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": [
"34"
],
"style": "rule"
} | {
"answer": [
"34"
],
"id": "wikisql-03188",
"question": "Name the Atlanta Falcons' points for the 3-2 record in the 1982 season schedule?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jan. 2"
],
"style": "rule"
} | {
"answer": [
"Jan. 2"
],
"id": "wikisql-03189",
"question": "For the Atlanta Falcons 1982 season schedule, give the date for Game 9?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-03190",
"question": "Name the maximum game for spectators, which is 54774 for the Atlanta Falcons 1982 season schedule. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-03191",
"question": "What is the 1982 Atlanta Falcons season total for New Orleans Saints on schedule?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-03203",
"question": "What is the total number of wins for Ken Schrader in the 1995 NASCAR Nationwide Series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-03204",
"question": "Name the best top 5 for an average score of 5.0 in the NASCAR Nationwide Series Ken Schrader list?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-03205",
"question": "In the NASCAR Nationwide Series, give the poles for the average finish in Ken Schrader 26.8?",
"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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-03206",
"question": "What is the total number of teams for the top 10 that is 5 for Ken Schrader's NASCAR Nationwide Series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Marko Happich / Meinrad Schelbert"
],
"style": "rule"
} | {
"answer": [
"Marko Happich / Meinrad Schelbert"
],
"id": "wikisql-03213",
"question": "Name the driver/co-driver for 8th place in the 2011 World Sidecarcross Championship 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": [
"Ben Adriaenssen / Guennady Auvray"
],
"style": "rule"
} | {
"answer": [
"Ben Adriaenssen / Guennady Auvray"
],
"id": "wikisql-03214",
"question": "Name the driver/co-driver for 6th place in the 2011 World Sidecarcross Championship 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": [
"33%"
],
"style": "rule"
} | {
"answer": [
"33%"
],
"id": "wikisql-03226",
"question": "Name Republican Steve Sauerberg for August 12, 2008 in Opinion Polls for United States Senate Election, Illinois 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": [
"Southern Outreach"
],
"style": "rule"
} | {
"answer": [
"Southern Outreach"
],
"id": "wikisql-03227",
"question": "What is the polling source for July 12, 2008 at United States Senate Opinion Polls, Illinois 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": [
"33%"
],
"style": "rule"
} | {
"answer": [
"33%"
],
"id": "wikisql-03228",
"question": "Name Republican Steve Sauerberg for August 12, 2008 in Opinion Polls for United States Senate Election, Illinois 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": [
"33%"
],
"style": "rule"
} | {
"answer": [
"33%"
],
"id": "wikisql-03229",
"question": "Name Republican Steve Sauerberg for August 12, 2008 in Opinion Polls for United States Senate Election, Illinois 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": [
"48%"
],
"style": "rule"
} | {
"answer": [
"48%"
],
"id": "wikisql-03230",
"question": "What did Mark Begich vote for in the Alaska United States Senate Election on October 6, 2008?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-03232",
"question": "In the Alaska elections of July 17, 2008, what was the total number of leading Maragines in the opinion polls for the 2008 United States Senate elections?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-03235",
"question": "What was Michigan's smallest lead when the polling source came from Strategic Vision and Democrat Carl Levin had 57% in the opinion polls for the 2008 US Senate 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": [
"EPIC-MRA"
],
"style": "rule"
} | {
"answer": [
"EPIC-MRA"
],
"id": "wikisql-03236",
"question": "What was the polling source when Democrat Carl Levin had 54% and a 28% lead in the opinion poll for the 2008 US Senate election in Michigan?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-03237",
"question": "In the opinion polls for the 2008 US Senate election, how much data was recorded when the polls were sourced from Strategic Vision and Republican Jackie had 29% under Hoogendyk's Michigan?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"25.7N"
],
"style": "rule"
} | {
"answer": [
"25.7N"
],
"id": "wikisql-03238",
"question": "From the list of geological features on Ganymedes Faculae, what is their latitude if the diameter is 184.0?",
"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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-03239",
"question": "How many lengths of geologic feature are 224.0 in diameter for Ganymede Faculae?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Egyptian town where Min was worshipped."
