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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-34286",
"question": "What is the total number of swimsuits for the preliminary competition if the evening dress is 8,329 and the average is less than 8,497 for Miss USA 1990?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34287",
"question": "What is the sum of the swimsuit for Miss USA 1990 if the evening dress is less than 6.983 and the prelim average is less than 7.362?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34288",
"question": "Name the most interviews for Minnesota and an average of more than 7,901 for the Miss USA 1990 preliminary competition?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34307",
"question": "What is the overall PI-GP of the player with a pick number of 49 and a Reg-GP less than 0 among the List of Vancouver Canucks 2002 Draft picks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34308",
"question": "What is the 2002 Vancouver Canucks draft pick for the player with a PI GP less than 0?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-34309",
"question": "From the Vancouver Canucks 2002 draft pick list, what is the reg gp of the player with a round count less than 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-34310",
"question": "What is the average PI GP of the Round 5 player among the Vancouver Canucks 2002 draft picks with a pick # greater than 151?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Punt Road Oval"
],
"style": "rule"
} | {
"answer": [
"Punt Road Oval"
],
"id": "wikisql-34313",
"question": "Where was the game played when the home team scored 10.12 (72) in Round 7 of the 1945 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": [
"21000"
],
"style": "rule"
} | {
"answer": [
"21000"
],
"id": "wikisql-34314",
"question": "How many spectators attended the game where Richmond was the away team in round 7 of the 1945 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": [
"Rothmans Williams Renault"
],
"style": "rule"
} | {
"answer": [
"Rothmans Williams Renault"
],
"id": "wikisql-34325",
"question": "Who is the competitor with a driver Damon Hill and a Renault RS8 3.0 V10 engine among the teams and drivers of the 1996 Formula 1 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": [
"Jordan - Peugeot",
"Jordan - Peugeot"
],
"style": "rule"
} | {
"answer": [
"Jordan - Peugeot",
"Jordan - Peugeot"
],
"id": "wikisql-34326",
"question": "Who is the designer of the car with a Peugeot A12 EV5 3.0 V10 engine that competed in all rounds for the teams and drivers of the 1996 Formula 1 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": [
"Ferrari 046 3.0 V10",
"Ferrari 046 3.0 V10"
],
"style": "rule"
} | {
"answer": [
"Ferrari 046 3.0 V10",
"Ferrari 046 3.0 V10"
],
"id": "wikisql-34327",
"question": "For the teams and drivers of the 1996 Formula 1 season, what was the engine in the Scuderia Ferrari car that completed all the laps?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jordan - Peugeot",
"Jordan - Peugeot"
],
"style": "rule"
} | {
"answer": [
"Jordan - Peugeot",
"Jordan - Peugeot"
],
"id": "wikisql-34328",
"question": "Among the teams and drivers, who is the designer of chassis 196 for the 1996 Formula 1 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": [
"10500"
],
"style": "rule"
} | {
"answer": [
"10500"
],
"id": "wikisql-34331",
"question": "What was the highest attendance at the Corio Oval games in the 17th round of the 1931 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": [
"South Melbourne"
],
"style": "rule"
} | {
"answer": [
"South Melbourne"
],
"id": "wikisql-34332",
"question": "Who was the away team playing as Corio Oval in the 17th round of the 1931 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": [
"D",
"D"
],
"style": "rule"
} | {
"answer": [
"D",
"D"
],
"id": "wikisql-34341",
"question": "Which tire has a chassis from p57 p61 formula 1 season 1963 among teams and drivers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34350",
"question": "What is the rank of Aliyya Qadi among the unsuccessful candidates in the 2005 Bethlehem municipal elections with fewer than 1421 votes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ahlam Wahsh",
"Semiramis Kutlu"
],
"style": "rule"
} | {
"answer": [
"Ahlam Wahsh",
"Semiramis Kutlu"
],
"id": "wikisql-34351",
"question": "In the 2005 Bethlehem municipal elections, which candidate has more than 279 votes and thus ranks below 50, is ♀ and al-ahd the unsuccessful candidates?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 August 1940"
],
"style": "rule"
} | {
"answer": [
"24 August 1940"
],
"id": "wikisql-34355",
"question": "What is the date an away giant scored 6.16 (52) for the 17th round of the 1940 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": [
"Richmond"
],
"style": "rule"
} | {
"answer": [
"Richmond"
],
"id": "wikisql-34356",
