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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-15864",
"question": "What is the team's overall line-up for the 2007 Gran Premio Tecate race with a time/gap of +7.346?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15865",
"question": "What is the starting line-up of pkv racing under the Gran Premio Tecate 2007 with driver Oriol Servià?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"onhelp"
],
"style": "rule"
} | {
"answer": [
"onhelp"
],
"id": "wikisql-15866",
"question": "What are DOM events if Yes's Cancelable, Yes's Bubble, and a Keyboard category consider the attribute in Microsoft-specific events?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Data binding"
],
"style": "rule"
} | {
"answer": [
"Data binding"
],
"id": "wikisql-15868",
"question": "If the type was rowexit, what was the category under DOM events Microsoft specific events?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mouse"
],
"style": "rule"
} | {
"answer": [
"Mouse"
],
"id": "wikisql-15869",
"question": "If Cancelable is yes and Type of drag of DOM events, what was the category under Microsoft specific events?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"oncontextmenu"
],
"style": "rule"
} | {
"answer": [
"oncontextmenu"
],
"id": "wikisql-15870",
"question": "The attribute of DOM events when the event has Bubbles of yes, Cancelable of yes, Category of mouse, and a Type of contextmenu Microsoft-specific events. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"ondatasetcomplete"
],
"style": "rule"
} | {
"answer": [
"ondatasetcomplete"
],
"id": "wikisql-15871",
"question": "Assuming type is datasetcomplete, what attribute are the DOM's Microsoft-specific events?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15888",
"question": "What nationality is Northwood School (NY) among the Philadelphia Flyers draft picks of the 1985–86 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": [
"Retired Republican hold"
],
"style": "rule"
} | {
"answer": [
"Retired Republican hold"
],
"id": "wikisql-15889",
"question": "What are the results of incumbent William Vandever in the United States House of Representatives elections in California, 1890?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Vacant"
],
"style": "rule"
} | {
"answer": [
"Vacant"
],
"id": "wikisql-15890",
"question": "Who was the first person elected to US Congressmen from Democratic GAIN California in the 1890 United States House of Representatives elections?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Re-elected"
],
"style": "rule"
} | {
"answer": [
"Re-elected"
],
"id": "wikisql-15891",
"question": "What was the outcome of the 1890 election to the United States House of Representatives from California for incumbent Joseph McKenna, first elected in 1884?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Roger Vadim"
],
"style": "rule"
} | {
"answer": [
"Roger Vadim"
],
"id": "wikisql-15897",
"question": "Among the Golden Globe Awards for Best Foreign Language Film of the 1960s, what is the director of la ronde?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"17001"
],
"style": "rule"
} | {
"answer": [
"17001"
],
"id": "wikisql-15898",
"question": "What is the lowest number of people to attend the Western Conference Finals May 30 with Colorado as visitors in the Dallas Stars 1998-99 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": [
"16061"
],
"style": "rule"
} | {
"answer": [
"16061"
],
"id": "wikisql-15899",
"question": "What was the lowest number of people to attend the game of the 1998-99 Dallas Stars season of the Western Conference Finals where Colorado was the home 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": [
"3–0"
],
"style": "rule"
} | {
"answer": [
"3–0"
],
"id": "wikisql-15900",
"question": "What is the result of the Dallas Stars 1998-99 Western Conference final on May 26?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Inns & 455 runs"
],
"style": "rule"
} | {
"answer": [
"Inns & 455 runs"
],
"id": "wikisql-15903",
"question": "What was the score for 1911 in the Lancashire County Cricket Club Records list by the greatest margin of innings win?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15908",
"question": "Which 1st (m) is the lowest among the Willingeners of the 2007–08 FIS Cup Ski Jumping World Cup with nationality aut and more than 273.5 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": [
"141.5"
],
"style": "rule"
} | {
"answer": [
"141.5"
],
"id": "wikisql-15909",
"question": "From 2007–08 FIS Ski Jumping World Cup Willingen, which 2nd (m) is the lowest having a rank greater than 3 and 1st (m) greater than 140.5?",
"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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-15910",
