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1
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stringlengths 20
17.7k
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stringclasses 1
value | source_datasets
listlengths 1
1
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listlengths 2
2
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listlengths 2
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[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What is The United States leading dairy state\nQuestion 2: Who Directed the 'Oscar' winning film of 2000, 'American Beauty'?",
"role": "user"
}
] |
["Badger State", "State of Wisconsin", "Wis.", "Transportation in Wisconsin", "Government of Wisconsin", "Climate of Wisconsin", "Wisconsin, USA", "Wiscosin, USA", "Wisconsin", "30th State", "Wisconson", "Politics of Wisconsin", "Demographics of Wisconsin", "America's Dairyland", "Winconsin", "Religion in Wisconsin", "Transport in Wisconsin", "US-WI", "Wisconsin state", "Economy of Wisconsin", "The Badger State", "Wisconsin (state)", "Education in Wisconsin", "Geography of Wisconsin", "Wiskonsin", "Wisconsin (U.S. state)", "Thirtieth State", "Film industry in Wisconsin", "Wisc.", "Badger state", "Wisconsin, United States"]; ["Sam Mendes", "Samuel Alexander Mendes", "SAM MENDES"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Badger State\", \"State of Wisconsin\", \"Wis.\", \"Transportation in Wisconsin\", \"Government of Wisconsin\", \"Climate of Wisconsin\", \"Wisconsin, USA\", \"Wiscosin, USA\", \"Wisconsin\", \"30th State\", \"Wisconson\", \"Politics of Wisconsin\", \"Demographics of Wisconsin\", \"America's Dairyland\", \"Winconsin\", \"Religion in Wisconsin\", \"Transport in Wisconsin\", \"US-WI\", \"Wisconsin state\", \"Economy of Wisconsin\", \"The Badger State\", \"Wisconsin (state)\", \"Education in Wisconsin\", \"Geography of Wisconsin\", \"Wiskonsin\", \"Wisconsin (U.S. state)\", \"Thirtieth State\", \"Film industry in Wisconsin\", \"Wisc.\", \"Badger state\", \"Wisconsin, United States\"]",
"[\"Sam Mendes\", \"Samuel Alexander Mendes\", \"SAM MENDES\"]"
] |
[
"What is The United States leading dairy state",
"Who Directed the 'Oscar' winning film of 2000, 'American Beauty'?"
] | 2
|
[
41304,
41305
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What country was first to experience the Renaissance period in Europe?\nQuestion 2: Alfred Sisley was an exponent of which school of painting?",
"role": "user"
}
] |
["Environment of Italy", "Itali\u00ebn", "Subdivisions of Italy", "Republic of Italy", "ItalY", "ISO 3166-1:IT", "Etymology of Italy", "Itali", "Pollution in Italy", "Administrative divisions of Italy", "Austrian Empire (Italy)", "Italija", "Italie", "Italia", "Italian Republic", "Second Italian Republic", "Italy", "Italio", "Repubblica Italiana", "It\u00e0lia", "The Italian republic"]; ["Impressionism", "Impressionists", "IMPRESSIONISM", "Impressionism (painting)", "Impressionism (arts)", "Impressionistic", "Impressionisme", "French Impressionism", "French Impressionists", "French impressionism", "Impressionist art", "Impressionist", "Impressionism (art)", "The Impressionists", "Impressionism in art"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Environment of Italy\", \"Itali\\u00ebn\", \"Subdivisions of Italy\", \"Republic of Italy\", \"ItalY\", \"ISO 3166-1:IT\", \"Etymology of Italy\", \"Itali\", \"Pollution in Italy\", \"Administrative divisions of Italy\", \"Austrian Empire (Italy)\", \"Italija\", \"Italie\", \"Italia\", \"Italian Republic\", \"Second Italian Republic\", \"Italy\", \"Italio\", \"Repubblica Italiana\", \"It\\u00e0lia\", \"The Italian republic\"]",
"[\"Impressionism\", \"Impressionists\", \"IMPRESSIONISM\", \"Impressionism (painting)\", \"Impressionism (arts)\", \"Impressionistic\", \"Impressionisme\", \"French Impressionism\", \"French Impressionists\", \"French impressionism\", \"Impressionist art\", \"Impressionist\", \"Impressionism (art)\", \"The Impressionists\", \"Impressionism in art\"]"
] |
[
"What country was first to experience the Renaissance period in Europe?",
"Alfred Sisley was an exponent of which school of painting?"
] | 2
|
[
78888,
78889
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: In which country did the Tonton Macoute revolt against French rule?\nQuestion 2: In the UK, in which year did the Life Peerage Act entitled women to sit in the House of Lords for the first time?",
"role": "user"
}
] |
["Haitian Ancestry", "Ha\u00efti", "Name of Haiti", "Republic of haiti", "Haidi", "Subdivisions of Haiti", "ISO 3166-1:HT", "Administrative divisions of Haiti", "Republic of Haiti", "R\u00e9publique d'Ha\u00efti", "Arrondissements and communes of haiti", "Repiblik Ayiti", "History of Haitian Nationality", "Departements of Haiti", "People of Haiti", "Haiti", "Ayiti", "Hait\u00ed", "Hayti", "Haitian Declaration of Independence"]; ["1958", "one thousand, nine hundred and fifty-eight"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Haitian Ancestry\", \"Ha\\u00efti\", \"Name of Haiti\", \"Republic of haiti\", \"Haidi\", \"Subdivisions of Haiti\", \"ISO 3166-1:HT\", \"Administrative divisions of Haiti\", \"Republic of Haiti\", \"R\\u00e9publique d'Ha\\u00efti\", \"Arrondissements and communes of haiti\", \"Repiblik Ayiti\", \"History of Haitian Nationality\", \"Departements of Haiti\", \"People of Haiti\", \"Haiti\", \"Ayiti\", \"Hait\\u00ed\", \"Hayti\", \"Haitian Declaration of Independence\"]",
"[\"1958\", \"one thousand, nine hundred and fifty-eight\"]"
] |
[
"In which country did the Tonton Macoute revolt against French rule?",
"In the UK, in which year did the Life Peerage Act entitled women to sit in the House of Lords for the first time?"
] | 2
|
[
11872,
11873
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: How many years make up a vicennial period?\nQuestion 2: In which Kent castle did Ann Boleyn grow up?",
"role": "user"
}
] |
["twenty", "20"]; ["Hever Castle", "HEVER CASTLE"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"twenty\", \"20\"]",
"[\"Hever Castle\", \"HEVER CASTLE\"]"
] |
[
"How many years make up a vicennial period?",
"In which Kent castle did Ann Boleyn grow up?"
] | 2
|
[
127750,
127751
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What creature from Greek mythology has a single eye on the center of its forehead?\nQuestion 2: ‘Podshaving’ is the art of hand-making which piece of sports equipment?",
"role": "user"
}
] |
["Steropes", "Nohbudy", "Kyklopes", "Cyclop", "Biclops", "Stereopes", "Cyclopses", "Cyclops", "Kyklop\u00eas", "Kyklops"]; ["Mongoose bat", "Mongoose Cricket Bat", "Mongoose (cricket bat)", "Bat (cricket)", "Mongoose (bat)", "Podshaving", "Mongoose cricket bat", "Cricket bats", "Traditional Indian cricket bat", "Cricket Bat industry of India", "Cricket Bat", "Cricket bat", "Cricket bat industry of India"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Steropes\", \"Nohbudy\", \"Kyklopes\", \"Cyclop\", \"Biclops\", \"Stereopes\", \"Cyclopses\", \"Cyclops\", \"Kyklop\\u00eas\", \"Kyklops\"]",
"[\"Mongoose bat\", \"Mongoose Cricket Bat\", \"Mongoose (cricket bat)\", \"Bat (cricket)\", \"Mongoose (bat)\", \"Podshaving\", \"Mongoose cricket bat\", \"Cricket bats\", \"Traditional Indian cricket bat\", \"Cricket Bat industry of India\", \"Cricket Bat\", \"Cricket bat\", \"Cricket bat industry of India\"]"
] |
[
"What creature from Greek mythology has a single eye on the center of its forehead?",
"‘Podshaving’ is the art of hand-making which piece of sports equipment?"
] | 2
|
[
46050,
46051
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: In which country was the first Women's Institute founded in 1897?\nQuestion 2: Who was the principal female figure in the scandal that became known as ‘Zippergate’?",
"role": "user"
}
] |
["Canada", "Canad\u00e1", "The Dominion of Canada", "Commonwealth of Canada", "Dominion of canada", "ISO 3166-1:CA", "Etymology of Canada", "CANADA", "Canadiophile", "Canada's", "\u1472\u14c7\u1455", "Canada/References", "America's top hat", "Canada.", "Cnada", "\u010canada", "Canadian Federation", "Kenadian", "Canadialand", "Xanada", "Dominion of Canada", "Canadaa"]; ["Clinton/Lewinsky scandals", "Monica S. Lewinsky", "Monaka Lewinsky", "Monica Lewinski", "Marcia Kay Vilensky", "Monica S Lewinsky", "Lewinsky", "Andy Bleiler", "Monica Lewinsky", "Monica Samille Lewinsky", "Monaca Lewinsky", "Monica lewinsky"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Canada\", \"Canad\\u00e1\", \"The Dominion of Canada\", \"Commonwealth of Canada\", \"Dominion of canada\", \"ISO 3166-1:CA\", \"Etymology of Canada\", \"CANADA\", \"Canadiophile\", \"Canada's\", \"\\u1472\\u14c7\\u1455\", \"Canada/References\", \"America's top hat\", \"Canada.\", \"Cnada\", \"\\u010canada\", \"Canadian Federation\", \"Kenadian\", \"Canadialand\", \"Xanada\", \"Dominion of Canada\", \"Canadaa\"]",
"[\"Clinton/Lewinsky scandals\", \"Monica S. Lewinsky\", \"Monaka Lewinsky\", \"Monica Lewinski\", \"Marcia Kay Vilensky\", \"Monica S Lewinsky\", \"Lewinsky\", \"Andy Bleiler\", \"Monica Lewinsky\", \"Monica Samille Lewinsky\", \"Monaca Lewinsky\", \"Monica lewinsky\"]"
] |
[
"In which country was the first Women's Institute founded in 1897?",
"Who was the principal female figure in the scandal that became known as ‘Zippergate’?"
] | 2
|
[
109624,
109625
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Before he became Archbishop of Canterbury, Rowan Williams was bishop of which see between 1991 and 2002?\nQuestion 2: Of which sport is F.I.A. the ruling body?",
"role": "user"
}
] |
["Monmouth, Wales", "Trefynwy", "Monmouth"]; ["Motor-racing", "Auto sport", "Motor-sports", "Motorsport Engineering", "Motorsport", "Motor sport", "Motor Racing", "Motorsport engineering", "Motorsports", "Motosport", "Arena racing", "Motor racing", "Motor race", "Motor sports", "Motor Sport"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Monmouth, Wales\", \"Trefynwy\", \"Monmouth\"]",
"[\"Motor-racing\", \"Auto sport\", \"Motor-sports\", \"Motorsport Engineering\", \"Motorsport\", \"Motor sport\", \"Motor Racing\", \"Motorsport engineering\", \"Motorsports\", \"Motosport\", \"Arena racing\", \"Motor racing\", \"Motor race\", \"Motor sports\", \"Motor Sport\"]"
] |
[
"Before he became Archbishop of Canterbury, Rowan Williams was bishop of which see between 1991 and 2002?",
"Of which sport is F.I.A. the ruling body?"
