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": [
"Jefferson"
],
"style": "rule"
} | {
"answer": [
"Jefferson"
],
"id": "wikisql-55969",
"question": "What is the County of Districts 515 in the United States Senate Election in Kentucky, 2008?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"30%"
],
"style": "rule"
} | {
"answer": [
"30%"
],
"id": "wikisql-55974",
"question": "What is the percentage of Shivalik zone where the percentage of mid hill zone is 10% in Himachal Pradesh climate?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"800m-1,600m"
],
"style": "rule"
} | {
"answer": [
"800m-1,600m"
],
"id": "wikisql-55975",
"question": "What is the altitude for the mid-hill zone in the climate of Himachal Pradesh?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Dry and extremely cold conditions"
],
"style": "rule"
} | {
"answer": [
"Dry and extremely cold conditions"
],
"id": "wikisql-55976",
"question": "What are the climatic conditions for the trance-n-himalaya zone in the climate of Himachal Pradesh?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"35%"
],
"style": "rule"
} | {
"answer": [
"35%"
],
"id": "wikisql-55977",
"question": "What is the percentage of trance n Himalayan zone that corresponds to the 25% high hill zone in the climate of Himachal Pradesh?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"9"
],
"style": "rule"
} | {
"answer": [
"9"
],
"id": "wikisql-55978",
"question": "Which podiums did the Williams team have with a margin of 2 losses among the runners-up in the Formula 1 World Drivers' Championship?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-55979",
"question": "From the list of runners-up in the Formula 1 World Drivers' Championship, how many Williams team drivers had a difference of 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-55980",
"question": "How many seasons was Clay Regazzoni the driver among the runners-up in the Formula 1 World Drivers' Championship?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"12"
],
"style": "rule"
} | {
"answer": [
"12"
],
"id": "wikisql-55981",
"question": "What was the defeat rate for the runner-up in the Formula 1 Drivers' World Championship with 30 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": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikisql-55982",
"question": "Which podium finishes did the Alfa Romeo team have among the runners-up in the Formula 1 Drivers' World Championship?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Alangudi Somu"
],
"style": "rule"
} | {
"answer": [
"Alangudi Somu"
],
"id": "wikisql-55988",
"question": "Who is the lyricist under the Azhagiya Tamil Magan song with a length of 3:05?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ponmagal Vandaal"
],
"style": "rule"
} | {
"answer": [
"Ponmagal Vandaal"
],
"id": "wikisql-55989",
"question": "Which Azhagiya Tamil Magan song is 3:05 in length?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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. Muthukumar"
],
"style": "rule"
} | {
"answer": [
"Na. Muthukumar"
],
"id": "wikisql-55990",
"question": "Which lyricist under Azhagiya Tamil Magan has a song length 6:14?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-55991",
"question": "What is Azhagiya Tamil Magan's highest track number in Malayalam songs 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": [
"Ellappugazhum"
],
"style": "rule"
} | {
"answer": [
"Ellappugazhum"
],
"id": "wikisql-55992",
"question": "Which song was only represented by Vijay under Azhagiya Tamil Magan?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mohammed Aslam , Ember Phoenix"
],
"style": "rule"
} | {
"answer": [
"Mohammed Aslam , Ember Phoenix"
],
"id": "wikisql-55993",
"question": "Which singers was Alangudi Somu the lyricist for among the Azhagiya Tamil Magan?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1.2"
],
"style": "rule"
} | {
"answer": [
"1.2"
],
"id": "wikisql-56024",
"question": "What was the Dirty Sexy Money rating (millions) for the episode with 1.83 viewers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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": "wikisql-56025",
"question": "What was the # for the Dirty Sexy Money episode \"The Birthday Present\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-56026",
"question": "What was the number of Dirty Sexy Money episode \"The Wedding\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1.2"
],
"style": "rule"
} | {
"answer": [
"1.2"
],
"id": "wikisql-56027",
"question": "What's the rating for the episode where the 18-49 rating is 0.4 on Dirty Sexy Money?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"TBA"
],
