data_source stringclasses 1
value | agent_name stringclasses 1
value | prompt listlengths 2 2 | ability stringclasses 1
value | reward_model dict | extra_info dict |
|---|---|---|---|---|---|
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"16172"
],
"style": "rule"
} | {
"answer": [
"16172"
],
"id": "wikisql-54182",
"question": "Which area (km 2) is the lowest among the list of Roman Catholic dioceses in Albania which type is Apostolic Administration?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Shkodër–Pult"
],
"style": "rule"
} | {
"answer": [
"Shkodër–Pult"
],
"id": "wikisql-54183",
"question": "Which ecclesiastical province has a type of diocese and a Latin name alexiensis in the list of Roman Catholic dioceses in Albania?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Johannesburg , South Africa"
],
"style": "rule"
} | {
"answer": [
"Johannesburg , South Africa"
],
"id": "wikisql-54197",
"question": "What is the venue of the 5/5/2001 contest under Shaun Bartlett?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1998-06-24"
],
"style": "rule"
} | {
"answer": [
"1998-06-24"
],
"id": "wikisql-54198",
"question": "What is the date of the Fifa World Cup with a score of 1-0 for Shaun Bartlett?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"L 20–14"
],
"style": "rule"
} | {
"answer": [
"L 20–14"
],
"id": "wikisql-54199",
"question": "What was the result of the game against the Miami Dolphins played at Riverfront Stadium during the 1987 Cincinnati Bengals season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Riverfront Stadium"
],
"style": "rule"
} | {
"answer": [
"Riverfront Stadium"
],
"id": "wikisql-54200",
"question": "What was the setting for the Cincinnati Bengals vs. Houston Oilers game of the 1987 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"L 20–14"
],
"style": "rule"
} | {
"answer": [
"L 20–14"
],
"id": "wikisql-54201",
"question": "What was the result of the game at Riverfront Stadium after Week 8 for the Cincinnati Bengals 1987 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2007 AFC Asian Cup qualification"
],
"style": "rule"
} | {
"answer": [
"2007 AFC Asian Cup qualification"
],
"id": "wikisql-54204",
"question": "What competition between Ra'fat Ali took place on October 11, 2006?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2–0"
],
"style": "rule"
} | {
"answer": [
"2–0"
],
"id": "wikisql-54205",
"question": "What was the result of the friendly game in Amman on February 14, 2006 for Ra'fat Ali?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Amman"
],
"style": "rule"
} | {
"answer": [
"Amman"
],
"id": "wikisql-54206",
"question": "Where did Ra'fat Ali play on August 17, 1999?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1996 CONCACAF Gold Cup"
],
"style": "rule"
} | {
"answer": [
"1996 CONCACAF Gold Cup"
],
"id": "wikisql-54251",
"question": "What is competition under Luis García Postigo when the date is \"January 11, 1996\" and the venue is \"San Diego, United States\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2–0"
],
"style": "rule"
} | {
"answer": [
"2–0"
],
"id": "wikisql-54252",
"question": "What is the result if the venue is Riyadh, Saudi Arabia and if the result is 'win' for Luis García Postigo?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Win"
],
"style": "rule"
} | {
"answer": [
"Win"
],
"id": "wikisql-54253",
"question": "What is the result for Luis García Postigo if the date is \"11. June 1994” and the venue is “Miami, United States”?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Riyadh , Saudi Arabia",
"Riyadh, Saudi Arabia"
],
"style": "rule"
} | {
"answer": [
"Riyadh , Saudi Arabia",
"Riyadh, Saudi Arabia"
],
"id": "wikisql-54254",
"question": "What is venue if the date is \"January 6, 1995\" at Luis García Postigo?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-54256",
"question": "What is the total PLD for team Arsenal in Argentina Primera División 2006-07?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-54257",
"question": "What is the overall ratio of 158 points in 2006-07 and less than 52 points in 2006-07 in the 2006-07 Argentina Primera División?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-54258",
"question": "What is the average overall PLD with 45 points in 2005-06 and more than 52 points in 2006-07 in the 2006-07 Argentine Primera División?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-54259",
"question": "What is the total score for an overall PLD of less than 38 for Argentina Primera División 2006-07?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-54265",
"question": "How many draws did Dan Carter have when he had 1 penalty and 20+ conversions?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-54266",
