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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-02597",
"question": "How many teams finished 76th in Robby Gordon's NASCAR Sprint Cup Series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-02598",
"question": "What is the maximum number of wins for Robby Gordon in the NASCAR Sprint Cup Series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"#7 Robby Gordon Motorsports"
],
"style": "rule"
} | {
"answer": [
"#7 Robby Gordon Motorsports"
],
"id": "wikisql-02599",
"question": "Which teams won the 2007 NASCAR Sprint Cup Series Robby Gordon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-02600",
"question": "How many entries are there for the top 10 for 78th place Robby Gordon's NASCAR Nationwide Series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-02601",
"question": "Where does Team No. 55/No. 83 by Robby Gordon Motorsports in top 10 of NASCAR Nationwide Series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-02602",
"question": "How many entries will be shown for Team #07 Robby Gordon Motorsports prizes in Robby Gordon's NASCAR Nationwide Series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"–8"
],
"style": "rule"
} | {
"answer": [
"–8"
],
"id": "wikisql-02603",
"question": "What are all the values for 'to par' for the win result of 67-67-69-69=272 for Lee Janzen among the PGA Tour wins 8?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jun 12, 1994"
],
"style": "rule"
} | {
"answer": [
"Jun 12, 1994"
],
"id": "wikisql-02604",
"question": "What is Lee Janzen's Buick Classic tournament held on PGA Tour wins (8) dates?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Andrew Magee"
],
"style": "rule"
} | {
"answer": [
"Andrew Magee"
],
"id": "wikisql-02605",
"question": "Who are all the runners-up for #2 for Lee Janzen's PGA Tour wins (8)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rum"
],
"style": "rule"
} | {
"answer": [
"Rum"
],
"id": "wikisql-02614",
"question": "What is segment B for series episode 12-08 from List of How It's Made Season 12: 2008 2009?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"12-09"
],
"style": "rule"
} | {
"answer": [
"12-09"
],
"id": "wikisql-02615",
"question": "What is the series episode in the list of Season 12: 2008 2009's How It's Made episodes where segment B is popcorn?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Artificial Christmas Trees"
],
"style": "rule"
} | {
"answer": [
"Artificial Christmas Trees"
],
"id": "wikisql-02617",
"question": "From How It's Made episodes list what is season 12 2008 2009 B segment for series episode 12-02?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"s Escalator"
],
"style": "rule"
} | {
"answer": [
"s Escalator"
],
"id": "wikisql-02618",
"question": "What is segment A where segment B is Kevlar S Canoe among How It's Made episodes list of season 12 2008 2009?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"S06E20"
],
"style": "rule"
} | {
"answer": [
"S06E20"
],
"id": "wikisql-02619",
"question": "What is the Netflix where segment D gauge is from Season 12 2008 2009 How It's Made episodes 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": [
"Radar Guns"
],
"style": "rule"
} | {
"answer": [
"Radar Guns"
],
"id": "wikisql-02620",
"question": "From How It's Made episodes list, name segment d for bowling balls in season 13: 2009 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mechanical Singing Birds"
],
"style": "rule"
} | {
"answer": [
"Mechanical Singing Birds"
],
"id": "wikisql-02621",
"question": "From How It's Made episodes list, name segment b for pressure cookers season 13: 2009?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Flatware"
],
"style": "rule"
} | {
"answer": [
"Flatware"
],
"id": "wikisql-02622",
"question": "In season 13 2009, what is the name of segment b for 167 under the How It's Made episode 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": [
"Gears"
],
"style": "rule"
} | {
"answer": [
"Gears"
],
"id": "wikisql-02623",
"question": "Name the segment a for 162 from the 2009 season 13 How It's Made episode 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-02624",
"question": "Under How It's Made episodes, give the total number of segment c for pressure cookers in season 13: 2009?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-02625",
"question": "Name the crash test dummy segment in how it's made episodes list season 10: 2007 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": [
"s Boat Propeller"
],
"style": "rule"
} | {
"answer": [
"s Boat Propeller"
],
"id": "wikisql-02626",
