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": [
"Red Bull - Renault"
],
"style": "rule"
} | {
"answer": [
"Red Bull - Renault"
],
"id": "wikisql-10174",
"question": "Name the 2007 Monaco Grand Prix Qualifying Constructor, David Coulthards?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"19"
],
"style": "rule"
} | {
"answer": [
"19"
],
"id": "wikisql-10175",
"question": "Tell me Adrian Sutil's contribution from qualifying for the 2007 Monaco 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": [
"1:16.059"
],
"style": "rule"
} | {
"answer": [
"1:16.059"
],
"id": "wikisql-10176",
"question": "Tell me about part 1 of the starting grid under the qualifiers for the Monaco Grand Prix 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-10179",
"question": "From Thomaz Koch's list, tell me the total number of dates for the singles final of the carpet open era (3-2)?",
"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": [
"Frew McMillan"
],
"style": "rule"
} | {
"answer": [
"Frew McMillan"
],
"id": "wikisql-10180",
"question": "Tell me Thomaz Koch's opponent at 6:2, 3:6, 4:6 in a tennis match in the Open Era singles final (3:2)?",
"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": [
"I123-Iodide"
],
"style": "rule"
} | {
"answer": [
"I123-Iodide"
],
"id": "wikisql-10184",
"question": "What is the name of the radiopharmacology given orally or IV and being studied for imaging thyroid metastases? Iodine 123 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-10196",
"question": "What is the highest rank of a rider in the Isle of Man TT Lightweight TT 125cc 1970 final standings whose time was 1:19.02.8?",
"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": [
"348"
],
"style": "rule"
} | {
"answer": [
"348"
],
"id": "wikisql-10223",
"question": "How many points did the team that finished first in Sébastien Bourdais' 2005 CART Champ Car get?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ford XFE",
"Ford XFE",
"Ford XFE"
],
"style": "rule"
} | {
"answer": [
"Ford XFE",
"Ford XFE",
"Ford XFE"
],
"id": "wikisql-10224",
"question": "Which engine was used by the teams that used a Lola b02/00 chassis and finished 1st under Sébastien Bourdais' CART Champ Car?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-10225",
"question": "How many years has the Newman/Haas Racing team achieved 1st place in the CART Champ Car Sébastien Bourdais?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"26"
],
"style": "rule"
} | {
"answer": [
"26"
],
"id": "wikisql-10227",
"question": "What is the fewest points from 5 places below Great Britain in the national final of the Junior Eurovision Song Contest 2005?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Download Festival"
],
"style": "rule"
} | {
"answer": [
"Download Festival"
],
"id": "wikisql-10241",
"question": "I want to know the events for 106 bands from the list of festivals in Donington Park 2016 2000s?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-10249",
"question": "Which FA Cup apps have league goals of 1 with total goals less than 1 under George Utley's Barnsley?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-10250",
"question": "What is the highest number of apps with FA cup apps out of 26 among total goals in Barnsley game with total goals greater than 9 for George Utley? ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-10251",
"question": "What league goals does George Utley Barnsley have in FA Cup of 2?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-10252",
"question": "Which FA Cup Apps have a total of more than 12 and which League Apps have more than 38 and which FA Cup Goals have more than 1 at George Utley's Barnsley?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Left Wing"
],
"style": "rule"
} | {
"answer": [
"Left Wing"
],
"id": "wikisql-10259",
"question": "Name the position of pick 234 in the 1994 NHL Entry Draft in the ninth round?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"N.Y. Rangers"
],
"style": "rule"
} | {
"answer": [
"N.Y. Rangers"
],
"id": "wikisql-10260",
"question": "Name Vitali Yeremeyev's team under round nine of the 1994 NHL Entry Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"26 August"
],
"style": "rule"
} | {
"answer": [
"26 August"
],
"id": "wikisql-10265",
"question": "When was Metallica: Escape from the Studio featured on the list of festivals at Donington Park in the 1990s?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 June"
],
"style": "rule"
} | {
"answer": [
"4 June"
],
"id": "wikisql-10266",
"question": "Among the list of festivals at Donington Park, when is the 12 band Monsters of Rock show in the 1990s?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Won"
],
"style": "rule"
} | {
"answer": [
"Won"
],
"id": "wikisql-10267",
