instruction stringlengths 0 1.06k | response stringlengths 2 3.61k | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|
What is the August 15, 2012 population when the population density of 2012 is 307? | SELECT MAX(population_august_15), _2012 FROM table_12496904_1 WHERE population_density_2012__km_2__ = 307 | [
2061,
318,
262,
2932,
1315,
11,
2321,
3265,
618,
262,
3265,
12109,
286,
2321,
318,
38369,
30,
46506,
25882,
7,
39748,
62,
7493,
436,
62,
1314,
828,
4808,
6999,
16034,
3084,
62,
1065,
2920,
3388,
3023,
62,
16,
33411,
3265,
62,
43337,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2932,
1315,
11,
2321,
3265,
618,
262,
3265,
12109,
286,
2321,
318,
38369,
30,
46506,
25882,
7,
39748,
62,
7493,
436,
62,
1314,
828,
4808,
6999,
16034,
3084,
62,
1065,
2920,
3388,
3023,
62,
16,
33411,
3265,
62,
43337,
... |
What is the name of the race that occurred most recently? | SELECT name FROM races ORDER BY date DESC LIMIT 1 | [
2061,
318,
262,
1438,
286,
262,
3234,
326,
5091,
749,
2904,
30,
46506,
1438,
16034,
9558,
38678,
11050,
3128,
22196,
34,
27564,
2043,
352
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
1438,
286,
262,
3234,
326,
5091,
749,
2904,
30,
46506,
1438,
16034,
9558,
38678,
11050,
3128,
22196,
34,
27564,
2043,
352
] |
how many finalist were 28 years old ? | SELECT COUNT("finalist") FROM table_203_129 WHERE "age" = 28 | [
4919,
867,
2457,
396,
547,
2579,
812,
1468,
5633,
46506,
327,
28270,
7203,
20311,
396,
4943,
16034,
3084,
62,
22416,
62,
18741,
33411,
366,
496,
1,
796,
2579
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
4919,
867,
2457,
396,
547,
2579,
812,
1468,
5633,
46506,
327,
28270,
7203,
20311,
396,
4943,
16034,
3084,
62,
22416,
62,
18741,
33411,
366,
496,
1,
796,
2579
] |
What was the result when the attendance was 25,418? | SELECT result FROM table_name_99 WHERE attendance = "25,418" | [
2061,
373,
262,
1255,
618,
262,
14858,
373,
1679,
11,
39667,
30,
46506,
1255,
16034,
3084,
62,
3672,
62,
2079,
33411,
14858,
796,
366,
1495,
11,
39667,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
1255,
618,
262,
14858,
373,
1679,
11,
39667,
30,
46506,
1255,
16034,
3084,
62,
3672,
62,
2079,
33411,
14858,
796,
366,
1495,
11,
39667,
1
] |
how many patients have stayed in the hospital for more than 6 days with a lab test hematology? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "6" AND lab."CATEGORY" = "Hematology" | [
4919,
867,
3871,
423,
9658,
287,
262,
4436,
329,
517,
621,
718,
1528,
351,
257,
2248,
1332,
339,
6759,
1435,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
2248,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
4919,
867,
3871,
423,
9658,
287,
262,
4436,
329,
517,
621,
718,
1528,
351,
257,
2248,
1332,
339,
6759,
1435,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
2248,
... |
How many years did he have an average finish of 11.7? | SELECT COUNT(avg_start) FROM table_2387790_2 WHERE avg_finish = "11.7" | [
2437,
867,
812,
750,
339,
423,
281,
2811,
5461,
286,
1367,
13,
22,
30,
46506,
327,
28270,
7,
615,
70,
62,
9688,
8,
16034,
3084,
62,
23721,
3324,
3829,
62,
17,
33411,
42781,
62,
15643,
680,
796,
366,
1157,
13,
22,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
812,
750,
339,
423,
281,
2811,
5461,
286,
1367,
13,
22,
30,
46506,
327,
28270,
7,
615,
70,
62,
9688,
8,
16034,
3084,
62,
23721,
3324,
3829,
62,
17,
33411,
42781,
62,
15643,
680,
796,
366,
1157,
13,
22,
1
] |
What was the city for the winner Darren Hossack at the circuit of phillip island grand prix circuit? | SELECT "City / State" FROM table_60631 WHERE "Winner" = 'darren hossack' AND "Circuit" = 'phillip island grand prix circuit' | [
2061,
373,
262,
1748,
329,
262,
8464,
26203,
367,
793,
441,
379,
262,
10349,
286,
872,
359,
541,
7022,
4490,
1293,
87,
10349,
30,
46506,
366,
14941,
1220,
1812,
1,
16034,
3084,
62,
33206,
3132,
33411,
366,
48056,
1,
796,
705,
27455,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
1748,
329,
262,
8464,
26203,
367,
793,
441,
379,
262,
10349,
286,
872,
359,
541,
7022,
4490,
1293,
87,
10349,
30,
46506,
366,
14941,
1220,
1812,
1,
16034,
3084,
62,
33206,
3132,
33411,
366,
48056,
1,
796,
705,
27455,
... |
Which area served coed genders at Kaharoa school and had a Decile of 9? | SELECT area FROM table_name_45 WHERE gender = "coed" AND decile = "9" AND name = "kaharoa school" | [
13828,
1989,
4983,
763,
276,
38054,
379,
38798,
12022,
64,
1524,
290,
550,
257,
4280,
576,
286,
860,
30,
46506,
1989,
16034,
3084,
62,
3672,
62,
2231,
33411,
5279,
796,
366,
1073,
276,
1,
5357,
875,
576,
796,
366,
24,
1,
5357,
1438,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
1989,
4983,
763,
276,
38054,
379,
38798,
12022,
64,
1524,
290,
550,
257,
4280,
576,
286,
860,
30,
46506,
1989,
16034,
3084,
62,
3672,
62,
2231,
33411,
5279,
796,
366,
1073,
276,
1,
5357,
875,
576,
796,
366,
24,
1,
5357,
1438,... |
How many millions of viewers watched the episode directed by Christine Moore? | SELECT "Viewers (in millions)" FROM table_25830 WHERE "Directed by" = 'Christine Moore' | [
2437,
867,
5242,
286,
10209,
7342,
262,
4471,
7924,
416,
26088,
8877,
30,
46506,
366,
7680,
364,
357,
259,
5242,
16725,
16034,
3084,
62,
25600,
1270,
33411,
366,
13470,
276,
416,
1,
796,
705,
10684,
500,
8877,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
5242,
286,
10209,
7342,
262,
4471,
7924,
416,
26088,
8877,
30,
46506,
366,
7680,
364,
357,
259,
5242,
16725,
16034,
3084,
62,
25600,
1270,
33411,
366,
13470,
276,
416,
1,
796,
705,
10684,
500,
8877,
6
] |
What is the score with lost as the result? | SELECT score FROM table_name_80 WHERE result = "lost" | [
2061,
318,
262,
4776,
351,
2626,
355,
262,
1255,
30,
46506,
4776,
16034,
3084,
62,
3672,
62,
1795,
33411,
1255,
796,
366,
33224,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
4776,
351,
2626,
355,
262,
1255,
30,
46506,
4776,
16034,
3084,
62,
3672,
62,
1795,
33411,
1255,
796,
366,
33224,
1
] |
get me the number of home health care discharged patients who were diagnosed with other abnormal blood chemistry. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.discharge_location = "HOME HEALTH CARE" AND diagnoses.long_title = "Other abnormal blood chemistry" | [
1136,
502,
262,
1271,
286,
1363,
1535,
1337,
26476,
3871,
508,
547,
14641,
351,
584,
18801,
2910,
16585,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
1136,
502,
262,
1271,
286,
1363,
1535,
1337,
26476,
3871,
508,
547,
14641,
351,
584,
18801,
2910,
16585,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
... |
count the number of people diagnosed with acute pyelonephritis. | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 'acute pyelonephritis') | [
9127,
262,
1271,
286,
661,
14641,
351,
14352,
12972,
417,
505,
746,
27398,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
5827,
13,
403,
1557,
538,
312,
8,
16034,
5827,
33411,
5827,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
136... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
9127,
262,
1271,
286,
661,
14641,
351,
14352,
12972,
417,
505,
746,
27398,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
5827,
13,
403,
1557,
538,
312,
8,
16034,
5827,
33411,
5827,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
136... |
Who directed the episode with production code ip01003? | SELECT directed_by FROM table_29273057_1 WHERE production_code = "IP01003" | [
8241,
7924,
262,
4471,
351,
3227,
2438,
20966,
486,
11245,
30,
46506,
7924,
62,
1525,
16034,
3084,
62,
1959,
1983,
1270,
3553,
62,
16,
33411,
3227,
62,
8189,
796,
366,
4061,
486,
11245,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8241,
7924,
262,
4471,
351,
3227,
2438,
20966,
486,
11245,
30,
46506,
7924,
62,
1525,
16034,
3084,
62,
1959,
1983,
1270,
3553,
62,
16,
33411,
3227,
62,
8189,
796,
366,
4061,
486,
11245,
1
] |
What is the team located at philips arena 18,227? | SELECT "Team" FROM table_72238 WHERE "Location Attendance" = 'Philips Arena 18,227' | [
2061,
318,
262,
1074,
5140,
379,
5206,
2419,
13478,
1248,
11,
24403,
30,
46506,
366,
15592,
1,
16034,
3084,
62,