"style": "rule"
} | {
"answer": [
"TBA"
],
"id": "wikisql-56028",
"question": "What was the share for the Dirty Sexy Money episode that aired December 10, 2008?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2006-07-20 20-07-2006"
],
"style": "rule"
} | {
"answer": [
"2006-07-20 20-07-2006"
],
"id": "wikisql-56029",
"question": "From the list of So You Think You Can Dance, which premiered languages in Danish?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-56030",
"question": "How many channels did So You Think You Can Dance have in New Zealand?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2013-04-13 13-04-2013"
],
"style": "rule"
} | {
"answer": [
"2013-04-13 13-04-2013"
],
"id": "wikisql-56031",
"question": "What is the premiere of So You Think You Can Dance hosted by Lieke van Lexmond Dennis Weening?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2007-02-01 01-02-2007"
],
"style": "rule"
} | {
"answer": [
"2007-02-01 01-02-2007"
],
"id": "wikisql-56032",
"question": "What's the mega channel premiere for So You Think You Can Dance?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"WP in China"
],
"style": "rule"
} | {
"answer": [
"WP in China"
],
"id": "wikisql-56033",
"question": "What is the symbol of wind power in China in the list of renewable energy topics by country?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Roberta Lockhart"
],
"style": "rule"
} | {
"answer": [
"Roberta Lockhart"
],
"id": "wikisql-56034",
"question": "What is the Principal's Dysart for the Dysart Unified School District?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Anthony Capuano"
],
"style": "rule"
} | {
"answer": [
"Anthony Capuano"
],
"id": "wikisql-56035",
"question": "What is Roberta Lockhart's Williow Canyon in the Dysart Unified School District?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Wildcat"
],
"style": "rule"
} | {
"answer": [
"Wildcat"
],
"id": "wikisql-56036",
"question": "What is Stallion's Willow Canyon in the Dysart Unified School District?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Dr. Tammy Hall"
],
"style": "rule"
} | {
"answer": [
"Dr. Tammy Hall"
],
"id": "wikisql-56037",
"question": "Name Anthony Capuano's Valley Vista in the Dysart Unified School District?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-56038",
"question": "How much information does Michael Hawkins have in the Dysart Unified School District?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"17.180"
],
"style": "rule"
} | {
"answer": [
"17.180"
],
"id": "wikisql-56070",
"question": "What model number has a GVM (kg) Technical Capacity of 16000 and Torque Nm@rpm of 600 @ 1700 from Volkswagen Worker?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14500"
],
"style": "rule"
} | {
"answer": [
"14500"
],
"id": "wikisql-56071",
"question": "If the model is 15.180e, what is the GVM (kg) technical capacity among the Volkswagen workers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"600 @ 1700"
],
"style": "rule"
} | {
"answer": [
"600 @ 1700"
],
"id": "wikisql-56072",
"question": "From Volkswagen Worker data, if the engine brand/capacity is MWM 6.10 TCA-EURO III (turbo intercooler) and the GVM (kg) technical capacity is 23000, what is the torque in Nm at rpm?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-56073",
"question": "What is the power kw@RPM of the Volkswagen Worker model 13.180?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"28800"
],
"style": "rule"
} | {
"answer": [
"28800"
],
"id": "wikisql-56074",
"question": "From Volkswagen Worker list, if gearbox brand/type/speed is Eaton fs 5306-a manual 6 speed synchro, what is the technical capacity value in gcm (kg)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"24.220"
],
"style": "rule"
} | {
"answer": [
"24.220"
],
"id": "wikisql-56075",
"question": "Which Volkswagen Worker model has an Eaton fs-6306 gearbox make/type/speed manual 6-speed synchromesh?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6.972 (3)"
],
"style": "rule"
} | {
"answer": [
"6.972 (3)"
],
"id": "wikisql-56088",
"question": "What is the average of the Spanish delegates for Miss Universe 1978?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4.422 (10)"
],
"style": "rule"
} | {
"answer": [
"4.422 (10)"
],
"id": "wikisql-56089",
"question": "Name the interview for the Peru delegate to Miss Universe 1978?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-56090",
"question": "Under Miss Universe 1978, what is the number of bathing suits for Israel?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6.590 (4)"
],
"style": "rule"
} | {
"answer": [
"6.590 (4)"
],
"id": "wikisql-56091",