"question": "Tell me the result for Bosnia and Herzegovina Davis Cup team on July 15, 2000 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": [
"Kira Muratova"
],
"style": "rule"
} | {
"answer": [
"Kira Muratova"
],
"id": "wikisql-10272",
"question": "Tell me, the director was nominated among the Stozhary Prize winners in 2005 for best actor in a leading role. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Best actor in short film"
],
"style": "rule"
} | {
"answer": [
"Best actor in short film"
],
"id": "wikisql-10273",
"question": "Tell me the nomination for Peresohla Zemlia among the winners of the 2005 Stozhary Prize?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Best Actress in a Leading Role"
],
"style": "rule"
} | {
"answer": [
"Best Actress in a Leading Role"
],
"id": "wikisql-10274",
"question": "Tell me the nomination of Russia and Svetlana Hodchenkova in Stozhary 2005 Prize-Winners. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Michal Lewandowski"
],
"style": "rule"
} | {
"answer": [
"Michal Lewandowski"
],
"id": "wikisql-10275",
"question": "Tell me the name of the actor for Nienasycenia (Insatiability) in Stozhary Prize-Winners 2005. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Svetlana Kozhemyakina"
],
"style": "rule"
} | {
"answer": [
"Svetlana Kozhemyakina"
],
"id": "wikisql-10276",
"question": "Tell me the name of the actor for Stozhary Prize Winner 2005 escho raz o voyne von Stozhary ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kampala (UGA)"
],
"style": "rule"
} | {
"answer": [
"Kampala (UGA)"
],
"id": "wikisql-10284",
"question": "At what point was there a loss on January 20 for the 2000s Cyprus Davis Cup 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": [
"97.69mph"
],
"style": "rule"
} | {
"answer": [
"97.69mph"
],
"id": "wikisql-10288",
"question": "What is rider Peter Williams' average speed for the Isle of Man TT Production 750cc 1970 final standings?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1:55.51.4"
],
"style": "rule"
} | {
"answer": [
"1:55.51.4"
],
"id": "wikisql-10289",
"question": "What is Team Triumph's time/times in those races where Triumph finished higher than 4 in the final standings of the 1970 Isle of Man Production 750cc TT?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"M"
],
"style": "rule"
} | {
"answer": [
"M"
],
"id": "wikisql-10305",
"question": "Which position did the Metrostars of the MLS team choose for the fourth round of the 2004 MLS SuperDraft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kansas City Wizards"
],
"style": "rule"
} | {
"answer": [
"Kansas City Wizards"
],
"id": "wikisql-10306",
"question": "Which MLS team is in the fourth round of the 2004 MLS SuperDraft at Yale University?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Creighton University"
],
"style": "rule"
} | {
"answer": [
"Creighton University"
],
"id": "wikisql-10307",
"question": "Which 2004 MLS SuperDraft fourth round affiliations have a pick under 32?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jamal Sutton"
],
"style": "rule"
} | {
"answer": [
"Jamal Sutton"
],
"id": "wikisql-10308",
"question": "Which players have an F position in the fourth round of the 2004 MLS SuperDraft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"28"
],
"style": "rule"
} | {
"answer": [
"28"
],
"id": "wikisql-10309",
"question": "How many goals were scored in 73 player statistics of Serbia national football team when there were 73 caps?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4–7"
],
"style": "rule"
} | {
"answer": [
"4–7"
],
"id": "wikisql-10325",
"question": "Tell me all players singles WL who have years greater than 1 and highest singles rating of 1346 for Lithuania Davis Cup 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": [
"Adrian Mutu"
],
"style": "rule"
} | {
"answer": [
"Adrian Mutu"
],
"id": "wikisql-10351",
"question": "Who has scored under 7 goals, been ranked under 7 and made over 8 appearances for the 2007/08 UEFA Cup top scorers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-10352",
"question": "What was the sum of the ranks of those named Fernando Cavenaghi who were less than 7 of the 2007/08 UEFA Cup top scorers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-10353",
"question": "How many matches were played by players who scored 5 goals and under 7 goals to be among the top scorers of the 2007–08 UEFA 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": [
"Loïc Duval"
],
"style": "rule"
} | {
"answer": [
"Loïc Duval"
],
"id": "wikisql-10363",
"question": "Name the winning driver for Round 7 from the 2006 Formula Nippon calendar and 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": [
"In111- s Platelet"
],
"style": "rule"
} | {
"answer": [
"In111- s Platelet"
],
"id": "wikisql-10366",
"question": "Tell me the name for thrombus imaging study and IV route of administration under Radiopharmacology Indium-111 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"In-vivo"