],
"style": "rule"
} | {
"answer": [
"Egyptian town where Min was worshipped."
],
"id": "wikisql-03240",
"question": "What is the namesake of the feature found at 189.5 W in the list of geological features on Ganymedes Faculae?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Egyptian town where Horus was worshipped."
],
"style": "rule"
} | {
"answer": [
"Egyptian town where Horus was worshipped."
],
"id": "wikisql-03241",
"question": "From the list of geological features on Ganymede's Faculae, if longitude is 147.1w, what is the feature's namesake?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-03242",
"question": "Among the list of geological features on Ganymedes Faculae, how many lines of longitude have a latitude of 9.9n?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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. FFC Frankfurt"
],
"style": "rule"
} | {
"answer": [
"1. FFC Frankfurt"
],
"id": "wikisql-03243",
"question": "For the 2007/08 league season of 1. FFC Turbine Potsdam, name the opponent for May 12, 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": [
"1200.0"
],
"style": "rule"
} | {
"answer": [
"1200.0"
],
"id": "wikisql-03256",
"question": "From the list of geological features on the tesserae of Venus, name the diameter for Licho, the East Slavic deity of bad luck. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kruchina Tesserae"
],
"style": "rule"
} | {
"answer": [
"Kruchina Tesserae"
],
"id": "wikisql-03257",
"question": "Give the name of 36.0n in the list of geological features on the tesserae of Venus?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"55.0N"
],
"style": "rule"
} | {
"answer": [
"55.0N"
],
"id": "wikisql-03258",
"question": "Name the latitude of laima tessera in the list of geological features on Venus' tesserae?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hikuleo , a n Tonga underworld goddess."
],
"style": "rule"
} | {
"answer": [
"Hikuleo , a n Tonga underworld goddess."
],
"id": "wikisql-03259",
"question": "Give the origin of the name for 54.0e in the list of geological features on Venus' tesserae?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-03260",
"question": "Give the total number of years named after Athena, the Greek goddess of wisdom, in the list of geological features on the tesserae of Venus?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Semele Tholi"
],
"style": "rule"
} | {
"answer": [
"Semele Tholi"
],
"id": "wikisql-03262",
"question": "Where is longitude 202.9e among the list of geological features of Tholi on Venus?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2000"
],
"style": "rule"
} | {
"answer": [
"2000"
],
"id": "wikisql-03264",
"question": "In what year was Norterma Tholus on Venus created among the list of geological features of Tholi on Venus?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Amazon."
],
"style": "rule"
} | {
"answer": [
"Amazon."
],
"id": "wikisql-03265",
"question": "What is the origin of the name of the list of geological features on Venus lineae at longitude 355.0e?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Celtic war goddess."
],
"style": "rule"
} | {
"answer": [
"Celtic war goddess."
],
"id": "wikisql-03266",
"question": "What is the Morrigan Linea name origin among the list of geological features on Venus?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-03267",
"question": "From the list of geologic features on Venus' lineae, how many years is a measure of longitude 20.0e?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"800.0"
],
"style": "rule"
} | {
"answer": [
"800.0"
],
"id": "wikisql-03268",
"question": "What is the diameter in km at longitude 293.0e in the list of geological features on the line of Venus?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2006-08-07 7 August 2006"
],
"style": "rule"
} | {
"answer": [
"2006-08-07 7 August 2006"
],
"id": "wikisql-03269",
"question": "What is the release date of the bonus interview with Peter Purves among the TV soundtracks of the Doctor Who audio release 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": [
"Hines, Frazer Frazer Hines",
"Hines, Frazer Frazer Hines"
],
"style": "rule"
} | {
"answer": [
"Hines, Frazer Frazer Hines",
"Hines, Frazer Frazer Hines"
],
"id": "wikisql-03270",
"question": "Which narrator among the Doctor Who audio releases has the bonus interview with Frazer Hines among the television soundtracks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2012-11-05 5 November 2012"
],
"style": "rule"
} | {
"answer": [
"2012-11-05 5 November 2012"
],
"id": "wikisql-03271",
"question": "What is the release date for Doctor Who audio releases for Destiny of the Daleks' Television Soundtracks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"12.4"
