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": [
"553"
],
"style": "rule"
} | {
"answer": [
"553"
],
"id": "wikisql-18590",
"question": "What is the attendance of the game with FC Central Chugoku as the home team in the first round of Emperor's Cup 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": [
"Mitsubishi Motors Mizushima F.C."
],
"style": "rule"
} | {
"answer": [
"Mitsubishi Motors Mizushima F.C."
],
"id": "wikisql-18591",
"question": "What is the match 9 away team for the 2006 Emperor's Cup first round?",
"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": [
"1-2"
],
"style": "rule"
} | {
"answer": [
"1-2"
],
"id": "wikisql-18592",
"question": "What is the score of the 15th game of the 2006 Emperor's Cup first round?",
"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": [
"519"
],
"style": "rule"
} | {
"answer": [
"519"
],
"id": "wikisql-18594",
"question": "What is the attendance for the first round of the 2006 Emperor's Cup with Rosso Kumamoto away?",
"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": [
"Peta Wilson"
],
"style": "rule"
} | {
"answer": [
"Peta Wilson"
],
"id": "wikisql-18602",
"question": "Which cover model has a 20 questions from Christina Applegate among the 2004 list of people in Playboy 2000-2009?",
"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": [
"4-04"
],
"style": "rule"
} | {
"answer": [
"4-04"
],
"id": "wikisql-18603",
"question": "When is a centerfold model of Krista Kelly in the list of people in Playboy 2000-09 of 2004?",
"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": [
"William Petersen"
],
"style": "rule"
} | {
"answer": [
"William Petersen"
],
"id": "wikisql-18604",
"question": "Among the list of people in Playboy 2000-09's List of 2004, what 20 questions does a Renata Mero cover model, Torrie Wilson (two alternate covers) 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": [
"Sandra Hubby"
],
"style": "rule"
} | {
"answer": [
"Sandra Hubby"
],
"id": "wikisql-18605",
"question": "What is the name of the model under the list of people in Playboy 2000-09 if the centerfold model is 2004-04-03-04?",
"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": [
"Amy Acuff"
],
"style": "rule"
} | {
"answer": [
"Amy Acuff"
],
"id": "wikisql-18606",
"question": "What cover model does a centerfold model of Scarlett Keegan have under the list of characters in Playboy 2000-09 2004?",
"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": [
"8-04"
],
"style": "rule"
} | {
"answer": [
"8-04"
],
"id": "wikisql-18607",
"question": "When is there a centerfold model of Pilar lastra from the playboy list of characters 2000-09, 2004?",
"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": [
"37"
],
"style": "rule"
} | {
"answer": [
"37"
],
"id": "wikisql-18608",
"question": "What is the lowest team(s) with tvmk as top scorer(s) and Flora as champion among the Meisterniliiga champions and top scorers?",
"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": [
"Levadia"
],
"style": "rule"
} | {
"answer": [
"Levadia"
],
"id": "wikisql-18609",
"question": "Which runners-up of the Meistriliiga has Narva Trans as the 3rd place champions and top scorers of the 2005 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": [
"TVMK"
],
"style": "rule"
} | {
"answer": [
"TVMK"
],
"id": "wikisql-18611",
"question": "Which Meistriliiga is the runner-up and top scorer for Levadia as 3rd place team(s) 37 ?",
"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": [
"1st"
],
"style": "rule"
} | {
"answer": [
"1st"
],
"id": "wikisql-18612",
"question": "What round did Club Brugge win against Lyon in the 1976 UEFA Cup final?",
"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": [
"1–1 (a)"
],
"style": "rule"
} | {
"answer": [
"1–1 (a)"
],
"id": "wikisql-18613",
"question": "Who won the first leg of the 1976 UEFA Cup Final which has a semi-final round against Club Brugge?",
"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 – 2 / 1 – 0 Aggregate 2 – 2"
],
"style": "rule"
} | {
"answer": [
"1 – 2 / 1 – 0 Aggregate 2 – 2"
],
"id": "wikisql-18622",
"question": "What was the winning record of the CONCACAF Champions League final era when the losing semi-finalist was Toluca Unam?",
"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 30, 2008"
],
"style": "rule"
} | {
"answer": [
"November 30, 2008"
],
"id": "wikisql-18630",
"question": "What was the air date for episodes with ratings below 10.1 and a production number of 96 5-09 for Desperate Housewives's 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": [
