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stringlengths 24
325
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673
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804
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stringlengths 79
5k
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values | difficulty
stringclasses 1
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stringlengths 41
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stringclasses 3
values | few_shots
dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
disney
|
Which movie's song title has the highest total gross?
|
The highest total gross refers to MAX(total_gross);
|
SELECT T2.song FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title ORDER BY CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) DESC LIMIT 1
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,711 | 4,711 |
CREATE TABLE `characters`
(
movie_title TEXT
primary key,
song TEXT
)
CREATE TABLE `movies_total_gross`
(
movie_title TEXT,
total_gross TEXT,
primary key movie_title,
foreign key movie_title references charactersmovie_title
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"CAST",
"FROM"
] | 11 |
medium
|
{
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-1
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852,
1132
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"case_4": [
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866,
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987,
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999,
1000,
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1003,
1004,
1005,
1006,
1010,
1012,
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1016,
1017,
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1022,
1023,
1025,
1027,
1029,
1030,
1031,
1033,
1034,
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1037,
1038,
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1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1139,
1141
]
}
|
disney
|
Which director had the most popular film from 1937 to 1990?
|
from 1937 to 1990 refers to substr(release_date, length(release_date) - 3, length(release_date)) between '1937' and '1990'; the most popular film refers to movie_title where MAX(total_gross);
|
SELECT T2.director FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name INNER JOIN movies_total_gross AS T3 ON T3.movie_title = T1.movie_title WHERE SUBSTR(T3.release_date, LENGTH(T3.release_date) - 3, LENGTH(T3.release_date)) BETWEEN '1937' AND '1990' ORDER BY CAST(REPLACE(trim(T3.total_gross, '$'), ',', '') AS REAL) DESC LIMIT 1
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,712 | 4,712 |
CREATE TABLE `characters`
(
movie_title TEXT
primary key,
release_date TEXT
)
CREATE TABLE `director`
(
name TEXT
primary key,
director TEXT,
foreign key name references charactersmovie_title
)
CREATE TABLE `movies_total_gross`
(
movie_title TEXT,
release_date TEXT,
total_gross TEXT,
primary key movie_title, release_date,
foreign key movie_title references charactersmovie_title
)
|
[
"AS",
"AND",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"LENGTH",
"DESC",
"SUBSTR",
"CAST",
"BETWEEN",
"FROM"
] | 19 |
challenging
|
{
"case_1": [
-1
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-1
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93,
451
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1050,
1051,
1056,
1064,
1065,
1067,
1068,
1072,
1092,
1094,
1123,
1124,
1128,
1137
]
}
|
disney
|
List all the main characters of the movie that are comedy genre.
|
Comedy refers to genre = 'Comedy'; the main character of the movie refers to hero;
|
SELECT T2.hero FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title WHERE T1.genre = 'Comedy'
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,713 | 4,713 |
CREATE TABLE `characters`
(
movie_title TEXT
primary key,
hero TEXT,
foreign key hero references "voice-actors"character
)
CREATE TABLE `movies_total_gross`
(
movie_title TEXT,
genre TEXT,
total_gross TEXT,
primary key movie_title,
foreign key movie_title references charactersmovie_title
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
451
],
"case_3": [
93,
451,
456,
533,
639,
647,
852,
1132
],
"case_4": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
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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,
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112,
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764,
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898,
900,
901,
902,
904,
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907,
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911,
912,
913,
914,
915,
916,
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922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
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944,
949,
950,
951,
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953,
954,
956,
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959,
961,
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967,
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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,
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1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
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1042,
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1134,
1135,
1136,
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]
}
|
disney
|
Provide the names of voice actors for the characters of films directed by Wolfgang Reitherman.
|
Wolfgang Reitherman refers to director = 'Wolfgang Reitherman';
|
SELECT T2.hero, T1.`voice-actor` FROM `voice-actors` AS T1 INNER JOIN characters AS T2 ON T1.movie = T2.movie_title INNER JOIN director AS T3 ON T3.name = T2.movie_title WHERE T3.director = 'Wolfgang Reitherman'
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,714 | 4,714 |
CREATE TABLE `characters`
(
movie_title TEXT
primary key,
hero TEXT,
foreign key hero references "voice-actors"character
)
CREATE TABLE `director`
(
name TEXT
primary key,
director TEXT,
foreign key name references charactersmovie_title
)
CREATE TABLE `voice-actors`
(
CREATE TABLE "voice-actors"
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key movie references charactersmovie_title
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 11 |
medium
|
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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
]
}
|
disney
|
What genre of movie has Taran as the main character?
|
Taran is the main character of the movie which refers to hero = 'Taran';
|
SELECT T1.genre FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title WHERE T2.hero = 'Taran'
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,715 | 4,715 |
CREATE TABLE `characters`
(
movie_title TEXT
primary key,
hero TEXT,
foreign key hero references "voice-actors"character
)
CREATE TABLE `movies_total_gross`
(
movie_title TEXT,
genre TEXT,
total_gross TEXT,
primary key movie_title,
foreign key movie_title references charactersmovie_title
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
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]
}
|
disney
|
The main character Elsa is voiced by which actor and who is the director of the movie?
|
Elsa is the main character of the movie which refers to hero = 'Elsa'; voiced by which actor refers to voice-actor;
|
SELECT T1.`voice-actor`, T3.director FROM `voice-actors` AS T1 INNER JOIN characters AS T2 ON T1.movie = T2.movie_title INNER JOIN director AS T3 ON T2.movie_title = T3.name WHERE T2.hero = 'Elsa'
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,716 | 4,716 |
CREATE TABLE `characters`
(
movie_title TEXT
primary key,
hero TEXT,
foreign key hero references "voice-actors"character
)
CREATE TABLE `director`
(
name TEXT
primary key,
director TEXT,
foreign key name references charactersmovie_title
)
CREATE TABLE `voice-actors`
(
CREATE TABLE "voice-actors"
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key movie references charactersmovie_title
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 11 |
medium
|
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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,
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
]
}
|
disney
|
Calculate the percentage of directors whose films grossed over $100 million.
|
DIVIDE(COUNT(director where total_gross > 100000000), COUNT(director)) as percentage;
|
SELECT CAST(COUNT(DISTINCT CASE WHEN CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) > 100000000 THEN T3.director ELSE NULL END) AS REAL) * 100 / COUNT(DISTINCT T3.director) FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title INNER JOIN director AS T3 ON T1.movie_title = T3.name
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,717 | 4,717 |
CREATE TABLE `characters`
(
movie_title TEXT
primary key
)
CREATE TABLE `director`
(
name TEXT
primary key,
director TEXT,
foreign key name references charactersmovie_title
)
CREATE TABLE `movies_total_gross`
(
movie_title TEXT,
total_gross TEXT,
primary key movie_title,
foreign key movie_title references charactersmovie_title
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"CASE",
"NULL",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 18 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
93,
451,
533
],
"case_4": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"case_5": [
0,
1,
4,
6,
11,
16,
22,
24,
27,
30,
36,
37,
42,
47,
51,
53,
55,
61,
62,
63,
64,
68,
69,
71,
73,
74,
75,
77,
81,
82,
86,
88,
91,
93,
96,
98,
106,
113,
115,
117,
118,
119,
120,
121,
125,
126,
127,
129,
131,
138,
140,
142,
143,
146,
148,
150,
152,
153,
155,
158,
159,
160,
164,
167,
169,
170,
171,
175,
179,
183,
184,
187,
188,
189,
190,
191,
192,
195,
196,
197,
199,
200,
201,
202,
206,
207,
212,
214,
215,
219,
223,
225,
226,
227,
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,
303,
304,
311,
314,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
354,
358,
360,
364,
370,
373,
374,
375,
382,
383,
384,
391,
392,
393,
394,
395,
398,
401,
402,
403,
406,
409,
411,
412,
415,
416,
417,
423,
424,
426,
427,
436,
438,
443,
444,
445,
448,
451,
452,
453,
454,
458,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
479,
483,
484,
485,
486,
487,
488,
490,
493,
500,
504,
505,
508,
509,
514,
515,
516,
517,
518,
519,
520,
522,
526,
528,
532,
533,
535,
536,
537,
538,
540,
544,
547,
548,
550,
552,
558,
559,
560,
563,
564,
566,
571,
573,
575,
580,
581,
582,
589,
595,
596,
597,
606,
608,
611,
613,
620,
623,
627,
628,
630,
632,
633,
634,
637,
640,
641,
645,
646,
649,
654,
658,
659,
662,
663,
665,
666,
668,
669,
671,
672,
676,
681,
682,
686,
687,
688,
690,
694,
696,
705,
706,
710,
712,
714,
721,
723,
724,
727,
733,
734,
735,
736,
739,
740,
743,
744,
747,
749,
750,
752,
753,
756,
760,
762,
768,
769,
772,
776,
778,
779,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
808,
810,
812,
813,
814,
818,
819,
824,
827,
830,
832,
837,
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,
915,
917,
918,
922,
923,
924,
926,
927,
930,
934,
935,
941,
943,
944,
950,
951,
954,
956,
958,
959,
961,
963,
969,
975,
977,
981,
985,
986,
993,
996,
998,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1022,
1023,
1036,
1037,
1042,
1043,
1047,
1048,
1050,
1051,
1058,
1062,
1064,
1066,
1067,
1069,
1071,
1072,
1078,
1082,
1084,
1086,
1087,
1092,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1112,
1119,
1123,
1124,
1128,
1129,
1131,
1133,
1134,
1135,
1137
]
}
|
disney
|
Calculate the percentage of voice actors whose main character in the movie is in the Drama genre.
|
DIVIDE(COUNT(voice-actor where genre = 'Drama'), COUNT(voice-actor)) as percentage;
|
SELECT CAST(COUNT(CASE WHEN T1.genre = 'Drama' THEN T3.`voice-actor` ELSE NULL END) AS REAL) * 100 / COUNT(T3.`voice-actor`) FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title INNER JOIN `voice-actors` AS T3 ON T3.movie = T1.movie_title
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,718 | 4,718 |
CREATE TABLE `characters`
(
movie_title TEXT
primary key
)
CREATE TABLE `movies_total_gross`
(
movie_title TEXT,
genre TEXT,
total_gross TEXT,
primary key movie_title,
foreign key movie_title references charactersmovie_title
)
CREATE TABLE `voice-actors`
(
CREATE TABLE "voice-actors"
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key movie references charactersmovie_title
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"CASE",
"-",
"NULL",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 19 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
93,
451,
533,
647,
1132
],
"case_4": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"case_5": [
0,
1,
3,
4,
6,
11,
16,
21,
22,
24,
27,
30,
34,
36,
37,
39,
42,
45,
47,
51,
53,
55,
61,
62,
63,
64,
68,
69,
71,
73,
74,
75,
77,
81,
82,
85,
86,
88,
91,
93,
96,
97,
98,
105,
106,
112,
113,
115,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
131,
135,
138,
140,
141,
142,
143,
146,
148,
150,
152,
153,
154,
155,
158,
159,
160,
164,
167,
169,
170,
171,
172,
173,
175,
179,
180,
183,
184,
187,
188,
189,
190,
191,
192,
195,
196,
197,
199,
200,
201,
202,
206,
207,
212,
214,
215,
219,
223,
225,
226,
227,
228,
229,
233,
234,
236,
240,
243,
244,
247,
248,
254,
256,
258,
261,
264,
267,
268,
269,
271,
272,
276,
277,
278,
279,
296,
298,
299,
300,
301,
303,
304,
311,
314,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
354,
356,
358,
360,
364,
368,
370,
373,
374,
375,
382,
383,
384,
391,
392,
393,
394,
395,
398,
401,
402,
403,
406,
409,
411,
412,
415,
416,
417,
423,
424,
425,
426,
427,
436,
438,
443,
444,
445,
446,
448,
451,
452,
453,
454,
458,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
479,
483,
484,
485,
486,
487,
488,
489,
490,
493,
496,
498,
500,
503,
504,
505,
507,
508,
509,
510,
514,
515,
516,
517,
518,
519,
520,
522,
526,
528,
529,
532,
533,
535,
536,
537,
538,
540,
544,
547,
548,
550,
552,
558,
559,
560,
562,
563,
564,
566,
571,
573,
575,
580,
581,
582,
589,
595,
596,
597,
601,
606,
608,
611,
613,
620,
623,
624,
627,
628,
630,
632,
633,
634,
637,
640,
641,
643,
645,
646,
647,
649,
654,
658,
659,
660,
662,
663,
665,
666,
668,
669,
671,
672,
675,
676,
677,
681,
682,
684,
686,
687,
688,
690,
693,
694,
695,
696,
705,
706,
710,
712,
714,
721,
723,
724,
727,
733,
734,
735,
736,
739,
740,
743,
744,
746,
747,
749,
750,
752,
753,
754,
756,
758,
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,
824,
827,
829,
830,
832,
835,
837,
838,
839,
841,
844,
848,
849,
851,
853,
857,
858,
866,
867,
868,
870,
871,
874,
876,
877,
878,
880,
882,
886,
888,
893,
894,
896,
897,
898,
901,
902,
905,
909,
911,
912,
915,
917,
918,
922,
923,
924,
925,
926,
927,
930,
934,
935,
941,
943,
944,
950,
951,
954,
956,
958,
959,
961,
963,
969,
974,
975,
977,
980,
981,
985,
986,
993,
996,
998,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1022,
1023,
1031,
1036,
1037,
1042,
1043,
1047,
1048,
1050,
1051,
1052,
1058,
1062,
1064,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1082,
1084,
1086,
1087,
1092,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1111,
1112,
1119,
1123,
1124,
1128,
1129,
1131,
1132,
1133,
1134,
1135,
1137
]
}
|
disney
|
Name the first movie released by Disney.
|
The first movie released refers to movie_title where substr(release_date, length(release_date) - 1, length(release_date)) asc limit 1;
|
SELECT movie_title FROM characters ORDER BY SUBSTR(release_date, LENGTH(release_date) - 1, LENGTH(release_date)) ASC LIMIT 1
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,719 | 4,719 |
CREATE TABLE `characters`
(
movie_title TEXT
primary key,
release_date TEXT
)
|
[
"SELECT",
"ORDER BY",
"LIMIT",
"ASC",
"LENGTH",
"SUBSTR",
"FROM"
] | 8 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
93,
237,
451
],
"case_4": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"case_5": [
1,
10,
11,
13,
15,
17,
20,
28,
29,
36,
38,
49,
55,
59,
62,
69,
73,
75,
78,
86,
89,
93,
108,
121,
125,
133,
138,
150,
159,
162,
163,
167,
173,
174,
179,
181,
185,
187,
188,
199,
202,
206,
208,
213,
229,
233,
237,
247,
252,
262,
275,
278,
281,
285,
286,
291,
309,
311,
313,
314,
319,
320,
324,
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,
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,
1076,
1077,
1083,
1094,
1124,
1137,
1139,
1141
]
}
|
disney
|
How many movies were released by Disney between 2010 and 2016?
|
Movies refer to movie_title; released between 2010 and 2016 refers to substr(release_date, length(release_date) - 1, length(release_date)) between '10' and '16';
|
SELECT COUNT(movie_title) FROM characters WHERE SUBSTR(release_date, LENGTH(release_date) - 1, LENGTH(release_date)) BETWEEN '10' AND '16'
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,720 | 4,720 |
CREATE TABLE `characters`
(
movie_title TEXT
primary key,
release_date TEXT
)
|
[
"AND",
"SELECT",
"LENGTH",
"SUBSTR",
"COUNT",
"BETWEEN",
"FROM"
] | 8 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
93,
237,
451
],
"case_4": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"case_5": [
2,
4,
10,
22,
30,
32,
37,
39,
40,
43,
47,
50,
51,
53,
63,
67,
68,
69,
73,
74,
75,
76,
79,
88,
89,
93,
96,
98,
109,
113,
115,
117,
118,
119,
125,
131,
142,
143,
146,
152,
160,
164,
169,
170,
173,
175,
183,
184,
187,
189,
197,
214,
219,
223,
227,
230,
237,
244,
256,
259,
267,
268,
276,
277,
294,
301,
305,
314,
317,
319,
325,
330,
339,
341,
350,
370,
374,
382,
383,
391,
399,
403,
406,
409,
416,
417,
418,
421,
424,
426,
436,
444,
448,
451,
463,
464,
469,
476,
477,
482,
490,
493,
500,
510,
512,
515,
516,
519,
520,
526,
530,
537,
544,
554,
558,
559,
562,
563,
581,
582,
591,
594,
595,
608,
613,
618,
627,
632,
633,
641,
656,
663,
667,
668,
671,
677,
680,
686,
687,
692,
707,
712,
714,
718,
719,
727,
730,
734,
735,
739,
740,
743,
749,
753,
756,
760,
768,
777,
788,
797,
798,
799,
800,
804,
810,
814,
817,
819,
820,
824,
830,
831,
838,
843,
849,
851,
853,
864,
867,
870,
877,
886,
888,
896,
902,
903,
917,
923,
924,
930,
935,
945,
954,
956,
958,
961,
965,
969,
985,
986,
996,
1008,
1014,
1020,
1022,
1023,
1042,
1058,
1059,
1064,
1067,
1071,
1072,
1079,
1081,
1084,
1086,
1092,
1100,
1101,
1103,
1104,
1119,
1121,
1123,
1126,
1128,
1131
]
}
|
disney
|
Who was the first ever Disney villain?
|
the first ever villian is villian that was released before all others in time which refers to substr(release_date, length(release_date) - 1, length(release_date)) desc limit 1;
|
SELECT villian FROM characters ORDER BY SUBSTR(release_date, LENGTH(release_date) - 1, LENGTH(release_date)) DESC LIMIT 1
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,721 | 4,721 |
CREATE TABLE `characters`
(
release_date TEXT,
villian TEXT
)
|
[
"SELECT",
"ORDER BY",
"LIMIT",
"LENGTH",
"SUBSTR",
"FROM",
"DESC"
] | 8 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
93,
237,
451
],
"case_4": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"case_5": [
1,
10,
11,
13,
15,
17,
20,
28,
29,
36,
38,
43,
49,
55,
59,
62,
69,
73,
75,
78,
86,
89,
93,
108,
121,
125,
133,
138,
150,
159,
162,
163,
167,
173,
174,
179,
181,
185,
187,
188,
199,
202,
206,
208,
213,
229,
233,
237,
247,
252,
262,
263,
275,
278,
281,
285,
286,
291,
309,
311,
313,
314,
319,
320,
324,
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,
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,
1076,
1077,
1083,
1094,
1124,
1137,
1139,
1141
]
}
|
disney
|
What is Disney's highest grossing action movie?
|
action movie refers to movie_title where genre = 'Action'; highest grossing movie refers to MAX(total_gross)
|
SELECT movie_title FROM movies_total_gross WHERE genre = 'Action' ORDER BY CAST(REPLACE(trim(total_gross, '$'), ',', '') AS REAL) DESC LIMIT 1
|
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,722 | 4,722 |
CREATE TABLE `movies_total_gross`
(
movie_title TEXT,
genre TEXT,
total_gross TEXT,
primary key movie_title,
foreign key movie_title references charactersmovie_title
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"DESC",
"CAST",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
93,
451
],
"case_4": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"case_5": [
1,
6,
10,
11,
13,
15,
16,
17,
20,
24,
28,
29,
35,
36,
38,
43,
49,
55,
59,
61,
62,
64,
69,
73,
75,
77,
78,
86,
87,
89,
93,
106,
108,
113,
119,
120,
121,
125,
133,
138,
148,
150,
152,
159,
162,
163,
167,
173,
174,
179,
181,
184,
185,
187,
188,
192,
195,
199,
200,
201,
202,
206,
208,
212,
213,
215,
223,
225,
226,
229,
233,
234,
236,
239,
247,
248,
252,
254,
261,
262,
263,
264,
267,
271,
275,
278,
281,
285,
286,
291,
300,
304,
309,
311,
313,
314,
316,
317,
319,
320,
322,
323,
324,
329,
334,
335,
336,
337,
341,
342,
345,
347,
348,
349,
352,
353,
356,
359,
360,
364,
365,
367,
371,
373,
375,
378,
379,
380,
381,
383,
385,
394,
395,
400,
403,
404,
406,
409,
411,
412,
423,
428,
429,
434,
435,
444,
445,
448,
451,
452,
453,
454,
458,
460,
462,
469,
476,
478,
482,
483,
485,
487,
495,
497,
500,
504,
505,
510,
517,
527,
530,
532,
534,
535,
536,
537,
538,
540,
542,
547,
548,
552,
555,
560,
563,
564,
566,
567,
575,
576,
578,
579,
580,
581,
583,
584,
586,
590,
592,
595,
597,
611,
619,
620,
621,
623,
625,
626,
634,
637,
638,
645,
654,
657,
658,
659,
661,
662,
664,
665,
669,
676,
681,
686,
688,
690,
691,
698,
701,
703,
708,
710,
713,
719,
732,
733,
735,
740,
744,
748,
750,
752,
753,
759,
760,
762,
768,
772,
778,
787,
790,
795,
796,
798,
800,
802,
803,
808,
810,
813,
815,
818,
823,
827,
830,
832,
836,
841,
850,
851,
861,
866,
869,
870,
874,
876,
886,
889,
891,
893,
894,
896,
898,
901,
909,
911,
912,
913,
918,
922,
924,
926,
927,
929,
934,
943,
946,
950,
951,
953,
954,
956,
958,
959,
962,
963,
966,
967,
970,
972,
973,
975,
977,
981,
983,
985,
987,
989,
994,
998,
1004,
1005,
1006,
1008,
1010,
1013,
1017,
1023,
1024,
1025,
1030,
1034,
1037,
1038,
1047,
1049,
1050,
1051,
1056,
1057,
1062,
1064,
1065,
1067,
1068,
1069,
1070,
1072,
1075,
1076,
1077,
1078,
1082,
1083,
1087,
1094,
1121,
1124,
1128,
1137,
1139,
1141
]
}
|
disney
|
Which actor voices Akela from The Jungle Book?
