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": [
"Ingrid & Aleksandr"
],
"style": "rule"
} | {
"answer": [
"Ingrid & Aleksandr"
],
"id": "wikisql-58607",
"question": "Which pair under Tantsud tähtedega 2006 had exactly 23 points in week 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": [
"70500"
],
"style": "rule"
} | {
"answer": [
"70500"
],
"id": "wikisql-58609",
"question": "What is the largest amount of cattle where they live in British Columbia under dairy farming in Canada?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58610",
"question": "What is the largest number of cattle in Canada where the dairy herd is 13000?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1335831"
],
"style": "rule"
} | {
"answer": [
"1335831"
],
"id": "wikisql-58611",
"question": "What is the size of the dairy farm in Canada where the New Brunswick area is?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Prince Edward Island"
],
"style": "rule"
} | {
"answer": [
"Prince Edward Island"
],
"id": "wikisql-58612",
"question": "Where is dairy farming located in Canada where there are over 200 cattle farms?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5900"
],
"style": "rule"
} | {
"answer": [
"5900"
],
"id": "wikisql-58613",
"question": "What is the lowest amount of beef head for dairy farming in Canada?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"322000"
],
"style": "rule"
} | {
"answer": [
"322000"
],
"id": "wikisql-58614",
"question": "What is the lowest amount of dairy cattle in Ontario in dairy farming in Canada?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Young Jeezy",
"50 Cent"
],
"style": "rule"
} | {
"answer": [
"Young Jeezy",
"50 Cent"
],
"id": "wikisql-58615",
"question": "From MTV's list of Hottest MCs in Play, list all MCs with a top rank of 6 inducted in 2007.",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lil Wayne",
"Jay-Z"
],
"style": "rule"
} | {
"answer": [
"Lil Wayne",
"Jay-Z"
],
"id": "wikisql-58616",
"question": "From the list of MTV's Hottest MCs in the game recorded in 2007, name all MCs with 5 appearances ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58617",
"question": "How many appearances by Meek Mill among MTV's Hottest MCs in the game?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Leninskiy Komsomol Shipyard, Komsomolsk"
],
"style": "rule"
} | {
"answer": [
"Leninskiy Komsomol Shipyard, Komsomolsk"
],
"id": "wikisql-58621",
"question": "What shipping area was requested for Yankee class submarines on November 30, 1970?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 30, 1968"
],
"style": "rule"
} | {
"answer": [
"May 30, 1968"
],
"id": "wikisql-58622",
"question": "Which project was originally launched before September 20, 1968 among the Yankee-class submarines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"December 29, 1968"
],
"style": "rule"
} | {
"answer": [
"December 29, 1968"
],
"id": "wikisql-58623",
"question": "When was the first launch date actually starting August 6, 1969 for Yankee class submarines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Leninskiy Komsomol Shipyard, Komsomolsk"
],
"style": "rule"
} | {
"answer": [
"Leninskiy Komsomol Shipyard, Komsomolsk"
],
"id": "wikisql-58624",
"question": "Where is the boat range that began on November 30, 1970 among the Yankee class submarines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-58625",
"question": "How many poles does the European F3 Open series have under Zoël Amberg?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2009"
],
"style": "rule"
} | {
"answer": [
"2009"
],
"id": "wikisql-58626",
"question": "What is the maximum season for Zoël Amberg who has exactly 2 podiums?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58627",
"question": "How many seasons are there for 3rd place under Stoffel Vandoorne?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2010"
],
"style": "rule"
} | {
"answer": [
"2010"
],
"id": "wikisql-58628",
"question": "In which season was the team autosport academy for Stoffel Vandoorne?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Formula Renault 2.0 NEC"
],
"style": "rule"
} | {
"answer": [
"Formula Renault 2.0 NEC"
],
"id": "wikisql-58629",
"question": "What is Stoffel Vandoorne's series for race 7?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2012"
],
"style": "rule"
} | {
"answer": [
"2012"
],
"id": "wikisql-58630",
