,
769,
772,
776,
777,
778,
779,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
808,
810,
812,
813,
814,
818,
819,
823,
824,
825,
827,
830,
832,
838,
839,
841,
844,
848,
849,
851,
853,
857,
866,
867,
868,
870,
871,
874,
876,
877,
880,
886,
888,
893,
894,
896,
897,
898,
901,
902,
909,
911,
912,
913,
915,
917,
918,
922,
923,
924,
926,
927,
930,
934,
935,
941,
943,
944,
950,
951,
954,
956,
958,
959,
961,
962,
963,
969,
973,
975,
977,
981,
985,
986,
993,
996,
998,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1022,
1023,
1027,
1031,
1037,
1038,
1042,
1043,
1047,
1050,
1051,
1058,
1062,
1064,
1066,
1067,
1068,
1069,
1071,
1072,
1078,
1082,
1084,
1086,
1087,
1092,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1112,
1119,
1121,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1137
]
}
|
cars
|
Calculate the average production rate per year from 1971 to 1980. Among them, name the cars with a weight of fewer than 1800 lbs.
|
from 1971 to 1980 refers to model_year between 1971 and 1980; average production rate per year = divide(count(ID where model_year between 1971 and 1980), 9); car's name refers to car_name; a weight of fewer than 1800 lbs refers to weight < 1800
|
SELECT CAST(COUNT(T1.ID) AS REAL) / 9 FROM production AS T1 INNER JOIN data AS T2 ON T2.ID = T1.ID WHERE T1.model_year BETWEEN 1971 AND 1980 UNION ALL SELECT DISTINCT T2.car_name FROM production AS T1 INNER JOIN data AS T2 ON T2.ID = T1.ID WHERE T1.model_year BETWEEN 1971 AND 1980 AND T2.weight < 1800
|
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,132 | 3,132 |
CREATE TABLE `data`
(
ID INTEGER
primary key,
weight INTEGER,
model INTEGER,
car_name TEXT,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
model_year INTEGER,
primary key ID, model_year,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"UNION",
"CAST",
"ALL",
"COUNT",
"BETWEEN",
"FROM"
] | 22 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
117,
705
],
"case_3": [
1,
19,
117,
226,
560,
705
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
0,
1,
2,
4,
5,
6,
8,
10,
11,
12,
16,
19,
20,
21,
22,
24,
26,
27,
30,
33,
36,
37,
39,
44,
45,
47,
51,
52,
53,
55,
57,
62,
63,
64,
66,
68,
69,
71,
73,
74,
75,
76,
77,
82,
85,
86,
88,
90,
91,
93,
95,
96,
98,
99,
106,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
131,
138,
140,
141,
142,
143,
144,
146,
148,
152,
154,
158,
159,
160,
163,
164,
167,
169,
170,
172,
175,
176,
177,
179,
180,
183,
184,
187,
188,
189,
190,
191,
195,
196,
197,
199,
200,
201,
202,
206,
212,
214,
219,
223,
225,
226,
227,
229,
233,
234,
236,
239,
240,
243,
244,
247,
248,
254,
256,
258,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
282,
296,
299,
300,
301,
304,
311,
314,
315,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
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,
444,
445,
446,
448,
451,
452,
454,
455,
460,
462,
463,
464,
465,
467,
469,
470,
471,
473,
475,
476,
477,
478,
480,
482,
483,
484,
487,
488,
490,
493,
494,
496,
497,
498,
500,
505,
507,
509,
510,
514,
515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
552,
557,
558,
559,
560,
561,
562,
563,
564,
566,
573,
575,
580,
581,
582,
584,
586,
588,
589,
595,
596,
597,
605,
606,
608,
610,
611,
612,
613,
615,
620,
623,
624,
625,
626,
627,
630,
632,
633,
634,
637,
641,
643,
645,
646,
648,
649,
651,
654,
658,
659,
662,
663,
665,
666,
668,
669,
671,
675,
676,
677,
678,
681,
683,
684,
685,
686,
687,
688,
690,
693,
694,
696,
697,
699,
702,
705,
710,
712,
714,
715,
721,
726,
727,
733,
734,
735,
736,
739,
740,
741,
743,
744,
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,
806,
807,
808,
810,
812,
813,
814,
818,
819,
824,
825,
827,
829,
830,
832,
835,
838,
839,
841,
844,
848,
849,
851,
853,
857,
858,
859,
860,
861,
866,
867,
870,
873,
874,
876,
877,
878,
879,
886,
888,
892,
893,
894,
895,
896,
897,
898,
901,
902,
905,
907,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
928,
930,
931,
932,
934,
935,
943,
944,
949,
950,
951,
953,
954,
956,
958,
959,
961,
963,
969,
974,
975,
977,
981,
985,
986,
991,
993,
996,
1000,
1001,
1005,
1006,
1008,
1010,
1013,
1015,
1017,
1019,
1022,
1023,
1027,
1031,
1037,
1039,
1042,
1043,
1044,
1046,
1047,
1050,
1051,
1058,
1061,
1062,
1063,
1064,
1067,
1068,
1071,
1072,
1078,
1080,
1082,
1084,
1086,
1087,
1092,
1094,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1112,
1115,
1119,
1121,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1136,
1137
]
}
|
cars
|
What is the average price of model 70 cars?
|
model 70 refers to model = 70; average price = avg(price) where model = 70
|
SELECT AVG(T2.price) FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.model = 70
|
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,133 | 3,133 |
CREATE TABLE `price`
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
model INTEGER,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"AVG",
"FROM"
] | 7 |
simple
|
{
"case_1": [
19,
511
],
"case_2": [
19,
511
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"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,
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,
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,
781,
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,
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1128,
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1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
cars
|
What is the price of Chevrolet Vega 2300?
|
Chevrolet Vega 2300 refers to car_name = 'chevrolet vega 2300'
|
SELECT T2.price FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.car_name = 'chevrolet vega 2300'
|
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,134 | 3,134 |
CREATE TABLE `price`
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
car_name TEXT,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
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19,
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1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
cars
|
Which country does Chevy C20 come from?
|
Chevy C20 refers to car_name = 'chevy c20'
|
SELECT T3.country FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T1.car_name = 'chevy c20'
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,135 | 3,135 |
CREATE TABLE `country`
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
car_name TEXT,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
country INTEGER,
primary key ID,
foreign key country references countryorigin,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
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1,
19,
117,
226,
511,
556,
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705,
863,
964
],
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1,
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117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
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1,
2,
3,
4,
5,
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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,
781,
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,
913,
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,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
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,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
cars
|
List the price of Ford cars from model 1970 to 1980.
|
Ford cars refers to car_name LIKE 'ford%'; from model 1970 to 1980 refers to model_year BETWEEN 1970 AND 1980
|
SELECT DISTINCT T3.price FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN price AS T3 ON T3.ID = T2.ID WHERE T1.car_name LIKE 'ford%' AND T2.model_year BETWEEN 1970 AND 1980
|
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,136 | 3,136 |
CREATE TABLE `price`
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
model INTEGER,
car_name TEXT,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
model_year INTEGER,
primary key ID, model_year,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"AND",
"SELECT",
"LIKE",
"INNER JOIN",
"ON",
"BETWEEN",
"FROM"
] | 13 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"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,
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,
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,
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,
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,
421,
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,
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
]
}
|
cars
|
Which is the most fuel efficient car in 1975?
|
car's name refers to car_name; the most fuel efficient refers to max(mpg); in 1975 refers to model_year = 1975
|
SELECT T1.car_name FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID WHERE T2.model_year = '1975' ORDER BY T1.mpg DESC LIMIT 1
|
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,137 | 3,137 |
CREATE TABLE `data`
(
ID INTEGER
primary key,
mpg REAL,
model INTEGER,
car_name TEXT,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
model_year INTEGER,
primary key ID, model_year,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 9 |
simple
|
{
"case_1": [
117,
556,
705,
964
],
"case_2": [
117,
556,
705,
964
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
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,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
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,
174,
175,
176,
177,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
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,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
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,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
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,
534,
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,
576,
577,
578,
579,
580,
581,
582,
583,
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,
619,
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,
664,
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,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
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,
815,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
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,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
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,
1030,
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,
1076,
1077,
1078,
1080,
1082,
1083,
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,
1139,
1141
]
}
|
cars
|
Which car consumes fuel the most and has the highest price?
|
consumes fuel the most refers to min(mpg); has the highest price refers to max(price)
|
SELECT T1.car_name FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID ORDER BY T1.mpg DESC, T2.price DESC LIMIT 1
|
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,138 | 3,138 |
CREATE TABLE `price`
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
mpg REAL,
car_name TEXT,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 10 |
simple
|
{
"case_1": [
19,
511
],
"case_2": [
19,
511
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
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,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
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,
174,
175,
176,
177,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
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,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
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,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
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,
534,
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,
576,
577,
578,
579,
580,
581,
582,
583,
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,
619,
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,
664,
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,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
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,
815,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
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,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
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,
1030,
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,
1076,
1077,
1078,
1080,
1082,
1083,
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,
1139,
1141
]
}
|
cars
|
How many American cars have an acceleration time of less than 12 seconds?
|
American car refers to country = 'USA'; an acceleration time of less than 12 seconds refers to acceleration < 12
|
SELECT COUNT(*) FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T3.country = 'USA' AND T1.acceleration < 12
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,139 | 3,139 |
CREATE TABLE `country`
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
acceleration REAL,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
country INTEGER,
primary key ID,
foreign key country references countryorigin,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"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,
35,
36,
37,
39,
40,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
109,
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,
192,
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,
230,
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,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
294,
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,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
399,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
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445,
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447,
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449,
450,
451,
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466,
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486,
487,
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498,
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500,
501,
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504,
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510,
511,
512,
514,
515,
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517,
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,
554,
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,
591,
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596,
597,
600,
601,
602,
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606,
607,
608,
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610,
611,
612,
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614,
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624,
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660,
661,
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663,
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670,
671,
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677,
678,
680,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
692,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
707,
710,
711,
712,
714,
715,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
730,
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,
820,
822,
823,
824,
825,
827,
828,
829,
830,
831,
832,
833,
834,
835,
837,
838,
839,
841,
843,
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,
903,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
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944,
945,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
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963,
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965,
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967,
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970,
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977,
980,
981,
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988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
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,
1059,
1060,
1061,
1062,
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1126,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
cars
|
How many Japanese cars weigh more than 2000 lbs?
|
Japanese car refers to country = 'Japan'; weigh more than 2000 lbs refers to weight > 2000
|
SELECT COUNT(*) FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T3.country = 'Japan' AND T1.weight > 2000
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,140 | 3,140 |
CREATE TABLE `country`
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
weight INTEGER,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
country INTEGER,
primary key ID,
foreign key country references countryorigin,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 11 |
medium
|
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912,
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915,
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925,
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927,
928,
930,
931,
932,
934,
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936,
937,
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940,
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944,
945,
949,
950,
951,
952,
953,
954,
956,
958,
959,
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962,
963,
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965,
966,
967,
969,
970,
971,
973,
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975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
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,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1079,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1126,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
cars
|
List the name of the most expensive car.
|
car's name refers to car_name; the most expensive refers to max(price)
|
SELECT T1.car_name FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID ORDER BY T2.price DESC LIMIT 1
|
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,141 | 3,141 |
CREATE TABLE `price`
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
car_name TEXT,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 9 |
simple
|
{
"case_1": [
19,
511
],
"case_2": [
19,
511
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
0,
1,
3,
4,
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6,
7,
8,
10,
11,
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13,
14,
15,
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17,
18,
19,
20,
21,
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127,
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152,
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155,
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160,
162,
163,
164,
165,
166,
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169,
170,
171,
172,
173,
174,
175,
176,
177,
179,
180,
181,
183,
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185,
186,
187,
188,
189,
190,
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194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
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212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
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229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
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268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
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295,
296,
297,
298,
299,
300,
301,
302,
304,
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,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
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390,
391,
392,
393,
394,
395,
398,
400,
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515,
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528,
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535,
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708,
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711,
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714,
715,
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719,
720,
721,
722,
723,
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725,
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1132,
1133,
1134,
1135,
1136,
1137,
1139,
1141
]
}
|
cars
|
What years did the Buick Skylark 320 get in production?