] | 2
|
[
63108,
63109
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Which sunken ship lies on the floor of Pearl Harbour as a memorial to those killed in the attack of 7 December 1941?\nQuestion 2: In 1967, which airline became the first all-jet airline",
"role": "user"
}
] |
["Uss arizona", "U.S.S. Arizona", "USS Arizona"]; ["T.W.A", "%22The Airline Run by Flyers%22", "Transcontinental and Western", "Karabu", "Transcontinental & Western Air", "Transworld Airlines", "Trans World Airlines", "Transcontinental and Western Air, Inc.", "Trans World Airlines, Inc.", "T&WA", "Trans-World Airlines", "TWA", "Transcontinental and Western Air", "The Airline Run by Flyers", "Trans World Airlines Inc.", "TWA Airlines", "T.W.A.", "Transcontinental & Western Air, Inc.", "Trans WorldAirlines, Inc.", "TWA Airlines LLC", "Try Walking Airlines"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Uss arizona\", \"U.S.S. Arizona\", \"USS Arizona\"]",
"[\"T.W.A\", \"%22The Airline Run by Flyers%22\", \"Transcontinental and Western\", \"Karabu\", \"Transcontinental & Western Air\", \"Transworld Airlines\", \"Trans World Airlines\", \"Transcontinental and Western Air, Inc.\", \"Trans World Airlines, Inc.\", \"T&WA\", \"Trans-World Airlines\", \"TWA\", \"Transcontinental and Western Air\", \"The Airline Run by Flyers\", \"Trans World Airlines Inc.\", \"TWA Airlines\", \"T.W.A.\", \"Transcontinental & Western Air, Inc.\", \"Trans WorldAirlines, Inc.\", \"TWA Airlines LLC\", \"Try Walking Airlines\"]"
] |
[
"Which sunken ship lies on the floor of Pearl Harbour as a memorial to those killed in the attack of 7 December 1941?",
"In 1967, which airline became the first all-jet airline"
] | 2
|
[
119180,
119181
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What was Melanie Brown's nickname when she was in the Spice Girls?\nQuestion 2: After the Latin name for which modern European capital is the element Lutetium named?",
"role": "user"
}
] |
["Scary", "Screy", "Scary (disambiguation)"]; ["Pa\u0159\u00ed\u017e", "FRPAR", "Paris", "Name of paris and its inhabitants", "Paname", "Paris France", "Ville Lumi\u00e8re", "Leucetia", "Rue de M\u00e9nilmontant", "Paris agglomeration", "France Paris", "Sports in Paris", "Departement de Paris", "Paris, Ile-De-France", "Rue de Menilmontant", "UN/LOCODE:FRPAR", "Pa\u0159\u00ed\u017ei", "Ville Lumiere", "Paris, France", "Paris, \u00cele-de-France", "Paris, \u00cele-de-France, France", "Parijs", "Parisien", "Cuisine of Paris", "Suburbs of Paris", "Sport in Paris", "The weather in Paris", "Parisian (person)", "Parizi", "Par\u00eds", "Name of Paris and its inhabitants", "Paree", "Paris, Europe", "Paris, Banks of the Seine", "Paris (etymology)", "Paris (France)", "The City of Love (city)", "D\u00e9partement de Paris"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Scary\", \"Screy\", \"Scary (disambiguation)\"]",
"[\"Pa\\u0159\\u00ed\\u017e\", \"FRPAR\", \"Paris\", \"Name of paris and its inhabitants\", \"Paname\", \"Paris France\", \"Ville Lumi\\u00e8re\", \"Leucetia\", \"Rue de M\\u00e9nilmontant\", \"Paris agglomeration\", \"France Paris\", \"Sports in Paris\", \"Departement de Paris\", \"Paris, Ile-De-France\", \"Rue de Menilmontant\", \"UN/LOCODE:FRPAR\", \"Pa\\u0159\\u00ed\\u017ei\", \"Ville Lumiere\", \"Paris, France\", \"Paris, \\u00cele-de-France\", \"Paris, \\u00cele-de-France, France\", \"Parijs\", \"Parisien\", \"Cuisine of Paris\", \"Suburbs of Paris\", \"Sport in Paris\", \"The weather in Paris\", \"Parisian (person)\", \"Parizi\", \"Par\\u00eds\", \"Name of Paris and its inhabitants\", \"Paree\", \"Paris, Europe\", \"Paris, Banks of the Seine\", \"Paris (etymology)\", \"Paris (France)\", \"The City of Love (city)\", \"D\\u00e9partement de Paris\"]"
] |
[
"What was Melanie Brown's nickname when she was in the Spice Girls?",
"After the Latin name for which modern European capital is the element Lutetium named?"
] | 2
|
[
117036,
117037
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Britannia female embodiment of Britain who is the French?\nQuestion 2: What is the rank of a British Army officer who wears a crown and two pips on his epaulettes?",
"role": "user"
}
] |
["Marianne"]; ["Colonel (Australia)", "Colonel", "Colonelcy", "Col.", "Colonels", "Cnel", "Coronel (rank)", "Acting Colonel", "Colenel"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Marianne\"]",
"[\"Colonel (Australia)\", \"Colonel\", \"Colonelcy\", \"Col.\", \"Colonels\", \"Cnel\", \"Coronel (rank)\", \"Acting Colonel\", \"Colenel\"]"
] |
[
"Britannia female embodiment of Britain who is the French?",
"What is the rank of a British Army officer who wears a crown and two pips on his epaulettes?"
] | 2
|
[
48078,
48079
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: During which year were escalators installed in the Empire State Building in New York?\nQuestion 2: Which is the largest type of kangaroo?",
"role": "user"
}
] |
["1964", "one thousand, nine hundred and sixty-four"]; ["Red Kangaroo", "Red kangaroo", "Macropus rufus", "Red kangeroo", "Red Roo", "Red kangaroos"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"1964\", \"one thousand, nine hundred and sixty-four\"]",
"[\"Red Kangaroo\", \"Red kangaroo\", \"Macropus rufus\", \"Red kangeroo\", \"Red Roo\", \"Red kangaroos\"]"
] |
[
"During which year were escalators installed in the Empire State Building in New York?",
"Which is the largest type of kangaroo?"
] | 2
|
[
8014,
8015
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What was Britain's first designated New Town, established by the New Towns Act 1945?\nQuestion 2: Eastleigh Airport serves which English town",
"role": "user"
}
] |
["Shephalbury Park Primary School", "Borough of Stevenage", "Stevenage Urban District", "Stevenage, England", "Silkingrad", "Ashtree primary school", "Bedwell, Hertfordshire", "Queensway Stevenage", "The weather in Stevenage", "Roaring Meg (Stevenage)", "Shephall", "Queensway (Stevenage)", "Chells", "Trotts Hill school", "Stevenage", "Ashtree Primary School", "Broadwater, Hertfordshire"]; ["Southampton", "Southhampton, England", "Sotonian", "Southhampton", "Southampton, U.K.", "Southampton (city)", "Southampton, Hampshire", "Soton", "Southampton UA", "Southampton Corporation", "So'ton", "Southampton (district)", "County Borough of Southampton", "Southampton Council", "City of Southampton", "UN/LOCODE:GBSOU", "Southampton, England", "The weather in Southampton"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Shephalbury Park Primary School\", \"Borough of Stevenage\", \"Stevenage Urban District\", \"Stevenage, England\", \"Silkingrad\", \"Ashtree primary school\", \"Bedwell, Hertfordshire\", \"Queensway Stevenage\", \"The weather in Stevenage\", \"Roaring Meg (Stevenage)\", \"Shephall\", \"Queensway (Stevenage)\", \"Chells\", \"Trotts Hill school\", \"Stevenage\", \"Ashtree Primary School\", \"Broadwater, Hertfordshire\"]",
"[\"Southampton\", \"Southhampton, England\", \"Sotonian\", \"Southhampton\", \"Southampton, U.K.\", \"Southampton (city)\", \"Southampton, Hampshire\", \"Soton\", \"Southampton UA\", \"Southampton Corporation\", \"So'ton\", \"Southampton (district)\", \"County Borough of Southampton\", \"Southampton Council\", \"City of Southampton\", \"UN/LOCODE:GBSOU\", \"Southampton, England\", \"The weather in Southampton\"]"
] |
[
"What was Britain's first designated New Town, established by the New Towns Act 1945?",
"Eastleigh Airport serves which English town"
] | 2
|
[
89816,
89817
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What instrument consisting basically of a telescope that can be rotated vertically and horizontally on graduated scales was designed for use in land surveying for measuring by triangulation ?\nQuestion 2: In the House of Commons, which word of three letters is used by members supporting a motion vote?",
"role": "user"
}
] |
["Transit (surveying)", "Theodolites", "Theodolite"]; ["AYE", "Keppel Viaduct", "Ayer Rajah Expressway"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Transit (surveying)\", \"Theodolites\", \"Theodolite\"]",
"[\"AYE\", \"Keppel Viaduct\", \"Ayer Rajah Expressway\"]"
] |
[
"What instrument consisting basically of a telescope that can be rotated vertically and horizontally on graduated scales was designed for use in land surveying for measuring by triangulation ?",
"In the House of Commons, which word of three letters is used by members supporting a motion vote?"
] | 2
|
[
65158,
65159
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Odense and Aarhus are major cities in which European country?\nQuestion 2: There are three types of muscle in the human body: Skeletal, Smooth and which other?",
"role": "user"
}
] |
["Eastern Denmark", "Kingdom of denmark", "Denmarke", "Subdivisions of Denmark", "Kongeriget Danmark", "Mainland Denmark", "Danmoerk", "Denmark proper", "Danimarca", "ISO 3166-1:DK", "Denmark", "D\u00e4nemark", "Danska", "Denmarc", "KingdomOfDenmark", "DENMARK", "Kingdom of Denmark", "Denemarke", "Administrative divisions of denmark", "Danish kingdom", "Danemark", "Daenemark", "Media in Denmark", "Danm\u00f6rk", "DenmarK", "Danmork", "Administrative divisions of Denmark", "Media of Denmark", "Danish Kingdom", "Dinamarca"]; ["Four chambered heart", "Atria of the heart", "Cardiac chambers", "Left heart", "Sternocostal surface of heart", "Heart", "Cardiogenic", "Cardiac chamber", "\u2764\ufe0f", "Heart chambers", "Heart (anatomy)", "Sternocostal surface", "Base of heart", "Anterior surface of the heart", "Base of the heart", "Facies cordis", "Heart in literature", "The heart", "Systemic heart", "Heart Symbolism and Metaphor", "Heart (symbolism)", "Cardiac", "Facies diaphragmatica cordis", "The human heart", "Basis cordis", "Chambers of the heart", "Heart chamber", "Heart (Symbolism and Metaphor)", "Left side of the heart", "Right heart", "Heart (biology)", "Diaphragmatic surface of heart", "Dorsal tube", "Apex cordis", "Heart (metaphor)", "Facies anterior cordis", "Human heart", "Heart (food)", "Anterior wall of heart", "Apex of heart", "Right side of the heart", "Heart (organ)", "Atlas of Human Cardiac Anatomy", "Facies sternocostalis cordis"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Eastern Denmark\", \"Kingdom of denmark\", \"Denmarke\", \"Subdivisions of Denmark\", \"Kongeriget Danmark\", \"Mainland Denmark\", \"Danmoerk\", \"Denmark proper\", \"Danimarca\", \"ISO 3166-1:DK\", \"Denmark\", \"D\\u00e4nemark\", \"Danska\", \"Denmarc\", \"KingdomOfDenmark\", \"DENMARK\", \"Kingdom of Denmark\", \"Denemarke\", \"Administrative divisions of denmark\", \"Danish kingdom\", \"Danemark\", \"Daenemark\", \"Media in Denmark\", \"Danm\\u00f6rk\", \"DenmarK\", \"Danmork\", \"Administrative divisions of Denmark\", \"Media of Denmark\", \"Danish Kingdom\", \"Dinamarca\"]",
"[\"Four chambered heart\", \"Atria of the heart\", \"Cardiac chambers\", \"Left heart\", \"Sternocostal surface of heart\", \"Heart\", \"Cardiogenic\", \"Cardiac chamber\", \"\\u2764\\ufe0f\", \"Heart chambers\", \"Heart (anatomy)\", \"Sternocostal surface\", \"Base of heart\", \"Anterior surface of the heart\", \"Base of the heart\", \"Facies cordis\", \"Heart in literature\", \"The heart\", \"Systemic heart\", \"Heart Symbolism and Metaphor\", \"Heart (symbolism)\", \"Cardiac\", \"Facies diaphragmatica cordis\", \"The human heart\", \"Basis cordis\", \"Chambers of the heart\", \"Heart chamber\", \"Heart (Symbolism and Metaphor)\", \"Left side of the heart\", \"Right heart\", \"Heart (biology)\", \"Diaphragmatic surface of heart\", \"Dorsal tube\", \"Apex cordis\", \"Heart (metaphor)\", \"Facies anterior cordis\", \"Human heart\", \"Heart (food)\", \"Anterior wall of heart\", \"Apex of heart\", \"Right side of the heart\", \"Heart (organ)\", \"Atlas of Human Cardiac Anatomy\", \"Facies sternocostalis cordis\"]"
] |
[
"Odense and Aarhus are major cities in which European country?",
"There are three types of muscle in the human body: Skeletal, Smooth and which other?"