"question": "Which season under Stoffel Vandoorne shows Podium 7 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tiffin"
],
"style": "rule"
} | {
"answer": [
"Tiffin"
],
"id": "wikisql-58631",
"question": "In which city is Tiffin University located amidst the Midwest Collegiate Roller Hockey League?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"24000"
],
"style": "rule"
} | {
"answer": [
"24000"
],
"id": "wikisql-58632",
"question": "What is private university enrollment in the Midwest Collegiate Roller Hockey League?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"T18"
],
"style": "rule"
} | {
"answer": [
"T18"
],
"id": "wikisql-58633",
"question": "What was the best result for 206 on the 2006 PGA Tour Qualifying School Graduate Money 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-58634",
"question": "How many ranks on the 2006 PGA Tour Qualifying School graduate money list had a best result of t10?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58635",
"question": "What moneylist ranks had the best result of 2 for the 2006 PGA Tour Qualifying School graduates?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58636",
"question": "What are the 2006 PGA Tour Qualifying School rankings Jonathan Kaye?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"112"
],
"style": "rule"
} | {
"answer": [
"112"
],
"id": "wikisql-58637",
"question": "Where is Cameron Beckman's rank on the 2006 PGA Tour Qualifying School graduate money 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": [
"65"
],
"style": "rule"
} | {
"answer": [
"65"
],
"id": "wikisql-58638",
"question": "If 6 is the w for the Dominion 2011 Northern Ontario Men's Curling Championship, what is the pa ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"16"
],
"style": "rule"
} | {
"answer": [
"16"
],
"id": "wikisql-58639",
"question": "When is 5 the lowest number of stolen ends for The Dominion 2011 Northern Ontario Men's Curling 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": [
"Mike Assad (Fort William)"
],
"style": "rule"
} | {
"answer": [
"Mike Assad (Fort William)"
],
"id": "wikisql-58640",
"question": "If 52 won the ends, what is the skip (club) for The Dominion's 2011 Northern Ontario Men's Curling 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": [
"11"
],
"style": "rule"
} | {
"answer": [
"11"
],
"id": "wikisql-58641",
"question": "Among the 2011 Northern Ontario Men's Curling Championships of The Dominion, if Jeff Currie (Port Arthur) is the Skip (Club), what is the lowest number of ends stolen?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"25,21%"
],
"style": "rule"
} | {
"answer": [
"25,21%"
],
"id": "wikisql-58645",
"question": "How many o-19% are the quarter in Saint-Loup in the 10th arrondissement of Marseille?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58646",
"question": "How many 20-39% are in the 10th arrondissement of Marseille in Pont-de-vivaux?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"24,37%"
],
"style": "rule"
} | {
"answer": [
"24,37%"
],
"id": "wikisql-58647",
"question": "The 10th arrondissement of Marseille, the Quartier Menpenti, has how many 40 to 59 year olds?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10"
],
"style": "rule"
} | {
"answer": [
"10"
],
"id": "wikisql-58648",
"question": "How many stolen ends did Skipper, who was set in British Columbia, have at the 2013 Scotties Tournament of Hearts?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58650",
"question": "How many trains are there for the route via Trivandrum, Ernakulam and Newdelhi from Kulitthurai station?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Trivandrum, Alleppey,Ernakulam"
],
"style": "rule"
} | {
"answer": [
"Trivandrum, Alleppey,Ernakulam"
],
"id": "wikisql-58651",
"question": "What is the route to Guruvayur destination between Kulitthurai station?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58652",
"question": "How many routes/vias are there for the Ernad Express between Kulitthurai station?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"16526"
],
"style": "rule"
} | {
"answer": [
"16526"
],
"id": "wikisql-58654",
"question": "What is the train number from Kulitthurai station for the train named Island Express bound for Kanniyakumari?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2q14"
],
"style": "rule"
} | {
"answer": [
"2q14"
],
"id": "wikisql-58662",