|
year refers to model_year; Buick Skylark 320 refers to car_name = 'buick skylark 320'
|
SELECT T2.model_year FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID WHERE T1.car_name = 'buick skylark 320'
|
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,142 | 3,142 |
CREATE TABLE `data`
(
ID INTEGER
primary key,
model INTEGER,
car_name TEXT,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
model_year INTEGER,
primary key ID, model_year,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
117,
556,
705,
964
],
"case_2": [
117,
556,
705,
964
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"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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26,
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29,
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35,
36,
37,
39,
41,
42,
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45,
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48,
49,
51,
52,
53,
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58,
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61,
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153,
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263,
264,
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266,
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269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
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,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
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,
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432,
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435,
436,
437,
438,
440,
441,
443,
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445,
446,
447,
448,
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454,
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459,
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475,
476,
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479,
480,
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483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
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495,
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497,
498,
499,
500,
501,
503,
504,
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506,
507,
508,
509,
510,
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516,
517,
518,
519,
520,
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522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
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538,
539,
540,
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542,
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547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
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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,
653,
654,
655,
657,
658,
659,
660,
661,
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,
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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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772,
773,
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775,
776,
777,
778,
779,
780,
781,
782,
783,
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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,
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845,
846,
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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,
913,
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,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
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,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
cars
|
Which country produced the most expensive car in 1970?
|
the most expensive refers to max(price); in 1970 refers to model_year = 1970
|
SELECT T3.country FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country INNER JOIN price AS T4 ON T4.ID = T1.ID WHERE T2.model_year = 1970 ORDER BY T4.price DESC LIMIT 1
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,143 | 3,143 |
CREATE TABLE `country`
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE `price`
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
model INTEGER,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key ID, model_year,
foreign key country references countryorigin,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 15 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
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10,
11,
12,
13,
14,
15,
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17,
18,
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20,
21,
22,
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24,
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27,
28,
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34,
36,
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38,
39,
41,
42,
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46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
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65,
66,
68,
69,
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72,
73,
74,
75,
76,
77,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
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,
174,
175,
176,
177,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
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,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
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,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
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,
534,
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,
576,
577,
578,
579,
580,
581,
582,
583,
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,
619,
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,
664,
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,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
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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,
815,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
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,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
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,
1030,
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,
1076,
1077,
1078,
1080,
1082,
1083,
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,
1139,
1141
]
}
|
cars
|
How many cars with horsepower greater than 200 were produced in 1975?
|
horsepower greater than 200 refers to horsepower > 200; in 1975 refers to model_year = 1975
|
SELECT COUNT(T2.model_year) FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID WHERE T1.horsepower > 200 AND T2.model_year = 1975
|
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,144 | 3,144 |
CREATE TABLE `data`
(
ID INTEGER
primary key,
horsepower INTEGER,
model INTEGER,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
model_year INTEGER,
primary key ID, model_year,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
117,
556,
705,
964
],
"case_2": [
117,
556,
705,
964
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"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,
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33,
34,
35,
36,
37,
39,
40,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
109,
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,
192,
194,
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196,
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199,
200,
201,
202,
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207,
211,
212,
213,
214,
217,
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219,
220,
221,
223,
225,
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227,
228,
229,
230,
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,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
294,
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,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
399,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
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454,
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456,
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458,
459,
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462,
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464,
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466,
467,
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470,
471,
472,
473,
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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,
509,
510,
511,
512,
514,
515,
516,
517,
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,
554,
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,
591,
592,
593,
594,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
618,
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,
656,
657,
658,
659,
660,
661,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
680,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
692,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
707,
710,
711,
712,
714,
715,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
730,
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,
820,
822,
823,
824,
825,
827,
828,
829,
830,
831,
832,
833,
834,
835,
837,
838,
839,
841,
843,
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,
903,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
945,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
965,
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,
1014,
1015,
1016,
1017,
1019,
1020,
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,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1079,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1126,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
cars
|
Calculate the percentage of American cars among all cars.
|
American car refers to country = 'USA'; percentage = divide(count(ID where country = 'USA'), count(ID)) * 100%
|
SELECT CAST(SUM(CASE WHEN T3.country = 'USA' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,145 | 3,145 |
CREATE TABLE `country`
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
country INTEGER,
primary key ID,
foreign key country references countryorigin,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 15 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
1,
117,
226,
560,
705
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_5": [
0,
1,
4,
6,
11,
16,
22,
24,
27,
30,
35,
36,
37,
39,
42,
47,
51,
53,
55,
61,
62,
63,
64,
68,
69,
71,
73,
74,
75,
77,
81,
82,
83,
86,
87,
88,
91,
93,
94,
96,
98,
104,
106,
112,
113,
115,
117,
118,
119,
120,
121,
125,
126,
127,
129,
131,
140,
141,
142,
143,
146,
148,
152,
153,
155,
158,
159,
160,
164,
167,
169,
170,
171,
173,
175,
179,
183,
184,
186,
187,
188,
189,
190,
191,
192,
195,
196,
197,
199,
201,
202,
206,
207,
212,
213,
214,
215,
219,
223,
225,
226,
227,
228,
229,
233,
234,
236,
243,
244,
247,
248,
254,
256,
258,
261,
264,
267,
268,
269,
271,
276,
277,
278,
279,
298,
299,
300,
301,
304,
311,
313,
314,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
354,
356,
358,
360,
363,
364,
365,
370,
373,
374,
375,
378,
379,
381,
382,
383,
384,
391,
392,
393,
394,
398,
401,
402,
403,
406,
409,
411,
412,
415,
416,
417,
423,
424,
426,
427,
436,
438,
444,
445,
448,
450,
451,
452,
453,
454,
458,
460,
462,
464,
465,
467,
469,
470,
471,
473,
476,
477,
478,
479,
483,
484,
485,
486,
487,
488,
490,
493,
500,
504,
505,
509,
510,
514,
515,
516,
517,
518,
519,
520,
526,
528,
532,
535,
536,
537,
538,
540,
544,
547,
548,
550,
552,
558,
559,
560,
563,
564,
566,
571,
573,
575,
579,
580,
581,
582,
595,
596,
597,
606,
608,
609,
611,
612,
613,
620,
623,
627,
628,
630,
632,
633,
634,
638,
640,
641,
645,
646,
649,
650,
654,
658,
659,
662,
663,
665,
666,
668,
669,
671,
672,
676,
681,
682,
686,
687,
688,
690,
694,
695,
696,
701,
705,
706,
710,
712,
714,
717,
721,
723,
727,
733,
734,
735,
736,
739,
740,
743,
744,
745,
747,
749,
750,
752,
753,
756,
760,
762,
768,
769,
772,
776,
777,
778,
779,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
808,
810,
812,
813,
814,
818,
819,
823,
824,
825,
827,
830,
832,
838,
839,
841,
844,
848,
849,
851,
853,
857,
866,
867,
868,
870,
871,
874,
876,
877,
880,
886,
888,
893,
894,
896,
897,
898,
901,
902,
909,
911,
912,
913,
915,
917,
918,
922,
923,
924,
926,
927,
930,
934,
935,
941,
943,
944,
950,
951,
954,
956,
958,
959,
961,
962,
963,
969,
973,
975,
977,
981,
985,
986,
993,
996,
998,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1022,
1023,
1027,
1031,
1037,
1038,
1042,
1043,
1047,
1050,
1051,
1058,
1062,
1064,
1066,
1067,
1068,
1069,
1071,
1072,
1078,
1082,
1084,
1086,
1087,
1092,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1112,
1119,
1121,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1137
]
}
|
cars
|
What is the average weight of Japanese cars with 4 cylinders that were produced from 1975 to 1980?
|
Japanese car refers to country = 'Japan'; with 4 cylinders refers to cylinders = 4; produced from 1975 to 1980 refers to model_year BETWEEN 1975 AND 1980; average weight = avg(weight)
|
SELECT AVG(T1.weight) FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T2.model_year BETWEEN 1975 AND 1980 AND T1.cylinders = 4 AND T3.country = 'Japan'
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
CREATE TABLE country
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE price
(
ID INTEGER
primary key,
price REAL
)
CREATE TABLE data
(
ID INTEGER
primary key,
mpg REAL,
cylinders INTEGER,
displacement REAL,
horsepower INTEGER,
weight INTEGER,
acceleration REAL,
model INTEGER,
car_name TEXT,
foreign key (ID) references price(ID)
)
CREATE TABLE production
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key (ID, model_year),
foreign key (country) references country(origin),
foreign key (ID) references data(ID),
foreign key (ID) references price(ID)
)
|
na
| 3,146 | 3,146 |
CREATE TABLE `country`
(
origin INTEGER
primary key,
country TEXT
)
CREATE TABLE `data`
(
ID INTEGER
primary key,
cylinders INTEGER,
weight INTEGER,
model INTEGER,
foreign key ID references priceID
)
CREATE TABLE `production`
(
ID INTEGER,
model_year INTEGER,
country INTEGER,
primary key ID, model_year,
foreign key country references countryorigin,
foreign key ID references dataID,
foreign key ID references priceID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"AVG",
"BETWEEN",
"FROM"
] | 14 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"case_4": [
1,
19,
117,
226,
511,
556,
560,
705,
863,
964
],
"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,
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,
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,
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,
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,
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,
864,
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,
1081,
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
]
}
|
donor
|
What is the total amount of donations in 2012.
|
total amount of donations refers to sum(donation_total); 2012 refers to donation_timestamp LIKE'2012%'
|
SELECT SUM(donation_total) FROM donations WHERE donation_timestamp LIKE '2012%'
|
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,147 | 3,147 |
CREATE TABLE `donations`
(
donation_timestamp DATETIME,
donation_total REAL
)
|
[
"LIKE",
"SUM",
"SELECT",
"FROM"
] | 4 |
simple
|
{
"case_1": [
1070
],
"case_2": [
1070
],
"case_3": [
120,
179,
453,
796,
875,
980,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
3,
6,
20,
24,
26,
35,
38,
39,
42,
54,
57,
59,
61,
64,
71,
77,
81,
82,
83,
87,
90,
93,
94,
104,
112,
113,
114,
120,
122,
126,
127,
129,
131,
136,
141,
146,
148,
153,
155,
168,
169,
173,
179,
184,
186,
189,
191,
192,
195,
201,
202,
204,
205,
207,
212,
213,
215,
219,
223,
225,
226,
228,
234,
236,
240,
245,
247,
248,
254,
258,
261,
263,
264,
271,
277,
279,
285,
300,
304,
313,
315,
316,
317,
323,
335,
341,
347,
348,
350,
356,
360,
363,
365,
373,
377,
378,
379,
381,
383,
397,
402,
403,
407,
409,
412,
415,
421,
427,
430,
433,
438,
444,
448,
450,
452,
453,
470,
476,
483,
486,
487,
488,
500,
504,
506,
510,
517,
518,
525,
527,
532,
535,
537,
540,
546,
547,
550,
557,
563,
564,
571,
575,
579,
580,
581,
591,
597,
598,
609,
612,
623,
624,
628,
629,
630,
638,
640,
650,
658,
662,
666,
675,
676,
682,
686,
690,
695,
701,
709,
710,
717,
723,
738,
740,
743,
744,
745,
747,
749,
750,
753,
754,
756,
762,
774,
776,
777,
787,
788,
795,
796,
798,
800,
802,
804,
808,
810,
813,
823,
825,
827,
828,
832,
841,
844,
848,
850,
858,
865,
868,
870,
871,
872,
874,
875,
879,
894,
896,
907,
909,
912,
913,
917,
918,
922,
924,
929,
930,
939,
943,
944,
948,
958,
959,
962,
973,
979,
980,
987,
998,
1000,
1008,
1012,
1018,
1019,
1022,
1023,
1027,
1031,
1038,
1042,
1054,
1057,
1064,
1068,
1069,
1070,
1078,
1082,
1087,
1092,
1093,
1096,
1098,
1100,
1101,
1110,
1111,
1117,
1121,
1128,
1135
]
}
|
donor
|
When was the highest amount of donated? How much was the amount?
|
when refers donation_timestamp; the highest amount refers to max(donation_total)
|
SELECT donation_timestamp, donation_total FROM donations WHERE donation_total = ( SELECT donation_total FROM donations ORDER BY donation_total DESC LIMIT 1 )
|
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,148 | 3,148 |
CREATE TABLE `donations`
(
donation_timestamp DATETIME,
donation_total REAL
)
|
[
"SELECT",
"ORDER BY",
"LIMIT",
"FROM",
"DESC"
] | 7 |
simple
|
{
"case_1": [
836
],
"case_2": [
836
],
"case_3": [
55,
179,
836
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"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
]
}
|
donor
|
Calculate the total amount of donations made in 2011 for an honoree with payment via campaign page.