"12.293"
],
"style": "rule"
} | {
"answer": [
"12.293"
],
"id": "wikisql-18631",
"question": "What was the lowest number of viewers for Desperate Housewives (season 5) episode production number 109 5-22 in 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-18633",
"question": "How many airlines have a total distance of 705 km among the world's busiest passenger flight routes by aircraft movements?",
"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-18634",
"question": "What is the result of the first leg if Team 1 Gambia is in the first round of the African Youth Championship 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": [
"3 - 3"
],
"style": "rule"
} | {
"answer": [
"3 - 3"
],
"id": "wikisql-18635",
"question": "If Team 2 Morocco is in the first round of the 2009 African Youth Championship, what is the result of the second leg?",
"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": [
"Angelo Torres"
],
"style": "rule"
} | {
"answer": [
"Angelo Torres"
],
"id": "wikisql-18644",
"question": "What is the artist among the list of 1970s TV show parodies by Mad with a date being June 1979?",
"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": [
"Lou Silverstone Dick DeBartolo"
],
"style": "rule"
} | {
"answer": [
"Lou Silverstone Dick DeBartolo"
],
"id": "wikisql-18645",
"question": "What is the author with an actual title that is Mork & Mindy among the 1970s lists of TV show parody in Mad?",
"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": [
"Lou Silverstone"
],
"style": "rule"
} | {
"answer": [
"Lou Silverstone"
],
"id": "wikisql-18646",
"question": "What is the author with a date that is January 1975 in the list of TV show parodies in Mads 1970s?",
"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": [
"Salisbury School ( CT )"
],
"style": "rule"
} | {
"answer": [
"Salisbury School ( CT )"
],
"id": "wikisql-18666",
"question": "What is the school with a pick that is 24th among the first round picks of the 2008 Major League Baseball Draft?",
"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": [
"Toronto Blue Jays"
],
"style": "rule"
} | {
"answer": [
"Toronto Blue Jays"
],
"id": "wikisql-18667",
"question": "What is the 2008 Major League Baseball Draft team's first round pick with a player named David Cooper?",
"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": [
"Kammerer & Sidor"
],
"style": "rule"
} | {
"answer": [
"Kammerer & Sidor"
],
"id": "wikisql-18674",
"question": "From 2002 Paleontology's Non-mammalian, what are authors, when is Novelty Gen Nov, when is the location South Africa and when is the name Criocephalosaurus?",
"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": [
"Valid"
],
"style": "rule"
} | {
"answer": [
"Valid"
],
"id": "wikisql-18675",
"question": "What is the status if Russia is below 2002 in non-mammal paleontology?",
"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": [
"Modesto, Rubidge, & Welman"
],
"style": "rule"
} | {
"answer": [
"Modesto, Rubidge, & Welman"
],
"id": "wikisql-18676",
"question": "Under 2002 in paleontology, what are the authors of the non-mammals when novelty is Gen Et Sp Nov and when name is Lanthanocephalus?",
"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": [
"Criocephalosaurus"
],
"style": "rule"
} | {
"answer": [
"Criocephalosaurus"
],
"id": "wikisql-18677",
"question": "What is the name if authors are Kammerer & Sidor in relation to 2002 in non-mammalian paleontology?",
"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": [
"Titanogorgon"
],
"style": "rule"
} | {
"answer": [
"Titanogorgon"
],
"id": "wikisql-18678",
"question": "What is the year 2002 called in paleontology if the location is Tanzania and if the novelty is Gen Novs non-mammal?",
"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": [
"Ruhuhucerberus"
],
"style": "rule"
} | {
"answer": [
"Ruhuhucerberus"
],
"id": "wikisql-18679",
"question": "What is the valid name in 2002 paleontology when status is nonmammalian, when authors is mash, when location is tanzania, and when novelty is gen et sp nov?",
"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": [
"Johor PG"
],
"style": "rule"
} | {
"answer": [
"Johor PG"
],
"id": "wikisql-18724",
"question": "Who was the opponent in Pasir Gudang, Malaysia in Geylang United FC's 2008 pre-season friendlies with a game greater than 2?",
"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": [
"Police S.A.",
"Katong F.C."