] | 2
|
[
125514,
125515
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Which Frenchman was the first to navigate the St Lawrence River in Canada in 1535?\nQuestion 2: The ‘tea house’ Mellow Yellow opened in which European city in 1972, pioneering the legal sale of cannabis?",
"role": "user"
}
] |
["Jacques cartier", "Petite Hermine", "Jacques Cartier", "Jaques Cartier"]; ["Classis of Amsterdam", "Capital of Holland", "Amsterdam, Holland", "UN/LOCODE:NLAMS", "NLAMS", "Amsterdam (Netherlands)", "Geography of Amsterdam", "Amesterdam", "Amsterdam, North Holland", "Capitals of the Netherlands", "Amsterdam", "Amsterdam, Noord Holland", "\u00c1msterdam", "Amsterdam, The Netherlands", "Amsterdam, Netherlands", "Ampsterdam"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Jacques cartier\", \"Petite Hermine\", \"Jacques Cartier\", \"Jaques Cartier\"]",
"[\"Classis of Amsterdam\", \"Capital of Holland\", \"Amsterdam, Holland\", \"UN/LOCODE:NLAMS\", \"NLAMS\", \"Amsterdam (Netherlands)\", \"Geography of Amsterdam\", \"Amesterdam\", \"Amsterdam, North Holland\", \"Capitals of the Netherlands\", \"Amsterdam\", \"Amsterdam, Noord Holland\", \"\\u00c1msterdam\", \"Amsterdam, The Netherlands\", \"Amsterdam, Netherlands\", \"Ampsterdam\"]"
] |
[
"Which Frenchman was the first to navigate the St Lawrence River in Canada in 1535?",
"The ‘tea house’ Mellow Yellow opened in which European city in 1972, pioneering the legal sale of cannabis?"
] | 2
|
[
136196,
136197
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Which alloy is created using copper and tin?\nQuestion 2: Which large flightless bird, of the genus Pinguinis, was hunted to extinction in 1844?",
"role": "user"
}
] |
["Bronze (disambiguation)", "The Bronze", "BRONZE"]; ["Great auk", "Alca impennis", "Plautus impennis", "Gare-fowl", "Mataeoptera impennis", "Chenalopex", "Pinguinus impennis", "Great auks", "Gejrfugl", "Great Auk", "Pinguinus", "Alca major", "Garefowl", "Great Auks", "The Great Auk", "GREAT AUK", "Pingouin impennis", "Pinguinus alfrednewtoni", "Chenalopex impennis", "Mataeoptera", "Gairfowl"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Bronze (disambiguation)\", \"The Bronze\", \"BRONZE\"]",
"[\"Great auk\", \"Alca impennis\", \"Plautus impennis\", \"Gare-fowl\", \"Mataeoptera impennis\", \"Chenalopex\", \"Pinguinus impennis\", \"Great auks\", \"Gejrfugl\", \"Great Auk\", \"Pinguinus\", \"Alca major\", \"Garefowl\", \"Great Auks\", \"The Great Auk\", \"GREAT AUK\", \"Pingouin impennis\", \"Pinguinus alfrednewtoni\", \"Chenalopex impennis\", \"Mataeoptera\", \"Gairfowl\"]"
] |
[
"Which alloy is created using copper and tin?",
"Which large flightless bird, of the genus Pinguinis, was hunted to extinction in 1844?"
] | 2
|
[
96534,
96535
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Who was the hero of a number of tall stories by Rudolph Erich Raspe, published in 1785?\nQuestion 2: Which bridge in London was dubbed the ‘Wobbly Bridge’?",
"role": "user"
}
] |
["Baron Muenchausen", "Baron von Munchausen", "Karl Friedrich Hieronymus, Baron von Muenchhausen", "Karl Friedrich Hieronymus Freiherr von Munchhausen", "Karl Friedrich Hieronymus Freiherr von M\u00fcnchhausen", "Munjasan Kathakal", "Baron Munchhausen", "Hieronymous Munchausen", "Munchhausen, Karl Friedrich Hieronymus, Freiherr von", "Baron von M\u00fcnchhausen", "Baron von Muenchhausen", "Karl Friedrich Hieronymus, Freiherr von M\u00fcnchhausen", "Muenchhausen, Karl Friedrich Hieronymus, Freiherr von", "Hieronymous Karl Friedrich von Munchausen", "Baron Muenchhausen", "Baron Munchausen", "Hieronymus Carl Friedrich von M\u00fcnchhausen", "Baron M\u00fcnchhausen", "M\u00fcnchhausen, Karl Friedrich Hieronymus, Freiherr von", "Karl Friedrich Hieronymus, Baron von Munchhausen", "Karl Friedrich Hieronymus, Freiherr von Munchhausen", "Baron M\u00fcnchausen", "Hieronymus Karl Friedrich, Freiherr von M\u00fcnchhausen", "Munchasan Kathakal", "Karl Friedrich Hieronymus, Freiherr von Muenchhausen", "Baron Von Munchausen", "Baron von Munchhausen", "Karl Friedrich Hieronymus, Baron von M\u00fcnchhausen", "Karl Friedrich Hieronymus von Munchhausen", "Karl Friedrich Hieronymus Freiherr von Muenchhausen", "Hieronymus Karl Friedrich von M\u00fcnchhausen"]; ["Millenium Bridge", "Millenium bridge", "Millennium Bridge", "Millennium Bridge (disambiguation)", "The Millennium Bridge", "Millennium bridge"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Baron Muenchausen\", \"Baron von Munchausen\", \"Karl Friedrich Hieronymus, Baron von Muenchhausen\", \"Karl Friedrich Hieronymus Freiherr von Munchhausen\", \"Karl Friedrich Hieronymus Freiherr von M\\u00fcnchhausen\", \"Munjasan Kathakal\", \"Baron Munchhausen\", \"Hieronymous Munchausen\", \"Munchhausen, Karl Friedrich Hieronymus, Freiherr von\", \"Baron von M\\u00fcnchhausen\", \"Baron von Muenchhausen\", \"Karl Friedrich Hieronymus, Freiherr von M\\u00fcnchhausen\", \"Muenchhausen, Karl Friedrich Hieronymus, Freiherr von\", \"Hieronymous Karl Friedrich von Munchausen\", \"Baron Muenchhausen\", \"Baron Munchausen\", \"Hieronymus Carl Friedrich von M\\u00fcnchhausen\", \"Baron M\\u00fcnchhausen\", \"M\\u00fcnchhausen, Karl Friedrich Hieronymus, Freiherr von\", \"Karl Friedrich Hieronymus, Baron von Munchhausen\", \"Karl Friedrich Hieronymus, Freiherr von Munchhausen\", \"Baron M\\u00fcnchausen\", \"Hieronymus Karl Friedrich, Freiherr von M\\u00fcnchhausen\", \"Munchasan Kathakal\", \"Karl Friedrich Hieronymus, Freiherr von Muenchhausen\", \"Baron Von Munchausen\", \"Baron von Munchhausen\", \"Karl Friedrich Hieronymus, Baron von M\\u00fcnchhausen\", \"Karl Friedrich Hieronymus von Munchhausen\", \"Karl Friedrich Hieronymus Freiherr von Muenchhausen\", \"Hieronymus Karl Friedrich von M\\u00fcnchhausen\"]",
"[\"Millenium Bridge\", \"Millenium bridge\", \"Millennium Bridge\", \"Millennium Bridge (disambiguation)\", \"The Millennium Bridge\", \"Millennium bridge\"]"
] |
[
"Who was the hero of a number of tall stories by Rudolph Erich Raspe, published in 1785?",
"Which bridge in London was dubbed the ‘Wobbly Bridge’?"
] | 2
|
[
132250,
132251
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Oct 6, 1969 saw the introduction of what BBC show, generally regarded as one of the funniest tv series ever?\nQuestion 2: What is a young pilchard called?",
"role": "user"
}
] |
["Samuel Brainsample", "Bunn, Whacket, Buzzard, Stubble, and Boot", "Hell's Grannies", "Raymond Luxury-Yacht", "Monty Python's Flying Circus (computer game)", "Monty Python's Flying Circus (stage version)", "\u201cIt\u2019s\u201d man", "Owl Stretching Time", "Throatwobbler Mangrove", "MPFC", "Luigi Vercotti", "Monty Python\u2019s Flying Circus", "Montey python", "It's man", "Monty Pythons Flying Circus", "A Horse, a Spoon, and a Basin", "Gwen Dibley", "Throatwobbler mangrove", "Raymond Luxury Yacht", "%22It\u2019s%22 man", "Monty Python's Flying Circus", "Pythonite", "%22It's%22 man", "Hell's grannies", "Its man", "The Toad Elevating Moment", "Gwen Dibley's Flying Circus", "Colin Plint"]; ["Pilchard", "Sardine", "Pilchards", "Sardines", "Cornish sardine", "Chalai", "Iwashi no agemono", "Sardine can", "Chirimen jako"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Samuel Brainsample\", \"Bunn, Whacket, Buzzard, Stubble, and Boot\", \"Hell's Grannies\", \"Raymond Luxury-Yacht\", \"Monty Python's Flying Circus (computer game)\", \"Monty Python's Flying Circus (stage version)\", \"\\u201cIt\\u2019s\\u201d man\", \"Owl Stretching Time\", \"Throatwobbler Mangrove\", \"MPFC\", \"Luigi Vercotti\", \"Monty Python\\u2019s Flying Circus\", \"Montey python\", \"It's man\", \"Monty Pythons Flying Circus\", \"A Horse, a Spoon, and a Basin\", \"Gwen Dibley\", \"Throatwobbler mangrove\", \"Raymond Luxury Yacht\", \"%22It\\u2019s%22 man\", \"Monty Python's Flying Circus\", \"Pythonite\", \"%22It's%22 man\", \"Hell's grannies\", \"Its man\", \"The Toad Elevating Moment\", \"Gwen Dibley's Flying Circus\", \"Colin Plint\"]",
"[\"Pilchard\", \"Sardine\", \"Pilchards\", \"Sardines\", \"Cornish sardine\", \"Chalai\", \"Iwashi no agemono\", \"Sardine can\", \"Chirimen jako\"]"
] |
[
"Oct 6, 1969 saw the introduction of what BBC show, generally regarded as one of the funniest tv series ever?",
"What is a young pilchard called?"
] | 2
|
[
30958,
30959
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: In science, a pascal is a measure of what?\nQuestion 2: After which explorer is the international airport at Venice named?",
"role": "user"
}
] |
["Manometric unit", "Absolute Pressure", "Pressures", "Feet sea water", "Explosion pressure", "Mm H2O", "Fluids and pressure", "Negative pressure (disambiguation)", "Cm H2O", "Pressure", "Liquid pressure", "Fluid pressure", "Deflagration pressure", "Pressure units", "Kinematic pressure", "CmHg", "Relative pressure", "Negative pressure", "Scientific physical pressure", "Water pressure", "Units of pressure", "Manometric pressure unit", "Pressure (physics)", "Unit of pressure", "Gauge Pressure"]; ["Marcus Pol", "Macro Polo", "Marco Pollo", "Marco Polo", "Polo, Marco", "MARCO POLO", "Marco polo", "Marko Pilic", "Marco Polo's birthplace", "Marko Pili\u0107"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Manometric unit\", \"Absolute Pressure\", \"Pressures\", \"Feet sea water\", \"Explosion pressure\", \"Mm H2O\", \"Fluids and pressure\", \"Negative pressure (disambiguation)\", \"Cm H2O\", \"Pressure\", \"Liquid pressure\", \"Fluid pressure\", \"Deflagration pressure\", \"Pressure units\", \"Kinematic pressure\", \"CmHg\", \"Relative pressure\", \"Negative pressure\", \"Scientific physical pressure\", \"Water pressure\", \"Units of pressure\", \"Manometric pressure unit\", \"Pressure (physics)\", \"Unit of pressure\", \"Gauge Pressure\"]",
"[\"Marcus Pol\", \"Macro Polo\", \"Marco Pollo\", \"Marco Polo\", \"Polo, Marco\", \"MARCO POLO\", \"Marco polo\", \"Marko Pilic\", \"Marco Polo's birthplace\", \"Marko Pili\\u0107\"]"
] |
[
"In science, a pascal is a measure of what?",
"After which explorer is the international airport at Venice named?"
