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": [
"Wednesday 8:30 pm"
],
"style": "rule"
} | {
"answer": [
"Wednesday 8:30 pm"
],
"id": "wikisql-28417",
"question": "How many times for Gary Unmarried from what timeslot is the episode with a 18-49 of 2.2/7 in Season 2: 2009-2010 weekly ratings?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Wednesday 8:30 pm"
],
"style": "rule"
} | {
"answer": [
"Wednesday 8:30 pm"
],
"id": "wikisql-28418",
"question": "What is the time slot for \"Gary Must Choose\" with a 18-49 out of 1.8/5 on Gary Unmarried Season 2 Weekly Ratings: 2009-2010?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Norway"
],
"style": "rule"
} | {
"answer": [
"Norway"
],
"id": "wikisql-28419",
"question": "From which country did Ole Ellefsæter come from among the Nordic skiers over 50 km?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Pål Tyldum"
],
"style": "rule"
} | {
"answer": [
"Pål Tyldum"
],
"id": "wikisql-28420",
"question": "Who won the 1972 FIS Nordic World Ski Championships men's 50 km?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"220686"
],
"style": "rule"
} | {
"answer": [
"220686"
],
"id": "wikisql-28421",
"question": "What is the money ($) for a country Spain for a place of t6 in the final round of the US Open (Golf) 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": [
"England"
],
"style": "rule"
} | {
"answer": [
"England"
],
"id": "wikisql-28422",
"question": "Which country will come out on top in the 2008 US Open (Golf) finals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Geoff Ogilvy"
],
"style": "rule"
} | {
"answer": [
"Geoff Ogilvy"
],
"id": "wikisql-28423",
"question": "Which player is from Australia and has a place of t9 in the final round of the US Open (Golf) 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": [
"T6"
],
"style": "rule"
} | {
"answer": [
"T6"
],
"id": "wikisql-28424",
"question": "What was the rank of player John Merrick in the 2008 US Open (golf) finals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"United States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-28425",
"question": "Which country had a place of t1 and a score of 72-68-70-73=283 for the US Open 2008 (Golf) in the finals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"T3"
],
"style": "rule"
} | {
"answer": [
"T3"
],
"id": "wikisql-28426",
"question": "What is Jack Renner's place as a first round player at the 1981 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-28427",
"question": "What about the United States as a country, t8 as a location and Tommy Valentine as a player for the first round of the 1981 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-28428",
"question": "What's up with 66 as a first round score at the 1981 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"–8"
],
"style": "rule"
} | {
"answer": [
"–8"
],
"id": "wikisql-28447",
"question": "How many saves were made in England's second round at the 1996 Masters Tournament?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"T3"
],
"style": "rule"
} | {
"answer": [
"T3"
],
"id": "wikisql-28448",
"question": "Who is David Frost from the second round of the 1996 Masters Tournament?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"South Africa"
],
"style": "rule"
} | {
"answer": [
"South Africa"
],
"id": "wikisql-28449",
"question": "Which country of the 1996 Masters tournament reached place T3 with a score of 70-68=138 Second 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": [
"England"
],
"style": "rule"
} | {
"answer": [
"England"
],
"id": "wikisql-28450",
"question": "Which country had a score of 69-67=136 in the second round of the Masters tournament in 1996?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikisql-28451",
"question": "How many is equal for Greg Norman in the second round of the 1996 Masters tournament?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-28461",
"question": "What is the highest number of laps with a time of +1:23.297/retired and a grid greater than 4 for the 2005 San Marino Grand Prix 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": [
"+1:10.258"
],
"style": "rule"
} | {
"answer": [
"+1:10.258"
],
"id": "wikisql-28462",
"question": "What is the time/retirement with a Toyota constructor and a 5 grid for the 2005 San Marino Grand Prix 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": [
"61.0"
],
"style": "rule"
} | {
"answer": [
"61.0"
],
"id": "wikisql-28463",
"question": "What is the average number of laps with 16 grids for the 2005 San Marino Grand Prix 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": [
"11 November 1995"
],
"style": "rule"
} | {
"answer": [
"11 November 1995"
],
"id": "wikisql-28466",
"question": "What day was the first round 1995-96 correct participation in the FA Cup which had a draw value of 40?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Brighton & Hove Albion"
