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": [
"1996"
],
"style": "rule"
} | {
"answer": [
"1996"
],
"id": "wikisql-69176",
"question": "When was the earliest first game of 11 games played 12 lost for Ireland women's national rugby union 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-69177",
"question": "What is the average number of games played for Ireland women's national rugby union team involving a first game in 1997 and over 0 games drawn?",
"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-69178",
"question": "How many first games associated with 5 games played and less than 3 games lost for Ireland women's national rugby union 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-69179",
"question": "How many games will be drawn when there are 78 losses and over 121 games played for Ireland women's rugby union 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-69180",
"question": "How many times has the Netherlands women's national rugby union team been drawn when more than 4 were played and the first game was played in 2000?",
"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-69181",
"question": "What are the most games lost in 0 draws for Netherlands women's national rugby union 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-69182",
"question": "What is the highest number of matches played with 2 losses, a percentage of 0.00% and more than 0 ties for the Netherlands women's national rugby union 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-69183",
"question": "What is the most lost games when the percentage is 50.00% and less than 2 games are played for Netherlands women rugby union 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-69184",
"question": "How many ties will there be if the percentage is 100.00% and 7 are played for the Netherlands women's national rugby union 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-69185",
"question": "How many times has the Netherlands women's national rugby union team drawn more than 0 and lost more than 0?",
"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": [
"Ferencváros"
],
"style": "rule"
} | {
"answer": [
"Ferencváros"
],
"id": "wikisql-69186",
"question": "Which club didn't win the 1992, 2003 editions under Szuperkupa?",
"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": [
"—"
],
"style": "rule"
} | {
"answer": [
"—"
],
"id": "wikisql-69187",
"question": "Who finalist under Super Cup has the Club of Győri?",
"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"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikisql-69188",
"question": "Who is winner among szuperkupa who have editions of 1992, 2003 as non-winning?",
"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-69189",
"question": "What are the finalists who have 2008, 2012, 2013 as non-winning editions under Szuperkupa?",
"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": [
"Ford Cosworth DFV 3.0 V8",
"Ford Cosworth DFV 3.0 V8"
],
"style": "rule"
} | {
"answer": [
"Ford Cosworth DFV 3.0 V8",
"Ford Cosworth DFV 3.0 V8"
],
"id": "wikisql-69190",
"question": "What was the engine in the Theodore n183 in the 1983 race of champions?",
"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": [
"Jesper B. Jensen (14+3 pts)"
],
"style": "rule"
} | {
"answer": [
"Jesper B. Jensen (14+3 pts)"
],
"id": "wikisql-69191",
"question": "Who is listed as the 1-year-old winner of the 2005 European Individual Speedway Championship?",
"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": [
"Lonigo"
],
"style": "rule"
} | {
"answer": [
"Lonigo"
],
"id": "wikisql-69192",
"question": "Which venue among the Individual Speedway European Championships has a year of 2005?",
"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": [
"23-21"
],
"style": "rule"
} | {
"answer": [
"23-21"
],
"id": "wikisql-69193",
"question": "What about the 1953 San Francisco 49ers season if November 15 is the date?",
"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": [
"5-3-0"
],
"style": "rule"
} | {
"answer": [
"5-3-0"
],
"id": "wikisql-69194",
"question": "Which record has November 15 as the date for the 1953 San Francisco 49ers 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": [
"2001.0"
],
"style": "rule"
} | {
"answer": [
"2001.0"
],
"id": "wikisql-69202",
"question": "In which year was Angélica Rivera nominated for Mariana de la Noche?",
"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": [
"17.0"
],
"style": "rule"
} | {
"answer": [
"17.0"
],
"id": "wikisql-69207",