"question": "What is the away team that played when the home team scored 10.17 (77) for the 17th round of the 1940 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": [
"7"
],
"style": "rule"
} | {
"answer": [
"7"
],
"id": "wikisql-34357",
"question": "Tell me the rank total for finishes of 58 at the 1980 World Pairs Figure Skating 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-34358",
"question": "Give me the lowest finishes for the UK and 13th place in pairs at the 1980 World Figure Skating 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-34359",
"question": "I want to know the highest ranking with finishes greater than 123 and points greater than 88.06 in the pairs of the 1980 World Figure Skating 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": [
"David Murray",
"David Hampshire",
"Reg Parnell"
],
"style": "rule"
} | {
"answer": [
"David Murray",
"David Hampshire",
"Reg Parnell"
],
"id": "wikisql-34360",
"question": "Who drives the teams and drivers of a competitor in the 1950 Scuderia Ambrosiana Formula 1 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": [
"5–6"
],
"style": "rule"
} | {
"answer": [
"5–6"
],
"id": "wikisql-34361",
"question": "Which of the rounds has a participant from Automobilen Talbot-Darracq and Pierre Levegh as drivers in the teams and drivers of the 1950 Formula 1 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": [
"Toulo de Graffenried",
"B. Bira"
],
"style": "rule"
} | {
"answer": [
"Toulo de Graffenried",
"B. Bira"
],
"id": "wikisql-34362",
"question": "Who is the driver of the 1950 Formula 1 season for the team and drivers of Enrico Platé Entract?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Alfa Romeo SpA"
],
"style": "rule"
} | {
"answer": [
"Alfa Romeo SpA"
],
"id": "wikisql-34363",
"question": "Which of the participants had Luigi Fagioli as a driver in the teams and drivers of the 1950 Formula 1 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": [
"Leslie Johnson"
],
"style": "rule"
} | {
"answer": [
"Leslie Johnson"
],
"id": "wikisql-34364",
"question": "Who is the driver whose constructor was Era and whose participant was TASO Mathieson for the teams and drivers of the 1950 Formula 1 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": [
"T26C"
],
"style": "rule"
} | {
"answer": [
"T26C"
],
"id": "wikisql-34365",
"question": "Which chassis team and driver of the 1950 Formula 1 season had laps of 7 and a participant from Ecurie Rosier?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34369",
"question": "How many cuts were made from the money lists if there were no wins but had a top 5 of 1 and a top 10 greater than 4 in David Duval's summary?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"20.13 (133)"
],
"style": "rule"
} | {
"answer": [
"20.13 (133)"
],
"id": "wikisql-34387",
"question": "What did Fitzroy score in their home game in the 1st round of the 1981 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": [
"St Kilda"
],
"style": "rule"
} | {
"answer": [
"St Kilda"
],
"id": "wikisql-34388",
"question": "Which away team played at the Western Oval in round 1 of the 1981 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": [
"37303"
],
"style": "rule"
} | {
"answer": [
"37303"
],
"id": "wikisql-34389",
"question": "How big was the crowd in round 1 of the 1981 VFL season when the opponent was Essendon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Conservative hold"
],
"style": "rule"
} | {
"answer": [
"Conservative hold"
],
"id": "wikisql-34391",
"question": "What was the ranking of Labor Goals in the National Assembly for Wales in the 2011 election 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": [
"Wardell Rouse"
],
"style": "rule"
} | {
"answer": [
"Wardell Rouse"
],
"id": "wikisql-34406",
"question": "Which player was a linebacker and has a pick greater than 28 for the Tampa Bay Buccaneers 1995 NFL draft season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-34407",
"question": "What was the lowest round Melvin Johnson played in the 1995 NFL Draft in the Tampa Bay Buccaneers' 1995 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": [
"Florida"
],
"style": "rule"
} | {
"answer": [
"Florida"
],
"id": "wikisql-34408",
"question": "Who was the 2008 South Florida #1 Division I Semifinalist runner-up of the Southeastern Collegiate Roller Hockey League?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"North Carolina State"
],
"style": "rule"
} | {
"answer": [
"North Carolina State"
],
"id": "wikisql-34409",
"question": "Who was the champion in Snellville, GA in 2006 in Division I of the Southeastern Collegiate Roller Hockey League?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"UNC Charlotte"
],
"style": "rule"
} | {
"answer": [
"UNC Charlotte"
],
"id": "wikisql-34410",
"question": "Who won the Southeastern Collegiate Roller Hockey League when Elon was runner-up in Division I?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2005"
