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-07557",
"question": "How many elapsed times were posted for the yacht at 27.38 LOA meters for the 2009 Line Honors results Sydney to Hobart Yacht Race (Top 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": [
"Stephen Ainsworth"
],
"style": "rule"
} | {
"answer": [
"Stephen Ainsworth"
],
"id": "wikisql-07558",
"question": "Which skipper has the sail number out of 60000 for the 2009 Sydney to Hobart Yacht Race Line Honors Results (Top 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": [
"NSW"
],
"style": "rule"
} | {
"answer": [
"NSW"
],
"id": "wikisql-07574",
"question": "What are all the states/nations where start number 36 is for the 2006 Line Honors results Sydney to Hobart Yacht Race (top 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": [
"16.57"
],
"style": "rule"
} | {
"answer": [
"16.57"
],
"id": "wikisql-07578",
"question": "What was the LOA (meters) of the yacht skippered by Jez Fanstone in 2004? Sydney to Hobart Yacht Race's Line Honors Results Top 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": [
"Matt Allen"
],
"style": "rule"
} | {
"answer": [
"Matt Allen"
],
"id": "wikisql-07579",
"question": "Who skippered the yacht with an elapsed time of 3:07:39:33 in 2004 Sydney to Hobart Yacht Race's Line Honors Results (Top 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": [
"3:12:44:17"
],
"style": "rule"
} | {
"answer": [
"3:12:44:17"
],
"id": "wikisql-07580",
"question": "What was the elapsed time for the Farr 65 yacht in the 2004 Sydney to Hobart Yacht Race Line Honors results (Top 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": [
"A99"
],
"style": "rule"
} | {
"answer": [
"A99"
],
"id": "wikisql-07581",
"question": "In the 2004 Sydney to Hobart Yacht Race Line Honors results (Top 10), which sail number had an elapsed time of 2:22:30:42?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"NSW"
],
"style": "rule"
} | {
"answer": [
"NSW"
],
"id": "wikisql-07582",
"question": "From the 2004 Line Honors results from the Sydney to Hobart Yacht Race (Top 10), from which state/country was the yacht that had an elapsed time of 3:04:06:38?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"NSW"
],
"style": "rule"
} | {
"answer": [
"NSW"
],
"id": "wikisql-07583",
"question": "From which state/country was the yacht that had 15.79 LOA (metres) in the top 10 Line Honors results 2004 Sydney to Hobart Yacht Race?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ibrahim and Maria"
],
"style": "rule"
} | {
"answer": [
"Ibrahim and Maria"
],
"id": "wikisql-07667",
"question": "Who was the second couple for the episode with an ITV1 ranking of 29 for Take Me Out (UK game show) series 1?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"29"
],
"style": "rule"
} | {
"answer": [
"29"
],
"id": "wikisql-07668",
"question": "What is the maximum weekly ITV1 ranking for series 1 of the Take Me Out UK game show?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4.74"
],
"style": "rule"
} | {
"answer": [
"4.74"
],
"id": "wikisql-07669",
"question": "How many viewers for the episode of Take Me Out (UK game show) featuring a fourth pair of Tony and Jamie Series 1?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Arton and Crystal"
],
"style": "rule"
} | {
"answer": [
"Arton and Crystal"
],
"id": "wikisql-07670",
"question": "Who was the first couple in the series 1 episode of Take Me Out (UK game show) to have a fourth couple Sammy and Nat?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"19"
],
"style": "rule"
} | {
"answer": [
"19"
],
"id": "wikisql-07671",
"question": "What is the ITV1 minimum rating for the episode of Take Me Out (UK game show) with a viewership of 5.42 million series 1?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-07672",
"question": "How many episode numbers are there in the series whose first couple were Stuart and Pegah from the second series of Take Me Out (British game show)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Andrew and Peggy"
],
"style": "rule"
} | {
"answer": [
"Andrew and Peggy"
],
"id": "wikisql-07673",
"question": "Who was the third couple watched by 4.89 million viewers on series 2 of Take Me Out (UK game show)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Another Happy Day"
],
"style": "rule"
} | {
"answer": [
"Another Happy Day"
],
"id": "wikisql-07690",
"question": "What is the title of the Hong Kong episode of series 3 of Spearhead (TV Series) that aired on August 13, 1981?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikisql-07694",
"question": "How many maximum points did Curtis score in 1905 Michigan Wolverines Football Team Michigan 65 Ohio Wesleyan 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": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikisql-07697",
"question": "What were the fullback player's minimum touchdowns for the Michigan 65, Ohio Wesleyan 0 of the 1905 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": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikisql-07698",