|
total amount refers to sum(donation_total); 2011 refers to donation_timestamp LIKE'2011%'; honoree refers to for_honoree = 't'; via campaign page refers to via_giving_page = 't'
|
SELECT SUM(donation_total) FROM donations WHERE donation_timestamp LIKE '2011%' AND via_giving_page = 't' AND for_honoree = 't'
|
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,149 | 3,149 |
CREATE TABLE `donations`
(
donation_timestamp DATETIME,
donation_total REAL,
via_giving_page TEXT,
for_honoree TEXT
)
|
[
"AND",
"SELECT",
"SUM",
"LIKE",
"FROM"
] | 6 |
simple
|
{
"case_1": [
1070
],
"case_2": [
1070
],
"case_3": [
120,
179,
453,
796,
875,
980,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
2,
3,
4,
5,
6,
8,
10,
12,
19,
20,
21,
22,
24,
26,
30,
32,
33,
35,
37,
38,
39,
40,
42,
43,
44,
45,
47,
50,
51,
52,
53,
54,
56,
57,
59,
61,
63,
64,
66,
67,
68,
69,
71,
73,
74,
75,
76,
77,
79,
81,
82,
83,
85,
87,
88,
90,
93,
94,
95,
96,
98,
99,
100,
104,
109,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
122,
125,
126,
127,
128,
129,
131,
136,
138,
141,
142,
143,
144,
146,
148,
152,
153,
154,
155,
158,
160,
163,
164,
168,
169,
170,
172,
173,
175,
176,
177,
179,
180,
183,
184,
186,
187,
189,
191,
192,
195,
197,
200,
201,
202,
204,
205,
207,
212,
213,
214,
215,
219,
223,
225,
226,
227,
228,
230,
234,
236,
239,
240,
244,
245,
247,
248,
254,
255,
256,
258,
259,
261,
262,
263,
264,
265,
266,
267,
268,
270,
271,
272,
275,
276,
277,
278,
279,
282,
285,
294,
296,
300,
301,
304,
305,
313,
314,
315,
316,
317,
319,
323,
325,
330,
335,
339,
341,
347,
348,
350,
356,
360,
361,
362,
363,
365,
367,
368,
370,
373,
374,
376,
377,
378,
379,
381,
382,
383,
385,
391,
393,
395,
397,
398,
399,
402,
403,
405,
406,
407,
408,
409,
412,
413,
414,
415,
416,
417,
418,
419,
421,
424,
425,
426,
427,
428,
430,
433,
436,
437,
438,
439,
440,
444,
446,
448,
450,
451,
452,
453,
455,
463,
464,
469,
470,
475,
476,
477,
480,
482,
483,
486,
487,
488,
490,
492,
493,
494,
496,
497,
498,
500,
504,
506,
507,
510,
512,
514,
515,
516,
517,
518,
519,
520,
522,
524,
525,
526,
527,
528,
529,
530,
532,
533,
535,
537,
539,
540,
541,
544,
546,
547,
550,
551,
554,
557,
558,
559,
561,
562,
563,
564,
571,
575,
579,
580,
581,
582,
584,
586,
588,
589,
591,
594,
595,
597,
598,
599,
601,
605,
608,
609,
610,
612,
613,
615,
618,
622,
623,
624,
625,
626,
627,
628,
629,
630,
632,
633,
637,
638,
640,
641,
643,
648,
650,
651,
656,
658,
662,
663,
666,
667,
668,
671,
675,
676,
677,
678,
679,
680,
682,
683,
684,
685,
686,
687,
690,
692,
693,
695,
697,
699,
701,
702,
707,
709,
710,
712,
714,
715,
716,
717,
718,
719,
723,
726,
727,
730,
734,
735,
738,
739,
740,
741,
743,
744,
745,
746,
747,
749,
750,
753,
754,
756,
758,
760,
762,
763,
765,
767,
768,
773,
774,
775,
776,
777,
780,
783,
785,
787,
788,
793,
794,
795,
796,
797,
798,
799,
800,
802,
804,
806,
807,
808,
810,
813,
814,
817,
819,
820,
823,
824,
825,
827,
828,
829,
830,
831,
832,
835,
838,
840,
841,
843,
844,
848,
849,
850,
851,
853,
855,
858,
859,
860,
861,
864,
865,
867,
868,
870,
871,
872,
873,
874,
875,
877,
878,
879,
886,
888,
892,
894,
895,
896,
902,
903,
905,
907,
909,
912,
913,
917,
918,
920,
922,
923,
924,
928,
929,
930,
931,
932,
935,
939,
943,
944,
945,
948,
949,
953,
954,
956,
958,
959,
961,
962,
965,
969,
973,
974,
979,
980,
985,
986,
987,
991,
996,
998,
1000,
1001,
1008,
1009,
1012,
1014,
1017,
1018,
1019,
1020,
1022,
1023,
1027,
1031,
1038,
1039,
1042,
1044,
1046,
1054,
1057,
1058,
1059,
1061,
1063,
1064,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1078,
1079,
1080,
1081,
1082,
1084,
1086,
1087,
1092,
1093,
1096,
1098,
1100,
1101,
1103,
1104,
1105,
1109,
1110,
1111,
1115,
1117,
1119,
1121,
1123,
1126,
1128,
1131,
1135,
1136
]
}
|
donor
|
For each donation not from a teacher, state the donor account id and calculate the percentage of donation given for optional support.
|
not from a teacher refers to is_teacher_acct = 'f'; donor account id refers to donor_acctid; percentage of donation = divide(donation_optional_support, donation_total)*100%
|
SELECT donor_acctid, donation_optional_support / donation_total FROM donations WHERE is_teacher_acct = 'f'
|
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,150 | 3,150 |
CREATE TABLE `donations`
(
donor_acctid TEXT,
is_teacher_acct TEXT,
donation_optional_support REAL
)
|
[
"SELECT",
"FROM"
] | 2 |
simple
|
{
"case_1": [
836,
1070
],
"case_2": [
836,
1070
],
"case_3": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
1,
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275,
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278,
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280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
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380,
381,
382,
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385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
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400,
401,
402,
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411,
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414,
415,
416,
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478,
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480,
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485,
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548,
549,
550,
551,
552,
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555,
556,
557,
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559,
560,
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562,
563,
564,
565,
566,
567,
568,
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570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
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584,
585,
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587,
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590,
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596,
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610,
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650,
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652,
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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,
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707,
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709,
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711,
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730,
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745,
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750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
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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
]
}
|
donor
|
Name all the project titles whereby project materials are intended mainly for literary.
|
intended mainly for literary refers to primary_focus_subject = 'Literacy'
|
SELECT T1.title FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.primary_focus_subject = 'Literacy'
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,151 | 3,151 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
primary_focus_subject TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
875
],
"case_2": [
875
],
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]
}
|
donor
|
Name the project titles meant for school whereby 65% of the students are on reduced lunch.
|
65% of the students are on reduced lunch refers to poverty_level = 'highest poverty'
|
SELECT T1.title FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.poverty_level LIKE 'highest%'
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,152 | 3,152 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
poverty_level TEXT
)
|
[
"AS",
"SELECT",
"LIKE",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
875
],
"case_2": [
875
],
"case_3": [
55,
120,
179,
387,
796,
875,
980,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
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1,
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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,
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,
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966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
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986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
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1016,
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1023,
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1038,
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1068,
1070,
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1072,
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1080,
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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
]
}
|
donor
|
For project titled 'Toot Your Flute!', what is the main subject of the project materials intended for? Name the other projects with the similar focus.
|
main subject refers to primary_focus_subject
|
SELECT T2.primary_focus_subject FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.title = 'Toot Your Flute!'
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,153 | 3,153 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
primary_focus_subject TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
875
],
"case_2": [
875
],
"case_3": [
55,
120,
179,
387,
453,
796,
875,
980,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
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924,
925,
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930,
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967,
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970,
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991,
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996,
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1027,
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1031,
1033,
1034,
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1038,
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1051,
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1061,
1062,
1063,
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1080,
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1084,
1085,
1086,
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1089,
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1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
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1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
donor
|
Name the project titles created by teacher who acquired a doctor degree.
|
teacher who acquired a doctor degree refers to teacher_prefix = 'Dr.'
|
SELECT T1.title FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.donation_message LIKE 'Donation on behalf of Matt Carpenter because I''m a strong believer in education.'
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,154 | 3,154 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `donations`
(
projectid TEXT,
donation_message TEXT,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"on",
"LIKE",
"INNER JOIN",
"ON",
"in",
"FROM"
] | 9 |
simple
|
{
"case_1": [
387,
980
],
"case_2": [
387,
796,
980
],
"case_3": [
55,
120,
179,
387,
796,
875,
980
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
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27,
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57,
58,
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62,
63,
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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,
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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,
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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,
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498,
499,
500,
501,
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507,
509,
511,
514,
515,
516,
518,
519,
520,
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522,
523,
524,
526,
528,
529,
530,
532,
533,
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536,
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538,
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548,
550,
552,
556,
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562,
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565,
566,
567,
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570,
571,
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866,
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871,
873,
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875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
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898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
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922,
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924,
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999,
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1003,
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1118,
1119,
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1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
donor
|
What is the project in which 320 students will be impacted if the project is funded? Name the project and state the project cost.
|
320 students will be impacted refers to students_reached = 320; name the project refers to title; project cost refers tp total_price_excluding_optional_support
|
SELECT T1.title, T2.total_price_excluding_optional_support FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.students_reached = 320
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,155 | 3,155 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
total_price_excluding_optional_support REAL,
students_reached INTEGER
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
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875
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387,
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967,
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977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
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,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
donor
|
For all donors from Texas City, list their donation message and name of the project they donated to.
|
from Texas City refers to donor_city = 'Texas City'; name of the project refers title
|
SELECT T2.donation_message, T1.title FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.donor_city = 'Texas City'
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,156 | 3,156 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `donations`
(
projectid TEXT,
donor_city TEXT,
donation_message TEXT,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
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387,
980
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}
|
donor
|
Name the vendors who provide resources for project 'Lights, Camera, Action!'. List all the item names and unit price for each.
|
project 'Lights, Camera, Action!' refers to title = 'Lights, Camera, Action!'
|
SELECT T1.vendor_name, T1.item_name, T1.item_unit_price FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN essays AS T3 ON T2.projectid = T3.projectid WHERE T3.title = 'Lights, Camera, Action!'
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,157 | 3,157 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key
)
CREATE TABLE `resources`
(
projectid TEXT,
vendor_name TEXT,
item_name TEXT,
item_unit_price REAL,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
55,
120,
179,
387,
453,
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875,
980,
1070
],
"case_4": [
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836,
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906,
980,
1070
],
"case_5": [
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1133,
1134,
1135,
1136,
1137
]
}
|
donor
|
How much donations have been collected for project 'Whistle While We Work!'?
|
donations collected refers to sum(donation_to_project); project 'Whistle While We Work!' refers to title = 'Whistle While We Work!'
|
SELECT SUM(T2.donation_to_project) FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.title = 'Whistle While We Work!'
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,158 | 3,158 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `donations`
(
projectid TEXT,
donation_to_project REAL,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"SUM",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
387,
980
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387,
796,
980
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"case_3": [
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453,
796,
875,
980
],
"case_4": [
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453,
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906,
980,
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],
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1136,
1137
]
}
|
donor
|
Name and describe all projects created by New York teachers.
|
project name refers to title; describe refers to short_description; New York teachers refers to teacher_ny_teaching_fellow = 't'
|
SELECT T1.title, T1.short_description FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.teacher_ny_teaching_fellow = 't'
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,159 | 3,159 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
short_description TEXT,
essay TEXT
)
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
teacher_ny_teaching_fellow TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
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}
|
donor
|
If funded, which are the projects that could impact at least 600 students for a school with moderate level of poverty? Name the projects and state the project cost.
|
impact at least 600 students refers to students_reached > = 600; moderate level of poverty refers to poverty_level = 'moderate poverty'; project name refers to title; project cost refers to total_price_excluding_optional_support
|
SELECT DISTINCT T2.title, T1.total_price_excluding_optional_support FROM projects AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid WHERE T1.students_reached >= 600 AND T1.poverty_level LIKE 'moderate poverty'
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,160 | 3,160 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
poverty_level TEXT,
total_price_excluding_optional_support REAL,
students_reached INTEGER
)
|
[
"AS",
"AND",
"SELECT",
"LIKE",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
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841,
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846,
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851,
852,
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859,
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970,
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996,
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1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
donor
|
From the total amount of donation to projects, what is the percentage of the amount is for school projects located in the rural area?
|
located in the rural area refers to school_metro = 'rural'; percentage = divide(sum(donation_to_project), sum(donation_to_project where school_metro = 'rural'))*100%
|
SELECT CAST(SUM(CASE WHEN T2.school_metro = 'rural' THEN T1.donation_to_project ELSE 0 END) AS REAL) * 100 / SUM(donation_to_project) FROM donations AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,161 | 3,161 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
school_metro TEXT
)
CREATE TABLE `donations`
(
projectid TEXT,
donation_to_project REAL,
foreign key projectid references projectsprojectid
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"INNER JOIN",
"ON",
"CAST",
"FROM"
] | 12 |
medium
|
{
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120
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120
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"case_5": [
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1124,
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1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
donor
|
Name the project that costs the most. How much has been collected from donation and what is the percentage amount still lacking?
