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": [
"16"
],
"style": "rule"
} | {
"answer": [
"16"
],
"id": "wikisql-59050",
"question": "How many tries did Ronan O'Gara make for the player over 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-59051",
"question": "What is the smallest draw for a player greater than 2 with 100% wins under Ronan O'Gara?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-59052",
"question": "What are the average draws for a player over 16 with more than 1 try and a win percentage less than 56.15% for Ronan O'Gara?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"F"
],
"style": "rule"
} | {
"answer": [
"F"
],
"id": "wikisql-59053",
"question": "How was Robin Ammerlaan's Wimbledon result 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": [
"F"
],
"style": "rule"
} | {
"answer": [
"F"
],
"id": "wikisql-59054",
"question": "What was the result of the 2011 US Open when the 2007 F was under Robin Ammerlaan?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"W"
],
"id": "wikisql-59055",
"question": "Considering Robin Ammerlaan what was the result in 2007 when 2011 was F and 2009 was W?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Australian Open"
],
"style": "rule"
} | {
"answer": [
"Australian Open"
],
"id": "wikisql-59056",
"question": "Which tournament ended with a W for Robin Ammerlaan 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": [
"Grand Slams"
],
"style": "rule"
} | {
"answer": [
"Grand Slams"
],
"id": "wikisql-59057",
"question": "Which tournament 2009 had Grand Slams for Robin Ammerlaan?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"French Open",
"US Open"
],
"style": "rule"
} | {
"answer": [
"French Open",
"US Open"
],
"id": "wikisql-59058",
"question": "Which tournament had the result with 2009 was F and 2010 was F with Robin Ammerlaan ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Home"
],
"style": "rule"
} | {
"answer": [
"Home"
],
"id": "wikisql-59144",
"question": "Was the game home or away if the Chicago Throwbacks record is 6-12?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 28"
],
"style": "rule"
} | {
"answer": [
"March 28"
],
"id": "wikisql-59145",
"question": "When is the Chicago Throwbacks away game at Blue Cross Arena?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"15.0"
],
"style": "rule"
} | {
"answer": [
"15.0"
],
"id": "wikisql-59146",
"question": "From the New England Patriots 1990 season roster, what week did the stadium play with 22,286 spectators?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Nominated"
],
"style": "rule"
} | {
"answer": [
"Nominated"
],
"id": "wikisql-59172",
"question": "What was the result of the pre-2005 film in the category Best Actress, winner of the Robert Award under Sonja Richter?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Nominated"
],
"style": "rule"
} | {
"answer": [
"Nominated"
],
"id": "wikisql-59173",
"question": "What was the result of the Bodil Award-winning film before 2005 in the Best Actress category for Sonja Richter?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Best Actress"
],
"style": "rule"
} | {
"answer": [
"Best Actress"
],
"id": "wikisql-59174",
"question": "In which category does the nominated work by Cecilie, winner of the Robert Prize in Sonja Richter, fall?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"17"
],
"style": "rule"
} | {
"answer": [
"17"
],
"id": "wikisql-59178",
"question": "From the Cleveland Browns 2000 season roster, what week did they have a reunion?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"11.28 (.444)"
],
"style": "rule"
} | {
"answer": [
"11.28 (.444)"
],
"id": "wikisql-59185",
"question": "Which neck has a 10.566 (.416) bullet and a 14.78 (.582) base in 10mm caliber?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"73.66 (2.90)"
],
"style": "rule"
} | {
"answer": [
"73.66 (2.90)"
],
"id": "wikisql-59186",
"question": "What is the case length for a 14.96 (.589) base in a 10mm caliber?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"83.058 (3.27)"
],
"style": "rule"
} | {
"answer": [
"83.058 (3.27)"
],
"id": "wikisql-59187",
"question": "A.416 Barrett has what case length from caliber 10 mm?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
".416 Weatherby Magnum"
],
"style": "rule"
} | {
"answer": [
".416 Weatherby Magnum"
],
"id": "wikisql-59188",
"question": "What name in 10mm caliber has a case length of 73.99 (2.913)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"11.96 (.471)"
],
"style": "rule"
} | {
"answer": [
"11.96 (.471)"
],
"id": "wikisql-59189",
"question": "What base has a name of .44 wcf in 10mm caliber?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