"question": "What's the lowest number of penalties he's received while his total points surpassed 1419 in 98+ games for Dan Carter?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"30"
],
"style": "rule"
} | {
"answer": [
"30"
],
"id": "wikisql-54267",
"question": "How many deaths does Tenerife North Airport show for the Lockheed L-1049g?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"49.0"
],
"style": "rule"
} | {
"answer": [
"49.0"
],
"id": "wikisql-54268",
"question": "How many people are on board the Iberia Airlines Lockheed L-1049G aircraft from Tenerife North Airport?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"32.0"
],
"style": "rule"
} | {
"answer": [
"32.0"
],
"id": "wikisql-54269",
"question": "How many deaths are there at Tenerife North Airport for the airline spantax with a registration of ec-arz ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"John Emmett Carland"
],
"style": "rule"
} | {
"answer": [
"John Emmett Carland"
],
"id": "wikisql-54281",
"question": "Among the United States commercial courts, who was the judge for the State of SD?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1998 (71st)"
],
"style": "rule"
} | {
"answer": [
"1998 (71st)"
],
"id": "wikisql-54289",
"question": "List of Filipino entries for Best Foreign Language Film Oscar, which year was not nominated, and In the Navel of the Sea was the film title used in the nomination?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gil Portes"
],
"style": "rule"
} | {
"answer": [
"Gil Portes"
],
"id": "wikisql-54290",
"question": "From the list of Filipino entries for the Oscar for Best Foreign Language Film, who was the director of Small Voices, a film title used in the nomination?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lino Brocka"
],
"style": "rule"
} | {
"answer": [
"Lino Brocka"
],
"id": "wikisql-54291",
"question": "Which director then had not nominated and had Bayan Ko: Kapit Sa Patalim as the original title for the list of Filipino entries for the Oscar for Best Foreign Language Film?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1976 (49th)"
],
"style": "rule"
} | {
"answer": [
"1976 (49th)"
],
"id": "wikisql-54292",
"question": "The Oscar for Best Foreign Language Film is one of the most popular films in the Philippines.",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"England"
],
"style": "rule"
} | {
"answer": [
"England"
],
"id": "wikisql-54307",
"question": "What nationality was the winner of the Fukuoka Marathon on December 8, 1968?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"December 1, 1996"
],
"style": "rule"
} | {
"answer": [
"December 1, 1996"
],
"id": "wikisql-54308",
"question": "On what date did Lee Bong-Ju win the Fukuoka Marathon in 2:10:48?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"December 4, 1994"
],
"style": "rule"
} | {
"answer": [
"December 4, 1994"
],
"id": "wikisql-54309",
"question": "On what date was the 48th edition of the Fukuoka Marathon held?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Japan"
],
"style": "rule"
} | {
"answer": [
"Japan"
],
"id": "wikisql-54310",
"question": "What nationality was the winner of the 42nd edition of the Fukuoka Marathon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"New Zealand"
],
"style": "rule"
} | {
"answer": [
"New Zealand"
],
"id": "wikisql-54311",
"question": "What nationality was the winner of the 20th Fukuoka Marathon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jerome Drayton"
],
"style": "rule"
} | {
"answer": [
"Jerome Drayton"
],
"id": "wikisql-54312",
"question": "Who was the winner of the 23rd edition of the Fukuoka Marathon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"BBC Sport"
],
"style": "rule"
} | {
"answer": [
"BBC Sport"
],
"id": "wikisql-54313",
"question": "Who reported the 1 September 2001–02 match in Scottish football?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"BBC Sport"
],
"style": "rule"
} | {
"answer": [
"BBC Sport"
],
"id": "wikisql-54314",
"question": "Who reported the 6 October 2001–02 game in Scottish football?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mongkok Stadium , Hong Kong (N)"
],
"style": "rule"
} | {
"answer": [
"Mongkok Stadium , Hong Kong (N)"
],
"id": "wikisql-54315",
"question": "Where was the game played in Scottish football on 20 May 2001/02?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0–0"
],
"style": "rule"
} | {
"answer": [
"0–0"
],
"id": "wikisql-54316",
"question": "What was the result of the game on 1 September 2001/02 in Scottish football?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"France"
],
"style": "rule"
} | {
"answer": [
"France"
],
"id": "wikisql-54317",
"question": "Which country is the Ed Remaster Double-12\" (500 copies) format in A Gate Through Bloodstained Mirrors?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2004"