],
"style": "rule"
} | {
"answer": [
"2005"
],
"id": "wikisql-34411",
"question": "What year did the Division I Southeastern Collegiate Roller Hockey League score 8-5?",
"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": [
"Florida State"
],
"style": "rule"
} | {
"answer": [
"Florida State"
],
"id": "wikisql-34412",
"question": "Who was the 2007 Division I semifinalist for the Southeastern Collegiate Roller Hockey League?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"NA"
],
"style": "rule"
} | {
"answer": [
"NA"
],
"id": "wikisql-34413",
"question": "Who was the 2001 Southeastern Collegiate Roller Hockey League Division I Semifinalist?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 May 1934"
],
"style": "rule"
} | {
"answer": [
"5 May 1934"
],
"id": "wikisql-34414",
"question": "When did an away team have a score of 12.9 (81) in round 1 of the 1934 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": [
"Essendon"
],
"style": "rule"
} | {
"answer": [
"Essendon"
],
"id": "wikisql-34415",
"question": "What was the home team of 1934 VFL Round 1 that had an opponent from footscray?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Collingwood"
],
"style": "rule"
} | {
"answer": [
"Collingwood"
],
"id": "wikisql-34416",
"question": "Which away team had more than 21,000 spectators in the first round of the 1934 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": [
"Geelong"
],
"style": "rule"
} | {
"answer": [
"Geelong"
],
"id": "wikisql-34417",
"question": "When the home team scored 15.22 (112) for the 1946 VFL season, what was the away team in round 13?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Melbourne"
],
"style": "rule"
} | {
"answer": [
"Melbourne"
],
"id": "wikisql-34418",
"question": "When the away team scored 7.13 (55) for the 13th round of the 1946 VFL season, what was the home team?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10000"
],
"style": "rule"
} | {
"answer": [
"10000"
],
"id": "wikisql-34420",
"question": "What was the smallest viewership when a home team scored 6.11 (47) in round 13 of the 1946 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": [
"21.0"
],
"style": "rule"
} | {
"answer": [
"21.0"
],
"id": "wikisql-34421",
"question": "What is the rank for less than 166.96 points and a 166th place finish at the 1979 World Women's Figure Skating Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-34422",
"question": "What is the rank for more than 120.44 points in East Germany and a SP+FS of 3 for the ladies of the 1979 World Figure Skating 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-34423",
"question": "What is the rank if 233 shows for places and SP+FS less than 27 for 1979 World Figure Skating Championships women's competition?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34424",
"question": "What is the average SP+FS for Denise Biellmann and a rank greater than 5 at the 1979 Women's World Figure Skating 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": [
"170.54"
],
"style": "rule"
} | {
"answer": [
"170.54"
],
"id": "wikisql-34425",
"question": "What is the score for East Germany and a place of 88 at the 1979 Women's World Figure Skating 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": [
"David Coulthard"
],
"style": "rule"
} | {
"answer": [
"David Coulthard"
],
"id": "wikisql-34434",
"question": "What is the pole position at the Portuguese Grand Prix in the 1995 Formula 1 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": [
"Damon Hill"
],
"style": "rule"
} | {
"answer": [
"Damon Hill"
],
"id": "wikisql-34435",
"question": "What is the pole position of the Grand Prix in the 1995 Formula 1 season with 1 lap?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Damon Hill"
],
"style": "rule"
} | {
"answer": [
"Damon Hill"
],
"id": "wikisql-34436",
"question": "What is the pole position of the Hungarian Grand Prix in the 1995 Formula 1 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": [
"Gerhard Berger"
],
"style": "rule"
} | {
"answer": [
"Gerhard Berger"
],
"id": "wikisql-34437",
"question": "What is the Belgian Grand Prix pole position for the 1995 Formula 1 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": [
"San Marino Grand Prix"
],
"style": "rule"
} | {
"answer": [
"San Marino Grand Prix"
],
"id": "wikisql-34438",
"question": "What is the Grand Prix with Gerhard Berger as fastest lap and Michael Schumacher as pole position for the 1995 Formula 1 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": [
"°56′52″"
],
"style": "rule"
} | {
"answer": [
"°56′52″"
],
"id": "wikisql-34439",
"question": "From the list of NGC objects (6001-7000), tell me the declination for Konsellaion of Ophiuchus and apparent magnitude less than 8.6 with right ascension of 16h47m14.5s' 6201-6300 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"17h02m37.7s"
],