|
Akela refers character = 'Akela'; which actor voices refers to voice-actor;
|
SELECT `voice-actor` FROM `voice-actors` WHERE character = 'Akela'
|
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,723 | 4,723 |
CREATE TABLE `voice-actors`
(
CREATE TABLE "voice-actors"
character TEXT
primary key,
"voice-actor" TEXT
)
|
[
"-",
"SELECT",
"FROM"
] | 4 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"case_4": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
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35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
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54,
55,
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57,
58,
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60,
61,
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63,
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65,
66,
67,
68,
69,
70,
71,
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73,
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80,
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90,
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100,
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133,
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140,
141,
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151,
152,
153,
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155,
156,
157,
158,
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160,
161,
162,
163,
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165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
365,
366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
disney
|
Determine Disney's total box office gross between 2010 and 2016.
|
between 2010 and 2016 refers to Year between 2010 and 2016;
|
SELECT SUM(Total) FROM revenue WHERE `Year` BETWEEN 2010 AND 2016
|
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,724 | 4,724 |
CREATE TABLE `revenue`
(
Year INTEGER
primary key,
Total INTEGER
)
|
[
"AND",
"SELECT",
"SUM",
"BETWEEN",
"FROM"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
93,
451,
533
],
"case_4": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"case_5": [
2,
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,
61,
63,
64,
66,
67,
68,
69,
71,
73,
74,
75,
76,
77,
79,
81,
83,
85,
87,
88,
90,
93,
94,
95,
96,
98,
99,
100,
104,
109,
111,
112,
113,
115,
116,
117,
118,
119,
120,
122,
125,
127,
128,
129,
131,
138,
141,
142,
143,
144,
146,
148,
152,
153,
154,
155,
158,
160,
163,
164,
168,
169,
170,
172,
173,
175,
176,
177,
180,
183,
184,
186,
187,
189,
191,
192,
195,
197,
200,
201,
205,
207,
212,
213,
214,
215,
219,
223,
225,
226,
227,
228,
230,
234,
236,
239,
240,
244,
245,
248,
254,
255,
256,
258,
259,
261,
262,
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,
350,
356,
360,
361,
362,
363,
365,
367,
368,
370,
374,
376,
378,
379,
381,
382,
383,
385,
391,
393,
395,
398,
399,
402,
403,
405,
406,
408,
409,
412,
413,
414,
415,
416,
417,
418,
419,
421,
424,
425,
426,
427,
428,
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,
526,
527,
528,
529,
530,
533,
535,
537,
539,
540,
541,
544,
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,
599,
601,
605,
608,
609,
610,
612,
613,
615,
618,
622,
623,
624,
625,
626,
627,
628,
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,
739,
740,
741,
743,
744,
745,
746,
747,
749,
750,
753,
754,
756,
758,
760,
762,
763,
765,
767,
768,
773,
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,
829,
830,
831,
832,
835,
838,
840,
841,
843,
844,
848,
849,
851,
853,
855,
858,
859,
860,
861,
864,
867,
868,
870,
871,
872,
873,
874,
877,
878,
879,
886,
888,
892,
894,
895,
896,
902,
903,
905,
907,
909,
912,
913,
917,
920,
922,
923,
924,
928,
929,
930,
931,
932,
935,
939,
943,
944,
945,
949,
953,
954,
956,
958,
959,
961,
962,
965,
969,
973,
974,
979,
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,
1058,
1059,
1061,
1063,
1064,
1067,
1068,
1069,
1071,
1072,
1073,
1078,
1079,
1080,
1081,
1082,
1084,
1086,
1087,
1092,
1093,
1098,
1100,
1101,
1103,
1104,
1105,
1109,
1110,
1115,
1117,
1119,
1121,
1123,
1126,
1128,
1131,
1135,
1136
]
}
|
disney
|
Name the main character of Disney's most popular adventure movie based on its inflation-adjusted gross.
|
adventure movie refers to genre = 'Adventure'; the main character of the movie refers to hero; most popular movie based on its inflation-adjusted gross refers to where MAX(inflation_adjusted_gross);
|
SELECT T2.hero FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title WHERE T1.genre = 'Adventure' ORDER BY CAST(REPLACE(trim(T1.inflation_adjusted_gross, '$'), ',', '') AS REAL) DESC LIMIT 1
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,725 | 4,725 |
CREATE TABLE `characters`
(
movie_title TEXT
primary key,
hero TEXT,
foreign key hero references "voice-actors"character
)
CREATE TABLE `movies_total_gross`
(
movie_title TEXT,
genre TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key movie_title,
foreign key movie_title references charactersmovie_title
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"CAST",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
],
"case_2": [
451
],
"case_3": [
93,
451,
456,
533,
639,
647,
852,
1132
],
"case_4": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"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,
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315,
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318,
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320,
321,
322,
323,
324,
325,
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330,
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348,
349,
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353,
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356,
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358,
359,
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379,
381,
382,
383,
384,
385,
386,
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390,
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392,
393,
394,
395,
398,
400,
401,
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403,
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405,
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432,
433,
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505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
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522,
523,
524,
526,
528,
529,
530,
532,
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534,
535,
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544,
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550,
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555,
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590,
592,
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595,
596,
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600,
602,
605,
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613,
614,
615,
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619,
620,
621,
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670,
671,
672,
674,
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681,
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690,
691,
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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,
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822,
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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,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
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,
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1071,
1072,
1074,
1075,
1076,
1077,
1078,
1080,
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1084,
1085,
1086,
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1092,
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1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
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1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1139,
1141
]
}
|
disney
|
Name the director of Disney's lowest grossing movie.
|
lowest grossing movie refers to movie_title where MIN(total_gross);
|
SELECT T2.director FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name ORDER BY CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) ASC LIMIT 1
|
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,726 | 4,726 |
CREATE TABLE `director`
(
name TEXT
primary key,
director TEXT,
foreign key name references charactersmovie_title
)
CREATE TABLE `movies_total_gross`
(
movie_title TEXT,
total_gross TEXT,
primary key movie_title,
foreign key movie_title references charactersmovie_title
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"ASC",
"CAST",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
],
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93
],
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93,
451,
456,
533,
639,
647,
852,
1132
],
"case_4": [
60,
93,
237,
451,
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],
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1019,
1022,
1023,
1024,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
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1041,
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1100,
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1103,
1104,
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1106,
1109,
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1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
disney
|
Find out what proportion of total revenue Walt Disney Parks and Resorts received in 2010.
|
DIVIDE(Walt Disney Parks and Resorts where year = 2010), SUM(year = 2010) as percentage;
|
SELECT SUM(`Walt Disney Parks and Resorts`) / SUM(Total) * 100 FROM revenue WHERE year = 2010
|
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,727 | 4,727 |
CREATE TABLE `revenue`
(
"Walt Disney Parks and Resorts" REAL,
Total INTEGER
)
|
[
"and",
"SUM",
"SELECT",
"FROM"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
93
],
"case_4": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"case_5": [
6,
24,
35,
39,
42,
54,
61,
64,
71,
77,
81,
83,
87,
93,
94,
104,
112,
113,
120,
122,
127,
129,
141,
148,
153,
155,
169,
173,
175,
184,
186,
189,
191,
192,
195,
201,
205,
207,
212,
213,
215,
219,
223,
225,
226,
228,
234,
236,
245,
248,
254,
261,
264,
271,
274,
279,
285,
290,
300,
304,
313,
316,
317,
323,
335,
347,
350,
356,
360,
363,
365,
376,
378,
379,
381,
383,
402,
409,
412,
415,
427,
438,
448,
450,
452,
453,
470,
476,
483,
486,
487,
488,
500,
504,
506,
510,
517,
518,
527,
535,
537,
540,
547,
550,
563,
564,
571,
575,
579,
580,
581,
597,
609,
612,
623,
628,
630,
638,
640,
649,
650,
658,
662,
666,
676,
682,
686,
690,
695,
701,
709,
710,
717,
723,
740,
744,
745,
747,
750,
753,
762,
776,
777,
787,
788,
795,
796,
798,
800,
802,
808,
810,
813,
823,
825,
827,
832,
841,
848,
868,
870,
871,
872,
874,
875,
894,
896,
909,
912,
913,
922,
924,
929,
933,
939,
943,
944,
958,
959,
962,
973,
979,
987,
991,
998,
1008,
1012,
1023,
1027,
1031,
1038,
1064,
1068,
1069,
1078,
1082,
1087,
1092,
1093,
1098,
1100,
1110,
1121,
1135
]
}
|
disney
|
Determine the average gross for Disney's PG-13-rated action movies.
|
DIVIDE(SUM(total_gross where genre = 'Action' and MPAA_rating = 'PG-13'), COUNT(movie_title where genre = 'Action' and MPAA_rating = 'PG-13'));
|
SELECT SUM(CAST(REPLACE(trim(total_gross, '$'), ',', '') AS REAL)) / COUNT(movie_title) FROM movies_total_gross WHERE MPAA_rating = 'PG-13'
|
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,728 | 4,728 |
CREATE TABLE `movies_total_gross`
(
movie_title TEXT,
MPAA_rating TEXT,
total_gross TEXT,
primary key movie_title,
foreign key movie_title references charactersmovie_title
)
|
[
"AS",
"SELECT",
"SUM",
"-",
"CAST",
"COUNT",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
93,
451,
647,
1132
],
"case_4": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"case_5": [
0,
1,
2,
3,
4,
6,
10,
11,
16,
21,
22,
24,
27,
30,
32,
34,
35,
36,
37,
39,
42,
45,
47,
51,
53,
55,
61,
62,
63,
64,
68,
69,
71,
73,
74,
75,
77,
81,
82,
83,
85,
86,
87,
88,
89,
91,
93,
94,
96,
97,
98,
104,
105,
106,
112,
113,
115,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
131,
135,
140,
141,
142,
143,
146,
148,
152,
153,
154,
155,
158,
159,
160,
164,
167,
169,
170,
172,
173,
175,
179,
180,
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,
240,
243,
244,
247,
248,
254,
256,
259,
261,
264,
267,
268,
269,
271,
272,
276,
277,
278,
279,
286,
296,
299,
300,
301,
303,
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,
367,
368,
370,
373,
374,
375,
378,
379,
380,
381,
382,
383,
384,
391,
392,
393,
394,
401,
402,
403,
406,
409,
411,
412,
415,
416,
417,
423,
424,
425,
426,
427,
436,
438,
443,
444,
445,
446,
447,
448,
450,
451,
452,
453,
454,
458,
460,
462,
464,
465,
466,
467,
469,
470,
471,
473,
476,
477,
478,
483,
484,
485,
486,
487,
488,
489,
490,
493,
496,
498,
500,
503,
504,
505,
506,
507,
509,
510,
514,
515,
516,
517,
518,
519,
520,
522,
526,
527,
529,
532,
535,
536,
537,
538,
540,
542,
544,
547,
548,
550,
552,
558,
559,
560,
562,
563,
564,
566,
571,
573,
575,
579,
580,
581,
582,
595,
596,
597,
601,
606,
608,
609,
611,
612,
613,
620,
623,
624,
627,
628,
630,
632,
633,
634,
638,
640,
641,
643,
645,
646,
647,
649,
650,
654,
658,
659,
660,
661,
662,
663,
665,
666,
667,
668,
669,
671,
675,
676,
677,
681,
682,
684,
686,
687,
688,
690,
693,
694,
695,
696,
701,
705,
709,
710,
712,
714,
717,
721,
723,
727,
733,
734,
735,
736,
737,
739,
740,
743,
744,
745,
746,
747,
749,
750,
752,
753,
754,
756,
758,
760,
762,
768,
769,
770,
772,
776,
777,
778,
779,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
808,
810,
812,
813,
814,
817,
818,
819,
823,
824,
825,
827,
829,
830,
832,
835,
838,
839,
841,
848,
849,
851,
853,
857,
858,
866,
867,
868,
870,
871,
874,
876,
877,
878,
882,
886,
888,
893,
894,
896,
897,
898,
901,
902,
905,
909,
911,
912,
913,
915,
917,
918,
922,
923,
924,
925,
926,
927,
929,
930,
934,
935,
941,
943,
944,
950,
951,
954,
956,
958,
959,
961,
962,
963,
969,
973,
974,
975,
977,
979,
980,
981,
985,
986,
993,
996,
998,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1022,
1023,
1027,
1031,
1037,
1038,
1042,
1043,
1047,
1050,
1051,
1052,
1057,
1058,
1062,
1064,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1082,
1084,
1086,
1087,
1092,
1093,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1111,
1112,
1113,
1119,
1121,
1123,
1124,
1128,
1131,
1132,
1133,
1134,
1135,
1137
]
}
|
disney
|
How many voice-actors were involved in the Bambi movie?
|
Bambi is the name of the movie which refers to movie = 'Bambi';
|
SELECT COUNT(DISTINCT 'voice-actor') FROM `voice-actors` WHERE movie = 'Bambi'
|
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,729 | 4,729 |
CREATE TABLE `voice-actors`
(
CREATE TABLE "voice-actors"
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key movie references charactersmovie_title
)
|
[
"COUNT",
"-",
"SELECT",
"FROM"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
93,
647,
1132
],
"case_4": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"case_5": [
0,
1,
2,
3,
4,
6,
9,
11,
13,
15,
16,
21,
22,
25,
27,
28,
30,
32,
34,
35,
36,
37,
39,
40,
42,
43,
45,
47,
51,
53,
55,
61,
62,
63,
67,
68,
69,
73,
74,
75,
77,
78,
79,
82,
85,
86,
87,
88,
89,
91,
93,
96,
97,
98,
105,
106,
108,
109,
112,
113,
115,
117,
118,
119,
121,
124,
125,
126,
128,
131,
135,
140,
141,
142,
143,
146,
147,
148,
152,
154,
157,
158,
159,
160,
164,
167,
169,
170,
172,
173,
175,
179,
180,
182,
183,
184,
185,
187,
188,
189,
190,
191,
192,
196,
197,
198,
199,
202,
203,
206,
210,
212,
214,
216,
224,
225,
226,
227,
228,
229,
230,
233,
234,
240,
243,
244,
247,
252,
253,
254,
256,
259,
261,
267,
268,
269,
271,
272,
273,
276,
277,
286,
291,
293,
294,
296,
299,
300,
301,
303,
311,
314,
316,
317,
319,
320,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
348,
349,
352,
354,
356,
358,
359,
360,
362,
364,
368,
370,
371,
373,
374,
375,
380,
382,
383,
384,
391,
392,
393,
394,
396,
399,
401,
403,
406,
409,
410,
411,
412,
416,
417,
420,
421,
423,
424,
425,
426,
436,
443,
444,
445,
446,
447,
448,
453,
454,
458,
460,
462,
464,
465,
466,
467,
469,
471,
473,
476,
477,
478,
481,
484,
485,
487,
488,
489,
490,
493,
496,
498,
500,
503,
504,
505,
507,
509,
510,
512,
514,
515,
516,
517,
519,
520,
522,
526,
529,
531,
532,
535,
536,
537,
538,
542,
543,
544,
545,
547,
548,
550,
552,
554,
558,
559,
560,
562,
563,
564,
566,
573,
580,
581,
582,
585,
591,
594,
595,
596,
597,
598,
601,
603,
606,
608,
611,
613,
617,
618,
620,
624,
627,
629,
630,
632,
633,
634,
641,
643,
645,
646,
647,
649,
654,
656,
658,
659,
660,
661,
662,
663,
664,
665,
667,
668,
669,
671,
673,
675,
677,
679,
680,
681,
684,
687,
688,
689,
692,
693,
694,
695,
696,
698,
703,
705,
707,
709,
712,
714,
718,
719,
721,
727,
729,
730,
733,
734,
735,
736,
737,
739,
740,
743,
746,
748,
749,
750,
752,
753,
754,
756,
757,
758,
760,
762,
768,
769,
770,
772,
777,
778,
779,
785,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
811,
812,
813,
814,
817,
818,
819,
820,
821,
824,
826,
827,
829,
830,
831,
835,
838,
839,
841,
843,
849,
851,
853,
857,
858,
864,
865,
866,
867,
869,
870,
874,
876,
877,
878,
882,
886,
888,
890,
893,
894,
896,
897,
898,
899,
901,
902,
903,
905,
909,
911,
912,
913,
915,
917,
918,
922,
923,
924,
925,
926,
927,
930,
934,
935,
941,
942,
943,
945,
950,
951,
954,
955,
956,
958,
959,
960,
961,
963,
965,
968,
969,
972,
974,
975,
976,
977,
979,
980,
981,
983,
985,
986,
993,
996,
1005,
1006,
1008,
1010,
1011,
1013,
1014,
1015,
1020,
1022,
1023,
1030,
1031,
1037,
1042,
1043,
1047,
1050,
1051,
1052,
1053,
1055,
1057,
1058,
1059,
1062,
1064,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1076,
1077,
1078,
1079,
1082,
1084,
1086,
1087,
1090,
1092,
1093,
1094,
1096,
1100,
1101,
1103,
1104,
1106,
1111,
1112,
1113,
1119,
1121,
1123,
1124,
1126,
1127,
1128,
1131,
1132,
1133,
1134,
1135,
1137
]
}
|
disney
|
Find the estimated inflation rate that was used to adjust the 1995 box office revenue for Disney's films.
|
DIVIDE(inflation_adjusted_gross, total_gross) as percentage where substr(release_date, length(release_date) - 3, length(release_date)) = '1995';
|
SELECT SUM(CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL)) / SUM(CAST(REPLACE(trim(total_gross, '$'), ',', '') AS REAL)) FROM movies_total_gross WHERE SUBSTR(release_date, LENGTH(release_date) - 3, LENGTH(release_date)) = '1995' GROUP BY SUBSTR(release_date, LENGTH(release_date) - 3, LENGTH(release_date)) = '1995'
|
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,730 | 4,730 |
CREATE TABLE `movies_total_gross`
(
release_date TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT, release_date
)
|
[
"GROUP BY",
"AS",
"SELECT",
"SUM",
"LENGTH",
"SUBSTR",
"CAST",
"FROM"
] | 15 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
93,
451
],
"case_4": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"case_5": [
6,
24,
35,
61,
64,
77,
87,
89,
93,
113,
120,
148,
169,
184,
189,
191,
192,
195,
201,
212,
213,
215,
219,
223,
225,
226,
234,
236,
248,
254,
261,
264,
271,
300,
304,
313,
316,
317,
323,
335,
347,
356,
360,
365,
378,
379,
381,
383,
409,
412,
448,
451,
452,
453,
476,
483,
487,
500,
504,
510,
517,
527,
535,
537,
540,
547,
560,
563,
564,
575,
579,
580,
581,
597,
623,
630,
638,
658,
662,
676,
686,
690,
701,
710,
740,
744,
750,
753,
762,
787,
795,
796,
798,
800,
802,
808,
810,
813,
823,
827,
832,
841,
870,
874,
894,
896,
909,
912,
913,
922,
924,
929,
943,
958,
959,
962,
973,
998,
1008,
1023,
1064,
1069,
1070,
1078,
1082,
1087,
1121,
1135
]
}
|
disney
|
What is the difference in the current gross of Cars and its sequel, Cars 2? Which movie is more popular?