"question": "What are the swimsuits for South Africa in Miss Universe 1978?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8.91"
],
"style": "rule"
} | {
"answer": [
"8.91"
],
"id": "wikisql-56112",
"question": "Who had an evening dress grade of 9.78 for Miss Teen USA 1998?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-56113",
"question": "How many interviews were there for Miss Teen USA 1998 under Miss Virginia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-56114",
"question": "Who had a 9.87 swimsuit score for Miss Teen USA 1998?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Texas"
],
"style": "rule"
} | {
"answer": [
"Texas"
],
"id": "wikisql-56115",
"question": "Who had an evening dress grade of 9.82 for Miss Teen USA in 1998?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-56116",
"question": "How many ladies scored a 9.89 for the evening gown at Miss Teen USA 1998?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8.94"
],
"style": "rule"
} | {
"answer": [
"8.94"
],
"id": "wikisql-56117",
"question": "Considering Miss Teen USA 1998, who scored a 9.72 in a swimsuit?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 AEC of hp (kW)"
],
"style": "rule"
} | {
"answer": [
"2 AEC of hp (kW)"
],
"id": "wikisql-56131",
"question": "What is the engine where the manufacturer is Gloucester RCW and which was retired under the GWR railcars in 1959?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2 AEC of hp (kW)"
],
"style": "rule"
} | {
"answer": [
"2 AEC of hp (kW)"
],
"id": "wikisql-56132",
"question": "What is the 8-9, 13-16 number range locomotive among the GWR railcars?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1936"
],
"style": "rule"
} | {
"answer": [
"1936"
],
"id": "wikisql-56133",
"question": "What was introduced in 1946 after a fire for GWR railcars where grades 9 were withdrawn?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Park Royal"
],
"style": "rule"
} | {
"answer": [
"Park Royal"
],
"id": "wikisql-56134",
"question": "Which manufacturer retired under the GWR railcars in 1954–1958?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Parcels car, capacity long tons (t; short tons)"
],
"style": "rule"
} | {
"answer": [
"Parcels car, capacity long tons (t; short tons)"
],
"id": "wikisql-56135",
"question": "What are the grades if the number range is 17 on GWR railcars?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lavatory fitted"
],
"style": "rule"
} | {
"answer": [
"Lavatory fitted"
],
"id": "wikisql-56136",
"question": "What are the notes where 1956–57 were withdrawn for GWR railcars?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"L&BR"
],
"style": "rule"
} | {
"answer": [
"L&BR"
],
"id": "wikisql-56142",
"question": "What was the 1845 divestment of the London and Croydon Railway in Sussex?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6"
],
"style": "rule"
} | {
"answer": [
"6"
],
"id": "wikisql-56143",
"question": "What was the maximum L&CR number for Archimedes between London and Croydon Railway?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2-2-2"
],
"style": "rule"
} | {
"answer": [
"2-2-2"
],
"id": "wikisql-56144",
"question": "What type was the London and Croydon Railway in Sussex?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hutt",
"Hutt"
],
"style": "rule"
} | {
"answer": [
"Hutt",
"Hutt"
],
"id": "wikisql-56152",
"question": "What is the electorate where the election date is 16 can't handle a non-empty timestamp argument! under the New Zealand general election, 1855 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Auckland"
],
"style": "rule"
} | {
"answer": [
"Auckland"
],
"id": "wikisql-56153",
"question": "What is the province that Frederick Merriman is a member of?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Cannot handle non-empty timestamp argument!"
],
"style": "rule"
} | {
"answer": [
"10 Cannot handle non-empty timestamp argument!"
],
"id": "wikisql-56154",
"question": "What is the voting date for the New Zealand general election, 1855, where the electorate is omata?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Cannot handle non-empty timestamp argument!"
],
"style": "rule"
} | {
"answer": [
"5 Cannot handle non-empty timestamp argument!"
],
"id": "wikisql-56155",
"question": "At the New Zealand general election, 1855, what is the election date that William Richmond is on?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Canterbury"
],
"style": "rule"
} | {
"answer": [
"Canterbury"
],
"id": "wikisql-56156",
"question": "What is the province that Dingley Brittin is a member of?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Cannot handle non-empty timestamp argument!",
"20 Cannot handle non-empty timestamp argument!"