],
"style": "rule"
} | {
"answer": [
"12.4"
],
"id": "wikisql-03272",
"question": "What were Wells Fargo's earnings (in billions) in 2011 Forbes Global 2000?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"11"
],
"style": "rule"
} | {
"answer": [
"11"
],
"id": "wikisql-03273",
"question": "What is the Forbes Global 2000 ranking for the 2011 BNP Paribas 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": [
"China"
],
"style": "rule"
} | {
"answer": [
"China"
],
"id": "wikisql-03274",
"question": "Where is the headquarters of the company whose turnover in the Forbes Global 2000 list is 69.2 billion in 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": [
"251.3"
],
"style": "rule"
} | {
"answer": [
"251.3"
],
"id": "wikisql-03275",
"question": "In the Forbes Global 2000 list of 2011, what are the assets (in billions) of the China-headquartered company with a profit of 21.2 billion?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"25.7"
],
"style": "rule"
} | {
"answer": [
"25.7"
],
"id": "wikisql-03276",
"question": "What are the earnings (in billions) of the company with a market value of $172.9 billion on the 2011 Forbes Global 2000 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": [
"14.2"
],
"style": "rule"
} | {
"answer": [
"14.2"
],
"id": "wikisql-03277",
"question": "With assets of $192.8 billion, what are the earnings (in billions) for the Forbes Global 2000 2011 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-03287",
"question": "In the 2005 Forbes Global 2000 list, give the rank number for 9.52 wins?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"USA"
],
"style": "rule"
} | {
"answer": [
"USA"
],
"id": "wikisql-03288",
"question": "Name the country for the market value of 188.77 in the 2005 Forbes Global 2000 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-03293",
"question": "How many p.ret are there if kr avg is 11.3 in the 2008 Edmonton Eskimos season return?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-03294",
"question": "What is the kr td of the edmonton eskimos 2008 season if mfg lg is 64 years old?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0.0"
],
"style": "rule"
} | {
"answer": [
"0.0"
],
"id": "wikisql-03296",
"question": "What is the average if kr lg is 49 for the 2008 Edmonton Eskimos season return?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Renault"
],
"style": "rule"
} | {
"answer": [
"Renault"
],
"id": "wikisql-03346",
"question": "What is the constructor if the Q1 order is 4 for qualifying of the 2005 San Marino 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": [
"15"
],
"style": "rule"
} | {
"answer": [
"15"
],
"id": "wikisql-03347",
"question": "What is the Q1 order for Felipe Massa in qualifying for the 2005 San Marino 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": [
"1:20.807"
],
"style": "rule"
} | {
"answer": [
"1:20.807"
],
"id": "wikisql-03348",
"question": "What is the Q1 time for the driver with qualifying order 6 in qualifying of the 2005 San Marino 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"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-03349",
"question": "How many Q1 numbers are given for Alexander Wurz in qualifying for the 2005 San Marino 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": [
"18th"
],
"style": "rule"
} | {
"answer": [
"18th"
],
"id": "wikisql-03351",
"question": "Which position offers winnings of $4,228,889 in Sterling Marlin's NASCAR Sprint Cup Series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-03352",
"question": "How many poles did Team #14 GINN Racing under Sterling Marlin have in the NASCAR Sprint Cup Series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"$369,167"
],
"style": "rule"
} | {
"answer": [
"$369,167"
],
"id": "wikisql-03353",
"question": "If pole is 0 and position 14th in the NASCAR Sprint Cup Series is Sterling Marlin, what are the gains?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"32"
],
"style": "rule"
} | {
"answer": [
"32"
],
"id": "wikisql-03354",
"question": "Which Start Won $1,301,370 in Sterling Marlin's NASCAR Sprint Cup Series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-03355",
"question": "For the NASCAR Sprint Cup Series top 5 of Team No. 40 Chip Ganassi Racing, which top 5 is the highest while the top 10 is the 5 for Sterling Marlin?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Resigned"
],
"style": "rule"
} | {
"answer": [
"Resigned"
],
"id": "wikisql-03360",
"question": "How did Petrik Sander deal with the 3rd division between 2008 and 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": [
"Resigned"
],
"style": "rule"
} | {
"answer": [
"Resigned"
],
"id": "wikisql-03361",