"question": "Which runner-up (m) has an overall WC point ranking (rank) of 1632(1) and points greater than 273.5 among the Willingeners of the 2007-08 FIS Ski Jumping World 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": [
"Grand Slam Tournaments"
],
"style": "rule"
} | {
"answer": [
"Grand Slam Tournaments"
],
"id": "wikisql-15924",
"question": "Which tournament singles 2010 has 2001 grand slam tournaments under Alona Bondarenko?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2R"
],
"style": "rule"
} | {
"answer": [
"2R"
],
"id": "wikisql-15925",
"question": "Which 2006 singles tournament has a 2004 and a 2002 from non-Tier I under Alona Bondarenko?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"A"
],
"style": "rule"
} | {
"answer": [
"A"
],
"id": "wikisql-15926",
"question": "Which 2008 Alona Bondarenko among singles tournaments has a 2007 from a and a 2010 from qf?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"RuSPORT"
],
"style": "rule"
} | {
"answer": [
"RuSPORT"
],
"id": "wikisql-15932",
"question": "Among the qualifying results of the Gran Premio Tecate 2007, which team had a 1:24.365 qualifying 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": [
"Minardi Team USA"
],
"style": "rule"
} | {
"answer": [
"Minardi Team USA"
],
"id": "wikisql-15933",
"question": "Which team had a 1:24.152 Best for 2007 Gran Premio Tecate qualifying result?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1:24.152"
],
"style": "rule"
} | {
"answer": [
"1:24.152"
],
"id": "wikisql-15934",
"question": "What was the best of Robert Doornbos at Gran Premio Tecate 2007?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1:26.582"
],
"style": "rule"
} | {
"answer": [
"1:26.582"
],
"id": "wikisql-15935",
"question": "What was Alex Figge's best qualifying result for the Gran Premio Tecate 2007?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Pacific Coast Motorsports"
],
"style": "rule"
} | {
"answer": [
"Pacific Coast Motorsports"
],
"id": "wikisql-15936",
"question": "Which team had a best time of 1:25.602 for the Gran Premio Tecate 2007 qualifying 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": [
"David Martínez"
],
"style": "rule"
} | {
"answer": [
"David Martínez"
],
"id": "wikisql-15937",
"question": "What was the name of the person with Qual 1 of 1:26.056 in the Gran Premio Tecate 2007 qualifying 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": [
"222.0"
],
"style": "rule"
} | {
"answer": [
"222.0"
],
"id": "wikisql-15942",
"question": "What is the average pick for Clarence Mason in the Green Bay Packers 1961 NFL 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": [
"89.3"
],
"style": "rule"
} | {
"answer": [
"89.3"
],
"id": "wikisql-15943",
"question": "What is the frequency for the city of Lamar, Colorado from KTLF translators?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"250.0"
],
"style": "rule"
} | {
"answer": [
"250.0"
],
"id": "wikisql-15944",
"question": "What is the average ERP W for callsign KTLF among translators of K207BK?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"K292FM"
],
"style": "rule"
} | {
"answer": [
"K292FM"
],
"id": "wikisql-15945",
"question": "Which call sign among the translators of KTLF has ERP W of 99 and a frequency greater than 88.7 MHz?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ft. Collins, Colorado"
],
"style": "rule"
} | {
"answer": [
"Ft. Collins, Colorado"
],
"id": "wikisql-15946",
"question": "Which city of KTLF has ERP W under 14 and frequency over 93.7 MHz among translators?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 7"
],
"style": "rule"
} | {
"answer": [
"November 7"
],
"id": "wikisql-15966",
"question": "When did the Yugoslav national football team play against Norway in 1965-1966 with a 1-1 result?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Friendly"
],
"style": "rule"
} | {
"answer": [
"Friendly"
],
"id": "wikisql-15967",
"question": "What kind of game ended 0-0 for the Yugoslav national football team in 1965?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Luxembourg"
],
"style": "rule"
} | {
"answer": [
"Luxembourg"
],
"id": "wikisql-15968",
"question": "In which city of the Yugoslav national football team was this game played in 1965 with a 5-2 result?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5–7"
],
"style": "rule"
} | {
"answer": [
"5–7"
],
"id": "wikisql-15971",
"question": "What was the week 13 record at the Hoosier Dome for the 1992 Indianapolis Colts season schedule?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"7"
],
"id": "wikisql-15972",
"question": "What was the week of October 18, 1992 for the 1992 Indianapolis Colts season schedule?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"White Pass and Yukon Route"
],
"style": "rule"
} | {
"answer": [
"White Pass and Yukon Route"
],
"id": "wikisql-15988",