],
"style": "rule"
} | {
"answer": [
"Brighton & Hove Albion"
],
"id": "wikisql-28467",
"question": "Who was the home team for the away game played by Canvey Island in the 1995/96 FA Cup first round?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"21 November 1995"
],
"style": "rule"
} | {
"answer": [
"21 November 1995"
],
"id": "wikisql-28468",
"question": "What day did Gillingham play at home in the 1995/96 FA Cup first round?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hard"
],
"style": "rule"
} | {
"answer": [
"Hard"
],
"id": "wikisql-28473",
"question": "What was Richard Gasquet's surface for opponent Marcos Baghdatis' singles: 20 (10-10) match?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikisql-28488",
"question": "In what round was Ken Irvin drafted in the 1995 Buffalo Bills season of the NFL Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-28489",
"question": "In what round was a Michigan player selected from the NFL draft list during the 1995 Buffalo Bills 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": [
"Chelmsford City"
],
"style": "rule"
} | {
"answer": [
"Chelmsford City"
],
"id": "wikisql-28496",
"question": "What was the away team when the Isthmian League second round attendance was 206 in 2007/08?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Heybridge Swifts"
],
"style": "rule"
} | {
"answer": [
"Heybridge Swifts"
],
"id": "wikisql-28497",
"question": "Who was the away team when the tie was 34 in the 2007/08 Isthmian League second 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": [
"Metropolitan Police"
],
"style": "rule"
} | {
"answer": [
"Metropolitan Police"
],
"id": "wikisql-28498",
"question": "From 2007/08 Isthmian League second round list, who was the away team when attendance was 76?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ashford Town (Kent)"
],
"style": "rule"
} | {
"answer": [
"Ashford Town (Kent)"
],
"id": "wikisql-28499",
"question": "Who was the Isthmian League home team in 2007/08 when the tie was 7 in the second 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": [
"24"
],
"style": "rule"
} | {
"answer": [
"24"
],
"id": "wikisql-28500",
"question": "What was the tie when the away team was East Thurrock United in the second round of Isthmian League 2007/08?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hougang Stadium"
],
"style": "rule"
} | {
"answer": [
"Hougang Stadium"
],
"id": "wikisql-28505",
"question": "Where was the Singapore Armed Forces FC 2008 pre-season friendlies game played on 23 January 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": [
"Hougang Stadium"
],
"style": "rule"
} | {
"answer": [
"Hougang Stadium"
],
"id": "wikisql-28507",
"question": "On January 23, 2008, where did the Singapore Armed Forces FC 2008 pre-season friendly take place?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Choa Chu Kang Stadium"
],
"style": "rule"
} | {
"answer": [
"Choa Chu Kang Stadium"
],
"id": "wikisql-28508",
"question": "Where is the venue of the friendly greater than 1 where the Super Reds were the opponents of the Singapore Armed Forces FC pre-season friendlies of the 2008 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tommy Aaron",
"Jerry Heard",
"Mac McLendon",
"Jerry Pate (a)",
"Sam Snead",
"Lee Trevino",
"Larry Ziegler"
],
"style": "rule"
} | {
"answer": [
"Tommy Aaron",
"Jerry Heard",
"Mac McLendon",
"Jerry Pate (a)",
"Sam Snead",
"Lee Trevino",
"Larry Ziegler"
],
"id": "wikisql-28516",
"question": "Which player in the first round of the 1975 Masters tournament scored 71 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": [
"25 November 1950"
],
"style": "rule"
} | {
"answer": [
"25 November 1950"
],
"id": "wikisql-28521",
"question": "On what date was the away team in the first round of the 1950/51 FA Cup, Team Gillingham?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1–2"
],
"style": "rule"
} | {
"answer": [
"1–2"
],
"id": "wikisql-28522",
"question": "What was the 1950-51 first round correct score for a no? 21 draws for the 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": [
"25 November 1950"
],
"style": "rule"
} | {
"answer": [
"25 November 1950"
],
"id": "wikisql-28523",
"question": "From 1950 to 1951 First Round Proper FA Cup when was the away team Southport?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1–1"
],
"style": "rule"
} | {
"answer": [
"1–1"
],
"id": "wikisql-28524",
"question": "What was the 1950–51 Proper FA Cup first round result for away team Southport?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"August 3–7, 2011"
],
"style": "rule"
} | {
"answer": [
"August 3–7, 2011"
],
"id": "wikisql-28533",
"question": "What is the date of the city of \"Punta Del Este\" for Season 4 of the Latin American Poker Tour?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Viña del Mar"
],
"style": "rule"
} | {
"answer": [