22,
1828,
2548,
33411,
366,
14749,
46502,
590,
1,
796,
705,
18673,
2419,
10937,
1248,
11,
24403,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
1074,
5140,
379,
5206,
2419,
13478,
1248,
11,
24403,
30,
46506,
366,
15592,
1,
16034,
3084,
62,
22,
1828,
2548,
33411,
366,
14749,
46502,
590,
1,
796,
705,
18673,
2419,
10937,
1248,
11,
24403,
6
] |
Which Catalogno was #160 us? | SELECT "Catalogno" FROM table_36548 WHERE "Remark" = '#160 us' | [
13828,
16758,
2360,
78,
373,
1303,
14198,
514,
30,
46506,
366,
39075,
2360,
78,
1,
16034,
3084,
62,
24760,
2780,
33411,
366,
8413,
668,
1,
796,
705,
2,
14198,
514,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
16758,
2360,
78,
373,
1303,
14198,
514,
30,
46506,
366,
39075,
2360,
78,
1,
16034,
3084,
62,
24760,
2780,
33411,
366,
8413,
668,
1,
796,
705,
2,
14198,
514,
6
] |
HOW MANY TEMPERATURE INTERVALS ARE POSSIBLE TO USE WITH ACRYL? | SELECT COUNT(temp__) AS °c_ FROM table_10262329_1 WHERE adhesive_type = "Acryl" | [
37181,
17254,
56,
309,
3620,
18973,
40086,
23255,
53,
23333,
15986,
350,
18420,
34563,
5390,
23210,
13315,
7125,
18276,
43,
30,
46506,
327,
28270,
7,
29510,
834,
8,
7054,
22074,
66,
62,
16034,
3084,
62,
940,
2075,
1954,
1959,
62,
16,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
37181,
17254,
56,
309,
3620,
18973,
40086,
23255,
53,
23333,
15986,
350,
18420,
34563,
5390,
23210,
13315,
7125,
18276,
43,
30,
46506,
327,
28270,
7,
29510,
834,
8,
7054,
22074,
66,
62,
16034,
3084,
62,
940,
2075,
1954,
1959,
62,
16,
... |
What was the little league team from Kentucky when the little league team from Indiana and Wisconsin were Brownsburg LL Brownsburg and Merrill LL Merrill? | SELECT "Kentucky" FROM table_73013 WHERE "Indiana" = 'Brownsburg LL Brownsburg' AND "Wisconsin" = 'Merrill LL Merrill' | [
2061,
373,
262,
1310,
4652,
1074,
422,
11867,
618,
262,
1310,
4652,
1074,
422,
10278,
290,
9279,
547,
17671,
7423,
27140,
17671,
7423,
290,
40418,
27140,
40418,
30,
46506,
366,
42265,
5309,
1,
16034,
3084,
62,
4790,
30273,
33411,
366,
4... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
1310,
4652,
1074,
422,
11867,
618,
262,
1310,
4652,
1074,
422,
10278,
290,
9279,
547,
17671,
7423,
27140,
17671,
7423,
290,
40418,
27140,
40418,
30,
46506,
366,
42265,
5309,
1,
16034,
3084,
62,
4790,
30273,
33411,
366,
4... |
What was the original air date of an episode set in 1544? | SELECT "Original air date" FROM table_16099 WHERE "Setting" = '1544' | [
2061,
373,
262,
2656,
1633,
3128,
286,
281,
4471,
900,
287,
1315,
2598,
30,
46506,
366,
20556,
1633,
3128,
1,
16034,
3084,
62,
14198,
2079,
33411,
366,
34149,
1,
796,
705,
1314,
2598,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
2656,
1633,
3128,
286,
281,
4471,
900,
287,
1315,
2598,
30,
46506,
366,
20556,
1633,
3128,
1,
16034,
3084,
62,
14198,
2079,
33411,
366,
34149,
1,
796,
705,
1314,
2598,
6
] |
Which position was picked before 63, for Oklahoma College? | SELECT "Position" FROM table_65135 WHERE "Pick" < '63' AND "College" = 'oklahoma' | [
13828,
2292,
373,
6497,
878,
8093,
11,
329,
10433,
5535,
30,
46506,
366,
26545,
1,
16034,
3084,
62,
2996,
17059,
33411,
366,
31686,
1,
1279,
705,
5066,
6,
5357,
366,
38951,
1,
796,
705,
482,
9802,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
2292,
373,
6497,
878,
8093,
11,
329,
10433,
5535,
30,
46506,
366,
26545,
1,
16034,
3084,
62,
2996,
17059,
33411,
366,
31686,
1,
1279,
705,
5066,
6,
5357,
366,
38951,
1,
796,
705,
482,
9802,
6
] |
how many patients who were born before the year 2083 had sc drug route? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2083" AND prescriptions.route = "SC" | [
4919,
867,
3871,
508,
547,
4642,
878,
262,
614,
1160,
5999,
550,
629,
2563,
6339,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
34092,
6177,
16728,
13,
18108,
76,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
4919,
867,
3871,
508,
547,
4642,
878,
262,
614,
1160,
5999,
550,
629,
2563,
6339,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
34092,
6177,
16728,
13,
18108,
76,... |
What is Date of Appointment, when Outgoing Manager is 'Giray Bulak'? | SELECT "Date of appointment" FROM table_45756 WHERE "Outgoing manager" = 'giray bulak' | [
2061,
318,
7536,
286,
2034,
49805,
11,
618,
3806,
5146,
9142,
318,
705,
38,
343,
323,
8510,
461,
30960,
46506,
366,
10430,
286,
12557,
1,
16034,
3084,
62,
2231,
38219,
33411,
366,
7975,
5146,
4706,
1,
796,
705,
70,
343,
323,
4807,
4... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
7536,
286,
2034,
49805,
11,
618,
3806,
5146,
9142,
318,
705,
38,
343,
323,
8510,
461,
30960,
46506,
366,
10430,
286,
12557,
1,
16034,
3084,
62,
2231,
38219,
33411,
366,
7975,
5146,
4706,
1,
796,
705,
70,
343,
323,
4807,
4... |
What is latitude when 2010 population is 24 and water is more than 0.319? | SELECT MAX("Latitude") FROM table_79290 WHERE "Pop. (2010)" = '24' AND "Water (sqmi)" > '0.319' | [
2061,
318,
32477,
618,
3050,
3265,
318,
1987,
290,
1660,
318,
517,
621,
657,
13,
35175,
30,
46506,
25882,
7203,
24220,
3984,
4943,
16034,
3084,
62,
3720,
24369,
33411,
366,
16979,
13,
357,
10333,
16725,
796,
705,
1731,
6,
5357,
366,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
32477,
618,
3050,
3265,
318,
1987,
290,
1660,
318,
517,
621,
657,
13,
35175,
30,
46506,
25882,
7203,
24220,
3984,
4943,
16034,
3084,
62,
3720,
24369,
33411,
366,
16979,
13,
357,
10333,
16725,
796,
705,
1731,
6,
5357,
366,
1... |
How many of the patients with psychogenic paranoid psychosis died in or before 2179? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.dod_year <= "2179.0" AND diagnoses.long_title = "Psychogenic paranoid psychosis" | [
2437,
867,
286,
262,
3871,
351,
3795,
15147,
30285,
37926,
3724,
287,
393,
878,
362,
21738,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
16728,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
2437,
867,
286,
262,
3871,
351,
3795,
15147,
30285,
37926,
3724,
287,
393,
878,
362,
21738,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
16728,
13,
... |
give me the number of patients whose ethnicity is hispanic or latino? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "HISPANIC OR LATINO" | [
26535,
502,
262,
1271,
286,
3871,
3025,
26289,
318,
465,
35843,
393,
3042,
2879,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
38546,
414,
796,
366,
39,
1797,
47,
1565,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
26535,
502,
262,
1271,
286,
3871,
3025,
26289,
318,
465,
35843,
393,
3042,
2879,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
38546,
414,
796,
366,
39,
1797,
47,
1565,
... |
Show the price of each product supplied by supplier id 3 in a bar chart, I want to list by the Y in desc. | SELECT product_name, product_price FROM Product_Suppliers AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 3 ORDER BY product_price DESC | [
15307,
262,
2756,
286,
1123,
1720,
14275,
416,
22693,
4686,
513,
287,
257,
2318,
8262,
11,
314,
765,
284,
1351,
416,
262,
575,
287,
1715,
13,
46506,
1720,
62,
3672,
11,
1720,
62,
20888,
16034,
8721,
62,
15979,
75,
3183,
7054,
309,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
15307,
262,
2756,
286,
1123,
1720,
14275,
416,
22693,
4686,
513,
287,
257,
2318,
8262,
11,
314,
765,
284,
1351,
416,
262,
575,
287,
1715,
13,
46506,
1720,
62,
3672,
11,
1720,
62,
20888,
16034,
8721,
62,
15979,
75,
3183,
7054,
309,
1... |
what are the five most frequent laboratory tests until 2 years ago? | SELECT d_labitems.label FROM d_labitems WHERE d_labitems.itemid IN (SELECT t1.itemid FROM (SELECT labevents.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM labevents WHERE DATETIME(labevents.charttime) <= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY labevents.itemid) AS t1 WHERE t1.c1 <= 5) | [
10919,
389,
262,
1936,
749,
10792,
14010,
5254,
1566,
362,
812,
2084,
30,
46506,
288,
62,
23912,
23814,
13,
18242,
16034,
288,
62,
23912,
23814,
33411,
288,
62,
23912,
23814,
13,
9186,
312,
3268,
357,
46506,
256,
16,
13,
9186,
312,
16... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
389,
262,