] | 2
|
[
21892,
21893
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: How many finger holes does a penny whistle have?\nQuestion 2: In which city would you find 'Commissioner Gordon' and 'Chief O'Hara'?",
"role": "user"
}
] |
["Six", "six", "6"]; ["Gotham City, New Jersey", "'GOTHAM CITY'", "Gotham city", "Gotham City, NJ", "Architecture of Gotham City", "Wayne Tower", "Gotham City", "Crime Alley", "Gotham City (comics)", "Notable areas, landmarks, institutions and businesses of Gotham City", "Gotham (comics)", "Mayor Grange", "Ciudad G\u00f3tica", "Gotham skyline"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Six\", \"six\", \"6\"]",
"[\"Gotham City, New Jersey\", \"'GOTHAM CITY'\", \"Gotham city\", \"Gotham City, NJ\", \"Architecture of Gotham City\", \"Wayne Tower\", \"Gotham City\", \"Crime Alley\", \"Gotham City (comics)\", \"Notable areas, landmarks, institutions and businesses of Gotham City\", \"Gotham (comics)\", \"Mayor Grange\", \"Ciudad G\\u00f3tica\", \"Gotham skyline\"]"
] |
[
"How many finger holes does a penny whistle have?",
"In which city would you find 'Commissioner Gordon' and 'Chief O'Hara'?"
] | 2
|
[
33780,
33781
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What song was written and performed by Billy Joel to underscore the plight of fishermen on Long Island?\nQuestion 2: In which castle did Edward II receive his final and fatal treatment?",
"role": "user"
}
] |
["The Downeaster Alexa", "The Downeaster 'Alexa", "The Downeaster 'Alexa'", "\"\"\"The Downeaster Alexa\"\"\"", "Downeaster Alexa"]; ["Berkley Castle", "Berkeley Castle"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"The Downeaster Alexa\", \"The Downeaster 'Alexa\", \"The Downeaster 'Alexa'\", \"\\\"\\\"\\\"The Downeaster Alexa\\\"\\\"\\\"\", \"Downeaster Alexa\"]",
"[\"Berkley Castle\", \"Berkeley Castle\"]"
] |
[
"What song was written and performed by Billy Joel to underscore the plight of fishermen on Long Island?",
"In which castle did Edward II receive his final and fatal treatment?"
] | 2
|
[
63394,
63395
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: In which African country is Lake Turkana?\nQuestion 2: Which British broadcaster and OBE departed on the 21st, aged 87?",
"role": "user"
}
] |
["Kenyan", "Prehistory of Kenya", "Kenya-Africa", "ISO 3166-1:KE", "Jamhuri ya Kenya", "Kenya", "Republic of Kenya", "Kenya (disambiguation)", "Etymology of Kenya"]; ["DAVID COLEMAN", "David Coleman"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Kenyan\", \"Prehistory of Kenya\", \"Kenya-Africa\", \"ISO 3166-1:KE\", \"Jamhuri ya Kenya\", \"Kenya\", \"Republic of Kenya\", \"Kenya (disambiguation)\", \"Etymology of Kenya\"]",
"[\"DAVID COLEMAN\", \"David Coleman\"]"
] |
[
"In which African country is Lake Turkana?",
"Which British broadcaster and OBE departed on the 21st, aged 87?"
] | 2
|
[
53386,
53387
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Whose voice was used for the character 'Lord Farquaad' in the film 'Shrek'?\nQuestion 2: Gertrude Ederle in August 1926 was the first woman to do what?",
"role": "user"
}
] |
["John Arthur Lithgow", "John lithgow", "JOHN LITHGOW", "John Lithgow"]; ["Swim the Channel"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"John Arthur Lithgow\", \"John lithgow\", \"JOHN LITHGOW\", \"John Lithgow\"]",
"[\"Swim the Channel\"]"
] |
[
"Whose voice was used for the character 'Lord Farquaad' in the film 'Shrek'?",
"Gertrude Ederle in August 1926 was the first woman to do what?"
] | 2
|
[
85922,
85923
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Which famous archipelago comprises eight major islands including Maui, Oahu, Kauai, and Molokai?\nQuestion 2: Of what are you afraid if you suffer from hydrophobia?",
"role": "user"
}
] |
["Hawaiian ridge", "Hawaiian archipelago", "Hawaiian island", "Geology of Hawaii", "Geography of Hawai\u02bbi", "Hawai'ian Islands", "Hawaii Islands", "The Hawaiian Islands", "The Hawaii Islands", "Hawaiian islands", "Hawaiian Windward Islands", "Southeastern Hawaiian Islands", "Hawaiian chain", "Hawaiian Islands", "Hawai\u02bbian Islands", "Mokupuni o Hawai\u2018i", "Hawai%60ian Islands", "Hawaiian Archipelago"]; ["Watery", "Water surface", "H\u2082O", "Water in biology", "Importance of water", "Water", "H2o", "Life and water", "Liquid water", "Water and life"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Hawaiian ridge\", \"Hawaiian archipelago\", \"Hawaiian island\", \"Geology of Hawaii\", \"Geography of Hawai\\u02bbi\", \"Hawai'ian Islands\", \"Hawaii Islands\", \"The Hawaiian Islands\", \"The Hawaii Islands\", \"Hawaiian islands\", \"Hawaiian Windward Islands\", \"Southeastern Hawaiian Islands\", \"Hawaiian chain\", \"Hawaiian Islands\", \"Hawai\\u02bbian Islands\", \"Mokupuni o Hawai\\u2018i\", \"Hawai%60ian Islands\", \"Hawaiian Archipelago\"]",
"[\"Watery\", \"Water surface\", \"H\\u2082O\", \"Water in biology\", \"Importance of water\", \"Water\", \"H2o\", \"Life and water\", \"Liquid water\", \"Water and life\"]"
] |
[
"Which famous archipelago comprises eight major islands including Maui, Oahu, Kauai, and Molokai?",
"Of what are you afraid if you suffer from hydrophobia?"
] | 2
|
[
27682,
27683
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Which former Welsh boxing championwas known as 'The ghost with the hammer in his hand'?\nQuestion 2: Who replaced Tommy Docherty as Manchester United's manager",
"role": "user"
}
] |
["Jimmy Wilde", "JIMMY WILDE"]; ["David Sexton", "Dave Sexton"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Jimmy Wilde\", \"JIMMY WILDE\"]",
"[\"David Sexton\", \"Dave Sexton\"]"
] |
[
"Which former Welsh boxing championwas known as 'The ghost with the hammer in his hand'?",
"Who replaced Tommy Docherty as Manchester United's manager"
] | 2
|
[
39830,
39831
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: This word means 'to make a flippant or humorous remark about a serious subject?\nQuestion 2: Which nine letter word, taken from the Aboriginal language is used by Australians for an oxbow lake or stagnant pond?",
"role": "user"
}
] |
["Funny", "Humor", "Nerd humour", "Hilarious", "Humor (funny)", "Humour sense", "Sense of humour", "Hillarious", "Facetious", "Hilarity", "Sense of humor", "Funny jokes", "Sense of Humour", "Hilariously", "Humoristic", "Funniness", "Humour", "Humorous", "Humor studies", "Humourous", "Comedy technique", "Humor temp2", "Facetiously", "Facetiousness"]; ["Bilabong", "BILLABONG", "Billabong", "Billabong (hydrography)"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Funny\", \"Humor\", \"Nerd humour\", \"Hilarious\", \"Humor (funny)\", \"Humour sense\", \"Sense of humour\", \"Hillarious\", \"Facetious\", \"Hilarity\", \"Sense of humor\", \"Funny jokes\", \"Sense of Humour\", \"Hilariously\", \"Humoristic\", \"Funniness\", \"Humour\", \"Humorous\", \"Humor studies\", \"Humourous\", \"Comedy technique\", \"Humor temp2\", \"Facetiously\", \"Facetiousness\"]",
"[\"Bilabong\", \"BILLABONG\", \"Billabong\", \"Billabong (hydrography)\"]"
] |
[
"This word means 'to make a flippant or humorous remark about a serious subject?",
"Which nine letter word, taken from the Aboriginal language is used by Australians for an oxbow lake or stagnant pond?"
] | 2
|
[
64712,
64713
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Of which Italian region is Genoa the capital?\nQuestion 2: Rhinology is the study of which part of the human body?",
"role": "user"
}
] |
["Ligury", "Regio IX Liguria", "Liguria", "Liguria, Italy"]; ["Noses", "Schnoz", "Nose", "Schnozzle", "Schnozz", "Smeller"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Ligury\", \"Regio IX Liguria\", \"Liguria\", \"Liguria, Italy\"]",
"[\"Noses\", \"Schnoz\", \"Nose\", \"Schnozzle\", \"Schnozz\", \"Smeller\"]"
] |
[
"Of which Italian region is Genoa the capital?",
"Rhinology is the study of which part of the human body?"
] | 2
|
[
117474,
117475
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What is the stage name of Dylan Mills?\nQuestion 2: During which holiday do Jews refrain from eating leavened bread?",
"role": "user"
}
] |
["Dirtee Stank (UMG)", "Dizzy Rascal", "DIZZEE RASCAL", "Still Sittin' Here", "Dizzie Rascal", "Dizzee rascal", "Dylan Mills", "H Town (song)", "Dirtee Stank", "Dizzee", "Dizzee Rascal"]; ["Peysach", "Korban Pesah", "Pessah", "P\u025bsa\u0127", "Mazzoth", "Pesaha", "Pasach", "Feast of Unleavened Bread", "Pass over", "Food rules for Passover", "Festival of unleavened bread", "Last Day of Unleavened Bread", "Paysakh", "\u05e4\u05b6\u05bc\u05e1\u05b7\u05d7", "Passover (Jewish holiday)", "Pesach", "Pesa\u1e25", "Passover", "Shevi'i shel Pesach", "Pesakh", "Peysekh", "Festival of Unleavened Bread", "Paisach", "Paysokh", "Pesachdik", "Feast of unleavened bread", "Shvi'i shel Pesach", "Paysach", "Pesah", "Jewish Passover", "The Days of Unleavened Bread", "Peisach", "First Day of Unleavened Bread", "Passover food", "Festival of the Unleavened Bread"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Dirtee Stank (UMG)\", \"Dizzy Rascal\", \"DIZZEE RASCAL\", \"Still Sittin' Here\", \"Dizzie Rascal\", \"Dizzee rascal\", \"Dylan Mills\", \"H Town (song)\", \"Dirtee Stank\", \"Dizzee\", \"Dizzee Rascal\"]",
"[\"Peysach\", \"Korban Pesah\", \"Pessah\", \"P\\u025bsa\\u0127\", \"Mazzoth\", \"Pesaha\", \"Pasach\", \"Feast of Unleavened Bread\", \"Pass over\", \"Food rules for Passover\", \"Festival of unleavened bread\", \"Last Day of Unleavened Bread\", \"Paysakh\", \"\\u05e4\\u05b6\\u05bc\\u05e1\\u05b7\\u05d7\", \"Passover (Jewish holiday)\", \"Pesach\", \"Pesa\\u1e25\", \"Passover\", \"Shevi'i shel Pesach\", \"Pesakh\", \"Peysekh\", \"Festival of Unleavened Bread\", \"Paisach\", \"Paysokh\", \"Pesachdik\", \"Feast of unleavened bread\", \"Shvi'i shel Pesach\", \"Paysach\", \"Pesah\", \"Jewish Passover\", \"The Days of Unleavened Bread\", \"Peisach\", \"First Day of Unleavened Bread\", \"Passover food\", \"Festival of the Unleavened Bread\"]"
] |
[
"What is the stage name of Dylan Mills?",
"During which holiday do Jews refrain from eating leavened bread?"
] | 2
|
[
104358,
104359
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Andrew Marr, Rosie Boycott and Simon Kelner have been editors of which daily newspaper?\nQuestion 2: Which British TV soap opera ran from 2 November 1964 to 4 April 1988 with minor changes of name, was revived on 5 March 2001, went into hiatus from August 2002 to January 2003, with the final episode broadcast on 30 May 2003?",
"role": "user"
}
] |
["The Independant", "Independent Magazine", "Independent (newspaper)", "The Independent", "The Independent Online", "Indep.", "The Independant on Sunday", "The Independent (UK)", "The independant", "Independent Online", "Independent on Sunday", "Independent.co.uk", "The Independent Newspaper", "The Independent Sunday", "The Independent (London (UK))", "Independent On Sunday", "The indy", "Independent newspaper", "The Independent on Sunday", "The Independent (newspaper)", "The Independent newspaper", "Www.independent.co.uk", "Sindie", "The Independent On Sunday", "The Independent (London)", "Independent (UK)"]; ["Crossroad", "Crossroads (album)", "Crossroad (album)", "Cross Road", "Crossroads (TV series)", "Crossroads (single)", "Crossroads mall", "Crossroads", "Crossroads (film)", "Cross roads", "Crossroads (movie)", "Crossroads (television series)", "Crossroads (disambiguation)", "Cross Roads", "Cross-roads"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"The Independant\", \"Independent Magazine\", \"Independent (newspaper)\", \"The Independent\", \"The Independent Online\", \"Indep.\", \"The Independant on Sunday\", \"The Independent (UK)\", \"The independant\", \"Independent Online\", \"Independent on Sunday\", \"Independent.co.uk\", \"The Independent Newspaper\", \"The Independent Sunday\", \"The Independent (London (UK))\", \"Independent On Sunday\", \"The indy\", \"Independent newspaper\", \"The Independent on Sunday\", \"The Independent (newspaper)\", \"The Independent newspaper\", \"Www.independent.co.uk\", \"Sindie\", \"The Independent On Sunday\", \"The Independent (London)\", \"Independent (UK)\"]",
"[\"Crossroad\", \"Crossroads (album)\", \"Crossroad (album)\", \"Cross Road\", \"Crossroads (TV series)\", \"Crossroads (single)\", \"Crossroads mall\", \"Crossroads\", \"Crossroads (film)\", \"Cross roads\", \"Crossroads (movie)\", \"Crossroads (television series)\", \"Crossroads (disambiguation)\", \"Cross Roads\", \"Cross-roads\"]"
] |
[
"Andrew Marr, Rosie Boycott and Simon Kelner have been editors of which daily newspaper?",
"Which British TV soap opera ran from 2 November 1964 to 4 April 1988 with minor changes of name, was revived on 5 March 2001, went into hiatus from August 2002 to January 2003, with the final episode broadcast on 30 May 2003?"