"Viña del Mar"
],
"id": "wikisql-28534",
"question": "What is the Latin American Poker Tour City if the season 4 prize is \"$146,000\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"March 17–20, 2011"
],
"style": "rule"
} | {
"answer": [
"March 17–20, 2011"
],
"id": "wikisql-28535",
"question": "What date is \"Murilo Figueiredo\" the Season 4 winner of the Latin American Poker Tour?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sunderland"
],
"style": "rule"
} | {
"answer": [
"Sunderland"
],
"id": "wikisql-28564",
"question": "What is home team if date is '28 Jan 1984' and if tie no is '4' in 1983–84 FA Cup fourth 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": [
"28 January 1984"
],
"style": "rule"
} | {
"answer": [
"28 January 1984"
],
"id": "wikisql-28565",
"question": "What is the date the away team 'Gillingham' is in the 1983-84 FA Cup fourth 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": [
"Derby County"
],
"style": "rule"
} | {
"answer": [
"Derby County"
],
"id": "wikisql-28566",
"question": "What is home team if date is '1 February 1984' and if tie no is '5' in 1983/84 FA Cup fourth 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": [
"Coventry City"
],
"style": "rule"
} | {
"answer": [
"Coventry City"
],
"id": "wikisql-28567",
"question": "What is the away team if the home team is 'Sheffield Wednesday' for the 1983-84 FA Cup fourth 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": [
"31 January 1984"
],
"style": "rule"
} | {
"answer": [
"31 January 1984"
],
"id": "wikisql-28568",
"question": "What is the date when Tie No is \"Replay\" and when is the away team \"Crystal Palace\" for the 1983-84 FA Cup Fourth 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": [
"+22"
],
"style": "rule"
} | {
"answer": [
"+22"
],
"id": "wikisql-28569",
"question": "What does Tom Kite have to offer as a player under the 1999 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Watson"
],
"style": "rule"
} | {
"answer": [
"Tom Watson"
],
"id": "wikisql-28570",
"question": "Which player made the cut with a t57 as a finish at the 1999 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"302"
],
"style": "rule"
} | {
"answer": [
"302"
],
"id": "wikisql-28571",
"question": "What is the lowest total won in 1992 as year(s) for the 1999 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Watson"
],
"style": "rule"
} | {
"answer": [
"Tom Watson"
],
"id": "wikisql-28572",
"question": "Which player achieved the best +21 at the 1999 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"T57"
],
"style": "rule"
} | {
"answer": [
"T57"
],
"id": "wikisql-28574",
"question": "Which finish did +21 manage as right for the 1999 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-28575",
"question": "For Fred Funk, how many events in total that had 34 cuts and 3 in top 10 in summary?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Grass"
],
"style": "rule"
} | {
"answer": [
"Grass"
],
"id": "wikisql-28578",
"question": "Which surface had a date after 1982 and partners Guy Forget under Kevin Currens doubles finals 53 26 27?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"W 34–31"
],
"style": "rule"
} | {
"answer": [
"W 34–31"
],
"id": "wikisql-28579",
"question": "What was the result of the Week 9 game for the Dallas Cowboys 1975 season schedule?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"60905"
],
"style": "rule"
} | {
"answer": [
"60905"
],
"id": "wikisql-28580",
"question": "What was the attendance during the November 16, 1975 game for the Dallas Cowboys 1975 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": [
"Canada"
],
"style": "rule"
} | {
"answer": [
"Canada"
],
"id": "wikisql-28594",
"question": "What's the country with Dave Barr in the second round of the 1985 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-28595",
"question": "What is the TO PAR with a T7 place, score of 72-67=139 and player Raymond Floyd in the second round of the 1985 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"T7"
],
"style": "rule"
} | {
"answer": [
"T7"
],
"id": "wikisql-28596",
"question": "Where was player Mark O'meara in the second round of the 1985 US Open (golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7928"
],
"style": "rule"
} | {
"answer": [
"7928"
],
"id": "wikisql-28603",
"question": "How many people are enrolled in the West Conference Mid-American Collegiate Hockey Association in Platteville, WI?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Pioneers"
],
"style": "rule"
} | {
"answer": [
"Pioneers"
],
"id": "wikisql-28604",
"question": "What is the Mid-American Collegiate Hockey Association team nickname for the University of Wisconsin-Platteville West 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": [
"at Boston Patriots"
],
"style": "rule"
} | {
"answer": [
"at Boston Patriots"
],
"id": "wikisql-28627",