],
"style": "rule"
} | {
"answer": [
"Police S.A.",
"Katong F.C."
],
"id": "wikisql-18725",
"question": "What was the Geylang United FC pre-season friendlies opponent for the 2008 season in the game that was under 3?",
"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": [
"Bedok Stadium"
],
"style": "rule"
} | {
"answer": [
"Bedok Stadium"
],
"id": "wikisql-18726",
"question": "Where was the game when Police SA were opponents in Geylang United FC's pre-season friendlies of the 2008 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"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-18732",
"question": "How many listing numbers are in Oldham's Platting Road, Lydgate among the Greater Manchester listed buildings?",
"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": [
"Church"
],
"style": "rule"
} | {
"answer": [
"Church"
],
"id": "wikisql-18733",
"question": "What type has listing number 1356677 among listed buildings in Greater Manchester's Oldham?",
"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": [
"1848"
],
"style": "rule"
} | {
"answer": [
"1848"
],
"id": "wikisql-18734",
"question": "What is the completion date of church entry number 1068071 among listed buildings in Oldham, Greater Manchester?",
"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": [
"Bannon"
],
"style": "rule"
} | {
"answer": [
"Bannon"
],
"id": "wikisql-18735",
"question": "Who scored the goals in the Neuchâtel xamax game played by Dundee United FC on 10 December 1985 as part of the 1985/86 UEFA Cup?",
"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": [
"6 November 1985"
],
"style": "rule"
} | {
"answer": [
"6 November 1985"
],
"id": "wikisql-18736",
"question": "What date was the game played in which Hegarty was the goalscorer for Dundee United FC in the 1985/86 UEFA Cup 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": [
"no",
"no"
],
"style": "rule"
} | {
"answer": [
"no",
"no"
],
"id": "wikisql-18740",
"question": "On TV in Italy What is HDTV Type Music Content Channel in Other's Others?",
"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": [
"Italy",
"Italy"
],
"style": "rule"
} | {
"answer": [
"Italy",
"Italy"
],
"id": "wikisql-18742",
"question": "What is the content of Others?",
"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": [
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy"
],
"style": "rule"
} | {
"answer": [
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy",
"Italy"
],
"id": "wikisql-18743",
"question": "What country content is TV Locale under Television in Italy's Oth... |
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-18748",
"question": "What is the wins with a top 25 of 3 and a top 5 greater than 1 for Kenny Perry summary?",
"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": [
"Masters Tournament"
],
"style": "rule"
} | {
"answer": [
"Masters Tournament"
],
"id": "wikisql-18750",
"question": "Which tournament has a cut less than 9 and an event of 10 for Kenny Perry's summary?",
"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": [
"Midwest"
],
"style": "rule"
} | {
"answer": [
"Midwest"
],
"id": "wikisql-18758",
"question": "In which region did the University of Colorado host the first and second rounds of the 1995 NCAA Women's Division I Basketball Tournament?",
"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 Diego"
],
"style": "rule"
} | {
"answer": [
"San Diego"
],
"id": "wikisql-18759",
"question": "In what city is the Peterson Gym located for the first and second rounds of the 1995 NCAA Women's Division I Basketball Tournament?",
"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": [
"Tennessee"
],
"style": "rule"
} | {
"answer": [
"Tennessee"
],
"id": "wikisql-18760",
"question": "Which Middle Eastern state will host the University of Tennessee after the first and second rounds of the 1995 NCAA Women's Division I basketball tournament?",
"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": [
"Charlottesville"
],
"style": "rule"
} | {
"answer": [
"Charlottesville"
],
"id": "wikisql-18761",
"question": "In what city will University Hall (University of Virginia) in the Eastern Region be held for the first and second rounds of the 1995 NCAA Women's Division I Basketball Tournament?",
"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": [
"Maples Pavilion"
],
"style": "rule"