],
"style": "rule"
} | {
"answer": [
"2004"
],
"id": "wikisql-54318",
"question": "Under A Gate Through Bloodstained Mirrors, what is the date of Total Holocaust Records in ed Remaster cassette format?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sweden"
],
"style": "rule"
} | {
"answer": [
"Sweden"
],
"id": "wikisql-54319",
"question": "Which country has the catalog number under thr-048 in 2004 under A Gate Through Bloodstained Mirrors?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"France"
],
"style": "rule"
} | {
"answer": [
"France"
],
"id": "wikisql-54320",
"question": "In which country is the Debemur Morti prod. Label from A Gate Through Bloodstained Mirrors ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-54321",
"question": "How much Peak Position has total sales greater than 1,540,088 for Best Fiction?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1540088"
],
"style": "rule"
} | {
"answer": [
"1540088"
],
"id": "wikisql-54322",
"question": "What is the total sales of a chart of Oricon's monthly albums under Best Fiction?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Oricon Daily Albums Chart",
"Oricon Weekly Albums Chart",
"Oricon Monthly Albums Chart"
],
"style": "rule"
} | {
"answer": [
"Oricon Daily Albums Chart",
"Oricon Weekly Albums Chart",
"Oricon Monthly Albums Chart"
],
"id": "wikisql-54323",
"question": "Which chart among Best Fiction has a top position of 1?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"39–16–7"
],
"style": "rule"
} | {
"answer": [
"39–16–7"
],
"id": "wikisql-54330",
"question": "What is the 26th February record for the Chicago Black Hawks 1971-72 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"36–13–5"
],
"style": "rule"
} | {
"answer": [
"36–13–5"
],
"id": "wikisql-54331",
"question": "What is the record from the Chicago Black Hawks' February 10, 1971-72 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0-3"
],
"style": "rule"
} | {
"answer": [
"0-3"
],
"id": "wikisql-54332",
"question": "What is the score for the Chicago Black Hawks home game against the Visiting Vancouver Canucks on November 17, 1971-72?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1837"
],
"style": "rule"
} | {
"answer": [
"1837"
],
"id": "wikisql-54343",
"question": "Which choice among Wells (constituency of the British Parliament) has Richard Blakemore as 1st Member and William Goodenough Hayter as 2nd Member?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Whig"
],
"style": "rule"
} | {
"answer": [
"Whig"
],
"id": "wikisql-54344",
"question": "What is 2nd Member William Goodenough Hayter's 2nd party when 1st Member is Hedworth Hylton Jolliffe under Wells?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Liberal"
],
"style": "rule"
} | {
"answer": [
"Liberal"
],
"id": "wikisql-54345",
"question": "In Wells (UK Parliament constituency) what is second Member Arthur Divertt Hayter's party if the first party is Conservative?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Robert Charles Tudway"
],
"style": "rule"
} | {
"answer": [
"Robert Charles Tudway"
],
"id": "wikisql-54346",
"question": "Who is the Conservative 1st Member of the 1852 election under Wells (constituency of the British Parliament)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-54347",
"question": "For Barry Sanders, which yards have Carries under 23 and a team from At Chi and an average under 8.5?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"at MIN"
],
"style": "rule"
} | {
"answer": [
"at MIN"
],
"id": "wikisql-54348",
"question": "Under Barry Sanders, which team has 19 carries and a week greater than 13?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-54349",
"question": "What average has yards greater than 167 and a team of at tb and a week greater than 7 under Barry Sanders?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"L 35–7"
],
"style": "rule"
} | {
"answer": [
"L 35–7"
],
"id": "wikisql-54350",
"question": "What was the result of the 2002 Cincinnati Bengals game with a crowd of 57,234?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"73358"
],
"style": "rule"
} | {
"answer": [
"73358"
],
"id": "wikisql-54351",
"question": "How many people attended the 2002 Cincinnati Bengals season game with a cbs 1:00 p.m. kick-off time, a week before 8, on September 15, 2002?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"CBS 1:00pm"
],
"style": "rule"
} | {
"answer": [
"CBS 1:00pm"
],
"id": "wikisql-54352",
"question": "What is the kick-off time for the week 17 game for the 2002 Cincinnati Bengals season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1.0"
],
"style": "rule"
} | {
"answer": [
"1.0"
],
"id": "wikisql-54353",