] | 2
|
[
36104,
36105
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: In 1942, which American painted 'Nighthawks'?\nQuestion 2: \"Which comedian played the title role in the 1963 film, \"\"The Punch and Judy Man\"\"?\"",
"role": "user"
}
] |
["Edward Hopper", "EDWARD HOPPER", "Girlie Show (painting)", "Hopper, Edward", "Hopperesque"]; ["Tony Hancock"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Edward Hopper\", \"EDWARD HOPPER\", \"Girlie Show (painting)\", \"Hopper, Edward\", \"Hopperesque\"]",
"[\"Tony Hancock\"]"
] |
[
"In 1942, which American painted 'Nighthawks'?",
"\"Which comedian played the title role in the 1963 film, \"\"The Punch and Judy Man\"\"?\""
] | 2
|
[
37394,
37395
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What is the seventh letter of the Greek alphabet, and also a terrorist organization?\nQuestion 2: Who wrote the 1946 play ‘The Winslow Boy’?",
"role": "user"
}
] |
["Eta (Greek)", "Eta (letter)", "\u0389\u03c4\u03b1", "%5Ceta", "Eta", "\u0397", "\u1f2e\u03c4\u03b1"]; ["Terence Ratigan", "Rattigan", "Terrence Rattigan", "Sir Terence Rattigan", "Sir Terence Mervyn Rattigan", "Terence Rattigan", "Terence Mervyn Rattigan"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Eta (Greek)\", \"Eta (letter)\", \"\\u0389\\u03c4\\u03b1\", \"%5Ceta\", \"Eta\", \"\\u0397\", \"\\u1f2e\\u03c4\\u03b1\"]",
"[\"Terence Ratigan\", \"Rattigan\", \"Terrence Rattigan\", \"Sir Terence Rattigan\", \"Sir Terence Mervyn Rattigan\", \"Terence Rattigan\", \"Terence Mervyn Rattigan\"]"
] |
[
"What is the seventh letter of the Greek alphabet, and also a terrorist organization?",
"Who wrote the 1946 play ‘The Winslow Boy’?"
] | 2
|
[
60026,
60027
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Io is one of the moons of which planet?\nQuestion 2: Which spice is named from Hungarian for pepper?",
"role": "user"
}
] |
["Physical characteristics of Jupiter", "Sol 5", "Jupiter (astronomy)", "Weight of Jupiter", "Life on Jupiter", "Jupitor", "Planet Jupiter", "Wood Star", "Jupiter (Planet)", "Jovian diameter", "Jupiter!", "JUPITER", "Mass of Jupiter", "Astronomy Jupiter", "Zenography", "Jupiter (planet)", "Jupiter's", "\u2643", "Sol-5", "Jovian orbit", "The mass of Jupiter", "Sun f", "Sol f", "Jupiter weight", "Jupiter(planet)", "The weight of Jupiter", "Sol V", "Jupiter's radio emissions", "Jupiter", "Jupiter radius", "Jupitero"]; ["Colorau", "Piment\u00f3n", "Green paprika", "Pimentao doce", "Smoked paprika", "Red paprika", "Paprika", "Piment\u00e3o", "Pimenton", "Pimentao", "Yellow paprika", "Piment\u00e3o doce"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Physical characteristics of Jupiter\", \"Sol 5\", \"Jupiter (astronomy)\", \"Weight of Jupiter\", \"Life on Jupiter\", \"Jupitor\", \"Planet Jupiter\", \"Wood Star\", \"Jupiter (Planet)\", \"Jovian diameter\", \"Jupiter!\", \"JUPITER\", \"Mass of Jupiter\", \"Astronomy Jupiter\", \"Zenography\", \"Jupiter (planet)\", \"Jupiter's\", \"\\u2643\", \"Sol-5\", \"Jovian orbit\", \"The mass of Jupiter\", \"Sun f\", \"Sol f\", \"Jupiter weight\", \"Jupiter(planet)\", \"The weight of Jupiter\", \"Sol V\", \"Jupiter's radio emissions\", \"Jupiter\", \"Jupiter radius\", \"Jupitero\"]",
"[\"Colorau\", \"Piment\\u00f3n\", \"Green paprika\", \"Pimentao doce\", \"Smoked paprika\", \"Red paprika\", \"Paprika\", \"Piment\\u00e3o\", \"Pimenton\", \"Pimentao\", \"Yellow paprika\", \"Piment\\u00e3o doce\"]"
] |
[
"Io is one of the moons of which planet?",
"Which spice is named from Hungarian for pepper?"
] | 2
|
[
22030,
22031
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: If you landed at 'Reina Sofia Airport' which island would you be holidaying on?\nQuestion 2: Which halogen element, number 9 in the Periodic Table, is at standard pressure/temperature a pale yellow gas?",
"role": "user"
}
] |
["Tenerife, Canary Islands", "Tenarife", "Tenerif", "Teneriffa", "Teneriff", "Tenerife", "TENERIFE", "Tenerife Island", "T\u00e9n\u00e9rife", "Tenerife, Spain"]; ["Floreen", "Ftor", "Fluorinated", "Quartz Fluorine Tube", "Difluorine", "Hydrocarbons, fluorinated", "Fluoro", "Flourine", "Atomic number 9", "Fluorine gas", "Fluorine compounds", "Fluorine"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Tenerife, Canary Islands\", \"Tenarife\", \"Tenerif\", \"Teneriffa\", \"Teneriff\", \"Tenerife\", \"TENERIFE\", \"Tenerife Island\", \"T\\u00e9n\\u00e9rife\", \"Tenerife, Spain\"]",
"[\"Floreen\", \"Ftor\", \"Fluorinated\", \"Quartz Fluorine Tube\", \"Difluorine\", \"Hydrocarbons, fluorinated\", \"Fluoro\", \"Flourine\", \"Atomic number 9\", \"Fluorine gas\", \"Fluorine compounds\", \"Fluorine\"]"
] |
[
"If you landed at 'Reina Sofia Airport' which island would you be holidaying on?",
"Which halogen element, number 9 in the Periodic Table, is at standard pressure/temperature a pale yellow gas?"
] | 2
|
[
71434,
71435
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Which school was founded in 1382 by William of Wykeham?\nQuestion 2: Mohandas Gandhi studied law at which English educational institution?",
"role": "user"
}
] |
["Brockwood", "WINCHESTER", "Winchester", "Brockwood Park", "Wintoncester", "Winchester District Council", "Winchester, England", "Winchester, UK", "Stanmore Primary School", "Winchester district", "Winchester, Hampshire", "City of winchester"]; ["University of London Orienteering Club", "Londin.", "University of London", "Vice-Chancellor of the University of London", "University of london", "Chancellor of the University of London", "Athlone press", "London University", "University Of London Dragons", "University of London Act 1994", "University of London Dragons", "The University of London", "Londin", "List of Chancellors of the University of London"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Brockwood\", \"WINCHESTER\", \"Winchester\", \"Brockwood Park\", \"Wintoncester\", \"Winchester District Council\", \"Winchester, England\", \"Winchester, UK\", \"Stanmore Primary School\", \"Winchester district\", \"Winchester, Hampshire\", \"City of winchester\"]",
"[\"University of London Orienteering Club\", \"Londin.\", \"University of London\", \"Vice-Chancellor of the University of London\", \"University of london\", \"Chancellor of the University of London\", \"Athlone press\", \"London University\", \"University Of London Dragons\", \"University of London Act 1994\", \"University of London Dragons\", \"The University of London\", \"Londin\", \"List of Chancellors of the University of London\"]"
] |
[
"Which school was founded in 1382 by William of Wykeham?",
"Mohandas Gandhi studied law at which English educational institution?"
] | 2
|
[
133612,
133613
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Named after their 2004 number one album, what is the name of the stage musical based on the works of Green Day?\nQuestion 2: What is the chemical formula of Sodium Chloride?",
"role": "user"
}
] |
["American Idiot (album)", "She's a Rebel", "Extraordinary Girl", "Are We The Waiting", "The american idiot", "She's A Rebel", "American Idiot: The Movie", "Homecoming (Green Day song)", "Are We the Waiting", "Give Me Novocaine", "AMERICAN IDIOT", "Are We the Waiting/St. Jimmy", "Whatsername", "St Jimmy", "Nobody likes you", "Saint Jimmy", "American Idiot", "Governator (song)", "American Idiot tour", "Letterbomb (song)", "St jimmy", "Heart Like a Hand Grenade", "Green Day Presents American Idiot", "Saint jimmy", "She's a rebel", "Are we the waiting", "American idiot", "St. Jimmy", "Give Me Novacaine"]; ["ATC code B05CB01", "Halite structure", "ATCvet code QB05CB01", "NaCl", "Sodium chloride", "Salt (sodium chloride)", "Natrium chloride", "Natrum Mur.", "ATCvet code QA12CA01", "Na Cl", "ATC code B05XA03", "NaCL", "Sodium Chloride", "Sodium chlorine", "NACL", "Broncho Saline", "ATCvet code QB05XA03", "Road salt", "Nacl", "ATC code A12CA01", "Muriate of soda", "NaCl structure"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"American Idiot (album)\", \"She's a Rebel\", \"Extraordinary Girl\", \"Are We The Waiting\", \"The american idiot\", \"She's A Rebel\", \"American Idiot: The Movie\", \"Homecoming (Green Day song)\", \"Are We the Waiting\", \"Give Me Novocaine\", \"AMERICAN IDIOT\", \"Are We the Waiting/St. Jimmy\", \"Whatsername\", \"St Jimmy\", \"Nobody likes you\", \"Saint Jimmy\", \"American Idiot\", \"Governator (song)\", \"American Idiot tour\", \"Letterbomb (song)\", \"St jimmy\", \"Heart Like a Hand Grenade\", \"Green Day Presents American Idiot\", \"Saint jimmy\", \"She's a rebel\", \"Are we the waiting\", \"American idiot\", \"St. Jimmy\", \"Give Me Novacaine\"]",
"[\"ATC code B05CB01\", \"Halite structure\", \"ATCvet code QB05CB01\", \"NaCl\", \"Sodium chloride\", \"Salt (sodium chloride)\", \"Natrium chloride\", \"Natrum Mur.\", \"ATCvet code QA12CA01\", \"Na Cl\", \"ATC code B05XA03\", \"NaCL\", \"Sodium Chloride\", \"Sodium chlorine\", \"NACL\", \"Broncho Saline\", \"ATCvet code QB05XA03\", \"Road salt\", \"Nacl\", \"ATC code A12CA01\", \"Muriate of soda\", \"NaCl structure\"]"
] |
[
"Named after their 2004 number one album, what is the name of the stage musical based on the works of Green Day?",
"What is the chemical formula of Sodium Chloride?"