"question": "What is the chromosomal location of the interleukin-1 family?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"IL-18Rβ"
],
"style": "rule"
} | {
"answer": [
"IL-18Rβ"
],
"id": "wikisql-58663",
"question": "What are the co-receptors of the chromosomes at this position 11q22.2-q22.3 regarding the interleukin-1 family?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58664",
"question": "How many different chromosomal positions are there in the interleukin 1f8 family?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2q14"
],
"style": "rule"
} | {
"answer": [
"2q14"
],
"id": "wikisql-58665",
"question": "Where is the interleukin-1 family il-36β located?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"IL-1β"
],
"style": "rule"
} | {
"answer": [
"IL-1β"
],
"id": "wikisql-58666",
"question": "What names are listed in the Il-1f2 family under the interleukin-1 family?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"IL-38"
],
"style": "rule"
} | {
"answer": [
"IL-38"
],
"id": "wikisql-58667",
"question": "Which chromosomes of the interleukin-1 family have an unknown property?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58669",
"question": "What is the highest total for South Korea among Mister International's country rankings?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58670",
"question": "Name the semi-finalists for Mister International's country ranking in Singapore?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58671",
"question": "What is the number of semi-finalists for 19th place in Mister International's country ranking?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Georgia Tech."
],
"style": "rule"
} | {
"answer": [
"Georgia Tech."
],
"id": "wikisql-58672",
"question": "Where was d: ~50nm, l: ~600nm geometry under nanogenerator researched?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58673",
"question": "How many materials are there for an output power of ~0.1 pw per cycle (calculated) among nanogenerators?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Not stated"
],
"style": "rule"
} | {
"answer": [
"Not stated"
],
"id": "wikisql-58674",
"question": "What is the output power of the nanogenerator for the output voltage vp = ~3mV?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58675",
"question": "How many synthesis are there for 5~16.2 pw output power per cycle (calculated) for nanogenerator?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Georgia Tech."
],
"style": "rule"
} | {
"answer": [
"Georgia Tech."
],
"id": "wikisql-58676",
"question": "Where was geometry explored under nanogenerator d: ~100nm, l: 1 μm?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Georgia Tech."
],
"style": "rule"
} | {
"answer": [
"Georgia Tech."
],
"id": "wikisql-58677",
"question": "Where has d: 25~70 nm, l: 10~20 μm geometry for nanogenerator been researched?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"13 Mar 2013"
],
"style": "rule"
} | {
"answer": [
"13 Mar 2013"
],
"id": "wikisql-58682",
"question": "Give the date for s. Valentino alla muta, Italy among the dates of Kristaps Zvejnieks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"27 Nov 2010"
],
"style": "rule"
} | {
"answer": [
"27 Nov 2010"
],
"id": "wikisql-58683",
"question": "Give the date for 2011 and the position greater than 2.0 in Kristaps Zvejnieks ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Slalom"
],
"style": "rule"
} | {
"answer": [
"Slalom"
],
"id": "wikisql-58684",
"question": "Name the discipline for 1561 F# points under Kristaps Zvejnieks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58685",
"question": "Name the position of f sharp points that is 3495 in Kristaps Zvejnieks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Asoka de Silva"
],
"style": "rule"
} | {
"answer": [
"Asoka de Silva"
],
"id": "wikisql-58686",
"question": "Who refereed when the WC match 10 was for Cricket World Cup Officials 2011?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikisql-58687",
"question": "How many WC games if games were 79 among the officials of the 2011 Cricket World Cup?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Australia"
],
"style": "rule"
} | {
"answer": [
"Australia"
],
"id": "wikisql-58688",
"question": "In which country was WC Maches the 15th official of the 2011 Cricket World Cup?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58689",
"question": "What is the least number of games the 2011 Cricket World Cup officials have?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-58690",