"question": "With a distribution of 10.6%, what is the average API level on Android (OS)?",
"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": [
"10.0"
],
"style": "rule"
} | {
"answer": [
"10.0"
],
"id": "wikisql-69208",
"question": "What is the API level for Android (OS) with a release date of February 9, 2011?",
"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": [
"Cupcake"
],
"style": "rule"
} | {
"answer": [
"Cupcake"
],
"id": "wikisql-69209",
"question": "What is the Android (OS) API Level 3 codename?",
"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": [
"Ice Cream Sandwich"
],
"style": "rule"
} | {
"answer": [
"Ice Cream Sandwich"
],
"id": "wikisql-69210",
"question": "With what distribution of 20.6% is Android (operating system) codenamed?",
"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": [
"Jelly Bean"
],
"style": "rule"
} | {
"answer": [
"Jelly Bean"
],
"id": "wikisql-69211",
"question": "What is the codename of Android (operating system) with API level 18?",
"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-69212",
"question": "How many votes did Other get in the 2004 US presidential election in New Jersey, where Bush received less than 154,204 votes and Kerry 41.7% and more than 98,066 votes?",
"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": [
"203681"
],
"style": "rule"
} | {
"answer": [
"203681"
],
"id": "wikisql-69213",
"question": "What was Kerry's lowest number of votes in the United States presidential election in New Jersey, 2004, where Other received 0.8% and Kerry 70.4%?",
"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-69214",
"question": "How many votes did Others get where Kerry has 44.6% and Bush has more than 163,650 votes in the 2004 United States Presidential Election in New Jersey?",
"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": [
"Ambassador Extraordinary and Plenipotentiary"
],
"style": "rule"
} | {
"answer": [
"Ambassador Extraordinary and Plenipotentiary"
],
"id": "wikisql-69215",
"question": "What is the title of termination of the mission of the current United States Ambassador to Belize?",
"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": [
"George W. Bush"
],
"style": "rule"
} | {
"answer": [
"George W. Bush"
],
"id": "wikisql-69216",
"question": "What appointment did on April 7, 2005 the completion of the mission among the United States Ambassadors in Belize?",
"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": [
"George H. W. Bush"
],
"style": "rule"
} | {
"answer": [
"George H. W. Bush"
],
"id": "wikisql-69217",
"question": "Which appointee has a presentation of credentials under the United States Ambassador to Belize on November 22, 1990?",
"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 Johann Dieter"
],
"style": "rule"
} | {
"answer": [
"Robert Johann Dieter"
],
"id": "wikisql-69218",
"question": "Which representative among the United States Ambassadors in Belize has a certificate of delivery on September 8, 2005?",
"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": [
"June 23, 1983"
],
"style": "rule"
} | {
"answer": [
"June 23, 1983"
],
"id": "wikisql-69219",
"question": "What completion of the mission has an October 29, 1981 credentialing under the United States Ambassador to Belize?",
"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-69221",
"question": "How many points did the 1972 Cosworth v8 engine get for Reine Wisell?",
"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-69228",
"question": "What is the analog type for wxmi under Sean Compton?",
"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": [
"WGN America"
],
"style": "rule"
} | {
"answer": [
"WGN America"
],
"id": "wikisql-69229",
"question": "What is the call sign for the independent affiliation under Sean Compton?",
"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": [
"11"
],
"style": "rule"
} | {
"answer": [
"11"
],
"id": "wikisql-69230",
"question": "What is the analog type for cw on digital 26 for Sean Compton?",
"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": [
"WHNT-TV"
],
"style": "rule"
} | {
"answer": [
"WHNT-TV"
],
"id": "wikisql-69231",
"question": "What is the call sign for Sean Compton's Analog 19?",
"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": [
"← Majority"
],
"style": "rule"
} | {
"answer": [
"← Majority"
],
"id": "wikisql-69236",
"question": "Name the D46 when it has D 44 of ← majority in the United States Senate election of 1944?",
"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": [
"D 52"
],
"style": "rule"
} | {
"answer": [
"D 52"
],
"id": "wikisql-69237",
