task_id int64 0 1.03k | db_id stringclasses 13
values | prompt stringlengths 485 3.74k | solution stringlengths 11 1.47k | top_k_progression stringlengths 1k 98k |
|---|---|---|---|---|
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": 0.79274}, {"token": "```", "prob": 0.04009}, {"token": "To", "prob": 0.03947}, {"token": "select", "prob": 0.02888}, {"token": "Answer", "prob": 0.01546}], "pred_entropy": 1.52179}, "step_1": {"top_k": [{"token": "\u0120COUNT", "prob": 0.53727}, {"token": "\u0120count",... |
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 <SQL Query Here>;
To find the total number of singers, you can use the `COUNT` function along with the primary key of the `singer` table. The primary key is `Singer_ID`, which uniquely identifies each singer. Therefore, you can count the number of rows in the `singer` table to get the total number of singers.
... | {"step_0": {"top_k": [{"token": "SELECT", "prob": 0.78563}, {"token": "```", "prob": 0.04868}, {"token": "To", "prob": 0.03243}, {"token": "select", "prob": 0.03192}, {"token": "Answer", "prob": 0.02194}], "pred_entropy": 1.55153}, "step_1": {"top_k": [{"token": "\u0120COUNT", "prob": 0.55605}, {"token": "\u0120count",... |
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": 0.7786}, {"token": "```", "prob": 0.07709}, {"token": "To", "prob": 0.02926}, {"token": "select", "prob": 0.02503}, {"token": "Select", "prob": 0.01319}], "pred_entropy": 1.54051}, "step_1": {"top_k": [{"token": "\u0120Name", "prob": 0.34648}, {"token": "\u0120s", "prob... |
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
`Name`,`Country`,`Age`
FROM `singer`
ORDER BY `Age` DESC; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 0.78625}, {"token": "```", "prob": 0.10153}, {"token": "select", "prob": 0.02095}, {"token": "To", "prob": 0.01684}, {"token": "Select", "prob": 0.01291}], "pred_entropy": 1.39649}, "step_1": {"top_k": [{"token": "\u0120Name", "prob": 0.22783}, {"token": "\u0120s", "pro... |
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
AVG("Age") AS Average_Age,
MIN("Age") AS Minimum_Age,
MAX("Age") AS Maximum_Age
FROM
"singer"
WHERE
"Country" = 'France'; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 0.75835}, {"token": "```", "prob": 0.09057}, {"token": "select", "prob": 0.02595}, {"token": "--", "prob": 0.02326}, {"token": "Answer", "prob": 0.01574}], "pred_entropy": 1.6389}, "step_1": {"top_k": [{"token": "\u0120\u010a", "prob": 0.23784}, {"token": "\u010a", "pro... |
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... | ```sql
SELECT AVG("Age") AS average_age, MIN("Age") AS minimum_age, MAX("Age") AS maximum_age
FROM "singer"
WHERE "Country" = 'France';
``` | {"step_0": {"top_k": [{"token": "SELECT", "prob": 0.79045}, {"token": "```", "prob": 0.07352}, {"token": "select", "prob": 0.03212}, {"token": "--", "prob": 0.0183}, {"token": "Answer", "prob": 0.01403}], "pred_entropy": 1.47442}, "step_1": {"top_k": [{"token": "sql", "prob": 0.9855}, {"token": "SQL", "prob": 0.0145}, ... |
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, s.Song_name, c.Song_release_year FROM singer s ORDER BY s.Age LIMIT 1; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 0.78716}, {"token": "```", "prob": 0.09401}, {"token": "select", "prob": 0.02867}, {"token": "To", "prob": 0.0257}, {"token": "Select", "prob": 0.01195}], "pred_entropy": 1.37502}, "step_1": {"top_k": [{"token": "\u0120s", "prob": 0.55718}, {"token": "\u0120\u010a", "pr... |
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 s.Name, s.Song_release_year
FROM singer s
INNER JOIN singer_in_concert sc ON s.Singer_ID = sc.Singer_ID
INNER JOIN concert c ON sc.concert_ID = c.concert_ID
WHERE s.Age = (SELECT MIN(Age) FROM singer);
SELECT s.Name, s.Song_release_year
FROM singer s
INNER JOIN singer_in_concert sc ON s.Singer_ID = sc.Singer_ID
... | {"step_0": {"top_k": [{"token": "SELECT", "prob": 0.82056}, {"token": "```", "prob": 0.08383}, {"token": "select", "prob": 0.03898}, {"token": "Select", "prob": 0.01049}, {"token": "--", "prob": 0.0094}], "pred_entropy": 1.15632}, "step_1": {"top_k": [{"token": "\u0120s", "prob": 0.46124}, {"token": "\u0120\u010a", "pr... |
8 | concert_singer | "Given the SQL schema:\nPRAGMA foreign_keys = ON;\n\n\nCREATE TABLE \"stadium\" (\n\"Stadium_ID\" in(...TRUNCATED) | "SELECT DISTINCT Country FROM singer WHERE Age > 20;\nSELECT DISTINCT Country FROM singer WHERE Age (...TRUNCATED) | "{\"step_0\": {\"top_k\": [{\"token\": \"SELECT\", \"prob\": 0.8083}, {\"token\": \"```\", \"prob\":(...TRUNCATED) |
9 | concert_singer | "Given the SQL schema:\nPRAGMA foreign_keys = ON;\n\n\nCREATE TABLE \"stadium\" (\n\"Stadium_ID\" in(...TRUNCATED) | SELECT DISTINCT S.Country
FROM singer S
WHERE S.Age > 20; | "{\"step_0\": {\"top_k\": [{\"token\": \"SELECT\", \"prob\": 0.81915}, {\"token\": \"select\", \"pro(...TRUNCATED) |
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