1936,
749,
10792,
14010,
5254,
1566,
362,
812,
2084,
30,
46506,
288,
62,
23912,
23814,
13,
18242,
16034,
288,
62,
23912,
23814,
33411,
288,
62,
23912,
23814,
13,
9186,
312,
3268,
357,
46506,
256,
16,
13,
9186,
312,
16... |
When was the dvd release directed by Billy O'Brien? | SELECT "DVD release" FROM table_23476 WHERE "Director" = 'Billy O''Brien' | [
2215,
373,
262,
288,
20306,
2650,
7924,
416,
15890,
440,
6,
20118,
30,
46506,
366,
39218,
2650,
1,
16034,
3084,
62,
1954,
35435,
33411,
366,
28702,
1,
796,
705,
49640,
440,
7061,
20118,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2215,
373,
262,
288,
20306,
2650,
7924,
416,
15890,
440,
6,
20118,
30,
46506,
366,
39218,
2650,
1,
16034,
3084,
62,
1954,
35435,
33411,
366,
28702,
1,
796,
705,
49640,
440,
7061,
20118,
6
] |
What's in third place that's going 1-0? | SELECT 3 AS rd_place FROM table_name_39 WHERE score = "1-0" | [
2061,
338,
287,
2368,
1295,
326,
338,
1016,
352,
12,
15,
30,
46506,
513,
7054,
374,
67,
62,
5372,
16034,
3084,
62,
3672,
62,
2670,
33411,
4776,
796,
366,
16,
12,
15,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
338,
287,
2368,
1295,
326,
338,
1016,
352,
12,
15,
30,
46506,
513,
7054,
374,
67,
62,
5372,
16034,
3084,
62,
3672,
62,
2670,
33411,
4776,
796,
366,
16,
12,
15,
1
] |
Who are the Batsmen from the year 2002? | SELECT "Batsmen" FROM table_43867 WHERE "Year" = '2002' | [
8241,
389,
262,
347,
1381,
3653,
422,
262,
614,
6244,
30,
46506,
366,
33,
1381,
3653,
1,
16034,
3084,
62,
43704,
3134,
33411,
366,
17688,
1,
796,
705,
16942,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8241,
389,
262,
347,
1381,
3653,
422,
262,
614,
6244,
30,
46506,
366,
33,
1381,
3653,
1,
16034,
3084,
62,
43704,
3134,
33411,
366,
17688,
1,
796,
705,
16942,
6
] |
What is the lowest Bush#, when Bush% is '65.4%'? | SELECT MIN("Bush#") FROM table_76993 WHERE "Bush%" = '65.4%' | [
2061,
318,
262,
9016,
5511,
2,
11,
618,
5511,
4,
318,
705,
2996,
13,
19,
4,
30960,
46506,
20625,
7203,
36113,
2,
4943,
16034,
3084,
62,
4304,
44821,
33411,
366,
36113,
39658,
796,
705,
2996,
13,
19,
4,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
9016,
5511,
2,
11,
618,
5511,
4,
318,
705,
2996,
13,
19,
4,
30960,
46506,
20625,
7203,
36113,
2,
4943,
16034,
3084,
62,
4304,
44821,
33411,
366,
36113,
39658,
796,
705,
2996,
13,
19,
4,
6
] |
Give the first name and job id for all employees in the Finance department. | SELECT T1.first_name, T1.job_id FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id WHERE T2.department_name = 'Finance' | [
23318,
262,
717,
1438,
290,
1693,
4686,
329,
477,
4409,
287,
262,
15007,
5011,
13,
46506,
309,
16,
13,
11085,
62,
3672,
11,
309,
16,
13,
21858,
62,
312,
16034,
4409,
7054,
309,
16,
32357,
1268,
13346,
7054,
309,
17,
6177,
309,
16,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
23318,
262,
717,
1438,
290,
1693,
4686,
329,
477,
4409,
287,
262,
15007,
5011,
13,
46506,
309,
16,
13,
11085,
62,
3672,
11,
309,
16,
13,
21858,
62,
312,
16034,
4409,
7054,
309,
16,
32357,
1268,
13346,
7054,
309,
17,
6177,
309,
16,
... |
How many full professors work under Hartmut Kliemt with more than 0 lecturers? | SELECT COUNT("Full professors") FROM table_15811 WHERE "Head" = 'hartmut kliemt' AND "Lecturers" > '0' | [
2437,
867,
1336,
20339,
670,
739,
11345,
21973,
509,
4528,
368,
83,
351,
517,
621,
657,
11042,
17496,
30,
46506,
327,
28270,
7203,
13295,
20339,
4943,
16034,
3084,
62,
21273,
1157,
33411,
366,
13847,
1,
796,
705,
18647,
21973,
479,
4528... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
1336,
20339,
670,
739,
11345,
21973,
509,
4528,
368,
83,
351,
517,
621,
657,
11042,
17496,
30,
46506,
327,
28270,
7203,
13295,
20339,
4943,
16034,
3084,
62,
21273,
1157,
33411,
366,
13847,
1,
796,
705,
18647,
21973,
479,
4528... |
From which country is the player that won in 1998? | SELECT country FROM table_name_78 WHERE year_s__won = "1998" | [
4863,
543,
1499,
318,
262,
2137,
326,
1839,
287,
7795,
30,
46506,
1499,
16034,
3084,
62,
3672,
62,
3695,
33411,
614,
62,
82,
834,
26502,
796,
366,
21113,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
4863,
543,
1499,
318,
262,
2137,
326,
1839,
287,
7795,
30,
46506,
1499,
16034,
3084,
62,
3672,
62,
3695,
33411,
614,
62,
82,
834,
26502,
796,
366,
21113,
1
] |
Questions where several different users offered a bounty. | SELECT RANK() OVER (ORDER BY COUNT(DISTINCT bs.UserId) DESC) AS Rank, COUNT(DISTINCT bs.UserId) AS "number_of_users", COUNT(bs.Id) AS "number_of_bounties", SUM(bs.BountyAmount) AS "total_amount", p.Id AS "post_link", p.Score, p.AnswerCount, p.OwnerUserId AS "user_link", p.Tags, 'site://posts/' + CAST(p.Id AS TEXT) + '/... | [
35741,
810,
1811,
1180,
2985,
4438,
257,
24180,
13,
46506,
371,
15154,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
35,
8808,
1268,
4177,
275,
82,
13,
12982,
7390,
8,
22196,
34,
8,
7054,
10916,
11,
327,
28270,
7,
35,
8808,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
35741,
810,
1811,
1180,
2985,
4438,
257,
24180,
13,
46506,
371,
15154,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
35,
8808,
1268,
4177,
275,
82,
13,
12982,
7390,
8,
22196,
34,
8,
7054,
10916,
11,
327,
28270,
7,
35,
8808,
1... |
Return a bar chart about the distribution of meter_200 and the amount of meter_200 , and group by attribute meter_200. | SELECT meter_200, COUNT(meter_200) FROM swimmer GROUP BY meter_200 | [
13615,
257,
2318,
8262,
546,
262,
6082,
286,
16430,
62,
2167,
290,
262,
2033,
286,
16430,
62,
2167,
837,
290,
1448,
416,
11688,
16430,
62,
2167,
13,
46506,
16430,
62,
2167,
11,
327,
28270,
7,
27231,
62,
2167,
8,
16034,
9422,
647,
44... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13615,
257,
2318,
8262,
546,
262,
6082,
286,
16430,
62,
2167,
290,
262,
2033,
286,
16430,
62,
2167,
837,
290,
1448,
416,
11688,
16430,
62,
2167,
13,
46506,
16430,
62,
2167,
11,
327,
28270,
7,
27231,
62,
2167,
8,
16034,
9422,
647,
44... |
How many comments support totally dropping that and trying jQuery?. | SELECT * FROM Comments WHERE Text LIKE '%You should totally drop that and try jQuery%' | [
2437,
867,
3651,
1104,
6635,
12047,
326,
290,
2111,
37420,
30,
13,
46506,
1635,
16034,
19502,
33411,
8255,
34178,
705,
4,
1639,
815,
6635,
4268,
326,
290,
1949,
37420,
4,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
3651,
1104,
6635,
12047,
326,
290,
2111,
37420,
30,
13,
46506,
1635,
16034,
19502,
33411,
8255,
34178,
705,
4,
1639,
815,
6635,
4268,
326,
290,
1949,
37420,
4,
6
] |
What is Date, when Score is '0-2', and when Opponents is 'Bayer Leverkusen'? | SELECT date FROM table_name_4 WHERE score = "0-2" AND opponents = "bayer leverkusen" | [
2061,
318,
7536,
11,
618,
15178,
318,
705,
15,
12,
17,
3256,
290,
618,
9385,
3906,
318,
705,
33,
2794,
42365,
45614,
268,
30960,
46506,
3128,
16034,
3084,
62,
3672,
62,
19,
33411,
4776,
796,
366,
15,
12,
17,
1,
5357,
7691,
796,
36... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
7536,
11,
618,
15178,
318,
705,
15,
12,
17,
3256,
290,
618,
9385,
3906,
318,
705,
33,
2794,
42365,
45614,
268,
30960,
46506,
3128,
16034,
3084,
62,
3672,
62,
19,
33411,
4776,
796,
366,
15,
12,
17,
1,
5357,
7691,
796,
36... |
How many junctions have 'replaced by bsi-35' listed in their remarks section? | SELECT COUNT("Junctions") FROM table_72181 WHERE "Remarks" = 'Replaced by BSI-35' | [
2437,
867,
10891,
2733,
423,
705,
260,
21820,
416,
275,
13396,
12,
2327,
6,
5610,
287,
511,
10252,
2665,
30,
46506,
327,
28270,
7203,
22396,
2733,
4943,
16034,
3084,
62,
4761,
27057,
33411,
366,
8413,
5558,
1,
796,
705,
3041,
21820,
4... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
10891,
2733,
423,
705,
260,
21820,
416,
275,
13396,
12,
2327,
6,
5610,
287,
511,
10252,
2665,
30,
46506,
327,
28270,
7203,
22396,
2733,
4943,
16034,
3084,
62,
4761,
27057,
33411,
366,
8413,
5558,
1,
796,
705,
3041,
21820,
4... |
What is the average salary for each job title Show bar chart, and order by the JOB_TITLE in desc. | SELECT JOB_TITLE, AVG(SALARY) FROM employees AS T1 JOIN jobs AS T2 ON T1.JOB_ID = T2.JOB_ID GROUP BY T2.JOB_TITLE ORDER BY JOB_TITLE DESC | [