"question": "Name the D 45 that has D 44 of d 53 for the United States Senate election of 1944?",
"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": [
"D 23"
],
"style": "rule"
} | {
"answer": [
"D 23"
],
"id": "wikisql-69238",
"question": "Do you call the D 43 if it has D 45 of d 25 in the 1944 United States Senate election?",
"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": [
"D 54"
],
"style": "rule"
} | {
"answer": [
"D 54"
],
"id": "wikisql-69239",
"question": "Among the United States Senate elections in 1944 calls the d 43 when it has d 41 of d 56?",
"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": [
"R 10"
],
"style": "rule"
} | {
"answer": [
"R 10"
],
"id": "wikisql-69240",
"question": "What is the name of the D 46 that has D 42 of r 14 for the 1944 United States Senate election?",
"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": [
"ABCD – Any Body Can Dance"
],
"style": "rule"
} | {
"answer": [
"ABCD – Any Body Can Dance"
],
"id": "wikisql-69246",
"question": "Which 2013 Anushka Manchanda album was produced by Sachin-Jigar and contained the song mann basiyo sanwariyo?",
"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"
],
"style": "rule"
} | {
"answer": [
"23"
],
"id": "wikisql-69259",
"question": "Name the lowest league for playoffs over 0 and 25 overall for Blackpool FC 1990/91 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"
],
"style": "rule"
} | {
"answer": [
"2007"
],
"id": "wikisql-69260",
"question": "What was the earliest year of the China women's national rugby union team to play fewer than 2 matches?",
"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-69261",
"question": "How many matches were played in the China women's national rugby union team season before 2005?",
"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": [
"320"
],
"style": "rule"
} | {
"answer": [
"320"
],
"id": "wikisql-69262",
"question": "What is the shortest pick for Ron Barnett in the 1976 Seattle Seahawks 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": [
"Steve Niehaus"
],
"style": "rule"
} | {
"answer": [
"Steve Niehaus"
],
"id": "wikisql-69263",
"question": "Name the player who left for Notre Dame in the 1976 Seattle Seahawks 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-69264",
"question": "What's up with Bill Collins as a player in the 1961 Masters 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": [
"3200"
],
"style": "rule"
} | {
"answer": [
"3200"
],
"id": "wikisql-69265",
"question": "How much money does 76-70-68-73=287 score for the 1961 Masters 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": [
"Ferrari 106 2.5 L4"
],
"style": "rule"
} | {
"answer": [
"Ferrari 106 2.5 L4"
],
"id": "wikisql-69277",
"question": "Welcher Motor von Paul Brother hat 3 Punkte?",
"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-69278",
"question": "Under Paul Frère, what are the highest points with a Gordini t16 chassis and a year of manufacture before 1954?",
"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": [
"Party"
],
"style": "rule"
} | {
"answer": [
"Party"
],
"id": "wikisql-69283",
"question": "What is the name of the party named by the Cabinet Secretary for Culture and Foreign Affairs?",
"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": [
"22 November 2001"
],
"style": "rule"
} | {
"answer": [
"22 November 2001"
],
"id": "wikisql-69285",
"question": "Which left-wing post does Henry McLeish's First Secretary hold in the Cabinet Secretary for Culture and Foreign Affairs?",
"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-69286",
"question": "In what year in the Tablelands region was the population of Eacham 6,074 and the population of Atherton less than 10,119?",
"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-69287",
"question": "Considering the Highlands region, what was the population of Herberton when Mareeba had a population of 17,129 and Eacham had a population of less than 5,609?",
"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-69288",
"question": "What was the Tablelands Region total after 1976 when Mareeba had a population of more than 18,212?",
"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-69289",
"question": "Among Laval Titan, list most games for 5th place, Lebels and Goals against 220+ with 52+ lost ?",
"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-69290",
"question": "What is the name of the least tied player with 70+ games and under 310 goals with 98 points for Laval Titan?",
"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-69292",