"question": "How was the departure of Edgar Schmitt from the Stuttgarter Kickers during the coaching change in the 3rd division in 2008/09?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"21 November 2008"
],
"style": "rule"
} | {
"answer": [
"21 November 2008"
],
"id": "wikisql-03362",
"question": "Bundesliga 2011 coaching change, when was Jürgen Kohler appointed as the outgoing 3rd division coach in 2008/09?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-03363",
"question": "How many appointment dates were recorded when Jurgen Kohler was replaced by 3. Liga in 2008/09?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Emanuel Lasker, 2854"
],
"style": "rule"
} | {
"answer": [
"Emanuel Lasker, 2854"
],
"id": "wikisql-03386",
"question": "What's every 5-year peak with one when Anatoly Karpov, 2820, is a 15-year peak among Chessmetrics' comparison of the best chess players throughout history?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-03387",
"question": "What is the highest rank if Garry Kasparov, 2879, is the 1-year high compared to other top chess players in Chessmetrics history?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-03389",
"question": "Comparing the best chess players throughout history, what is the highest rank if Anatoly Karpov, 2820, is the 15-year peak of Chessmetrics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"265932"
],
"style": "rule"
} | {
"answer": [
"265932"
],
"id": "wikisql-03394",
"question": "Considering Bolivia's irrigation investment and funding, what was the local investment (in $) in the department's projects with $912,185 BID/PRONAR investment?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3077"
],
"style": "rule"
} | {
"answer": [
"3077"
],
"id": "wikisql-03395",
"question": "How many farmers have been included in Bolivia's Irrigation Investment and Funding Department with 32 projects?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tarija"
],
"style": "rule"
} | {
"answer": [
"Tarija"
],
"id": "wikisql-03396",
"question": "Which Department of Irrigation in Bolivia irrigates 2170 ha Investments and financing ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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, 740,746"
],
"style": "rule"
} | {
"answer": [
"1, 740,746"
],
"id": "wikisql-03397",
"question": "What was the BID/PRONAR investment (in $) in the department that involved 1326 farmers in their irrigation projects in Bolivia's investment and financing?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Cochabamba"
],
"style": "rule"
} | {
"answer": [
"Cochabamba"
],
"id": "wikisql-03398",
"question": "Regarding investments and financing in irrigation systems in Bolivia, which department received $626,798 in local investments?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bracknell Bees"
],
"style": "rule"
} | {
"answer": [
"Bracknell Bees"
],
"id": "wikisql-03402",
"question": "From the Guildford Flames 2008/09 season list, who was the opponent in the game that won 4-1 in January?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1552"
],
"style": "rule"
} | {
"answer": [
"1552"
],
"id": "wikisql-03403",
"question": "What was the attendance at the game where Neil Liddiard was the Guildford Flames Man of the Match in January 2008/09?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Home"
],
"style": "rule"
} | {
"answer": [
"Home"
],
"id": "wikisql-03404",
"question": "What was the venue of the game that the Guildford Flames lost 4-3 in January of the 2008/09 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": [
"Home"
],
"style": "rule"
} | {
"answer": [
"Home"
],
"id": "wikisql-03405",
"question": "What is the venue of the Man of the Match Vaclav Zavoral match from the 2008-09 Guildford Flames season in January?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-03406",
"question": "January How many attendances are given for the game in the 2008/09 season the Guildford Flames lost the final score 5-3. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"17886"
],
"style": "rule"
} | {
"answer": [
"17886"
],
"id": "wikisql-03407",
"question": "If the census rank is 231 of 5,008, what was the population of the townships of Kings County, New Brunswick?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Grand Bay-Westfield"
],
"style": "rule"
} | {
"answer": [
"Grand Bay-Westfield"
],
"id": "wikisql-03408",
"question": "If the parish has an area of 59.73, what is its official name in Kings County, New Brunswick?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Town"
],
"style": "rule"
} | {
"answer": [
"Town"
],
"id": "wikisql-03409",
"question": "If the census rank is 693 of 5,008, what is the status of Kings County, New Brunswick's Communities?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"231 of 5,008"
],
"style": "rule"
} | {
"answer": [
"231 of 5,008"