"question": "What is the opponent's 1968 season schedule for the October 20 Buffalo Bills game?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Alvernia University"
],
"style": "rule"
} | {
"answer": [
"Alvernia University"
],
"id": "wikisql-28628",
"question": "Which institution is located in Reading, PA under the National Division of the Delaware Valley Collegiate Hockey 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": [
"Crusaders"
],
"style": "rule"
} | {
"answer": [
"Crusaders"
],
"id": "wikisql-28629",
"question": "What was the nickname for the school, founded in the National Division of the Delaware Valley Collegiate Hockey Conference in 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": [
"Jupiler League"
],
"style": "rule"
} | {
"answer": [
"Jupiler League"
],
"id": "wikisql-28632",
"question": "Which tournament took place on floor A with 8 rounds among the competitive matches of the 2008/09 season of RSC Anderlecht?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1-13"
],
"style": "rule"
} | {
"answer": [
"1-13"
],
"id": "wikisql-28633",
"question": "Which series of Agatha Christie's Poirot's Regular cast had the title rank from different ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Captain OBE"
],
"style": "rule"
} | {
"answer": [
"Captain OBE"
],
"id": "wikisql-28634",
"question": "What title rank does the actor who played the character of Arthur Hastings in series 1-8, 13 have among the regular cast of Agatha Christie's Poirot'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": [
"Captain OBE"
],
"style": "rule"
} | {
"answer": [
"Captain OBE"
],
"id": "wikisql-28635",
"question": "What title rank does the actor who played the character of Arthur Hastings in series 1-8, 13 have among the regular cast of Agatha Christie's Poirot'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": [
"Secretary"
],
"style": "rule"
} | {
"answer": [
"Secretary"
],
"id": "wikisql-28636",
"question": "What title rank does actress Pauline Moran have among the regular cast of Agatha Christie's Poirot?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hercule Poirot"
],
"style": "rule"
} | {
"answer": [
"Hercule Poirot"
],
"id": "wikisql-28637",
"question": "In the regular cast of Agatha Christie's Poirot, which character had a different title rank?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-28648",
"question": "How Many Oricons Under Yuki Uchida Have A Romaji Title By Rakuen - Memorial Tracks - (Maxi Single)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"KIDS-330"
],
"style": "rule"
} | {
"answer": [
"KIDS-330"
],
"id": "wikisql-28649",
"question": "What reference is used with the title Aishiteru among Yuki Uchida's single 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": [
"KIDS-340"
],
"style": "rule"
} | {
"answer": [
"KIDS-340"
],
"id": "wikisql-28650",
"question": "What is the reference for the Romani title da.i.su.ki among Yuki Uchida 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": [
"明日は明日の風が吹く"
],
"style": "rule"
} | {
"answer": [
"明日は明日の風が吹く"
],
"id": "wikisql-28651",
"question": "What title do the Japanese give to the Roma singles Ashita wa Ashita no Kaze ga Fuku for Yuki Uchida?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"45.95"
],
"style": "rule"
} | {
"answer": [
"45.95"
],
"id": "wikisql-28654",
"question": "What was the issue price for the Trumpeter Swan set of numismatic coins from the Royal Canadian Mint (2000s) under the Specimen Set Variant Dollars?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kerri Burnett"
],
"style": "rule"
} | {
"answer": [
"Kerri Burnett"
],
"id": "wikisql-28655",
"question": "Among the Specimen Set Variant Dollars, what was the artist of the Royal Canadian Mint (2000s) numismatic coins (mintage of 40,000 and an issue price of $45.95)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jonathan Hogg"
],
"style": "rule"
} | {
"answer": [
"Jonathan Hogg"
],
"id": "wikisql-28658",
"question": "Who is the Aston Villa U21 and Academy player who made 7 first-team appearances in the 2010s?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ongoing"
],
"style": "rule"
} | {
"answer": [
"Ongoing"
],
"id": "wikisql-28660",
"question": "How many first team goals in Aston Villa Academy and U21 players scores the team whose player is Samir Carruthers for 2010s?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Midfielder"
],
"style": "rule"
} | {
"answer": [
"Midfielder"
],
"id": "wikisql-28662",
"question": "What position had 7 first-team appearances for Aston Villa U21 and Academy under the 2010s?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Year of the Rat"
],
"style": "rule"
} | {
"answer": [
"Year of the Rat"
],
"id": "wikisql-28663",
"question": "What was the theme when the issue price of the Royal Canadian Mint (2000s) themed 18K Gold Proof Lunar Hologram Coin Series numismatic coins was $508.95?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4888"