|
SUBTRACT(inflation_adjusted_gross where movie_title = 'Cars', inflation_adjusted_gross where movie_title = 'Cars 2'); more popular movie refers to movie_title where MAX(inflation_adjusted_gross);
|
SELECT SUM(CASE WHEN movie_title = 'Cars' THEN CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL) ELSE 0 END), SUM(CASE WHEN movie_title = 'Cars 2' THEN CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL) ELSE 0 END) FROM movies_total_gross
|
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,731 | 4,731 |
CREATE TABLE `movies_total_gross`
(
movie_title TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key movie_title,
foreign key movie_title references charactersmovie_title
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"CAST",
"FROM"
] | 12 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
93,
451
],
"case_4": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"case_5": [
0,
6,
10,
16,
24,
35,
39,
42,
54,
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93,
94,
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113,
119,
120,
122,
127,
129,
141,
148,
152,
153,
155,
158,
169,
171,
173,
184,
186,
189,
191,
192,
195,
201,
205,
207,
212,
213,
215,
219,
223,
225,
226,
228,
234,
236,
245,
248,
254,
258,
261,
263,
264,
267,
271,
278,
279,
298,
299,
300,
303,
304,
305,
313,
316,
317,
322,
323,
335,
347,
356,
360,
362,
363,
365,
367,
375,
378,
379,
380,
381,
383,
393,
398,
402,
406,
409,
412,
415,
423,
427,
438,
443,
448,
450,
451,
452,
453,
458,
470,
476,
478,
479,
483,
485,
486,
487,
488,
500,
504,
506,
508,
510,
514,
517,
518,
527,
528,
535,
537,
540,
547,
550,
560,
563,
564,
571,
573,
575,
579,
580,
581,
597,
601,
609,
612,
620,
623,
628,
630,
638,
640,
646,
650,
658,
661,
662,
666,
672,
676,
682,
686,
690,
695,
701,
706,
709,
710,
717,
723,
740,
744,
745,
747,
750,
753,
762,
772,
776,
777,
787,
788,
795,
796,
798,
800,
802,
805,
808,
810,
813,
823,
825,
827,
832,
841,
844,
848,
868,
870,
871,
872,
874,
880,
894,
896,
898,
909,
912,
913,
922,
924,
926,
929,
939,
941,
943,
944,
958,
959,
962,
973,
978,
979,
985,
998,
1004,
1008,
1012,
1023,
1027,
1031,
1036,
1038,
1048,
1062,
1064,
1066,
1068,
1069,
1070,
1072,
1075,
1078,
1082,
1087,
1092,
1093,
1098,
1100,
1110,
1121,
1128,
1129,
1131,
1133,
1134,
1135
]
}
|
disney
|
Name the most recent movie directed by Chris Buck. Which of his movies was more successful in terms of grossing? Use the current gross for comparison.
|
Chris Buck refers to director = 'Chris Buck'; the most recent movie refers to movie_title where MAX(release_date); current gross refers to inflation_adjusted_gross; more successful movie refers to MAX(inflation_adjusted_gross);
|
SELECT T1.movie_title, MAX(T1.release_date), MAX(T1.inflation_adjusted_gross) FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Chris Buck'
|
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,732 | 4,732 |
CREATE TABLE `director`
(
name TEXT
primary key,
director TEXT,
foreign key name references charactersmovie_title
)
CREATE TABLE `movies_total_gross`
(
movie_title TEXT,
release_date TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key movie_title, release_date,
foreign key movie_title references charactersmovie_title
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM",
"MAX"
] | 8 |
simple
|
{
"case_1": [
-1
],
"case_2": [
93
],
"case_3": [
93,
451,
456,
533,
639,
647,
852,
1132
],
"case_4": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"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,
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47,
48,
49,
51,
52,
53,
55,
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63,
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65,
66,
68,
69,
70,
71,
72,
73,
74,
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80,
81,
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85,
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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,
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,
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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,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
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
]
}
|
disney
|
Name actors who voiced more than five Disney characters.
|
Actors who voiced refer to voice-actor;
|
SELECT 'voice-actor' FROM `voice-actors` GROUP BY 'voice-actor' HAVING COUNT(movie) > 5
|
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,733 | 4,733 |
CREATE TABLE `voice-actors`
(
CREATE TABLE "voice-actors"
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key movie references charactersmovie_title
)
|
[
"GROUP BY",
"SELECT",
"HAVING",
"-",
"COUNT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"case_5": [
1,
2,
11,
13,
15,
22,
28,
32,
36,
55,
62,
69,
73,
74,
75,
78,
86,
89,
98,
108,
115,
121,
125,
126,
140,
142,
143,
148,
159,
167,
169,
173,
179,
182,
183,
184,
187,
188,
189,
191,
197,
199,
202,
206,
214,
229,
233,
244,
247,
252,
259,
286,
311,
314,
319,
320,
325,
334,
339,
341,
344,
345,
348,
349,
352,
356,
359,
364,
371,
373,
382,
383,
391,
392,
394,
403,
409,
411,
416,
424,
436,
444,
445,
448,
454,
460,
462,
466,
473,
481,
505,
509,
510,
520,
532,
536,
538,
542,
544,
548,
552,
559,
560,
566,
580,
595,
611,
630,
634,
645,
649,
654,
659,
664,
665,
667,
669,
681,
688,
696,
698,
703,
718,
719,
721,
733,
735,
737,
743,
748,
752,
756,
760,
768,
770,
778,
779,
790,
795,
798,
817,
818,
827,
830,
838,
851,
866,
869,
870,
876,
882,
886,
893,
901,
911,
918,
922,
927,
930,
934,
943,
950,
951,
954,
956,
963,
972,
975,
977,
981,
985,
993,
1005,
1006,
1010,
1013,
1030,
1037,
1043,
1047,
1050,
1051,
1057,
1067,
1070,
1076,
1077,
1078,
1094,
1101,
1106,
1123,
1124,
1135,
1137
]
}
|
disney
|
Name the top 5 highest-grossing Disney movies adjusted for inflation. Identify the percentage they contributed to the total of Disney's current gross.
|
The top 5 highest-grossing movies adjusted for inflation refer to MAX(inflation_adjusted_gross)LIMIT 5; DIVIDE(SUM(MAX(inflation_adjusted_gross LIMIT 5)), SUM(inflation_adjusted_gross)) as percentage;
|
SELECT SUM(CASE WHEN CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL) > 1236035515 THEN CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL) ELSE 0 END) * 100 / SUM(CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL)) FROM movies_total_gross
|
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,734 | 4,734 |
CREATE TABLE `movies_total_gross`
(
total_gross TEXT,
inflation_adjusted_gross TEXT
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"CAST",
"FROM"
] | 12 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
93,
451
],
"case_4": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"case_5": [
0,
6,
10,
16,
24,
35,
39,
42,
54,
61,
64,
71,
77,
81,
83,
87,
93,
94,
104,
106,
112,
113,
119,
120,
122,
127,
129,
141,
148,
152,
153,
155,
158,
169,
171,
173,
184,
186,
189,
191,
192,
195,
201,
205,
207,
212,
213,
215,
219,
223,
225,
226,
228,
234,
236,
245,
248,
254,
258,
261,
263,
264,
267,
271,
278,
279,
298,
299,
300,
303,
304,
305,
313,
316,
317,
322,
323,
335,
347,
356,
360,
362,
363,
365,
367,
375,
378,
379,
380,
381,
383,
393,
398,
402,
406,
409,
412,
415,
423,
427,
438,
443,
448,
450,
451,
452,
453,
458,
470,
476,
478,
479,
483,
485,
486,
487,
488,
500,
504,
506,
508,
510,
514,
517,
518,
527,
528,
535,
537,
540,
547,
550,
560,
563,
564,
571,
573,
575,
579,
580,
581,
597,
601,
609,
612,
620,
623,
628,
630,
638,
640,
646,
650,
658,
661,
662,
666,
672,
676,
682,
686,
690,
695,
701,
706,
709,
710,
717,
723,
740,
744,
745,
747,
750,
753,
762,
772,
776,
777,
787,
788,
795,
796,
798,
800,
802,
805,
808,
810,
813,
823,
825,
827,
832,
841,
844,
848,
868,
870,
871,
872,
874,
880,
894,
896,
898,
909,
912,
913,
922,
924,
926,
929,
939,
941,
943,
944,
958,
959,
962,
973,
978,
979,
985,
998,
1004,
1008,
1012,
1023,
1027,
1031,
1036,
1038,
1048,
1062,
1064,
1066,
1068,
1069,
1070,
1072,
1075,
1078,
1082,
1087,
1092,
1093,
1098,
1100,
1110,
1121,
1128,
1129,
1131,
1133,
1134,
1135
]
}
|
disney
|
Among all Disney movies directed by Gary Trousdale, determine the percentage that earned over USD100m based on actual grossing.
|
DIVIDE(COUNT(movie_title where director = 'Gary Trousdale' and total_gross > 100000000), COUNT(movie_title where director = 'Gary Trousdale')) as percentage;
|
SELECT CAST(COUNT(CASE WHEN CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) > 100000000 THEN T1.movie_title ELSE NULL END) AS REAL) * 100 / COUNT(T1.movie_title) FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Gary Trousdale'
|
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
|
CREATE TABLE characters
(
movie_title TEXT
primary key,
release_date TEXT,
hero TEXT,
villian TEXT,
song TEXT,
foreign key (hero) references "voice-actors"(character)
)
CREATE TABLE director
(
name TEXT
primary key,
director TEXT,
foreign key (name) references characters(movie_title)
)
CREATE TABLE movies_total_gross
(
movie_title TEXT,
release_date TEXT,
genre TEXT,
MPAA_rating TEXT,
total_gross TEXT,
inflation_adjusted_gross TEXT,
primary key (movie_title, release_date),
foreign key (movie_title) references characters(movie_title)
)
CREATE TABLE revenue
(
Year INTEGER
primary key,
"Studio Entertainment[NI 1]" REAL,
"Disney Consumer Products[NI 2]" REAL,
"Disney Interactive[NI 3][Rev 1]" INTEGER,
"Walt Disney Parks and Resorts" REAL,
"Disney Media Networks" TEXT,
Total INTEGER
)
CREATE TABLE "voice-actors"
(
character TEXT
primary key,
"voice-actor" TEXT,
movie TEXT,
foreign key (movie) references characters(movie_title)
)
|
na
| 4,735 | 4,735 |
CREATE TABLE `director`
(
name TEXT
primary key,
director TEXT,
foreign key name references charactersmovie_title
)
CREATE TABLE `movies_total_gross`
(
movie_title TEXT,
total_gross TEXT,
primary key movie_title,
foreign key movie_title references charactersmovie_title
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"CASE",
"NULL",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 15 |
medium
|
{
"case_1": [
-1
],
"case_2": [
93
],
"case_3": [
93,
451,
533
],
"case_4": [
60,
93,
237,
451,
456,
533,
639,
647,
852,
1125,
1132
],
"case_5": [
0,
1,
4,
6,
11,
16,
22,
24,
27,
30,
36,
37,
42,
47,
51,
53,
55,
61,
62,
63,
64,
68,
69,
71,
73,
74,
75,
77,
81,
82,
86,
88,
91,
93,
96,
98,
106,
113,
115,
117,
118,
119,
120,
121,
125,
126,
127,
129,
131,
138,
140,
142,
143,
146,
148,
150,
152,
153,
155,
158,
159,
160,
164,
167,
169,
170,
171,
175,
179,
183,
184,
187,
188,
189,
190,
191,
192,
195,
196,
197,
199,
200,
201,
202,
206,
207,
212,
214,
215,
219,
223,
225,
226,
227,
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,
303,
304,
311,
314,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
354,
358,
360,
364,
370,
373,
374,
375,
382,
383,
384,
391,
392,
393,
394,
395,
398,
401,
402,
403,
406,
409,
411,
412,
415,
416,
417,
423,
424,
426,
427,
436,
438,
443,
444,
445,
448,
451,
452,
453,
454,
458,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
479,
483,
484,
485,
486,
487,
488,
490,
493,
500,
504,
505,
508,
509,
514,
515,
516,
517,
518,
519,
520,
522,
526,
528,
532,
533,
535,
536,
537,
538,
540,
544,
547,
548,
550,
552,
558,
559,
560,
563,
564,
566,
571,
573,
575,
580,
581,
582,
589,
595,
596,
597,
606,
608,
611,
613,
620,
623,
627,
628,
630,
632,
633,
634,
637,
640,
641,
645,
646,
649,
654,
658,
659,
662,
663,
665,
666,
668,
669,
671,
672,
676,
681,
682,
686,
687,
688,
690,
694,
696,
705,
706,
710,
712,
714,
721,
723,
724,
727,
733,
734,
735,
736,
739,
740,
743,
744,
747,
749,
750,
752,
753,
756,
760,
762,
768,
769,
772,
776,
778,
779,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
808,
810,
812,
813,
814,
818,
819,
824,
827,
830,
832,
837,
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,
915,
917,
918,
922,
923,
924,
926,
927,
930,
934,
935,
941,
943,
944,
950,
951,
954,
956,
958,
959,
961,
963,
969,
975,
977,
981,
985,
986,
993,
996,
998,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1022,
1023,
1036,
1037,
1042,
1043,
1047,
1048,
1050,
1051,
1058,
1062,
1064,
1066,
1067,
1069,
1071,
1072,
1078,
1082,
1084,
1086,
1087,
1092,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1112,
1119,
1123,
1124,
1128,
1129,
1131,
1133,
1134,
1135,
1137
]
}
|
legislator
|
How many current legislators do not have an account on ballotpedia.org ?
|
do not have an account on ballotpedia.org refers to ballotpedia_id IS NULL OR ballotpedia_id = ''
|
SELECT COUNT(*) FROM current WHERE ballotpedia_id = '' OR ballotpedia_id IS NULL
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,736 | 4,736 |
CREATE TABLE `current`
(
ballotpedia_id TEXT
)
|
[
"OR",
"SELECT",
"NULL",
"COUNT",
"IS",
"FROM"
] | 6 |
simple
|
{
"case_1": [
1059
],
"case_2": [
1059
],
"case_3": [
42,
148,
436,
522,
1059,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
16,
42,
53,
67,
92,
106,
126,
138,
148,
150,
152,
158,
171,
173,
195,
216,
258,
263,
267,
294,
298,
299,
303,
305,
375,
395,
398,
402,
406,
423,
436,
443,
458,
476,
478,
479,
485,
493,
508,
516,
522,
528,
533,
573,
589,
601,
620,
637,
646,
664,
672,
706,
712,
724,
772,
805,
837,
838,
844,
880,
894,
926,
927,
935,
941,
965,
975,
978,
982,
985,
1014,
1020,
1036,
1048,
1059,
1062,
1064,
1066,
1069,
1087,
1101,
1128,
1129,
1131,
1133,
1134
]
}
|
legislator
|
Please list the official full names of all the current legislators who do not have an account on C-SPAN's video website.
|
legislators who do not have an account refers to cspan_id IS NULL OR cspan_id = ''
|
SELECT official_full_name FROM current WHERE cspan_id IS NULL OR cspan_id = ''
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,737 | 4,737 |
CREATE TABLE `current`
(
cspan_id REAL,
official_full_name TEXT, cspan_id
)
|
[
"OR",
"SELECT",
"NULL",
"IS",
"FROM"
] | 5 |
simple
|
{
"case_1": [
1059
],
"case_2": [
1059
],
"case_3": [
42,
148,
436,
522,
1059,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
16,
20,
42,
53,
54,
67,
92,
106,
126,
138,
148,
150,
152,
158,
171,
173,
195,
200,
216,
258,
263,
267,
294,
298,
299,
303,
305,
375,
393,
395,
398,
402,
406,
423,
436,
443,
458,
476,
478,
479,
485,
493,
508,
514,
516,
522,
528,
533,
573,
589,
601,
620,
637,
646,
664,
672,
706,
712,
713,
724,
772,
805,
829,
837,
838,
844,
880,
894,
926,
927,
935,
941,
965,
975,
978,
982,
985,
1014,
1020,
1036,
1048,
1059,
1062,
1064,
1066,
1069,
1087,
1101,
1128,
1129,
1131,
1133,
1134
]
}
|
legislator
|
How many current legislators were born after the year 1960?
|
born after the year 1960 refers to birthday_bio > '1960-01-01'
|
SELECT COUNT(bioguide_id) FROM current WHERE birthday_bio >= '1961-01-01'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,738 | 4,738 |
CREATE TABLE `current`
(
bioguide_id TEXT,
birthday_bio DATE,
primary key bioguide_id
)
|
[
"COUNT",
"-",
"SELECT",
"FROM"
] | 5 |
simple
|
{
"case_1": [
955,
1059
],
"case_2": [
955,
1059
],
"case_3": [
42,
124,
148,
272,
368,
436,
489,
522,
788,
826,
882,
955,
993,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
6,
9,
11,
13,
15,
16,
21,
22,
25,
27,
28,
30,
32,
34,
35,
36,
37,
39,
40,
42,
43,
45,
47,
51,
53,
55,
61,
62,
63,
67,
68,
69,
73,
74,
75,
77,
78,
79,
82,
85,
86,
87,
88,
89,
91,
93,
96,
97,
98,
105,
106,
108,
109,
112,
113,
115,
117,
118,
119,
121,
124,
125,
126,
128,
131,
135,
140,
141,
142,
143,
146,
147,
148,
152,
154,
157,
158,
159,
160,
164,
167,
169,
170,
172,
173,
175,
179,
180,
182,
183,
184,
185,
187,
188,
189,
190,
191,
192,
196,
197,
198,
199,
202,
203,
206,
210,
212,
214,
216,
224,
225,
226,
227,
228,
229,
230,
233,
234,
240,
243,
244,
247,
252,
253,
254,
256,
259,
261,
267,
268,
269,
271,
272,
273,
276,
277,
286,
291,
293,
294,
296,
299,
300,
301,
303,
311,
314,
316,
317,
319,
320,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
348,
349,
352,
354,
356,
358,
359,
360,
362,
364,
368,
370,
371,
373,
374,
375,
380,
382,
383,
384,
391,
392,
393,
394,
396,
399,
401,
403,
406,
409,
410,
411,
412,
416,
417,
420,
421,
423,
424,
425,
426,
436,
443,
444,
445,
446,
447,
448,
453,
454,
458,
460,
462,
464,
465,
466,
467,
469,
471,
473,
476,
477,
478,
481,
484,
485,
487,
488,
489,
490,
493,
496,
498,
500,
503,
504,
505,
507,
509,
510,
512,
514,
515,
516,
517,
519,
520,
522,
526,
529,
531,
532,
535,
536,
537,
538,
542,
543,
544,
545,
547,
548,
550,
552,
554,
558,
559,
560,
562,
563,
564,
566,
573,
580,
581,
582,
585,
591,
594,
595,
596,
597,
598,
601,
603,
606,
608,
611,
613,
617,
618,
620,
624,
627,
629,
630,
632,
633,
634,
641,
643,
645,
646,
647,
649,
654,
656,
658,
659,
660,
661,
662,
663,
664,
665,
667,
668,
669,
671,
673,
675,
677,
679,
680,
681,
684,
687,
688,
689,
692,
693,
694,
695,
696,
698,
703,
705,
707,
709,
712,
714,
718,
719,
721,
727,
729,
730,
733,
734,
735,
736,
737,
739,
740,
743,
746,
748,
749,
750,
752,
753,
754,
756,
757,
758,
760,
762,
768,
769,
770,
772,
777,
778,
779,
785,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
811,
812,
813,
814,
817,
818,
819,
820,
821,
824,
826,
827,
829,
830,
831,
835,
838,
839,
841,
843,
849,
851,
853,
857,
858,
864,
865,
866,
867,
869,
870,
874,
876,
877,
878,
882,
886,
888,
890,
893,
894,
896,
897,
898,
899,
901,
902,
903,
905,
909,
911,
912,
913,
915,
917,
918,
922,
923,
924,
925,
926,
927,
930,
934,
935,
941,
942,
943,
945,
950,
951,
954,
955,
956,
958,
959,
960,
961,
963,
965,
968,
969,
972,
974,
975,
976,
977,
979,
980,
981,
983,
985,
986,
993,
996,
1005,
1006,
1008,
1010,
1011,
1013,
1014,
1015,
1020,
1022,
1023,
1030,
1031,
1037,
1042,
1043,
1047,
1050,
1051,
1052,
1053,
1055,
1057,
1058,
1059,
1062,
1064,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1076,
1077,
1078,
1079,
1082,
1084,
1086,
1087,
1090,
1092,
1093,
1094,
1096,
1100,
1101,
1103,
1104,
1106,
1111,
1112,
1113,
1119,
1121,
1123,
1124,
1126,
1127,
1128,
1131,
1132,
1133,
1134,
1135,
1137
]
}
|
legislator
|
Among all the current female legislators, how many of them have not been registered in Federal Election Commission data?