".416 Rigby"
],
"style": "rule"
} | {
"answer": [
".416 Rigby"
],
"id": "wikisql-59190",
"question": "What name in 10mm caliber has a 10.57 (.416) bullet and a 14.96 (.589) base?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"WPS Racing"
],
"style": "rule"
} | {
"answer": [
"WPS Racing"
],
"id": "wikisql-59205",
"question": "Which team had 159 laps and a time/retirement of 6:30:02.3733 for the 2007 Supercheap Auto Bathurst 1000?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Shane Price Jack Perkins"
],
"style": "rule"
} | {
"answer": [
"Shane Price Jack Perkins"
],
"id": "wikisql-59206",
"question": "Which team in the 2007 Supercheap Auto Bathurst 1000 had less than 159 laps and a time or downtime of 4:00:30.7537 (retired - fire)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-59222",
"question": "What is the highest number of defeats with 23 points and 22 games for Libyan Premier League 1968–69?",
"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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-59223",
"question": "What is the total goals scored for Al Wahda team with less than 4 draws and more than 22 games in Libyan Premier League 1968–69?",
"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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-59224",
"question": "How many goals scored against the opposing team with more than 7 defeats, less than 27 goals scored for the team and more than 1 draw for Libyan Premier League 1968–69?",
"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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-59225",
"question": "What is the highest number of games if 4+ games played, 30+ points scored and 37 goals scored for the team in Libyan Premier League 1968–69?",
"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": [
"Garry Jack"
],
"style": "rule"
} | {
"answer": [
"Garry Jack"
],
"id": "wikisql-59232",
"question": "Which player in the Rugby League World Golden Boot Awards played for the Balmain Tigers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Australia"
],
"style": "rule"
} | {
"answer": [
"Australia"
],
"id": "wikisql-59233",
"question": "What nationality was five-eighth player Darren Lockyer at Rugby League World Golden Boot Awards?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Australia"
],
"style": "rule"
} | {
"answer": [
"Australia"
],
"id": "wikisql-59234",
"question": "What nationality was Greg Inglis at Rugby League World Golden Boot Awards?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"60"
],
"style": "rule"
} | {
"answer": [
"60"
],
"id": "wikisql-59238",
"question": "How many total points does the team with a goal difference of 8 have in the 2000–01 Segunda División?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Fuji"
],
"style": "rule"
} | {
"answer": [
"Fuji"
],
"id": "wikisql-59260",
"question": "What was the track for the race held on 10/08/86 for the 1986 Japanese Formula 2 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": [
"Suzuka",
"Mine"
],
"style": "rule"
} | {
"answer": [
"Suzuka",
"Mine"
],
"id": "wikisql-59261",
"question": "At which circuit was Cabin Racing the winning team in the 1986 Japanese Formula 2 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": [
"Mike Thackwell"
],
"style": "rule"
} | {
"answer": [
"Mike Thackwell"
],
"id": "wikisql-59262",
"question": "Considering the 1986 Japanese Formula 2 season, who was the winning driver driving the winning car March - Honda 86j, with the winning team Team Nova?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-59263",
"question": "Among swimmers at the 2007 World Aquatics Championships - men's 100m backstroke, which lane had a 50m split of 25.8?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Liam Tancock"
],
"style": "rule"
} | {
"answer": [
"Liam Tancock"
],
"id": "wikisql-59264",
"question": "Among the swimmers at the 2007 World Aquatics Championships - Men's 100 meter backstroke, who was in lane 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": [
"53.69"
],
"style": "rule"
} | {
"answer": [
"53.69"
],
"id": "wikisql-59265",
"question": "What was Arkady Vyatchanin's time swimming at the 2007 World Aquatics Championships - men's 100m backstroke?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Miami"
],
"style": "rule"
} | {
"answer": [
"Miami"
],
"id": "wikisql-59270",
"question": "From which school was the linebacker drafted after round 8 for the Cleveland Browns' 1982 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-59283",
"question": "What is the total number of E-edges of the polyhedra with vertices V greater than 20 under the Euler characteristic?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-59284",