2061,
318,
262,
2811,
9588,
329,
1123,
1693,
3670,
5438,
2318,
8262,
11,
290,
1502,
416,
262,
449,
9864,
62,
49560,
2538,
287,
1715,
13,
46506,
449,
9864,
62,
49560,
2538,
11,
35224,
7,
50,
1847,
13153,
8,
16034,
4409,
7054,
309,
16... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
2061,
318,
262,
2811,
9588,
329,
1123,
1693,
3670,
5438,
2318,
8262,
11,
290,
1502,
416,
262,
449,
9864,
62,
49560,
2538,
287,
1715,
13,
46506,
449,
9864,
62,
49560,
2538,
11,
35224,
7,
50,
1847,
13153,
8,
16034,
4409,
7054,
309,
16... |
Compare how many events by different event details using a bar chart, and rank x-axis from low to high order. | SELECT Event_Details, COUNT(Event_Details) FROM Events GROUP BY Event_Details ORDER BY Event_Details | [
41488,
703,
867,
2995,
416,
1180,
1785,
3307,
1262,
257,
2318,
8262,
11,
290,
4279,
2124,
12,
22704,
422,
1877,
284,
1029,
1502,
13,
46506,
8558,
62,
24259,
11,
327,
28270,
7,
9237,
62,
24259,
8,
16034,
18715,
44441,
11050,
8558,
62,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
41488,
703,
867,
2995,
416,
1180,
1785,
3307,
1262,
257,
2318,
8262,
11,
290,
4279,
2124,
12,
22704,
422,
1877,
284,
1029,
1502,
13,
46506,
8558,
62,
24259,
11,
327,
28270,
7,
9237,
62,
24259,
8,
16034,
18715,
44441,
11050,
8558,
62,
... |
What is the English name given to the city of St. John's? | SELECT capital___exonym__ FROM table_1008653_1 WHERE capital___endonym__ = "St. John's" | [
2061,
318,
262,
3594,
1438,
1813,
284,
262,
1748,
286,
520,
13,
1757,
338,
30,
46506,
3139,
17569,
1069,
5177,
834,
16034,
3084,
62,
3064,
23,
46435,
62,
16,
33411,
3139,
17569,
437,
5177,
834,
796,
366,
1273,
13,
1757,
338,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
3594,
1438,
1813,
284,
262,
1748,
286,
520,
13,
1757,
338,
30,
46506,
3139,
17569,
1069,
5177,
834,
16034,
3084,
62,
3064,
23,
46435,
62,
16,
33411,
3139,
17569,
437,
5177,
834,
796,
366,
1273,
13,
1757,
338,
1
] |
when did patient 13440 receive the first microbiology test on their last hospital visit? | SELECT microbiologyevents.charttime FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 13440 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) ORDER BY microbiologyevents.charttime LIMIT 1 | [
12518,
750,
5827,
22352,
1821,
3328,
262,
717,
24559,
1435,
1332,
319,
511,
938,
4436,
3187,
30,
46506,
24559,
1435,
31534,
13,
40926,
2435,
16034,
24559,
1435,
31534,
33411,
24559,
1435,
31534,
13,
18108,
76,
62,
312,
3268,
357,
46506,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
12518,
750,
5827,
22352,
1821,
3328,
262,
717,
24559,
1435,
1332,
319,
511,
938,
4436,
3187,
30,
46506,
24559,
1435,
31534,
13,
40926,
2435,
16034,
24559,
1435,
31534,
33411,
24559,
1435,
31534,
13,
18108,
76,
62,
312,
3268,
357,
46506,
... |
What is the average where the swimsuit is larger than 9.437? | SELECT MAX(average) FROM table_name_24 WHERE swimsuit > 9.437 | [
2061,
318,
262,
2811,
810,
262,
9422,
6063,
318,
4025,
621,
860,
13,
43284,
30,
46506,
25882,
7,
23913,
8,
16034,
3084,
62,
3672,
62,
1731,
33411,
9422,
6063,
1875,
860,
13,
43284
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2811,
810,
262,
9422,
6063,
318,
4025,
621,
860,
13,
43284,
30,
46506,
25882,
7,
23913,
8,
16034,
3084,
62,
3672,
62,
1731,
33411,
9422,
6063,
1875,
860,
13,
43284
] |
Which Romaji Title has a TV Station of fuji tv, and Average Ratings of 12.41%? | SELECT romaji_title FROM table_name_65 WHERE tv_station = "fuji tv" AND average_ratings = "12.41%" | [
13828,
3570,
26436,
11851,
468,
257,
3195,
9327,
286,
14035,
7285,
31557,
11,
290,
13475,
36826,
286,
1105,
13,
3901,
4,
30,
46506,
9267,
26436,
62,
7839,
16034,
3084,
62,
3672,
62,
2996,
33411,
31557,
62,
17529,
796,
366,
20942,
7285,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
3570,
26436,
11851,
468,
257,
3195,
9327,
286,
14035,
7285,
31557,
11,
290,
13475,
36826,
286,
1105,
13,
3901,
4,
30,
46506,
9267,
26436,
62,
7839,
16034,
3084,
62,
3672,
62,
2996,
33411,
31557,
62,
17529,
796,
366,
20942,
7285,
... |
What is the Singapore Gross with a Producer that is 2000? | SELECT singapore_gross FROM table_name_72 WHERE producer = "2000" | [
2061,
318,
262,
12551,
21796,
351,
257,
30436,
326,
318,
4751,
30,
46506,
1702,
11656,
62,
47181,
16034,
3084,
62,
3672,
62,
4761,
33411,
9920,
796,
366,
11024,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
12551,
21796,
351,
257,
30436,
326,
318,
4751,
30,
46506,
1702,
11656,
62,
47181,
16034,
3084,
62,
3672,
62,
4761,
33411,
9920,
796,
366,
11024,
1
] |
For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about the average of manager_id over the hire_date bin hire_date by time. | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | [
1890,
883,
4409,
508,
466,
407,
670,
287,
13346,
351,
11663,
326,
423,
220,
2340,
1022,
1802,
290,
939,
11,
1577,
502,
262,
7208,
546,
262,
2811,
286,
4706,
62,
312,
625,
262,
11078,
62,
4475,
9874,
11078,
62,
4475,
416,
640,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
1890,
883,
4409,
508,
466,
407,
670,
287,
13346,
351,
11663,
326,
423,
220,
2340,
1022,
1802,
290,
939,
11,
1577,
502,
262,
7208,
546,
262,
2811,
286,
4706,
62,
312,
625,
262,
11078,
62,
4475,
9874,
11078,
62,
4475,
416,
640,
13,
... |
bob caudle was an announcer , who was the other one ? | SELECT "ring name\n(birth name)" FROM table_204_811 WHERE "ring name\n(birth name)" <> 'bob caudle' AND "inducted for" = 'announcing' | [
65,
672,
1275,
463,
293,
373,
281,
49032,
837,
508,
373,
262,
584,
530,
5633,
46506,
366,
1806,
1438,
59,
77,
7,
24280,
1438,
16725,
16034,
3084,
62,
18638,
62,
23,
1157,
33411,
366,
1806,
1438,
59,
77,
7,
24280,
1438,
16725,
1279,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
65,
672,
1275,
463,
293,
373,
281,
49032,
837,
508,
373,
262,
584,
530,
5633,
46506,
366,
1806,
1438,
59,
77,
7,
24280,
1438,
16725,
16034,
3084,
62,
18638,
62,
23,
1157,
33411,
366,
1806,
1438,
59,
77,
7,
24280,
1438,
16725,
1279,
... |
Which year has a 2011 of 1r? | SELECT 2008 FROM table_name_47 WHERE 2011 = "1r" | [
13828,
614,
468,
257,
2813,
286,
352,
81,
30,
46506,
3648,
16034,
3084,
62,
3672,
62,
2857,
33411,
2813,
796,
366,
16,
81,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
614,
468,
257,
2813,
286,
352,
81,
30,
46506,
3648,
16034,
3084,
62,
3672,
62,
2857,
33411,
2813,
796,
366,
16,
81,
1
] |
among patients that were prescribed with 1000 ml flex cont: dextrose-nacl 5-0.45 % iv soln, what were the three most frequently prescribed drugs at the same time, since 2103. | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = '1000 ml flex cont: dextrose-nacl 5-0.45 % iv soln' ... | [
35131,
3871,
326,
547,
14798,
351,
8576,
25962,
7059,
542,
25,
390,
742,
13698,
12,
77,
37779,
642,
12,
15,
13,
2231,
4064,
21628,
1540,
77,
11,
644,
547,
262,
1115,
749,
6777,
14798,
5010,
379,
262,
976,
640,
11,
1201,
362,
15197,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
35131,
3871,
326,
547,
14798,
351,
8576,
25962,
7059,
542,
25,
390,
742,
13698,
12,
77,
37779,
642,
12,
15,
13,
2231,
4064,
21628,
1540,
77,
11,
644,
547,
262,
1115,
749,
6777,
14798,
5010,
379,
262,
976,
640,
11,
1201,
362,
15197,
... |
Which event was held at Manly Beach? | SELECT "Event" FROM table_40690 WHERE "Location" = 'manly beach' | [
13828,
1785,
373,
2714,
379,
1869,
306,
8511,
30,
46506,
366,
9237,
1,
16034,
3084,
62,
1821,
35844,
33411,
366,
14749,
1,
796,
705,
805,
306,
10481,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
1785,
373,
2714,
379,
1869,
306,
8511,
30,
46506,
366,
9237,
1,
16034,
3084,
62,
1821,
35844,
33411,
366,
14749,
1,
796,
705,
805,
306,
10481,
6
] |
did patient 52598 undergo surgery the previous year? | SELECT COUNT(*) > 0 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 52598) AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | [
20839,
5827,
45719,
4089,
17777,
8185,
262,
2180,
614,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
9021,
62,
291,
67,
33411,
9021,
62,
291,
67,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