|
project name refers to title; costs the most refers to max(total_price_excluding_optional_support); amount collected from donation refers to sum(donation_to_project); percentage amount refers to divide(subtract(total_price_excluding_optional_support, sum(donation_to_project)), sum(donation_to_project))*100%
|
SELECT T1.title, SUM(T3.donation_to_project), CAST((T2.total_price_excluding_optional_support - SUM(T3.donation_to_project)) AS REAL) * 100 / SUM(T3.donation_to_project) FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN donations AS T3 ON T2.projectid = T3.projectid ORDER BY T2.total_price_excluding_optional_support DESC LIMIT 1
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,162 | 3,162 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
total_price_excluding_optional_support REAL
)
CREATE TABLE `donations`
(
projectid TEXT,
donation_to_project REAL,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"SUM",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"CAST",
"FROM"
] | 17 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
55,
120,
179,
796
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
1,
6,
10,
11,
16,
20,
24,
29,
36,
39,
42,
49,
55,
59,
62,
64,
69,
71,
73,
75,
77,
81,
83,
86,
89,
93,
94,
106,
112,
113,
119,
120,
121,
125,
127,
129,
138,
141,
148,
150,
152,
153,
155,
159,
162,
163,
167,
169,
173,
179,
184,
186,
187,
188,
189,
191,
195,
199,
200,
201,
202,
206,
207,
212,
213,
219,
225,
226,
228,
229,
233,
234,
236,
239,
247,
248,
254,
261,
262,
264,
267,
275,
278,
279,
281,
285,
286,
300,
304,
309,
311,
313,
314,
316,
317,
319,
320,
322,
323,
324,
329,
334,
335,
336,
341,
342,
345,
347,
349,
353,
356,
360,
363,
364,
365,
373,
375,
378,
379,
381,
383,
385,
394,
395,
402,
403,
406,
409,
411,
412,
415,
427,
428,
429,
434,
435,
438,
444,
445,
448,
450,
451,
452,
454,
460,
462,
469,
470,
476,
478,
482,
483,
486,
487,
488,
495,
497,
500,
505,
518,
530,
532,
535,
536,
537,
538,
540,
542,
547,
548,
550,
552,
560,
563,
564,
566,
567,
571,
575,
578,
579,
580,
581,
584,
586,
590,
592,
595,
597,
609,
611,
612,
620,
621,
623,
625,
626,
628,
630,
634,
637,
638,
640,
645,
650,
654,
657,
658,
659,
662,
665,
666,
669,
676,
681,
682,
686,
688,
690,
691,
695,
701,
710,
717,
723,
733,
735,
740,
744,
745,
747,
750,
752,
753,
759,
760,
762,
768,
772,
776,
777,
778,
787,
788,
790,
796,
800,
802,
803,
808,
810,
813,
818,
823,
825,
827,
830,
832,
841,
848,
850,
851,
861,
866,
868,
870,
871,
874,
876,
886,
889,
891,
893,
894,
896,
898,
901,
909,
911,
912,
918,
922,
924,
926,
927,
929,
934,
943,
944,
950,
951,
953,
954,
956,
958,
959,
962,
963,
966,
967,
970,
973,
975,
977,
981,
985,
987,
994,
1004,
1005,
1006,
1010,
1012,
1013,
1017,
1023,
1025,
1027,
1031,
1034,
1037,
1038,
1047,
1049,
1050,
1051,
1056,
1062,
1064,
1065,
1067,
1068,
1072,
1078,
1082,
1087,
1092,
1094,
1098,
1100,
1124,
1128,
1135,
1137
]
}
|
donor
|
How many schools in the West New York School District have the highest poverty level?
|
the highest poverty level refers to poverty_level = 'highest poverty'
|
SELECT COUNT(poverty_level) FROM projects WHERE school_district = 'West New York School District' AND poverty_level = 'highest poverty'
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,163 | 3,163 |
CREATE TABLE `projects`
(
school_district TEXT,
poverty_level TEXT
)
|
[
"COUNT",
"AND",
"SELECT",
"FROM"
] | 4 |
simple
|
{
"case_1": [
453
],
"case_2": [
453
],
"case_3": [
55,
179,
453,
796,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
1,
2,
4,
5,
6,
8,
9,
10,
11,
12,
13,
15,
16,
19,
20,
21,
22,
24,
25,
26,
27,
28,
30,
32,
33,
35,
36,
37,
38,
39,
40,
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,
98,
99,
100,
106,
108,
109,
111,
112,
113,
115,
116,
117,
118,
119,
121,
124,
125,
126,
127,
128,
129,
131,
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,
229,
230,
233,
234,
239,
240,
243,
244,
247,
252,
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,
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,
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,
490,
492,
493,
494,
496,
497,
498,
500,
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,
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,
618,
620,
622,
624,
625,
626,
627,
629,
630,
632,
633,
634,
637,
641,
643,
645,
646,
648,
649,
651,
654,
656,
658,
659,
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,
696,
697,
698,
699,
702,
703,
705,
707,
712,
714,
715,
716,
718,
719,
721,
726,
727,
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,
806,
807,
808,
810,
811,
812,
813,
814,
817,
818,
819,
820,
821,
824,
825,
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,
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,
926,
927,
928,
930,
931,
932,
934,
935,
941,
942,
943,
944,
945,
949,
950,
951,
953,
954,
956,
958,
960,
961,
963,
965,
968,
969,
972,
974,
975,
976,
977,
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,
1053,
1055,
1057,
1058,
1059,
1061,
1062,
1063,
1064,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1084,
1086,
1087,
1090,
1092,
1094,
1096,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1112,
1113,
1115,
1117,
1119,
1121,
1123,
1124,
1126,
1127,
1128,
1131,
1133,
1134,
1135,
1136,
1137
]
}
|
donor
|
How many donations from teachers were done in the state of Colorado?
|
from teachers refers to is_teacher_acct = 't'; the state of Colorado refers to donor_state = 'CO-Colorado'
|
SELECT COUNT(donationid) FROM donations WHERE is_teacher_acct = 't' AND donor_state = 'CO'
|
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,164 | 3,164 |
CREATE TABLE `donations`
(
donationid TEXT not null
primary key,
donor_state TEXT,
is_teacher_acct TEXT
)
|
[
"COUNT",
"AND",
"SELECT",
"FROM"
] | 4 |
simple
|
{
"case_1": [
1070
],
"case_2": [
1070
],
"case_3": [
55,
179,
453,
796,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
1,
2,
4,
5,
6,
8,
9,
10,
11,
12,
13,
15,
16,
19,
20,
21,
22,
24,
25,
26,
27,
28,
30,
32,
33,
35,
36,
37,
38,
39,
40,
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,
98,
99,
100,
106,
108,
109,
111,
112,
113,
115,
116,
117,
118,
119,
121,
124,
125,
126,
127,
128,
129,
131,
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,
229,
230,
233,
234,
239,
240,
243,
244,
247,
252,
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,
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,
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,
490,
492,
493,
494,
496,
497,
498,
500,
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,
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,
618,
620,
622,
624,
625,
626,
627,
629,
630,
632,
633,
634,
637,
641,
643,
645,
646,
648,
649,
651,
654,
656,
658,
659,
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,
696,
697,
698,
699,
702,
703,
705,
707,
712,
714,
715,
716,
718,
719,
721,
726,
727,
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,
806,
807,
808,
810,
811,
812,
813,
814,
817,
818,
819,
820,
821,
824,
825,
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,
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,
926,
927,
928,
930,
931,
932,
934,
935,
941,
942,
943,
944,
945,
949,
950,
951,
953,
954,
956,
958,
960,
961,
963,
965,
968,
969,
972,
974,
975,
976,
977,
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,
1053,
1055,
1057,
1058,
1059,
1061,
1062,
1063,
1064,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1084,
1086,
1087,
1090,
1092,
1094,
1096,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1112,
1113,
1115,
1117,
1119,
1121,
1123,
1124,
1126,
1127,
1128,
1131,
1133,
1134,
1135,
1136,
1137
]
}
|
donor
|
Which project have the highest total price including optional support? Indicate the project id.
|
highest total price including optional support refers to max(total_price_including_optional_support)
|
SELECT projectid FROM projects ORDER BY total_price_including_optional_support DESC LIMIT 1
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,165 | 3,165 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
total_price_including_optional_support REAL
)
|
[
"SELECT",
"ORDER BY",
"LIMIT",
"FROM",
"DESC"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
55,
179,
836
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"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
]
}
|
donor
|
Which state have the highest number of PayPal donations for an honoree whose portion of a donation included corporate sponsored giftcard?
|
which state refers to donor_state; highest number refers to max(count(donor_state)); PayPal donations refers to payment_method = 'paypal'; for an honoree refers to for_honoree = 't'; included corporate sponsored giftcard refers to payment_included_campaign_gift_card = 't'
|
SELECT DISTINCT donor_state FROM donations WHERE for_honoree = 't' AND payment_included_campaign_gift_card = 't' AND payment_method = 'paypal' AND donor_state = ( SELECT donor_state FROM donations GROUP BY donor_state ORDER BY SUM(donation_total) DESC LIMIT 1 )
|
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,166 | 3,166 |
CREATE TABLE `donations`
(
donor_state TEXT,
donation_total REAL,
payment_method TEXT,
payment_included_campaign_gift_card TEXT,
for_honoree TEXT
)
|
[
"GROUP BY",
"AND",
"SELECT",
"SUM",
"ORDER BY",
"LIMIT",
"DESC",
"FROM"
] | 12 |
medium
|
{
"case_1": [
-1
],
"case_2": [
836
],
"case_3": [
55,
179,
836
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"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,
121,
125,
133,
138,
159,
162,
163,
167,
169,
173,
174,
179,
181,
185,
187,
188,
199,
202,
206,
208,
213,
229,
233,
247,
252,
262,
275,
278,
281,
285,
286,
291,
309,
311,
313,
314,
319,
320,
324,
329,
334,
336,
337,
341,
345,
348,
349,
352,
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,
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,
719,
732,
733,
735,
748,
752,
759,
760,
768,
778,
790,
810,
815,
818,
823,
827,
830,
836,
851,
861,
866,
869,
876,
886,
889,
893,
901,
911,
918,
927,
929,
934,
946,
950,
951,
954,
956,
962,
963,
966,
967,
970,
972,
973,
975,
977,
981,
983,
987,
994,
1004,
1005,
1006,
1010,
1013,
1017,
1025,
1030,
1034,
1037,
1038,
1047,
1049,
1050,
1051,
1056,
1057,
1067,
1068,
1076,
1077,
1083,
1094,
1124,
1137,
1139,
1141
]
}
|
donor
|
Who is the largest donor by amount? Give the donation id and the total amount of the donation.
|
largest donor by amount refers to max(donation_total); total amount of the donation refers to donation_total
|
SELECT donationid, donation_total FROM donations ORDER BY donation_total DESC LIMIT 1
|
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,167 | 3,167 |
CREATE TABLE `donations`
(
donationid TEXT not null
primary key,
donation_total REAL
)
|
[
"SELECT",
"ORDER BY",
"LIMIT",
"FROM",
"DESC"
] | 5 |
simple
|
{
"case_1": [
836
],
"case_2": [
836
],
"case_3": [
55,
179,
836
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
1,
10,
11,
13,
15,
17,
20,
28,
29,
36,
38,
43,
49,
55,
59,
62,
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89,
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110,
121,
125,
133,
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150,
159,
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252,
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291,
309,
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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,
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530,
532,
534,
536,
538,
542,
548,
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555,
560,
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567,
576,
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611,
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954,
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1056,
1057,
1065,
1067,
1068,
1075,
1076,
1077,
1083,
1094,
1124,
1137,
1139,
1141
]
}
|
donor
|
What is the id of the project that has the highest optional tip? Indicate the names of the resources that were requested.