"question": "If it is 16 matches what are the toilet matches for the 2011 Cricket World Cup officials?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Summer"
],
"style": "rule"
} | {
"answer": [
"Summer"
],
"id": "wikisql-58691",
"question": "Tell me games for total less than 4 for swimming 1968 in multiple Olympic gold medalists 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-58692",
"question": "Tell me the total number of bronze medals among multiple Olympic gold medalists for silver is 0 and the sport of wrestling and more than 3 total?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-58693",
"question": "Tell me lowest bronze for gold of 3 in winter for cross country and silver under 0 for multiple olympic gold medalists 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": [
"Nora Lewin / Arthur Branch"
],
"style": "rule"
} | {
"answer": [
"Nora Lewin / Arthur Branch"
],
"id": "wikisql-58696",
"question": "Tell me the prosecution for bureau chief ada under Elizabeth Donnelly?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 May 2006"
],
"style": "rule"
} | {
"answer": [
"17 May 2006"
],
"id": "wikisql-58697",
"question": "Tell me the left office of Enrico la Loggia in the Berlusconi III cabinet.",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 May 2006"
],
"style": "rule"
} | {
"answer": [
"17 May 2006"
],
"id": "wikisql-58699",
"question": "Tell me the left office for Mirko Tremaglia in the Berlusconi III cabinet. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58704",
"question": "What was the result of the Brabham BT19 at the Syracuse Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1967"
],
"style": "rule"
} | {
"answer": [
"1967"
],
"id": "wikisql-58705",
"question": "Which year has a score of 3 at Jarama Venue for Brabham BT19?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2009"
],
"style": "rule"
} | {
"answer": [
"2009"
],
"id": "wikisql-58708",
"question": "Name the lowest year for Florence Kiplagat's 12th place finish?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"World Half Marathon Championships"
],
"style": "rule"
} | {
"answer": [
"World Half Marathon Championships"
],
"id": "wikisql-58709",
"question": "Tell me the half marathon competition for Florence Kiplagat. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Filip Filipović Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Filip Filipović Category:Articles with hCards"
],
"id": "wikisql-58714",
"question": "What name does Club Radnički have in 2012 in Serbia men's national water polo 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": [
"CD",
"Digital download"
],
"style": "rule"
} | {
"answer": [
"CD",
"Digital download"
],
"id": "wikisql-58715",
"question": "Tell me the format for United States Geffen for Who We Are (Lifehouse album)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"CD"
],
"style": "rule"
} | {
"answer": [
"CD"
],
"id": "wikisql-58716",
"question": "Tell me the format for the worldwide region for Who We Are (Lifehouse album) on July 22, 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": [
"Geffen"
],
"style": "rule"
} | {
"answer": [
"Geffen"
],
"id": "wikisql-58717",
"question": "Tell me the label for the bonus track version digital download for Who We Are (Lifehouse album) ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"RTL-TVI"
],
"style": "rule"
} | {
"answer": [
"RTL-TVI"
],
"id": "wikisql-58722",
"question": "Tell me the network for January 13, 2009 under The People's Quiz?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"€ 100.000"
],
"style": "rule"
} | {
"answer": [
"€ 100.000"
],
"id": "wikisql-58723",
"question": "Tell me the price for Belgium on The People's Quiz ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jacques van den Biggelaar"
],
"style": "rule"
} | {
"answer": [
"Jacques van den Biggelaar"
],
"id": "wikisql-58724",
"question": "On The People's Quiz, tell me the host of January 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": [
"Jacques van den Biggelaar"
],
"style": "rule"
} | {
"answer": [
"Jacques van den Biggelaar"
],
"id": "wikisql-58725",
"question": "Tell me the moderator of The People's Quiz for rtl-tvi ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"World Cup"
],
"style": "rule"
} | {
"answer": [
"World Cup"
],
"id": "wikisql-58726",