"style": "rule"
} | {
"answer": [
"17h02m37.7s"
],
"id": "wikisql-34440",
"question": "Tell me the correct ascent for the globular cluster object type and apparent magnitude of 8.5 and NGC number of 6273 for the list of NGC objects (6001-7000) of 6201-6300?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"84 2"
],
"style": "rule"
} | {
"answer": [
"84 2"
],
"id": "wikisql-34447",
"question": "How old was the Conservative Party member who left the House in 2001 among Members of Parliament records of the UK's oldest sitting MP since 1945?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"27 April 1940"
],
"style": "rule"
} | {
"answer": [
"27 April 1940"
],
"id": "wikisql-34451",
"question": "What is the date the away team under 1940 Round 1 VFL 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": [
"Essendon"
],
"style": "rule"
} | {
"answer": [
"Essendon"
],
"id": "wikisql-34452",
"question": "Who is the home team in 1940 VFL season when home team score is 18.17 (125) Round 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": [
"25.11 (161)"
],
"style": "rule"
} | {
"answer": [
"25.11 (161)"
],
"id": "wikisql-34453",
"question": "In the 1940 VFL season, what is the result of the home team in Round 1 at the Glenferrie Oval venue?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34454",
"question": "Who is the home team if the home team score is 14.19 (103) in round 1 of the 1940 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": [
"Punt Road Oval"
],
"style": "rule"
} | {
"answer": [
"Punt Road Oval"
],
"id": "wikisql-34455",
"question": "What is the 1940 VFL Round 1 venue if the away team scores 17.13 (115) 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": [
"9.11 (65)"
],
"style": "rule"
} | {
"answer": [
"9.11 (65)"
],
"id": "wikisql-34458",
"question": "What is the score of the home team that played in front of more than 12,000 spectators at the Brunswick Street Oval in round 18 of the 1946 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": [
"Junction Oval"
],
"style": "rule"
} | {
"answer": [
"Junction Oval"
],
"id": "wikisql-34459",
"question": "What is the name of the venue where the home side St Kilda played in Round 18 of the 1946 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": [
"16.29 (125)"
],
"style": "rule"
} | {
"answer": [
"16.29 (125)"
],
"id": "wikisql-34460",
"question": "What is the home team's round 18 score that played away team Carlton in the 1946 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": [
"Green Bay Packers"
],
"style": "rule"
} | {
"answer": [
"Green Bay Packers"
],
"id": "wikisql-34461",
"question": "Who won the pre-1985 game over 62,026 in the 1980s Bears-Packers rivalry (Bears 11-7)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10.0/24",
"9.8/21"
],
"style": "rule"
} | {
"answer": [
"10.0/24",
"9.8/21"
],
"id": "wikisql-34462",
"question": "From the list of Daytona 500 stations, if the year of the Fox/NBC era (2001-2006) is less than 2004 and Mike Joy is round after round, what are the 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": [
"NBC"
],
"style": "rule"
} | {
"answer": [
"NBC"
],
"id": "wikisql-34463",
"question": "What network does Bill Weber have for the lap-by-lap among the list of Daytona 500 stations in Fox NBC era 2001 2006?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Chris Myers"
],
"style": "rule"
} | {
"answer": [
"Chris Myers"
],
"id": "wikisql-34464",
"question": "From the Daytona 500 broadcasters list, which Fox/NBC era (2001-2006) was the pre-race anchor as Mike Joy drove lap after lap in 2005?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34465",
"question": "How many years have ratings of 10.9/23 among the Daytona 500 stations of the 2001 2006 Fox NBC era 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": [
"11.18 (84)"
],
"style": "rule"
} | {
"answer": [
"11.18 (84)"
],
"id": "wikisql-34466",
"question": "What is the Lake Oval home team's score in Round 7 of the 1964 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": [
"30 May 1964"
],
"style": "rule"
} | {
"answer": [
"30 May 1964"
],
"id": "wikisql-34467",
"question": "When was Victoria Park used as a venue for the seventh round of the 1964 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": [
"30 May 1964"
],
"style": "rule"
} | {
"answer": [
"30 May 1964"
],
"id": "wikisql-34468",
"question": "What is the date of a Fitzroy away team in Round 7 of the 1964 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": [
"18945"
],
"style": "rule"
} | {
"answer": [
"18945"
],
"id": "wikisql-34469",
"question": "What is the largest crowd for a Carlton home team in Round 7, 1964 VFL?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14000.0"
],
"style": "rule"
} | {
"answer": [
"14000.0"
],
"id": "wikisql-34470",
"question": "When the away team scored 12.9 (81), what was the average attendance for round 17 of the 1936 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": [