],
"style": "rule"
} | {
"answer": [
"In-vivo"
],
"id": "wikisql-10367",
"question": "Tell me the in vitro route of administration of iv and indium 111. Somatostatin receptor imaging study for radiopharmacology?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"17"
],
"id": "wikisql-10368",
"question": "What is the total of the player is Tim Regan and the pick # is the position of d from the second round of the 2003 MLS SuperDraft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"D"
],
"style": "rule"
} | {
"answer": [
"D"
],
"id": "wikisql-10369",
"question": "The position that has a pick of 16 in the second round of the 2003 MLS SuperDraft is which?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"18"
],
"style": "rule"
} | {
"answer": [
"18"
],
"id": "wikisql-10370",
"question": "Damani Ralph is associated with what lowest pick number in the second round of the 2003 MLS SuperDraft 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-10371",
"question": "From the second round of the 2003 MLS SuperDraft, how many # has the Chicago Fire 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-10376",
"question": "How many points were won in Annika Sörenstam's 2007 Solheim Cup tally if more than 5 games were played?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5.0"
],
"style": "rule"
} | {
"answer": [
"5.0"
],
"id": "wikisql-10377",
"question": "What is the average total number of games in the 2007 Solheim Cup record with a percentage more than 33.3 points for Annika Sorenstam?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"John Salley"
],
"style": "rule"
} | {
"answer": [
"John Salley"
],
"id": "wikisql-10378",
"question": "Which player attended school at Georgia Tech among the Toronto Raptors 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": [
"Forward"
],
"style": "rule"
} | {
"answer": [
"Forward"
],
"id": "wikisql-10379",
"question": "What position does Ed Stokes hold on the Toronto Raptors 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": [
"California"
],
"style": "rule"
} | {
"answer": [
"California"
],
"id": "wikisql-10380",
"question": "what is michael stewart's school or club team among the toronto raptors all-time s lineups?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ra`anana , Israel"
],
"style": "rule"
} | {
"answer": [
"Ra`anana , Israel"
],
"id": "wikisql-10381",
"question": "What tournament was played in Julia Glushko's Doubles (8-10) on May 29, 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": [
"Clay"
],
"style": "rule"
} | {
"answer": [
"Clay"
],
"id": "wikisql-10382",
"question": "What was the surface of the competition where Paula Ormaechea partnered Julia Glushko's doubles (8-10)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-10396",
"question": "Tell me surface for Julia Glushko on November 28, 2010 singles 8 1 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kalgoorlie , Australia"
],
"style": "rule"
} | {
"answer": [
"Kalgoorlie , Australia"
],
"id": "wikisql-10397",
"question": "Tell me the tournament with a hard surface for 6-1, 6-2 for Julia Glushko in singles (8-1). ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"July 15, 2012"
],
"style": "rule"
} | {
"answer": [
"July 15, 2012"
],
"id": "wikisql-10398",
"question": "Tell me the date for 6–3, 6–2 under singles (8–1) Julia Glushko?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"July 29, 2012"
],
"style": "rule"
} | {
"answer": [
"July 29, 2012"
],
"id": "wikisql-10399",
"question": "For Julia Glushko, tell me the date for Johanna Konta (8-1) singles?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sinn Féin"
],
"style": "rule"
} | {
"answer": [
"Sinn Féin"
],
"id": "wikisql-10427",
"question": "Which party did Thomas Mitchell belong to in the 1955 UK general election records since 1945?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"224 2"
],
"style": "rule"
} | {
"answer": [
"224 2"
],
"id": "wikisql-10428",
"question": "How many days has the Ulster Unionist Party had in the UK general election since 1945 inaugural Fermanagh and South Tyrone?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"137 1"
],
"style": "rule"
} | {
"answer": [
"137 1"
],
"id": "wikisql-10429",
"question": "How many days in 1945 were Heywood and Radcliffe on the UK general election records since 1945?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"February 1974"
],
"style": "rule"
} | {
"answer": [
"February 1974"
],
"id": "wikisql-10430",
"question": "Since 1945, what year was Hazel Grove the Liberal Party voter in the UK general election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kingston"
],
"style": "rule"
} | {
"answer": [
"Kingston"
],
"id": "wikisql-10440",
"question": "Where did Zimbabwe play in a match in Cricket World Cup 2007 statistics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"22-03-2007"