"question": "In what week was the San Diego Chargers opponent of the 2002 season the Cincinnati Bengals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-54354",
"question": "What week was the start time of the 2002 Cincinnati Bengals season at 1:00 p.m. with 60,473 in attendance?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"CBS 1:00pm"
],
"style": "rule"
} | {
"answer": [
"CBS 1:00pm"
],
"id": "wikisql-54355",
"question": "What is the kick off time for the 2002 Cincinnati Bengals season on November 10, 2002?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-54378",
"question": "What is the smallest gold number by a country in 6th place with 2 bronzes in tennis at the 1995 Summer Universiade?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-54379",
"question": "What is the rank of the country with more than 2 medals and 2 gold medals in tennis at the 1995 Summer Universiade?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-54380",
"question": "How many total medals does a country with more than one silver medal in tennis at the 1995 Summer Universiade have?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"17"
],
"style": "rule"
} | {
"answer": [
"17"
],
"id": "wikisql-54385",
"question": "Name the Rank of Rank Mountain Peak of Crested Butte Pb under Elk Mountains (Colorado)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0537.362 = 1,763feet 537m"
],
"style": "rule"
} | {
"answer": [
"0537.362 = 1,763feet 537m"
],
"id": "wikisql-54386",
"question": "Name the prominence of the mountain peak of the incomparable mountain pb among the Elk Mountains (Colorado)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4.0"
],
"style": "rule"
} | {
"answer": [
"4.0"
],
"id": "wikisql-54391",
"question": "How many weeks is a yellow team winning team and a win or lose event at the Disney Channel Games 2008?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2.0"
],
"style": "rule"
} | {
"answer": [
"2.0"
],
"id": "wikisql-54392",
"question": "Which week of the 2008 Disney Channel Games has an air date of August 2, 2008?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5.0"
],
"style": "rule"
} | {
"answer": [
"5.0"
],
"id": "wikisql-54393",
"question": "What week has an air date of August 30, 2008 on Disney Channel Games 2008?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5 extra points and a Chariot Ride"
],
"style": "rule"
} | {
"answer": [
"5 extra points and a Chariot Ride"
],
"id": "wikisql-54394",
"question": "Which winning club will have a 4.5 week week of Disney Channel Games 2008?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Game Room"
],
"style": "rule"
} | {
"answer": [
"Game Room"
],
"id": "wikisql-54395",
"question": "Which Winners Club will have a Hang Tight event under the 2008 Disney Channel Games?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"I`m a Celebrity... Get Me out of Here!"
],
"style": "rule"
} | {
"answer": [
"I`m a Celebrity... Get Me out of Here!"
],
"id": "wikisql-54399",
"question": "What was the last show played on American television after 2002 and 2009 on ABC?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"November"
],
"style": "rule"
} | {
"answer": [
"November"
],
"id": "wikisql-54400",
"question": "When did the 2009 Soul Train Music Awards return to American TV?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"August"
],
"style": "rule"
} | {
"answer": [
"August"
],
"id": "wikisql-54401",
"question": "When did a show that last aired in 2002 return to American television from 2009?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-54402",
"question": "How much played in Argentina's Primera División in 1991–92 had an average less than 0.9390000000000001 and 1990–91 a score of 28?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-54404",
"question": "In Argentina Primera División 1991-92, how much average does a 1989-90 of 36 and a team from Talleres de Cordoba and a game less than 114 have?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Said elMarouk"
],
"style": "rule"
} | {
"answer": [
"Said elMarouk"
],
"id": "wikisql-54410",
"question": "Who is the director titled Mindally Nseek and won videography under Nancy Ajram?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Murex D`or"
],
"style": "rule"
} | {
"answer": [
"Murex D`or"
],
"id": "wikisql-54411",
"question": "Which survey of Nancy Ajram's videographs is titled Ehsas Jdeed?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Shakhbat Shakhabit",
"Min Dally Nseek"
],
"style": "rule"
} | {
"answer": [
"Shakhbat Shakhabit",
"Min Dally Nseek"
],
"id": "wikisql-54412",
"question": "What is the title for the Murex D'or poll of Nancy Ajram's post 2005 videography, Said Elmarouk as director and nominated?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Won",
"Nominated"
],
"style": "rule"
} | {
"answer": [
"Won",
"Nominated"
