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": [
"24"
],
"style": "rule"
} | {
"answer": [
"24"
],
"id": "wikitq-03815",
"question": "From The Fresh Prince of Bel-Air episode list, how many episodes does the season have 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": [
"Meola"
],
"style": "rule"
} | {
"answer": [
"Meola"
],
"id": "wikitq-03816",
"question": "Among the Royal New Zealand Navy's port ships, which is the only ship used as a workboat?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"16"
],
"style": "rule"
} | {
"answer": [
"16"
],
"id": "wikitq-03817",
"question": "How many times was the bet hair under Gran Cochisse?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Penrith Panthers"
],
"style": "rule"
} | {
"answer": [
"Penrith Panthers"
],
"id": "wikitq-03818",
"question": "Who won the 1997 Brisbane Broncos season the least?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mt Smart Stadium"
],
"style": "rule"
} | {
"answer": [
"Mt Smart Stadium"
],
"id": "wikitq-03819",
"question": "What stadium other than anz Stadium did the Auckland Warriors play in the 1997 Brisbane Broncos 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": [
"20"
],
"style": "rule"
} | {
"answer": [
"20"
],
"id": "wikitq-03820",
"question": "How many total games were played for the Brisbane Broncos in 1997?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikitq-03821",
"question": "In the 1997 Brisbane Broncos season, how many games had a crowd of over 20,000?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikitq-03822",
"question": "The round after Round 3 for the 1997 Brisbane Broncos 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": "wikitq-03823",
"question": "From Brisbane Broncos 1997 season roster, number of opponents faced?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"16"
],
"style": "rule"
} | {
"answer": [
"16"
],
"id": "wikitq-03824",
"question": "How many games did the Brisbane Broncos win in the 1997 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": "wikitq-03825",
"question": "How many different teams did the Brisbane Broncos play in the 1997 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"
],
"style": "rule"
} | {
"answer": [
"16"
],
"id": "wikitq-03826",
"question": "How many wins did they have at least in the 1997 Brisbane Broncos 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"
],
"style": "rule"
} | {
"answer": [
"12"
],
"id": "wikitq-03827",
"question": "The Johanna Manninen, how long has this runner competed in years?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"23.26"
],
"style": "rule"
} | {
"answer": [
"23.26"
],
"id": "wikitq-03828",
"question": "What was Johanna Manninen's fastest 200m time before the 2000 Olympics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1971"
],
"style": "rule"
} | {
"answer": [
"1971"
],
"id": "wikitq-03839",
"question": "Which is the only year with promotion playoffs and promotion for Arbrå BK?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ha-202"
],
"style": "rule"
} | {
"answer": [
"Ha-202"
],
"id": "wikitq-03840",
"question": "What other Ha-201 class submarine was completed on the same day as the Ha-201?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ha-201"
],
"style": "rule"
} | {
"answer": [
"Ha-201"
],
"id": "wikitq-03842",
"question": "Which boat was laid down on the same day as Ha-202 among the Ha-201 class submarines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 26-6"
],
"style": "rule"
} | {
"answer": [
"W 26-6"
],
"id": "wikitq-03843",
"question": "What is the September 28th combined score for the 1946 Notre Dame Fighting Irish Football team?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"9"
],
"style": "rule"
} | {
"answer": [
"9"
],
"id": "wikitq-03844",
"question": "How many fixtures are there for the 1946 Notre Dame Fighting Irish football team?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"9"
],
"style": "rule"
} | {
"answer": [
"9"
],
"id": "wikitq-03845",
"question": "How many points did Emerson Fittipaldi get in the 1975 Argentine 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": [
"Emerson Fittipaldi"
],
"style": "rule"
} | {
"answer": [
"Emerson Fittipaldi"
],
"id": "wikitq-03846",
"question": "Who took first place in the 1975 Argentine 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": [
"11"
],
"style": "rule"
} | {
"answer": [
"11"
],
"id": "wikitq-03847",
"question": "How many drivers have completed at least 52 laps since the 1975 Argentine 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": [
"Carlos Reutemann"
],
"style": "rule"
} | {
"answer": [
"Carlos Reutemann"
],
"id": "wikitq-03848",
"question": "Who came after James Hunt after the 1975 Argentine 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": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikitq-03849",
"question": "How many fewer laps did Carlos Pace drive than Jochen Mass at the 1975 Argentine 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": [
"Wilson Fittipaldi"
],
"style": "rule"
} | {
"answer": [
"Wilson Fittipaldi"
],
"id": "wikitq-03850",
"question": "Who was the only driver to have an accident at the 1975 Argentine 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": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikitq-03851",
"question": "How many points did Clay Regazzoni get for the 1975 Argentine 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": [