|
highest optional tip refers to subtract(total_price_including_optional_support, total_price_excluding_optional_support); names of the resources refers to item_name
|
SELECT T1.projectid, T1.item_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid ORDER BY T2.total_price_including_optional_support - T2.total_price_excluding_optional_support DESC LIMIT 1
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,168 | 3,168 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL
)
CREATE TABLE `resources`
(
projectid TEXT,
item_name TEXT,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
55,
179
],
"case_3": [
55,
120,
179,
387,
796,
836,
875,
980
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
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68,
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111,
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130,
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138,
139,
140,
141,
142,
143,
144,
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146,
148,
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151,
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154,
155,
158,
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162,
163,
164,
165,
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169,
170,
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248,
250,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
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,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
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,
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440,
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444,
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449,
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465,
467,
469,
470,
471,
472,
473,
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475,
476,
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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,
534,
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,
576,
577,
578,
579,
580,
581,
582,
583,
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,
619,
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,
664,
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,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
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,
815,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
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,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
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,
1030,
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,
1076,
1077,
1078,
1080,
1082,
1083,
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,
1139,
1141
]
}
|
donor
|
What were the resources that were requested by the teacher for project "d6ef27c07c30c81f0c16c32b6acfa2ff"? Indicate the quantities as well and whether or not the teacher acquired P.h.D or doctor degree.
|
resources that were requested refers to item_name; project "d6ef27c07c30c81f0c16c32b6acfa2ff" refers to projectid = 'd6ef27c07c30c81f0c16c32b6acfa2ff'; quantities refers to item_quantity; teacher_prefix = 'Dr. ' refers to teacher acquired P.h.D or doctor degree
|
SELECT DISTINCT T1.item_name, T1.item_quantity, T2.teacher_prefix FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.projectid = 'd6ef27c07c30c81f0c16c32b6acfa2ff'
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,169 | 3,169 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
teacher_prefix TEXT
)
CREATE TABLE `resources`
(
projectid TEXT,
item_name TEXT,
item_quantity INTEGER,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
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}
|
donor
|
What is the total price including optional support received by the teacher who posted the essay titled "Recording Rockin' Readers"?
|
SELECT SUM(T1.total_price_including_optional_support) FROM projects AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid WHERE T2.title = 'Recording Rockin'' Readers'
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,170 | 3,170 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
total_price_including_optional_support REAL
)
|
[
"AS",
"SELECT",
"SUM",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
875
],
"case_2": [
875
],
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387,
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980
],
"case_4": [
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980,
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],
"case_5": [
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887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
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949,
950,
951,
952,
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954,
956,
958,
959,
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963,
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967,
969,
970,
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980,
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991,
993,
994,
996,
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999,
1000,
1001,
1003,
1005,
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1008,
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1012,
1013,
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1016,
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1033,
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1038,
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1080,
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1084,
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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
]
}
|
|
donor
|
What is the latitude and longitude of the school where the teacher who wrote "Smile for the Camera!!!" teaches?
|
wrote "Smile for the Camera!!!" refers to title = 'Smile for the Camera!!!'; latitude refers to school_latitude; longitude refers to school_longitude
|
SELECT T1.school_latitude, T1.school_longitude FROM projects AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid WHERE T2.title = 'Smile for the Camera!!!'
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,171 | 3,171 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
school_latitude REAL,
school_longitude REAL
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
875
],
"case_2": [
875
],
"case_3": [
55,
120,
179,
387,
453,
796,
875,
980,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
1,
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704,
705,
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710,
711,
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714,
715,
717,
720,
721,
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726,
727,
728,
733,
734,
735,
736,
739,
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745,
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751,
752,
753,
754,
755,
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759,
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764,
765,
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780,
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787,
788,
790,
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799,
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804,
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901,
902,
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909,
910,
911,
912,
913,
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915,
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924,
925,
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930,
931,
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950,
951,
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958,
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967,
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970,
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982,
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988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
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1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
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1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
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1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
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1067,
1068,
1069,
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1072,
1074,
1075,
1078,
1080,
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1084,
1085,
1086,
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1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
donor
|
What is the total amount of all the donations made by the donor who made the highest donation in a single amount? Indicate the essay title to where he/she made his/her biggest donation.
|
total amount of all the donations refers to sum(donation_total); highest donation refers to max(donation_total)
|
SELECT T2.donation_total, T1.title FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.donation_total = ( SELECT MAX(donation_total) FROM donations )
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,172 | 3,172 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `donations`
(
projectid TEXT,
donation_total REAL,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM",
"MAX"
] | 9 |
simple
|
{
"case_1": [
387,
980
],
"case_2": [
387,
796,
980
],
"case_3": [
55,
120,
179,
387,
796,
875,
980
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
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23,
24,
26,
27,
29,
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33,
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39,
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42,
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46,
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49,
51,
52,
53,
55,
57,
58,
59,
62,
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65,
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183,
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186,
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189,
190,
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195,
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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,
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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,
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,
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,
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930,
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937,
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940,
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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,
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1068,
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1080,
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1087,
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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
]
}
|
donor
|
What are the favorite project types of each of the top 10 donors?
|
favorite project type refers to project_resource_type; top donors refers to max(donation_total)
|
SELECT project_resource_type FROM ( SELECT T1.donor_acctid, T3.project_resource_type FROM donations AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN resources AS T3 ON T2.projectid = T3.projectid ORDER BY T1.donation_total DESC LIMIT 10 ) GROUP BY project_resource_type ORDER BY COUNT(project_resource_type) DESC LIMIT 1
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,173 | 3,173 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
resource_type TEXT
)
CREATE TABLE `donations`
(
projectid TEXT,
donor_acctid TEXT,
donation_total REAL,
foreign key projectid references projectsprojectid
)
CREATE TABLE `resources`
(
projectid TEXT,
project_resource_type TEXT,
foreign key projectid references projectsprojectid
)
|
[
"GROUP BY",
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"COUNT",
"FROM"
] | 19 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
55,
179,
796
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
1,
4,
6,
10,
11,
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15,
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30,
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187,
188,
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190,
191,
196,
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199,
200,
202,
206,
212,
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214,
225,
226,
227,
229,
233,
234,
239,
243,
244,
247,
252,
254,
256,
261,
262,
267,
268,
269,
275,
276,
277,
278,
281,
285,
286,
291,
299,
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,
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365,
370,
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373,
374,
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379,
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382,
383,
384,
385,
391,
392,
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395,
401,
403,
406,
409,
411,
412,
416,
417,
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426,
428,
429,
434,
435,
436,
444,
445,
448,
451,
454,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
482,
484,
487,
488,
490,
493,
495,
497,
500,
505,
509,
515,
516,
519,
520,
526,
530,
532,
535,
536,
537,
538,
542,
544,
547,
548,
552,
558,
559,
560,
563,
564,
566,
567,
573,
578,
579,
580,
581,
582,
584,
586,
590,
592,
595,
596,
597,
606,
608,
611,
613,
620,
621,
625,
626,
627,
630,
632,
633,
634,
637,
638,
641,
645,
646,
649,
651,
654,
657,
658,
659,
662,
663,
664,
665,
668,
669,
671,
681,
687,
688,
690,
691,
694,
696,
698,
701,
703,
705,
712,
714,
719,
720,
721,
727,
733,
734,
735,
736,
739,
740,
743,
748,
749,
750,
751,
752,
753,
756,
759,
760,
762,
768,
769,
772,
778,
779,
787,
790,
796,
797,
799,
800,
802,
803,
804,
810,
812,
813,
814,
818,
819,
823,
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827,
830,
838,
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841,
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850,
851,
853,
857,
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866,
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930,
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950,
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1005,
1006,
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1013,
1015,
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1071,
1072,
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1078,
1082,
1084,
1086,
1087,
1091,
1094,
1100,
1101,
1103,
1104,
1106,
1112,
1119,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1137
]
}
|
donor
|
When was the first ever project went live on the site and what were the names of the resources being requested? If there are multiple projects that have the same date, indicate each of them and their items.
|
first ever project refers to min(date_posted); names of the resources refers to item_name
|
SELECT T2.date_posted, T1.item_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.date_posted = ( SELECT date_posted FROM projects ORDER BY date_posted ASC LIMIT 1 )
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,174 | 3,174 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
date_posted DATE
)
CREATE TABLE `resources`
(
projectid TEXT,
item_name TEXT,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"ASC",
"FROM"
] | 11 |
medium
|
{
"case_1": [
55,
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}
|
donor
|
What is the name of the vendor that supplies resources to the project "iMath"?
|
project "iMath" refers to title = 'iMath'
|
SELECT DISTINCT T1.vendor_name FROM resources AS T1 INNER JOIN essays AS T3 ON T1.projectid = T3.projectid WHERE T3.title = 'iMath'
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,175 | 3,175 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `resources`
(
projectid TEXT,
vendor_name TEXT,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
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55,
120,
179,
387,
453,
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875,
980,
1070
],
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1008,
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1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
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1038,
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1089,
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1092,
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1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
donor
|
When was the project with the highest quantity went live on the site? Indicate the grade level for which the project materials are intended.
|
project with the highest quantity refers to max(item_quantity)
|
SELECT T2.date_posted, T2.grade_level FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid ORDER BY T1.item_quantity DESC LIMIT 1
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,176 | 3,176 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
grade_level TEXT,
date_posted DATE
)
CREATE TABLE `resources`
(
projectid TEXT,
item_quantity INTEGER,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
55,
179
],
"case_3": [
55,
120,
179,
387,
796,
836,
875,
980
],
"case_4": [
55,
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179,
387,
453,
796,
836,
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906,
980,
1070
],
"case_5": [
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317,
318,
319,
320,
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322,
323,
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325,
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330,
333,
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339,
340,
341,
342,
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970,
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980,
981,
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985,
986,
987,
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,
1030,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
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1063,
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1080,
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1091,
1092,
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1098,
1099,
1100,
1101,
1103,
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1109,
1111,
1112,
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1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1139,
1141
]
}
|
donor
|
What is the average amount of donations by people who donated in the project "Recording Rockin' Readers"
|
average amount of donations = divide(sum(donation_to_project), count(donor_acctid)); project "Recording Rockin' Readers" refers to title = 'Recording Rockin' Readers'
|
SELECT AVG(T3.donation_to_project) FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN donations AS T3 ON T2.projectid = T3.projectid WHERE T1.title = 'Recording Rockin'' Readers'
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,177 | 3,177 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key
)
CREATE TABLE `donations`
(
projectid TEXT,
donation_to_project REAL,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"AVG",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
55,
120,
179,
387,
796,
875,
980
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"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,
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119,
120,
121,
125,
126,
127,
128,
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135,
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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,
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}
|
donor
|
What is the essay title of the project that have the highest total price excluding optional support and who is the biggest donor? Identify the donor and calculate how many percent did he/she donated in the project.
|
highest total price excluding optional support refers to max(total_price_excluding_optional_support); who refers to donor_acctid; percent = divide(donation_to_project, total_price_excluding_optional_support)*100%
|
SELECT T1.title, T3.donor_acctid, CAST(T3.donation_to_project AS REAL) / T2.total_price_excluding_optional_support FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN donations AS T3 ON T2.projectid = T3.projectid ORDER BY T3.donation_to_project DESC LIMIT 1
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,178 | 3,178 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key
)
CREATE TABLE `donations`
(
projectid TEXT,
donor_acctid TEXT,
donation_to_project REAL,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"CAST",
"FROM"
] | 14 |
medium
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1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
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1065,
1066,
1067,
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1071,
1072,
1074,
1075,
1076,
1077,
1078,
1080,
1082,
1083,
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,
1139,
1141
]
}
|
donor
|
From which state do the 5 biggest donor, who gave the highest cost of optional support, come from? List their donor_acctid and calculate for their average cost of optional support for every donations they make and identtify the project's type of resource to which they gave the hightest optional support.
|
which state refers to school_state; highest cost of optional support refers to max(donation_optional_support); average cost of optional support = avg(donation_optional_support)
|
SELECT T1.school_state, T2.donor_acctid, AVG(T2.donation_optional_support), T1.resource_type FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid ORDER BY T2.donation_optional_support DESC LIMIT 5
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,179 | 3,179 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
school_state TEXT,
resource_type TEXT
)
CREATE TABLE `donations`
(
projectid TEXT,
donor_acctid TEXT,
donation_optional_support REAL,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"AVG",
"DESC",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
120
],
"case_3": [
55,
120,
179,
387,
796,
836,
875,
980
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
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16,
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18,
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62,
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105,
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250,
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254,
256,
257,
258,
260,
261,
262,
263,
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269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
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295,
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300,
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325,
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719,
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728,
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951,
952,
953,
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1022,
1023,
1025,
1027,
1029,
1030,
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,
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1076,
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1080,
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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,
1139,
1141
]
}
|
donor
|
Which project in Brooklyn that have the highest request of resources? State the the project ID including all of the name of item requested.