20839,
5827,
45719,
4089,
17777,
8185,
262,
2180,
614,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
9021,
62,
291,
67,
33411,
9021,
62,
291,
67,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
2... |
Who was the away team against the home team Sheffield United? | SELECT "Away team" FROM table_76354 WHERE "Home team" = 'sheffield united' | [
8241,
373,
262,
1497,
1074,
1028,
262,
1363,
1074,
33496,
1578,
30,
46506,
366,
32,
1014,
1074,
1,
16034,
3084,
62,
4304,
32182,
33411,
366,
16060,
1074,
1,
796,
705,
7091,
31374,
16503,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8241,
373,
262,
1497,
1074,
1028,
262,
1363,
1074,
33496,
1578,
30,
46506,
366,
32,
1014,
1074,
1,
16034,
3084,
62,
4304,
32182,
33411,
366,
16060,
1074,
1,
796,
705,
7091,
31374,
16503,
6
] |
Which player is from Joliet Catholic HIgh School? | SELECT player FROM table_11677691_7 WHERE school = "Joliet Catholic High school" | [
13828,
2137,
318,
422,
39329,
1155,
7835,
36210,
456,
3961,
30,
46506,
2137,
16034,
3084,
62,
1157,
40179,
49541,
62,
22,
33411,
1524,
796,
366,
41,
349,
1155,
7835,
3334,
1524,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
2137,
318,
422,
39329,
1155,
7835,
36210,
456,
3961,
30,
46506,
2137,
16034,
3084,
62,
1157,
40179,
49541,
62,
22,
33411,
1524,
796,
366,
41,
349,
1155,
7835,
3334,
1524,
1
] |
What is the highest playoffs that has tampa bay as the team? | SELECT MAX(playoffs) FROM table_name_79 WHERE teams = "tampa bay" | [
2061,
318,
262,
4511,
12980,
326,
468,
256,
13299,
15489,
355,
262,
1074,
30,
46506,
25882,
7,
1759,
8210,
8,
16034,
3084,
62,
3672,
62,
3720,
33411,
3466,
796,
366,
83,
13299,
15489,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
4511,
12980,
326,
468,
256,
13299,
15489,
355,
262,
1074,
30,
46506,
25882,
7,
1759,
8210,
8,
16034,
3084,
62,
3672,
62,
3720,
33411,
3466,
796,
366,
83,
13299,
15489,
1
] |
What is 2001, when 1987 is N/A, and when Career SR is N/A? | SELECT 2001 FROM table_name_50 WHERE 1987 = "n/a" AND career_sr = "n/a" | [
2061,
318,
5878,
11,
618,
12923,
318,
399,
14,
32,
11,
290,
618,
32619,
16808,
318,
399,
14,
32,
30,
46506,
5878,
16034,
3084,
62,
3672,
62,
1120,
33411,
12923,
796,
366,
77,
14,
64,
1,
5357,
3451,
62,
27891,
796,
366,
77,
14,
6... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
5878,
11,
618,
12923,
318,
399,
14,
32,
11,
290,
618,
32619,
16808,
318,
399,
14,
32,
30,
46506,
5878,
16034,
3084,
62,
3672,
62,
1120,
33411,
12923,
796,
366,
77,
14,
64,
1,
5357,
3451,
62,
27891,
796,
366,
77,
14,
6... |
have any microbiological tests been done for patient 031-1337 since 2 years ago? | SELECT COUNT(*) > 0 FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-1337')) AND DATETIME(microlab.culturetakentime) >= DATETIME(CURRENT_TIME()... | [
14150,
597,
24559,
2770,
5254,
587,
1760,
329,
5827,
657,
3132,
12,
1485,
2718,
1201,
362,
812,
2084,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
4580,
23912,
33411,
4580,
23912,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
58... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
14150,
597,
24559,
2770,
5254,
587,
1760,
329,
5827,
657,
3132,
12,
1485,
2718,
1201,
362,
812,
2084,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
4580,
23912,
33411,
4580,
23912,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
58... |
Which city has an ICAO of gvsf? | SELECT "CITY / TOWN" FROM table_8239 WHERE "ICAO" = 'gvsf' | [
13828,
1748,
468,
281,
314,
8141,
46,
286,
308,
14259,
69,
30,
46506,
366,
34,
9050,
1220,
309,
14165,
1,
16034,
3084,
62,
23,
23516,
33411,
366,
25241,
46,
1,
796,
705,
70,
14259,
69,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
1748,
468,
281,
314,
8141,
46,
286,
308,
14259,
69,
30,
46506,
366,
34,
9050,
1220,
309,
14165,
1,
16034,
3084,
62,
23,
23516,
33411,
366,
25241,
46,
1,
796,
705,
70,
14259,
69,
6
] |
how many countries have produced the same number of championship golfers as canada ? | SELECT COUNT("country") FROM table_204_396 WHERE "country" <> 'canada' AND "total" = (SELECT "total" FROM table_204_396 WHERE "country" = 'canada') | [
4919,
867,
2678,
423,
4635,
262,
976,
1271,
286,
12184,
13126,
364,
355,
460,
4763,
5633,
46506,
327,
28270,
7203,
19315,
4943,
16034,
3084,
62,
18638,
62,
34107,
33411,
366,
19315,
1,
1279,
29,
705,
5171,
4763,
6,
5357,
366,
23350,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
4919,
867,
2678,
423,
4635,
262,
976,
1271,
286,
12184,
13126,
364,
355,
460,
4763,
5633,
46506,
327,
28270,
7203,
19315,
4943,
16034,
3084,
62,
18638,
62,
34107,
33411,
366,
19315,
1,
1279,
29,
705,
5171,
4763,
6,
5357,
366,
23350,
1... |
What is Player, when To Par is '7', and when Score is '73-72-67-75=287'? | SELECT "Player" FROM table_49091 WHERE "To Par" = '7' AND "Score" = '73-72-67-75=287' | [
2061,
318,
7853,
11,
618,
1675,
2547,
318,
705,
22,
3256,
290,
618,
15178,
318,
705,
4790,
12,
4761,
12,
3134,
12,
2425,
28,
27800,
30960,
46506,
366,
14140,
1,
16034,
3084,
62,
2920,
2931,
16,
33411,
366,
2514,
2547,
1,
796,
705,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
7853,
11,
618,
1675,
2547,
318,
705,
22,
3256,
290,
618,
15178,
318,
705,
4790,
12,
4761,
12,
3134,
12,
2425,
28,
27800,
30960,
46506,
366,
14140,
1,
16034,
3084,
62,
2920,
2931,
16,
33411,
366,
2514,
2547,
1,
796,
705,
... |
What is the average number of caps for Meralomas with positions of centre? | SELECT AVG(caps) FROM table_name_75 WHERE club_province = "meralomas" AND position = "centre" | [
2061,
318,
262,
2811,
1271,
286,
11022,
329,
337,
1691,
16911,
351,
6116,
286,
7372,
30,
46506,
35224,
7,
27979,
8,
16034,
3084,
62,
3672,
62,
2425,
33411,
3430,
62,
15234,
924,
796,
366,
647,
282,
16911,
1,
5357,
2292,
796,
366,
10... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2811,
1271,
286,
11022,
329,
337,
1691,
16911,
351,
6116,
286,
7372,
30,
46506,
35224,
7,
27979,
8,
16034,
3084,
62,
3672,
62,
2425,
33411,
3430,
62,
15234,
924,
796,
366,
647,
282,
16911,
1,
5357,
2292,
796,
366,
10... |
What was their record when they played the stampeders? | SELECT record FROM table_21839208_4 WHERE opponent = "Stampeders" | [
2061,
373,
511,
1700,
618,
484,
2826,
262,
28305,
364,
30,
46506,
1700,
16034,
3084,
62,
28727,
2670,
21315,
62,
19,
33411,
6125,
796,
366,
1273,
13322,
364,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
511,
1700,
618,
484,
2826,
262,
28305,
364,
30,
46506,
1700,
16034,
3084,
62,
28727,
2670,
21315,
62,
19,
33411,
6125,
796,
366,
1273,
13322,
364,
1
] |
If the visiting team is Clemson, when was the time? | SELECT "Time" FROM table_29070 WHERE "Visiting team" = 'Clemson' | [
1532,
262,
10013,
1074,
318,
27801,
11,
618,
373,
262,
640,
30,
46506,
366,
7575,
1,
16034,
3084,
62,
24369,
2154,
33411,
366,
15854,
1780,
1074,
1,
796,
705,
34349,
24996,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1532,
262,
10013,
1074,
318,
27801,
11,
618,
373,
262,
640,
30,
46506,
366,
7575,
1,
16034,
3084,
62,
24369,
2154,
33411,
366,
15854,
1780,
1074,
1,
796,
705,
34349,
24996,
6
] |
What days held has noiz as the wrestler? | SELECT "Days held" FROM table_37026 WHERE "Wrestler" = 'noiz' | [
2061,
1528,
2714,
468,
645,
528,
355,
262,
34845,
30,
46506,
366,
38770,
2714,
1,
16034,
3084,
62,
20167,
2075,
33411,
366,
54,
2118,
1754,
1,
796,
705,
3919,
528,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
1528,
2714,
468,
645,
528,
355,
262,
34845,
30,
46506,
366,
38770,
2714,
1,
16034,
3084,
62,
20167,
2075,
33411,
366,
54,
2118,
1754,
1,
796,
705,
3919,
528,
6
] |
How many first tournaments were winter sports with exactly 1 division? | SELECT COUNT("1st Tournament") FROM table_30537 WHERE "Season" = 'Winter' AND "# of Divisions" = '1' | [
2437,
867,
717,
18130,
547,
7374,
5701,
351,
3446,
352,
7297,
30,
46506,
327,
28270,
7203,
16,
301,
9595,
4943,
16034,
3084,
62,
22515,
2718,
33411,
366,
18960,
1,
796,
705,
35376,
6,
5357,
25113,
286,
4777,
3279,
1,
796,
705,
16,
6... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
717,
18130,
547,
7374,
5701,
351,