"question": "Name segment b for dress form in how it's made episodes list season 10: 2007 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": [
"s Dress Form"
],
"style": "rule"
} | {
"answer": [
"s Dress Form"
],
"id": "wikisql-02627",
"question": "Name the segment a for s duvet in the episodes of List of How It's Made. Season 10: 2007-2008 ?",
"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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-02628",
"question": "From the How It's Made episodes list, what is the total number of season 10 episodes: 2007 2008 for s Fire Extinguisher ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-02629",
"question": "For a list of How It's Made episodes, give the total of season 10: 2007 2008 segment b for s banjo. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-02630",
"question": "Give the total number of segments d for wooden barrel for List of How It's Made Season 10 2007 2008 episodes. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"S08E01"
],
"style": "rule"
} | {
"answer": [
"S08E01"
],
"id": "wikisql-02631",
"question": "What is the Netflix episode number under the List of How It's Made episodes where Segment D from Season 15: 2010 are High Performance Engines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Retractile Cords"
],
"style": "rule"
} | {
"answer": [
"Retractile Cords"
],
"id": "wikisql-02633",
"question": "List of How It's Made episodes, what is segment A where is segment C sushi (part 1) in Season 15: 2010?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-02634",
"question": "How many episodes of List of How It's Made is Netflix season 15:2010 with episode number S08E04?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-02640",
"question": "Among the episodes list of How It's Made season 18 2011 2012, give the number of episodes for segment C which is an oyster?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"229"
],
"style": "rule"
} | {
"answer": [
"229"
],
"id": "wikisql-02641",
"question": "Under How It's Made episodes list, list the fewest episodes for fiber cement siding season 18: 2011-2012 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"s Awning"
],
"style": "rule"
} | {
"answer": [
"s Awning"
],
"id": "wikisql-02642",
"question": "Name segment b of How It's Made seasons 18 2011 2012 episodes of 226. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-02643",
"question": "Name the number of section d for solar water heater for Season 18: 2011-2012 List of How It's Made Episodes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Earthenware Pottery"
],
"style": "rule"
} | {
"answer": [
"Earthenware Pottery"
],
"id": "wikisql-02644",
"question": "Name segment d for s cufflink in season 18 list: 2011 2012 episodes How It's Made ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-02645",
"question": "From How It's Made episodes list, what is the last episode in season 4: 2004 that has segment d as blown glass?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"46"
],
"style": "rule"
} | {
"answer": [
"46"
],
"id": "wikisql-02646",
"question": "What is the first episode under the list of episodes of 2004 season 4 of How it's Made with Netflix episode code of s02e20?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"S02E20"
],
"style": "rule"
} | {
"answer": [
"S02E20"
],
"id": "wikisql-02647",
"question": "What is the Netflix code for episode 46 of season 4: 2004 list of manufacture?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"S02E24"
],
"style": "rule"
} | {
"answer": [
"S02E24"
],
"id": "wikisql-02648",
"question": "What is the Netflix code where the series and episode 4-11 are for List of How It's Made 2004 season 4 episodes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-02654",
"question": "From How It's Made episodes list, what is the number of episodes of Phyllo-Dough season 3: 2003 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"s Eraser"
],
"style": "rule"
} | {
"answer": [
"s Eraser"
],
"id": "wikisql-02655",
"question": "What is the name of the d segment in the 2003 List of How It's Made episodes season 3 for combination locks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3-08"
],
"style": "rule"
} | {
"answer": [
"3-08"
],
"id": "wikisql-02656",
"question": "Name the series for How It's Made episodes for s02e08 season 3:2003?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Modelling Dough"
],
"style": "rule"
} | {
"answer": [
"Modelling Dough"
],
"id": "wikisql-02657",
"question": "In How It's Made episodes list, name segment c for couscous from Season 3:2003?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"s Recreational Vehicle"