"question": "What travel details did Simon Hoggart have as narrator on Great Railway Journeys: Great Little Railways?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Portugal"
],
"style": "rule"
} | {
"answer": [
"Portugal"
],
"id": "wikisql-15989",
"question": "Which countries visited had an episode count less than 7 when Ray Gosling was the author of Great Railway Journeys' Great Little Railways?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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`5"
],
"style": "rule"
} | {
"answer": [
"6`5"
],
"id": "wikisql-15990",
"question": "How tall is Zipp Duncan on the Louisville 2008 Kentucky Wildcats football 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": [
"1.0"
],
"style": "rule"
} | {
"answer": [
"1.0"
],
"id": "wikisql-15991",
"question": "How many games did the 2008 Kentucky Wildcats football team average in Tony Dixon's Louisville football program?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15992",
"question": "How many wins where top 25 total is 6, top 10 is more than 2 and event number is less than 19 for Lee Janzen'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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-15993",
"question": "What is the total number of cuts made where the top 25 is less than 6 and the top 5 is more than 0 in Lee Janzen'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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-15994",
"question": "How many top 10 numbers had a top 25 of more than 6 with fewer than 2 wins in Lee Janzen'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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-16001",
"question": "How many field goals did the 1904 Michigan Wolverines football team have points greater than 5, touchdowns greater than 2, and extra points less than 0 in Michigan 48 Ohio Northern 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-16002",
"question": "How many touchdowns have extra points greater than 0 and points of 48 for 1904 Michigan 48 Ohio Northern 0 Michigan Wolverines football 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-16003",
"question": "Which touchdowns have extra points less than 5 and a player for Clark and field goals greater than 0 under Michigan 48 Ohio Northern 0 1904 Michigan Wolverines Football 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": [
"Tempo di Viaggio"
],
"style": "rule"
} | {
"answer": [
"Tempo di Viaggio"
],
"id": "wikisql-16020",
"question": "What films directed by Tarkovsky's original titles have a year from 1983 and a country Italy in Andrei Tarkovsky's filmography?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-16021",
"question": "How many years is an original title of Andrei Tarkovsky's filmography for films directed by Tarkovsky, The Sacrifice?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2.0"
],
"style": "rule"
} | {
"answer": [
"2.0"
],
"id": "wikisql-16046",
"question": "What was the average rank of a player in the 2008 Campeonato Brasileiro Série A league table with more than 52 points, fewer than 10 draws, a goal loss under 44 and a goal loss under 15?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-16047",
"question": "What was the highest number of defeats for a player named Santos with more than 45 points for the 2008 Campeonato Brasileiro Série A league table?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-16059",
"question": "What was the lowest FA Cup for a Malaysia Cup of 0 among Kuala Lumpur FA goalscorers in 2005/06 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-16060",
"question": "What is Zamri Hassan's lowest Malaysia Cup in Kuala Lumpur FA season 2005/06 when there was FA Cup of 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-16061",
"question": "What is the lowest league for the Malaysia Cup when it was greater than 0 in Kuala Lumpur FA's goalscoring chart in 2005-06 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-16074",
"question": "What is the average GBP price at an event in Monterey, an RM auction house and a price of $154,000 after 2003 for Jaguar XJR-15 in auction history?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5000"
],
"style": "rule"
} | {
"answer": [
"5000"
],
"id": "wikisql-16080",
"question": "Which ERP W is the lowest among the Good News Networks with a frequency of 91.3 MHz for fully equipped stations?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"A"
],
"style": "rule"
} | {
"answer": [
"A"
],
"id": "wikisql-16081",
"question": "Regarding Good News Network, which station (at full power) of the class has a frequency of 107.5 MHz?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"90.5"
],
"style": "rule"
} | {
"answer": [
"90.5"
],
"id": "wikisql-16082",
"question": "What frequency MHz is the highest that has a city license from Byron, ga among Good News Network's Full Powered Stations?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"FCC"