3446,
352,
7297,
30,
46506,
327,
28270,
7203,
16,
301,
9595,
4943,
16034,
3084,
62,
22515,
2718,
33411,
366,
18960,
1,
796,
705,
35376,
6,
5357,
25113,
286,
4777,
3279,
1,
796,
705,
16,
6... |
Who is the Second when Michel Gribi is the lead? | SELECT "Second" FROM table_39122 WHERE "Lead" = 'michel gribi' | [
8241,
318,
262,
5498,
618,
12386,
402,
822,
72,
318,
262,
1085,
30,
46506,
366,
12211,
1,
16034,
3084,
62,
2670,
18376,
33411,
366,
20451,
1,
796,
705,
9383,
2978,
308,
822,
72,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8241,
318,
262,
5498,
618,
12386,
402,
822,
72,
318,
262,
1085,
30,
46506,
366,
12211,
1,
16034,
3084,
62,
2670,
18376,
33411,
366,
20451,
1,
796,
705,
9383,
2978,
308,
822,
72,
6
] |
The Eastern Creek Raceway circuit is on what date? | SELECT "Date" FROM table_50777 WHERE "Circuit" = 'eastern creek raceway' | [
464,
8345,
13509,
24746,
16172,
10349,
318,
319,
644,
3128,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
1120,
29331,
33411,
366,
31560,
5013,
1,
796,
705,
68,
6470,
39459,
3444,
16172,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
464,
8345,
13509,
24746,
16172,
10349,
318,
319,
644,
3128,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
1120,
29331,
33411,
366,
31560,
5013,
1,
796,
705,
68,
6470,
39459,
3444,
16172,
6
] |
Which Recopa 1994 has a Supercopa 1994 of 1st round, and a Team of argentinos juniors? | SELECT recopa_1994 FROM table_name_54 WHERE supercopa_1994 = "1st round" AND team = "argentinos juniors" | [
13828,
3311,
26186,
9162,
468,
257,
3115,
22163,
64,
9162,
286,
352,
301,
2835,
11,
290,
257,
4816,
286,
1822,
298,
11996,
10891,
12706,
30,
46506,
664,
26186,
62,
22666,
16034,
3084,
62,
3672,
62,
4051,
33411,
2208,
22163,
64,
62,
22... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
3311,
26186,
9162,
468,
257,
3115,
22163,
64,
9162,
286,
352,
301,
2835,
11,
290,
257,
4816,
286,
1822,
298,
11996,
10891,
12706,
30,
46506,
664,
26186,
62,
22666,
16034,
3084,
62,
3672,
62,
4051,
33411,
2208,
22163,
64,
62,
22... |
What is the Purpose of the Callsign with a Freq currently of 4rph? | SELECT "Purpose" FROM table_50346 WHERE "Freq currently" = '4rph' | [
2061,
318,
262,
32039,
286,
262,
4889,
12683,
351,
257,
4848,
80,
3058,
286,
604,
81,
746,
30,
46506,
366,
30026,
3455,
1,
16034,
3084,
62,
1120,
30557,
33411,
366,
20366,
80,
3058,
1,
796,
705,
19,
81,
746,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
32039,
286,
262,
4889,
12683,
351,
257,
4848,
80,
3058,
286,
604,
81,
746,
30,
46506,
366,
30026,
3455,
1,
16034,
3084,
62,
1120,
30557,
33411,
366,
20366,
80,
3058,
1,
796,
705,
19,
81,
746,
6
] |
what region is above australia ? | SELECT "region" FROM table_204_966 WHERE id = (SELECT id FROM table_204_966 WHERE "region" = 'australia') - 1 | [
10919,
3814,
318,
2029,
38132,
1373,
544,
5633,
46506,
366,
36996,
1,
16034,
3084,
62,
18638,
62,
24,
2791,
33411,
4686,
796,
357,
46506,
4686,
16034,
3084,
62,
18638,
62,
24,
2791,
33411,
366,
36996,
1,
796,
705,
64,
436,
1373,
544,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
3814,
318,
2029,
38132,
1373,
544,
5633,
46506,
366,
36996,
1,
16034,
3084,
62,
18638,
62,
24,
2791,
33411,
4686,
796,
357,
46506,
4686,
16034,
3084,
62,
18638,
62,
24,
2791,
33411,
366,
36996,
1,
796,
705,
64,
436,
1373,
544,
... |
What is the score vs. all when the score vs. Terran is 159? | SELECT "vs. all" FROM table_71405 WHERE "vs. Terran" = '159' | [
2061,
318,
262,
4776,
3691,
13,
477,
618,
262,
4776,
3691,
13,
33486,
318,
26422,
30,
46506,
366,
14259,
13,
477,
1,
16034,
3084,
62,
45722,
2713,
33411,
366,
14259,
13,
33486,
1,
796,
705,
19707,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
4776,
3691,
13,
477,
618,
262,
4776,
3691,
13,
33486,
318,
26422,
30,
46506,
366,
14259,
13,
477,
1,
16034,
3084,
62,
45722,
2713,
33411,
366,
14259,
13,
33486,
1,
796,
705,
19707,
6
] |
Name the most weight | SELECT MAX("Weight (kg)") FROM table_23771 | [
5376,
262,
749,
3463,
46506,
25882,
7203,
25844,
357,
10025,
8,
4943,
16034,
3084,
62,
1954,
46761
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
749,
3463,
46506,
25882,
7203,
25844,
357,
10025,
8,
4943,
16034,
3084,
62,
1954,
46761
] |
count the number of patients whose gender is m and insurance is medicaid? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.insurance = "Medicaid" | [
9127,
262,
1271,
286,
3871,
3025,
5279,
318,
285,
290,
5096,
318,
6924,
1698,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
8388,
796,
366,
44,
1,
5357,
16728,
13,
1040... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
9127,
262,
1271,
286,
3871,
3025,
5279,
318,
285,
290,
5096,
318,
6924,
1698,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
8388,
796,
366,
44,
1,
5357,
16728,
13,
1040... |
SELECT title, body, tags FROM POSTS WHERE title is not null and body is not null and tags is not nul. | SELECT Title, Body, Tags FROM Posts WHERE NOT Title IS NULL AND NOT Body IS NULL AND NOT Tags IS NULL AND FavoriteCount > 100 | [
46506,
3670,
11,
1767,
11,
15940,
16034,
24582,
50,
33411,
3670,
318,
407,
9242,
290,
1767,
318,
407,
9242,
290,
15940,
318,
407,
299,
377,
13,
46506,
11851,
11,
12290,
11,
44789,
16034,
12043,
33411,
5626,
11851,
3180,
15697,
5357,
562... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
46506,
3670,
11,
1767,
11,
15940,
16034,
24582,
50,
33411,
3670,
318,
407,
9242,
290,
1767,
318,
407,
9242,
290,
15940,
318,
407,
299,
377,
13,
46506,
11851,
11,
12290,
11,
44789,
16034,
12043,
33411,
5626,
11851,
3180,
15697,
5357,
562... |
What was the date of the Cross Code debut that had an Int'l Debut in the year 2008? | SELECT "Date" FROM table_65123 WHERE "Year" = '2008' | [
2061,
373,
262,
3128,
286,
262,
6372,
6127,
8886,
326,
550,
281,
2558,
6,
75,
1024,
4360,
287,
262,
614,
3648,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
2996,
10163,
33411,
366,
17688,
1,
796,
705,
11528,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
3128,
286,
262,
6372,
6127,
8886,
326,
550,
281,
2558,
6,
75,
1024,
4360,
287,
262,
614,
3648,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
2996,
10163,
33411,
366,
17688,
1,
796,
705,
11528,
6
] |
how many hours have elapsed since patient 5828's last stay in the careunit sicu during their current hospital encounter? | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', transfers.intime)) FROM transfers WHERE transfers.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 5828 AND admissions.dischtime IS NULL) AND transfers.careunit = 'sicu' ORDER BY transfers.intime DESC LIMIT 1 | [
4919,
867,
2250,
423,
42118,
1201,
5827,
7618,
2078,
338,
938,
2652,
287,
262,
1337,
20850,
264,
291,
84,
1141,
511,
1459,
4436,
8791,
30,
46506,
1987,
1635,
357,
18601,
9792,
12789,
10786,
4,
73,
3256,
327,
39237,
62,
34694,
28955,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
4919,
867,
2250,
423,
42118,
1201,
5827,
7618,
2078,
338,
938,
2652,
287,
262,
1337,
20850,
264,
291,
84,
1141,
511,
1459,
4436,
8791,
30,
46506,
1987,
1635,
357,
18601,
9792,
12789,
10786,
4,
73,
3256,
327,
39237,
62,
34694,
28955,
5... |
how many days has it been since the first time that patient 033-22108 had intake of cl flush: non-tunneled ij r on the current icu visit? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', intakeoutput.intakeoutputtime)) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid =... | [
4919,
867,
1528,
468,
340,
587,
1201,
262,
717,
640,
326,
5827,
657,
2091,
12,
1828,
15711,
550,
10337,
286,
537,
24773,
25,
1729,
12,
28286,
4954,
276,
1312,
73,
374,
319,
262,
1459,
14158,
84,
3187,
30,
46506,
352,
1635,
357,
1860... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
4919,
867,
1528,
468,
340,
587,
1201,
262,
717,
640,
326,
5827,
657,
2091,
12,
1828,
15711,
550,
10337,
286,
537,
24773,
25,
1729,
12,
28286,
4954,
276,
1312,
73,
374,
319,
262,
1459,
14158,
84,
3187,
30,
46506,
352,
1635,
357,
1860... |
What is the sum of households that makes a median household income of $44,718? | SELECT SUM(number_of_households) FROM table_name_43 WHERE median_household_income = "$44,718" | [