],
"style": "rule"
} | {
"answer": [
"s Recreational Vehicle"
],
"id": "wikisql-02658",
"question": "In the list of How It's Made episodes Season 3: 2003, name segment c for pottery?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"s Video Game"
],
"style": "rule"
} | {
"answer": [
"s Video Game"
],
"id": "wikisql-02659",
"question": "For How It's Made episodes list, name segment d for chicken in Season 3: 2003 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Aug 17"
],
"style": "rule"
} | {
"answer": [
"Aug 17"
],
"id": "wikisql-02701",
"question": "What day did the Jeld-Wen tradition take place under the 2008 Champions Tour Tournament Results?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mar 9"
],
"style": "rule"
} | {
"answer": [
"Mar 9"
],
"id": "wikisql-02702",
"question": "On which day did Bernhard Langer (2) win in the 2008 tournament results at the Champions Tour?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"May 18"
],
"style": "rule"
} | {
"answer": [
"May 18"
],
"id": "wikisql-02703",
"question": "What day of the 2008 Champions Tour was the Alabama's Tournament held?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"390000"
],
"style": "rule"
} | {
"answer": [
"390000"
],
"id": "wikisql-02704",
"question": "What was the value of 1st prize at 271 (-9) in the 2008 Champions Tour tournament results?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sep 14"
],
"style": "rule"
} | {
"answer": [
"Sep 14"
],
"id": "wikisql-02705",
"question": "On which day of the Champions Tour 2008 were the tournament results 200 (-16)'?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Florida"
],
"style": "rule"
} | {
"answer": [
"Florida"
],
"id": "wikisql-02706",
"question": "Where did the Outback Steakhouse Pro-AM take place among the 2008 Champions Tour Tournament Results?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tuesday 8:30pm"
],
"style": "rule"
} | {
"answer": [
"Tuesday 8:30pm"
],
"id": "wikisql-02713",
"question": "What is the Series Ratings time slot during Season 3 of Packed to the Rafters?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3P"
],
"style": "rule"
} | {
"answer": [
"3P"
],
"id": "wikisql-02724",
"question": "What is the LMS class of train under the Glasgow and South Western Railway locomotives numbered 14510-5 under the Peter Drummond (1911 - 1918) locomotives?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1913"
],
"style": "rule"
} | {
"answer": [
"1913"
],
"id": "wikisql-02725",
"question": "How old are the 279 wheels on the Glasgow and South Western Railway Peter Drummond (1911-1918) locomotives?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0-6-2T"
],
"style": "rule"
} | {
"answer": [
"0-6-2T"
],
"id": "wikisql-02726",
"question": "What class is the Glasgow and South Western Railway locomotive if Peter Drummond (1911-1918) is of LMS 3F?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14516-21"
],
"style": "rule"
} | {
"answer": [
"14516-21"
],
"id": "wikisql-02727",
"question": "What is the LMS number of the trains built by G&SWR Kilmarnock under the Glasgow and South Western Railway, Peter Drummond (1911-1918) locomotives?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-02728",
"question": "How many numbers are there for wheels for LMS numbers 16377-9 under Locomotives of the Glasgow and South Western Railway's Peter Drummond 1911 1918 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"North British"
],
"style": "rule"
} | {
"answer": [
"North British"
],
"id": "wikisql-02729",
"question": "What is the builder of the LMS Class 3f train under Glasgow and South Western Railway locomotives Peter Drummond (1911-1918) ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Saint Benilde"
],
"style": "rule"
} | {
"answer": [
"Saint Benilde"
],
"id": "wikisql-02739",
"question": "From the Powerade Tigers all-time S-list, which school/club team had the 2012 season and was acquired through trade?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Washington"
],
"style": "rule"
} | {
"answer": [
"Washington"
],
"id": "wikisql-02740",
"question": "Which school/club team has a player named Mark Sanford from the Powerade Tigers all-time advanced roster?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-02741",
"question": "how many school/club teams have a player named manuel luis quezon in the powerade tigers all-time s-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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-02742",