],
"style": "rule"
} | {
"answer": [
"FCC"
],
"id": "wikisql-16083",
"question": "What FCC information has a call sign of wsja among Good News Network's Full Powered Stations?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Justin Ryan"
],
"style": "rule"
} | {
"answer": [
"Justin Ryan"
],
"id": "wikisql-16091",
"question": "Who entered on day 1 and exited on day 20 for \"I'm a celebrity...get me out of here\"! Series 9 of the British TV series (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": [
"Day 10"
],
"style": "rule"
} | {
"answer": [
"Day 10"
],
"id": "wikisql-16092",
"question": "When is Lucy Benjamin on I'm a Celebrity...Get Me Out of Here! (British TV series) Series 9 (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": [
"13th"
],
"style": "rule"
} | {
"answer": [
"13th"
],
"id": "wikisql-16093",
"question": "When did Camilla Dallerup end in Series 9 (2009) I'm a Celebrity...Get Me Out of Here! (British TV series) ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Day 1"
],
"style": "rule"
} | {
"answer": [
"Day 1"
],
"id": "wikisql-16094",
"question": "What is series 9 2009 of I'm a Celebrity...Get Me Out of Here! (British TV series) When did Kim Woodburn enter?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-16095",
"question": "What was the March game result with a record of 37–26–9 for the Detroit Red Wings' 1992–93 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": [
"2 – 3"
],
"style": "rule"
} | {
"answer": [
"2 – 3"
],
"id": "wikisql-16096",
"question": "What was the outcome of the game with a record 33–25–9 in the Detroit Red Wings' 1992–93 season in March?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"s Clothes Dryer"
],
"style": "rule"
} | {
"answer": [
"s Clothes Dryer"
],
"id": "wikisql-16108",
"question": "What was segment b for Netflix s01e21 in Season 2 Episodes List: 2002 How It's Made ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Acoustic Guitars"
],
"style": "rule"
} | {
"answer": [
"Acoustic Guitars"
],
"id": "wikisql-16109",
"question": "Which segment d in the How It's Made episodes list of season 2 2002: The Series is associated with an episode number above 16 and a segment c of the laser eye surgery?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-16120",
"question": "Which faith among the elementary schools in southeastern Dacorum bears the name of Belswain?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tudor"
],
"style": "rule"
} | {
"answer": [
"Tudor"
],
"id": "wikisql-16121",
"question": "Which school is an elementary school with DCSF number 2045 in southeast Dacorum?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Safety"
],
"style": "rule"
} | {
"answer": [
"Safety"
],
"id": "wikisql-16122",
"question": "Which position in the 2007 Jacksonville Jaguars draft history had less than 3 rounds and less than 48 overall?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-16123",
"question": "When the Jacksonville Jaguars Draft History 2007 draft total was less than 101, what name was Adam Podlesh with the highest pick number?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"A"
],
"style": "rule"
} | {
"answer": [
"A"
],
"id": "wikisql-16151",
"question": "Which 2004 has a French Open tournament under Natalie Grandin in the doubles performance schedule?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1R"
],
"style": "rule"
} | {
"answer": [
"1R"
],
"id": "wikisql-16152",
"question": "Which 2003 has a 2013 from 1r and a 2007 from 2r under Natalie Grandin's double performance timeline?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 / 4"
],
"style": "rule"
} | {
"answer": [
"0 / 4"
],
"id": "wikisql-16153",
"question": "Which 2007 Grand Slam Sr Tournament Has Under Natalie Grandin' Doubles Performance Timeline?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-16154",
"question": "Which 2008 has a career win-loss 25–40 for Natalie Grandin in the 2008 doubles performance timeline?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"25–40"
],
"style": "rule"
} | {
"answer": [
"25–40"
],
"id": "wikisql-16155",
"question": "What career win-loss has 2001 1-1 under Natalie Grandin's doubles performance timeline?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3R"
],
"style": "rule"
} | {
"answer": [
"3R"
],
"id": "wikisql-16156",
"question": "Which 2012 has a 2007 by 1r and a 2008 by 1r and a 2013 by 2r under Natalie Grandin's double performance timeline?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Baie-Comeau Drakkar (QMJHL)"
],
"style": "rule"
} | {
"answer": [
"Baie-Comeau Drakkar (QMJHL)"
],
"id": "wikisql-16157",
"question": "From which college or club came the Canadian draft pick for Round 9 of the 1998-99 Philadelphia Flyers 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": [
"Sergei Skrobot"