],
"id": "wikisql-03410",
"question": "Officially named Quispamsis, what is the census rank of Kings County, New Brunswick's Communities?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4292"
],
"style": "rule"
} | {
"answer": [
"4292"
],
"id": "wikisql-03411",
"question": "What was the population of Kings County, New Brunswick, ranked 782 out of 5,008 in the 2001 Census of Parishes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"336 of 5,008"
],
"style": "rule"
} | {
"answer": [
"336 of 5,008"
],
"id": "wikisql-03412",
"question": "If the area of Kings County, New Brunswick is 34.73, what does the census rank among parishes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3,729 of 5,008"
],
"style": "rule"
} | {
"answer": [
"3,729 of 5,008"
],
"id": "wikisql-03413",
"question": "What is the census ranking order(s) in Madawaska County, the parishes of New Brunswick, for a population of 284?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1,942 of 5,008"
],
"style": "rule"
} | {
"answer": [
"1,942 of 5,008"
],
"id": "wikisql-03414",
"question": "What are the census rankings among the communities of Madawaska County, New Brunswick covering 369.25 km2 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"791"
],
"style": "rule"
} | {
"answer": [
"791"
],
"id": "wikisql-03415",
"question": "What is the population of an area of 715.58 in Parishes in Madawaska County, New Brunswick?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Parish"
],
"style": "rule"
} | {
"answer": [
"Parish"
],
"id": "wikisql-03416",
"question": "What is the status of Saint-Jacques in the parish of Saint-Jacques, Madawaska County, New Brunswick?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"321.87"
],
"style": "rule"
} | {
"answer": [
"321.87"
],
"id": "wikisql-03417",
"question": "What are the areas (km2) for Saint-Joseph in Madawaska County, the parishes of New Brunswick?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7385"
],
"style": "rule"
} | {
"answer": [
"7385"
],
"id": "wikisql-03422",
"question": "What is the population of each city status parish in Restigouche County, New Brunswick?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Charlo"
],
"style": "rule"
} | {
"answer": [
"Charlo"
],
"id": "wikisql-03423",
"question": "What is the name of the municipality with an area of 30.75 km²? under Restigouche County, New Brunswick ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"17.43"
],
"style": "rule"
} | {
"answer": [
"17.43"
],
"id": "wikisql-03424",
"question": "What is the area of the parish of 1209 people in Restigouche County, New Brunswick?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-03425",
"question": "How many population values are listed for the municipality with an area of 10.25 km²? under Restigouche County, New Brunswick ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-03445",
"question": "Name the driver/co-driver for 30 drivers in the 2009 World Sidecarcross Championship. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"79"
],
"style": "rule"
} | {
"answer": [
"79"
],
"id": "wikisql-03446",
"question": "For the 2009 World Sidecarcross Championship, name the maximum bike position number for 30 riders. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-03464",
"question": "When they played against San Lorenzo, what was the result in the second leg of the 2009 Copa Sudamericana round of 16?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-03465",
"question": "When you played Universidad de Chile, what was the result of the first leg of the 2009 Copa Sudamericana round of 16?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Cienciano"
],
"style": "rule"
} | {
"answer": [
"Cienciano"
],
"id": "wikisql-03466",
"question": "Who played against San Lorenzo in the 2009 Copa Sudamericana round of 16?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Vitória"
],
"style": "rule"
} | {
"answer": [
"Vitória"
],
"id": "wikisql-03467",
"question": "Who played River Plate in the 2009 Copa Sudamericana Round of 16?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-03468",
"question": "What was the result on the 1st stage if the team was 2 botafogo under the first stage of the 2009 Copa Sudamericana?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Coritiba"
],
"style": "rule"
} | {
"answer": [
"Coritiba"
],
"id": "wikisql-03469",
"question": "Who played against Team 1 Vitória in the first round of the Copa Sudamericana in 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": [
"Cienciano"
],
"style": "rule"
} | {
"answer": [
"Cienciano"
],
"id": "wikisql-03470",
"question": "Who played against Team 1 Liverpool in the first round of the 2009 Copa Sudamericana?",
"split": "train"
} |
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