|
in Brooklyn refers to school_city = 'Brooklyn'; highest request of resources refers to max(count(T1.item_name))
|
SELECT T1.projectid, T1.item_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.school_city LIKE 'Brooklyn' GROUP BY T1.item_name ORDER BY COUNT(T1.item_name) DESC LIMIT 1
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,180 | 3,180 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
school_city TEXT
)
CREATE TABLE `resources`
(
projectid TEXT,
item_name TEXT,
foreign key projectid references projectsprojectid
)
|
[
"GROUP BY",
"AS",
"SELECT",
"LIKE",
"LIMIT",
"ORDER BY",
"INNER JOIN",
"ON",
"DESC",
"COUNT",
"FROM"
] | 12 |
medium
|
{
"case_1": [
55,
179
],
"case_2": [
55,
179
],
"case_3": [
55,
179,
796,
875,
980,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
1,
3,
4,
6,
10,
11,
13,
15,
16,
20,
22,
26,
27,
28,
29,
30,
36,
37,
38,
47,
49,
51,
53,
55,
57,
59,
62,
63,
68,
69,
73,
74,
75,
77,
78,
81,
82,
86,
88,
89,
90,
91,
93,
96,
98,
106,
108,
113,
115,
117,
118,
119,
121,
125,
126,
127,
131,
136,
138,
140,
142,
143,
146,
148,
150,
152,
159,
160,
162,
163,
164,
167,
169,
170,
173,
175,
179,
183,
184,
185,
187,
188,
189,
190,
191,
196,
197,
199,
200,
202,
206,
212,
213,
214,
225,
226,
227,
229,
233,
234,
239,
240,
243,
244,
247,
252,
254,
256,
258,
261,
262,
263,
264,
267,
268,
269,
275,
276,
277,
278,
281,
285,
286,
291,
299,
301,
309,
311,
313,
314,
315,
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,
370,
371,
373,
374,
375,
378,
379,
381,
382,
383,
384,
385,
391,
392,
394,
395,
401,
402,
403,
406,
407,
409,
411,
412,
415,
416,
417,
424,
426,
428,
429,
430,
433,
434,
435,
436,
438,
444,
445,
448,
451,
452,
454,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
482,
484,
487,
488,
490,
493,
495,
497,
500,
505,
509,
515,
516,
519,
520,
526,
530,
532,
535,
536,
537,
538,
542,
544,
547,
548,
552,
557,
558,
559,
560,
563,
564,
566,
567,
573,
578,
579,
580,
581,
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584,
586,
590,
592,
595,
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597,
606,
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611,
613,
620,
621,
624,
625,
626,
627,
630,
632,
633,
634,
637,
638,
641,
645,
646,
649,
651,
654,
657,
658,
659,
662,
663,
664,
665,
666,
668,
669,
671,
675,
681,
687,
688,
690,
691,
694,
696,
698,
701,
703,
705,
712,
714,
719,
720,
721,
727,
733,
734,
735,
736,
739,
740,
743,
747,
748,
749,
750,
751,
752,
753,
754,
756,
759,
760,
762,
768,
769,
772,
774,
778,
779,
787,
790,
796,
797,
799,
800,
802,
803,
804,
810,
812,
813,
814,
818,
819,
823,
824,
827,
828,
830,
832,
838,
839,
841,
844,
849,
850,
851,
853,
857,
858,
861,
866,
867,
869,
870,
874,
875,
876,
877,
879,
882,
886,
888,
889,
891,
893,
896,
897,
898,
901,
902,
907,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
929,
930,
932,
934,
935,
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944,
950,
951,
953,
954,
956,
958,
961,
962,
963,
966,
967,
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970,
972,
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980,
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993,
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996,
1000,
1004,
1005,
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1010,
1013,
1015,
1017,
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1022,
1023,
1025,
1030,
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1037,
1038,
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1050,
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1062,
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1067,
1068,
1070,
1071,
1072,
1076,
1077,
1078,
1082,
1084,
1086,
1087,
1091,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1111,
1112,
1119,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1137
]
}
|
donor
|
How many schools in urban area requested for books resources?
|
urban area refers to school_metro = 'urban'; books resources refers to project_resource_type = 'Books'
|
SELECT COUNT(T2.schoolid) FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.resource_type = 'Books' AND T2.school_metro = 'urban'
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,181 | 3,181 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
schoolid TEXT,
school_metro TEXT,
resource_type TEXT
)
CREATE TABLE `resources`
(
projectid TEXT,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
-1
],
"case_2": [
55,
179
],
"case_3": [
55,
120,
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387,
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796,
875,
980,
1070
],
"case_4": [
55,
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179,
387,
453,
796,
836,
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906,
980,
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],
"case_5": [
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254,
256,
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258,
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261,
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264,
265,
266,
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271,
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275,
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284,
286,
287,
289,
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292,
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300,
301,
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303,
304,
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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,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
399,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
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480,
482,
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484,
485,
486,
487,
488,
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490,
491,
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500,
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503,
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509,
510,
511,
512,
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515,
516,
517,
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,
554,
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,
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586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
618,
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,
656,
657,
658,
659,
660,
661,
662,
663,
665,
666,
667,
668,
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670,
671,
672,
674,
675,
676,
677,
678,
680,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
692,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
707,
710,
711,
712,
714,
715,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
730,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
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759,
760,
761,
762,
763,
764,
765,
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771,
772,
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774,
775,
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778,
779,
780,
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783,
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790,
792,
793,
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796,
797,
798,
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802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
820,
822,
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824,
825,
827,
828,
829,
830,
831,
832,
833,
834,
835,
837,
838,
839,
841,
843,
844,
845,
846,
848,
849,
850,
851,
852,
853,
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,
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888,
889,
891,
892,
893,
894,
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896,
897,
898,
900,
901,
902,
903,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
945,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
965,
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,
1014,
1015,
1016,
1017,
1019,
1020,
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,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1079,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1126,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
donor
|
Which school requested the highest amount of resources from Amazon? State the school's ID.
|
highest amount of resources refers to max(count(schoolid)); Amazon refers to vendor_name = 'Amazon'
|
SELECT T2.schoolid FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.vendor_name LIKE 'Amazon' GROUP BY T2.schoolid ORDER BY COUNT(T1.vendor_name) DESC LIMIT 1
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,182 | 3,182 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
schoolid TEXT
)
CREATE TABLE `resources`
(
projectid TEXT,
vendor_name TEXT,
foreign key projectid references projectsprojectid
)
|
[
"GROUP BY",
"AS",
"SELECT",
"LIKE",
"LIMIT",
"ORDER BY",
"INNER JOIN",
"ON",
"DESC",
"COUNT",
"FROM"
] | 12 |
medium
|
{
"case_1": [
55,
179
],
"case_2": [
55,
179
],
"case_3": [
55,
179,
796,
875,
980,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
1,
3,
4,
6,
10,
11,
13,
15,
16,
20,
22,
26,
27,
28,
29,
30,
36,
37,
38,
47,
49,
51,
53,
55,
57,
59,
62,
63,
68,
69,
73,
74,
75,
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78,
81,
82,
86,
88,
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115,
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119,
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136,
138,
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164,
167,
169,
170,
173,
175,
179,
183,
184,
185,
187,
188,
189,
190,
191,
196,
197,
199,
200,
202,
206,
212,
213,
214,
225,
226,
227,
229,
233,
234,
239,
240,
243,
244,
247,
252,
254,
256,
258,
261,
262,
263,
264,
267,
268,
269,
275,
276,
277,
278,
281,
285,
286,
291,
299,
301,
309,
311,
313,
314,
315,
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,
370,
371,
373,
374,
375,
378,
379,
381,
382,
383,
384,
385,
391,
392,
394,
395,
401,
402,
403,
406,
407,
409,
411,
412,
415,
416,
417,
424,
426,
428,
429,
430,
433,
434,
435,
436,
438,
444,
445,
448,
451,
452,
454,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
482,
484,
487,
488,
490,
493,
495,
497,
500,
505,
509,
515,
516,
519,
520,
526,
530,
532,
535,
536,
537,
538,
542,
544,
547,
548,
552,
557,
558,
559,
560,
563,
564,
566,
567,
573,
578,
579,
580,
581,
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584,
586,
590,
592,
595,
596,
597,
606,
608,
611,
613,
620,
621,
624,
625,
626,
627,
630,
632,
633,
634,
637,
638,
641,
645,
646,
649,
651,
654,
657,
658,
659,
662,
663,
664,
665,
666,
668,
669,
671,
675,
681,
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690,
691,
694,
696,
698,
701,
703,
705,
712,
714,
719,
720,
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727,
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734,
735,
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740,
743,
747,
748,
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750,
751,
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753,
754,
756,
759,
760,
762,
768,
769,
772,
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779,
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790,
796,
797,
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804,
810,
812,
813,
814,
818,
819,
823,
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827,
828,
830,
832,
838,
839,
841,
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849,
850,
851,
853,
857,
858,
861,
866,
867,
869,
870,
874,
875,
876,
877,
879,
882,
886,
888,
889,
891,
893,
896,
897,
898,
901,
902,
907,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
929,
930,
932,
934,
935,
943,
944,
950,
951,
953,
954,
956,
958,
961,
962,
963,
966,
967,
969,
970,
972,
973,
975,
977,
980,
981,
983,
985,
986,
987,
993,
994,
996,
1000,
1004,
1005,
1006,
1010,
1013,
1015,
1017,
1019,
1022,
1023,
1025,
1030,
1034,
1037,
1038,
1042,
1043,
1047,
1049,
1050,
1051,
1056,
1057,
1058,
1062,
1064,
1065,
1067,
1068,
1070,
1071,
1072,
1076,
1077,
1078,
1082,
1084,
1086,
1087,
1091,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1111,
1112,
1119,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1137
]
}
|
donor
|
How many donors in Los Angeles donated to school in another city?
|
in Los Angeles refers to donor_city = 'Los Angeles'; school in another city refers to school_city ! = 'Los Angeles'
|
SELECT COUNT(T2.schoolid) FROM donations AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.donor_city = 'Los Angeles' AND T2.school_city NOT LIKE 'Los Angeles'
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,183 | 3,183 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
schoolid TEXT,
school_city TEXT
)
CREATE TABLE `donations`
(
projectid TEXT,
donor_city TEXT,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"AND",
"SELECT",
"LIKE",
"INNER JOIN",
"ON",
"NOT",
"COUNT",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
120
],
"case_3": [
55,
120,
179,
387,
796,
875,
980,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"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,
67,
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,
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194,
195,
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201,
202,
206,
207,
211,
212,
213,
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217,
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220,
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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,
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,
421,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
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,
591,
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,
629,
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,
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,
1014,
1015,
1016,
1017,
1019,
1020,
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,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
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
]
}
|
donor
|
What is the prefix for the teacher who handled the 'Reading About Other Cultures' project?
|
Reading About Other Cultures' project refers to title = 'Reading About Other Cultures'; prefix for the teacher refers to teacher_prefix
|
SELECT T2.teacher_prefix FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.title LIKE 'Reading About Other Cultures'
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,184 | 3,184 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
teacher_prefix TEXT
)
|
[
"AS",
"SELECT",
"LIKE",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
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]
}
|
donor
|
How many students will be impacted for the Fit Firsties! Project?
|
how many students refers to students_reached; Fit Firsties! project refers to title = 'Fit Firsties!'
|
SELECT T2.students_reached FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.title LIKE 'Fit Firsties!'