"question": "I want to finish in the list of European swimming records with a time of 2:15.93. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Moscow , Russia"
],
"style": "rule"
} | {
"answer": [
"Moscow , Russia"
],
"id": "wikisql-58727",
"question": "Tell me the location of Lithuania on October 12, 2013 in the list of European swimming records. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Star Trek"
],
"style": "rule"
} | {
"answer": [
"Star Trek"
],
"id": "wikisql-58728",
"question": "Tell me the title of the work for the year more than 2009 under Anton Yelchin?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2014 World Cup Qualifier"
],
"style": "rule"
} | {
"answer": [
"2014 World Cup Qualifier"
],
"id": "wikisql-58738",
"question": "What tournament was held on October 11, 2013 for the Honduran national football team?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2014 World Cup Qualifier"
],
"style": "rule"
} | {
"answer": [
"2014 World Cup Qualifier"
],
"id": "wikisql-58739",
"question": "Which tournament was held on 18 June 2013 for the Honduran national football team?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-58740",
"question": "What is the average week on November 7, 1976 with attendance less than 46,735 for the Minnesota Vikings 1976 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": [
"Chicago Bears"
],
"style": "rule"
} | {
"answer": [
"Chicago Bears"
],
"id": "wikisql-58741",
"question": "Who was the opponent in Minnesota Vikings week 5 of the 1976 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"63"
],
"style": "rule"
} | {
"answer": [
"63"
],
"id": "wikisql-58746",
"question": "For the Montreal Royals, what were the most losses the royals had when they had a percentage over .461, won over 86 games and finished 2nd in 1953?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Female Rising Star of 2011"
],
"style": "rule"
} | {
"answer": [
"Female Rising Star of 2011"
],
"id": "wikisql-58750",
"question": "Tell me result category of won and year over 2009 for Julianne Hough?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rock of Ages",
"Rock of Ages shared with Diego Boneta"
],
"style": "rule"
} | {
"answer": [
"Rock of Ages",
"Rock of Ages shared with Diego Boneta"
],
"id": "wikisql-58751",
"question": "Tell me the nominated work bigger than 2011 for Julianne Hough?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Nominated",
"Nominated"
],
"style": "rule"
} | {
"answer": [
"Nominated",
"Nominated"
],
"id": "wikisql-58752",
"question": "From Julianne Hough's list, tell me the result for the Primetime Emmy Awards?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Chase Kniffen"
],
"style": "rule"
} | {
"answer": [
"Chase Kniffen"
],
"id": "wikisql-58753",
"question": "Tell Me 1998 Broadway With Barry Cavanagh Under Peter Pan (1954 Musical)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Maria Pogee"
],
"style": "rule"
} | {
"answer": [
"Maria Pogee"
],
"id": "wikisql-58754",
"question": "Tell Me the 1979 Broadway for Dana Solimando for Peter Pan (1954 musical)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Michael Darling"
],
"style": "rule"
} | {
"answer": [
"Michael Darling"
],
"id": "wikisql-58755",
"question": "Tell me the character of Peter Pan (1954 musical) for 1998's Drake English?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tom Halloran"
],
"style": "rule"
} | {
"answer": [
"Tom Halloran"
],
"id": "wikisql-58756",
"question": "For Peter Pan (1954 musical), tell me the 1955 broadcast for Kent Fletcher?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"J.K. Simmons"
],
"style": "rule"
} | {
"answer": [
"J.K. Simmons"
],
"id": "wikisql-58757",
"question": "Tell me the 1991 Broadway play for George Rose for Peter Pan's 1954 musical?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"British Home Championship"
],
"style": "rule"
} | {
"answer": [
"British Home Championship"
],
"id": "wikisql-58758",
"question": "What competition was held for Bobby Walker (footballer born 1879) on March 1, 1909?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-58759",
"question": "tell me the total number of gold for total less than 1 for 1987 european amateur boxing championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-58761",
"question": "What is the total of Guatemala gold and silver less than 0 for athletics at the 1959 Central American and Caribbean Games?",
"split": "train"
} |
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