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": [
"10"
],
"style": "rule"
} | {
"answer": [
"10"
],
"id": "wikitq-02281",
"question": "How many wins has Ohio State had under the Mr. Football Award (Ohio)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ray Williams"
],
"style": "rule"
} | {
"answer": [
"Ray Williams"
],
"id": "wikitq-02282",
"question": "After Ben Mauk, who became Mr. Football Awards (Ohio) Player of the Year?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Buster Howe"
],
"style": "rule"
} | {
"answer": [
"Buster Howe"
],
"id": "wikitq-02283",
"question": "Who Was The Player Of The Year Before Robert Smith At The Mr. Football Awards (Ohio)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ray Williams"
],
"style": "rule"
} | {
"answer": [
"Ray Williams"
],
"id": "wikitq-02284",
"question": "Who Was The Best Player At The 2003 Mr. Football Awards (Ohio)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"13313"
],
"style": "rule"
} | {
"answer": [
"13313"
],
"id": "wikitq-02285",
"question": "How many people attended the Harlequins Rugby League v Hull game in 2008?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Pave Maijanen"
],
"style": "rule"
} | {
"answer": [
"Pave Maijanen"
],
"id": "wikitq-02286",
"question": "What is the lowest score achieved by an artist in the 1992 Eurovision Song Contest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"13"
],
"style": "rule"
} | {
"answer": [
"13"
],
"id": "wikitq-02287",
"question": "How many artists scored at least 40 points in the 1992 Eurovision Song Contest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Kingdom"
],
"style": "rule"
} | {
"answer": [
"United Kingdom"
],
"id": "wikitq-02288",
"question": "Who placed higher in the 1992 Eurovision Song Contest, Israel or the United Kingdom?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02289",
"question": "How many points did Finland score in the 1992 Eurovision Song Contest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ireland"
],
"style": "rule"
} | {
"answer": [
"Ireland"
],
"id": "wikitq-02290",
"question": "Which country scored the most points in the 1992 Eurovision Song Contest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02291",
"question": "Which artist scored the most song scores in the 1992 Eurovision Song Contest, France or Spain?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Daisy Auvray"
],
"style": "rule"
} | {
"answer": [
"Daisy Auvray"
],
"id": "wikitq-02292",
"question": "Which artist -lrb- s -rrb- scored a total of 32 points in the 1992 Eurovision Song Contest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Dina"
],
"style": "rule"
} | {
"answer": [
"Dina"
],
"id": "wikitq-02293",
"question": "Which artist's song scored the fewest points in the 1992 Eurovision Song Contest, Diana or Kali?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Kingdom"
],
"style": "rule"
} | {
"answer": [
"United Kingdom"
],
"id": "wikitq-02294",
"question": "Which country collected the most points after the first Eurovision Song Contest in 1992?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02295",
"question": "How many songs scored less than 10 points in the 1992 Eurovision Song Contest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1984"
],
"style": "rule"
} | {
"answer": [
"1984"
],
"id": "wikitq-02296",
"question": "What year did Jon-Erik Hexum play the role of Mac Harper and also Pat Trammell?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02297",
"question": "On Jon-Erik Hexum's list, how many titles on this list has he not played the role of Phineas Bogg in?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Miracles"
],
"style": "rule"
} | {
"answer": [
"Miracles"
],
"id": "wikitq-02303",
"question": "Album released after Emotion for Merry Clayton ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gimme Shelter"
],
"style": "rule"
} | {
"answer": [
"Gimme Shelter"
],
"id": "wikitq-02304",
"question": "What is Merry Clayton's first released album?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"25"
],
"id": "wikitq-02305",
"question": "What is the interval between first and last album in the chart for Merry Clayton?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1979"
],
"style": "rule"
} | {
"answer": [
"1979"
],
"id": "wikitq-02306",
"question": "In which year was the only album by the Fontana label Merry Clayton released?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gimme Shelter"
],
"style": "rule"
} | {
"answer": [
"Gimme Shelter"
],
"id": "wikitq-02307",
"question": "Name an album that was released before the celebration for Merry Clayton?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Keep Your Eye on the Sparrow"
],
"style": "rule"
} | {
"answer": [
"Keep Your Eye on the Sparrow"
],
"id": "wikitq-02308",
"question": "Which Merry Clayton album ranked higher in the US, Merry Clayton or Keep Your Eye on the Sparrow?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ode"
],
"style": "rule"
} | {
"answer": [
"Ode"
],
"id": "wikitq-02309",
"question": "The only label that shares multiple albums is Merry Clayton's?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1969"
],
"style": "rule"
} | {
"answer": [
"1969"
],
"id": "wikitq-02310",
"question": "What year was Clayton's first album Merry Clayton released?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02311",
"question": "How many albums have been recorded on the Ode label for Merry Clayton?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02312",
