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": [
"2007"
],
"style": "rule"
} | {
"answer": [
"2007"
],
"id": "wikitq-05502",
"question": "when was the event, National Academic Quiz Tournaments, last held in Minnesota?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-00366",
"question": "What is the percentage of the first 1973 Democratic primary for the New York City mayoral election for Manhattan 45,901?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-00368",
"question": "What is the Manhattan for Richmond's 35% in the first Democratic first mayoral election in New York City of 1973?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"40%"
],
"style": "rule"
} | {
"answer": [
"40%"
],
"id": "wikisql-00369",
"question": "New York City mayoral elections what are the queens where richmond staten has 42% of the 1973 democratic first primary.",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Moreno Argentin"
],
"style": "rule"
} | {
"answer": [
"Moreno Argentin"
],
"id": "wikisql-00999",
"question": "Who is leading in the general classification of stage 1a of the 1993 Giro d'Italia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-01000",
"question": "How many leaders are there in the Intergiro classification in the 20th stage of the 1993 Giro d'Italia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lampre-Polti"
],
"style": "rule"
} | {
"answer": [
"Lampre-Polti"
],
"id": "wikisql-01001",
"question": "What is the leading team in the Trofeo Fast Team in stage 20 for the 1993 Giro d'Italia classification lead by stage?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-01004",
"question": "Name the lead in the general classification of the 15th stage of the Giro d'Italia 1994?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gewiss-Ballan"
],
"style": "rule"
} | {
"answer": [
"Gewiss-Ballan"
],
"id": "wikisql-01005",
"question": "Name the 1994 trofeo fast team, stage 2, Giro d'Italia's lead in classification by stage?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Evgeni Berzin"
],
"style": "rule"
} | {
"answer": [
"Evgeni Berzin"
],
"id": "wikisql-01006",
"question": "Name the leadership of the Young Rider classification of the Giro d'Italia 1994 with laudelino cubino ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-01007",
"question": "Name the total number of trofeo fast team of stage 16 in 1994. Giro d'Italia's classification lead by stage?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1920"
],
"style": "rule"
} | {
"answer": [
"1920"
],
"id": "wikisql-01842",
"question": "What was the last year that incumbent joseph t. Deal was first elected in Virginia in the 1926 election to the United States House of Representatives?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1912"
],
"style": "rule"
} | {
"answer": [
"1912"
],
"id": "wikisql-01843",
"question": "In what year was the first person elected to the United States House of Representatives in Virginia, 1926?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"202151323"
],
"style": "rule"
} | {
"answer": [
"202151323"
],
"id": "wikisql-01980",
"question": "What is the maximum total population of the Catholic Church by country with a Catholicism of 1.17% in Africa?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-01981",
"question": "How many total populations with Catholics is less than 31370649.1405057 and the North Africa region under the Catholic Church in the country?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Second Chance > Final"
],
"style": "rule"
} | {
"answer": [
"Second Chance > Final"
],
"id": "wikisql-04404",
"question": "What is the result for Spain in the semi-finals of the Eurovision Song Contest 2-21 February 2009 for Salva Ortega?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7"
],
"style": "rule"
} | {
"answer": [
"7"
],
"id": "wikisql-04405",
"question": "How many televotes are there for \"Lujuria\" among the Spaniards in the semifinals of the Eurovision Song Contest from February 2nd to 21st, 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": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-04406",
"question": "How many televotes are there where there are 4 jury votes for Spain in the Eurovision Song Contest 2009 semi-finals February 2-21, 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": [
"7"
],
"style": "rule"
} | {
"answer": [
"7"
],
"id": "wikisql-04407",
"question": "How many jury votes vote for the televote of 7 for Spain in the semifinals of the Eurovision Song Contest from 2nd to 21st February 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": [
"Mike Keaffaber"
],
"style": "rule"
} | {
"answer": [
"Mike Keaffaber"
],
"id": "wikisql-04461",
"question": "Name the principal of Northfield Junior-Senior High School in the List of High Schools in Indiana, Wabash County. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Manchester Junior-Senior High School"