"29 August 1936"
],
"style": "rule"
} | {
"answer": [
"29 August 1936"
],
"id": "wikisql-34471",
"question": "In the 1936 VFL season when the home team had a score of 16.10 (106), what was the date of round 17?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"13000"
],
"style": "rule"
} | {
"answer": [
"13000"
],
"id": "wikisql-34472",
"question": "When away team Melbourne played in the 17th round of the 1936 VFL season, what was the lowest attendance?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"9.16 (70)"
],
"style": "rule"
} | {
"answer": [
"9.16 (70)"
],
"id": "wikisql-34473",
"question": "If the away team is Essendon, what is the home team's score for the 1936 VFL season, round 17?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"29 August 1936"
],
"style": "rule"
} | {
"answer": [
"29 August 1936"
],
"id": "wikisql-34474",
"question": "If the venue is Brunswick Street Oval, what date was the game for round 17 of the 1936 VFL season played?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34480",
"question": "Cumulative score for all teams playing on the Discovery Channel in the 2007 Volta a Catalunya individual classification at the 2007 UCI ProTour post-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": [
"Tom Boonen"
],
"style": "rule"
} | {
"answer": [
"Tom Boonen"
],
"id": "wikisql-34481",
"question": "Which 2007 Volta a Catalunya's singles 2007 UCI ProTour ranking after the race, which player is from Belgium?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bucks"
],
"style": "rule"
} | {
"answer": [
"Bucks"
],
"id": "wikisql-34482",
"question": "Who was the away team that played the Milwaukee Bucks against the Kings in December 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": [
"David Skokan"
],
"style": "rule"
} | {
"answer": [
"David Skokan"
],
"id": "wikisql-34483",
"question": "Name the round-five-plus-position c player among the New York Rangers' 2007-08 draft picks. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sodertalje SK ( J20 SuperElit )"
],
"style": "rule"
} | {
"answer": [
"Sodertalje SK ( J20 SuperElit )"
],
"id": "wikisql-34484",
"question": "Tell me college for 2007-08 New York Rangers season for Carl Hagelins draft picks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34485",
"question": "Among the Phoenix Suns all-time L players, what year is the player who competed with less than 6 assists from La Salle?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1:34.21.19"
],
"style": "rule"
} | {
"answer": [
"1:34.21.19"
],
"id": "wikisql-34489",
"question": "What is the time of Tony Myres' Junior Classic Race in the 2007 Manx Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"93.563mph"
],
"style": "rule"
} | {
"answer": [
"93.563mph"
],
"id": "wikisql-34490",
"question": "Under the 2007 Manx Grand Prix of the Junior Classic Race, name the speed Andy Reynolds?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34491",
"question": "Report the total number of ranks for 348cc Petty Manx in the 2007 Manx Grand Prix Junior Classic 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": [
"93.563mph"
],
"style": "rule"
} | {
"answer": [
"93.563mph"
],
"id": "wikisql-34492",
"question": "Report the speed for 1:36.46.93 for the 2007 Manx Grand Prix Junior Classic 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": [
"8.13 (61)"
],
"style": "rule"
} | {
"answer": [
"8.13 (61)"
],
"id": "wikisql-34493",
"question": "What is the score of the away team in the 6th round of the 1949 VFL season for 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-34494",
"question": "What is the away team score for South Melbourne in the 6th round 1949 in the VFL?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Geelong"
],
"style": "rule"
} | {
"answer": [
"Geelong"
],
"id": "wikisql-34495",
"question": "Which away team has a score of 12.10 (82) in round 6 of the 1949 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": [
"FM 38D-8 opposed piston"
],
"style": "rule"
} | {
"answer": [
"FM 38D-8 opposed piston"
],
"id": "wikisql-34496",
"question": "What is the Model FM CFA-16-4 Prime Mover under the C-Liner List of Fairbanks Morse Locomotives?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34506",
"question": "Which 1936 VFL Round 1 away team has a score of 17.4 (106)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"12000.0"
],
"style": "rule"
} | {
"answer": [
"12000.0"
],
"id": "wikisql-34507",
"question": "What is the average attendance for round 1 of the 1936 VFL season at Corio Oval?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"32000.0"
],
"style": "rule"
} | {
"answer": [
"32000.0"
],
"id": "wikisql-34508",
"question": "What was the average attendance at the Brunswick Street Oval Round 1 in the 1936 VFL season?",
"split": "train"
} |
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