"question": "What was the last year with less than 0 points for Wolfgang Seidel?",
"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": [
"Wolfgang Seidel"
],
"style": "rule"
} | {
"answer": [
"Wolfgang Seidel"
],
"id": "wikisql-69293",
"question": "Which competitor has a year before 1960 and a Veritas straight-six engine among the full Formula 1 World Championship results?",
"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-69294",
"question": "What is the average year with a Veritas rs chassis and more than 0 points at Wolfgang Seidel?",
"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-69295",
"question": "What is the score for the competitor of Wolfgang Seidel and a Cooper t45 chassis after 1960 in Formula 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-69296",
"question": "What is the last year for an Emeryson 1006 chassis with more than 0 points considering Wolfgang Seidel?",
"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": [
"3-4"
],
"style": "rule"
} | {
"answer": [
"3-4"
],
"id": "wikisql-69297",
"question": "What was the result of the 1968 African Cup of Champions Clubs second leg with an aggregate score of 4-6?",
"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": [
"TP Englebert"
],
"style": "rule"
} | {
"answer": [
"TP Englebert"
],
"id": "wikisql-69298",
"question": "Which is the second team of the 1968 African Cup of Champions Clubs that has the first team of African sport?",
"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": [
"Africa Sports"
],
"style": "rule"
} | {
"answer": [
"Africa Sports"
],
"id": "wikisql-69299",
"question": "What is team 1 that tp englebert have for team 2 among clubs in african cup of champions 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": [
"Etoile Filante de Lomé"
],
"style": "rule"
} | {
"answer": [
"Etoile Filante de Lomé"
],
"id": "wikisql-69300",
"question": "Which Team 2 has a 0-2 return leg in 1968 African Cup of Champions Clubs?",
"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": [
"Foyer France"
],
"style": "rule"
} | {
"answer": [
"Foyer France"
],
"id": "wikisql-69301",
"question": "Among the clubs in the 1968 African Cup of Champions, which team has far more than Team 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": [
"2-4"
],
"style": "rule"
} | {
"answer": [
"2-4"
],
"id": "wikisql-69302",
"question": "What is the agg for a team 1-3 second leg for 1968 African Cup of Champions Clubs?",
"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"
],
"style": "rule"
} | {
"answer": [
"32"
],
"id": "wikisql-69303",
"question": "What is the lap total at a time/retirement of +47.376 seconds for the 2007 United States Motorcycle Grand Prix?",
"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-69304",
"question": "With a rider owned by Marco Melandri and a grid less than 10, what is the highest lap count at the 2007 US Motorcycle Grand Prix?",
"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-69305",
"question": "What is the 2007 United States Motorcycle Grand Prix with 32+ laps and Sylvain Guintoli as the rider, what is the lowest starting grid?",
"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": [
"Total"
],
"style": "rule"
} | {
"answer": [
"Total"
],
"id": "wikisql-69307",
"question": "Which ethnic group numbered 65,104 among the Malays in Singapore in 1931?",
"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": [
"Advanced"
],
"style": "rule"
} | {
"answer": [
"Advanced"
],
"id": "wikisql-69308",
"question": "What was Butterscotch's (performer) result for Vegas Verdicts week?",
"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": [
"Top 8"
],
"style": "rule"
} | {
"answer": [
"Top 8"
],
"id": "wikisql-69309",
"question": "Which week in Butterscotch (Actor) had a hero theme?",
"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": [
"N/A"
],
"style": "rule"
} | {
"answer": [
"N/A"
],
"id": "wikisql-69310",
"question": "From Butterscotch (performer), what was the theme for Vegas Verdicts week with a score of Advanced?",
"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": [
"7/7"
],
"style": "rule"
} | {
"answer": [
"7/7"
],
"id": "wikisql-69311",
"question": "What is the Rhinoceros Party placement if the votes are less than 208 and if the candidate is Jordan Turner?",
"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": [
"Hugo Samson Veillette"
],
"style": "rule"
} | {
"answer": [
"Hugo Samson Veillette"
],
"id": "wikisql-69312",
"question": "Which rhinoceros party is the candidate when the riding is Hochelaga?",