"question": "What is the smallest Euler characteristic V-E+F of a hexahedron or cube that has less than 20 faces F, less than 30 edges E and less than 8 vertices V?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"270 (–14)",
"273 (–11)",
"283 (–5)",
"286 (–2)",
"273 (–7)",
"278 (–10)",
"271 (–13)",
"269 (–15)",
"273 (–15)",
"281 (–4)"
],
"style": "rule"
} | {
"answer": [
"270 (–14)",
"273 (–11)",
"283 (–5)",
"286 (–2)",
"273 (–7)",
"278 (–10)",
"271 (–13)",
"269 (–15)",
"273 (–15)",
"281 (–4)"
],
"id": "wikisql-59293",
"question": "What was the score for the tournament that had a $50,000 winner's share for the 1972 PGA Tour?... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jan 16"
],
"style": "rule"
} | {
"answer": [
"Jan 16"
],
"id": "wikisql-59294",
"question": "On what date was the 1972 PGA Tour tournament that had a $28,000 winner's share?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 - 9 Dec"
],
"style": "rule"
} | {
"answer": [
"7 - 9 Dec"
],
"id": "wikisql-59295",
"question": "What date does the Circuit at Sandown Raceway take place in the 2007 Australian GT Championship 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": [
"Sydney , New South Wales"
],
"style": "rule"
} | {
"answer": [
"Sydney , New South Wales"
],
"id": "wikisql-59296",
"question": "What is the City/State of the Oran Park race in the 2007 Australian GT Championship 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": [
"Phillip Island , Victoria"
],
"style": "rule"
} | {
"answer": [
"Phillip Island , Victoria"
],
"id": "wikisql-59297",
"question": "In which city/state did John Bowe win the 2007 Australian GT Championship season at the Phillip Island Grand Prix Circuit?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2½/6"
],
"style": "rule"
} | {
"answer": [
"2½/6"
],
"id": "wikisql-59306",
"question": "What is the score where Saint-Amant lost the game to Howard Staunton?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"London"
],
"style": "rule"
} | {
"answer": [
"London"
],
"id": "wikisql-59307",
"question": "Where did the game take place when the odds were p+1 and the score was 1/3 for Howard Staunton?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lost"
],
"style": "rule"
} | {
"answer": [
"Lost"
],
"id": "wikisql-59308",
"question": "What was the score for a n/a site under Howard Staunton with a rate of p + 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": [
"N/A"
],
"style": "rule"
} | {
"answer": [
"N/A"
],
"id": "wikisql-59309",
"question": "What was the score for a game at odds of p+2 after 1847 between Howard Staunton?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1847.0"
],
"style": "rule"
} | {
"answer": [
"1847.0"
],
"id": "wikisql-59310",
"question": "What was the date of the game between howard staunton that had q rook odds?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yusuke Kawaguchi"
],
"style": "rule"
} | {
"answer": [
"Yusuke Kawaguchi"
],
"id": "wikisql-59331",
"question": "Who did he fight in Rumble of the Kings 6 under Jörgen Kruth?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4:25"
],
"style": "rule"
} | {
"answer": [
"4:25"
],
"id": "wikisql-59332",
"question": "How long did the match between Jörgen Kruth and Jaime Fletcher last?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Brisbane , Queensland"
],
"style": "rule"
} | {
"answer": [
"Brisbane , Queensland"
],
"id": "wikisql-59333",
"question": "In the 1993 Australian Touring Car Championship, the Glenn Seton Racing team raced at the Lakeside International Circuit. What is the location and condition?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Phillip Island , Victoria"
],
"style": "rule"
} | {
"answer": [
"Phillip Island , Victoria"
],
"id": "wikisql-59334",
"question": "Which city and state has a Phillip Island Grand Prix Circuit race track in the 1993 Australian Touring Car 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": [
"Perky Park pique dames club mix"
],
"style": "rule"
} | {
"answer": [
"Perky Park pique dames club mix"
],
"id": "wikisql-59337",
"question": "Which version of L'Âme-stram-gram has a remix by Perky Park with a length of 6:38?",
"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": [
"2003"
],
"style": "rule"
} | {
"answer": [
"2003"
],
"id": "wikisql-59338",
"question": "How many years has L'Âme-stram-gram had an album of remixes in total?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4:16"
],
"style": "rule"
} | {
"answer": [
"4:16"
],
"id": "wikisql-59339",
"question": "What is the length at which a version of the single version for the L'Âme-stram-gram is listed?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 April 2009"