"question": "Michigan 70 Albion 0, 1905 Wolverines Football Team How many touchdowns did the full-back score?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-07699",
"question": "How many numbers are provided for Weeks field goals of Michigan 70, Albion 0, Michigan Wolverines Football Team 1905?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07700",
"question": "What is the most points scored for a right halfback in Michigan 70 Albion 0 1905 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": [
"Curtis"
],
"style": "rule"
} | {
"answer": [
"Curtis"
],
"id": "wikisql-07702",
"question": "In the 1905 Michigan Wolverines football team's Michigan 70 Albion 0 game, which player was in left tackle position?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Toby Haynes"
],
"style": "rule"
} | {
"answer": [
"Toby Haynes"
],
"id": "wikisql-07725",
"question": "Who directed Episode 2 of Series 1 (2009) under List of Being Human episodes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07726",
"question": "How many episodes did Being Human have 797,000 viewers in Season 1 (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": [
"Toby Whithouse"
],
"style": "rule"
} | {
"answer": [
"Toby Whithouse"
],
"id": "wikisql-07727",
"question": "Among the episodes of Being Human, who directed the episode of Colin Teague S Series 1 (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": [
"23.8"
],
"style": "rule"
} | {
"answer": [
"23.8"
],
"id": "wikisql-07741",
"question": "What were the points per game in the selection that had a 15.0 rebounds per game in the Dwight Howard's Conference Player of the Month Selections career achievements 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": [
"2.4"
],
"style": "rule"
} | {
"answer": [
"2.4"
],
"id": "wikisql-07742",
"question": "How high were the blocks per game in Dwight Howard's Conference Player of the Month selection in Career Achievements, where the field goal percentage was 594 (2nd)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Victor French Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Victor French Category:Articles with hCards"
],
"id": "wikisql-07754",
"question": "From the list of Gunsmoke TV episodes from season 20 (1974 75), on which episode was episode number 626 of the series Gunsmoke filmed?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"John Meston Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"John Meston Category:Articles with hCards"
],
"id": "wikisql-07755",
"question": "List of Gunsmoke TV Episodes in Season 24, who are all the writers **Season 3 (1957 58)**?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
" Widow`s Mite "
],
"style": "rule"
} | {
"answer": [
" Widow`s Mite "
],
"id": "wikisql-07756",
"question": "What is the title of the episode in the list of Season 3 (1957 58) Gunsmoke television episodes aired May 10, 1958?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
" Gentleman`s Disagreement "
],
"style": "rule"
} | {
"answer": [
" Gentleman`s Disagreement "
],
"id": "wikisql-07758",
"question": "What is the title of Season 5 (1959 60) of Gunsmoke TV Episode #33?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07759",
"question": "How many directors worked on #158 Gunsmoke TV Episodes Season 5 1959 60?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07760",
"question": "For season 1 of Gunsmoke TV episodes, how many writers were under season 4 (1958 59)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ted Post Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Ted Post Category:Articles with hCards"
],
"id": "wikisql-07761",
"question": "Who directed Season 4 (1958-59) of the Gunsmoke TV episodes on May 2, 1959?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8529"
],
"style": "rule"
} | {
"answer": [
"8529"
],
"id": "wikisql-07824",
"question": "What is the smallest number of runs for most career runs by Sri Lanka One Day International Cricket Records?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"433"
],
"style": "rule"
} | {
"answer": [
"433"
],
"id": "wikisql-07825",
"question": "How many innings are there if the average is 32.3 in the Sri Lanka One Day International Cricket Records most career runs 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": [
"38.33"
],
"style": "rule"
} | {
"answer": [
"38.33"
],
"id": "wikisql-07826",
"question": "What has been the average in most career runs of One Day International Cricket Sri Lanka when the batting average is 75.78?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"244"
],
"style": "rule"
} | {
"answer": [
"244"
],
"id": "wikisql-07827",
"question": "What is the maximum catch count in the Sri Lanka One Day International Cricket Records Most Dismissals (Cats plus Stumpings) list in ODI career?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"39"
],
"style": "rule"
} | {
"answer": [
"39"
],