"Clay Regazzoni"
],
"style": "rule"
} | {
"answer": [
"Clay Regazzoni"
],
"id": "wikitq-03852",
"question": "Who had the best time driving a Ferrari at the 1975 Argentine 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": [
"8"
],
"style": "rule"
} | {
"answer": [
"8"
],
"id": "wikitq-03857",
"question": "How many teams had at least 15 wins in the 1992–93 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": [
"53.6"
],
"style": "rule"
} | {
"answer": [
"53.6"
],
"id": "wikitq-03858",
"question": "What is the average number of \"goals scored\" by the top 5 teams in the 1992-93 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": [
"12"
],
"style": "rule"
} | {
"answer": [
"12"
],
"id": "wikitq-03859",
"question": "How many times was 13 or more listed in the victory column for the 1992-93 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": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikitq-03860",
"question": "How many teams had less than 10 wins in the Segunda División in 1992/93?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10"
],
"style": "rule"
} | {
"answer": [
"10"
],
"id": "wikitq-03861",
"question": "How many clubs had a positive goal difference in the 1992-93 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": [
"Athletic de Bilbao B"
],
"style": "rule"
} | {
"answer": [
"Athletic de Bilbao B"
],
"id": "wikitq-03862",
"question": "Which is the only team to have 9 wins in the Segunda División in 1992-93?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"SD Eibar"
],
"style": "rule"
} | {
"answer": [
"SD Eibar"
],
"id": "wikitq-03863",
"question": "Which team in Segunda División 1992-93 has the same number of wins as SD Compostela?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikitq-03864",
"question": "How many partial cancellations of H-II flights were there?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikitq-03865",
"question": "What is the maximum number of flights canceled between H-II according to the table?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"27"
],
"style": "rule"
} | {
"answer": [
"27"
],
"id": "wikitq-03870",
"question": "How many games took place in the first premier season for Toray Arrows (women's volleyball 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": [
"7"
],
"style": "rule"
} | {
"answer": [
"7"
],
"id": "wikitq-03871",
"question": "How many years have Toray Arrows competed in the V Premier?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-03872",
"question": "How many Toray Arrows (women's volleyball team) games were played in the 2009-10 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": [
"2007-08"
],
"style": "rule"
} | {
"answer": [
"2007-08"
],
"id": "wikitq-03873",
"question": "In which year did the Toray Arrows (women's volleyball team) have the most wins?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikitq-03874",
"question": "How many stages of the 1978 Tour de France contain deer with mountains?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Plain stage"
],
"style": "rule"
} | {
"answer": [
"Plain stage"
],
"id": "wikitq-03875",
"question": "What type of terrain is most frequently performed in the 1978 Tour de France?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"244 km (152 mi)"
],
"style": "rule"
} | {
"answer": [
"244 km (152 mi)"
],
"id": "wikitq-03876",
"question": "What was the total length of stage 3 of the 1978 Tour de France?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Labour"
],
"style": "rule"
} | {
"answer": [
"Labour"
],
"id": "wikitq-03877",
"question": "Which party under Strathkelvin had the most faction leaders?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Labour"
],
"style": "rule"
} | {
"answer": [
"Labour"
],
"id": "wikitq-03878",
"question": "Under Strathkelvin, which party had the most leaders?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikitq-03879",
"question": "How many faction leaders were for Strathkelvin from the Conservative Party?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Syracuse"
],
"style": "rule"
} | {
"answer": [
"Syracuse"
],
"id": "wikitq-03880",
"question": "Which team has the largest winning margin at an Aloha Bowl game?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"94"
],
"style": "rule"
} | {
"answer": [
"94"
],
"id": "wikitq-03881",
"question": "Aloha Bowl, what is the highest point total scored by both teams in an Aloha Bowl game?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sweden"
],
"style": "rule"
} | {
"answer": [
"Sweden"
],
"id": "wikitq-03882",
"question": "Which nation came to Spain in jujutsu at the 2013 World Combat Games?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Russia"
],
"style": "rule"
} | {
"answer": [
"Russia"
],
"id": "wikitq-03883",
"question": "Which nation will take first place in jujutsu at the 2013 World Combat Games?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Italy"
],
"style": "rule"
} | {
"answer": [
"Italy"
],
"id": "wikitq-03884",
"question": "Which nation will be placed after Russia in jujutsu at the World Combat Games 2013?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8"
],
"style": "rule"
} | {
"answer": [
"8"
],
"id": "wikitq-03885",
"question": "What is the total number of medals for all countries that placed fourth for jujutsu at the World Combat Games 2013?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Poland"