],
"id": "wikisql-54413",
"question": "What is the result for director Said Elmarouk before 2008 in Nancy Ajram videography?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1,998cc"
],
"style": "rule"
} | {
"answer": [
"1,998cc"
],
"id": "wikisql-54495",
"question": "What is the capacity of the code f4r on Dacia Duster?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"K9K 896",
"K9K 898"
],
"style": "rule"
} | {
"answer": [
"K9K 896",
"K9K 898"
],
"id": "wikisql-54496",
"question": "What is the code for the Dacia Duster 1.5 dci 110 with a displacement of 1,461 cc?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-54513",
"question": "Which engine has a model of sl500 and a year of manufacture greater than 1999 under Mercedes-Benz R129?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-54514",
"question": "Which engine has a model of sl500 and chassis less than 129.067 under Mercedes-Benz R129?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-54515",
"question": "How many Mercedes-Benz R129 engines have a model of sl600 and a year of manufacture from 1994 and a year of manufacture up to less than 1995?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-54516",
"question": "Which year to has an engine of 119.972 and a chassis less than 129.067 under Mercedes-Benz R129?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Josh Hamilton"
],
"style": "rule"
} | {
"answer": [
"Josh Hamilton"
],
"id": "wikisql-54530",
"question": "Which player has a subtotal greater than 3 and greater than 8 in round 1 of the 2008 Major League Baseball Home Run Derby?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikisql-54531",
"question": "What is the 1927 US Open (golf) ranking for the United States when the money is $200?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"T7"
],
"style": "rule"
} | {
"answer": [
"T7"
],
"id": "wikisql-54532",
"question": "What is the ranking when Archie Compston is the player and the money is $73 for US Open 1927 (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"United States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-54533",
"question": "Which country has a To Par less than 19 and a score of 75-79-77-73=304 for the 1927 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"73-78-80-77=308"
],
"style": "rule"
} | {
"answer": [
"73-78-80-77=308"
],
"id": "wikisql-54534",
"question": "If Harry Hampton is the player and the money is $73 for US Open 1927 (golf), what is the result for the United States?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"18"
],
"style": "rule"
} | {
"answer": [
"18"
],
"id": "wikisql-54540",
"question": "What is the pre 1978 US box office with a US billboard of 35 under Eric Carmen?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Cannes"
],
"style": "rule"
} | {
"answer": [
"Cannes"
],
"id": "wikisql-54562",
"question": "Which circuit has a winning Bugatti designer and a winning Edward Bret driver in the 1929 Grand Prix season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lasarte"
],
"style": "rule"
} | {
"answer": [
"Lasarte"
],
"id": "wikisql-54563",
"question": "Which racetrack has a date of July 25th in the 1929 Grand Prix season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"23 June"
],
"style": "rule"
} | {
"answer": [
"23 June"
],
"id": "wikisql-54564",
"question": "What date has a Thuin Circuit name for the 1929 Grand Prix season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"San Sebastián Grand Prix"
],
"style": "rule"
} | {
"answer": [
"San Sebastián Grand Prix"
],
"id": "wikisql-54565",
"question": "What is the name of a winning Bugatti designer and a winning Louis Chiron driver in the 1929 Grand Prix season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gastone Brilli-Peri"
],
"style": "rule"
} | {
"answer": [
"Gastone Brilli-Peri"
],
"id": "wikisql-54566",
"question": "Which winning driver got the Mugello Circuit name in the 1929 Grand Prix season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gastone Brilli-Peri",
"Gastone Brilli-Peri"
],
"style": "rule"
} | {
"answer": [
"Gastone Brilli-Peri",
"Gastone Brilli-Peri"
],
"id": "wikisql-54567",
"question": "Which winning driver in the 1929 Grand Prix season has a winning Talbot Constructor?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"84"
],
"style": "rule"
} | {
"answer": [
"84"
],
"id": "wikisql-54579",
"question": "What is the lowest pick for the 1996 Ohio State Buckeyes football team that has Arizona Cardinals as its NFL club?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikisql-54580",
"question": "Which round has fewer than 189 picks, with the Arizona Cardinals as the NFL club for the 1996 Ohio State Buckeyes Football Team?",
"split": "train"
} |
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