],
"style": "rule"
} | {
"answer": [
"Manchester Junior-Senior High School"
],
"id": "wikisql-04462",
"question": "From Indiana high school list, what is the name of North Manchester High School in Wabash County public school system?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Northfield Junior-Senior High School"
],
"style": "rule"
} | {
"answer": [
"Northfield Junior-Senior High School"
],
"id": "wikisql-04463",
"question": "Name the school/s in the list of high schools in Indiana, Wabash County with a size of 604 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Snapshot"
],
"style": "rule"
} | {
"answer": [
"Snapshot"
],
"id": "wikisql-04464",
"question": "What is IDOE North Manchester Profile under Indiana Wabash County High School 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": [
"07-12"
],
"style": "rule"
} | {
"answer": [
"07-12"
],
"id": "wikisql-04465",
"question": "What grades are awarded at Manchester Junior-Senior High School on the Indiana Wabash County High School 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": [
"100324"
],
"style": "rule"
} | {
"answer": [
"100324"
],
"id": "wikisql-07620",
"question": "From the list of ballot measures for the 1926 Oregon general election, what is the largest number of votes in favor of the measure with 61307 votes against?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07621",
"question": "From the list of voting measures for the 1926 Oregon general election, which numbered measure had 58.29% yes percent?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"YES"
],
"style": "rule"
} | {
"answer": [
"YES"
],
"id": "wikisql-07622",
"question": "What was the 1926 general election pass result for the 61,307 vote-no vote in the Oregon ballot?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07623",
"question": "What is the lowest action number for the action with a 33.57% yes percentage in the Oregon ballot action in the 1926 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": [
"No"
],
"style": "rule"
} | {
"answer": [
"No"
],
"id": "wikisql-07624",
"question": "From the list of Oregon ballot measures in the 1926 general election, what was the positive result for the action describing the bill for the bus and truck operating license?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07626",
"question": "From the list of ballot measures for the 1928 Oregon general election, list the total number of constitutional changes for a five-cent gas tax bill. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Init"
],
"style": "rule"
} | {
"answer": [
"Init"
],
"id": "wikisql-07627",
"question": "What kind of proposal is measure number 3 in the list of voting measures of the 1928 Oregon 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": [
"61.92%"
],
"style": "rule"
} | {
"answer": [
"61.92%"
],
"id": "wikisql-07635",
"question": "What was the percentage of votes in favor of the measure that voted against 199174 among Oregon ballot measures in the 1962 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-07636",
"question": "How many types are there for the measure that got 312,680 votes in favor in the 1962 Oregon general election 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-07637",
"question": "How many numbers are there for votes against changing the debt limit for forest cleanup on the list of ballot measures for the 1962 Oregon 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": [
"LEG"
],
"style": "rule"
} | {
"answer": [
"LEG"
],
"id": "wikisql-07638",
"question": "What is the type of measure that voted on the Oregon ballot measure list in the 1962 general election to change the debt limit for benefit development?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07642",
"question": "What is the total number of yes votes among the 1958 Oregon general election ballots where the no votes are less than 299939.1619948521 and %yes is 66.49%?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yes"
],
"style": "rule"
} | {
"answer": [
"Yes"
],
"id": "wikisql-07650",
"question": "In the voting actions for the May 1974 Oregon election, was the Constitution amended regarding the action described as authorizing bonds for the Water Development Fund?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"198563"
],
"style": "rule"
} | {
"answer": [
"198563"
],
"id": "wikisql-07651",
"question": "How many yes votes were there for measure 4 in the Oregon ballot, May 1974?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yes"
],
"style": "rule"
} | {
"answer": [
"Yes"
],
"id": "wikisql-07652",
"question": "Was the constitution changed when the percentage of yes votes in the list of electoral measures in Oregon was 69.82% in May 1974?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07653",