|
have not been registered refers to fec_id IS NULL; female refers to gender_bio = 'F'
|
SELECT COUNT(*) FROM current WHERE (fec_id IS NULL OR fec_id = '') AND gender_bio = 'F'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,739 | 4,739 |
CREATE TABLE `current`
(
fec_id TEXT,
gender_bio TEXT
)
|
[
"OR",
"AND",
"SELECT",
"NULL",
"COUNT",
"IS",
"FROM"
] | 7 |
simple
|
{
"case_1": [
1059
],
"case_2": [
1059
],
"case_3": [
42,
148,
436,
522,
1059,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
2,
4,
16,
20,
22,
30,
32,
37,
40,
42,
47,
51,
53,
63,
67,
68,
69,
73,
74,
75,
88,
92,
93,
96,
98,
106,
109,
113,
115,
117,
118,
119,
125,
126,
131,
138,
142,
143,
146,
148,
150,
152,
158,
160,
164,
169,
170,
171,
173,
175,
183,
184,
187,
195,
197,
200,
214,
216,
227,
230,
244,
256,
258,
259,
263,
267,
268,
276,
277,
294,
298,
299,
301,
303,
305,
314,
317,
319,
325,
330,
339,
341,
370,
374,
375,
382,
383,
391,
393,
395,
398,
399,
402,
403,
406,
416,
417,
421,
423,
424,
426,
436,
443,
444,
448,
458,
464,
469,
476,
477,
478,
479,
485,
490,
493,
500,
508,
510,
512,
514,
515,
516,
519,
520,
522,
526,
528,
533,
537,
544,
554,
558,
559,
563,
573,
581,
582,
589,
591,
594,
595,
601,
608,
613,
618,
620,
627,
632,
633,
637,
641,
646,
656,
663,
664,
667,
668,
671,
672,
680,
687,
692,
706,
707,
712,
714,
718,
719,
724,
727,
730,
734,
735,
739,
740,
743,
749,
753,
756,
760,
768,
772,
797,
798,
799,
800,
804,
805,
814,
817,
819,
820,
824,
829,
830,
831,
837,
838,
843,
844,
849,
851,
853,
867,
870,
877,
880,
886,
888,
894,
896,
902,
903,
917,
923,
924,
926,
927,
930,
935,
941,
945,
954,
956,
958,
961,
965,
969,
975,
978,
982,
985,
986,
996,
1008,
1014,
1020,
1022,
1023,
1036,
1042,
1048,
1058,
1059,
1062,
1064,
1066,
1067,
1069,
1071,
1072,
1079,
1084,
1086,
1087,
1100,
1101,
1103,
1104,
1119,
1121,
1123,
1126,
1128,
1129,
1131,
1133,
1134
]
}
|
legislator
|
What is the google entity ID of current legislator Sherrod Brown?
|
Sherrod Brown is an official_full_name
|
SELECT google_entity_id_id FROM current WHERE official_full_name = 'Sherrod Brown'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,740 | 4,740 |
CREATE TABLE `current`
(
google_entity_id_id TEXT,
official_full_name TEXT
)
|
[
"SELECT",
"FROM"
] | 2 |
simple
|
{
"case_1": [
372,
492,
955,
1032,
1054,
1059
],
"case_2": [
372,
492,
955,
1032,
1054,
1059
],
"case_3": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
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157,
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175,
176,
177,
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205,
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214,
215,
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217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
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239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
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310,
311,
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380,
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387,
388,
389,
390,
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392,
393,
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395,
396,
397,
398,
399,
400,
401,
402,
403,
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405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
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422,
423,
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428,
429,
430,
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455,
456,
457,
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459,
460,
461,
462,
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465,
466,
467,
468,
469,
470,
471,
472,
473,
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475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
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518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
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539,
540,
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542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
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553,
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555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
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584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
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620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
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632,
633,
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636,
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645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
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727,
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730,
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735,
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737,
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740,
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743,
744,
745,
746,
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748,
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750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
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765,
766,
767,
768,
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770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
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785,
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790,
791,
792,
793,
794,
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796,
797,
798,
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801,
802,
803,
804,
805,
806,
807,
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812,
813,
814,
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816,
817,
818,
819,
820,
821,
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825,
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827,
828,
829,
830,
831,
832,
833,
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835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
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850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
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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,
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896,
897,
898,
899,
900,
901,
902,
903,
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906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
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918,
919,
920,
921,
922,
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924,
925,
926,
927,
928,
929,
930,
931,
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933,
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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,
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965,
966,
967,
968,
969,
970,
971,
972,
973,
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978,
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980,
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987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
legislator
|
Which current legislator is older, Sherrod Brown or Maria Cantwell?
|
older refers to MAX(birthday_bio); 'Sherrod Brown' and 'Maria Cantwell' are official_full_name
|
SELECT official_full_name FROM current WHERE official_full_name = 'Sherrod Brown' OR official_full_name = 'Maria Cantwell' ORDER BY birthday_bio LIMIT 1
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,741 | 4,741 |
CREATE TABLE `current`
(
birthday_bio DATE,
official_full_name TEXT
)
|
[
"OR",
"SELECT",
"ORDER BY",
"LIMIT",
"FROM"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
42
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
1,
10,
11,
13,
15,
17,
20,
28,
29,
36,
38,
42,
43,
49,
54,
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,
216,
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,
829,
830,
836,
838,
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,
1064,
1065,
1067,
1068,
1075,
1076,
1077,
1083,
1087,
1094,
1101,
1124,
1128,
1137,
1139,
1141
]
}
|
legislator
|
What is the username of the current official Facebook presence of current legislator Todd Young?
|
Todd Young is an official_full_name; username of current official Facebook presences refers to facebook;
|
SELECT T1.facebook FROM `social-media` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.official_full_name = 'Todd Young'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,742 | 4,742 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
489,
1074
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
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1,
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1114,
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1134,
1135,
1136,
1137
]
}
|
legislator
|
How many current legislators do not have an account on instagram?
|
do not have an account on instagram refers to instagram is null
|
SELECT COUNT(*) FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T1.instagram IS NULL
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,743 | 4,743 |
CREATE TABLE `current`
(
bioguide_id TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
instagram TEXT,
instagram_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"NULL",
"INNER JOIN",
"ON",
"COUNT",
"IS",
"FROM"
] | 10 |
simple
|
{
"case_1": [
489,
1074
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
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21,
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508,
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,
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570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
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586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
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,
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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,
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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,
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739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
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751,
752,
753,
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755,
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763,
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765,
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767,
768,
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771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
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,
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870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
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885,
886,
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888,
889,
891,
892,
893,
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895,
896,
897,
898,
900,
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924,
925,
926,
927,
928,
930,
931,
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934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
965,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
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991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
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1049,
1050,
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1080,
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1100,
1101,
1103,
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1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
To which current legislator does twitter ID234128524 belong? Please give his or her full official name.
|
full official name refers to official_full_name
|
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T2.twitter_id = 234128524
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,744 | 4,744 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
twitter TEXT,
twitter_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
489,
1074
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148,
436,
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522,
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],
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492,
522,
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340,
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342,
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344,
345,
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347,
349,
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354,
356,
357,
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360,
361,
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368,
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370,
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382,
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384,
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539,
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587,
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590,
592,
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610,
611,
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613,
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620,
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628,
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650,
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662,
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668,
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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,
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740,
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772,
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774,
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780,
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790,
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860,
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862,
863,
866,
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870,
871,
873,
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875,
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877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
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894,
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898,
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902,
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999,
1000,
1001,
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1005,
1006,
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1011,
1012,
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1016,
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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,
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1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Please list the current official YouTube usernames of all the current female legislators.
|
official YouTube usernames refers to youtube; female refers to gender_bio = 'F'
|
SELECT T2.youtube FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.gender_bio = 'F'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,745 | 4,745 |
CREATE TABLE `current`
(
bioguide_id TEXT,
gender_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
youtube TEXT,
youtube_id TEXT,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
489,
1074
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
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280,
281,
282,
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290,
292,
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309,
311,
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314,
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318,
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321,
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335,
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339,
340,
341,
342,
343,
344,
345,
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347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
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710,
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1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
What is the username of the current official Facebook presence of the oldest current legislator?
|
username of the official Facebook refers to facebook; the oldest refers to MAX(birthday_bio)
|
SELECT T2.facebook FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id ORDER BY T1.birthday_bio LIMIT 1
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,746 | 4,746 |
CREATE TABLE `current`
(
bioguide_id TEXT,
birthday_bio DATE,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
489,
1074
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
175,
176,
177,
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180,
183,
184,
186,
187,
188,
189,
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199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Among the current legislators who do not have accounts on OpenSecrets.org., how many of them do not have instagram accounts either?
|
do not have accounts on OpenSecrets.org refers to opensecrets_ID is NULL OR opensecrets_id = ''; do not have instagram accounts refers to instagram is null
|
SELECT SUM(CASE WHEN T1.instagram IS NULL THEN 1 ELSE 0 END) AS count FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T2.opensecrets_id IS NULL OR T2.opensecrets_id = ''
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,747 | 4,747 |
CREATE TABLE `current`
(
bioguide_id TEXT,
opensecrets_id TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
instagram TEXT,
instagram_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"CASE WHEN",
"OR",
"AS",
"SELECT",
"SUM",
"count",
"CASE",
"-",
"NULL",
"INNER JOIN",
"ON",
"IS",
"FROM"
] | 17 |
challenging
|
{
"case_1": [
522
],
"case_2": [
148,
436,
522
],
"case_3": [
42,
148,
436,
522,
788,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
6,
16,
24,
39,
42,
53,
64,
71,
77,
81,
106,
112,
113,
120,
127,
129,
138,
141,
148,
150,
152,
153,
155,
158,
171,
173,
184,
189,
191,
195,
201,
207,
212,
219,
225,
226,
228,
234,
236,
248,
258,
261,
264,
267,
279,
298,
299,
300,
304,
322,
335,
347,
356,
360,
375,
383,
393,
395,
398,
402,
406,
409,
412,
415,
427,
436,
438,
448,
452,
476,
478,
479,
486,
493,
500,
508,
514,
516,
518,
522,
528,
533,
535,
540,
547,
550,
563,
564,
571,
573,
575,
580,
581,
589,
601,
620,
623,
628,
637,
640,
646,
662,
666,
672,
676,
682,
686,
695,
706,
710,
712,
723,
724,
740,
744,
747,
753,
762,
772,
776,
777,
787,
788,
795,
796,
798,
800,
805,
808,
827,
829,
837,
838,
841,
844,
848,
868,
870,
871,
874,
880,
894,
896,
909,
912,
922,
924,
926,
927,
935,
941,
943,
944,
959,
985,
1012,
1031,
1036,
1048,
1062,
1064,
1066,
1068,
1069,
1078,
1082,
1087,
1092,
1098,
1101,
1129,
1131,
1133,
1134,
1135
]
}
|
legislator
|
Current legislator Roger F. Wicker has not been a representative for how many terms?
|
Roger F. Wicker is an official_full_name; not a representative refers to district IS NULL OR district = ''
|
SELECT SUM(CASE WHEN T1.official_full_name = 'Roger F. Wicker' THEN 1 ELSE 0 END) AS count FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.district IS NULL OR T2.district = ''
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,748 | 4,748 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
district REAL,
name TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"CASE WHEN",
"OR",
"AS",
"SELECT",
"SUM",
"count",
"CASE",
"-",
"NULL",
"INNER JOIN",
"ON",
"IS",
"FROM"
] | 15 |
medium
|
{
"case_1": [
42
],
"case_2": [
42
],
"case_3": [
42,
148,
436,
522,
788,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
6,
16,
24,
39,
42,
53,
64,
71,
77,
81,
106,
112,
113,
120,
127,
129,
138,
141,
148,
150,
152,
153,
155,
158,
171,
173,
184,
189,
191,
195,
201,
207,
212,
219,
225,
226,
228,
234,
236,
248,
258,
261,
264,
267,
279,
298,
299,
300,
304,
322,
335,
347,
356,
360,
375,
383,
393,
395,
398,
402,
406,
409,
412,
415,
427,
436,
438,
448,
452,
476,
478,
479,
486,
493,
500,
508,
514,
516,
518,
522,
528,
533,
535,
540,
547,
550,
563,
564,
571,
573,
575,
580,
581,
589,
601,
620,
623,
628,
637,
640,
646,
662,
666,
672,
676,
682,
686,
695,
706,
710,
712,
723,
724,
740,
744,
747,
753,
762,
772,
776,
777,
787,
788,
795,
796,
798,
800,
805,
808,
827,
829,
837,
838,
841,
844,
848,
868,
870,
871,
874,
880,
894,
896,
909,
912,
922,
924,
926,
927,
935,
941,
943,
944,
959,
985,
1012,
1031,
1036,
1048,
1062,
1064,
1066,
1068,
1069,
1078,
1082,
1087,
1092,
1098,
1101,
1129,
1131,
1133,
1134,
1135
]
}
|
legislator
|
For how many terms has current legislator Sherrod Brown served?
|
Sherrod Brown is an official_full_name
|
SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Sherrod Brown'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,749 | 4,749 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
name TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
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1,
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259,
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271,
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279,
280,
281,
282,
284,
286,
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289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
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307,
308,
309,
311,
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319,
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322,
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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,
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832,
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999,
1000,
1001,
1003,
1005,
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1027,
1029,
1031,
1033,
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1035,
1037,
1038,
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1042,
1043,
1044,
1045,
1046,
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1050,
1051,
1052,
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1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
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1092,
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1095,
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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
]
}
|
legislator
|
Please list the official full names of all the current legislators who were once a senator during his or her terms.
|
once a senator during term refers to state_rank IS NOT NULL
|
SELECT T2.official_full_name FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.state_rank IS NOT NULL
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,750 | 4,750 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
name TEXT,
state TEXT,
state_rank TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"NULL",
"INNER JOIN",
"ON",
"NOT",
"IS",
"FROM"
] | 10 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
3,
4,
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,
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68,
69,
70,
71,
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73,
74,
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77,
80,
81,
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85,
86,
88,
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91,
92,
93,
94,
95,
96,
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113,
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131,
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142,
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172,
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183,
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187,
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201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
508,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
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,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
For which state did current legislator Sherrod Brown serve during his term that started on 1993/1/5?
|
Sherrod Brown is an full official name; started on 1993/1/5 refers to start = '1993-01-05';
|
SELECT T1.state FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.start = '1993-01-05' AND T2.official_full_name = 'Sherrod Brown'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,751 | 4,751 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
name TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
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14,
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18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
36,
37,
39,
41,
42,
43,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
79,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
362,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
679,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
785,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
864,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Among all the female current legislators, how many of them have served for more than 4 terms?
|
female refers to gender_bio = 'F'; served for more than 4 terms refers to COUNT(bioguide > 4)
|
SELECT COUNT(CID) FROM ( SELECT T1.bioguide_id AS CID FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'F' GROUP BY T2.bioguide HAVING COUNT(T2.bioguide) > 4 )
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,752 | 4,752 |
CREATE TABLE `current`
(
bioguide_id TEXT,
gender_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
end TEXT,
primary key bioguide, end,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"SELECT",
"HAVING",
"-",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 14 |
medium
|
{
"case_1": [
42
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
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26,
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29,
30,
33,
34,
36,
37,
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41,
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80,
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91,
93,
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102,
105,
106,
107,
111,
112,
113,
115,
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119,
120,
121,
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126,
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128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
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140,
141,
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143,
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148,
150,
151,
152,
153,
154,
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162,
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165,
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211,
212,
213,
214,
217,
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219,
220,
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225,
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234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
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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,
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347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
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379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
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411,
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415,
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495,
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497,
498,
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500,
501,
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509,
510,
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518,
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523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
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542,
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547,
548,
550,
552,
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558,
559,
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580,
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590,
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600,
602,
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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,
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677,
678,
681,
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683,
684,
685,
686,
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688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
718,
720,
721,
722,
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725,
726,
727,
728,
733,
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735,
736,
739,
740,
741,
742,
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744,
745,
746,
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750,
751,
752,
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754,
755,
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765,
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767,
768,
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771,
772,
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790,
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793,
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796,
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798,
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800,
802,
803,
804,
805,
806,
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810,
812,
813,
814,
817,
818,
819,
822,
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830,
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838,
839,
841,
844,
845,
846,
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850,
851,
852,
853,
854,
857,
858,
859,
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866,
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871,
873,
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875,
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877,
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891,
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893,
894,
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901,
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930,
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988,
991,
993,
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996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Among the current legislators who have served for more than 6 terms, how many of them were born after 1960?
|
served for more than 6 terms refers to COUNT(bioguide > 6); born after 1960 refers to birthday_bio > = '1960-01-01'
|
SELECT COUNT(CID) FROM ( SELECT T1.bioguide_id AS CID FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.birthday_bio >= '1960-01-01' GROUP BY T2.bioguide HAVING COUNT(T2.bioguide) > 6 )
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,753 | 4,753 |
CREATE TABLE `current`
(
bioguide_id TEXT,
birthday_bio DATE,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"SELECT",
"HAVING",
"-",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 16 |
challenging
|
{
"case_1": [
993
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
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148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
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171,
172,
173,
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177,
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180,
182,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
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199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
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,
718,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
What is the average number of terms for a current female legislator?
|
female refers to gender_bio = 'F'; calculation refers to DIVIDE(COUNT(bioguide WHERE gender_bio = 'F'), COUNT(bioguide_id))
|
SELECT CAST(COUNT(T2.bioguide) AS REAL) / COUNT(DISTINCT T1.bioguide_id) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'F'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,754 | 4,754 |
CREATE TABLE `current`
(
bioguide_id TEXT,
gender_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
end TEXT,
primary key bioguide, end,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 11 |
medium
|
{
"case_1": [
42
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
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,
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,
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,
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,
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,
444,
445,
446,
447,
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,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
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,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Among all the current legislators whose religion is Roman Catholic, what is the percentage of the ones without an instagram account?
|
religion is Roman Catholic refers to religion_bio = 'Roman Catholic'; calculation = MULTIPLY(DIVIDE(COUNT(instagram is null), COUNT(bioguide_id)), 1.0)
|
SELECT CAST(SUM(CASE WHEN T1.instagram IS NULL THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T2.religion_bio = 'Roman Catholic'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,755 | 4,755 |
CREATE TABLE `current`
(
bioguide_id TEXT,
religion_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
instagram TEXT,
instagram_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"-",
"NULL",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"IS",
"FROM"
] | 15 |
medium
|
{
"case_1": [
148,
436
],
"case_2": [
148,
436,
522
],
"case_3": [
42,
148,
436,
522,
788,
993,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
6,
16,
24,
39,
42,
53,
61,
64,
71,
74,
77,
81,
93,
98,
106,
112,
113,
115,
119,
120,
126,
127,
129,
138,
141,
148,
150,
152,
153,
155,
158,
169,
171,
173,
183,
184,
187,
189,
191,
192,
195,
197,
199,
201,
207,
212,
215,
219,
223,
225,
226,
228,
234,
236,
244,
248,
254,
258,
261,
264,
267,
271,
279,
298,
299,
300,
303,
304,
316,
317,
322,
323,
325,
335,
339,
347,
356,
360,
375,
382,
383,
391,
392,
393,
394,
395,
398,
402,
406,
409,
412,
415,
416,
423,
427,
436,
438,
443,
445,
448,
452,
453,
458,
476,
478,
479,
483,
485,
486,
487,
488,
493,
500,
504,
508,
509,
510,
514,
516,
517,
518,
520,
522,
528,
533,
535,
537,
540,
544,
547,
550,
559,
560,
563,
564,
571,
573,
575,
580,
581,
589,
597,
601,
620,
623,
628,
630,
637,
640,
646,
649,
658,
662,
666,
672,
676,
681,
682,
686,
690,
695,
706,
710,
712,
723,
724,
740,
744,
747,
750,
753,
756,
762,
772,
776,
777,
787,
788,
795,
796,
798,
800,
802,
805,
808,
810,
813,
827,
832,
837,
838,
841,
844,
848,
868,
870,
871,
874,
880,
894,
896,
898,
909,
912,
922,
924,
926,
927,
930,
935,
941,
943,
944,
954,
958,
959,
985,
993,
998,
1008,
1012,
1023,
1031,
1036,
1048,
1062,
1064,
1066,
1068,
1069,
1072,
1078,
1082,
1087,
1092,
1098,
1100,
1101,
1123,
1128,
1129,
1131,
1133,
1134,
1135
]
}
|
legislator
|
How many males were members of the current legislators?
|
male refers to gender_bio = 'M'
|
SELECT COUNT(*) FROM current WHERE gender_bio = 'M'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,756 | 4,756 |
CREATE TABLE `current`
(
gender_bio TEXT
)
|
[
"COUNT",
"SELECT",
"FROM"
] | 3 |
simple
|
{
"case_1": [
372,
492,
955,
1032,
1054,
1059
],
"case_2": [
372,
492,
955,
1032,
1054,
1059
],
"case_3": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
365,
366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
legislator
|
How many current legislators chose Republican as their political party?