"question": "Number of albums released under the ode label for Merry Clayton ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"16"
],
"style": "rule"
} | {
"answer": [
"16"
],
"id": "wikitq-02313",
"question": "How many TV shows has Natalia Oreiro starred in?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2012-2013"
],
"style": "rule"
} | {
"answer": [
"2012-2013"
],
"id": "wikitq-02314",
"question": "Under Natalia Oreiro, what years is Natalia Oreiro on the show Lynch?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02315",
"question": "How many Canal 9 shows has this actress starred as Natalia Oreiro?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02329",
"question": "How many tracks were driven in the 1995 IndyCar 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": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikitq-02330",
"question": "In the 1995 IndyCar season, how many races did Michael Andretti take pole?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"18736"
],
"style": "rule"
} | {
"answer": [
"18736"
],
"id": "wikitq-02331",
"question": "What is the difference between the November 7th and October 17th attendance figures for the 2009 Utah Utes 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": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikitq-02332",
"question": "How many 2009 Utah Utes football team games were attended by 50,000 or more fans?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14"
],
"style": "rule"
} | {
"answer": [
"14"
],
"id": "wikitq-02333",
"question": "Among the historically brightest stars, how many stars are greater than zero in magnitude?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02334",
"question": "Among the historically brightest stars, how many stars have a current magnitude of at least 1.0?",
"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": [
"26.0"
],
"style": "rule"
} | {
"answer": [
"26.0"
],
"id": "wikitq-02335",
"question": "How much farther -lrb- in ly -rrb- is Epsilon Canis Major than Zeta Sagittarius among the brightest stars in 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": [
"9"
],
"style": "rule"
} | {
"answer": [
"9"
],
"id": "wikitq-02336",
"question": "Among the historically brightest stars, how many stars are at most 30 light-years away or more?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"491.4"
],
"style": "rule"
} | {
"answer": [
"491.4"
],
"id": "wikitq-02337",
"question": "What is the difference between the nearest current distance and the farthest current distance between the historically brightest stars?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikitq-02338",
"question": "Among the historically brightest stars, how many stars do not have current magnitudes greater than zero?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Canopus (fourth time)"
],
"style": "rule"
} | {
"answer": [
"Canopus (fourth time)"
],
"id": "wikitq-02339",
"question": "Among the historically brightest stars, which star is at the greatest distance?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Beta Cygni"
],
"style": "rule"
} | {
"answer": [
"Beta Cygni"
],
"id": "wikitq-02340",
"question": "Among the historically brightest stars, which is the only star that has a maximum distance of 80?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Indira Gandhi Peace Prize for Disarmament and Development"
],
"style": "rule"
} | {
"answer": [
"Indira Gandhi Peace Prize for Disarmament and Development"
],
"id": "wikitq-02341",
"question": "What award was previously won just before the Medaglia Pontificia Anno XIII was awarded to Sam Nujoma?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"29"
],
"style": "rule"
} | {
"answer": [
"29"
],
"id": "wikitq-02342",
"question": "What was the total number of honors/award titles listed for Sam Nujoma according to this 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": [
"Sir Seretse Khama SADC Meda"
],
"style": "rule"
} | {
"answer": [
"Sir Seretse Khama SADC Meda"
],
"id": "wikitq-02343",
"question": "What was the name of the honorary/award title after the International Kim Il Sung Award Certificate for Sam Nujoma?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sir Seretse Khama SADC Meda"
],
"style": "rule"
} | {
"answer": [
"Sir Seretse Khama SADC Meda"
],
"id": "wikitq-02344",
"question": "What was the last award nujoma won under Sam Nujoma?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02345",
"question": "The Institute for Governance and Social Research Fellowship Award was presented in 2003 or 2004 under Sam Nujoma. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Romania"
],
"style": "rule"
} | {
"answer": [
"Romania"
],
"id": "wikitq-02346",
"question": "What is the sam nujoma, did nujoma win the obffs award in romania or ghana?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sir Seretse Khama SADC Meda"
],
"style": "rule"
} | {
"answer": [
"Sir Seretse Khama SADC Meda"
],
"id": "wikitq-02347",
"question": "What is the last award Sam Nujoma received?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1988"
],
"style": "rule"
} | {
"answer": [
"1988"
],
"id": "wikitq-02348",
"question": "Which year of Sam Nujoma received the most honors/honors?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"29"
],
"style": "rule"
} | {
"answer": [
"29"
],
"id": "wikitq-02349",
"question": "How many awards has Sam Nujoma won in total under Sam Nujoma?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02350",
"question": "How many times has Sam Nujoma's award been \"recognized\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02351",