] | 2
|
[
29596,
29597
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: In which country is the deepwater port of Belem?\nQuestion 2: How many stations are on the London Underground Central Line?",
"role": "user"
}
] |
["Brazil", "Etymology of Brazil", "Federal Republic of Brazil", "Brasil", "Barzil", "Federative Republic of Brazil", "Brazil (country)", "Brassil", "Republic of Brazil", "Br\u00e9sil", "Brzil", "Brazilian Federative Republic", "Republica Federativa do Brasil", "Bresil", "Brazilian Republic", "ISO 3166-1:BR", "Rep\u00fablica Federativa do Brasil", "Brazilo"]; ["forty-nine", "49"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Brazil\", \"Etymology of Brazil\", \"Federal Republic of Brazil\", \"Brasil\", \"Barzil\", \"Federative Republic of Brazil\", \"Brazil (country)\", \"Brassil\", \"Republic of Brazil\", \"Br\\u00e9sil\", \"Brzil\", \"Brazilian Federative Republic\", \"Republica Federativa do Brasil\", \"Bresil\", \"Brazilian Republic\", \"ISO 3166-1:BR\", \"Rep\\u00fablica Federativa do Brasil\", \"Brazilo\"]",
"[\"forty-nine\", \"49\"]"
] |
[
"In which country is the deepwater port of Belem?",
"How many stations are on the London Underground Central Line?"
] | 2
|
[
116644,
116645
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What is the typical method of execution in Saudi Arabia?\nQuestion 2: For what activity is Jasper Conran famous?",
"role": "user"
}
] |
["Celtic decapitation", "Beheadings", "Personal beheading", "Decapitated", "Decapitating", "Decollation", "Beheading", "Beheadment", "Head removal", "Decapitation", "Decapitates", "Behead", "Decapition", "Sugitani Zenjub\u014d", "Decapitate"]; ["Fashion-house", "Fashion Icon", "Fashion consultant", "Fashion lable", "Fashion design", "Modelistlik", "Fashion designer", "Fashion Design", "Fashion houses", "Clothing designer", "Zarouvian", "Fashion Designing", "Stilistlik", "Stilist", "Apparel design", "Fashion Designer", "Fashion house", "Clothing design", "Label (fashion)", "Image consultant", "A Fashion Designers job", "Fashion label", "Stilistik", "A History OF Fashion Design", "Fashion icons", "Modelist", "High fashion"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Celtic decapitation\", \"Beheadings\", \"Personal beheading\", \"Decapitated\", \"Decapitating\", \"Decollation\", \"Beheading\", \"Beheadment\", \"Head removal\", \"Decapitation\", \"Decapitates\", \"Behead\", \"Decapition\", \"Sugitani Zenjub\\u014d\", \"Decapitate\"]",
"[\"Fashion-house\", \"Fashion Icon\", \"Fashion consultant\", \"Fashion lable\", \"Fashion design\", \"Modelistlik\", \"Fashion designer\", \"Fashion Design\", \"Fashion houses\", \"Clothing designer\", \"Zarouvian\", \"Fashion Designing\", \"Stilistlik\", \"Stilist\", \"Apparel design\", \"Fashion Designer\", \"Fashion house\", \"Clothing design\", \"Label (fashion)\", \"Image consultant\", \"A Fashion Designers job\", \"Fashion label\", \"Stilistik\", \"A History OF Fashion Design\", \"Fashion icons\", \"Modelist\", \"High fashion\"]"
] |
[
"What is the typical method of execution in Saudi Arabia?",
"For what activity is Jasper Conran famous?"
] | 2
|
[
81114,
81115
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: In the UK, which item of furniture in the House of Commons at Westminster was originally designed by Augustus Welby Pugin in the 19th Century?\nQuestion 2: The football club BATE Borisov made their debut in the European Champions League this season, in which country do they play?",
"role": "user"
}
] |
["Speaker\u2019s Chair"]; ["Vitryssland", "\u0420\u0435\u0441\u043f\u0443\u0431\u043b\u0438\u043a\u0430 \u0411\u0435\u043b\u0430\u0440\u0443\u0441\u044c", "Republic of Belorus", "Russia (Belarus)", "\u0411\u0435\u043b\u043e\u0440\u0443\u0301\u0441\u0441\u0438\u044f", "Belaruss", "\u0420\u044d\u0441\u043f\u0443\u0431\u043b\u0456\u043a\u0430 \u0411\u0435\u043b\u0430\u0440\u0443\u0441\u044c", "Republic of Belarus", "Belarus", "Etymology of Belarus", "Bie\u0142aru\u015b", "Name of Belarus", "Bielorussia", "Belarussia", "Belorus", "Byelarossia", "Belarus'", "Belarussi", "Balarus", "\u0411\u0435\u043b\u043e\u0440\u0443\u0441\u0441\u0438\u044f", "Buelorussia", "Belorussia", "Respublika Belarus", "Beloruss", "Bellarus", "Belorusi", "Bielaru\u015b", "Byelarus", "ISO 3166-1:BY", "\u0411\u0435\u043b\u0430\u0440\u0443\u0441\u044c", "Republic of Beloruss", "Belarus\u2019", "Belorusia"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Speaker\\u2019s Chair\"]",
"[\"Vitryssland\", \"\\u0420\\u0435\\u0441\\u043f\\u0443\\u0431\\u043b\\u0438\\u043a\\u0430 \\u0411\\u0435\\u043b\\u0430\\u0440\\u0443\\u0441\\u044c\", \"Republic of Belorus\", \"Russia (Belarus)\", \"\\u0411\\u0435\\u043b\\u043e\\u0440\\u0443\\u0301\\u0441\\u0441\\u0438\\u044f\", \"Belaruss\", \"\\u0420\\u044d\\u0441\\u043f\\u0443\\u0431\\u043b\\u0456\\u043a\\u0430 \\u0411\\u0435\\u043b\\u0430\\u0440\\u0443\\u0441\\u044c\", \"Republic of Belarus\", \"Belarus\", \"Etymology of Belarus\", \"Bie\\u0142aru\\u015b\", \"Name of Belarus\", \"Bielorussia\", \"Belarussia\", \"Belorus\", \"Byelarossia\", \"Belarus'\", \"Belarussi\", \"Balarus\", \"\\u0411\\u0435\\u043b\\u043e\\u0440\\u0443\\u0441\\u0441\\u0438\\u044f\", \"Buelorussia\", \"Belorussia\", \"Respublika Belarus\", \"Beloruss\", \"Bellarus\", \"Belorusi\", \"Bielaru\\u015b\", \"Byelarus\", \"ISO 3166-1:BY\", \"\\u0411\\u0435\\u043b\\u0430\\u0440\\u0443\\u0441\\u044c\", \"Republic of Beloruss\", \"Belarus\\u2019\", \"Belorusia\"]"
] |
[
"In the UK, which item of furniture in the House of Commons at Westminster was originally designed by Augustus Welby Pugin in the 19th Century?",
"The football club BATE Borisov made their debut in the European Champions League this season, in which country do they play?"
] | 2
|
[
123598,
123599
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: In which Shakespeare play does the character Mustardseed appear?\nQuestion 2: Who was known as the Elephant Man",
"role": "user"
}
] |
["A midsummer night's dream", "A Midsummer Night's dream", "Demetrius (A Midsummer Night's Dream)", "A Midsummer Nights' Dream", "Lysander (Midsummer Night Dream)", "A midsummer's dream", "A mid summer night's dream", "Pease-blossom", "A Midsummer Night's Dream", "A Midsummernight's Dream", "Incidental Music to A Midsummer Night's Dream", "Peaseblossom", "AMND", "A Midsummer Night'S Dream", "Hermia and Helena", "Midsummer Night\u2019s Dream", "A Midsummer Night\u2019s Dream", "Midsummer Nights Dream", "Hippolyta (Shakespeare)", "Midsummer Night's Dream", "A Midsommer Nights Dreame", "A Midsummer Nights Dream", "Midsummer nights dream", "Lysander (Shakespeare)", "The Rude Mechanicals", "A Midsummer Night's Dream, Act IV", "Rude Mechanic", "A Midsummer's Night Dream", "Lysander (A Midsummer Night's Dream)", "A midsummernight's dream", "A Midsummer-Night's Dream", "Midsummer-Night's Dream", "A Mid\u017fommer Nights Dreame", "Demetrius (Midsummer Night Dream)", "Midsummer night dream", "A Middsummer Night's Dream", "MSND"]; ["John Merrick (disambiguation)", "John Merrick", "Merrick, John"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"A midsummer night's dream\", \"A Midsummer Night's dream\", \"Demetrius (A Midsummer Night's Dream)\", \"A Midsummer Nights' Dream\", \"Lysander (Midsummer Night Dream)\", \"A midsummer's dream\", \"A mid summer night's dream\", \"Pease-blossom\", \"A Midsummer Night's Dream\", \"A Midsummernight's Dream\", \"Incidental Music to A Midsummer Night's Dream\", \"Peaseblossom\", \"AMND\", \"A Midsummer Night'S Dream\", \"Hermia and Helena\", \"Midsummer Night\\u2019s Dream\", \"A Midsummer Night\\u2019s Dream\", \"Midsummer Nights Dream\", \"Hippolyta (Shakespeare)\", \"Midsummer Night's Dream\", \"A Midsommer Nights Dreame\", \"A Midsummer Nights Dream\", \"Midsummer nights dream\", \"Lysander (Shakespeare)\", \"The Rude Mechanicals\", \"A Midsummer Night's Dream, Act IV\", \"Rude Mechanic\", \"A Midsummer's Night Dream\", \"Lysander (A Midsummer Night's Dream)\", \"A midsummernight's dream\", \"A Midsummer-Night's Dream\", \"Midsummer-Night's Dream\", \"A Mid\\u017fommer Nights Dreame\", \"Demetrius (Midsummer Night Dream)\", \"Midsummer night dream\", \"A Middsummer Night's Dream\", \"MSND\"]",
"[\"John Merrick (disambiguation)\", \"John Merrick\", \"Merrick, John\"]"
] |
[
"In which Shakespeare play does the character Mustardseed appear?",
"Who was known as the Elephant Man"
] | 2
|
[
29104,
29105
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: \"Which poet wrote the work \"\"Composed upon Westminster Bridge, September 3rd 1802\"\"?\"\nQuestion 2: Andreas Thorkildsen set a new Olympic record at the 2008 Olympics in Beijing for throwing what?",
"role": "user"
}
] |
["Wordsworth, William", "William wordsworth", "Wordsworth", "William Woodsworth", "The Bard of Rydal Mount", "W. Wordsworth", "Annette Vallon", "Annette vallon", "William Wordsworth", "Bard of Rydal Mount"]; ["Akontion", "Javelins", "Throwing spear", "Acconzius", "Javelin (Pole weapon)", "Javelin", "Throwing spears", "Javelin (weapon)"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Wordsworth, William\", \"William wordsworth\", \"Wordsworth\", \"William Woodsworth\", \"The Bard of Rydal Mount\", \"W. Wordsworth\", \"Annette Vallon\", \"Annette vallon\", \"William Wordsworth\", \"Bard of Rydal Mount\"]",
"[\"Akontion\", \"Javelins\", \"Throwing spear\", \"Acconzius\", \"Javelin (Pole weapon)\", \"Javelin\", \"Throwing spears\", \"Javelin (weapon)\"]"
] |
[
"\"Which poet wrote the work \"\"Composed upon Westminster Bridge, September 3rd 1802\"\"?\"",
"Andreas Thorkildsen set a new Olympic record at the 2008 Olympics in Beijing for throwing what?"
] | 2
|
[
656,
657
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Who is credited with finding the cross used by Jesus and the remains of the Three Wise Men?\nQuestion 2: What north-eastern state of India (at 2012) accounts for more than 50% of the nation's tea production, and is said to be the world's biggest tea-growing region?",
"role": "user"
}
] |
["Army of Saint Helena", "St-Helena", "Education in Saint Helena", "Island of Saint Helena", "St. Helena", "Saint Helena (Britain)", "Military of Saint Helena", "Saint Helena (island)", "Saint Helena(territory)", "Saint Helena", "Telecommunications in Saint Helena", "Speery Island", "Sport in Saint Helena", "Saint-Helena", "St.Helena", "British Overseas Territory of Saint Helena", "Atlantic/St Helena", "Saint Helena/Military", "Saint Helena (UK)", "St Helena"]; ["\u00d4x\u00f4m", "Assam State", "\u0985\u09b8\u09ae", "Assam (India)", "ASSAM", "IN-AS", "Asom", "Assam, India", "Assom", "Assam"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Army of Saint Helena\", \"St-Helena\", \"Education in Saint Helena\", \"Island of Saint Helena\", \"St. Helena\", \"Saint Helena (Britain)\", \"Military of Saint Helena\", \"Saint Helena (island)\", \"Saint Helena(territory)\", \"Saint Helena\", \"Telecommunications in Saint Helena\", \"Speery Island\", \"Sport in Saint Helena\", \"Saint-Helena\", \"St.Helena\", \"British Overseas Territory of Saint Helena\", \"Atlantic/St Helena\", \"Saint Helena/Military\", \"Saint Helena (UK)\", \"St Helena\"]",
"[\"\\u00d4x\\u00f4m\", \"Assam State\", \"\\u0985\\u09b8\\u09ae\", \"Assam (India)\", \"ASSAM\", \"IN-AS\", \"Asom\", \"Assam, India\", \"Assom\", \"Assam\"]"
] |
[
"Who is credited with finding the cross used by Jesus and the remains of the Three Wise Men?",
"What north-eastern state of India (at 2012) accounts for more than 50% of the nation's tea production, and is said to be the world's biggest tea-growing region?"