"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": [
"6/7"
],
"style": "rule"
} | {
"answer": [
"6/7"
],
"id": "wikisql-69313",
"question": "What is the ranking if the candidate Jean-Patrick Berthiaume is under the Rhinoceros Party?",
"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-69317",
"question": "Which week of the 1966 Oakland Raiders season featured a 23-14 score?",
"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": [
"7.15 (57) – 7.10 (52)"
],
"style": "rule"
} | {
"answer": [
"7.15 (57) – 7.10 (52)"
],
"id": "wikisql-69318",
"question": "Give the score for the Hawthorn opponent for Geelong Football 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": [
"12.19 (91) – 12.8 (80)"
],
"style": "rule"
} | {
"answer": [
"12.19 (91) – 12.8 (80)"
],
"id": "wikisql-69319",
"question": "Name the score at mcg venue and footscray opponent for geelong football 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": [
"MCG"
],
"style": "rule"
} | {
"answer": [
"MCG"
],
"id": "wikisql-69320",
"question": "From the Geelong Football Club list, can you name the venue with Collingwood's opponent?",
"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 June 2009"
],
"style": "rule"
} | {
"answer": [
"6 June 2009"
],
"id": "wikisql-69321",
"question": "When does Ki Sung Yueng have a score of 2-0 and a score of 2-0?",
"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": [
"Al-Gharafa Stadium , Doha"
],
"style": "rule"
} | {
"answer": [
"Al-Gharafa Stadium , Doha"
],
"id": "wikisql-69322",
"question": "Which venue has goal greater than 3 and competition of 2011 AFC Asian Cup under Ki Sung-Yueng?",
"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": [
"2003"
],
"style": "rule"
} | {
"answer": [
"2003"
],
"id": "wikisql-69338",
"question": "Name the last year for les triplettes de belleville under the Boston Society of Film Critics award 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": [
"House of Flying Daggers"
],
"style": "rule"
} | {
"answer": [
"House of Flying Daggers"
],
"id": "wikisql-69339",
"question": "Besides the Boston Society of Film Critics award for best foreign language film, do you name the English title for Zhang Yimou?",
"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": [
"Mexico"
],
"style": "rule"
} | {
"answer": [
"Mexico"
],
"id": "wikisql-69340",
"question": "Name the country for 2002 Boston Society of Film Critics Award 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": [
"Pan`s Labyrinth"
],
"style": "rule"
} | {
"answer": [
"Pan`s Labyrinth"
],
"id": "wikisql-69341",
"question": "What is the English title of the Boston Society of Film Critics Award for Best Foreign Language Film for Mexico/Spain/USA?",
"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-69342",
"question": "Name the country with the year over 2008 Boston Society of Film Critics Award 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": [
"1970.0"
],
"style": "rule"
} | {
"answer": [
"1970.0"
],
"id": "wikisql-69343",
"question": "What year did the Cosworth v8 engine compete under Pete Lovely?",
"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-69344",
"question": "In what year under Pete Lovely did the team get more than 0 points?",
"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": [
"Lotus 69 Special"
],
"style": "rule"
} | {
"answer": [
"Lotus 69 Special"
],
"id": "wikisql-69345",
"question": "Which chassis was used in Pete Lovely in 1971?",
"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": [
"1993"
],
"style": "rule"
} | {
"answer": [
"1993"
],
"id": "wikisql-69353",
"question": "When did Northeastern University join the Yankee Conference?",
"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": [
"Public"
],
"style": "rule"
} | {
"answer": [
"Public"
],
"id": "wikisql-69354",
"question": "What type of institution is there in Amherst, MA for the Yankee Conference?",
"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-69357",
"question": "What is the bronze value associated with ranks above 5 at the 2004 European Figure Skating Championships?",
"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-69358",
"question": "What is the highest number of bronzes for countries ranked above 5 with 0 gold at the 2004 European Figure Skating Championships?",
"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": [
"4-1"
],
"style": "rule"
} | {
"answer": [
"4-1"
],
"id": "wikisql-69361",
"question": "Name the score on August 21, 2007 for Maher Al-Sayed?",
"split": "train"
} |
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