"question": "What is the difference between the number of awards won in 1988 and the number of awards won in 1995 for Sam Nujoma?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02358",
"question": "From the National Basketball Association's list of jersey numbers, how many numbers did the New York Knicks retire?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Boston Celtics"
],
"style": "rule"
} | {
"answer": [
"Boston Celtics"
],
"id": "wikitq-02359",
"question": "Which team appears most often in this chart for retired National Basketball Association jersey numbers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"26"
],
"style": "rule"
} | {
"answer": [
"26"
],
"id": "wikitq-02360",
"question": "How many different teams are represented in the National Basketball Association Retired Player Jersey Number Chart?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02361",
"question": "From the National Basketball Association's list of retired jersey numbers, how many Chicago Bulls have a retired NBA 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": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikitq-02362",
"question": "From the list of National Basketball Association jersey numbers, how many teams have retired a number worn by Charles Barkley?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Boston Celtics"
],
"style": "rule"
} | {
"answer": [
"Boston Celtics"
],
"id": "wikitq-02363",
"question": "From the National Basketball Association list of retired jersey numbers, which of the listed teams has the most players inducted into the Hall of Fame according to this chart?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Superettan"
],
"style": "rule"
} | {
"answer": [
"Superettan"
],
"id": "wikitq-02364",
"question": "In which division has the team played most often in Ljungskile SK?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02365",
"question": "How many different divisions has the team participated in, Ljungskile SK ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14"
],
"style": "rule"
} | {
"answer": [
"14"
],
"id": "wikitq-02366",
"question": "From the list of highest mountains, how many mountains are more than 8,000 meters high?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lhotse"
],
"style": "rule"
} | {
"answer": [
"Lhotse"
],
"id": "wikitq-02367",
"question": "Which mountain among the highest mountains has a greater height, Lhotse or Makalu?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02371",
"question": "What is the 1988-89 FA Cup tie between Darlington and Notts County, both played in what tie first round?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"12"
],
"style": "rule"
} | {
"answer": [
"12"
],
"id": "wikitq-02372",
"question": "How many replays were there in the first round in November 1988 in the 1988/89 FA 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": [
"12"
],
"style": "rule"
} | {
"answer": [
"12"
],
"id": "wikitq-02373",
"question": "How many replays were there for the 1988–89 FA Cup?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6"
],
"style": "rule"
} | {
"answer": [
"6"
],
"id": "wikitq-02374",
"question": "How many total matches were played from the 1988-1989 FA Cup on 22 November 1988?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Niamh Whelan"
],
"style": "rule"
} | {
"answer": [
"Niamh Whelan"
],
"id": "wikitq-02375",
"question": "Which player from Ireland will compete in the 2010 European Women's 200m 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": [
"Yelizaveta Bryzhina"
],
"style": "rule"
} | {
"answer": [
"Yelizaveta Bryzhina"
],
"id": "wikitq-02376",
"question": "The first person to finish the 1st run of the 2010 European Athletics Championships - women's 200 meters?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yelizaveta Bryzhina"
],
"style": "rule"
} | {
"answer": [
"Yelizaveta Bryzhina"
],
"id": "wikitq-02377",
"question": "Who is the first player in the 2010 European Athletics Championships - Women's 200 meters?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"24.13"
],
"style": "rule"
} | {
"answer": [
"24.13"
],
"id": "wikitq-02378",
"question": "How long did it take Elin Backman to finish the race at the 2010 European Athletics Championships - women's 200 meters?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yelizaveta Bryzhina"
],
"style": "rule"
} | {
"answer": [
"Yelizaveta Bryzhina"
],
"id": "wikitq-02379",
"question": "Name of the athlete who took first place in the first round of the women's 200 meters at the 2010 European Athletics 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": [
"Elin Backman"
],
"style": "rule"
} | {
"answer": [
"Elin Backman"
],
"id": "wikitq-02380",
"question": "Which woman came after Sabina Veit at the European Athletics Championships 2010 – women's 200 meters?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02385",
"question": "How many reigns has Keiji had for the IWGP Heavyweight 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": [
"25"
],
"style": "rule"
} | {
"answer": [
"25"
],
"id": "wikitq-02386",
"question": "How long were the combined days for Genichiro Tenryu of the IWGP Heavyweight 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": [
"Shinya Hashimoto",
"Kazuyuki Fujita",
"Big Van Vader",
"Shinsuke Nakamura",
"Riki Chōshū"
],
"style": "rule"
} | {
"answer": [
"Shinya Hashimoto",
"Kazuyuki Fujita",
"Big Van Vader",
"Shinsuke Nakamura",
"Riki Chōshū"
],
"id": "wikitq-02387",
"question": "Under the IWGP Heavyweight Championships, each of these wrestlers came from a 3 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kensuke Sasaki"