],
"style": "rule"
} | {
"answer": [
"12 April 2009"
],
"id": "wikisql-59347",
"question": "On what date was the result in the final 6-3, 6-3 for Alicja Rosolska?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Giulia Casoni Mariya Koryttseva"
],
"style": "rule"
} | {
"answer": [
"Giulia Casoni Mariya Koryttseva"
],
"id": "wikisql-59348",
"question": "What was the opponent in the final during the game with a final score of 6-4, 3-6, 5-7 for Alicja Rosolska?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-59349",
"question": "How many seasons did Tessa Worley take place in Aspen, USA?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1st"
],
"style": "rule"
} | {
"answer": [
"1st"
],
"id": "wikisql-59350",
"question": "What place was won for Tessa Worley on February 12, 2012?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Semmering , Austria"
],
"style": "rule"
} | {
"answer": [
"Semmering , Austria"
],
"id": "wikisql-59351",
"question": "Where was the December 28, 2010 Tessa Worley race held?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1.57 m"
],
"style": "rule"
} | {
"answer": [
"1.57 m"
],
"id": "wikisql-59352",
"question": "How does the overall length with the designation s-8ko relate to the S-8 rocket?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"S-8KO",
"S-8KOM"
],
"style": "rule"
} | {
"answer": [
"S-8KO",
"S-8KOM"
],
"id": "wikisql-59353",
"question": "What designation has a launch weight of 11.3 kg for an S-8 rocket?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Target marking"
],
"style": "rule"
} | {
"answer": [
"Target marking"
],
"id": "wikisql-59354",
"question": "What type of S-8 rocket has an overall length of 1.605 m?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Test driver"
],
"style": "rule"
} | {
"answer": [
"Test driver"
],
"id": "wikisql-59359",
"question": "How's the race going with a one-point test driver under Robert Wickens?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-59360",
"question": "How many wins has the Kolles & Heinz Union team with f/laps of 0 in the Formula 3 Euroseries under Robert Wickens?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Formula Renault 3.5 Series"
],
"style": "rule"
} | {
"answer": [
"Formula Renault 3.5 Series"
],
"id": "wikisql-59361",
"question": "Which series has 4 f/laps under Robert Wickens?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-59362",
"question": "How many wins has Team Autotecnica achieved with 0 podiums under Robert Wickens?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14"
],
"style": "rule"
} | {
"answer": [
"14"
],
"id": "wikisql-59363",
"question": "How many races had 10.5 points under Robert Wickens?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-59364",
"question": "How many wins did the team with 5 podiums under Robert Wickens have?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"28"
],
"id": "wikisql-59365",
"question": "What is recorded as the lowest round for player Jim Thompson in the 1945 Green Bay Packers 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": [
"22"
],
"style": "rule"
} | {
"answer": [
"22"
],
"id": "wikisql-59366",
"question": "What is the highest round that has a tackle position and player Fred Neilsen from the 1945 Green Bay Packers 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": [
"Back"
],
"style": "rule"
} | {
"answer": [
"Back"
],
"id": "wikisql-59367",
"question": "What is the position of a round of 16 for the Green Bay Packers 1945 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-59374",
"question": "What is the displacement (tons) of 2 x inch (mm), 16 x inch (mm) armament on Tennessee class cruisers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Stansell"
],
"style": "rule"
} | {
"answer": [
"Matt Stansell"
],
"id": "wikisql-59375",
"question": "Which opponent has a round greater than 1 and an event of King of the Cage 31 for Jimmy Smith (fighter)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5:00"
],
"style": "rule"
} | {
"answer": [
"5:00"
],
"id": "wikisql-59376",
"question": "When does Jimmy Smith (fighter) have a turn greater than 1 and a total battle alliance event 2?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Win"
],
"style": "rule"
} | {
"answer": [
"Win"
],
"id": "wikisql-59377",
"question": "Which Res has a record of 3-0 for Jimmy Smith (fighter)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"San Jacinto, California , United States"
],
"style": "rule"
} | {
"answer": [
"San Jacinto, California , United States"
],
"id": "wikisql-59378",