"question": "How many players are listed for the school/club team Washington from Powerade Tigers All-Time S Roster?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-02743",
"question": "How many single position players are listed on the Powerade Tigers All-Time S Roster for the 2009 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-02750",
"question": "What is the total number of years we are open for runners-up and champion Todd Woodbridge mixed doubles finals 15 7 8 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hard"
],
"style": "rule"
} | {
"answer": [
"Hard"
],
"id": "wikisql-02751",
"question": "Name the surface where the result of the mixed doubles final is 15 7 8 second and the championship under Todd Woodbridge is open?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Helena Suková"
],
"style": "rule"
} | {
"answer": [
"Helena Suková"
],
"id": "wikisql-02752",
"question": "Name Todd Woodbridge's partner for Mark Woodforde Martina Navratilova's Mixed Doubles Final 15 7 8 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7–5, 6–4"
],
"style": "rule"
} | {
"answer": [
"7–5, 6–4"
],
"id": "wikisql-02753",
"question": "Name the result for the mixed doubles final: 15 (7-8) match for Todd Woodbridge under Rick Leach Zina Garrison?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mat Sofi"
],
"style": "rule"
} | {
"answer": [
"Mat Sofi"
],
"id": "wikisql-02755",
"question": "Name the driver for race 2 7 for the 2008 Australian Drivers' Championship Indy F3 Challenge?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-02756",
"question": "For the 2008 Australian Drivers' Championship, what is the total number of qualifiers for race 3, which is 3 Indy F3 Challenge?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"James Winslow"
],
"style": "rule"
} | {
"answer": [
"James Winslow"
],
"id": "wikisql-02757",
"question": "Name the driver for race 2 2 under the 2008 Indy F3 Challenge Australian 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": [
"Ret"
],
"style": "rule"
} | {
"answer": [
"Ret"
],
"id": "wikisql-02758",
"question": "Name race 1 when race 3 is 8 for the 2008 Indy F3 Challenge for the 2008 Australian 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": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-02759",
"question": "Name Race 2 for James Winslow under the 2008 Australian Drivers' Championship Indy F3 Challenge?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-02760",
"question": "What is the total number of positions for race 1 versus 2 for the 2008 Australian Drivers' Championship Indy F3 Challenge?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"United States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-02790",
"question": "What is the nationality of the player whose school Clemson is on the Orlando Magic All-Time R roster?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1993–1995"
],
"style": "rule"
} | {
"answer": [
"1993–1995"
],
"id": "wikisql-02791",
"question": "What years did the player whose school is Clemson spend on the Orlando Magic All-Time R Roster?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"32"
],
"style": "rule"
} | {
"answer": [
"32"
],
"id": "wikisql-02792",
"question": "What is the Orlando Magic All-Time R Roster for the Number of Player Who Visited Delta State?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Playoff"
],
"style": "rule"
} | {
"answer": [
"Playoff"
],
"id": "wikisql-02814",
"question": "Name the margin of victory when the number 15 is for Miguel Ángel Jiménez's European Tour wins (19)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-02815",
"question": "Give the number of numbers for Howard Clark for Miguel Ángel Jiménez European Tour wins 19?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 strokes"
],
"style": "rule"
} | {
"answer": [
"2 strokes"
],
"id": "wikisql-02816",
"question": "For Miguel Ángel Jiménez's European Tour wins 19, name the margin of victory if the tournament is Algarve Open de Portugal?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"BMW Asian Open 1"
],
"style": "rule"
} | {
"answer": [
"BMW Asian Open 1"
],
"id": "wikisql-02817",
"question": "What does the tournament look like when the winning margin is 3 shots and the victory score is 71-66-70-67=274 for the European Tour wins of Miguel Ángel Jiménez (19)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 November 1966"
],
"style": "rule"
} | {
"answer": [
"10 November 1966"
],
"id": "wikisql-02828",
"question": "What is the air date if the story is credited as Hugh Leonard in Out of the Unknown Episodes Series 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": [
"YouTube"
],
"style": "rule"
} | {