} | {
"answer": [
"Maples Pavilion"
],
"id": "wikisql-18762",
"question": "What is the venue for the first and second rounds of the 1995 NCAA Women's Division I Basketball Tournament at Stanford University?",
"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": [
"Hec Edmundson Pavilion"
],
"style": "rule"
} | {
"answer": [
"Hec Edmundson Pavilion"
],
"id": "wikisql-18763",
"question": "What will be the venue for the first and second rounds of the 1995 NCAA Women's Division I Basketball Tournament in Seattle?",
"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": [
"Italian"
],
"style": "rule"
} | {
"answer": [
"Italian"
],
"id": "wikisql-18776",
"question": "What is the language if the content is Monoscopio, among the Italian television services for Sky Italia customers?",
"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": [
"21–25"
],
"style": "rule"
} | {
"answer": [
"21–25"
],
"id": "wikisql-18782",
"question": "What was the result of Tournament 1 in Volleyball at the Olympic Summer Games 2004 - Men's Qualifying Set 3 with a time of 15:04?",
"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": [
"2–3"
],
"style": "rule"
} | {
"answer": [
"2–3"
],
"id": "wikisql-18783",
"question": "What was the point total in 4 Tournament 1 2004 Summer Olympics - Men's Qualifiers Volleyball Points Total when the set 3 score was 29-27?",
"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": [
"26–24",
"25–13"
],
"style": "rule"
} | {
"answer": [
"26–24",
"25–13"
],
"id": "wikisql-18784",
"question": "What was the result of Tournament 1 for Set 2 for Volleyball at the 2004 Summer Olympics - Men's Qualifications when Set 3 was 25-22?",
"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-18785",
"question": "What was the aggregate score when Set 1 at the 2004 Summer Olympics - Men's Qualifications - Tournament 1 in Volleyball was 23-25?",
"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": [
"Marquette"
],
"style": "rule"
} | {
"answer": [
"Marquette"
],
"id": "wikisql-18786",
"question": "Which school/club team did Amal McCaskill play for on the Orlando Magic all-time M-roster?",
"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": [
"Florida"
],
"style": "rule"
} | {
"answer": [
"Florida"
],
"id": "wikisql-18787",
"question": "Which school/club team did Mike Miller play for on the Orlando Magic All-Time M-roster?",
"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": [
"Terence Morris"
],
"style": "rule"
} | {
"answer": [
"Terence Morris"
],
"id": "wikisql-18788",
"question": "who is the player who played for the maryland school/club team in the orlando magic all-time m roster?",
"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-18789",
"question": "What is the nationality of Cuttino Mobley on the Orlando Magic All-Time M Roster?",
"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": [
"Guard-Forward"
],
"style": "rule"
} | {
"answer": [
"Guard-Forward"
],
"id": "wikisql-18790",
"question": "Corey Maggette of the United States plays what position on the Orlando Magic all-time M roster?",
"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": [
"Marquette"
],
"style": "rule"
} | {
"answer": [
"Marquette"
],
"id": "wikisql-18791",
"question": "Amal McCaskill of Orlando Magic's M, who plays forward center, played for which school/club team?",
"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": [
"Ivana Abramovic Maria Abramovic"
],
"style": "rule"
} | {
"answer": [
"Ivana Abramovic Maria Abramovic"
],
"id": "wikisql-18795",
"question": "What is the opponent from the final with a tournament being Puebla under Betina Jozami's ITF Doubles 27 15 12?",
"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": [
"religione"
],
"style": "rule"
} | {
"answer": [
"religione"
],
"id": "wikisql-18807",
"question": "What is the content of the TV service ewtn in the UK under TV in Italy among religious?",
"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": [
"no ( FTA )",
"no ( FTA )",
"no ( FTA )",
"no ( FTA )"
],
"style": "rule"
} | {
"answer": [
"no ( FTA )",
"no ( FTA )",
"no ( FTA )",
"no ( FTA )"
],
"id": "wikisql-18808",
"question": "What is the TV package/option for Italy if the language is Italian religious?",
"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": [
"no ( FTA )",
"no ( FTA )",
"no ( FTA )",
"no ( FTA )",
"no ( FTA )"