"question": "Which location has an event of King of the Cage: Flashpoint between Jimmy Smith (fighter)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"June 7"
],
"style": "rule"
} | {
"answer": [
"June 7"
],
"id": "wikisql-59395",
"question": "What date was the result of the 1989-90 Detroit Pistons 106-105 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": [
"112-109"
],
"style": "rule"
} | {
"answer": [
"112-109"
],
"id": "wikisql-59396",
"question": "What was the result for Portland at home on June 12 of the Detroit Pistons' 1989-90 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": [
"Detroit"
],
"style": "rule"
} | {
"answer": [
"Detroit"
],
"id": "wikisql-59397",
"question": "Who was the Detroit Pistons home team with a score of 105-99 in the 1989-90 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": [
"June 5"
],
"style": "rule"
} | {
"answer": [
"June 5"
],
"id": "wikisql-59398",
"question": "What date was Game 1 of the 1989-90 Detroit Pistons 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": [
"June 10"
],
"style": "rule"
} | {
"answer": [
"June 10"
],
"id": "wikisql-59399",
"question": "What date was Game 3 of the 1989-90 Detroit Pistons 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": [
"June 7"
],
"style": "rule"
} | {
"answer": [
"June 7"
],
"id": "wikisql-59400",
"question": "What date was Portland away for Game 2 of the 1989-90 Detroit Pistons 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": [
"9"
],
"style": "rule"
} | {
"answer": [
"9"
],
"id": "wikisql-59401",
"question": "What was the highest number of games played in Brazilian football in 1964, conceding over 14 goals and losing 3?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-59402",
"question": "What was the position of the Corinthians team with over 14 against 1964 in Brazilian football?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-59403",
"question": "How many games of 1964 in Brazilian football were played for team Bangu with under 15 points and over 9 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 Hour"
],
"style": "rule"
} | {
"answer": [
"1 Hour"
],
"id": "wikisql-59405",
"question": "Give the length of the GT-2 class and the date of October 8th of the 1995 IMSA GT championship 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": [
"Lime Rock Park"
],
"style": "rule"
} | {
"answer": [
"Lime Rock Park"
],
"id": "wikisql-59406",
"question": "Name the track with the GT class in the 1995 IMSA GT championship 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": [
"12 Hours"
],
"style": "rule"
} | {
"answer": [
"12 Hours"
],
"id": "wikisql-59407",
"question": "Give the length for all classes and the date of March 18th for the 1995 IMSA GT Championship 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": [
"63–85"
],
"style": "rule"
} | {
"answer": [
"63–85"
],
"id": "wikisql-59420",
"question": "What was the result at A Arena, SL league and match number over 16 for PBC CSKA Moscow season 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": [
"G. A. Matheson C. B. Alison"
],
"style": "rule"
} | {
"answer": [
"G. A. Matheson C. B. Alison"
],
"id": "wikisql-59443",
"question": "Who played women's doubles at the 1936 Scottish National Badminton 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": [
"L 7–10"
],
"style": "rule"
} | {
"answer": [
"L 7–10"
],
"id": "wikisql-59444",
"question": "What was the Baltimore Colts' score of the 1979 season for the Week 15 game at Memorial Stadium?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1977.0"
],
"style": "rule"
} | {
"answer": [
"1977.0"
],
"id": "wikisql-59457",
"question": "What year did you get 4 points for John Williams (motorcyclist) with Suzuki?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1978"
],
"style": "rule"
} | {
"answer": [
"1978"
],
"id": "wikisql-59458",
"question": "What was the last year you had less than 16 points in the 500cc class for John Williams (motorcyclist)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 15"
],
"style": "rule"
} | {
"answer": [
"August 15"
],
"id": "wikisql-59469",
"question": "What is the date of the Mosport Park circuit in the 1982 IMSA GT Championship 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": [
"45 minutes"
],
"style": "rule"
} | {
"answer": [
"45 minutes"
],
"id": "wikisql-59470",
"question": "What is the length of the Laguna Seca Raceway circuit with a GTU class for the 1982 IMSA GT Championship 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": [
"All"
],
"style": "rule"
} | {
"answer": [
"All"
],
"id": "wikisql-59471",
"question": "What is the class of Charlotte Camel GT 500 racing in the 1982 IMSA GT Championship season?",
"split": "train"
} |
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