"id": "wikisql-07828",
"question": "If the player is Hashan Tillakaratne's most dismissals (catches plus stumpings) in his ODI career, what is the minimum catches in the Sri Lanka One Day International Cricket Records 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": [
"1986–2003"
],
"style": "rule"
} | {
"answer": [
"1986–2003"
],
"id": "wikisql-07829",
"question": "What is the period when player Hashan Tillakaratne is in one day list of Sri Lanka International Cricket Records for most dismissals (catches plus stumpings) in ODI career?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07830",
"question": "What is the total if the Hashan Tillakaratne catches under Sri Lanka One Day International cricket records for most redundancies plus ODI career stumbles?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07831",
"question": "If the catches are 131, what is the overall ranking from the Sri Lanka One Day International Cricket Records most dismissals (catches plus stumps) list in ODI career?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"39.69"
],
"style": "rule"
} | {
"answer": [
"39.69"
],
"id": "wikisql-07837",
"question": "How was Kumar Sangakkara's career highest average among Sri Lanka One Day International cricket records?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tillakaratne Dilshan"
],
"style": "rule"
} | {
"answer": [
"Tillakaratne Dilshan"
],
"id": "wikisql-07838",
"question": "Among Sri Lanka One Day International cricket records, who is the player with the highest career average of 36.74?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07839",
"question": "What is the rank of the player in the list of Sri Lanka One Day International Cricket Records with highest career averages of 39.69?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"102"
],
"style": "rule"
} | {
"answer": [
"102"
],
"id": "wikisql-07840",
"question": "From which list of Sri Lanka One Day International Cricket records the highest career average, what is the lowest number of games for a record holder?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Studio 23 Baler (Channel-36)"
],
"style": "rule"
} | {
"answer": [
"Studio 23 Baler (Channel-36)"
],
"id": "wikisql-07846",
"question": "What is the DWBA-TV call sign branding among ABS-CBN Corporation channels and stations in Studio 23's listing?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tacloban ***"
],
"style": "rule"
} | {
"answer": [
"Tacloban ***"
],
"id": "wikisql-07848",
"question": "Which location has a power of 5 kW (10 kW ERP) in the list of channels and transmitters of ABS-CBN Corporation Studio 23?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1kW (8.45kW ERP)"
],
"style": "rule"
} | {
"answer": [
"1kW (8.45kW ERP)"
],
"id": "wikisql-07849",
"question": "What is the power in kW of TV-23's call sign DYCG-TV for the ABS-CBN Corporation Studio 23 Channels and Transmitters 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": [
"10kW"
],
"style": "rule"
} | {
"answer": [
"10kW"
],
"id": "wikisql-07850",
"question": "How does the General Santos region perform for ABS-CBN Corporation channels and transmitters?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"MOR 94.3 Tacloban For Life!"
],
"style": "rule"
} | {
"answer": [
"MOR 94.3 Tacloban For Life!"
],
"id": "wikisql-07851",
"question": "What bran is the callsign dytc-fm under ABS-CBN Corporation's List of Channels and Stations: Regional ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"91.9MHz"
],
"style": "rule"
} | {
"answer": [
"91.9MHz"
],
"id": "wikisql-07852",
"question": "What frequency is the DXEC-FM channel on in the ABS-CBN Corporation's list of regional channels and 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": [
"Hannover Marathon"
],
"style": "rule"
} | {
"answer": [
"Hannover Marathon"
],
"id": "wikisql-07886",
"question": "Which race takes place in Germany in the month of May under the Bronze Label of the IAAF Road Race Label 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-07887",
"question": "How many times a year does the Brighton Marathon take place under the Bronze Label of the IAAF Road Race Label 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-07889",
"question": "How many times a year does the Paris 20km road race take place among the IAAF Road Race Bronze Label 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": [
"Siberian International Marathon"
],
"style": "rule"
} | {
"answer": [
"Siberian International Marathon"
],
"id": "wikisql-07890",
"question": "What is the name of the road race held in Omsk, Russia under the Bronze Label of the IAAF Road Race Label 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": [
"Istanbul"
],
"style": "rule"
} | {
"answer": [
"Istanbul"
],
"id": "wikisql-07897",
"question": "Where was the Istanbul Marathon among the Gold Label 2016 IAAF Road Race Label 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": [
"Berlin"
],
"style": "rule"
} | {
"answer": [