],
"style": "rule"
} | {
"answer": [
"Poland"
],
"id": "wikitq-03886",
"question": "From the jujutsu list at the World Combat Games 2013, the country with the most bronze medals ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6"
],
"style": "rule"
} | {
"answer": [
"6"
],
"id": "wikitq-03887",
"question": "From the list of jujutsu at the World Combat Games 2013, how much more gold did Russia have than Germany?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1,400 tons"
],
"style": "rule"
} | {
"answer": [
"1,400 tons"
],
"id": "wikitq-03888",
"question": "How many tons of class destroyer escort displace?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 knots"
],
"style": "rule"
} | {
"answer": [
"28 knots"
],
"id": "wikitq-03889",
"question": "Under destroyer escort, Italy used the Alpino-class frigate in 1968. what was its top speed?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikitq-03890",
"question": "What is the speed difference between GMT class and Te class for destroyer escort?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-03891",
"question": "How many consecutive escorts were there for destroyer escorts in 1943?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Alvand-class frigate"
],
"style": "rule"
} | {
"answer": [
"Alvand-class frigate"
],
"id": "wikitq-03892",
"question": "Which of the listed Destroyer Escort boats is the fastest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"40 knots"
],
"style": "rule"
} | {
"answer": [
"40 knots"
],
"id": "wikitq-03893",
"question": "What is the maximum speed of the destroyer escort?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"United States International University"
],
"style": "rule"
} | {
"answer": [
"United States International University"
],
"id": "wikitq-03894",
"question": "When did Steven Smith enter the 1998 College PBA Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"William Antonio"
],
"style": "rule"
} | {
"answer": [
"William Antonio"
],
"id": "wikitq-03895",
"question": "Which player was selected directly through Calpito in the 1998 PBA Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8"
],
"style": "rule"
} | {
"answer": [
"8"
],
"id": "wikitq-03896",
"question": "Was Steven Smith Pick #5 or #8 in the 1998 PBA Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Noy Castillo"
],
"style": "rule"
} | {
"answer": [
"Noy Castillo"
],
"id": "wikitq-03897",
"question": "Who was the top player selected by the Citadel in the 1998 PBA draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Danilo Ildefonso",
"Brixter Encarnacion",
"Banjo Calpito",
"Henry Fernandez"
],
"style": "rule"
} | {
"answer": [
"Danilo Ildefonso",
"Brixter Encarnacion",
"Banjo Calpito",
"Henry Fernandez"
],
"id": "wikitq-03898",
"question": "Which players are not included in the 1998 United States PBA draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikitq-03899",
"question": "How many from the philippines1998 PBA draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Pop Cola 800s"
],
"style": "rule"
} | {
"answer": [
"Pop Cola 800s"
],
"id": "wikitq-03900",
"question": "Which team had more players in the 1998 PBA Draft, Pop Cola or Gordon's?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Córdoba CF"
],
"style": "rule"
} | {
"answer": [
"Córdoba CF"
],
"id": "wikitq-03906",
"question": "Which team finished first in the Segunda División in La Liga in 1961-62?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-03907",
"question": "How many points did the top team score before bottom in the 1961-62 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": [
"CD Mestalla"
],
"style": "rule"
} | {
"answer": [
"CD Mestalla"
],
"id": "wikitq-03908",
"question": "Which club had 27 points and +1 goal difference in the 1961–62 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": [
"28"
],
"style": "rule"
} | {
"answer": [
"28"
],
"id": "wikitq-03909",
"question": "What is the difference in points between the first team and the last team in the 1961–62 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": [
"Recreativo de Huelva"
],
"style": "rule"
} | {
"answer": [
"Recreativo de Huelva"
],
"id": "wikitq-03910",
"question": "What other club had 13 wins but more points than cd cartagena in the 1961–62 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": [
"CD Málaga"
],
"style": "rule"
} | {
"answer": [
"CD Málaga"
],
"id": "wikitq-03911",
"question": "Which team became second division after Córdoba CF 1961-62?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"55"
],
"style": "rule"
} | {
"answer": [
"55"
],
"id": "wikitq-03912",
"question": "How many goals did Hercules CF Club score during the 1961/62 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": [
"CD Villarrobledo"
],
"style": "rule"
} | {
"answer": [
"CD Villarrobledo"
],
"id": "wikitq-03913",
"question": "Which club had only four wins in total in the 1961/62 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": [
"Córdoba CF"
],
"style": "rule"
} | {
"answer": [
"Córdoba CF"
],
"id": "wikitq-03914",
"question": "Which Segunda División club scored the most points in the 1961/62 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": [
"40"
],
"style": "rule"
} | {
"answer": [
"40"
],
"id": "wikitq-03915",
"question": "What is the total number of points scored by the first place team in the 1961–62 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": [