"question": "What was the lowest action number related to Oregon Election Actions, May 1974?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-07656",
"question": "How much data is there under NO vote describing the $1500 tax exemption change under the Oregon general election measures of 1914?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Benedict Burnett"
],
"style": "rule"
} | {
"answer": [
"Benedict Burnett"
],
"id": "wikisql-09466",
"question": "Who was the vocal percussionist on the Out of the Blue discography when Stevie Wonder was the original Artist 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": [
"20107050"
],
"style": "rule"
} | {
"answer": [
"20107050"
],
"id": "wikisql-13651",
"question": "What is the Catholic when the percentage of Catholics is 1.39% in the Asian country's Roaman Catholic Church?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"11.24%"
],
"style": "rule"
} | {
"answer": [
"11.24%"
],
"id": "wikisql-13652",
"question": "With 3.33% Roman Catholic and a total population of more than 1,528,384,440, what is the percentage of the Catholic population worldwide. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15346",
"question": "What is the lowest win with events greater than 30 for the 1998 PGA Tour money leaders?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-15347",
"question": "Which events have revenue of 1,841,117 and rank less than 4 among the 1998 PGA Tour money leaders?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-15348",
"question": "How many 1998 PGA Tour events have revenue ($) of 2,054,334?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-16322",
"question": "Events of 22 and a rank less than 4 affected the lowest earnings (1995 PGA Tour $?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-16323",
"question": "Corey Pavin player and ranked greater than 4 on the 1995 PGA Tour involved in what highest win ($)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-16324",
"question": "What is the lowest win on the 1995 PGA Tour, events greater than 22 and a win ($) of 1,543,192 and ranked less than 2 PGA Tour's Money Leaders?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-16325",
"question": "The country of the United States and an event of 22 and a profit ($) of more than 1,340,079 has the highest ranking among the money leaders of the 1995 PGA tournament?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Aluminium-Magnesium"
],
"style": "rule"
} | {
"answer": [
"Aluminium-Magnesium"
],
"id": "wikisql-17199",
"question": "Which metal among modern Indian coins has a size of 26 mm (above shells) in the aluminum series from 1964?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 g"
],
"style": "rule"
} | {
"answer": [
"1 g"
],
"id": "wikisql-17200",
"question": "What is the weight with the shape of shells, and is this a size of 20mm (above shells) among modern Indian coins, aluminum series from 1964?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1.25 g"
],
"style": "rule"
} | {
"answer": [
"1.25 g"
],
"id": "wikisql-17201",
"question": "How much does modern Indian aluminum series coins from 1964 weigh for a face value of three paise?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2.3 g"
],
"style": "rule"
} | {
"answer": [
"2.3 g"
],
"id": "wikisql-17202",
"question": "What is the weight of ten paise denomination among modern Indian aluminum series coins from 1964?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2.0"
],
"style": "rule"
} | {
"answer": [
"2.0"
],
"id": "wikisql-17820",
"question": "What is the average round for Notre Dame's #49 draft pick in the 1978 Pittsburgh Steelers draft 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": [
"Maryland"
],
"style": "rule"
} | {
"answer": [
"Maryland"
],
"id": "wikisql-17821",
"question": "Which college is draft pick #327 from the 1978 Pittsburgh Steelers draft 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": [
"Notre Dame"
],
"style": "rule"
} | {
"answer": [
"Notre Dame"
],
"id": "wikisql-17822",
"question": "From the list of 1978 Pittsburgh Steelers season picks on draft day, which college is pick number 268?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-17823",
"question": "Which round pick was pick number 101 playing defensive back for the Pittsburgh Steelers in the 1978 draft 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": [
"327"
],
"style": "rule"
} | {
"answer": [
"327"
],
"id": "wikisql-17824",
"question": "How many Pittsburgh Steelers in the 1978 draft season came from the College of Maryland and were selected in a round greater than 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": [
"Viswanathan Anand ( IND )"
],
"style": "rule"
} | {
"answer": [
"Viswanathan Anand ( IND )"
],
"id": "wikisql-18256",
"question": "Which player has a rating greater than 2746, with a prev less than 4 and +4 as chng among the 2008 in the FIDE Top Ten April 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": [