] | 2
|
[
39220,
39221
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What was the first name of Doctor Barnardo?\nQuestion 2: Which company was found officially responsible for the Suffolk Bird Flu outbreak in February 2007?",
"role": "user"
}
] |
["Thomas", "Thos.", "Thomas (disambiguation)"]; ["Bernard Trevor Matthews", "Bernie matthew", "Bernard Matthews", "Bernard Matthews (person)"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Thomas\", \"Thos.\", \"Thomas (disambiguation)\"]",
"[\"Bernard Trevor Matthews\", \"Bernie matthew\", \"Bernard Matthews\", \"Bernard Matthews (person)\"]"
] |
[
"What was the first name of Doctor Barnardo?",
"Which company was found officially responsible for the Suffolk Bird Flu outbreak in February 2007?"
] | 2
|
[
114446,
114447
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: The resort town of Whistler is in which Canadian province?\nQuestion 2: How many points does a Star of David have?",
"role": "user"
}
] |
["British Columbia Boundaries Act 1863", "British Columbia", "BC Canada", "British Columbian", "Ecology of British Columbia", "BCer", "British Columbia, Canada", "Province of British Columbia", "Brtish Columbia", "CA-BC", "Brittish columbia", "BC, Canada", "Recreation in British Columbia", "Pacific Canada", "La Colombie-Britannique", "British Colombia", "Columbia Brit\u00e1nica", "British columbia", "Colombie-Britannique"]; ["six", "6"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"British Columbia Boundaries Act 1863\", \"British Columbia\", \"BC Canada\", \"British Columbian\", \"Ecology of British Columbia\", \"BCer\", \"British Columbia, Canada\", \"Province of British Columbia\", \"Brtish Columbia\", \"CA-BC\", \"Brittish columbia\", \"BC, Canada\", \"Recreation in British Columbia\", \"Pacific Canada\", \"La Colombie-Britannique\", \"British Colombia\", \"Columbia Brit\\u00e1nica\", \"British columbia\", \"Colombie-Britannique\"]",
"[\"six\", \"6\"]"
] |
[
"The resort town of Whistler is in which Canadian province?",
"How many points does a Star of David have?"
] | 2
|
[
113550,
113551
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Who won the first UK series of The X Factor in 2004?\nQuestion 2: Which company made a 1950's/60's car called the Magnette?",
"role": "user"
}
] |
["STEVE BROOKSTEIN", "Steve Brookstein"]; ["Mg", "M.G.", "MG", "Mg.", "M G", "MG (disambiguation)", "M-G", "M.g."]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"STEVE BROOKSTEIN\", \"Steve Brookstein\"]",
"[\"Mg\", \"M.G.\", \"MG\", \"Mg.\", \"M G\", \"MG (disambiguation)\", \"M-G\", \"M.g.\"]"
] |
[
"Who won the first UK series of The X Factor in 2004?",
"Which company made a 1950's/60's car called the Magnette?"
] | 2
|
[
132336,
132337
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: \"'Descartes said \"\"Cogito ergo sum\"\". What does this Latin phrase mean?\"\nQuestion 2: Who was the first cricketer to take 300 test wickets",
"role": "user"
}
] |
["I think, therefore I am", "I think therefore i am", "Cogito Ergo Sum", "Cogito, ergo sum", "I think, therefore, I am", "Je pense, donc je suis", "The Cogito", "Ergo Sum Cogito", "I think, therefore i am", "Cognito ergo sum", "I think therefore I am", "Cogito ergo sum", "Je pense donc je suis", "I think, therefore I am.", "Dubito, ergo cogito, ergo sum"]; ["Fiery Fred", "Fred Trueman", "Fred Sewards Trueman", "Freddie Trueman", "Frederick Sewards Trueman", "Freddie Truman"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"I think, therefore I am\", \"I think therefore i am\", \"Cogito Ergo Sum\", \"Cogito, ergo sum\", \"I think, therefore, I am\", \"Je pense, donc je suis\", \"The Cogito\", \"Ergo Sum Cogito\", \"I think, therefore i am\", \"Cognito ergo sum\", \"I think therefore I am\", \"Cogito ergo sum\", \"Je pense donc je suis\", \"I think, therefore I am.\", \"Dubito, ergo cogito, ergo sum\"]",
"[\"Fiery Fred\", \"Fred Trueman\", \"Fred Sewards Trueman\", \"Freddie Trueman\", \"Frederick Sewards Trueman\", \"Freddie Truman\"]"
] |
[
"\"'Descartes said \"\"Cogito ergo sum\"\". What does this Latin phrase mean?\"",
"Who was the first cricketer to take 300 test wickets"
] | 2
|
[
44278,
44279
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What city or town is known in its own country's language as Lefkosia?\nQuestion 2: What is the flavour of the liqueur Aamaretto?",
"role": "user"
}
] |
["Lefkosha", "Lefko\u015fa", "Leukosia", "Capital of Cyprus", "Lefkosa", "LefkoAYa", "Nicosia, Cyprus", "Levkosia", "Transport in Nicosia", "UN/LOCODE:CYNIC", "Asia/Nicosia", "Nicosia, Republic of Cyprus", "Nicosia", "Nikosia", "Lefko\u0219a", "Lefk\u00f2sia", "NICOSIA", "Levk\u00f2sia", "Lefkosia", "Lefko\u00c5\u0178a", "Europe/Nicosia"]; ["Almond tree", "Luz (nut)", "Amygdalus amara", "Almond oil", "Marcona almonds", "Mandel (nut)", "Badam", "Almond Bitter Oil", "Prunus dulcis", "Almond trees", "Amygdalus communis", "Almendrado", "Amygdalus dulcis", "Marcona Almonds", "Prunus amygdalus dulcis", "Druparia amygdalus", "Marcona almond", "Marcona Almond", "Prunus amygdalus", "Almond extract", "Amygdalus fragilis", "Amygdalus sativa", "Baadaam", "Oil of bitter almond", "Toasted Almond", "Oleum amygdalae", "Bitter almonds", "Sweet almond oil", "Almond", "\u0644\u0648\u0632", "Almonds", "Oil of Bitter Almonds", "Almond syrup", "Bitter almond"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Lefkosha\", \"Lefko\\u015fa\", \"Leukosia\", \"Capital of Cyprus\", \"Lefkosa\", \"LefkoAYa\", \"Nicosia, Cyprus\", \"Levkosia\", \"Transport in Nicosia\", \"UN/LOCODE:CYNIC\", \"Asia/Nicosia\", \"Nicosia, Republic of Cyprus\", \"Nicosia\", \"Nikosia\", \"Lefko\\u0219a\", \"Lefk\\u00f2sia\", \"NICOSIA\", \"Levk\\u00f2sia\", \"Lefkosia\", \"Lefko\\u00c5\\u0178a\", \"Europe/Nicosia\"]",
"[\"Almond tree\", \"Luz (nut)\", \"Amygdalus amara\", \"Almond oil\", \"Marcona almonds\", \"Mandel (nut)\", \"Badam\", \"Almond Bitter Oil\", \"Prunus dulcis\", \"Almond trees\", \"Amygdalus communis\", \"Almendrado\", \"Amygdalus dulcis\", \"Marcona Almonds\", \"Prunus amygdalus dulcis\", \"Druparia amygdalus\", \"Marcona almond\", \"Marcona Almond\", \"Prunus amygdalus\", \"Almond extract\", \"Amygdalus fragilis\", \"Amygdalus sativa\", \"Baadaam\", \"Oil of bitter almond\", \"Toasted Almond\", \"Oleum amygdalae\", \"Bitter almonds\", \"Sweet almond oil\", \"Almond\", \"\\u0644\\u0648\\u0632\", \"Almonds\", \"Oil of Bitter Almonds\", \"Almond syrup\", \"Bitter almond\"]"
] |
[
"What city or town is known in its own country's language as Lefkosia?",
"What is the flavour of the liqueur Aamaretto?"
] | 2
|
[
120130,
120131
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Who wore a dress made of meat?\nQuestion 2: \"In the term \"\"taxi-cab\"\", the word cab\"\" is an abbreviated form of what word?\"",
"role": "user"
}
] |
["@ladygaga", "Red and Blue (Lady Gaga ep)", "Fancy pants (song)", "Lady Gaga as a gay icon", "Joanne Stefani Germanotta", "Little Monsters (social networking site)", "Stefani joanne angelina germanotta", "Little monsters (fan)", "Popart (album)", "Lady Ga Ga", "Fancy Pants (Lady Gaga song)", "Electric Kiss", "Tea (song)", "Lady gaga", "Mother Monster", "Luc Carl", "Little Monsters (fandom)", "Stefani Joanne Angelina Germanotta", "Lady GaGa (band)", "Fame Monster: The Lady Gaga Story", "Stefani germanotta", "List of Lady Gaga concerts tours", "Little Monsters (Lady Gaga Fans)", "Germanotta", "Stefani Joanne Germanotta", "Lady Gaga in popular culture", "Ledi Gaga", "Lady Gaga", "List of Lady Gaga concert tours", "Ladz Gaga", "Lada Gaga", "Stefani Germanotta", "Lady Gaga as gay icon", "Monster (fragrance)", "LADY GAGA", "Joe Calderone", "Earthquake (lady gaga song)", "Lady GaGa", "Stefani J. A. Germanotta", "High Princess (Stache)", "Jo Calderone", "Lady Caca", "Little Monsters (fan)", "Glitter & Grease", "Little Monsters (social network)", "Still Have Fun", "Lady Gaga on Twitter"]; ["Cabriolet", "Drop-head", "Convertible car", "Coup\u00e9 cabriolet", "%22Soft top%22", "Cabriolets", "Coupe-cabriolet", "Hood (soft top)", "Droptop", "Cabrios", "Coupe convertible", "Cabriolet (car)", "Rag top", "Drop-top", "Drophead coupe", "Wind deflector", "Hard top convertible", "Drophead coup\u00e9", "Convertibles", "Drophead", "Convertible", "Ragtops", "Drop head", "Rag-top", "Roofless car", "Coupe cabriolet", "Cabriolet (automobile)", "Convertable", "Coupe-convertible", "Soft top", "Open roof car", "Drop Top", "Convertible (car)", "Drop top", "Drop-Head Coupe", "Retractable Hardtop", "Ragtop", "Cabrio"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"@ladygaga\", \"Red and Blue (Lady Gaga ep)\", \"Fancy pants (song)\", \"Lady Gaga as a gay icon\", \"Joanne Stefani Germanotta\", \"Little Monsters (social networking site)\", \"Stefani joanne angelina germanotta\", \"Little monsters (fan)\", \"Popart (album)\", \"Lady Ga Ga\", \"Fancy Pants (Lady Gaga song)\", \"Electric Kiss\", \"Tea (song)\", \"Lady gaga\", \"Mother Monster\", \"Luc Carl\", \"Little Monsters (fandom)\", \"Stefani Joanne Angelina Germanotta\", \"Lady GaGa (band)\", \"Fame Monster: The Lady Gaga Story\", \"Stefani germanotta\", \"List of Lady Gaga concerts tours\", \"Little Monsters (Lady Gaga Fans)\", \"Germanotta\", \"Stefani Joanne Germanotta\", \"Lady Gaga in popular culture\", \"Ledi Gaga\", \"Lady Gaga\", \"List of Lady Gaga concert tours\", \"Ladz Gaga\", \"Lada Gaga\", \"Stefani Germanotta\", \"Lady Gaga as gay icon\", \"Monster (fragrance)\", \"LADY GAGA\", \"Joe Calderone\", \"Earthquake (lady gaga song)\", \"Lady GaGa\", \"Stefani J. A. Germanotta\", \"High Princess (Stache)\", \"Jo Calderone\", \"Lady Caca\", \"Little Monsters (fan)\", \"Glitter & Grease\", \"Little Monsters (social network)\", \"Still Have Fun\", \"Lady Gaga on Twitter\"]",
"[\"Cabriolet\", \"Drop-head\", \"Convertible car\", \"Coup\\u00e9 cabriolet\", \"%22Soft top%22\", \"Cabriolets\", \"Coupe-cabriolet\", \"Hood (soft top)\", \"Droptop\", \"Cabrios\", \"Coupe convertible\", \"Cabriolet (car)\", \"Rag top\", \"Drop-top\", \"Drophead coupe\", \"Wind deflector\", \"Hard top convertible\", \"Drophead coup\\u00e9\", \"Convertibles\", \"Drophead\", \"Convertible\", \"Ragtops\", \"Drop head\", \"Rag-top\", \"Roofless car\", \"Coupe cabriolet\", \"Cabriolet (automobile)\", \"Convertable\", \"Coupe-convertible\", \"Soft top\", \"Open roof car\", \"Drop Top\", \"Convertible (car)\", \"Drop top\", \"Drop-Head Coupe\", \"Retractable Hardtop\", \"Ragtop\", \"Cabrio\"]"
] |
[
"Who wore a dress made of meat?",
"\"In the term \"\"taxi-cab\"\", the word cab\"\" is an abbreviated form of what word?\""
] | 2
|
[
108270,
108271
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Who partnered Jamie Murray when he won the mixed doubles title at Wimbledon in 2007?\nQuestion 2: Cheap literature of the 16-18th centuries was known as 'what' books, based on the old word for the travelling traders who sold them?",
"role": "user"
}
] |
["Jelena Jankovic", "Yelena Yankovic", "Jelena Jankovi\u0107", "Elena Jankovic", "\u0408\u0435\u043b\u0435\u043d\u0430 \u0408\u0430\u043d\u043a\u043e\u0432\u0438\u045b", "Jelena Jankovic career info", "Jelena Yankovic", "Elena Yankovic", "Yelena Jankovic", "Jelena jankovic", "Smiling Serb"]; ["Chatbook", "Chapbook", "Volksbuch", "Poetry pamphlet", "Chap book", "Chap-Book", "Chap-book", "Chapbooks"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Jelena Jankovic\", \"Yelena Yankovic\", \"Jelena Jankovi\\u0107\", \"Elena Jankovic\", \"\\u0408\\u0435\\u043b\\u0435\\u043d\\u0430 \\u0408\\u0430\\u043d\\u043a\\u043e\\u0432\\u0438\\u045b\", \"Jelena Jankovic career info\", \"Jelena Yankovic\", \"Elena Yankovic\", \"Yelena Jankovic\", \"Jelena jankovic\", \"Smiling Serb\"]",
"[\"Chatbook\", \"Chapbook\", \"Volksbuch\", \"Poetry pamphlet\", \"Chap book\", \"Chap-Book\", \"Chap-book\", \"Chapbooks\"]"
] |
[
"Who partnered Jamie Murray when he won the mixed doubles title at Wimbledon in 2007?",
"Cheap literature of the 16-18th centuries was known as 'what' books, based on the old word for the travelling traders who sold them?"