],
"style": "rule"
} | {
"answer": [
"22-03-2007"
],
"id": "wikisql-10441",
"question": "What is the date Canada played Australia in a match in 2007 Cricket World Cup statistics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10–12 May"
],
"style": "rule"
} | {
"answer": [
"10–12 May"
],
"id": "wikisql-10447",
"question": "In the 1925-1929 Poland Davis Cup team, tell me the Warsaw 1929 date?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Loss"
],
"style": "rule"
} | {
"answer": [
"Loss"
],
"id": "wikisql-10448",
"question": "Tell me Warsaw 1929 result for Polish Davis Cup team competition 1925, '29?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Loss"
],
"style": "rule"
} | {
"answer": [
"Loss"
],
"id": "wikisql-10449",
"question": "Tell me Harrogate score for Poland Davis Cup team 1925-1929. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Spanish Grand Prix"
],
"style": "rule"
} | {
"answer": [
"Spanish Grand Prix"
],
"id": "wikisql-10459",
"question": "What was the name of the race among the 33 Grandpreuves preuves of the 1933 Grand Prix season on September 24th?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Belgian Grand Prix"
],
"style": "rule"
} | {
"answer": [
"Belgian Grand Prix"
],
"id": "wikisql-10460",
"question": "What is the name of the race on July 9 among the Grands Épreuves of the 1933 Grand Prix 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": [
"Montlhéry"
],
"style": "rule"
} | {
"answer": [
"Montlhéry"
],
"id": "wikisql-10461",
"question": "Which race was won by a Maserati driven by Giuseppe Campari in the Grands Épreuves of the 1933 Grand Prix 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": [
"24 September"
],
"style": "rule"
} | {
"answer": [
"24 September"
],
"id": "wikisql-10462",
"question": "On what date did Louis Chiron win the race among the Grands Preuves of the 1933 Grand Prix 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": [
"Maserati"
],
"style": "rule"
} | {
"answer": [
"Maserati"
],
"id": "wikisql-10463",
"question": "Which make of car won a race driven by Tazio Nuvolari in the Grands Épreuves of the 1933 Grand Prix 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": [
"Belgian Grand Prix"
],
"style": "rule"
} | {
"answer": [
"Belgian Grand Prix"
],
"id": "wikisql-10464",
"question": "Which race did Tazio Nuvolari win in the Grands Épreuves of the 1933 Grand Prix 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": [
"H03-L7"
],
"style": "rule"
} | {
"answer": [
"H03-L7"
],
"id": "wikisql-10479",
"question": "What heat and lane is Thi hue pham in while swimming at the 2007 World Aquatics Championships - Men's 100m Breaststroke?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"H12-L2"
],
"style": "rule"
} | {
"answer": [
"H12-L2"
],
"id": "wikisql-10480",
"question": "In swimming at the 2007 World Aquatics Championships - Men's 100m Breaststroke, which Heat & Lane is the person to time 1:01.12?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Brian Turner"
],
"style": "rule"
} | {
"answer": [
"Brian Turner"
],
"id": "wikisql-10492",
"question": "Who has a 59 cap for the highest cap for the New Zealand 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": [
"Special Report Division"
],
"style": "rule"
} | {
"answer": [
"Special Report Division"
],
"id": "wikisql-10510",
"question": "Tell me the title for Japan August 23, 2012 developed for Nippon Ichi Software Games?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Special Report Division"
],
"style": "rule"
} | {
"answer": [
"Special Report Division"
],
"id": "wikisql-10511",
"question": "Tell me the title for Japan August 23, 2012 developed for Nippon Ichi Software Games?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Unreleased"
],
"style": "rule"
} | {
"answer": [
"Unreleased"
],
"id": "wikisql-10512",
"question": "Tell me Australia was developed under Nippon Ichi Software Games on March 17, 2005?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"November 3, 2010"
],
"style": "rule"
} | {
"answer": [
"November 3, 2010"
],
"id": "wikisql-10513",
"question": "Tell me Europe developing for zhp Unlosing Ranger vs Darkdeath Evilman in Nippon Ichi Softwares games?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-10514",
"question": "In field hockey at the 1964 Summer Olympics, list the total losses in Group A for 4th place and ties less than 0?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-10515",
"question": "Field hockey at the 1964 Summer Olympics: What is the average place for ties less than 1 and losses more than 3 with points of 6 qc in Group A?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-10517",
"question": "Report the sum of places with ties greater than 0 and points greater than 7 qc and losses greater than 2 for field hockey at the 1964 Summer Olympics in Group A. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"–"