],
"style": "rule"
} | {
"answer": [
"Kensuke Sasaki"
],
"id": "wikitq-02388",
"question": "Who is the only wrestler in the IWGP Heavyweight Championship with 5 regents?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"12"
],
"id": "wikitq-02389",
"question": "What combined defenses does Yuji Nagata have in the IWGP Heavyweight 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": [
"Brock Lesnar",
"Yoshihiro Takayama",
"Togi Makabe",
"Nobuhiko Takada",
"Bob Sapp",
"Salman Hashimikov",
"Tadao Yasuda",
"Manabu Nakanishi",
"Masahiro Chono",
"Genichiro Tenryu"
],
"style": "rule"
} | {
"answer": [
"Brock Lesnar",
"Yoshihiro Takayama",
"Togi Makabe",
"Nobuhiko Takada",
"Bob Sapp",
"Salman Hashimikov",
"Tadao Yasuda",
"Manabu Nakanishi",
"Masahiro Chono",
"Genichiro Tenryu"
],
"id": "wikitq-02390",
"question": "What is the name of Antonio Inoki from Rei... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1219"
],
"style": "rule"
} | {
"answer": [
"1219"
],
"id": "wikitq-02391",
"question": "The difference between 1 rank defense and days for the IWGP Heavyweight 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": [
"18"
],
"style": "rule"
} | {
"answer": [
"18"
],
"id": "wikitq-02392",
"question": "What is the difference in combined defense between Hiroshi Tanahashi and Kensuke Sasaki at the IWGP Heavyweight 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": [
"Sweden"
],
"style": "rule"
} | {
"answer": [
"Sweden"
],
"id": "wikitq-02393",
"question": "Who came next after Turkey in the 1995 World Wrestling 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": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikitq-02394",
"question": "At the 1995 World Wrestling Championships, how many gold medals did Japan and France each 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": [
"Germany"
],
"style": "rule"
} | {
"answer": [
"Germany"
],
"id": "wikitq-02395",
"question": "Which nation was not in the top 10 Iran or Germany at the 1995 World Wrestling 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": [
"Russia"
],
"style": "rule"
} | {
"answer": [
"Russia"
],
"id": "wikitq-02396",
"question": "Which country had the most medals at the 1995 World Wrestling 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": [
"6"
],
"style": "rule"
} | {
"answer": [
"6"
],
"id": "wikitq-02397",
"question": "How many combined gold medals did Japan and France win at the 1995 World Wrestling 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": [
"Uzbekistan"
],
"style": "rule"
} | {
"answer": [
"Uzbekistan"
],
"id": "wikitq-02398",
"question": "Which country won only one medal, a bronze medal, at the 1995 World Wrestling 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikitq-02399",
"question": "What is the total number of nations with more than 5 bronze medals at the 1995 World Wrestling 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": [
"Russia"
],
"style": "rule"
} | {
"answer": [
"Russia"
],
"id": "wikitq-02400",
"question": "Who won more gold medals at the 1995 World Wrestling Championships than the United States?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikitq-02401",
"question": "How many silver medals did Turkey win at the 1995 World Wrestling 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": [
"10"
],
"style": "rule"
} | {
"answer": [
"10"
],
"id": "wikitq-02402",
"question": "How many gold medals did this country win in France at the 1932 Summer Olympics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02403",
"question": "How many total weightlifting gold medals were won in France at the 1932 Summer Olympics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Cycling"
],
"style": "rule"
} | {
"answer": [
"Cycling"
],
"id": "wikitq-02404",
"question": "Which event in France at the 1932 Summer Olympics won the most medals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tommy Green"
],
"style": "rule"
} | {
"answer": [
"Tommy Green"
],
"id": "wikitq-02405",
"question": "Who was the only athlete from Great Britain in the 1932 Summer Olympics - men's 50 km walk?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ettore Rivolta"
],
"style": "rule"
} | {
"answer": [
"Ettore Rivolta"
],
"id": "wikitq-02406",
"question": "Which athletics competitor at the 1932 Summer Olympics - men's 50 km walk finished immediately after Karl Hahnel?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bill Chisholm"
],
"style": "rule"
} | {
"answer": [
"Bill Chisholm"
],
"id": "wikitq-02407",
"question": "Which competitor from the United States had the longest time in track and field at the 1932 Summer Olympics - men's 50 km walk?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-02408",
"question": "What is the total number of cultivars listed in the table for camellia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tom Knudsen"
],
"style": "rule"
} | {
"answer": [
"Tom Knudsen"
],
"id": "wikitq-02409",
"question": "Among the camellia, what is the only plant with deep red flower color?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Leonard Messel"
],
"style": "rule"
} | {
"answer": [
"Leonard Messel"
],
"id": "wikitq-02410",
"question": "Is Leonard Messel or Royal taller under Camellia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Cornish Spring"
],
"style": "rule"
} | {
"answer": [
"Cornish Spring"
],
"id": "wikitq-02411",
"question": "What is Spring Festival and what other flowers -lrb- s -rrb- are pink under the camellia?",
"split": "train"
} |
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