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,185 | 3,185 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
students_reached INTEGER
)
|
[
"AS",
"SELECT",
"LIKE",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
875
],
"case_2": [
875
],
"case_3": [
55,
120,
179,
387,
796,
875,
980,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
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726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
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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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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,
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905,
907,
908,
909,
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912,
914,
915,
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922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
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935,
936,
937,
938,
940,
941,
943,
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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,
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1080,
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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
]
}
|
donor
|
List the title of all projects located in Chicago along with the ID of the donor.
|
in Chicago refers to school_city = 'Chicago'; ID of the donor refers to donor_acctid
|
SELECT T1.title, T3.donor_acctid FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN donations AS T3 ON T2.projectid = T3.projectid WHERE T2.school_city LIKE 'Chicago'
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,186 | 3,186 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
school_city TEXT
)
CREATE TABLE `donations`
(
projectid TEXT,
donor_acctid TEXT,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"LIKE",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
55,
120,
179,
387,
796,
875,
980,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
1,
3,
4,
5,
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8,
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24,
26,
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101,
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105,
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111,
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264,
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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,
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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,
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342,
343,
344,
345,
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357,
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360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
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389,
390,
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392,
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401,
402,
403,
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570,
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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,
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643,
644,
645,
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647,
648,
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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,
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714,
715,
717,
720,
721,
722,
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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,
766,
767,
768,
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771,
772,
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776,
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779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
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800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
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813,
814,
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819,
822,
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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,
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871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
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888,
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891,
892,
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894,
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896,
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898,
900,
901,
902,
904,
905,
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908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
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930,
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956,
958,
959,
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969,
970,
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980,
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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
]
}
|
donor
|
Which projects created by teachers with Doctor Degree where the project have more than 300 students involved. List down the title of the project.
|
eachers with Doctor Degree refers to teacher_prefix = 'Dr.'; more than 300 students involved refers to students_reached > 300
|
SELECT T1.title FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.teacher_prefix LIKE 'Dr.' AND T2.students_reached > 300
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,187 | 3,187 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
teacher_prefix TEXT,
students_reached INTEGER
)
|
[
"AS",
"AND",
"SELECT",
"LIKE",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
875
],
"case_2": [
875
],
"case_3": [
55,
120,
179,
387,
796,
875,
980,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
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}
|
donor
|
State the name of vendor that supplies book resources to all school with literacy subject as their primary focus.
|
literacy subject as primary focus refers to primary_focus_subject = 'Literacy'
|
SELECT DISTINCT T1.vendor_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.primary_focus_subject LIKE 'Literacy'
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,188 | 3,188 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
primary_focus_subject TEXT
)
CREATE TABLE `resources`
(
projectid TEXT,
vendor_name TEXT,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"LIKE",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
55,
179
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"case_3": [
55,
120,
179,
387,
796,
875,
980,
1070
],
"case_4": [
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120,
179,
387,
453,
796,
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875,
906,
980,
1070
],
"case_5": [
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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
]
}
|
donor
|
What is the title of project that have the most expensive funds?
|
the most expensive funds refers to max(multiply(item_unit_price, item_quantity))
|
SELECT T1.title FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.projectid = ( SELECT projectid FROM resources ORDER BY item_unit_price * item_quantity DESC LIMIT 1 )
|
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,189 | 3,189 |
CREATE TABLE `essays`
(
CREATE TABLE "essays"
projectid TEXT,
title TEXT,
essay TEXT
)
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key
)
CREATE TABLE `resources`
(
projectid TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
55,
120,
179,
387,
796,
836,
875,
980
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
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,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
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,
174,
175,
176,
177,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
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,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
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,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
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,
534,
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,
576,
577,
578,
579,
580,
581,
582,
583,
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,
619,
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,
664,
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,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
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,
815,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
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,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
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,
1030,
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,
1076,
1077,
1078,
1080,
1082,
1083,
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,
1139,
1141
]
}
|
donor
|
Among all the donors from New York, how many of them are teachers?
|
from New York refers to donor_city = 'New York'; donor is a teacher refers to is_teacher_acct = 't';
|
SELECT COUNT(donationid) FROM donations WHERE is_teacher_acct = 't' AND donor_city = 'New York'
|
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,190 | 3,190 |
CREATE TABLE `donations`
(
donationid TEXT not null
primary key,
donor_city TEXT,
is_teacher_acct TEXT
)
|
[
"COUNT",
"AND",
"SELECT",
"FROM"
] | 4 |
simple
|
{
"case_1": [
1070
],
"case_2": [
1070
],
"case_3": [
55,
179,
453,
796,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
1,
2,
4,
5,
6,
8,
9,
10,
11,
12,
13,
15,
16,
19,
20,
21,
22,
24,
25,
26,
27,
28,
30,
32,
33,
35,
36,
37,
38,
39,
40,
43,
44,
45,
47,
50,
51,
52,
53,
55,
56,
57,
61,
62,
63,
66,
67,
68,
69,
71,
73,
74,
75,
76,
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78,
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82,
85,
86,
87,
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89,
90,
91,
93,
95,
96,
98,
99,
100,
106,
108,
109,
111,
112,
113,
115,
116,
117,
118,
119,
121,
124,
125,
126,
127,
128,
129,
131,
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,
229,
230,
233,
234,
239,
240,
243,
244,
247,
252,
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,
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,
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,
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443,
444,
445,
446,
447,
448,
451,
452,
453,
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455,
458,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
473,
475,
476,
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480,
481,
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484,
485,
487,
488,
490,
492,
493,
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500,
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507,
509,
510,
512,
514,
515,
516,
517,
519,
520,
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536,
537,
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566,
573,
580,
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585,
586,
588,
589,
591,
594,
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596,
597,
598,
599,
601,
603,
605,
606,
608,
610,
611,
612,
613,
615,
618,
620,
622,
624,
625,
626,
627,
629,
630,
632,
633,
634,
637,
641,
643,
645,
646,
648,
649,
651,
654,
656,
658,
659,
661,
662,
663,
664,
665,
666,
667,
668,
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671,
673,
675,
677,
678,
679,
680,
681,
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684,
685,
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705,
707,
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715,
716,
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719,
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730,
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735,
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737,
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740,
741,
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746,
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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,
806,
807,
808,
810,
811,
812,
813,
814,
817,
818,
819,
820,
821,
824,
825,
827,
829,
830,
831,
832,
835,
838,
839,
840,
841,
843,
844,
848,
849,
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853,
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858,
859,
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861,
864,
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866,
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930,
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1128,
1131,
1133,
1134,
1135,
1136,
1137
]
}
|
donor
|
How many donors from New Jersey have made a donation for an honoree?
|
from New Jersey refers to donor_state = 'NJ'; for an honoree refers to for_honoree = 't';
|
SELECT COUNT(donationid) FROM donations WHERE for_honoree = 't' AND donor_state = 'NJ'
|
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,191 | 3,191 |
CREATE TABLE `donations`
(
donationid TEXT not null
primary key,
donor_state TEXT,
for_honoree TEXT
)
|
[
"COUNT",
"AND",
"SELECT",
"FROM"
] | 4 |
simple
|
{
"case_1": [
1070
],
"case_2": [
1070
],
"case_3": [
55,
179,
453,
796,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
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1126,
1127,
1128,
1131,
1133,
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1135,
1136,
1137
]
}
|
donor
|
What is the donation message for donation ID a84dace1ff716f6f0c7af8ef9090a5d5?
|
SELECT donation_message FROM donations WHERE donationid = 'a84dace1ff716f6f0c7af8ef9090a5d5'
|
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,192 | 3,192 |
CREATE TABLE `donations`
(
donationid TEXT not null
primary key,
donation_message TEXT
)
|
[
"SELECT",
"FROM"
] | 2 |
simple
|
{
"case_1": [
836,
1070
],
"case_2": [
836,
1070
],
"case_3": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
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}
|
|
donor
|
Please list the types of resources that the vendor Lakeshore Learning Materials has provided for the projects.
|
Lakeshore Learning Materials is vendor_name; type of resources refers to project_resource_type;
|
SELECT DISTINCT project_resource_type FROM resources WHERE vendor_name = 'Lakeshore Learning Materials'
|
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,193 | 3,193 |
CREATE TABLE `resources`
(
vendor_name TEXT,
project_resource_type TEXT
)
|
[
"SELECT",
"FROM"
] | 2 |
simple
|
{
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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
]
}
|
donor
|
What is the name of the item that is provided in the biggest amount by the vendor Lakeshore Learning Materials?
|
lakeshore Learning Materials is vendor_name; biggest amount refers to Max(item_quantity);
|
SELECT item_name FROM resources WHERE vendor_name = 'Lakeshore Learning Materials' ORDER BY item_quantity DESC LIMIT 1
|
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,194 | 3,194 |
CREATE TABLE `resources`
(
vendor_name TEXT,
item_name TEXT,
item_quantity INTEGER
)
|
[
"SELECT",
"ORDER BY",
"LIMIT",
"FROM",
"DESC"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
55,
179,
836
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"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
]
}
|
donor
|
Among the projects created by a teacher from New York, how many of them have a donor from the same city?
|
New York is the donor city; donor from the same city refers to donor from New York in which teacher_ny_teaching_fellow = 't';
|
SELECT COUNT(T1.projectid) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.teacher_ny_teaching_fellow = 't' AND T2.donor_city = 'New York'
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,195 | 3,195 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
teacher_ny_teaching_fellow TEXT
)
CREATE TABLE `donations`
(
projectid TEXT,
donor_city TEXT,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
-1
],
"case_2": [
120
],
"case_3": [
55,
120,
179,
387,
453,
796,
875,
980,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"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,
35,
36,
37,
39,
40,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
109,
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,
192,
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,
230,
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,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
294,
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,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
399,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
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,
509,
510,
511,
512,
514,
515,
516,
517,
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,
554,
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,
591,
592,
593,
594,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
618,
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,
656,
657,
658,
659,
660,
661,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
680,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
692,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
707,
710,
711,
712,
714,
715,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
730,
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1135,
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1137
]
}
|
donor
|
How many projects have their resources provided by the vendor Lakeshore Learning Materials and are created by a teacher with a doctor degree?
|
Lakeshore Learning Materials is vendor_name; teacher with a doctor degree refers to teacher_prefix = 'Dr.';
|
SELECT COUNT(T1.projectid) FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.vendor_name = 'Lakeshore Learning Materials' AND T2.teacher_prefix = 'Dr.'
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,196 | 3,196 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
teacher_prefix TEXT
)
CREATE TABLE `resources`
(
projectid TEXT,
vendor_name TEXT,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 8 |
simple
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1137
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}
|
donor
|
Please list the vendor providing resources for the projects of a school with the highest poverty level.
|
highest poverty level refers to poverty_level = 'highest poverty';
|
SELECT T1.vendor_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.poverty_level = 'highest poverty'
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,197 | 3,197 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
poverty_level TEXT
)
CREATE TABLE `resources`
(
projectid TEXT,
vendor_name TEXT,
foreign key projectid references projectsprojectid
)
|
[
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"ON",
"FROM"
] | 6 |
simple
|
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}
|
donor
|
Of the projects whose resources are provided by the vendor Lakeshore Learning Materials, the school of which project has the highest cost of labor fulfillment? Please give its school ID.
|
Lakeshore Learning Materials is vendor_name; highest cost of labor fulfillment refers to Max(fulfillment_labor_materials);
|
SELECT T2.schoolid FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.vendor_name = 'Lakeshore Learning Materials' ORDER BY T2.fulfillment_labor_materials DESC LIMIT 1
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,198 | 3,198 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
schoolid TEXT,
fulfillment_labor_materials REAL
)
CREATE TABLE `resources`
(
projectid TEXT,
vendor_name TEXT,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
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55,
179
],
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55,
120,
179,
387,
796,
836,
875,
980
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
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827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
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,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
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,
1030,
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,
1076,
1077,
1078,
1080,
1082,
1083,
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,
1139,
1141
]
}
|
donor
|
Who is the vendor of the resources needed by the project that had the highest cost of optional tip?
|
Highest cost of the optional tip refers to Max(total_price_including_optional_support - total_price_excluding_optional_support);
|
SELECT T1.vendor_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid ORDER BY T2.total_price_including_optional_support - T2.total_price_including_optional_support DESC LIMIT 1
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,199 | 3,199 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
total_price_including_optional_support REAL
)
CREATE TABLE `resources`
(
projectid TEXT,
vendor_name TEXT,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
55,
179
],
"case_3": [
55,
120,
179,
387,
796,
836,
875,
980
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
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,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
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,
174,
175,
176,
177,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
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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,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
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,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
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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432,
433,
434,
435,
436,
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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,
534,
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,
576,
577,
578,
579,
580,
581,
582,
583,
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,
619,
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,
664,
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,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
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,
815,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
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849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
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869,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
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888,
889,
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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,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
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,
1030,
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,
1076,
1077,
1078,
1080,
1082,
1083,
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,
1139,
1141
]
}
|
donor
|
What is the total donated amount for projects created by a teacher working in a school in Brooklyn?
|
school in Brooklyn refers to school_city = 'Brooklyn'; total donated amount refers to donation_total;
|
SELECT SUM(T2.donation_total) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.school_city = 'Brooklyn'
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,200 | 3,200 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
school_city TEXT
)
CREATE TABLE `donations`
(
projectid TEXT,
donation_total REAL,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"SUM",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
120
],
"case_3": [
55,
120,
179,
387,
453,
796,
875,
980
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"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,
35,
36,
37,
39,
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}
|
donor
|
Please list the donation messages of the donations for the projects created by a teacher working in a public magnet school in Brooklyn.
|
school in Brooklyn refers to school_city = 'Brooklyn'; public magnet refers to school_magnet = 't';
|
SELECT T2.donation_message FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.school_city = 'Brooklyn' AND T1.school_magnet = 't'
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,201 | 3,201 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
school_city TEXT,
school_magnet TEXT
)
CREATE TABLE `donations`
(
projectid TEXT,
donation_message TEXT,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
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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,
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
]
}
|
donor
|
Among the donations with a portion using account credits redemption, how many of them are for projects created by teachers working in a public year-round school?