2061,
318,
262,
2160,
286,
12503,
326,
1838,
257,
14288,
6641,
3739,
286,
720,
2598,
11,
45720,
30,
46506,
35683,
7,
17618,
62,
1659,
62,
4803,
2946,
82,
8,
16034,
3084,
62,
3672,
62,
3559,
33411,
14288,
62,
4803,
2946,
62,
12519,
7... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2160,
286,
12503,
326,
1838,
257,
14288,
6641,
3739,
286,
720,
2598,
11,
45720,
30,
46506,
35683,
7,
17618,
62,
1659,
62,
4803,
2946,
82,
8,
16034,
3084,
62,
3672,
62,
3559,
33411,
14288,
62,
4803,
2946,
62,
12519,
7... |
show me flights from BOSTON to PHILADELPHIA on a MONDAY | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, days, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND days.day_name = 'MONDAY' AND flight.flight_days = days.days_code ... | [
12860,
502,
13956,
422,
347,
10892,
1340,
284,
9370,
4146,
2885,
3698,
11909,
3539,
319,
257,
337,
18672,
4792,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
12860,
502,
13956,
422,
347,
10892,
1340,
284,
9370,
4146,
2885,
3698,
11909,
3539,
319,
257,
337,
18672,
4792,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15... |
Find the number of professors in each office with a bar chart, could you display in descending by the bars? | SELECT PROF_OFFICE, COUNT(PROF_OFFICE) FROM PROFESSOR AS T1 JOIN EMPLOYEE AS T2 ON T1.EMP_NUM = T2.EMP_NUM GROUP BY PROF_OFFICE ORDER BY PROF_OFFICE DESC | [
16742,
262,
1271,
286,
20339,
287,
1123,
2607,
351,
257,
2318,
8262,
11,
714,
345,
3359,
287,
31491,
416,
262,
9210,
30,
46506,
4810,
19238,
62,
27977,
8476,
11,
327,
28270,
7,
4805,
19238,
62,
27977,
8476,
8,
16034,
4810,
19238,
7597... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
16742,
262,
1271,
286,
20339,
287,
1123,
2607,
351,
257,
2318,
8262,
11,
714,
345,
3359,
287,
31491,
416,
262,
9210,
30,
46506,
4810,
19238,
62,
27977,
8476,
11,
327,
28270,
7,
4805,
19238,
62,
27977,
8476,
8,
16034,
4810,
19238,
7597... |
Which Goals have Games smaller than 41, and a Player of mark amos? | SELECT MIN("Goals") FROM table_66245 WHERE "Games" < '41' AND "Player" = 'mark amos' | [
13828,
28510,
423,
5776,
4833,
621,
6073,
11,
290,
257,
7853,
286,
1317,
716,
418,
30,
46506,
20625,
7203,
5247,
874,
4943,
16034,
3084,
62,
2791,
22995,
33411,
366,
24474,
1,
1279,
705,
3901,
6,
5357,
366,
14140,
1,
796,
705,
4102,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
28510,
423,
5776,
4833,
621,
6073,
11,
290,
257,
7853,
286,
1317,
716,
418,
30,
46506,
20625,
7203,
5247,
874,
4943,
16034,
3084,
62,
2791,
22995,
33411,
366,
24474,
1,
1279,
705,
3901,
6,
5357,
366,
14140,
1,
796,
705,
4102,
... |
Show the id, the date of account opened, the account name, and other account detail for all accounts. | SELECT account_id, date_account_opened, account_name, other_account_details FROM Accounts | [
15307,
262,
4686,
11,
262,
3128,
286,
1848,
4721,
11,
262,
1848,
1438,
11,
290,
584,
1848,
3703,
329,
477,
5504,
13,
46506,
1848,
62,
312,
11,
3128,
62,
23317,
62,
26350,
11,
1848,
62,
3672,
11,
584,
62,
23317,
62,
36604,
16034,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
15307,
262,
4686,
11,
262,
3128,
286,
1848,
4721,
11,
262,
1848,
1438,
11,
290,
584,
1848,
3703,
329,
477,
5504,
13,
46506,
1848,
62,
312,
11,
3128,
62,
23317,
62,
26350,
11,
1848,
62,
3672,
11,
584,
62,
23317,
62,
36604,
16034,
3... |
Which deliver has 16 and a standing more than 128? | SELECT "Delivery" FROM table_38858 WHERE "Quantity" = '16' AND "Standing" > '128' | [
13828,
5203,
468,
1467,
290,
257,
5055,
517,
621,
13108,
30,
46506,
366,
33129,
1,
16034,
3084,
62,
30460,
3365,
33411,
366,
31208,
1,
796,
705,
1433,
6,
5357,
366,
44196,
1,
1875,
705,
12762,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
5203,
468,
1467,
290,
257,
5055,
517,
621,
13108,
30,
46506,
366,
33129,
1,
16034,
3084,
62,
30460,
3365,
33411,
366,
31208,
1,
796,
705,
1433,
6,
5357,
366,
44196,
1,
1875,
705,
12762,
6
] |
tell me the type of admission and health insurance for the patient with patient id 17595. | SELECT demographic.admission_type, demographic.insurance FROM demographic WHERE demographic.subject_id = "17595" | [
33331,
502,
262,
2099,
286,
13938,
290,
1535,
5096,
329,
262,
5827,
351,
5827,
4686,
1596,
35124,
13,
46506,
16728,
13,
324,
3411,
62,
4906,
11,
16728,
13,
1040,
3874,
16034,
16728,
33411,
16728,
13,
32796,
62,
312,
796,
366,
1558,
35... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
33331,
502,
262,
2099,
286,
13938,
290,
1535,
5096,
329,
262,
5827,
351,
5827,
4686,
1596,
35124,
13,
46506,
16728,
13,
324,
3411,
62,
4906,
11,
16728,
13,
1040,
3874,
16034,
16728,
33411,
16728,
13,
32796,
62,
312,
796,
366,
1558,
35... |
Which manager was replaced by Thomas Thomasberg? | SELECT outgoing_manager FROM table_27782699_3 WHERE replaced_by = "Thomas Thomasberg" | [
13828,
4706,
373,
6928,
416,
5658,
5658,
3900,
30,
46506,
28181,
62,
37153,
16034,
3084,
62,
1983,
3695,
2075,
2079,
62,
18,
33411,
6928,
62,
1525,
796,
366,
22405,
5658,
3900,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
4706,
373,
6928,
416,
5658,
5658,
3900,
30,
46506,
28181,
62,
37153,
16034,
3084,
62,
1983,
3695,
2075,
2079,
62,
18,
33411,
6928,
62,
1525,
796,
366,
22405,
5658,
3900,
1
] |
Show the id, the account name, and other account details for all accounts by the customer with first name 'Meaghan'. | SELECT T1.account_id, T1.date_account_opened, T1.account_name, T1.other_account_details FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = 'Meaghan' | [
15307,
262,
4686,
11,
262,
1848,
1438,
11,
290,
584,
1848,
3307,
329,
477,
5504,
416,
262,
6491,
351,
717,
1438,
705,
5308,
45109,
4458,
46506,
309,
16,
13,
23317,
62,
312,
11,
309,
16,
13,
4475,
62,
23317,
62,
26350,
11,
309,
16,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
15307,
262,
4686,
11,
262,
1848,
1438,
11,
290,
584,
1848,
3307,
329,
477,
5504,
416,
262,
6491,
351,
717,
1438,
705,
5308,
45109,
4458,
46506,
309,
16,
13,
23317,
62,
312,
11,
309,
16,
13,
4475,
62,
23317,
62,
26350,
11,
309,
16,... |
Who is every incumbent when Kentucky 2 is the district? | SELECT "Incumbent" FROM table_28911 WHERE "District" = 'Kentucky 2' | [
8241,
318,
790,
23526,
618,
11867,
362,
318,
262,
4783,
30,
46506,
366,
25517,
2178,
298,
1,
16034,
3084,
62,
27693,
1157,
33411,
366,
44857,
1,
796,
705,
42265,
5309,
362,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8241,
318,
790,
23526,
618,
11867,
362,
318,
262,
4783,
30,
46506,
366,
25517,
2178,
298,
1,
16034,
3084,
62,
27693,
1157,
33411,
366,
44857,
1,
796,
705,
42265,
5309,
362,
6
] |
What was the lowest total for Italy when the latest win is 1950? | SELECT MIN(total) FROM table_name_43 WHERE nationality = "italy" AND latest_win = 1950 | [
2061,
373,
262,
9016,
2472,
329,
8031,
618,
262,
3452,
1592,
318,
11445,
30,
46506,
20625,
7,
23350,
8,
16034,
3084,
62,
3672,
62,
3559,
33411,
29835,
796,
366,
1287,
88,
1,
5357,
3452,
62,
5404,
796,
11445
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
9016,
2472,
329,
8031,
618,
262,
3452,
1592,
318,
11445,
30,
46506,
20625,
7,
23350,
8,
16034,
3084,
62,
3672,
62,
3559,
33411,
29835,
796,
366,
1287,
88,
1,
5357,
3452,
62,
5404,
796,
11445
] |
List all FTE middle school teachers in Sunnyvale. | SELECT fte_teachers FROM table_1414743_1 WHERE school_level = "Middle" AND city = "Sunnyvale" | [
8053,
477,
376,
9328,
3504,
1524,
7799,
287,
32241,
41161,
13,
46506,
277,
660,
62,
660,
17892,
16034,
3084,
62,
1415,
20198,
3559,
62,
16,
33411,
1524,
62,
5715,
796,
366,
34621,
1,
5357,
1748,
796,
366,
16012,
3281,
41161,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8053,
477,
376,
9328,
3504,
1524,
7799,
287,
32241,
41161,
13,
46506,
277,
660,
62,
660,
17892,
16034,
3084,
62,
1415,
20198,
3559,
62,
16,
33411,
1524,
62,
5715,
796,
366,
34621,
1,
5357,
1748,
796,
366,
16012,
3281,
41161,
1
] |