|
chose Republican as their political party refers to party = 'Republican'
|
SELECT COUNT(*) FROM `current-terms` WHERE party = 'Republican'
|
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,757 | 4,757 |
CREATE TABLE `current-terms`
(
party TEXT,
party_affiliations TEXT
)
|
[
"COUNT",
"-",
"SELECT",
"FROM"
] | 4 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
42,
124,
148,
272,
368,
436,
489,
522,
788,
826,
882,
955,
993,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
6,
9,
11,
13,
15,
16,
21,
22,
25,
27,
28,
30,
32,
34,
35,
36,
37,
39,
40,
42,
43,
45,
47,
51,
53,
55,
61,
62,
63,
67,
68,
69,
73,
74,
75,
77,
78,
79,
82,
85,
86,
87,
88,
89,
91,
93,
96,
97,
98,
105,
106,
108,
109,
112,
113,
115,
117,
118,
119,
121,
124,
125,
126,
128,
131,
135,
140,
141,
142,
143,
146,
147,
148,
152,
154,
157,
158,
159,
160,
164,
167,
169,
170,
172,
173,
175,
179,
180,
182,
183,
184,
185,
187,
188,
189,
190,
191,
192,
196,
197,
198,
199,
202,
203,
206,
210,
212,
214,
216,
224,
225,
226,
227,
228,
229,
230,
233,
234,
240,
243,
244,
247,
252,
253,
254,
256,
259,
261,
267,
268,
269,
271,
272,
273,
276,
277,
286,
291,
293,
294,
296,
299,
300,
301,
303,
311,
314,
316,
317,
319,
320,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
348,
349,
352,
354,
356,
358,
359,
360,
362,
364,
368,
370,
371,
373,
374,
375,
380,
382,
383,
384,
391,
392,
393,
394,
396,
399,
401,
403,
406,
409,
410,
411,
412,
416,
417,
420,
421,
423,
424,
425,
426,
436,
443,
444,
445,
446,
447,
448,
453,
454,
458,
460,
462,
464,
465,
466,
467,
469,
471,
473,
476,
477,
478,
481,
484,
485,
487,
488,
489,
490,
493,
496,
498,
500,
503,
504,
505,
507,
509,
510,
512,
514,
515,
516,
517,
519,
520,
522,
526,
529,
531,
532,
535,
536,
537,
538,
542,
543,
544,
545,
547,
548,
550,
552,
554,
558,
559,
560,
562,
563,
564,
566,
573,
580,
581,
582,
585,
591,
594,
595,
596,
597,
598,
601,
603,
606,
608,
611,
613,
617,
618,
620,
624,
627,
629,
630,
632,
633,
634,
641,
643,
645,
646,
647,
649,
654,
656,
658,
659,
660,
661,
662,
663,
664,
665,
667,
668,
669,
671,
673,
675,
677,
679,
680,
681,
684,
687,
688,
689,
692,
693,
694,
695,
696,
698,
703,
705,
707,
709,
712,
714,
718,
719,
721,
727,
729,
730,
733,
734,
735,
736,
737,
739,
740,
743,
746,
748,
749,
750,
752,
753,
754,
756,
757,
758,
760,
762,
768,
769,
770,
772,
777,
778,
779,
785,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
811,
812,
813,
814,
817,
818,
819,
820,
821,
824,
826,
827,
829,
830,
831,
835,
838,
839,
841,
843,
849,
851,
853,
857,
858,
864,
865,
866,
867,
869,
870,
874,
876,
877,
878,
882,
886,
888,
890,
893,
894,
896,
897,
898,
899,
901,
902,
903,
905,
909,
911,
912,
913,
915,
917,
918,
922,
923,
924,
925,
926,
927,
930,
934,
935,
941,
942,
943,
945,
950,
951,
954,
955,
956,
958,
959,
960,
961,
963,
965,
968,
969,
972,
974,
975,
976,
977,
979,
980,
981,
983,
985,
986,
993,
996,
1005,
1006,
1008,
1010,
1011,
1013,
1014,
1015,
1020,
1022,
1023,
1030,
1031,
1037,
1042,
1043,
1047,
1050,
1051,
1052,
1053,
1055,
1057,
1058,
1059,
1062,
1064,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1076,
1077,
1078,
1079,
1082,
1084,
1086,
1087,
1090,
1092,
1093,
1094,
1096,
1100,
1101,
1103,
1104,
1106,
1111,
1112,
1113,
1119,
1121,
1123,
1124,
1126,
1127,
1128,
1131,
1132,
1133,
1134,
1135,
1137
]
}
|
legislator
|
How many legislators have an Instagram account?
|
have an Instagram account refers to instagram is NOT null and instagram <>''
|
SELECT COUNT(*) FROM `social-media` WHERE instagram IS NOT NULL AND instagram <> ''
|
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,758 | 4,758 |
CREATE TABLE `social-media`
(
instagram TEXT,
instagram_id REAL
)
|
[
"AND",
"SELECT",
"-",
"NULL",
"NOT",
"COUNT",
"IS",
"FROM"
] | 8 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
42,
148,
436,
522,
1059,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
2,
32,
42,
53,
67,
74,
92,
98,
115,
138,
148,
150,
152,
158,
171,
183,
184,
187,
195,
197,
244,
258,
259,
263,
267,
294,
298,
303,
305,
325,
339,
382,
383,
391,
393,
395,
398,
402,
406,
416,
436,
443,
448,
476,
479,
493,
508,
510,
514,
516,
520,
522,
528,
533,
544,
559,
589,
601,
637,
667,
672,
706,
712,
724,
756,
798,
805,
817,
837,
838,
844,
870,
880,
894,
927,
930,
935,
941,
954,
965,
978,
982,
985,
1014,
1020,
1036,
1048,
1059,
1066,
1069,
1101,
1123,
1129,
1131
]
}
|
legislator
|
How many females were members of the past legislators?
|
female refers to gender_bio = 'F'
|
SELECT COUNT(*) FROM historical WHERE gender_bio = 'F'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,759 | 4,759 |
CREATE TABLE `historical`
(
gender_bio TEXT
)
|
[
"COUNT",
"SELECT",
"FROM"
] | 3 |
simple
|
{
"case_1": [
124
],
"case_2": [
124,
1069
],
"case_3": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
365,
366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
legislator
|
How many male legislators are Roman Catholic?
|
male refers to gender_bio = 'M'; Roman Catholic is a religion_bio
|
SELECT COUNT(*) FROM current WHERE religion_bio = 'Roman Catholic' AND gender_bio = 'M'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,760 | 4,760 |
CREATE TABLE `current`
(
gender_bio TEXT,
religion_bio TEXT
)
|
[
"COUNT",
"AND",
"SELECT",
"FROM"
] | 4 |
simple
|
{
"case_1": [
492,
1059
],
"case_2": [
492,
1059
],
"case_3": [
124,
148,
272,
368,
436,
492,
522,
788,
993,
1059,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
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
]
}
|
legislator
|
What type of political party Sherrod Brown has in 2005?
|
political party refers to party; Sherrod Brown is an official_full_name; official_full_name refers to first_name, last_name; 2005 refers to start = 2005
|
SELECT T1.party FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.first_name = 'Sherrod' AND T2.last_name = 'Brown' AND T1.start LIKE '%2005%'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,761 | 4,761 |
CREATE TABLE `current`
(
bioguide_id TEXT,
first_name TEXT,
last_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
last TEXT,
name TEXT,
party TEXT,
party_affiliations TEXT,
start TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"LIKE",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
List the full name of all the senior senators in year 2013.
|
full name refers to official_full_name; senior refers to state_rank = 'senior'; senators refers to type = 'sen'; 2013 refers to start LIKE '2013%'
|
SELECT T2.official_full_name FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.state_rank = 'senior' AND T1.type = 'sen' AND T1.start LIKE '2013%'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,762 | 4,762 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
name TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
type TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"LIKE",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
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539,
540,
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557,
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570,
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579,
580,
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586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
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627,
628,
630,
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637,
638,
639,
640,
641,
643,
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645,
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662,
663,
665,
666,
668,
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670,
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675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
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694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
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712,
714,
715,
717,
720,
721,
722,
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725,
726,
727,
728,
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740,
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744,
745,
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750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
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767,
768,
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771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
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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,
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824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
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846,
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850,
851,
852,
853,
854,
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925,
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927,
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930,
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934,
935,
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937,
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940,
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950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
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988,
991,
993,
994,
996,
997,
999,
1000,
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1003,
1005,
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1111,
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1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
What is the current official Youtube username of Chris Van Hollen?
|
Youtube username refers to youtube; Chris Van Hollen is an official_full_name
|
SELECT T2.youtube FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.official_full_name = 'Chris Van Hollen'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,763 | 4,763 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
youtube TEXT,
youtube_id TEXT,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
489,
1074
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
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993,
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],
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372,
436,
489,
492,
522,
788,
826,
882,
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993,
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370,
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386,
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389,
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427,
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620,
621,
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670,
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681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
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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,
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740,
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744,
745,
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755,
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760,
761,
762,
763,
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765,
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768,
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772,
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1019,
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1023,
1025,
1027,
1029,
1031,
1033,
1034,
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1037,
1038,
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1044,
1045,
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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
]
}
|
legislator
|
How many official social media does Mark Warner have?
|
official social media refers to facebook is not null, instagram is not null, twitter is not null, youtube is not null; Mark Warner is an official_full_name; official_full_name refers to first_name, last_name
|
SELECT CASE WHEN T1.facebook IS NOT NULL THEN 1 END + CASE WHEN T1.instagram IS NOT NULL THEN 1 END + CASE WHEN T1.twitter IS NOT NULL THEN 1 END + CASE WHEN T1.youtube IS NOT NULL THEN 1 END AS COUNTSOCIAL FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T2.first_name = 'Mark' AND T2.last_name = 'Warner'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,764 | 4,764 |
CREATE TABLE `current`
(
bioguide_id TEXT,
first_name TEXT,
last_name TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
instagram TEXT,
instagram_id REAL,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key bioguide references currentbioguide_id
)
|
[
"CASE WHEN",
"AS",
"AND",
"SELECT",
"CASE",
"-",
"NULL",
"INNER JOIN",
"ON",
"NOT",
"IS",
"FROM"
] | 29 |
challenging
|
{
"case_1": [
522
],
"case_2": [
148,
436,
522
],
"case_3": [
42,
148,
272,
368,
436,
522,
788,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
6,
16,
21,
24,
39,
42,
45,
53,
64,
71,
74,
77,
81,
85,
98,
106,
112,
113,
115,
120,
127,
128,
129,
138,
141,
148,
150,
152,
153,
154,
155,
158,
171,
172,
180,
183,
184,
187,
191,
195,
197,
200,
201,
207,
212,
219,
225,
226,
234,
236,
240,
244,
248,
258,
261,
263,
264,
267,
272,
279,
296,
298,
299,
300,
303,
304,
305,
322,
325,
335,
339,
347,
356,
360,
368,
375,
382,
383,
391,
393,
395,
398,
402,
406,
412,
415,
416,
425,
427,
436,
438,
443,
446,
448,
452,
476,
478,
479,
486,
493,
496,
498,
500,
507,
508,
514,
516,
518,
520,
522,
528,
529,
533,
535,
540,
544,
547,
550,
559,
562,
563,
564,
571,
573,
575,
580,
581,
589,
601,
620,
623,
624,
628,
637,
640,
643,
646,
662,
666,
672,
675,
676,
677,
682,
684,
686,
693,
706,
710,
712,
723,
724,
740,
744,
746,
747,
753,
754,
756,
758,
762,
772,
776,
777,
787,
788,
796,
798,
800,
805,
808,
827,
829,
835,
837,
838,
841,
844,
848,
858,
868,
870,
871,
874,
878,
880,
894,
896,
905,
909,
912,
922,
924,
926,
927,
930,
935,
941,
943,
944,
954,
959,
974,
978,
985,
1012,
1031,
1036,
1048,
1062,
1064,
1066,
1068,
1069,
1078,
1082,
1087,
1092,
1098,
1101,
1123,
1129,
1131,
1133,
1134,
1135
]
}
|
legislator
|
List the last name of all current legislators who live in California.
|
California refers to state = 'CA'
|
SELECT T1.last_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state = 'CA' GROUP BY T1.last_name
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,765 | 4,765 |
CREATE TABLE `current`
(
bioguide_id TEXT,
last_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
last TEXT,
name TEXT,
state TEXT,
state_rank TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
List the full name of all current female senators.
|
full name refers to official_full_name; female refers to gender_bio = 'F'; senators refers to type = 'sen'
|
SELECT T2.first_name, T2.last_name FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.type = 'sen' AND T2.gender_bio = 'F' GROUP BY T2.ballotpedia_id
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,766 | 4,766 |
CREATE TABLE `current`
(
ballotpedia_id TEXT,
bioguide_id TEXT,
first_name TEXT,
gender_bio TEXT,
last_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
end TEXT,
last TEXT,
name TEXT,
type TEXT,
primary key bioguide, end,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
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11,
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363,
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1080,
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1084,
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1122,
1123,
1124,
1128,
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1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
What is the numeric ID of Chris Van Hollen on GovTrack.us?
|
Chris Van Hollen is an official_full_name; numeric ID on GovTrack.us refers to govtrack
|
SELECT T2.govtrack FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.official_full_name = 'Chris Van Hollen'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,767 | 4,767 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
govtrack REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
489,
1074
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
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62,
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80,
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86,
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93,
94,
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96,
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101,
102,
105,
106,
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111,
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115,
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150,
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155,
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159,
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162,
163,
164,
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167,
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170,
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172,
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176,
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183,
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189,
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195,
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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,
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454,
455,
456,
457,
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460,
462,
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469,
470,
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474,
475,
476,
477,
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479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
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870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
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898,
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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,
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1015,
1016,
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1038,
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1044,
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1072,
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1078,
1080,
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1084,
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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,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
What is the current official Twitter handle of Roger F. Wicker?
|
Twitter handle refers to twitter; Roger F. Wicker is an official_full_name
|
SELECT T2.twitter FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.official_full_name = 'Roger F. Wicker'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,768 | 4,768 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
twitter TEXT,
twitter_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
489,
1074
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
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42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
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311,
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330,
333,
334,
335,
336,
338,
339,
340,
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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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425,
426,
427,
428,
429,
430,
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510,
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528,
529,
530,
532,
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535,
536,
537,
538,
539,
540,
541,
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547,
548,
550,
552,
556,
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559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
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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,
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790,
792,
793,
795,
796,
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798,
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800,
802,
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814,
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819,
822,
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824,
825,
827,
828,
829,
830,
832,
833,
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835,
837,
838,
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844,
845,
846,
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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,
887,
888,
889,
891,
892,
893,
894,
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896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
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922,
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924,
925,
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927,
928,
930,
931,
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937,
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988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
List the full name of all past legislators that chose Pro-Administration as their political party in year 1791.
|
full name refers to official_full_name; chose Pro-Administration as their political party refers to party = 'Pro-Administration'; 1791 refers to start < = 1791 AND END > = 1791
|
SELECT T1.first_name, T1.last_name FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Pro-Administration' AND CAST(T2.start AS DATE) <= 1791 AND CAST(T2.END AS DATE) >= 1791
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,769 | 4,769 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
first_name TEXT,
last_name TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
end TEXT,
last TEXT,
name TEXT,
party TEXT,
party_affiliations TEXT,
start TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"CAST",
"FROM"
] | 14 |
medium
|
{
"case_1": [
368
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
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1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Provide the full name of all current female legislators that chose Republican as their political party.
|
full name refers to official_full_name; official_full_name refers to first_name, last_name; female refers to gender_bio = 'F'; chose Republican as their political party refers to party = 'Republican'; current legislators refers to END > Date()
|
SELECT T1.first_name, T1.last_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Republican' AND T1.gender_bio = 'F' AND T2.END > DATE() GROUP BY T1.bioguide_id
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,770 | 4,770 |
CREATE TABLE `current`
(
bioguide_id TEXT,
first_name TEXT,
gender_bio TEXT,
last_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
end TEXT,
last TEXT,
name TEXT,
party TEXT,
party_affiliations TEXT,
primary key bioguide, end,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
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,
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134,
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221,
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240,
241,
242,
243,
244,
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248,
250,
254,
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264,
265,
266,
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268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
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432,
433,
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435,
436,
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440,
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445,
446,
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449,
450,
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479,
480,
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486,
487,
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491,
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495,
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498,
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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,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
What is the district number that Chris Van Hollen serving?
|
Chris Van Hollen is an official_full_name
|
SELECT T2.district FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Chris Van Hollen' AND T2.district IS NOT NULL GROUP BY T2.district
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,771 | 4,771 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
district REAL,
name TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"AND",
"SELECT",
"-",
"NULL",
"INNER JOIN",
"ON",
"NOT",
"IS",
"FROM"
] | 12 |
medium
|
{
"case_1": [
42
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
3,
4,
5,
7,
8,
11,
12,
16,
19,
20,
21,
22,
24,
26,
30,
33,
34,
36,
37,
39,
42,
44,
45,
47,
51,
52,
53,
55,
57,
62,
63,
66,
67,
68,
69,
71,
73,
74,
75,
76,
85,
86,
88,
90,
92,
93,
95,
96,
97,
98,
99,
105,
106,
111,
112,
113,
115,
116,
117,
118,
119,
121,
125,
126,
127,
128,
129,
131,
135,
138,
140,
141,
142,
143,
144,
146,
148,
150,
152,
154,
158,
159,
160,
163,
164,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
187,
188,
189,
191,
195,
197,
199,
200,
202,
206,
213,
214,
219,
227,
228,
229,
233,
239,
240,
244,
247,
256,
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262,
263,
265,
266,
267,
268,
272,
275,
276,
277,
278,
282,
296,
298,
299,
300,
301,
303,
305,
311,
313,
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315,
317,
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344,
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349,
356,
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364,
365,
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370,
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375,
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378,
379,
381,
382,
383,
385,
391,
392,
393,
394,
395,
398,
402,
403,
405,
406,
408,
409,
411,
413,
414,
416,
417,
419,
424,
425,
426,
427,
428,
433,
436,
437,
438,
440,
443,
444,
445,
446,
448,
451,
452,
454,
455,
460,
462,
463,
464,
469,
470,
473,
475,
476,
477,
478,
479,
480,
482,
489,
490,
493,
494,
496,
497,
498,
500,
503,
505,
507,
508,
509,
514,
515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
532,
533,
536,
537,
538,
539,
541,
544,
548,
550,
552,
557,
558,
559,
560,
561,
562,
563,
566,
573,
579,
580,
581,
582,
584,
586,
588,
589,
595,
601,
605,
608,
610,
611,
612,
613,
615,
620,
624,
625,
626,
627,
630,
632,
633,
634,
637,
638,
641,
643,
645,
646,
647,
648,
649,
651,
654,
659,
660,
663,
665,
666,
668,
669,
671,
672,
675,
677,
678,
681,
683,
684,
685,
686,
687,
688,
690,
693,
695,
696,
697,
699,
701,
702,
706,
712,
714,
715,
720,
721,
724,
726,
727,
733,
734,
735,
739,
740,
741,
743,
746,
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749,
751,
752,
753,
754,
756,
758,
760,
763,
765,
767,
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772,
773,
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779,
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790,
793,
797,
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800,
804,
805,
806,
807,
808,
810,
814,
818,
819,
823,
824,
825,
827,
829,
830,
832,
835,
837,
838,
844,
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849,
851,
853,
858,
859,
860,
861,
866,
867,
870,
873,
876,
877,
878,
879,
880,
882,
886,
888,
889,
892,
893,
894,
895,
896,
901,
902,
905,
907,
911,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
941,
943,
944,
949,
950,
951,
953,
954,
956,
958,
959,
961,
962,
963,
969,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
991,
993,
996,
1000,
1001,
1005,
1006,
1010,
1013,
1014,
1017,
1019,
1020,
1022,
1023,
1025,
1027,
1031,
1036,
1037,
1039,
1042,
1043,
1044,
1046,
1047,
1048,
1050,
1051,
1052,
1058,
1059,
1061,
1062,
1063,
1064,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1084,
1086,
1091,
1092,
1094,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1115,
1119,
1123,
1124,
1128,
1129,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
How many times did Richard Durbin become a legislator in district 20?