],
"style": "rule"
} | {
"answer": [
"no ( FTA )",
"no ( FTA )",
"no ( FTA )",
"no ( FTA )",
"no ( FTA )"
],
"id": "wikisql-18809",
"question": "From the list of TV in Italy religious package/option if the content is religion?",
"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": [
"Telepace",
"Padre Pio TV",
"TBNE",
"TRSP"
],
"style": "rule"
} | {
"answer": [
"Telepace",
"Padre Pio TV",
"TBNE",
"TRSP"
],
"id": "wikisql-18810",
"question": "Which TV station in Italy has Italian as the \"religious\" language?",
"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": [
"no"
],
"style": "rule"
} | {
"answer": [
"no"
],
"id": "wikisql-18811",
"question": "Does the TV network offer daystar HDTV on TV for religious in Italy?",
"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": [
"Carpet"
],
"style": "rule"
} | {
"answer": [
"Carpet"
],
"id": "wikisql-18818",
"question": "What was the surface where opponent Nathalie Dechy Miles Tu was for Patty Schnyder's Winner (5) Match?",
"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": [
"Hobart , Australia"
],
"style": "rule"
} | {
"answer": [
"Hobart , Australia"
],
"id": "wikisql-18821",
"question": "Which tournament has a date of January 10, 1994 among Linda Wild's doubles titles 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": [
"Lori McNeil Nathalie Tauziat"
],
"style": "rule"
} | {
"answer": [
"Lori McNeil Nathalie Tauziat"
],
"id": "wikisql-18822",
"question": "Which opponents in the finals have a date of June 10, 1996 for Linda Wild in doubles (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": [
"Lori McNeil Nathalie Tauziat"
],
"style": "rule"
} | {
"answer": [
"Lori McNeil Nathalie Tauziat"
],
"id": "wikisql-18823",
"question": "Who is the opponent in the final of Linda Wild with a date of June 10, 1996 Doubles titles (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": [
"Prague , Czech Republic"
],
"style": "rule"
} | {
"answer": [
"Prague , Czech Republic"
],
"id": "wikisql-18824",
"question": "Which tournament has opponents in doubles titles final (5) Maria Lindstrom Maria Strandlund under Linda Wild ?",
"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-18828",
"question": "What is the total number of losses if the percentage is 54.83 with more than 8 points in the 2008 OAFL season leaderboard?",
"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-18829",
"question": "What is the average points for if there are points against more than 780 and points less than 0 for the 2008 OAFL season leaderboard?",
"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-18830",
"question": "What are the average points in the 2008 OAFL leaderboard if counterpoints are 594 and losses are more than 3?",
"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-18831",
"question": "What is the average percentage when there are 0+ wins, points against 481+, 8 losses, and points for 826+ for the 2008 OAFL season leaderboard?",
"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-18832",
"question": "What are the lowest wins when the club is Broadview Hawks and Points Against is more than 594 for 2008 OAFL season rankings?",
"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-18836",
"question": "How many losses did Melton have in total on the Ballarat Football League ladders in 2001 when he had fewer than 0 ties?",
"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-18838",
"question": "What was the total byes for the team that had 1136 opponents and fewer than 0 ties in the 2001 Ballarat Football League ladder?",
"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-18839",
"question": "What was the highest number of losses for the team in the Ballarat Football League 2001 Ladder that had 1427 opponents and 5+ wins?",
"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-18840",
"question": "What is the average number of byes for the Ballarat Football League 2001 Ladder team that lost 15 and won less than 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": [
"*saqit, *turi"
],
"style": "rule"
} | {
"answer": [
"*saqit, *turi"
],
"id": "wikisql-18862",
"question": "What is the Proto-Oceanic verb for the verb to sew among the verbs of the Proto-Austronesian language?",
"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": [
"*mate"
],
"style": "rule"
} | {
"answer": [
"*mate"
],