"answer": [
"YouTube"
],
"id": "wikisql-02833",
"question": "Name the winner of Lewis Black's Root of All Evil poll for Greg Giraldo for Porn Season 1: 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-02834",
"question": "Can you name the number of Advocate #1 that aired April 2, 2008 on Lewis Black's Root of All Evil's Season 1: 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-02835",
"question": "Name the winner of the March 19, 2008 poll for Lewis Black's Root of All Evil's Season 1: 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": [
"March 19, 2008"
],
"style": "rule"
} | {
"answer": [
"March 19, 2008"
],
"id": "wikisql-02836",
"question": "Give the air date for Andy Kindler for Donald Trump from Lewis Black's Root of All Evil Season 1: 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": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikisql-02837",
"question": "Under Lewis Black's Root of All Evil, name the # from YouTube under Season 1: 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": [
"Patton Oswalt for High School"
],
"style": "rule"
} | {
"answer": [
"Patton Oswalt for High School"
],
"id": "wikisql-02838",
"question": "Name the #1 advocate for American Idol among Lewis Black's Season 1: 2008 Root of All Evil?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Greg Giraldo for Steroids"
],
"style": "rule"
} | {
"answer": [
"Greg Giraldo for Steroids"
],
"id": "wikisql-02839",
"question": "When Steroids won the poll, who was the #1 advocate for Lewis Black's Root of All Evil Season 2: 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": [
"September 3, 2008"
],
"style": "rule"
} | {
"answer": [
"September 3, 2008"
],
"id": "wikisql-02840",
"question": "What are the original air dates if Scientology is the poll winner for Lewis Black's Root of All Evil Season 2 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": [
"Bloggers"
],
"style": "rule"
} | {
"answer": [
"Bloggers"
],
"id": "wikisql-02841",
"question": "When bloggers were the poll winner, who was the root of all evil in Lewis Black's Root of All Evil Season 2 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-02842",
"question": "How many times did drinking games win the poll in Season 2: 2008 of Lewis Black's Root of All Evil?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-02869",
"question": "How many countries have arte content on Italy's shopping on TV?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-02870",
"question": "How many values of HDTV correspond to the television service of la Sorgente sat 1 (of television in Italy) in Italy Shopping question : ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"no"
],
"style": "rule"
} | {
"answer": [
"no"
],
"id": "wikisql-02871",
"question": "Which HDTV values correspond to the number 862 in the TV list in the Italian shopping area?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"music"
],
"style": "rule"
} | {
"answer": [
"music"
],
"id": "wikisql-02872",
"question": "Name the music content for sky famiglia for italian and dar 16:9 for mtv hits on tv in italy ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"714"
],
"style": "rule"
} | {
"answer": [
"714"
],
"id": "wikisql-02873",
"question": "Name the lowest number for mydeejay among Television in Italy's Music?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"no"
],
"style": "rule"
} | {
"answer": [
"no"
],
"id": "wikisql-02875",
"question": "Do you name hdtv for sky famiglia and dar 16:9 for mydeejay among Italy's music television?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"16:9"
],
"style": "rule"
} | {
"answer": [
"16:9"
],
"id": "wikisql-02876",
"question": "Name the figure for mtv rocks under Television in Italy's Music?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"no"
],
"style": "rule"
} | {
"answer": [
"no"
],
"id": "wikisql-02877",
"question": "Name the ppv for sky famiglia and dar 16:9 for mtv dance in Italy in Television in Music ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-02878",
"question": "How many times was something listed under Content on Conto TV Teleitalia when the TV was R-light in Television in Italy?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"no"
],
"style": "rule"
} | {
"answer": [
"no"
],
"id": "wikisql-02880",
"question": "Was there HDTV when the Conto TV Teleitalia Privè service was on TV in Italy?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-02889",
"question": "What is the number of panellists for The Sunday Night Project Series 2 air date January 20, 2006?",
"split": "train"
} |
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