],
"style": "rule"
} | {
"answer": [
"–"
],
"id": "wikisql-10528",
"question": "Tell me the championship game for the big eight under the 1983 NCAA Women's Division I Basketball Tournament Post-Conference 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": [
"Disgaea 3: Absence of Justice"
],
"style": "rule"
} | {
"answer": [
"Disgaea 3: Absence of Justice"
],
"id": "wikisql-10542",
"question": "Tell me the title of Japan January 31, 2008 among Nippon Ichi Software game releases in Japan. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 13, 1996"
],
"style": "rule"
} | {
"answer": [
"September 13, 1996"
],
"id": "wikisql-10543",
"question": "Tell me Japan for Jigsaw Land: Japan graffiti among Nippon Ichi Software game releases in Japan?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"November 5, 2013"
],
"style": "rule"
} | {
"answer": [
"November 5, 2013"
],
"id": "wikisql-10544",
"question": "Tell me North America for Nippon Ichi Software on January 23, 2013 Game releases in Japan ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 26, 2009"
],
"style": "rule"
} | {
"answer": [
"May 26, 2009"
],
"id": "wikisql-10545",
"question": "Name me North America for September 18, 2009 among Nippon Ichi Software game releases in Japan?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 26, 2010"
],
"style": "rule"
} | {
"answer": [
"March 26, 2010"
],
"id": "wikisql-10546",
"question": "In Nippon Ichi Software Europe for Japan January 28, 2010, are you telling me that games will be released in Japan?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"August 31, 2004"
],
"style": "rule"
} | {
"answer": [
"August 31, 2004"
],
"id": "wikisql-10547",
"question": "Tell me the North America for Phantom Brave among Nippon Ichi Software's game releases in Japan?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-10548",
"question": "What is the average played value of Serbia national football team in Belgrade, with attendance exceeding Serbia team's home stadiums > 26.222?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"DP"
],
"style": "rule"
} | {
"answer": [
"DP"
],
"id": "wikisql-10560",
"question": "Tell me the ranked 89th class of Grand-Am Rolex Sports Car Series results for Sébastien Bourdais?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2006"
],
"style": "rule"
} | {
"answer": [
"2006"
],
"id": "wikisql-10561",
"question": "Tell me, most year for 3 points for Sébastien Bourdais in Grand Am Rolex Sports Car Series 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": [
"1993–1997"
],
"style": "rule"
} | {
"answer": [
"1993–1997"
],
"id": "wikisql-10579",
"question": "In what years did Tymerlan Huseynov, whose average is greater than 0.361, play in the Ukrainian national football team among the top scorers of Ukraine?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Andriy Shevchenko"
],
"style": "rule"
} | {
"answer": [
"Andriy Shevchenko"
],
"id": "wikisql-10580",
"question": "Who has scored more than 8 goals, won more than 75 caps and averaged 0.432 among the top scorers of Ukraine 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-10581",
"question": "What is the sum of top scorers of Ukraine if there are 68 caps and less than 9 goals for Ukraine 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": [
"8.00:1"
],
"style": "rule"
} | {
"answer": [
"8.00:1"
],
"id": "wikisql-10586",
"question": "What is the compression ratio if the vin code is 1975 engines c for ford torino engine specifications",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Loughridge"
],
"style": "rule"
} | {
"answer": [
"Tom Loughridge"
],
"id": "wikisql-10589",
"question": "Who is Team Suzuki's rider and finished more than 6th in the final standings of the 1970 Isle of Man Production 250cc TT?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-10602",
"question": "On which date was there more than 30,343 spectators in round 13 of the 1959 VFL season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Junction Oval"
],
"style": "rule"
} | {
"answer": [
"Junction Oval"
],
"id": "wikisql-10603",
"question": "What venue was played when the away team scored 11.5 (71) in round 13 of the 1959 VFL season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"18100"
],
"style": "rule"
} | {
"answer": [
"18100"
],
"id": "wikisql-10604",
"question": "What was the lowest crowd for a game where Essendon was the away team in the 13th round of the 1959 VFL season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kardinia Park"
],
"style": "rule"
} | {
"answer": [
"Kardinia Park"
],
"id": "wikisql-10605",
"question": "What venue was played when the away team scored 13.13 (91) in round 13 of the 1959 VFL season?",
"split": "train"
} |
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