"id": "wikisql-18864",
"question": "What is the Proto-Oceanic verb for die in the Proto-Austronesian language?",
"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": [
"to sleep"
],
"style": "rule"
} | {
"answer": [
"to sleep"
],
"id": "wikisql-18865",
"question": "What is the verb for the Proto-Polynesian word *mohe in the Proto-Austronesian language?",
"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": [
"*tahiq, *zaqit"
],
"style": "rule"
} | {
"answer": [
"*tahiq, *zaqit"
],
"id": "wikisql-18867",
"question": "What is the Proto-Malayo-Polynesian word for the Proto-Oceanic word *saqit, *turi among the verbs of the Proto-Austronesian language?",
"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": [
"Hawke`s Bay / Hurricanes"
],
"style": "rule"
} | {
"answer": [
"Hawke`s Bay / Hurricanes"
],
"id": "wikisql-18887",
"question": "Which club/province has more than 9 caps and Ben Franks as a player for the current New Zealand national rugby union squad?",
"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": [
"MONY Tournament of Champions"
],
"style": "rule"
} | {
"answer": [
"MONY Tournament of Champions"
],
"id": "wikisql-18888",
"question": "In which tournament was Ian Baker-Finch PGA Tour wins (12) runner-up to Paul Azinger?",
"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&T Pebble Beach National Pro-Am"
],
"style": "rule"
} | {
"answer": [
"AT&T Pebble Beach National Pro-Am"
],
"id": "wikisql-18889",
"question": "What tournament was played on February 3, 1991 for Paul Azinger's 12 PGA Tour victories?",
"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": [
"–16 (67-69-65-67=268)"
],
"style": "rule"
} | {
"answer": [
"–16 (67-69-65-67=268)"
],
"id": "wikisql-18890",
"question": "What was the winning result for Paul Azinger in PGA Tour wins (12) Phoenix Open?",
"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": [
"7 strokes"
],
"style": "rule"
} | {
"answer": [
"7 strokes"
],
"id": "wikisql-18891",
"question": "In the tournament Stuart Appleby finished second in, what was the margin for Paul Azinger's PGA Tour wins (12)?",
"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 Super Mario Bros."
],
"style": "rule"
} | {
"answer": [
"New Super Mario Bros."
],
"id": "wikisql-18892",
"question": "What is the western title of the pinyin new chāojí mǎlìōu xiōngdì under IQue DS?",
"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": [
"Minigames"
],
"style": "rule"
} | {
"answer": [
"Minigames"
],
"id": "wikisql-18893",
"question": "IQue DS, which has a single-player game mode and the Chinese title Momo Wario Maker, has the genre ?",
"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": [
"Zhígǎn Yī Bǐ"
],
"style": "rule"
} | {
"answer": [
"Zhígǎn Yī Bǐ"
],
"id": "wikisql-18894",
"question": "What is the pinyin for the Chinese title under iQue by IQue DS?",
"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": [
"2005"
],
"style": "rule"
} | {
"answer": [
"2005"
],
"id": "wikisql-18895",
"question": "What is the release date for Chinese title Wario Made on IQue DS?",
"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": [
"Polarium"
],
"style": "rule"
} | {
"answer": [
"Polarium"
],
"id": "wikisql-18896",
"question": "What is the western title of puzzle genre on iQue DS?",
"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-18897",
"question": "What is the total number of laps for the time of +7.277 and the start number of more than 6 for the Superbike Race 2 classification of the 2008 Valencia Superbike World Championship round?",
"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": [
"Syracuse"
],
"style": "rule"
} | {
"answer": [
"Syracuse"
],
"id": "wikisql-18918",
"question": "What school did Allen go to?",
"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": [
"Western Illinois"
],
"style": "rule"
} | {
"answer": [
"Western Illinois"
],
"id": "wikisql-18919",
"question": "From the 2001 New York Giants season list, which school did the round 3 NFL draft pick go to?",
"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": [
"81–74"
],
"style": "rule"
} | {
"answer": [
"81–74"
],
"id": "wikisql-18924",
"question": "What is the score with a winning team that is San Antonio Spurs in the seventh game of the National Basketball Association?",
"split": "train"
} |
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