"+16"
],
"style": "rule"
} | {
"answer": [
"+16"
],
"id": "wikisql-18257",
"question": "Which changes have a rank greater than 6, with 12 being the previous under 2008 in the FIDE April 2008 Top Ten?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-18258",
"question": "What is the highest prev ranking 9 with a rating less than 2746 among the 2008 FIDE April 2008 Chess Top Ten?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-18524",
"question": "Can you tell me the total number of prevs with a Chng of +10 and a rating greater than 2765 for the FIDE January 2008 top ten in chess?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Roy Thomas"
],
"style": "rule"
} | {
"answer": [
"Roy Thomas"
],
"id": "wikisql-19138",
"question": "What is the title of the story published on Conan: Road of Kings (Dark Horse Comics) on October 19, 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": [
"#7"
],
"style": "rule"
} | {
"answer": [
"#7"
],
"id": "wikisql-19139",
"question": "What issue number was released on Conan: Road of Kings (Dark Horse Comics) on August 17, 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": [
"Roy Thomas"
],
"style": "rule"
} | {
"answer": [
"Roy Thomas"
],
"id": "wikisql-19140",
"question": "Which story title was included in issue #8 of Conan: Road of Kings (Dark Horse Comics)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Robbie Ftorek"
],
"style": "rule"
} | {
"answer": [
"Robbie Ftorek"
],
"id": "wikisql-19283",
"question": "From the United States national ice hockey team roster at the 1976 Canada Cup, whose height in centimeters is 178 if his weight in kilograms is less than 91?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"86"
],
"style": "rule"
} | {
"answer": [
"86"
],
"id": "wikisql-20986",
"question": "From the 1991 Canada Cup list of United States national ice hockey teams, what is the highest weight for the D position, and the 1990–1991 team was the Chicago Blackhawks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"185.0"
],
"style": "rule"
} | {
"answer": [
"185.0"
],
"id": "wikisql-20987",
"question": "What is the average size for the position of d, with a Birthplace of New Hope, 1991 Minnesota Canada 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": [
"Pittsburgh Penguins"
],
"style": "rule"
} | {
"answer": [
"Pittsburgh Penguins"
],
"id": "wikisql-20988",
"question": "What is the 1990–1991 US national ice hockey team roster if birthplace shows as New York in the 1991 Canada 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": [
"G"
],
"style": "rule"
} | {
"answer": [
"G"
],
"id": "wikisql-20989",
"question": "From the United States national ice hockey team list for the 1991 Canada Cup squad, what is the position when the person's place of birth was Toledo, Ohio?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Calgary Flames"
],
"style": "rule"
} | {
"answer": [
"Calgary Flames"
],
"id": "wikisql-20990",
"question": "From the United States national ice hockey team roster for the 1991 Canada Cup, what is the 1990–1991 team that Joel Otto had?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Winnipeg Jets"
],
"style": "rule"
} | {
"answer": [
"Winnipeg Jets"
],
"id": "wikisql-21103",
"question": "From the United States national ice hockey team list for the 1981 Canada Cup, what was the Warroad, Minnesota native's 1980-1981 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-21156",
"question": "What jersey number has a height (cm) of 183, a name of Paul Stastny and a weight (kg) less than 93 in the 2006 IIHF World Championship USA National Ice Hockey Team 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": [
"toder (your)"
],
"style": "rule"
} | {
"answer": [
"toder (your)"
],
"id": "wikisql-21942",
"question": "What is plural when singular is tor (your) among the personal pronouns of Bengali grammar?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"H"
],
"style": "rule"
} | {
"answer": [
"H"
],
"id": "wikisql-21943",
"question": "What is proximity when honor is P and when singular is ẽr (his/her/his) among personal pronouns of Bengali grammar?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-21944",
"question": "What is the lowest subject when plural tãder (your) is among the personal pronouns of Bengali grammar?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-21945",
"question": "What is proximity when plural is adamer (our) in Bengali grammar: plural personal pronouns (possessive case)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"P"
],
"style": "rule"
} | {
"answer": [
"P"
],
"id": "wikisql-21946",
"question": "What is honor when singular ẽr (his/her/his) is among the personal pronouns of the prounnounciers (possessive case) in Bengali grammar?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"to suck"