],
"style": "rule"
} | {
"answer": [
"Sergei Skrobot"
],
"id": "wikisql-16158",
"question": "Who is the 1998-99 Philadelphia Flyers draft picks player who came from Dynamo-2 Moscow (Russia) and was selected after Round 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": [
"Goaltender"
],
"style": "rule"
} | {
"answer": [
"Goaltender"
],
"id": "wikisql-16159",
"question": "What is the position of the Finland draft pick among the Philadelphia Flyers draft picks of the 1998-99 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": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-16160",
"question": "Among the 1998-99 Philadelphia Flyers, what is the lowest round number picked by Ian Forbes in the 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": [
"Marcus Smith"
],
"style": "rule"
} | {
"answer": [
"Marcus Smith"
],
"id": "wikisql-16190",
"question": "Which New Mexico player is playing the WR position of the 2008 NFL Draft during the Baltimore Ravens 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": [
"10"
],
"style": "rule"
} | {
"answer": [
"10"
],
"id": "wikisql-16196",
"question": "What is Brendan Gaughan's car number under the Power Stroke Diesel 200 of the 2008 NASCAR Craftsman Truck Series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-16197",
"question": "What is Mike Skinner's Chevrolet car number in the Power Stroke Diesel 200 of the 2008 NASCAR Craftsman Truck Series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"6"
],
"id": "wikisql-16198",
"question": "What is Brendan Gaughan's position in the Power Stroke Diesel 200 2008 NASCAR Craftsman Truck Series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-16206",
"question": "What game↑ is the lowest that has a position of wlb under the defense of the 2008 Tennessee Volunteers football 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-16207",
"question": "What is the lowest defensive play with a number of 98 for the 2008 Tennessee Volunteers football 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": [
"11-13"
],
"style": "rule"
} | {
"answer": [
"11-13"
],
"id": "wikisql-16209",
"question": "Which series episode has Stetson hats (part 1) under segment C in List of How It's Made episodes 2008 season 11?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hearts of Palm"
],
"style": "rule"
} | {
"answer": [
"Hearts of Palm"
],
"id": "wikisql-16210",
"question": "What is under segment C if the cuckoo clock is under segment B in the 2008 season 11 How It's Made episodes list?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Artificial Joints (Part 1)"
],
"style": "rule"
} | {
"answer": [
"Artificial Joints (Part 1)"
],
"id": "wikisql-16211",
"question": "Season 11 - 2008: In the episodes of List of How It's Made, if segment B is pineapple, what is segment C?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"11-02"
],
"style": "rule"
} | {
"answer": [
"11-02"
],
"id": "wikisql-16212",
"question": "In the How It's Made Season 11: 2008 list, which series episode has jukeboxes as segment B?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-16213",
"question": "Which week ended in a 30-3 score and had fewer than 62,795 viewers in the Washington Redskins schedule for the 1971 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": [
"December 16, 1993"
],
"style": "rule"
} | {
"answer": [
"December 16, 1993"
],
"id": "wikisql-16220",
"question": "When was the first cap tied with 74 caps for the Brazil national football team's top scorer?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-16221",
"question": "Brazil national football team top scorers, how many goals are associated with over 97 caps and one last cap on 24 April 2013?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-16223",
"question": "What is the highest number of goals in connection with 39 caps for the top scorers of the Brazil national football 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-16247",
"question": "How many weeks of the Washington Redskins 1962 schedule have a attendance greater than 21,231 with a score of l-38-10?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 New York Giants"
],
"style": "rule"
} | {
"answer": [
"at New York Giants"
],
"id": "wikisql-16248",
"question": "Which 1962 Washington Redskins opponent has a attendance greater than 57,491, as of October 28, 1962?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"34508"
],
"style": "rule"
} | {
"answer": [
"34508"
],
"id": "wikisql-16249",
"question": "What is the highest attendance count with December 16, 1962 as the date in the Washington Redskins 1962 season schedule?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-16250",
"question": "What is the biggest t 35-35 scoring week on the Washington Redskins' 1962 season schedule?",
"split": "train"
} |
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