task_id int64 0 1.03k | db_id stringclasses 13
values | prompt stringlengths 485 3.74k | solution stringlengths 20 1.32k | top_k_progression stringlengths 1.29k 63.4k |
|---|---|---|---|---|
0 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT COUNT(*) FROM singer; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120COUNT", "prob": 0.87359}, {"token": "\u0120DISTINCT", "prob": 0.05822}, {"token": "\u... |
1 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT COUNT(*) FROM singer; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120COUNT", "prob": 0.88895}, {"token": "\u0120count", "prob": 0.05722}, {"token": "\u012... |
2 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT s.Name, s.Country, s.Age
FROM Singer s
ORDER BY s.Age DESC; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120Name", "prob": 0.46426}, {"token": "\u0120s", "prob": 0.26637}, {"token": "\u0120S", ... |
3 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT s.Name, s.Country, s.Age FROM singer s ORDER BY s.Age DESC; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120s", "prob": 0.50704}, {"token": "\u0120Name", "prob": 0.17892}, {"token": "\u0120\u01... |
4 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT
-- Average age
AVG(age) AS avg_age,
-- Minimum age
MIN(age) AS min_age,
-- Maximum age
MAX(age) AS max_age
FROM
singer
WHERE
country = 'France'; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120\u010a", "prob": 0.41934}, {"token": "\u0120AVG", "prob": 0.2579}, {"token": "\u010a"... |
5 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT
SELECT AVG(`Age`), MIN(`Age`), MAX(`Age`)
FROM `singer`
WHERE `Country` = 'France'; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120AVG", "prob": 0.41793}, {"token": "\u0120\u010a", "prob": 0.31656}, {"token": "\u010a... |
6 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT
s.Name AS Song_Name,
s.Song_release_year
FROM
singer s
JOIN
singer_in_concert sic ON s.Singer_ID = sic.Singer_ID
JOIN
concert c ON sic.concert_ID = c.concert_ID
WHERE
s.Age = (SELECT MAX(s2.Age) FROM singer s2);
SELECT
s.Name AS Song_Name,
s.Song_release_year
FROM
sing... | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120s", "prob": 0.87661}, {"token": "\u0120\u010a", "prob": 0.04129}, {"token": "\u0120DI... |
7 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT DISTINCT s.Name, s.Song_release_year
FROM singer s
JOIN (
SELECT Singer_ID
FROM singer
ORDER BY Age
LIMIT 1
) AS youngest_singer ON s.Singer_ID = youngest_singer.Singer_ID; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120s", "prob": 0.78851}, {"token": "\u0120DISTINCT", "prob": 0.10165}, {"token": "\u0120... |
8 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT DISTINCT Country FROM singer WHERE Age > 20; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120DISTINCT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"... |
9 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT DISTINCT c.country FROM singer c WHERE c.age > 20; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120DISTINCT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"... |
10 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT c.Country, COUNT(s.Singer_ID) FROM singer s JOIN concert_in_singer c ON s.Singer_ID = c.Singer_ID GROUP BY c.Country; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120Country", "prob": 0.41907}, {"token": "\u0120\u010a", "prob": 0.14283}, {"token": "\u... |
11 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT
`Country`,
COUNT(`Singer_ID`) AS `Num_Singers`
FROM
`singer`
GROUP BY
`Country`;
SELECT
`Country`,
COUNT(`Singer_ID`) AS `Num_Singers`
FROM
`singer`
GROUP BY
`Country`; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120Country", "prob": 0.22504}, {"token": "\u0120\u010a", "prob": 0.19586}, {"token": "\u... |
12 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT s.Song_Name
FROM singer s
WHERE s.Age > (SELECT AVG(Age) FROM singer); | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120s", "prob": 0.60765}, {"token": "\u0120DISTINCT", "prob": 0.33674}, {"token": "\u0120... |
13 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT s.Song_Name
FROM singer s
WHERE s.Age > (SELECT AVG(Age) FROM singer); | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120DISTINCT", "prob": 0.70906}, {"token": "\u0120s", "prob": 0.27767}, {"token": "\u0120... |
14 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT DISTINCT S.Location, S.Name
FROM Stadium S
WHERE S.Capacity BETWEEN 5000 AND 10000; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120DISTINCT", "prob": 0.21513}, {"token": "\u0120\u010a", "prob": 0.18723}, {"token": "\... |
15 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT DISTINCT "Location", "Name"
FROM "stadium"
WHERE "Capacity" BETWEEN 5000 AND 10000;
SELECT DISTINCT "Location", "Name"
FROM "stadium"
WHERE "Capacity" BETWEEN 5000 AND 10000; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120\"", "prob": 0.33621}, {"token": "\u0120Location", "prob": 0.24598}, {"token": "\u012... |
16 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT MAX(Capacity), AVG(Capacity) FROM stadium; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120MAX", "prob": 0.60439}, {"token": "\u0120\u010a", "prob": 0.14556}, {"token": "\u0120... |
17 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT AVG(Capacity), MAX(Capacity)
FROM stadium; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120AVG", "prob": 0.89819}, {"token": "\u0120avg", "prob": 0.04086}, {"token": "\u0120\u0... |
18 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT Name, Capacity FROM stadium ORDER BY Average DESC LIMIT 1; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120Name", "prob": 0.7435}, {"token": "\u0120s", "prob": 0.10637}, {"token": "\u0120\"", ... |
19 | concert_singer | Given the SQL schema:
PRAGMA foreign_keys = ON;
CREATE TABLE "stadium" (
"Stadium_ID" int,
"Location" text,
"Name" text,
"Capacity" int,
"Highest" int,
"Lowest" int,
"Average" int,
PRIMARY KEY ("Stadium_ID")
);
CREATE TABLE "singer" (
"Singer_ID" int,
"Name" text,
"Country" text,
"Song_Name" text,
"Song_release_ye... | SELECT Name, Capacity FROM stadium WHERE Average = (SELECT MAX(Average) FROM stadium); | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120Name", "prob": 0.71512}, {"token": "\u0120s", "prob": 0.12601}, {"token": "\u0120\"",... |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 25