],
"style": "rule"
} | {
"answer": [
"20 Cannot handle non-empty timestamp argument!",
"20 Cannot handle non-empty timestamp argument!"
],
"id": "wikisql-56157",
"question": "What is the election date in which the voters are Christchurch country in the 1855 New Zealand general election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Harlan Huckleby"
],
"style": "rule"
} | {
"answer": [
"Harlan Huckleby"
],
"id": "wikisql-56168",
"question": "What is the name of Cass Technical High School when it was born on December 30, 1957 in Detroit, MI?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"185"
],
"style": "rule"
} | {
"answer": [
"185"
],
"id": "wikisql-56169",
"question": "What is the weight (kg) at birth on April 6, 1954 in Detroit, Mi under Cass Technical High School?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Vernon Gholston"
],
"style": "rule"
} | {
"answer": [
"Vernon Gholston"
],
"id": "wikisql-56170",
"question": "What is the name if the location is de and the college is Ohio State under Cass Technical High School?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Undrafted"
],
"style": "rule"
} | {
"answer": [
"Undrafted"
],
"id": "wikisql-56171",
"question": "What is underdeveloped when the Arizona Cardinals pro team is under Cass Technical High School?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"DE"
],
"style": "rule"
} | {
"answer": [
"DE"
],
"id": "wikisql-56172",
"question": "What is the position when drafted for Cass Technical High School 1974, r11, p11?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Junior"
],
"style": "rule"
} | {
"answer": [
"Junior"
],
"id": "wikisql-56173",
"question": "What year was the weight 170 for the 1977-78 Texas Longhorns men's basketball 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-56174",
"question": "What number (#) is associated with the name Ron Baxter on the Texas Longhorns men's basketball team of 1977–78?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"41"
],
"style": "rule"
} | {
"answer": [
"41"
],
"id": "wikisql-56175",
"question": "What number (#) did the Texas Longhorns men's basketball team have in 1977–78, Crockett High School?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Baton Rouge, LA"
],
"style": "rule"
} | {
"answer": [
"Baton Rouge, LA"
],
"id": "wikisql-56176",
"question": "In which hometown was the Texas Longhorns basketball team's Catholic high school located in 1977–78?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-56177",
"question": "From 1977 to 1978 Texas Longhorns men's basketball team, how many years hometown Baton Rouge, LA?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6–8"
],
"style": "rule"
} | {
"answer": [
"6–8"
],
"id": "wikisql-56178",
"question": "What was the forward position at Crockett High School for the Texas Longhorns men's basketball team from 1977-1978?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1996"
],
"style": "rule"
} | {
"answer": [
"1996"
],
"id": "wikisql-56179",
"question": "The earliest year is 1996 for tropical Africa?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 (100)"
],
"style": "rule"
} | {
"answer": [
"5 (100)"
],
"id": "wikisql-56180",
"question": "There are 5 imports of plywood under Tropical Africa. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8.608"
],
"style": "rule"
} | {
"answer": [
"8.608"
],
"id": "wikisql-56182",
"question": "What is the interview score if the preliminary round score is 8,400 for Miss Teen USA 1987?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8.908"
],
"style": "rule"
} | {
"answer": [
"8.908"
],
"id": "wikisql-56183",
"question": "What is the swimsuit score when the Miss Teen USA 1987 average is 8,791?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8.811"
],
"style": "rule"
} | {
"answer": [
"8.811"
],
"id": "wikisql-56184",
"question": "What is the New York State interview score for Miss Teen USA 1987?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-56185",
"question": "How many times did District of Columbia receive a score for the evening dress in Miss Teen USA 1987?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8.663"
],
"style": "rule"
} | {
"answer": [
"8.663"
],
"id": "wikisql-56186",
"question": "What is the average Miss Teen USA 1987 score if the swimsuit score is 8,503?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-56187",
"question": "What is the 1967 American Football League draft defenseman's pick number?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Offensive Guard"
],
"style": "rule"
} | {
"answer": [
"Offensive Guard"
],
"id": "wikisql-56188",