"Berlin"
],
"id": "wikisql-07900",
"question": "In which city did the Berlin Marathon take place in the Gold Label IAAF Road Race Label 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-07901",
"question": "How many races have been in Fukuoka, Japan under the Gold Label of IAAF Road Race Label 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": [
"Salve Regina University"
],
"style": "rule"
} | {
"answer": [
"Salve Regina University"
],
"id": "wikisql-07905",
"question": "What is the New England Football Conference institution nicknamed the Seahawks among the current members?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Red & Silver"
],
"style": "rule"
} | {
"answer": [
"Red & Silver"
],
"id": "wikisql-07906",
"question": "What colors are the Engineers nicknames among current members of the New England Football Conference?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-07907",
"question": "How Many of the New England Football Conference Are Blue & Gold Colors: Current Members",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Massachusetts Institute of Technology (MIT)"
],
"style": "rule"
} | {
"answer": [
"Massachusetts Institute of Technology (MIT)"
],
"id": "wikisql-07908",
"question": "What is the institution nicknamed Engineers among the current members of the New England Football Conference?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1459"
],
"style": "rule"
} | {
"answer": [
"1459"
],
"id": "wikisql-07909",
"question": "What is the Green & Black enrollment among current members of the New England Football Conference?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-07935",
"question": "If the new points for the 2011 Australian Open were 5760, what is the RK among men's singles?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07936",
"question": "How many times has Stanislas Wawrinka been listed in Australian Open 2011 men's singles?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1535"
],
"style": "rule"
} | {
"answer": [
"1535"
],
"id": "wikisql-07937",
"question": "If points gained was 90 and points defended was 45 for Australian Open 2011 men's singles, what are the new 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-07938",
"question": "How often was it 6675 points for the Australian Open 2011 in women's singles?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"280"
],
"style": "rule"
} | {
"answer": [
"280"
],
"id": "wikisql-07939",
"question": "What is the lowest score won by player Victoria Azarenka in women's singles at Australian Open 2011?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Second round lost to Vesna Manasieva"
],
"style": "rule"
} | {
"answer": [
"Second round lost to Vesna Manasieva"
],
"id": "wikisql-07940",
"question": "What is the status if SD is 15 for Australian Open 2011?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1836"
],
"style": "rule"
} | {
"answer": [
"1836"
],
"id": "wikisql-07950",
"question": "When was Alfred University founded among the former members of the Presidents' Athletic Conference?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bethany, West Virginia"
],
"style": "rule"
} | {
"answer": [
"Bethany, West Virginia"
],
"id": "wikisql-07951",
"question": "Name where Bethany College is in the current members of the Presidents' Athletic Conference?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Beaver Falls, Pennsylvania"
],
"style": "rule"
} | {
"answer": [
"Beaver Falls, Pennsylvania"
],
"id": "wikisql-07952",
"question": "Name the location among the Presidents' Athletic Conference for Golden Tornados among the current members?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07953",
"question": "What is the number of locations for Geneva College among the current members of the President's Athletic Conference?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1066"
],
"style": "rule"
} | {
"answer": [
"1066"
],
"id": "wikisql-07954",
"question": "Do you provide enrollment for current members for the Presidents' Athletic Conference for hangovers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"University of St. Francis (IL)"
],
"style": "rule"
} | {
"answer": [
"University of St. Francis (IL)"
],
"id": "wikisql-07998",
"question": "Name the town founded in 1920 for the Mid-States Football Association in the list of current members. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Private"
],
"style": "rule"
} | {
"answer": [
"Private"
],
"id": "wikisql-07999",
"question": "Name the type of Mid-States Football Association that joined in 2007 among current members. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Iowa Wesleyan College"
],
"style": "rule"
} | {
"answer": [
"Iowa Wesleyan College"
],
"id": "wikisql-08000",
"question": "Which school joined the 1996-97 conference and left in 2011-12 among the former members of the Mid-States Football Association?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mount Pleasant, Iowa"
],
"style": "rule"