when was the first time that patient 025-51835 was prescribed with dextrose 50% and lidocaine hcl 1% at the same time in 11/last year? | SELECT t1.drugstarttime FROM (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'dextrose 50%' AND patient.uniquepid = '025-51835' AND DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURR... | [
12518,
373,
262,
717,
640,
326,
5827,
657,
1495,
12,
44085,
2327,
373,
14798,
351,
390,
742,
13698,
2026,
4,
290,
19789,
420,
5718,
289,
565,
352,
4,
379,
262,
976,
640,
287,
1367,
14,
12957,
614,
30,
46506,
256,
16,
13,
30349,
96... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
12518,
373,
262,
717,
640,
326,
5827,
657,
1495,
12,
44085,
2327,
373,
14798,
351,
390,
742,
13698,
2026,
4,
290,
19789,
420,
5718,
289,
565,
352,
4,
379,
262,
976,
640,
287,
1367,
14,
12957,
614,
30,
46506,
256,
16,
13,
30349,
96... |
what is the number of patients admitted before 2123 who had percutaneous transluminal coronary angioplasty [ptca]? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2123" AND procedures.long_title = "Percutaneous transluminal coronary angioplasty [PTCA]" | [
10919,
318,
262,
1271,
286,
3871,
6848,
878,
362,
10163,
508,
550,
583,
8968,
11655,
4779,
388,
1292,
37151,
3550,
14922,
75,
7833,
685,
457,
6888,
60,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
318,
262,
1271,
286,
3871,
6848,
878,
362,
10163,
508,
550,
583,
8968,
11655,
4779,
388,
1292,
37151,
3550,
14922,
75,
7833,
685,
457,
6888,
60,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16... |
what are the four most common prescribed medications since 4 years ago? | SELECT t1.drugname FROM (SELECT medication.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM medication WHERE DATETIME(medication.drugstarttime) >= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY medication.drugname) AS t1 WHERE t1.c1 <= 4 | [
10919,
389,
262,
1440,
749,
2219,
14798,
17638,
1201,
604,
812,
2084,
30,
46506,
256,
16,
13,
30349,
3672,
16034,
357,
46506,
14103,
13,
30349,
3672,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
389,
262,
1440,
749,
2219,
14798,
17638,
1201,
604,
812,
2084,
30,
46506,
256,
16,
13,
30349,
3672,
16034,
357,
46506,
14103,
13,
30349,
3672,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
... |
A bar chart shows the distribution of Team_Name and Team_ID . | SELECT Team_Name, Team_ID FROM basketball_match | [
32,
2318,
8262,
2523,
262,
6082,
286,
4816,
62,
5376,
290,
4816,
62,
2389,
764,
46506,
4816,
62,
5376,
11,
4816,
62,
2389,
16034,
9669,
62,
15699
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
32,
2318,
8262,
2523,
262,
6082,
286,
4816,
62,
5376,
290,
4816,
62,
2389,
764,
46506,
4816,
62,
5376,
11,
4816,
62,
2389,
16034,
9669,
62,
15699
] |
Which was the district that had first elected greater than 2006 and is democratic? | SELECT district FROM table_name_51 WHERE party = "democratic" AND first_elected > 2006 | [
13828,
373,
262,
4783,
326,
550,
717,
7018,
3744,
621,
4793,
290,
318,
10518,
30,
46506,
4783,
16034,
3084,
62,
3672,
62,
4349,
33411,
2151,
796,
366,
41232,
1,
5357,
717,
62,
28604,
1875,
4793
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
373,
262,
4783,
326,
550,
717,
7018,
3744,
621,
4793,
290,
318,
10518,
30,
46506,
4783,
16034,
3084,
62,
3672,
62,
4349,
33411,
2151,
796,
366,
41232,
1,
5357,
717,
62,
28604,
1875,
4793
] |
list all flights at MKE | SELECT DISTINCT flight.flight_id FROM airport AS AIRPORT_0, airport AS AIRPORT_1, flight WHERE (flight.to_airport = AIRPORT_0.airport_code AND AIRPORT_0.airport_code = 'MKE') OR (flight.from_airport = AIRPORT_1.airport_code AND AIRPORT_1.airport_code = 'MKE') | [
4868,
477,
13956,
379,
20553,
33635,
16779,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
7054,
31600,
15490,
62,
15,
11,
9003,
7054,
31600,
15490,
62,
16,
11,
5474,
33411,
357,
22560,
13,
1462,
62,
958,
634,
796,
3160... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
4868,
477,
13956,
379,
20553,
33635,
16779,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
7054,
31600,
15490,
62,
15,
11,
9003,
7054,
31600,
15490,
62,
16,
11,
5474,
33411,
357,
22560,
13,
1462,
62,
958,
634,
796,
3160... |
How many patients of hispanic or latino ethnicity are procedured with ptca? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "HISPANIC OR LATINO" AND procedures.short_title = "PTCA" | [
2437,
867,
3871,
286,
465,
35843,
393,
3042,
2879,
26289,
389,
5131,
1522,
351,
42975,
6888,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
2437,
867,
3871,
286,
465,
35843,
393,
3042,
2879,
26289,
389,
5131,
1522,
351,
42975,
6888,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
... |
Show the number of accounts opened in each year for all accounts in a line chart, and show by the x-axis from high to low. | SELECT date_account_opened, COUNT(date_account_opened) FROM Accounts ORDER BY date_account_opened DESC | [
15307,
262,
1271,
286,
5504,
4721,
287,
1123,
614,
329,
477,
5504,
287,
257,
1627,
8262,
11,
290,
905,
416,
262,
2124,
12,
22704,
422,
1029,
284,
1877,
13,
46506,
3128,
62,
23317,
62,
26350,
11,
327,
28270,
7,
4475,
62,
23317,
62,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
15307,
262,
1271,
286,
5504,
4721,
287,
1123,
614,
329,
477,
5504,
287,
257,
1627,
8262,
11,
290,
905,
416,
262,
2124,
12,
22704,
422,
1029,
284,
1877,
13,
46506,
3128,
62,
23317,
62,
26350,
11,
327,
28270,
7,
4475,
62,
23317,
62,
... |
what is the earliest flight departing SAN FRANCISCO and arriving in OAKLAND on 11 8 | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'OAKLAND' AND date_day.day_number = 8 AND date_day.month_number = 11 AND ... | [
10919,
318,
262,
14555,
5474,
37717,
37376,
8782,
20940,
1797,
8220,
290,
14820,
287,
440,
10206,
28182,
319,
1367,
807,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
318,
262,
14555,
5474,
37717,
37376,
8782,
20940,
1797,
8220,
290,
14820,
287,
440,
10206,
28182,
319,
1367,
807,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,... |
Name the score for save of lancaster (3) | SELECT score FROM table_name_7 WHERE save = "lancaster (3)" | [
5376,
262,
4776,
329,
3613,
286,
300,
1192,
1603,
357,
18,
8,
46506,
4776,
16034,
3084,
62,
3672,
62,
22,
33411,
3613,
796,
366,
75,
1192,
1603,
357,
18,
16725
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
4776,
329,
3613,
286,
300,
1192,
1603,
357,
18,
8,
46506,
4776,
16034,
3084,
62,
3672,
62,
22,
33411,
3613,
796,
366,
75,
1192,
1603,
357,
18,
16725
] |
Give me a bar chart to show the theme and their sales of the journal which did not have any of the listed editors serving on the committee, rank in descending by the x axis. | SELECT T1.Theme, T1.Sales FROM journal EXCEPT SELECT T1.Date, T1.Theme, T1.Sales FROM journal AS T1 JOIN journal_committee AS T2 ON T1.Journal_ID = T2.Journal_ID ORDER BY T1.Theme DESC | [
23318,
502,
257,
2318,
8262,
284,
905,
262,
7505,
290,
511,
4200,
286,
262,
3989,
543,
750,
407,
423,
597,
286,
262,
5610,
15719,
7351,
319,
262,
5583,
11,
4279,
287,
31491,
416,
262,
2124,
16488,
13,
46506,
309,
16,
13,
47863,
11,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
23318,
502,
257,
2318,
8262,
284,
905,
262,
7505,
290,
511,
4200,
286,
262,
3989,
543,
750,
407,
423,
597,
286,
262,
5610,
15719,
7351,
319,
262,
5583,
11,
4279,
287,
31491,
416,
262,
2124,
16488,
13,
46506,
309,
16,
13,
47863,
11,
... |
calculate the difference between patient 8016's total output and the total input on last month/23. | SELECT (SELECT SUM(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 8016)) AND DATETIME(inputevents_cv.charttime, 'start of month') = DATETIME(CURRENT... | [
9948,
3129,
378,
262,
3580,
1022,
5827,
807,
27037,
338,
2472,
5072,
290,
262,
2472,
5128,
319,
938,
1227,
14,
1954,
13,
46506,
357,
46506,
35683,
7,
259,
79,
1133,
85,
658,
62,
33967,
13,
17287,
8,
16034,
287,
79,
1133,
85,
658,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
9948,
3129,
378,
262,
3580,
1022,
5827,
807,
27037,
338,
2472,
5072,
290,
262,
2472,
5128,
319,
938,
1227,
14,
1954,
13,
46506,
357,
46506,
35683,
7,
259,
79,
1133,
85,
658,
62,
33967,
13,
17287,
8,
16034,
287,
79,
1133,
85,
658,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.