"question": "What is the position for pick number 17 in the 1967 American Football League 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": [
"Arizona State"
],
"style": "rule"
} | {
"answer": [
"Arizona State"
],
"id": "wikisql-56189",
"question": "What is the college of the Buffalo Bills AFL team in the 1967 American Football League 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": [
"Defensive Back"
],
"style": "rule"
} | {
"answer": [
"Defensive Back"
],
"id": "wikisql-56190",
"question": "What position did John Charles have in the 1967 American Football League 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": [
"12"
],
"style": "rule"
} | {
"answer": [
"12"
],
"id": "wikisql-56191",
"question": "What is the New York Jets' Biggest Pick Number from the 1967 American Football League 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": [
"New York Jets",
"Oakland Raiders",
"Buffalo Bills",
"Houston Oilers"
],
"style": "rule"
} | {
"answer": [
"New York Jets",
"Oakland Raiders",
"Buffalo Bills",
"Houston Oilers"
],
"id": "wikisql-56192",
"question": "The afl offensive guard team from the 1967 American Football League 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-56196",
"question": "What is the total number of publishers whose cover date is May 1939 among first releases?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"July 1939"
],
"style": "rule"
} | {
"answer": [
"July 1939"
],
"id": "wikisql-56198",
"question": "What is the cover date for character(s) Wesley Dodds' first appearance in Sandman (wesley dodds)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"September 1963"
],
"style": "rule"
} | {
"answer": [
"September 1963"
],
"id": "wikisql-56199",
"question": "What's the Cover Date Characters Are X-Men? Magneto from First Appearance ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"$45,150"
],
"style": "rule"
} | {
"answer": [
"$45,150"
],
"id": "wikisql-56200",
"question": "What is the estimated value if the cover date is August 1962 for the first appearance?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Winner"
],
"style": "rule"
} | {
"answer": [
"Winner"
],
"id": "wikisql-56201",
"question": "What was the third theme for Carlos Peña (singer) in the final?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Auditioner`s Choice",
"Auditioner`s Choice"
],
"style": "rule"
} | {
"answer": [
"Auditioner`s Choice",
"Auditioner`s Choice"
],
"id": "wikisql-56202",
"question": "What is the theme for the episode selection process for Carlos Peña (singer)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-56203",
"question": "What is the order number for the song selection \"detalles\" for Carlos Peña (singer) ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"N/A"
],
"style": "rule"
} | {
"answer": [
"N/A"
],
"id": "wikisql-56204",
"question": "What is the order number for songs by original artist Luis Fonsi under Carlos Peña (singer)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Auditioner`s Choice",
"Auditioner`s Choice"
],
"style": "rule"
} | {
"answer": [
"Auditioner`s Choice",
"Auditioner`s Choice"
],
"id": "wikisql-56205",
"question": "What is the song selection if the theme for Carlos Peña (singer) is not broadcast?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Abhinn Shyam Gupta"
],
"style": "rule"
} | {
"answer": [
"Abhinn Shyam Gupta"
],
"id": "wikisql-56206",
"question": "From the Indian National Badminton Championships list, in which years did Markose Bristow Madhumita Bisht win the men's singles and/or mixed doubles?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jwala Gutta Shruti Kurian"
],
"style": "rule"
} | {
"answer": [
"Jwala Gutta Shruti Kurian"
],
"id": "wikisql-56207",
"question": "Who won the women's doubles at the 2002 Indian National Badminton Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-56208",
"question": "How many overall titles have Rupesh Kumar Sanave Thomas and Jwala Gutta Ashwini Ponnappa won in total at the Indian National Badminton Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jwala Gutta Shruti Kurian"
],
"style": "rule"
} | {
"answer": [
"Jwala Gutta Shruti Kurian"
],
"id": "wikisql-56209",
"question": "In what years did Arvind Bhat or Valiyaveetil Diju Jwala Gutta win the Indian National Badminton Championships in women's doubles and men's singles?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jwala Gutta Ashwini Ponnappa"
],
"style": "rule"
} | {
"answer": [
"Jwala Gutta Ashwini Ponnappa"
],
"id": "wikisql-56210",
"question": "How many titles has Trupti Murgunde won at the Indian National Badminton Championships?",
"split": "train"
} |
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