|
Richard Durbin is an official_full_name; official_full_name refers to first_name, last_name; district 20 refers to district = 20
|
SELECT SUM(CASE WHEN T2.district = 20 THEN 1 ELSE 0 END) AS count FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name = 'Richard' AND T1.last_name = 'Durbin'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,772 | 4,772 |
CREATE TABLE `current`
(
bioguide_id TEXT,
first_name TEXT,
last_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
district REAL,
last TEXT,
name TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"CASE WHEN",
"AS",
"AND",
"SELECT",
"SUM",
"count",
"CASE",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 13 |
medium
|
{
"case_1": [
42
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
3,
4,
5,
6,
8,
12,
16,
19,
20,
21,
22,
24,
26,
30,
33,
34,
37,
39,
42,
44,
45,
47,
51,
52,
53,
57,
61,
63,
64,
66,
68,
69,
71,
73,
74,
75,
76,
77,
81,
83,
85,
88,
90,
93,
94,
95,
96,
97,
98,
99,
104,
105,
106,
111,
112,
113,
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117,
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148,
152,
153,
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155,
158,
160,
163,
164,
169,
170,
171,
172,
173,
175,
176,
177,
180,
183,
184,
186,
187,
189,
191,
192,
195,
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199,
200,
201,
207,
212,
213,
214,
215,
219,
223,
225,
226,
227,
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234,
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240,
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256,
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262,
264,
265,
266,
267,
268,
271,
272,
275,
276,
277,
278,
279,
282,
296,
298,
299,
300,
301,
304,
313,
314,
315,
316,
317,
319,
322,
323,
325,
330,
335,
339,
341,
347,
356,
360,
361,
362,
363,
365,
368,
370,
374,
375,
376,
378,
379,
381,
382,
383,
385,
391,
392,
393,
394,
395,
398,
402,
403,
405,
406,
408,
409,
412,
413,
414,
415,
416,
417,
419,
424,
425,
426,
427,
428,
433,
436,
437,
438,
440,
444,
445,
446,
448,
450,
451,
452,
453,
455,
463,
464,
469,
470,
475,
476,
477,
478,
479,
480,
482,
483,
486,
487,
488,
489,
490,
493,
494,
496,
497,
498,
500,
503,
504,
507,
509,
510,
514,
515,
516,
517,
518,
519,
520,
522,
524,
526,
528,
529,
530,
533,
535,
537,
539,
540,
541,
544,
547,
550,
557,
558,
559,
561,
562,
563,
564,
571,
573,
575,
579,
580,
581,
582,
584,
586,
588,
589,
595,
597,
601,
605,
608,
609,
610,
612,
613,
615,
620,
623,
624,
625,
626,
627,
628,
630,
632,
633,
637,
638,
640,
641,
643,
646,
647,
648,
649,
650,
651,
658,
660,
662,
663,
666,
668,
671,
672,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
690,
693,
695,
697,
699,
701,
702,
706,
709,
710,
712,
714,
715,
717,
723,
726,
727,
734,
735,
739,
740,
741,
743,
744,
745,
746,
747,
749,
750,
753,
754,
756,
758,
760,
762,
763,
765,
767,
768,
772,
773,
775,
776,
777,
780,
783,
787,
788,
793,
795,
796,
797,
798,
799,
800,
802,
804,
805,
806,
807,
808,
810,
813,
814,
819,
823,
824,
825,
827,
829,
830,
832,
835,
838,
841,
844,
848,
849,
851,
853,
858,
859,
860,
861,
867,
868,
870,
871,
873,
874,
877,
878,
879,
880,
882,
886,
888,
892,
895,
896,
902,
905,
907,
909,
912,
917,
922,
923,
924,
925,
926,
928,
930,
931,
932,
935,
943,
944,
949,
953,
954,
956,
958,
959,
961,
962,
969,
973,
974,
979,
980,
985,
986,
991,
993,
996,
998,
1000,
1001,
1008,
1012,
1017,
1019,
1022,
1023,
1027,
1031,
1038,
1039,
1042,
1044,
1046,
1052,
1058,
1061,
1062,
1063,
1064,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1086,
1087,
1092,
1093,
1098,
1100,
1101,
1103,
1104,
1105,
1109,
1111,
1115,
1119,
1123,
1128,
1131,
1132,
1133,
1134,
1135,
1136
]
}
|
legislator
|
Calculate the average number of current male legislators who chose Democrat from 2000 until 2021.
|
male refers to gender_bio = 'M'; legislators who chose Democrat refers to party = 'Democrat'; from 2000 until 2021 refers to start > = 2000 AND END < = 2021; calculation = DIVIDE(COUNT(bioguide_id), 22)
|
SELECT CAST(COUNT(T1.bioguide_id) AS REAL) / 22 FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'M' AND CAST(T2.start AS DATE) >= 2000 AND CAST(T2.END AS DATE) <= 2021 AND T2.party = 'Democrat'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,773 | 4,773 |
CREATE TABLE `current`
(
bioguide_id TEXT,
gender_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
end TEXT,
party TEXT,
party_affiliations TEXT,
start TEXT,
primary key bioguide, end,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 17 |
challenging
|
{
"case_1": [
993
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
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,
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,
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,
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,
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,
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,
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,
444,
445,
446,
447,
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,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
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,
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,
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
]
}
|
legislator
|
Calculate the percentage of the total number of current female legislators and past female legislators. State which one has the highest value.
|
female refers to gender_bio = 'F'; calculation = MULTIPLY(DIVIDE(COUNT(current.gender_bio = 'F' THEN current.bioguide_id)), (COUNT(historical.gender_bio = 'F' then historical.bioguide_id)), 1.0); the highest value refers to MAX(calculation)
|
SELECT CAST(COUNT(CASE WHEN current.gender_bio = 'F' THEN current.bioguide_id ELSE NULL END) AS REAL) * 100 / ( SELECT COUNT(CASE WHEN historical.gender_bio = 'F' THEN historical.bioguide_id ELSE NULL END) FROM historical ) FROM current
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,774 | 4,774 |
CREATE TABLE `current`
(
bioguide_id TEXT,
gender_bio TEXT,
primary key bioguide_id
)
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
gender_bio TEXT
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"CASE",
"NULL",
"CAST",
"COUNT",
"FROM"
] | 14 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
42,
148,
436,
788,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
6,
16,
24,
35,
42,
53,
61,
64,
71,
77,
81,
87,
93,
104,
106,
113,
119,
120,
126,
127,
129,
148,
152,
153,
155,
158,
171,
173,
184,
191,
192,
195,
201,
207,
212,
215,
219,
223,
225,
226,
234,
236,
248,
254,
258,
261,
263,
264,
267,
271,
279,
298,
299,
300,
303,
304,
305,
316,
317,
322,
323,
335,
347,
360,
375,
380,
383,
393,
398,
402,
406,
409,
412,
415,
423,
427,
436,
438,
443,
448,
452,
453,
458,
476,
478,
479,
485,
486,
487,
493,
500,
504,
508,
510,
514,
516,
517,
518,
528,
535,
537,
540,
547,
550,
560,
563,
564,
571,
573,
575,
580,
581,
597,
601,
620,
623,
628,
640,
646,
658,
661,
662,
666,
672,
676,
682,
686,
706,
710,
712,
723,
740,
744,
747,
750,
753,
762,
772,
776,
787,
788,
795,
796,
798,
800,
802,
805,
808,
813,
827,
841,
844,
848,
868,
870,
871,
874,
880,
894,
896,
898,
909,
912,
913,
922,
924,
926,
927,
935,
941,
943,
944,
958,
959,
978,
985,
998,
1008,
1012,
1023,
1036,
1048,
1062,
1064,
1066,
1069,
1070,
1072,
1078,
1082,
1087,
1092,
1098,
1121,
1128,
1129,
1131,
1133,
1134,
1135
]
}
|
legislator
|
Give the YouTube ID of the channel 'RepWassermanSchultz.'
|
RepWassermanSchultz refers to youtube
|
SELECT youtube_id FROM `social-media` WHERE youtube = 'RepWassermanSchultz'
|
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,775 | 4,775 |
CREATE TABLE `social-media`
(
youtube TEXT,
youtube_id TEXT
)
|
[
"-",
"SELECT",
"FROM"
] | 3 |
simple
|
{
"case_1": [
826
],
"case_2": [
826
],
"case_3": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
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159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
365,
366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
legislator
|
What are the Facebook, Twitter and YouTube usernames of Adam Kinzinger?
|
Facebook, Twitter and YouTube usernames refers to facebook, twitter, youtube; Adam Kinzinger is an official_full_name
|
SELECT T2.facebook FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.official_full_name = 'Adam Kinzinger'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,776 | 4,776 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
489,
1074
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
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1137
]
}
|
legislator
|
Which party does Christopher Henderson Clark belong to?
|
Christopher Henderson Clark is full name; full name refers to first_name, middle_name, last_name
|
SELECT T1.party FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.first_name OR T2.middle_name OR T2.last_name = 'ChristopherHendersonClark'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,777 | 4,777 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
middle_name TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
last TEXT,
middle TEXT,
name TEXT,
party TEXT,
party_affiliations TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"OR",
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
272
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
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390,
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392,
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395,
398,
401,
402,
403,
405,
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409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
List the official full names of 10 legislators who have a YouTube account but no Instagram account.
|
have a YouTube account but no Instagram account refers to facebook is not null and (instagram is null or instagram = '')
|
SELECT T2.official_full_name FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T1.facebook IS NOT NULL AND (T1.instagram IS NULL OR T1.instagram = '') LIMIT 10
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,778 | 4,778 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
instagram TEXT,
instagram_id REAL,
foreign key bioguide references currentbioguide_id
)
|
[
"OR",
"AND",
"SELECT",
"AS",
"LIMIT",
"-",
"NULL",
"INNER JOIN",
"ON",
"NOT",
"IS",
"FROM"
] | 15 |
medium
|
{
"case_1": [
148,
436
],
"case_2": [
148,
436,
522
],
"case_3": [
42,
148,
272,
368,
436,
522,
788
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
20,
21,
39,
42,
45,
53,
69,
73,
74,
75,
85,
98,
112,
115,
125,
128,
138,
141,
148,
150,
152,
154,
158,
163,
171,
172,
180,
183,
184,
187,
195,
197,
199,
200,
239,
240,
244,
258,
262,
267,
272,
275,
278,
296,
298,
305,
314,
319,
325,
339,
341,
356,
368,
382,
383,
385,
391,
393,
394,
395,
398,
402,
403,
406,
409,
416,
425,
428,
436,
444,
445,
446,
448,
451,
469,
476,
479,
482,
493,
496,
497,
498,
507,
514,
516,
520,
522,
528,
529,
530,
533,
544,
559,
562,
584,
586,
589,
595,
601,
624,
625,
626,
637,
643,
672,
675,
677,
681,
684,
690,
693,
706,
712,
724,
735,
746,
754,
756,
758,
760,
768,
777,
788,
805,
810,
829,
830,
835,
837,
838,
844,
851,
858,
861,
870,
878,
880,
886,
894,
905,
927,
930,
935,
953,
954,
956,
974,
975,
985,
1017,
1031,
1064,
1066,
1067,
1068,
1092,
1101,
1123,
1128,
1131
]
}
|
legislator
|
Give the official full names of legislators representing Virginia.
|
Virginia refers to state = 'VA'
|
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state = 'VA' GROUP BY T1.official_full_name
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,779 | 4,779 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
name TEXT,
state TEXT,
state_rank TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Which historical legislators are members of the National Greenbacker party? Write their first and last names.
|
members of the National Greenbacker party refers to party = 'National Greenbacker'; first and last names refers to first_name, last_name
|
SELECT T2.first_name, T2.last_name FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.party = 'National Greenbacker'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,780 | 4,780 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
first_name TEXT,
last_name TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
last TEXT,
name TEXT,
party TEXT,
party_affiliations TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
272
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
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4,
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11,
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26,
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29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
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47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Which legislator has the YouTube channel 'RoskamIL06?' Write the official full name.
|
YouTube channel 'RoskamIL06' refers to youtube = 'RoskamIL06';
|
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T2.youtube = 'RoskamIL06'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,781 | 4,781 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
youtube TEXT,
youtube_id TEXT,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
489,
1074
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
List the full names of 10 legislators who only have a Facebook account.
|
full names refers to official_full_name; only have a Facebook account refers to youtube is NULL or youtube = '', instagram is NULL or instagram = '', twitter is NULL or twitter = '', facebook is not NULL and facebook = ''
|
SELECT T2.official_full_name FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE (T1.youtube IS NULL OR T1.youtube = '') AND (T1.instagram IS NULL OR T1.instagram = '') AND (T1.twitter IS NULL OR T1.twitter = '') AND T1.facebook IS NOT NULL AND T1.facebook != ''
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,782 | 4,782 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
instagram TEXT,
instagram_id REAL,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key bioguide references currentbioguide_id
)
|
[
"OR",
"AND",
"SELECT",
"AS",
"-",
"NULL",
"INNER JOIN",
"ON",
"NOT",
"IS",
"FROM"
] | 23 |
challenging
|
{
"case_1": [
522
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
3,
4,
5,
7,
8,
12,
16,
19,
20,
21,
22,
24,
26,
30,
33,
34,
37,
39,
42,
44,
45,
47,
51,
52,
53,
57,
63,
66,
67,
68,
69,
71,
73,
74,
75,
76,
85,
88,
90,
92,
93,
95,
96,
97,
98,
99,
105,
106,
111,
112,
113,
115,
116,
117,
118,
119,
125,
126,
127,
128,
129,
131,
135,
138,
141,
142,
143,
144,
146,
148,
150,
152,
154,
158,
160,
163,
164,
169,
170,
171,
172,
175,
176,
177,
180,
183,
184,
187,
189,
195,
197,
199,
200,
214,
219,
227,
228,
239,
240,
244,
256,
258,
262,
263,
265,
266,
267,
268,
272,
275,
276,
277,
278,
282,
296,
298,
299,
300,
301,
303,
305,
314,
315,
317,
319,
325,
330,
339,
341,
356,
361,
368,
370,
374,
375,
376,
382,
383,
385,
391,
392,
393,
394,
395,
398,
402,
403,
405,
406,
408,
409,
413,
414,
416,
417,
419,
424,
425,
426,
427,
428,
433,
436,
437,
438,
440,
443,
444,
445,
446,
448,
451,
452,
455,
463,
464,
469,
470,
475,
476,
477,
478,
479,
480,
482,
489,
490,
493,
494,
496,
497,
498,
500,
503,
507,
508,
509,
514,
515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
533,
537,
539,
541,
544,
550,
557,
558,
559,
561,
562,
563,
573,
580,
581,
582,
584,
586,
588,
589,
595,
601,
605,
608,
610,
612,
613,
615,
620,
624,
625,
626,
627,
632,
633,
637,
641,
643,
646,
647,
648,
649,
651,
660,
663,
666,
668,
671,
672,
675,
677,
678,
681,
683,
684,
685,
686,
687,
690,
693,
695,
697,
699,
702,
706,
712,
714,
715,
724,
726,
727,
734,
735,
739,
740,
741,
743,
746,
747,
749,
753,
754,
756,
758,
760,
763,
765,
767,
768,
772,
773,
775,
776,
777,
780,
783,
788,
793,
797,
799,
800,
804,
805,
806,
807,
808,
810,
814,
819,
824,
825,
829,
830,
832,
835,
837,
838,
844,
848,
849,
851,
853,
858,
859,
860,
861,
867,
870,
873,
877,
878,
879,
880,
882,
886,
888,
892,
894,
895,
896,
902,
905,
907,
917,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
935,
941,
943,
944,
949,
953,
954,
956,
958,
959,
961,
969,
974,
975,
978,
980,
982,
985,
986,
991,
993,
996,
1000,
1001,
1014,
1017,
1019,
1020,
1022,
1023,
1027,
1031,
1036,
1039,
1042,
1044,
1046,
1048,
1052,
1058,
1059,
1061,
1062,
1063,
1064,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1084,
1086,
1087,
1092,
1100,
1101,
1103,
1104,
1105,
1109,
1111,
1115,
1119,
1123,
1128,
1129,
1131,
1132,
1133,
1134,
1136
]
}
|
legislator
|
Write the full names of junior ranked Republicans.
|
full name refers to official_full_name; junior refers to state_rank = 'junior'; Republicans refers to party = 'Republican'
|
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Republican' AND T2.state_rank = 'junior' GROUP BY T1.official_full_name
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,783 | 4,783 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
name TEXT,
party TEXT,
party_affiliations TEXT,
state TEXT,
state_rank TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
What is the contact URL of Claire McCaskill?
|
contact URL refers to contact_form; Claire McCaskill is an official_full_name
|
SELECT T2.contact_form FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Claire McCaskill' GROUP BY T2.contact_form
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,784 | 4,784 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
contact_form TEXT,
name TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Give the Wikipedia IDs of historical legislators who are Readjuster Democrats.
|
Readjuster Democrats refers to party = 'Readjuster Democrat'
|
SELECT T2.wikipedia_id FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.party = 'Readjuster Democrat'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,785 | 4,785 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
wikipedia_id TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
party TEXT,
party_affiliations TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
272
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
List the full names of Republican legislators who have a nickname.
|
full names refers to official_full_name; Republican refers to party = 'Republican'; nickname refers to nickname_name
|
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Republican' AND T1.nickname_name IS NOT NULL GROUP BY T1.official_full_name
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,786 | 4,786 |
CREATE TABLE `current`
(
bioguide_id TEXT,
nickname_name TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
name TEXT,
party TEXT,
party_affiliations TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"AND",
"SELECT",
"-",
"NULL",
"INNER JOIN",
"ON",
"NOT",
"IS",
"FROM"
] | 12 |
medium
|
{
"case_1": [
42
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
3,
4,
5,
7,
8,
11,
12,
16,
19,
20,
21,
22,
24,
26,
30,
33,
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44,
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47,
51,
52,
53,
55,
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62,
63,
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71,
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97,
98,
99,
105,
106,
111,
112,
113,
115,
116,
117,
118,
119,
121,
125,
126,
127,
128,
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131,
135,
138,
140,
141,
142,
143,
144,
146,
148,
150,
152,
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159,
160,
163,
164,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
187,
188,
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195,
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199,
200,
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206,
213,
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228,
229,
233,
239,
240,
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247,
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258,
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272,
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395,
398,
402,
403,
405,
406,
408,
409,
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413,
414,
416,
417,
419,
424,
425,
426,
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436,
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440,
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444,
445,
446,
448,
451,
452,
454,
455,
460,
462,
463,
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469,
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473,
475,
476,
477,
478,
479,
480,
482,
489,
490,
493,
494,
496,
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498,
500,
503,
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515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
532,
533,
536,
537,
538,
539,
541,
544,
548,
550,
552,
557,
558,
559,
560,
561,
562,
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566,
573,
579,
580,
581,
582,
584,
586,
588,
589,
595,
601,
605,
608,
610,
611,
612,
613,
615,
620,
624,
625,
626,
627,
630,
632,
633,
634,
637,
638,
641,
643,
645,
646,
647,
648,
649,
651,
654,
659,
660,
663,
665,
666,
668,
669,
671,
672,
675,
677,
678,
681,
683,
684,
685,
686,
687,
688,
690,
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695,
696,
697,
699,
701,
702,
706,
712,
714,
715,
720,
721,
724,
726,
727,
733,
734,
735,
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740,
741,
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747,
749,
751,
752,
753,
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756,
758,
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763,
765,
767,
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780,
783,
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790,
793,
797,
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800,
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805,
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825,
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830,
832,
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838,
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848,
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851,
853,
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866,
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877,
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888,
889,
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893,
894,
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896,
901,
902,
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907,
911,
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918,
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923,
924,
925,
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927,
928,
930,
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932,
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935,
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949,
950,
951,
953,
954,
956,
958,
959,
961,
962,
963,
969,
973,
974,
975,
977,
978,
980,
981,
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985,
986,
991,
993,
996,
1000,
1001,
1005,
1006,
1010,
1013,
1014,
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1023,
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1036,
1037,
1039,
1042,
1043,
1044,
1046,
1047,
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1050,
1051,
1052,
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1059,
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1063,
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1066,
1067,
1068,
1069,
1071,
1072,
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1080,
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1091,
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1105,
1106,
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1111,
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1128,
1129,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Which state did Veronica Grace Boland represent and which party is she affiliated?
|
Veronica Grace Boland is a full name; full name refers to first_name, middle_name, last_name; party affiliated refers to party
|
SELECT T2.state, T2.party FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name OR T1.middle_name OR T1.last_name = 'VeronicaGraceBoland'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,787 | 4,787 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
middle_name TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
last TEXT,
middle TEXT,
name TEXT,
party TEXT,
party_affiliations TEXT,
state TEXT,
state_rank TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"OR",
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
272
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
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62,
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280,
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282,
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298,
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300,
301,
302,
304,
307,
308,
309,
311,
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313,
314,
315,
316,
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319,
320,
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322,
323,
324,
325,
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335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
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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,
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444,
445,
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460,
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467,
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476,
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479,
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495,
496,
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498,
499,
500,
501,
503,
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507,
509,
510,
511,
514,
515,
516,
518,
519,
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526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
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544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
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567,
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570,
571,
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573,
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575,
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580,
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586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
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627,
628,
630,
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632,
633,
634,
636,
637,
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639,
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641,
643,
644,
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646,
647,
648,
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650,
651,
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654,
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658,
659,
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663,
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666,
668,
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670,
671,
672,
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684,
685,
686,
687,
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695,
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700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
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722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
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740,
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742,
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745,
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751,
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753,
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756,
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760,
761,
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763,
764,
765,
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767,
768,
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771,
772,
773,
774,
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777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
How many historical legislators were born in 1973?