],
"style": "rule"
} | {
"answer": [
"4888"
],
"id": "wikisql-28664",
"question": "What was the minting when the theme was the Year of the Rabbit in the Royal Canadian Mint (2000s) 18K Gold Proof Lunar Hologram Coin Series numismatic coin series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2007"
],
"style": "rule"
} | {
"answer": [
"2007"
],
"id": "wikisql-28665",
"question": "Which year was the year of the pig motif for the Royal Canadian Mint numismatic coins (2000s) among the 18k Gold Proof Moon Hologram coin series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Harvey Chan"
],
"style": "rule"
} | {
"answer": [
"Harvey Chan"
],
"id": "wikisql-28666",
"question": "Who was the artist for the Year of the Snake among the Royal Canadian Mint numismatic coins (2000s) from the 18k gold Proof Moon Hologram coin series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"St Kilda"
],
"style": "rule"
} | {
"answer": [
"St Kilda"
],
"id": "wikisql-28671",
"question": "Which away team from the 16th round of the 1908 VFL season had a score of 7.9 (51)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5.9 (39)"
],
"style": "rule"
} | {
"answer": [
"5.9 (39)"
],
"id": "wikisql-28672",
"question": "What was the result of the home team in round 16 of 1908 when the away team scored 6.13 (49) in the 1908 VFL 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": [
"8 August 1908"
],
"style": "rule"
} | {
"answer": [
"8 August 1908"
],
"id": "wikisql-28673",
"question": "From the 1908 VFL season, on what date was the home team's score 5.9 (39) of Round 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": [
"Richmond"
],
"style": "rule"
} | {
"answer": [
"Richmond"
],
"id": "wikisql-28674",
"question": "What was the away team when the home team was South Melbourne in the 16th round of the 1908 VFL 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": [
"Carlton"
],
"style": "rule"
} | {
"answer": [
"Carlton"
],
"id": "wikisql-28675",
"question": "What was the away team when the home team scored 5.9 (39) in round 16 of the 1908 VFL 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": [
"5.9 (39)"
],
"style": "rule"
} | {
"answer": [
"5.9 (39)"
],
"id": "wikisql-28676",
"question": "What is the home team's round 16 score when the away team's score was 6.13 (49) in the 1908 VFL 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": [
"Daniel Federkeil"
],
"style": "rule"
} | {
"answer": [
"Daniel Federkeil"
],
"id": "wikisql-28677",
"question": "Who was drafted from Calgary in the first round of the 2006 CFL draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-28678",
"question": "How many Leaders 1986 Senior PGA Tour wins were ranked higher than 5?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-28679",
"question": "Rank is Miller Barber with 11+ wins from the 1986 Senior PGA Tour Leaders' 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": [
"VFL Park"
],
"style": "rule"
} | {
"answer": [
"VFL Park"
],
"id": "wikisql-28680",
"question": "What was the venue in Round 16 of the 1975 VFL season when the away team scored 11.11 (77)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Victoria Park"
],
"style": "rule"
} | {
"answer": [
"Victoria Park"
],
"id": "wikisql-28681",
"question": "What was the venue when Collingwood was the home team of Round 16 of the 1975 VFL 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": [
"VFL Park"
],
"style": "rule"
} | {
"answer": [
"VFL Park"
],
"id": "wikisql-28682",
"question": "What was the venue in Round 16 of the 1975 VFL season when the away team scored 11.11 (77)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"18829"
],
"style": "rule"
} | {
"answer": [
"18829"
],
"id": "wikisql-28683",
"question": "How many people were in the crowd when the away team scored 17.17 (119) in the 16th round of the 1975 VFL 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": [
"13582"
],
"style": "rule"
} | {
"answer": [
"13582"
],
"id": "wikisql-28684",
"question": "What Was the Biggest Round 16 Crowd at VFL Park in the 1975 VFL 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": [
"30000"
],
"style": "rule"
} | {
"answer": [
"30000"
],
"id": "wikisql-28685",
"question": "How many people were in round 3 of the 1932 VFL season when the home team played South Melbourne?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8.12 (60)"
],
"style": "rule"
} | {
"answer": [
"8.12 (60)"
],
"id": "wikisql-28686",
"question": "What was the result when the away team was Footscray in round 3 of the 1932 VFL 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": [
"18.11 (119)"
],
"style": "rule"
} | {
"answer": [
"18.11 (119)"
],
"id": "wikisql-28687",
"question": "What was the result when the away team was Collingwood in round 3 of the 1932 VFL season?",
"split": "train"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.