"CD Villarrobledo"
],
"style": "rule"
} | {
"answer": [
"CD Villarrobledo"
],
"id": "wikitq-03916",
"question": "Which team from 1961-62 Segunda División had the worst goal difference in the 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": [
"CD Villarrobledo"
],
"style": "rule"
} | {
"answer": [
"CD Villarrobledo"
],
"id": "wikitq-03917",
"question": "Which is the only team to lose more than 21 times in the 1961-62 Segunda Division?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Córdoba CF"
],
"style": "rule"
} | {
"answer": [
"Córdoba CF"
],
"id": "wikitq-03918",
"question": "Which team of the 1961–62 Segunda División finished top of the standings?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Atlético Ceuta"
],
"style": "rule"
} | {
"answer": [
"Atlético Ceuta"
],
"id": "wikitq-03919",
"question": "Against which club did the Segunda División have the same goals as Granada cf in 1961/62?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikitq-03920",
"question": "What is the difference between the points earned by Cordoba and the points earned by CD Villarrobledo in the 1961-62 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": [
"Stapleton"
],
"style": "rule"
} | {
"answer": [
"Stapleton"
],
"id": "wikitq-03921",
"question": "In 1984/85 Manchester United FC season, who is the only one to score against Videoton this season in the game on 6 March?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"48278"
],
"style": "rule"
} | {
"answer": [
"48278"
],
"id": "wikitq-03922",
"question": "How many spectators attended the most a single game of Manchester United FC this season in 1984/85 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": [
"33119"
],
"style": "rule"
} | {
"answer": [
"33119"
],
"id": "wikitq-03923",
"question": "From the 1984-85 Manchester United FC list, what was the total attendance for the game on 19 September 1984?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"25000"
],
"style": "rule"
} | {
"answer": [
"25000"
],
"id": "wikitq-03924",
"question": "What was the attendance of Manchester United FC's last UEFA Cup match in the 1984/85 season on 20 March 1985?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 November 1984"
],
"style": "rule"
} | {
"answer": [
"28 November 1984"
],
"id": "wikitq-03925",
"question": "Which game had the most fans in Manchester United FC in 1984/85?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Troy Bayliss"
],
"style": "rule"
} | {
"answer": [
"Troy Bayliss"
],
"id": "wikitq-03928",
"question": "Who was on top in the 2007 Phillip Island Superbike World Championship in the Superbike Race 1 classification?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lorenzo Lanzi"
],
"style": "rule"
} | {
"answer": [
"Lorenzo Lanzi"
],
"id": "wikitq-03929",
"question": "Who will ride a bike identical to Troy Bayliss in the 2007 World Superbike Championship at Phillip Island?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"18"
],
"style": "rule"
} | {
"answer": [
"18"
],
"id": "wikitq-03930",
"question": "What is the number of non-retired riders for the 2007 Phillip Island Superbike World Championship round?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikitq-03931",
"question": "What was the points difference between positions 1 and 2 in the 2007 Phillip Island Superbike World Championship Superbike Race 1 classification?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 May 1979"
],
"style": "rule"
} | {
"answer": [
"1 May 1979"
],
"id": "wikitq-03932",
"question": "Which Wigan Athletic FC match in the 1978/79 season was attended by the fewest people?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"11"
],
"style": "rule"
} | {
"answer": [
"11"
],
"id": "wikitq-03933",
"question": "How many games did Wigan Athletic FC have a crowd of at least 7,500 in the 1978/79 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": [
"6"
],
"style": "rule"
} | {
"answer": [
"6"
],
"id": "wikitq-03934",
"question": "How many drivers did not finish the race because of an engine failure at the 1967 British 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": [
"Jim Clark"
],
"style": "rule"
} | {
"answer": [
"Jim Clark"
],
"id": "wikitq-03935",
"question": "Who was the best driver in the 1967 British 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": [
"13"
],
"style": "rule"
} | {
"answer": [
"13"
],
"id": "wikitq-03936",
"question": "How many drivers completed at least 40 laps in the 1967 British 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": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikitq-03937",
"question": "How many points did Chris Amon earn in the 1967 British 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": [
"18"
],
"style": "rule"
} | {
"answer": [
"18"
],
"id": "wikitq-03938",
"question": "How many drivers had manufacturers other than Brabham Repco at the 1967 British 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": [
"Pedro Rodriguez"
],
"style": "rule"
} | {
"answer": [
"Pedro Rodriguez"
],
"id": "wikitq-03939",
"question": "After Jack Brabham, which driver finished the 1967 British 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": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikitq-03940",
"question": "What is the points difference between Chris Amon and Jim Clark in the 1967 British Grand Prix?",
"split": "train"
} |
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