|
born in 1973 refers to birthday_bio = 1973
|
SELECT COUNT(*) FROM historical WHERE CAST(birthday_bio AS date) = 1973
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,788 | 4,788 |
CREATE TABLE `historical`
(
birthday_bio TEXT
)
|
[
"AS",
"SELECT",
"CAST",
"COUNT",
"FROM"
] | 5 |
simple
|
{
"case_1": [
124
],
"case_2": [
124,
1069
],
"case_3": [
42,
124,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
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,
78,
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,
108,
109,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
124,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
150,
151,
152,
153,
154,
155,
157,
158,
159,
160,
162,
163,
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165,
166,
167,
169,
170,
171,
172,
173,
175,
176,
177,
178,
179,
180,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
206,
207,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
223,
224,
225,
226,
227,
228,
229,
230,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
252,
254,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
273,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
291,
292,
293,
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,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
367,
368,
369,
370,
371,
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,
410,
411,
412,
413,
414,
415,
416,
417,
419,
420,
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,
481,
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,
512,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
531,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
547,
548,
550,
552,
554,
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,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
600,
601,
602,
603,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
618,
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,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
710,
711,
712,
714,
715,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
730,
733,
734,
735,
736,
737,
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,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
817,
818,
819,
820,
821,
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,
865,
866,
867,
868,
869,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
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,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
942,
943,
944,
945,
949,
950,
951,
952,
953,
954,
956,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
980,
981,
982,
983,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
1022,
1023,
1025,
1027,
1029,
1030,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1090,
1091,
1092,
1094,
1095,
1096,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
What is the ratio of males and females among historical legislators?
|
male refers to gender_bio = 'M'; female refers to gender_bio = 'F'; calculation = DIVIDE(COUNT(gender_bio = 'M' THEN bioguide_id), COUNT(gender_bio = 'F' THEN bioguide_id))
|
SELECT CAST(SUM(CASE WHEN gender_bio = 'M' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN gender_bio = 'F' THEN 1 ELSE 0 END) FROM historical
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,789 | 4,789 |
CREATE TABLE `historical`
(
gender_bio TEXT
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"CAST",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
1069
],
"case_3": [
42,
148,
788,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
6,
10,
16,
24,
35,
39,
42,
54,
61,
64,
71,
77,
81,
83,
87,
93,
94,
104,
106,
112,
113,
119,
120,
122,
127,
129,
141,
148,
152,
153,
155,
158,
169,
171,
173,
184,
186,
189,
191,
192,
195,
201,
205,
207,
212,
213,
215,
219,
223,
225,
226,
228,
234,
236,
245,
248,
254,
258,
261,
263,
264,
267,
271,
278,
279,
298,
299,
300,
303,
304,
305,
313,
316,
317,
322,
323,
335,
347,
356,
360,
362,
363,
365,
367,
375,
378,
379,
380,
381,
383,
393,
398,
402,
406,
409,
412,
415,
423,
427,
438,
443,
448,
450,
451,
452,
453,
458,
470,
476,
478,
479,
483,
485,
486,
487,
488,
500,
504,
506,
508,
510,
514,
517,
518,
527,
528,
535,
537,
540,
547,
550,
560,
563,
564,
571,
573,
575,
579,
580,
581,
597,
601,
609,
612,
620,
623,
628,
630,
638,
640,
646,
650,
658,
661,
662,
666,
672,
676,
682,
686,
690,
695,
701,
706,
709,
710,
717,
723,
740,
744,
745,
747,
750,
753,
762,
772,
776,
777,
787,
788,
795,
796,
798,
800,
802,
805,
808,
810,
813,
823,
825,
827,
832,
841,
844,
848,
868,
870,
871,
872,
874,
880,
894,
896,
898,
909,
912,
913,
922,
924,
926,
929,
939,
941,
943,
944,
958,
959,
962,
973,
978,
979,
985,
998,
1004,
1008,
1012,
1023,
1027,
1031,
1036,
1038,
1048,
1062,
1064,
1066,
1068,
1069,
1070,
1072,
1075,
1078,
1082,
1087,
1092,
1093,
1098,
1100,
1110,
1121,
1128,
1129,
1131,
1133,
1134,
1135
]
}
|
legislator
|
Among the legislators who will end in 2009, how many are from the Republican party?
|
the legislators who will end in 2009 refers to END 2009; from the Republican party refers to party = 'Republican'
|
SELECT `END`, party FROM `current-terms` WHERE STRFTIME('%Y', `END`) = '2009' AND party = 'Republican'
|
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,790 | 4,790 |
CREATE TABLE `current-terms`
(
end TEXT,
party TEXT,
party_affiliations TEXT, end
)
|
[
"AND",
"SELECT",
"-",
"STRFTIME",
"FROM"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
42,
148,
272,
368,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1059,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
2,
3,
4,
5,
8,
10,
12,
19,
20,
21,
22,
24,
26,
30,
32,
33,
34,
37,
38,
39,
40,
42,
43,
44,
45,
47,
50,
51,
52,
53,
56,
57,
63,
66,
67,
68,
69,
71,
73,
74,
75,
76,
79,
85,
88,
90,
93,
95,
96,
97,
98,
99,
100,
105,
109,
111,
112,
113,
115,
116,
117,
118,
119,
125,
127,
128,
129,
131,
135,
138,
141,
142,
143,
144,
146,
148,
152,
154,
158,
160,
163,
164,
168,
169,
170,
172,
173,
175,
176,
177,
180,
183,
184,
187,
189,
197,
199,
200,
214,
219,
223,
227,
228,
230,
239,
240,
244,
253,
255,
256,
258,
259,
262,
265,
266,
267,
268,
270,
272,
275,
276,
277,
278,
282,
294,
296,
300,
301,
305,
314,
315,
317,
319,
322,
325,
330,
339,
341,
345,
350,
356,
359,
361,
362,
367,
368,
370,
374,
376,
379,
382,
383,
385,
391,
392,
393,
394,
395,
396,
398,
399,
402,
403,
405,
406,
408,
409,
413,
414,
416,
417,
418,
419,
421,
424,
425,
426,
427,
428,
433,
436,
437,
438,
439,
440,
444,
445,
446,
448,
451,
452,
455,
463,
464,
469,
470,
475,
476,
477,
480,
482,
489,
490,
492,
493,
494,
496,
497,
498,
500,
503,
507,
509,
510,
512,
514,
515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
533,
537,
539,
541,
544,
549,
550,
551,
554,
557,
558,
559,
561,
562,
563,
580,
581,
582,
584,
586,
588,
589,
591,
594,
595,
599,
601,
605,
608,
610,
612,
613,
615,
617,
618,
622,
624,
625,
626,
627,
632,
633,
637,
641,
643,
647,
648,
649,
651,
656,
660,
663,
666,
667,
668,
671,
675,
677,
678,
679,
680,
681,
683,
684,
685,
686,
687,
690,
692,
693,
695,
697,
699,
702,
707,
709,
712,
714,
715,
716,
718,
719,
726,
727,
729,
730,
734,
735,
737,
739,
740,
741,
743,
746,
747,
749,
753,
754,
756,
758,
760,
763,
765,
767,
768,
770,
773,
775,
776,
777,
780,
783,
785,
788,
793,
794,
795,
797,
798,
799,
800,
804,
805,
806,
807,
808,
810,
814,
817,
819,
820,
824,
825,
826,
829,
830,
831,
832,
835,
838,
840,
843,
844,
848,
849,
851,
853,
855,
858,
859,
860,
861,
864,
867,
870,
873,
877,
878,
879,
882,
886,
888,
892,
895,
896,
902,
903,
905,
907,
917,
920,
922,
923,
924,
925,
928,
930,
931,
932,
935,
943,
944,
945,
949,
953,
954,
955,
956,
958,
959,
961,
965,
969,
974,
979,
980,
985,
986,
991,
993,
996,
998,
1000,
1001,
1008,
1009,
1014,
1017,
1018,
1019,
1020,
1022,
1023,
1027,
1031,
1039,
1042,
1044,
1046,
1052,
1057,
1058,
1059,
1061,
1063,
1064,
1067,
1068,
1070,
1071,
1072,
1073,
1074,
1075,
1078,
1079,
1080,
1081,
1084,
1086,
1092,
1093,
1100,
1101,
1103,
1104,
1105,
1109,
1111,
1115,
1117,
1119,
1121,
1123,
1126,
1128,
1131,
1132,
1136
]
}
|
legislator
|
List the official full names and genders of legislators who have Collins as their last name.
|
genders refers to gender_bio; Collins is a last_name
|
SELECT official_full_name, gender_bio FROM current WHERE last_name = 'Collins'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,791 | 4,791 |
CREATE TABLE `current`
(
gender_bio TEXT,
last_name TEXT,
official_full_name TEXT
)
|
[
"SELECT",
"FROM"
] | 2 |
simple
|
{
"case_1": [
372,
492,
955,
1032,
1054,
1059
],
"case_2": [
372,
492,
955,
1032,
1054,
1059
],
"case_3": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
365,
366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
legislator
|
How many percent of senators were from class 1?
|
senator refers to type = 'sen'; class 1 refers to class = 1; calculation = MULTIPLY(DIVIDE(COUNT(class = 1 then bioguide), COUNT(bioguide)), 1.0)
|
SELECT CAST(SUM(CASE WHEN class = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM `historical-terms` WHERE type = 'sen'
|
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,792 | 4,792 |
CREATE TABLE `historical-terms`
(
CREATE TABLE "historical-terms"
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"-",
"CAST",
"COUNT",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
42,
148,
436,
788,
993,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
2,
6,
16,
24,
35,
39,
42,
54,
61,
64,
71,
74,
77,
81,
87,
93,
98,
104,
106,
112,
113,
115,
119,
120,
122,
127,
129,
141,
148,
152,
153,
155,
158,
169,
173,
183,
184,
187,
189,
191,
192,
195,
197,
199,
201,
205,
207,
212,
215,
219,
223,
225,
226,
228,
234,
236,
244,
245,
248,
254,
261,
264,
267,
271,
279,
299,
300,
303,
304,
316,
317,
322,
323,
325,
335,
339,
347,
356,
360,
362,
375,
380,
382,
383,
391,
392,
393,
394,
402,
406,
409,
412,
415,
416,
423,
427,
436,
438,
443,
445,
448,
452,
453,
458,
476,
478,
483,
485,
486,
487,
488,
500,
504,
508,
509,
510,
514,
517,
518,
520,
527,
535,
537,
540,
544,
547,
550,
559,
560,
563,
564,
571,
573,
575,
580,
581,
597,
601,
620,
623,
628,
630,
640,
646,
649,
658,
661,
662,
666,
676,
681,
682,
686,
690,
695,
709,
710,
723,
740,
744,
747,
750,
753,
756,
762,
772,
776,
777,
787,
788,
795,
796,
798,
800,
802,
805,
808,
810,
813,
827,
832,
838,
841,
848,
868,
870,
871,
872,
874,
894,
896,
898,
909,
912,
913,
922,
924,
926,
930,
939,
941,
943,
944,
954,
958,
959,
979,
985,
993,
998,
1008,
1012,
1023,
1031,
1036,
1048,
1062,
1064,
1068,
1069,
1070,
1072,
1078,
1082,
1087,
1092,
1093,
1098,
1100,
1101,
1110,
1121,
1123,
1128,
1129,
1131,
1133,
1134,
1135
]
}
|
legislator
|
Provide the current legislators' official full names who are from the Independent party.
|
Independent party refers to party = 'Independent'
|
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Independent' GROUP BY T1.official_full_name
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,793 | 4,793 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
name TEXT,
party TEXT,
party_affiliations TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
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552,
556,
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562,
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570,
571,
572,
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580,
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600,
601,
602,
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607,
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610,
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616,
620,
621,
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624,
625,
626,
627,
628,
630,
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632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
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645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
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662,
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670,
671,
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674,
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676,
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678,
681,
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683,
684,
685,
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1003,
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1011,
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1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
How many years had Jr. John Conyers served in total?
|
Jr. John Conyers is an official_full_name; years served refers to SUM(SUBTRACT(END, start))
|
SELECT SUM(CAST(T2.END - T2.start AS DATE)) AS sum FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'John Conyers, Jr.'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,794 | 4,794 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
end TEXT,
name TEXT,
start TEXT,
primary key bioguide, end,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"SUM",
"-",
"INNER JOIN",
"ON",
"sum",
"CAST",
"FROM"
] | 12 |
medium
|
{
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42
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993
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148,
272,
368,
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522,
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993,
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],
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1038,
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1080,
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1085,
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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
]
}
|
legislator
|
How old was Jr. F. James Sensenbrenner when he first started as a legislator?
|
Jr. F. James Sensenbrenner is an official_full_name; How old refers to SUBTRACT(MIN(start), birthday_bio)
|
SELECT CAST(MIN(T2.start) - T1.birthday_bio AS DATE) AS AGE FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'F. James Sensenbrenner, Jr.'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,795 | 4,795 |
CREATE TABLE `current`
(
bioguide_id TEXT,
birthday_bio DATE,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
name TEXT,
start TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"CAST",
"MIN",
"FROM"
] | 11 |
medium
|
{
"case_1": [
42
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
List the full names, religions, and parties of legislators who have served in Maine.
|
full names refers to official_full_name; religion refers to religion_bio; Maine refers to state = "ME"
|
SELECT T1.official_full_name, T2.relation, T2.party FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state = 'ME' GROUP BY T1.official_full_name, T2.relation, T2.party
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,796 | 4,796 |
CREATE TABLE `current`
(
bioguide_id TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `current-terms`
(
bioguide TEXT,
name TEXT,
party TEXT,
party_affiliations TEXT,
relation TEXT,
state TEXT,
state_rank TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"GROUP BY",
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
882
],
"case_2": [
42,
882,
993
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Among legislators who have an Instagram account, list down their full names and nicknames who have a Thomas ID of less than 1000.
|
have an Instagram account refers to instagram is not null; full names refers to official_full_name; nicknames refers to nickname_name; Thomas ID of less than 1000 refers to thomas_id < 1000;
|
SELECT T1.official_full_name, T1.nickname_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T2.instagram IS NOT NULL AND T1.thomas_id < 1000
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,797 | 4,797 |
CREATE TABLE `current`
(
bioguide_id TEXT,
nickname_name TEXT,
official_full_name TEXT,
thomas_id INTEGER,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"NULL",
"INNER JOIN",
"ON",
"NOT",
"IS",
"FROM"
] | 11 |
medium
|
{
"case_1": [
148,
436
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
3,
4,
5,
7,
8,
12,
16,
19,
20,
21,
22,
24,
26,
30,
33,
34,
37,
39,
42,
44,
45,
47,
51,
52,
53,
57,
63,
66,
67,
68,
69,
71,
73,
74,
75,
76,
85,
88,
90,
92,
93,
95,
96,
97,
98,
99,
105,
106,
111,
112,
113,
115,
116,
117,
118,
119,
125,
126,
127,
128,
129,
131,
135,
138,
141,
142,
143,
144,
146,
148,
150,
152,
154,
158,
160,
163,
164,
169,
170,
171,
172,
175,
176,
177,
180,
183,
184,
187,
189,
195,
197,
199,
200,
214,
219,
227,
228,
239,
240,
244,
256,
258,
262,
263,
265,
266,
267,
268,
272,
275,
276,
277,
278,
282,
296,
298,
299,
300,
301,
303,
305,
314,
315,
317,
319,
325,
330,
339,
341,
356,
361,
368,
370,
374,
375,
376,
382,
383,
385,
391,
392,
393,
394,
395,
398,
402,
403,
405,
406,
408,
409,
413,
414,
416,
417,
419,
424,
425,
426,
427,
428,
433,
436,
437,
438,
440,
443,
444,
445,
446,
448,
451,
452,
455,
463,
464,
469,
470,
475,
476,
477,
478,
479,
480,
482,
489,
490,
493,
494,
496,
497,
498,
500,
503,
507,
508,
509,
514,
515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
533,
537,
539,
541,
544,
550,
557,
558,
559,
561,
562,
563,
573,
580,
581,
582,
584,
586,
588,
589,
595,
601,
605,
608,
610,
612,
613,
615,
620,
624,
625,
626,
627,
632,
633,
637,
641,
643,
646,
647,
648,
649,
651,
660,
663,
666,
668,
671,
672,
675,
677,
678,
681,
683,
684,
685,
686,
687,
690,
693,
695,
697,
699,
702,
706,
712,
714,
715,
724,
726,
727,
734,
735,
739,
740,
741,
743,
746,
747,
749,
753,
754,
756,
758,
760,
763,
765,
767,
768,
772,
773,
775,
776,
777,
780,
783,
788,
793,
797,
799,
800,
804,
805,
806,
807,
808,
810,
814,
819,
824,
825,
829,
830,
832,
835,
837,
838,
844,
848,
849,
851,
853,
858,
859,
860,
861,
867,
870,
873,
877,
878,
879,
880,
882,
886,
888,
892,
894,
895,
896,
902,
905,
907,
917,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
935,
941,
943,
944,
949,
953,
954,
956,
958,
959,
961,
969,
974,
978,
980,
982,
985,
986,
991,
993,
996,
1000,
1001,
1014,
1017,
1019,
1020,
1022,
1023,
1027,
1031,
1036,
1039,
1042,
1044,
1046,
1048,
1052,
1058,
1059,
1061,
1062,
1063,
1064,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1084,
1086,
1092,
1100,
1101,
1103,
1104,
1105,
1109,
1111,
1115,
1119,
1123,
1128,
1129,
1131,
1132,
1133,
1134,
1136
]
}
|
legislator
|
When was the last serving date of Matt Salmon?
|
Matt Salmon is an official_full_name
|
SELECT T1.END FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.official_full_name = 'Matt Salmon'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,798 | 4,798 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
official_full_name TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
end TEXT,
name TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
272
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Among the legislators who have served in the U.S. House, provide the party and the state of the legislators who were born in 1738.
|
have served in the U.S. House refers to house_history_id IS NOT NULL; born in 1738 refers to birthday_bio = 1738
|
SELECT T1.party, T1.state FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.house_history_id IS NOT NULL AND T2.birthday_bio LIKE '%1738%'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,799 | 4,799 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
birthday_bio TEXT,
house_history_id REAL
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
party TEXT,
party_affiliations TEXT,
state TEXT,
state_rank TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"LIKE",
"-",
"NULL",
"INNER JOIN",
"ON",
"NOT",
"IS",
"FROM"
] | 12 |
medium
|
{
"case_1": [
368
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
3,
4,
5,
7,
8,
12,
16,
19,
20,
21,
22,
24,
26,
30,
33,
34,
37,
39,
42,
44,
45,
47,
51,
52,
53,
57,
59,
63,
66,
67,
68,
69,
71,
73,
74,
75,
76,
81,
82,
85,
88,
90,
92,
93,
95,
96,
97,
98,
99,
105,
106,
111,
112,
113,
115,
116,
117,
118,
119,
125,
126,
127,
128,
129,
131,
135,
136,
138,
141,
142,
143,
144,
146,
148,
150,
152,
154,
158,
160,
163,
164,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
187,
189,
195,
197,
199,
200,
202,
212,
214,
219,
227,
228,
239,
240,
244,
247,
256,
258,
262,
263,
264,
265,
266,
267,
268,
272,
275,
276,
277,
278,
282,
296,
298,
299,
300,
301,
303,
305,
314,
315,
317,
319,
325,
330,
339,
341,
356,
361,
368,
370,
373,
374,
375,
376,
382,
383,
385,
391,
392,
393,
394,
395,
398,
402,
403,
405,
406,
407,
408,
409,
413,
414,
415,
416,
417,
419,
424,
425,
426,
427,
428,
430,
433,
436,
437,
438,
440,
443,
444,
445,
446,
448,
451,
452,
455,
463,
464,
469,
470,
475,
476,
477,
478,
479,
480,
482,
489,
490,
493,
494,
496,
497,
498,
500,
503,
507,
508,
509,
514,
515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
532,
533,
537,
539,
541,
544,
550,
557,
558,
559,
561,
562,
563,
573,
580,
581,
582,
584,
586,
588,
589,
595,
601,
605,
608,
610,
612,
613,
615,
620,
624,
625,
626,
627,
632,
633,
637,
641,
643,
646,
647,
648,
649,
651,
660,
663,
666,
668,
671,
672,
675,
677,
678,
681,
683,
684,
685,
686,
687,
690,
693,
695,
697,
699,
702,
706,
712,
714,
715,
724,
726,
727,
734,
735,
739,
740,
741,
743,
746,
747,
749,
753,
754,
756,
758,
760,
763,
765,
767,
768,
772,
773,
774,
775,
776,
777,
780,
783,
787,
788,
793,
796,
797,
799,
800,
804,
805,
806,
807,
808,
810,
814,
819,
824,
825,
828,
829,
830,
832,
835,
837,
838,
841,
844,
848,
849,
850,
851,
853,
858,
859,
860,
861,
867,
870,
873,
875,
877,
878,
879,
880,
882,
886,
888,
892,
894,
895,
896,
902,
905,
907,
909,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
935,
941,
943,
944,
949,
953,
954,
956,
958,
959,
961,
969,
974,
978,
980,
982,
985,
986,
991,
993,
996,
1000,
1001,
1014,
1017,
1019,
1020,
1022,
1023,
1027,
1031,
1036,
1039,
1042,
1044,
1046,
1048,
1052,
1058,
1059,
1061,
1062,
1063,
1064,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1084,
1086,
1092,
1098,
1100,
1101,
1103,
1104,
1105,
1109,
1111,
1115,
1119,
1123,
1128,
1129,
1131,
1132,
1133,
1134,
1136
]
}
|
legislator
|
List the IDs and full names of legislators from the Liberal Republican party.
