task_id int64 2.46k 3.4k | db_id stringclasses 14
values | prompt stringlengths 652 4.26k | solution stringlengths 23 1.28k | top_k_progression stringlengths 1.21k 62.4k |
|---|---|---|---|---|
2,462 | movie_1 | Given the SQL schema:
-- dbext:type=SQLITE:dbname=movie_rating.db
/* Delete the tables if they already exist */
drop table if exists Movie;
drop table if exists Reviewer;
drop table if exists Rating;
/* Create the schema for our tables */
create table Movie(
mID int primary key,
title text,
year int,
director ... | SELECT AVG(Rating.stars), Movie.title
FROM Rating
JOIN Movie ON Rating.mID = Movie.mID
WHERE Movie.year = (SELECT MIN(year) FROM Movie) | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120AVG", "prob": 0.83027}, {"token": "\u0120m", "prob": 0.08051}, {"token": "\u0120avg",... |
2,463 | movie_1 | Given the SQL schema:
-- dbext:type=SQLITE:dbname=movie_rating.db
/* Delete the tables if they already exist */
drop table if exists Movie;
drop table if exists Reviewer;
drop table if exists Rating;
/* Create the schema for our tables */
create table Movie(
mID int primary key,
title text,
year int,
director ... | SELECT AVG(stars), title FROM Movie WHERE year = (SELECT MIN(year) FROM Movie) GROUP BY title; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120AVG", "prob": 0.69086}, {"token": "\u0120m", "prob": 0.22429}, {"token": "\u0120avg",... |
2,464 | movie_1 | Given the SQL schema:
-- dbext:type=SQLITE:dbname=movie_rating.db
/* Delete the tables if they already exist */
drop table if exists Movie;
drop table if exists Reviewer;
drop table if exists Rating;
/* Create the schema for our tables */
create table Movie(
mID int primary key,
title text,
year int,
director ... | SELECT title FROM Movie ORDER BY year DESC LIMIT 1; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120title", "prob": 0.69698}, {"token": "\u0120name", "prob": 0.26731}, {"token": "\u0120... |
2,465 | movie_1 | Given the SQL schema:
-- dbext:type=SQLITE:dbname=movie_rating.db
/* Delete the tables if they already exist */
drop table if exists Movie;
drop table if exists Reviewer;
drop table if exists Rating;
/* Create the schema for our tables */
create table Movie(
mID int primary key,
title text,
year int,
director ... | SELECT title FROM Movie ORDER BY year DESC LIMIT 1; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120title", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"tok... |
2,466 | movie_1 | Given the SQL schema:
-- dbext:type=SQLITE:dbname=movie_rating.db
/* Delete the tables if they already exist */
drop table if exists Movie;
drop table if exists Reviewer;
drop table if exists Rating;
/* Create the schema for our tables */
create table Movie(
mID int primary key,
title text,
year int,
director ... | SELECT MAX(stars), year FROM Movie ORDER BY year DESC LIMIT 1;
SELECT MAX(stars), year FROM Movie ORDER BY year DESC LIMIT 1; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120MAX", "prob": 0.95956}, {"token": "\u0120max", "prob": 0.04044}, {"token": "#", "prob... |
2,467 | movie_1 | Given the SQL schema:
-- dbext:type=SQLITE:dbname=movie_rating.db
/* Delete the tables if they already exist */
drop table if exists Movie;
drop table if exists Reviewer;
drop table if exists Rating;
/* Create the schema for our tables */
create table Movie(
mID int primary key,
title text,
year int,
director ... | SELECT MAX(stars), year FROM Movie ORDER BY year DESC LIMIT 1; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120MAX", "prob": 0.90433}, {"token": "\u0120max", "prob": 0.0683}, {"token": "\u0120\u01... |
2,468 | movie_1 | Given the SQL schema:
-- dbext:type=SQLITE:dbname=movie_rating.db
/* Delete the tables if they already exist */
drop table if exists Movie;
drop table if exists Reviewer;
drop table if exists Rating;
/* Create the schema for our tables */
create table Movie(
mID int primary key,
title text,
year int,
director ... | SELECT title FROM Movie WHERE year > (SELECT MAX(year) FROM Movie WHERE director = 'Steven Spielberg'); | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120title", "prob": 0.64679}, {"token": "\u0120name", "prob": 0.29305}, {"token": "\u0120... |
2,469 | movie_1 | Given the SQL schema:
-- dbext:type=SQLITE:dbname=movie_rating.db
/* Delete the tables if they already exist */
drop table if exists Movie;
drop table if exists Reviewer;
drop table if exists Rating;
/* Create the schema for our tables */
create table Movie(
mID int primary key,
title text,
year int,
director ... | SELECT title FROM Movie WHERE year > (SELECT year FROM Movie WHERE director = 'Steven Spielberg' ORDER BY year DESC LIMIT 1); | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120title", "prob": 0.68739}, {"token": "\u0120name", "prob": 0.23266}, {"token": "\u0120... |
2,470 | movie_1 | Given the SQL schema:
-- dbext:type=SQLITE:dbname=movie_rating.db
/* Delete the tables if they already exist */
drop table if exists Movie;
drop table if exists Reviewer;
drop table if exists Rating;
/* Create the schema for our tables */
create table Movie(
mID int primary key,
title text,
year int,
director ... | SELECT title, director FROM Movie WHERE stars > (SELECT AVG(stars) FROM Rating WHERE mID IN (SELECT mID FROM Movie WHERE director = 'James Cameron')) | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120title", "prob": 0.975}, {"token": "\u0120m", "prob": 0.01786}, {"token": "\u0120M", "... |
2,471 | movie_1 | Given the SQL schema:
-- dbext:type=SQLITE:dbname=movie_rating.db
/* Delete the tables if they already exist */
drop table if exists Movie;
drop table if exists Reviewer;
drop table if exists Rating;
/* Create the schema for our tables */
create table Movie(
mID int primary key,
title text,
year int,
director ... | SELECT M.title, M.director FROM Movie M, Rating R WHERE M.mID = R.mID AND R.stars > (SELECT AVG(R2.stars) FROM Rating R2, Movie M2 WHERE M2.director = 'James Cameron' AND R2.mID = M2.mID);
Explanation:
The SQL query first calculates the average rating for all movies directed by James Cameron using a subquery. Then, it... | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120title", "prob": 0.90713}, {"token": "\u0120m", "prob": 0.06851}, {"token": "\u0120M",... |
2,472 | movie_1 | Given the SQL schema:
-- dbext:type=SQLITE:dbname=movie_rating.db
/* Delete the tables if they already exist */
drop table if exists Movie;
drop table if exists Reviewer;
drop table if exists Rating;
/* Create the schema for our tables */
create table Movie(
mID int primary key,
title text,
year int,
director ... | SELECT r.name, m.title, r.stars, r.ratingDate
FROM Reviewer r
JOIN Rating rat ON r.rID = rat.rID
JOIN Movie m ON rat.mID = m.mID
ORDER BY r.name, m.title, r.stars; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120Review", "prob": 0.58999}, {"token": "\u0120r", "prob": 0.34324}, {"token": "\u0120\u... |
2,473 | movie_1 | Given the SQL schema:
-- dbext:type=SQLITE:dbname=movie_rating.db
/* Delete the tables if they already exist */
drop table if exists Movie;
drop table if exists Reviewer;
drop table if exists Rating;
/* Create the schema for our tables */
create table Movie(
mID int primary key,
title text,
year int,
director ... | SELECT
Reviewer.name AS reviewer_name,
Movie.title AS film_title,
Rating.stars AS movie_rating,
Rating.ratingDate AS rating_date
FROM
Rating
JOIN
Reviewer ON Rating.rID = Reviewer.rID
JOIN
Movie ON Rating.mID = Movie.mID
ORDER BY
Reviewer.name, Movie.title, Rating.stars; | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120Review", "prob": 0.66541}, {"token": "\u0120r", "prob": 0.21603}, {"token": "\u0120\u... |
2,474 | movie_1 | Given the SQL schema:
-- dbext:type=SQLITE:dbname=movie_rating.db
/* Delete the tables if they already exist */
drop table if exists Movie;
drop table if exists Reviewer;
drop table if exists Rating;
/* Create the schema for our tables */
create table Movie(
mID int primary key,
title text,
year int,
director ... | SELECT name FROM Reviewer WHERE rID IN (
SELECT rID FROM Rating GROUP BY rID HAVING COUNT(*) >= 3
); | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120name", "prob": 0.97794}, {"token": "\u0120DISTINCT", "prob": 0.02206}, {"token": "#",... |
2,475 | movie_1 | Given the SQL schema:
-- dbext:type=SQLITE:dbname=movie_rating.db
/* Delete the tables if they already exist */
drop table if exists Movie;
drop table if exists Reviewer;
drop table if exists Rating;
/* Create the schema for our tables */
create table Movie(
mID int primary key,
title text,
year int,
director ... | SELECT name FROM Reviewer WHERE rID IN (SELECT rID FROM Rating GROUP BY rID HAVING COUNT(mID) >= 3) | {"step_0": {"top_k": [{"token": "SELECT", "prob": 1.0}, {"token": "#", "prob": 0.0}, {"token": "!", "prob": 0.0}, {"token": "$", "prob": 0.0}, {"token": "\"", "prob": 0.0}], "pred_entropy": -0.0}, "step_1": {"top_k": [{"token": "\u0120name", "prob": 0.88271}, {"token": "\u0120DISTINCT", "prob": 0.10112}, {"token": "\u0... |
2,476 | movie_1 | Given the SQL schema:
-- dbext:type=SQLITE:dbname=movie_rating.db
/* Delete the tables if they already exist */
drop table if exists Movie;
drop table if exists Reviewer;
drop table if exists Rating;
/* Create the schema for our tables */
create table Movie(
mID int primary key,
title text,
year int,
director ... | SELECT name FROM Reviewer WHERE rID IN (SELECT rID FROM Rating WHERE mID = (SELECT mID FROM Movie WHERE title = 'Gone with the Wind')); | {"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": 0.94823}, {"token": "\u0120DISTINCT", "prob": 0.02634}, {"token": "\u0... |
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