} | {
"answer": [
"Mount Pleasant, Iowa"
],
"id": "wikisql-08001",
"question": "What locality has a school with 850 enrolled alumni of the Mid-States Football Association?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-08002",
"question": ": How many of the former Mid-States Football Association members left the school in 2002-03?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Canton, Ohio"
],
"style": "rule"
} | {
"answer": [
"Canton, Ohio"
],
"id": "wikisql-08003",
"question": "What city has a school whose nickname among past members is Pioneers for Mid-States Football Association?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Private"
],
"style": "rule"
} | {
"answer": [
"Private"
],
"id": "wikisql-08004",
"question": "What kind of school is nicknamed the Oilers among former members of the Mid-States Football Association?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-08005",
"question": "How many locations has a school nicknamed the \"Panthers\" by former members of the Mid-States Football Association?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikisql-08030",
"question": "Name the Velasco brothers' performance order among the results of Pilipina's Got Talent (Season 1)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-08032",
"question": "Name the performance order of Pilipinas Got Talent (Season 1) for 2.15% below Pilipinas 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": [
"7.27%"
],
"style": "rule"
} | {
"answer": [
"7.27%"
],
"id": "wikisql-08033",
"question": "What is the percentage of votes for 3rd place for Pilipina's Got Talent (Season 1) among the 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": [
"2.07%"
],
"style": "rule"
} | {
"answer": [
"2.07%"
],
"id": "wikisql-08034",
"question": "Among the results, give the percentage of votes for the violinist for Pilipina's Got Talent (Season 1)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Batangas"
],
"style": "rule"
} | {
"answer": [
"Batangas"
],
"id": "wikisql-08035",
"question": "What are all the hometowns where the median age of Pilipina's Got Talent (Season 1) Top 36 Results Summary is 16?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Wardle"
],
"style": "rule"
} | {
"answer": [
"David Wardle"
],
"id": "wikisql-08055",
"question": "When the U17 was Antonio Glez, who was the U13 among the US Junior Open Squash Championship boys?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Guillermo Cortes"
],
"style": "rule"
} | {
"answer": [
"Guillermo Cortes"
],
"id": "wikisql-08056",
"question": "Who was U13 in a year of Boys US Junior Open Squash Championship in 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": [
"Arturo Salazar Martinez"
],
"style": "rule"
} | {
"answer": [
"Arturo Salazar Martinez"
],
"id": "wikisql-08057",
"question": "When Julian Illingworth was under 19, who was under 15 for the US Junior Open Squash Championship boys?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-08059",
"question": "In how many years is Arturo Salazar Martinez U15 and Moises Galvez U19 of the US Junior Open Squash Championship boys?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mohamed El Shamy"
],
"style": "rule"
} | {
"answer": [
"Mohamed El Shamy"
],
"id": "wikisql-08060",
"question": "When the U11 boys were Aly Abou El Einen, who was the U13 in the US Junior Open Squash 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": [
"Reeham Sedky"
],
"style": "rule"
} | {
"answer": [
"Reeham Sedky"
],
"id": "wikisql-08074",
"question": "What is each U11 value when U17 value is Salma Nassar for U11 Girls US Junior Open Squash 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": [
"Reeham Sedky"
],
"style": "rule"
} | {
"answer": [
"Reeham Sedky"
],
"id": "wikisql-08075",
"question": "What is each U13 score when the U15 score is Maria Elena Ubina among the US Junior Open Squash Girls 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": [
"Amanda Sobhy"
],
"style": "rule"
} | {
"answer": [
"Amanda Sobhy"
],
"id": "wikisql-08076",
"question": "What is each U17 score when U15 Maria Elena Ubina is among the girls US Junior Open Squash 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": [
"unknown"
],
"style": "rule"
} | {
"answer": [
"unknown"
],
"id": "wikisql-08077",
"question": "What is each U11 score when U19 Leong Siu Lynn is among the US Junior Open Squash Championship girls?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Reeham Sedky"
],
"style": "rule"
} | {
"answer": [
"Reeham Sedky"
],
"id": "wikisql-08078",
"question": "Who is every U11 when U17 Salma Nassar is among the US Junior Open girls' squash 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": [
"Amanda Sobhy"
],
"style": "rule"
} | {
"answer": [
"Amanda Sobhy"
],
"id": "wikisql-08079",
"question": "Who is each U15 when U11 Reeham Sedky is among the girls in the US Junior Open Squash Championship?",
"split": "train"
} |
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