|
full_name refers to first_name, last_name; from the Liberal Republican party refers to party = 'Liberal Republican'
|
SELECT T2.bioguide_id, T2.first_name, T2.last_name FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.party = 'Liberal Republican'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,800 | 4,800 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
first_name TEXT,
last_name TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
last TEXT,
name TEXT,
party TEXT,
party_affiliations TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
272
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
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11,
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1135,
1136,
1137
]
}
|
legislator
|
Among the legislators who started a term on 2nd December 1793, how many of them were males?
|
started a term on 2nd December 1793 refers to start = '1793-12-02'; male refers to gender_bio = 'M'
|
SELECT COUNT(T1.bioguide_id) FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'M' AND T2.start = '1793-12-02'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,801 | 4,801 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
gender_bio TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
end TEXT,
start TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 11 |
medium
|
{
"case_1": [
368
],
"case_2": [
272,
368,
788
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
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29,
30,
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41,
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59,
62,
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77,
80,
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96,
97,
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101,
102,
105,
106,
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117,
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125,
126,
127,
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578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Compare the number of legislators who started the term in 1875 and 2005.
|
started the term in 1875 refers to start LIKE '1875%'; started the term in 2005 refers to start LIKE '2005%'
|
SELECT SUM(CASE WHEN `current-terms`.start LIKE '2005%' THEN 1 ELSE 0 END) - ( SELECT SUM(CASE WHEN start LIKE '1875%' THEN 1 ELSE 0 END) FROM `historical-terms` ) FROM `current-terms`
|
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,802 | 4,802 |
CREATE TABLE `current-terms`
(
start TEXT
)
CREATE TABLE `historical-terms`
(
start TEXT
)
|
[
"CASE WHEN",
"SELECT",
"SUM",
"LIKE",
"CASE",
"-",
"FROM"
] | 15 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
42,
148,
788,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
3,
6,
16,
24,
39,
42,
54,
61,
64,
71,
77,
81,
104,
106,
112,
113,
120,
122,
127,
129,
141,
148,
152,
153,
155,
158,
173,
184,
189,
191,
192,
195,
201,
205,
207,
212,
215,
219,
223,
225,
226,
228,
234,
236,
240,
245,
248,
258,
261,
263,
264,
267,
271,
279,
299,
300,
304,
322,
335,
347,
356,
360,
362,
375,
383,
393,
402,
406,
409,
412,
415,
423,
427,
438,
448,
452,
453,
458,
476,
478,
485,
486,
500,
504,
508,
510,
514,
517,
518,
535,
540,
547,
550,
563,
564,
571,
573,
575,
580,
581,
601,
620,
623,
624,
628,
640,
646,
662,
666,
675,
676,
682,
686,
695,
709,
710,
723,
740,
744,
747,
753,
754,
756,
762,
772,
776,
777,
787,
788,
795,
796,
798,
800,
805,
808,
827,
832,
841,
844,
848,
858,
868,
870,
871,
872,
874,
896,
909,
912,
922,
924,
926,
930,
939,
943,
944,
959,
979,
980,
985,
998,
1008,
1012,
1031,
1036,
1048,
1057,
1062,
1064,
1068,
1069,
1070,
1078,
1082,
1087,
1092,
1093,
1098,
1101,
1110,
1111,
1129,
1131,
1133,
1134,
1135
]
}
|
legislator
|
List the full names, Twitter IDs, and YouTube IDs of legislators who have Richard as their first name.
|
full names refers to official_full_name; Richard as their first name refers to first_name = 'Richard'
|
SELECT T2.official_full_name, T1.twitter_id, T1.youtube_id FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T2.first_name = 'Richard'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,803 | 4,803 |
CREATE TABLE `current`
(
bioguide_id TEXT,
first_name TEXT,
official_full_name TEXT,
primary key bioguide_id
)
CREATE TABLE `social-media`
(
CREATE TABLE "social-media"
bioguide TEXT
primary key,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key bioguide references currentbioguide_id
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
489,
1074
],
"case_2": [
148,
436,
489,
522,
1074
],
"case_3": [
42,
148,
272,
368,
436,
489,
522,
788,
882,
993,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
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714,
715,
717,
720,
721,
722,
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724,
725,
726,
727,
728,
733,
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735,
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740,
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744,
745,
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751,
752,
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754,
755,
756,
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759,
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761,
762,
763,
764,
765,
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768,
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771,
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790,
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796,
797,
798,
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810,
812,
813,
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822,
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829,
830,
832,
833,
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835,
837,
838,
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841,
844,
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846,
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850,
851,
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854,
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866,
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875,
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891,
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902,
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925,
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951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
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966,
967,
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970,
971,
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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,
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1106,
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1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
Provide the start date, end date, and party of Pearl Peden Oldfield.
|
start date refers to start; end date refers to end date; Pearl Peden Oldfield refers to official_full_name; official_full_name refers to first_name, middle_name, last_name
|
SELECT T2.start, T2.`end`, T2.party FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name = 'Pearl' AND T1.middle_name = 'Peden' AND T1.last_name = 'Oldfield'
|
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,804 | 4,804 |
CREATE TABLE `historical`
(
bioguide_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
middle_name TEXT
)
CREATE TABLE `historical-terms`
(
bioguide TEXT
primary key,
end TEXT,
last TEXT,
middle TEXT,
name TEXT,
party TEXT,
party_affiliations TEXT,
start TEXT,
foreign key bioguide references historicalbioguide_id
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
272
],
"case_2": [
272,
368,
788
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42,
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882,
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993,
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],
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674,
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677,
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679,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
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696,
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699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
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722,
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725,
726,
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728,
733,
734,
735,
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739,
740,
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999,
1000,
1001,
1003,
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1006,
1008,
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1011,
1012,
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1015,
1016,
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1025,
1027,
1029,
1031,
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1034,
1035,
1037,
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1042,
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1051,
1052,
1056,
1058,
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1061,
1062,
1063,
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1065,
1066,
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1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
legislator
|
What is the birthday of Amy Klobuchar?
|
birthday refers to birthday_bio; Amy Klobuchar refers to full name; full name refers to first_name, last_name
|
SELECT birthday_bio FROM current WHERE first_name = 'Amy' AND last_name = 'Klobuchar'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,805 | 4,805 |
CREATE TABLE `current`
(
birthday_bio DATE,
first_name TEXT,
last_name TEXT
)
|
[
"AND",
"SELECT",
"FROM"
] | 3 |
simple
|
{
"case_1": [
372,
492,
955,
1032,
1054,
1059
],
"case_2": [
372,
492,
955,
1032,
1054,
1059
],
"case_3": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
365,
366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
legislator
|
How many legislators have not been registered in Federal Election Commission data?
|
have not been registered in Federal Election Commission data refers to fec_id is null OR fec_id = ''
|
SELECT COUNT(*) FROM current WHERE fec_id IS NULL OR fec_id = ''
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,806 | 4,806 |
CREATE TABLE `current`
(
fec_id TEXT
)
|
[
"OR",
"SELECT",
"NULL",
"COUNT",
"IS",
"FROM"
] | 6 |
simple
|
{
"case_1": [
1059
],
"case_2": [
1059
],
"case_3": [
42,
148,
436,
522,
1059,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
16,
42,
53,
67,
92,
106,
126,
138,
148,
150,
152,
158,
171,
173,
195,
216,
258,
263,
267,
294,
298,
299,
303,
305,
375,
395,
398,
402,
406,
423,
436,
443,
458,
476,
478,
479,
485,
493,
508,
516,
522,
528,
533,
573,
589,
601,
620,
637,
646,
664,
672,
706,
712,
724,
772,
805,
837,
838,
844,
880,
894,
926,
927,
935,
941,
965,
975,
978,
982,
985,
1014,
1020,
1036,
1048,
1059,
1062,
1064,
1066,
1069,
1087,
1101,
1128,
1129,
1131,
1133,
1134
]
}
|
legislator
|
State the number of female legislators in the list.
|
female refers to gender_bio = 'F'
|
SELECT COUNT(*) FROM current WHERE gender_bio = 'F'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,807 | 4,807 |
CREATE TABLE `current`
(
gender_bio TEXT
)
|
[
"COUNT",
"SELECT",
"FROM"
] | 3 |
simple
|
{
"case_1": [
372,
492,
955,
1032,
1054,
1059
],
"case_2": [
372,
492,
955,
1032,
1054,
1059
],
"case_3": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
365,
366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
legislator
|
Give the full name of legislators who have accounts on OpenSecrets.org.
|
full name refers to first_name, last_name; have accounts on OpenSecrets.org refers to opensecrets_id IS NOT NULL AND opensecrets_id <> ''
|
SELECT COUNT(*) FROM current WHERE opensecrets_id IS NOT NULL AND opensecrets_id <> ''
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,808 | 4,808 |
CREATE TABLE `current`
(
opensecrets_id TEXT
)
|
[
"AND",
"SELECT",
"NULL",
"NOT",
"COUNT",
"IS",
"FROM"
] | 7 |
simple
|
{
"case_1": [
1059
],
"case_2": [
1059
],
"case_3": [
42,
148,
436,
522,
1059,
1069
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
2,
4,
16,
22,
30,
32,
37,
40,
42,
47,
51,
53,
63,
67,
68,
69,
73,
74,
75,
88,
92,
93,
96,
98,
106,
109,
113,
115,
117,
118,
119,
125,
126,
131,
138,
142,
143,
146,
148,
150,
152,
158,
160,
164,
169,
170,
171,
175,
183,
184,
187,
195,
197,
200,
214,
227,
230,
244,
256,
258,
259,
263,
267,
268,
276,
277,
294,
298,
299,
301,
303,
305,
314,
317,
319,
325,
330,
339,
341,
370,
374,
375,
382,
383,
391,
393,
395,
398,
399,
402,
403,
406,
416,
417,
421,
423,
424,
426,
436,
443,
444,
448,
458,
464,
469,
476,
477,
478,
479,
485,
490,
493,
500,
508,
510,
512,
514,
515,
516,
519,
520,
522,
526,
528,
533,
537,
544,
554,
558,
559,
563,
573,
581,
582,
589,
591,
594,
595,
601,
608,
613,
618,
620,
627,
629,
632,
633,
637,
641,
646,
656,
663,
667,
668,
671,
672,
680,
687,
692,
706,
707,
712,
714,
718,
719,
724,
727,
730,
734,
735,
739,
740,
743,
749,
753,
756,
760,
768,
772,
797,
798,
799,
800,
804,
805,
814,
817,
819,
820,
824,
830,
831,
837,
838,
843,
844,
849,
851,
853,
867,
870,
877,
880,
886,
888,
894,
896,
902,
903,
917,
923,
924,
926,
927,
930,
935,
941,
945,
954,
956,
958,
961,
965,
969,
978,
982,
985,
986,
996,
1008,
1014,
1020,
1022,
1023,
1036,
1042,
1048,
1058,
1059,
1062,
1064,
1066,
1067,
1069,
1071,
1072,
1079,
1084,
1086,
1100,
1101,
1103,
1104,
1119,
1121,
1123,
1126,
1128,
1129,
1131,
1133,
1134
]
}
|
legislator
|
What is the middle name of the legislator whose birthday was on 8/24/1956?
|
birthday was on 8/24/1956 refers to birthday_bio = '1956-08-24'
|
SELECT middle_name FROM current WHERE birthday_bio = '1956-08-24'
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,809 | 4,809 |
CREATE TABLE `current`
(
birthday_bio DATE,
middle_name TEXT
)
|
[
"-",
"SELECT",
"FROM"
] | 4 |
simple
|
{
"case_1": [
372,
492,
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],
"case_2": [
372,
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522,
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489,
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522,
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29,
30,
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68,
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71,
72,
73,
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79,
80,
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85,
86,
87,
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90,
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92,
93,
94,
95,
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98,
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100,
101,
102,
103,
104,
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106,
107,
108,
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110,
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113,
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137,
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151,
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155,
156,
157,
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159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
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170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
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189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
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325,
326,
327,
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330,
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351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
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366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
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585,
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587,
588,
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590,
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606,
607,
608,
609,
610,
611,
612,
613,
614,
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617,
618,
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620,
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630,
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632,
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636,
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661,
662,
663,
664,
665,
666,
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670,
671,
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675,
676,
677,
678,
679,
680,
681,
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684,
685,
686,
687,
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689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
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727,
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735,
736,
737,
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739,
740,
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744,
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,
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785,
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787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
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800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
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812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
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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,
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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,
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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,
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948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
legislator
|
How many legislators hold the title "Majority Leader"?
|
SELECT COUNT(bioguide) FROM `current-terms` WHERE title = 'Majority Leader'
|
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
|
CREATE TABLE current
(
ballotpedia_id TEXT,
bioguide_id TEXT,
birthday_bio DATE,
cspan_id REAL,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id REAL,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id INTEGER,
votesmart_id REAL,
wikidata_id TEXT,
wikipedia_id TEXT,
primary key (bioguide_id, cspan_id)
)
CREATE TABLE "current-terms"
(
address TEXT,
bioguide TEXT,
caucus TEXT,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
primary key (bioguide, end),
foreign key (bioguide) references current(bioguide_id)
)
CREATE TABLE historical
(
ballotpedia_id TEXT,
bioguide_id TEXT
primary key,
bioguide_previous_id TEXT,
birthday_bio TEXT,
cspan_id TEXT,
fec_id TEXT,
first_name TEXT,
gender_bio TEXT,
google_entity_id_id TEXT,
govtrack_id INTEGER,
house_history_alternate_id TEXT,
house_history_id REAL,
icpsr_id REAL,
last_name TEXT,
lis_id TEXT,
maplight_id TEXT,
middle_name TEXT,
nickname_name TEXT,
official_full_name TEXT,
opensecrets_id TEXT,
religion_bio TEXT,
suffix_name TEXT,
thomas_id TEXT,
votesmart_id TEXT,
wikidata_id TEXT,
wikipedia_id TEXT
)
CREATE TABLE "historical-terms"
(
address TEXT,
bioguide TEXT
primary key,
chamber TEXT,
class REAL,
contact_form TEXT,
district REAL,
end TEXT,
fax TEXT,
last TEXT,
middle TEXT,
name TEXT,
office TEXT,
party TEXT,
party_affiliations TEXT,
phone TEXT,
relation TEXT,
rss_url TEXT,
start TEXT,
state TEXT,
state_rank TEXT,
title TEXT,
type TEXT,
url TEXT,
foreign key (bioguide) references historical(bioguide_id)
)
CREATE TABLE "social-media"
(
bioguide TEXT
primary key,
facebook TEXT,
facebook_id REAL,
govtrack REAL,
instagram TEXT,
instagram_id REAL,
thomas INTEGER,
twitter TEXT,
twitter_id REAL,
youtube TEXT,
youtube_id TEXT,
foreign key (bioguide) references current(bioguide_id)
)
|
na
| 4,810 | 4,810 |
CREATE TABLE `current-terms`
(
bioguide TEXT,
title TEXT,
primary key bioguide,
foreign key bioguide references currentbioguide_id
)
|
[
"COUNT",
"-",
"SELECT",
"FROM"
] | 4 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
42,
124,
148,
272,
368,
436,
489,
522,
788,
826,
882,
955,
993,
1059,
1069,
1074
],
"case_4": [
42,
124,
148,
272,
368,
372,
436,
489,
492,
522,
788,
826,
882,
955,
993,
1032,
1054,
1059,
1069,
1074
],
"case_5": [
0,
1,
2,
3,
4,
6,
9,
11,
13,
15,
16,
21,
22,
25,
27,
28,
30,
32,
34,
35,
36,
37,
39,
40,
42,
43,
45,
47,
51,
53,
55,
61,
62,
63,
67,
68,
69,
73,
74,
75,
77,
78,
79,
82,
85,
86,
87,
88,
89,
91,
93,
96,
97,
98,
105,
106,
108,
109,
112,
113,
115,
117,
118,
119,
121,
124,
125,
126,
128,
131,
135,
140,
141,
142,
143,
146,
147,
148,
152,
154,
157,
158,
159,
160,
164,
167,
169,
170,
172,
173,
175,
179,
180,
182,
183,
184,
185,
187,
188,
189,
190,
191,
192,
196,
197,
198,
199,
202,
203,
206,
210,
212,
214,
216,
224,
225,
226,
227,
228,
229,
230,
233,
234,
240,
243,
244,
247,
252,
253,
254,
256,
259,
261,
267,
268,
269,
271,
272,
273,
276,
277,
286,
291,
293,
294,
296,
299,
300,
301,
303,
311,
314,
316,
317,
319,
320,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
348,
349,
352,
354,
356,
358,
359,
360,
362,
364,
368,
370,
371,
373,
374,
375,
380,
382,
383,
384,
391,
392,
393,
394,
396,
399,
401,
403,
406,
409,
410,
411,
412,
416,
417,
420,
421,
423,
424,
425,
426,
436,
443,
444,
445,
446,
447,
448,
453,
454,
458,
460,
462,
464,
465,
466,
467,
469,
471,
473,
476,
477,
478,
481,
484,
485,
487,
488,
489,
490,
493,
496,
498,
500,
503,
504,
505,
507,
509,
510,
512,
514,
515,
516,
517,
519,
520,
522,
526,
529,
531,
532,
535,
536,
537,
538,
542,
543,
544,
545,
547,
548,
550,
552,
554,
558,
559,
560,
562,
563,
564,
566,
573,
580,
581,
582,
585,
591,
594,
595,
596,
597,
598,
601,
603,
606,
608,
611,
613,
617,
618,
620,
624,
627,
629,
630,
632,
633,
634,
641,
643,
645,
646,
647,
649,
654,
656,
658,
659,
660,
661,
662,
663,
664,
665,
667,
668,
669,
671,
673,
675,
677,
679,
680,
681,
684,
687,
688,
689,
692,
693,
694,
695,
696,
698,
703,
705,
707,
709,
712,
714,
718,
719,
721,
727,
729,
730,
733,
734,
735,
736,
737,
739,
740,
743,
746,
748,
749,
750,
752,
753,
754,
756,
757,
758,
760,
762,
768,
769,
770,
772,
777,
778,
779,
785,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
811,
812,
813,
814,
817,
818,
819,
820,
821,
824,
826,
827,
829,
830,
831,
835,
838,
839,
841,
843,
849,
851,
853,
857,
858,
864,
865,
866,
867,
869,
870,
874,
876,
877,
878,
882,
886,
888,
890,
893,
894,
896,
897,
898,
899,
901,
902,
903,
905,
909,
911,
912,
913,
915,
917,
918,
922,
923,
924,
925,
926,
927,
930,
934,
935,
941,
942,
943,
945,
950,
951,
954,
955,
956,
958,
959,
960,
961,
963,
965,
968,
969,
972,
974,
975,
976,
977,
979,
980,
981,
983,
985,
986,
993,
996,
1005,
1006,
1008,
1010,
1011,
1013,
1014,
1015,
1020,
1022,
1023,
1030,
1031,
1037,
1042,
1043,
1047,
1050,
1051,
1052,
1053,
1055,
1057,
1058,
1059,
1062,
1064,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1076,
1077,
1078,
1079,
1082,
1084,
1086,
1087,
1090,
1092,
1093,
1094,
1096,
1100,
1101,
1103,
1104,
1106,
1111,
1112,
1113,
1119,
1121,
1123,
1124,
1126,
1127,
1128,
1131,
1132,
1133,
1134,
1135,
1137
]
}
|
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