],
"style": "rule"
} | {
"answer": [
"to suck"
],
"id": "wikisql-22432",
"question": "What is the meaning of the verb for sucking in Part 1 among the Old High Germanic strong verbs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"to give"
],
"style": "rule"
} | {
"answer": [
"to give"
],
"id": "wikisql-22433",
"question": "What does the strong Germanic verb for gifts in Part 3 of Old High German mean?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3b"
],
"style": "rule"
} | {
"answer": [
"3b"
],
"id": "wikisql-22434",
"question": "Which class is for Gehelfen Gedroschen in part 4 among the Germanic strong verbs in Old High German?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-22435",
"question": "What is the class for met in Old High German Part 3 among Germanic strong verbs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"to hit"
],
"style": "rule"
} | {
"answer": [
"to hit"
],
"id": "wikisql-22436",
"question": "What is the meaning of the verb for class 4 in the Germanic strong verb in Old High German?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-23130",
"question": "How much international mail has a +35.7% change after 2008 in Turku airport cargo and mail loaded/unloaded (tonnes)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-23131",
"question": "How much international mail has 4,650 international freight and more than 0 domestic mail at Turku Airport?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-23132",
"question": "What is the largest domestic freight at Turku Airport with a change of +9.8% and a total freight and mail greater than 3,278 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-23133",
"question": "How much international cargo has a change of +0.2% with more than 0 international mail for loaded/unloaded cargo and Turku airport mail (tonnes)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-23134",
"question": "What is the international mail with the highest count showing a change of +0.2% and less than 0 domestic mail among Turku Airport's loaded/unloaded freight and mail (tonnes)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-23135",
"question": "What is the international mail with the lowest count of less than 72 domestic freight, 0 domestic mail after 2012 with total freight and mail greater than 4,695 for Turku Airport?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-23527",
"question": "What is the average number of players who made their club debuts during the 2008 season after moving 21 games for a debut round less than 1 for the 2008 AFL debuts 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": [
"Marine."
],
"style": "rule"
} | {
"answer": [
"Marine."
],
"id": "wikisql-24531",
"question": "From the list of natural landmarks, what is the description of tourism in Belize if the reserve is Half Moon Caye?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Stann Creek"
],
"style": "rule"
} | {
"answer": [
"Stann Creek"
],
"id": "wikisql-24532",
"question": "From list of natural landmarks, which tourism district in Belize has an IUCN of iii and was established in 1998?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ia"
],
"style": "rule"
} | {
"answer": [
"Ia"
],
"id": "wikisql-24533",
"question": "What is the IUNC of Cayo District and Actun Tunichil Muknal Reserve under Tourism in Belize's Natural Landmarks 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": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikisql-25247",
"question": "What is the lowest ratings episode number of Domestic Blitz Series 1 (2008) with an original air date of June 8, 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": [
"Velli"
],
"style": "rule"
} | {
"answer": [
"Velli"
],
"id": "wikisql-25255",
"question": "According to the comparison table with the corresponding days of the week What is the Tamil with a Sukravar under the Malayalam calendar?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Shanivar"
],
"style": "rule"
} | {
"answer": [
"Shanivar"
],
"id": "wikisql-25256",
"question": "According to the comparison table showing the corresponding days of the week, which Hindi has a Kannada of Shanivara under the Malayalam calendar?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Velli"
],
"style": "rule"
} | {
"answer": [
"Velli"
],
"id": "wikisql-25257",
"question": "According to the comparison table with the corresponding days of the week, the Malayalam calendar is the Malayam or Malayalam മലയാളം for വെള്ളി?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Budhan"
],
"style": "rule"
} | {
"answer": [
"Budhan"
],
"id": "wikisql-25258",
"question": "What is the TAMIL that has KANNADA in Budhavara under the Malayalam Calendar - Comparison Table with Corresponding Days of the Week",
"split": "train"
} |
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