|
portion using account credits redemption refers to payment_included_acct_credit = 't'; year-round school refers to school_year_round = 't';
|
SELECT COUNT(T1.projectid) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.payment_included_acct_credit = 't' AND T1.school_year_round = 't'
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,202 | 3,202 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
school_year_round TEXT
)
CREATE TABLE `donations`
(
projectid TEXT,
payment_included_acct_credit TEXT,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
-1
],
"case_2": [
120
],
"case_3": [
55,
120,
179,
387,
453,
796,
875,
980,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"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,
35,
36,
37,
39,
40,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
109,
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,
192,
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,
230,
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,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
294,
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,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
399,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
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445,
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447,
448,
449,
450,
451,
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453,
454,
455,
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458,
459,
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462,
463,
464,
465,
466,
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,
509,
510,
511,
512,
514,
515,
516,
517,
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,
554,
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,
591,
592,
593,
594,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
618,
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,
656,
657,
658,
659,
660,
661,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
680,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
692,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
707,
710,
711,
712,
714,
715,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
730,
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,
820,
822,
823,
824,
825,
827,
828,
829,
830,
831,
832,
833,
834,
835,
837,
838,
839,
841,
843,
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,
903,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
945,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
965,
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,
1014,
1015,
1016,
1017,
1019,
1020,
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,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1079,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1126,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
donor
|
What is the total donation amount made for projects whose main subject area are Literacy & Language?
|
main subject area refers to primary_focus_area = 'Literacy & Language'; total donation amount refers to Sum(dollar_amount);
|
SELECT SUM(T2.dollar_amount) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.primary_focus_area = 'Literacy & Language'
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,203 | 3,203 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
primary_focus_area TEXT
)
CREATE TABLE `donations`
(
projectid TEXT,
dollar_amount TEXT,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"SUM",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
120
],
"case_3": [
55,
120,
179,
387,
453,
796,
875,
980
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"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,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
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,
125,
126,
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}
|
donor
|
Which donor has donated the most for a project whose main subject area is Literacy & Language? Please give his or her ID.
|
main subject area refers to primary_focus_area = 'Literacy & Language'; donated the most refers to Max(donation_total);
|
SELECT T2.donor_acctid FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.primary_focus_area = 'Literacy & Language' ORDER BY T2.donation_total DESC LIMIT 1
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,204 | 3,204 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
primary_focus_area TEXT
)
CREATE TABLE `donations`
(
projectid TEXT,
donor_acctid TEXT,
donation_total REAL,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 9 |
simple
|
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991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1030,
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,
1076,
1077,
1078,
1080,
1082,
1083,
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,
1139,
1141
]
}
|
donor
|
What is the most requested item under the resource type "Supplies" for projects whose main subject area is Literacy & Language?
|
main subject area refers to primary_focus_area = 'Literacy & Language'; resource type supplies refers to project_resource_type = 'Supplies'; most requested item refers to Max(item_quantity);
|
SELECT T1.item_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.primary_focus_area = 'Literacy & Language' AND T1.project_resource_type = 'Supplies' ORDER BY T1.item_quantity DESC LIMIT 1
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,205 | 3,205 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
primary_focus_area TEXT,
resource_type TEXT
)
CREATE TABLE `resources`
(
projectid TEXT,
project_resource_type TEXT,
item_name TEXT,
item_quantity INTEGER,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"AND",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
55,
179
],
"case_3": [
55,
120,
179,
387,
796,
836,
875,
980
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
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41,
42,
43,
44,
45,
46,
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48,
49,
51,
52,
53,
55,
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58,
59,
62,
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65,
66,
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70,
71,
72,
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88,
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91,
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94,
95,
96,
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98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
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118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
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145,
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148,
150,
151,
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153,
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155,
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165,
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171,
172,
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174,
175,
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179,
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181,
183,
184,
185,
186,
187,
188,
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190,
191,
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195,
196,
197,
199,
200,
201,
202,
206,
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208,
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,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
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,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
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405,
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407,
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409,
411,
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413,
414,
415,
416,
417,
419,
422,
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482,
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488,
489,
490,
491,
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495,
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511,
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542,
544,
547,
548,
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559,
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570,
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580,
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582,
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584,
586,
587,
588,
589,
590,
592,
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595,
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600,
602,
605,
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607,
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610,
611,
612,
613,
614,
615,
616,
619,
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,
664,
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,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
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,
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787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
815,
818,
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822,
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824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
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838,
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841,
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845,
846,
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850,
851,
852,
853,
854,
857,
858,
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860,
861,
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863,
866,
867,
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869,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
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891,
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893,
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896,
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898,
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901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
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922,
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924,
925,
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930,
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932,
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935,
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937,
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940,
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944,
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949,
950,
951,
952,
953,
954,
956,
958,
959,
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962,
963,
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966,
967,
969,
970,
971,
972,
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975,
977,
980,
981,
983,
985,
986,
987,
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,
1030,
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,
1076,
1077,
1078,
1080,
1082,
1083,
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,
1139,
1141
]
}
|
donor
|
Which item provided to a project whose main subject area is Literacy & Language has the highest unit price?
|
main subject area refers to primary_focus_area = 'Literacy & Language'; highest unit price refers to Max(item_unit_price);
|
SELECT T1.item_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.primary_focus_area = 'Literacy & Language' ORDER BY T1.item_unit_price DESC LIMIT 1
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,206 | 3,206 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
primary_focus_area TEXT
)
CREATE TABLE `resources`
(
projectid TEXT,
item_name TEXT,
item_unit_price REAL,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
55,
179
],
"case_3": [
55,
120,
179,
387,
796,
836,
875,
980
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
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,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
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,
174,
175,
176,
177,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
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,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
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,
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330,
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335,
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353,
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356,
357,
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360,
361,
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515,
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518,
519,
520,
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528,
529,
530,
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1139,
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]
}
|
donor
|
What is the average donation amount to a project created by a teacher working in a school in Brooklyn?
|
school in Brooklyn refers to school_city = 'Brooklyn'; Average = AVG(donation_total);
|
SELECT SUM(T2.donation_total) / COUNT(donationid) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.school_city = 'Brooklyn'
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,207 | 3,207 |
CREATE TABLE `projects`
(
CREATE TABLE "projects"
projectid TEXT not null
primary key,
school_city TEXT
)
CREATE TABLE `donations`
(
donationid TEXT not null
primary key,
projectid TEXT,
donation_total REAL,
foreign key projectid references projectsprojectid
)
|
[
"AS",
"SELECT",
"SUM",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
-1
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"case_2": [
120
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"case_3": [
55,
120,
179,
387,
453,
796,
875,
980,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
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1069,
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]
}
|
donor
|
To which city did donor “22cbc920c9b5fa08dfb331422f5926b5” donate?
|
donor “22cbc920c9b5fa08dfb331422f5926b5” refers to donor_acctid = '22cbc920c9b5fa08dfb331422f5926b5'; city refers to donor_city
|
SELECT DISTINCT donor_city FROM donations WHERE donor_acctid = '22cbc920c9b5fa08dfb331422f5926b5'
|
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,208 | 3,208 |
CREATE TABLE `donations`
(
donor_acctid TEXT,
donor_city TEXT
)
|
[
"SELECT",
"FROM"
] | 2 |
simple
|
{
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"case_3": [
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"case_4": [
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"case_5": [
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]
}
|
donor
|
Is donor “22cbc920c9b5fa08dfb331422f5926b5” a teacher?
|
donor “22cbc920c9b5fa08dfb331422f5926b5” refers to donor_acctid = '22cbc920c9b5fa08dfb331422f5926b5'; is a teacher refers to is_teacher_acct;
|
SELECT DISTINCT is_teacher_acct FROM donations WHERE donor_acctid = '22cbc920c9b5fa08dfb331422f5926b5'
|
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,209 | 3,209 |
CREATE TABLE `donations`
(
donor_acctid TEXT,
is_teacher_acct TEXT
)
|
[
"SELECT",
"FROM"
] | 2 |
simple
|
{
"case_1": [
836,
1070
],
"case_2": [
836,
1070
],
"case_3": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
1,
2,
3,
4,
5,
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99,
100,
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961,
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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
]
}
|
donor
|
Have the teacher "42d43fa6f37314365d08692e08680973" acquired P.h.D or doctor degree?
|
teacher "42d43fa6f37314365d08692e08680973" refers to teacher_acctid = '42d43fa6f37314365d08692e08680973';
|
SELECT CASE WHEN teacher_prefix = 'Dr.' THEN 'Yes' ELSE 'NO' END FROM projects WHERE teacher_acctid = '42d43fa6f37314365d08692e08680973'
|
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
|
CREATE TABLE sqlite_sequence(name,seq)
CREATE TABLE "essays"
(
projectid TEXT,
teacher_acctid TEXT,
title TEXT,
short_description TEXT,
need_statement TEXT,
essay TEXT
)
CREATE TABLE "projects"
(
projectid TEXT not null
primary key,
teacher_acctid TEXT,
schoolid TEXT,
school_ncesid TEXT,
school_latitude REAL,
school_longitude REAL,
school_city TEXT,
school_state TEXT,
school_zip INTEGER,
school_metro TEXT,
school_district TEXT,
school_county TEXT,
school_charter TEXT,
school_magnet TEXT,
school_year_round TEXT,
school_nlns TEXT,
school_kipp TEXT,
school_charter_ready_promise TEXT,
teacher_prefix TEXT,
teacher_teach_for_america TEXT,
teacher_ny_teaching_fellow TEXT,
primary_focus_subject TEXT,
primary_focus_area TEXT,
secondary_focus_subject TEXT,
secondary_focus_area TEXT,
resource_type TEXT,
poverty_level TEXT,
grade_level TEXT,
fulfillment_labor_materials REAL,
total_price_excluding_optional_support REAL,
total_price_including_optional_support REAL,
students_reached INTEGER,
eligible_double_your_impact_match TEXT,
eligible_almost_home_match TEXT,
date_posted DATE
)
CREATE TABLE donations
(
donationid TEXT not null
primary key,
projectid TEXT,
donor_acctid TEXT,
donor_city TEXT,
donor_state TEXT,
donor_zip TEXT,
is_teacher_acct TEXT,
donation_timestamp DATETIME,
donation_to_project REAL,
donation_optional_support REAL,
donation_total REAL,
dollar_amount TEXT,
donation_included_optional_support TEXT,
payment_method TEXT,
payment_included_acct_credit TEXT,
payment_included_campaign_gift_card TEXT,
payment_included_web_purchased_gift_card TEXT,
payment_was_promo_matched TEXT,
via_giving_page TEXT,
for_honoree TEXT,
donation_message TEXT,
foreign key (projectid) references projects(projectid)
)
CREATE TABLE resources
(
resourceid TEXT not null
primary key,
projectid TEXT,
vendorid INTEGER,
vendor_name TEXT,
project_resource_type TEXT,
item_name TEXT,
item_number TEXT,
item_unit_price REAL,
item_quantity INTEGER,
foreign key (projectid) references projects(projectid)
)
|
na
| 3,210 | 3,210 |
CREATE TABLE `projects`
(
teacher_acctid TEXT,
teacher_prefix TEXT
)
|
[
"CASE WHEN",
"CASE",
"SELECT",
"FROM"
] | 4 |
simple
|
{
"case_1": [
453
],
"case_2": [
453
],
"case_3": [
120,
453,
796
],
"case_4": [
55,
120,
179,
387,
453,
796,
836,
875,
906,
980,
1070
],
"case_5": [
0,
6,
16,
24,
42,
54,
61,
64,
71,
77,
81,
104,
106,
113,
120,
122,
127,
129,
148,
152,
153,
155,
158,
171,
173,
191,
192,
195,
201,
205,
207,
212,
215,
219,
223,
225,
226,
234,
236,
245,
248,
258,
261,
263,
264,
267,
271,
279,
298,
299,
300,
303,
304,
305,
322,
335,
347,
360,
362,
375,
383,
393,
398,
402,
406,
412,
415,
423,
427,
438,
443,
452,
453,
458,
476,
478,
479,
485,
486,
500,
504,
508,
514,
517,
518,
528,
535,
540,
547,
550,
563,
564,
571,
573,
575,
580,
581,
601,
620,
623,
628,
640,
646,
662,
666,
672,
676,
682,
686,
706,
709,
710,
723,
740,
744,
747,
753,
762,
772,
776,
787,
788,
795,
796,
798,
800,
805,
808,
827,
841,
844,
848,
868,
871,
872,
874,
880,
896,
909,
912,
922,
924,
926,
939,
941,
943,
944,
959,
978,
979,
985,
998,
1008,
1012,
1036,
1048,
1062,
1064,
1066,
1069,
1078,
1082,
1087,
1092,
1093,
1098,
1110,
1129,
1131,
1133,
1134,
1135
]
}
|
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