] | 2
|
[
107120,
107121
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What are motorways called in Spain\nQuestion 2: Which town in Southwest Belgium, twinned with Bootle in 1967, was on 21 August 1914, the site of the first World War I battle between British and German forces?",
"role": "user"
}
] |
["Autopista", "Autopista (disambiguation)"]; ["Montes", "Mons, Belgium", "Montes, Walloon", "Bergen, Belgium", "Countship of Bergen", "Mons", "County of Mons", "MONS"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Autopista\", \"Autopista (disambiguation)\"]",
"[\"Montes\", \"Mons, Belgium\", \"Montes, Walloon\", \"Bergen, Belgium\", \"Countship of Bergen\", \"Mons\", \"County of Mons\", \"MONS\"]"
] |
[
"What are motorways called in Spain",
"Which town in Southwest Belgium, twinned with Bootle in 1967, was on 21 August 1914, the site of the first World War I battle between British and German forces?"
] | 2
|
[
10878,
10879
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Tiananmen Square was a scene of conflict in which country?\nQuestion 2: What Italian violin virtuoso was rumored to have sold his soul to the devil?",
"role": "user"
}
] |
["Chinese People's Republic", "China (Peking)", "The prc", "Socialist China", "Chinese PR", "PRoC", "PRC", "China's", "P. R. of China", "People's Republic Of China", "The People's Republic of China", "China", "Territorial disputes of China", "China PRC", "People's repuublic of china", "China (PRC)", "China (People's Republic)", "People's Republic of China (Mainland China)", "Zhonghua Renmin Gonghe Guo", "People' Republic of China", "Prc", "People's republic of china", "People' s Republic of China", "P.R. of China", "China, People's Republic of", "Chung-Kuo", "P.R.C.", "The people's republic of china", "Zhong Guo", "Peoples republic of China", "Red China (modern)", "Chung-kuo", "The PRC", "Zhonghuarenmingongheguo", "State of China", "Zhonghu\u00e1 r\u00e9nm\u00edn g\u00f2ngh\u00e9gu\u00f3", "\u4e2d\u56fd", "Peoples republic of china", "P.R.China", "People's Republic or China", "Zhonghua Renmin Gongheguo", "China, the People's Republic of", "Nation of China", "People\u2019s Republic of China", "China, PRC", "Zh\u014dnghu\u00e1 R\u00e9nm\u00edn G\u00f2ngh\u00e9gu\u00f3", "Modern day China", "Peoples Republic of China", "PROC", "\u4e2d\u534e", "Chaina", "Zhongguo", "Homes in china", "People's republic of China", "Zh\u014dnggu\u00f3", "Sinic", "China PR", "PRC (China)", "\u4e2d\u570b", "Jhonggu\u00f3", "Red Chinese", "(The People's Republic of) China", "The People\u2019s Republic of China", "China (Republic : 1949- )", "CHINA", "China People's Republic", "Pr china", "P.r. of china", "Chungkuo", "ISO 3166-1:CN", "Land of China", "Zhonghua renmin gongheguo", "P.R. China", "Zhonggu\u00f3", "\u4e2d\u534e\u4eba\u6c11\u5171\u548c\u56fd", "PRChina", "\u4e2d\u83ef", "PR of China", "\u4e2d\u83ef\u4eba\u6c11\u5171\u548c\u570b", "Pr of c", "Cihna", "Communist China (modern)", "P. R. China", "People's Republic of China (PRC)", "Peoples' Republic of China", "The Peoples Republic of China", "People's Republic of China", "Pr of china", "PR China", "P.R. of CHINA"]; ["Niccolo Paganini", "Niccol\u00f2 Paganini Bocciardo", "Niccol\u00f2 Paganini", "Nicollo Paganini", "Nicolo Paganini", "Paganini", "Paganini, Niccolo"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Chinese People's Republic\", \"China (Peking)\", \"The prc\", \"Socialist China\", \"Chinese PR\", \"PRoC\", \"PRC\", \"China's\", \"P. R. of China\", \"People's Republic Of China\", \"The People's Republic of China\", \"China\", \"Territorial disputes of China\", \"China PRC\", \"People's repuublic of china\", \"China (PRC)\", \"China (People's Republic)\", \"People's Republic of China (Mainland China)\", \"Zhonghua Renmin Gonghe Guo\", \"People' Republic of China\", \"Prc\", \"People's republic of china\", \"People' s Republic of China\", \"P.R. of China\", \"China, People's Republic of\", \"Chung-Kuo\", \"P.R.C.\", \"The people's republic of china\", \"Zhong Guo\", \"Peoples republic of China\", \"Red China (modern)\", \"Chung-kuo\", \"The PRC\", \"Zhonghuarenmingongheguo\", \"State of China\", \"Zhonghu\\u00e1 r\\u00e9nm\\u00edn g\\u00f2ngh\\u00e9gu\\u00f3\", \"\\u4e2d\\u56fd\", \"Peoples republic of china\", \"P.R.China\", \"People's Republic or China\", \"Zhonghua Renmin Gongheguo\", \"China, the People's Republic of\", \"Nation of China\", \"People\\u2019s Republic of China\", \"China, PRC\", \"Zh\\u014dnghu\\u00e1 R\\u00e9nm\\u00edn G\\u00f2ngh\\u00e9gu\\u00f3\", \"Modern day China\", \"Peoples Republic of China\", \"PROC\", \"\\u4e2d\\u534e\", \"Chaina\", \"Zhongguo\", \"Homes in china\", \"People's republic of China\", \"Zh\\u014dnggu\\u00f3\", \"Sinic\", \"China PR\", \"PRC (China)\", \"\\u4e2d\\u570b\", \"Jhonggu\\u00f3\", \"Red Chinese\", \"(The People's Republic of) China\", \"The People\\u2019s Republic of China\", \"China (Republic : 1949- )\", \"CHINA\", \"China People's Republic\", \"Pr china\", \"P.r. of china\", \"Chungkuo\", \"ISO 3166-1:CN\", \"Land of China\", \"Zhonghua renmin gongheguo\", \"P.R. China\", \"Zhonggu\\u00f3\", \"\\u4e2d\\u534e\\u4eba\\u6c11\\u5171\\u548c\\u56fd\", \"PRChina\", \"\\u4e2d\\u83ef\", \"PR of China\", \"\\u4e2d\\u83ef\\u4eba\\u6c11\\u5171\\u548c\\u570b\", \"Pr of c\", \"Cihna\", \"Communist China (modern)\", \"P. R. China\", \"People's Republic of China (PRC)\", \"Peoples' Republic of China\", \"The Peoples Republic of China\", \"People's Republic of China\", \"Pr of china\", \"PR China\", \"P.R. of CHINA\"]",
"[\"Niccolo Paganini\", \"Niccol\\u00f2 Paganini Bocciardo\", \"Niccol\\u00f2 Paganini\", \"Nicollo Paganini\", \"Nicolo Paganini\", \"Paganini\", \"Paganini, Niccolo\"]"
] |
[
"Tiananmen Square was a scene of conflict in which country?",
"What Italian violin virtuoso was rumored to have sold his soul to the devil?"
] | 2
|
[
40792,
40793
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Who was snooker World Champion in 1990, 92, 93, 94, 95, 96 & 99?\nQuestion 2: England cricketer Denis Compton played for which county club?",
"role": "user"
}
] |
["Steven Hendry", "Stephen Gordon Hendry", "Stephen Hendry", "The Golden Bairn", "The Wonder Bairn", "Stephen Gordon Hendry MBE", "STEPHEN HENDRY", "Stephen Gordon Hendry, MBE"]; ["Natives of Middlesex", "Middlesex", "County of Middlesex", "Middlesex, England", "Coat of arms of Middlesex", "List of Middlesex boundary changes", "Middx", "County town of Middlesex"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Steven Hendry\", \"Stephen Gordon Hendry\", \"Stephen Hendry\", \"The Golden Bairn\", \"The Wonder Bairn\", \"Stephen Gordon Hendry MBE\", \"STEPHEN HENDRY\", \"Stephen Gordon Hendry, MBE\"]",
"[\"Natives of Middlesex\", \"Middlesex\", \"County of Middlesex\", \"Middlesex, England\", \"Coat of arms of Middlesex\", \"List of Middlesex boundary changes\", \"Middx\", \"County town of Middlesex\"]"
] |
[
"Who was snooker World Champion in 1990, 92, 93, 94, 95, 96 & 99?",
"England cricketer Denis Compton played for which county club?"
] | 2
|
[
125022,
125023
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Who became president of Egypt following the assassination of Anwar El Sadat in 1981?\nQuestion 2: In the 2010 movie Devil, a group of people each with their own secret are trapped in what location?",
"role": "user"
}
] |
["President Mubarak", "\u062d\u0633\u0646\u064a \u0645\u0628\u0627\u0631\u0643", "Resignation of Hosni Mubarak", "Mohamed Hosny Mubarak", "Mubarak", "Mohammed Hosni Sayyed Mubarak", "Hosni mobarak", "Mohammed Hosni Moubarak", "Hosni Mubarak resignation", "Mu\u1e25ammad \u1e24usn\u012b Sayyid Mub\u0101rak", "\u0645\u0628\u0627\u0631\u0643", "M. Hosni Mubarak", "Mohammed Hosni Mubarak", "Housni Mubarak", "Muhammad Hosni Mubarak", "Muhammad Hosni El Sayed Mubarak", "Muhammad Hosni Sayyid Mubarak", "Hosni mubarak", "\u0645\u062d\u0645\u062f \u062d\u0633\u0646\u0649 \u0633\u064a\u062f \u0645\u0628\u0627\u0631\u0643", "Mubarak regime", "Husni Mubarak", "Hosni Mubarak", "Muhammed Hosni Mubarak", "Hosni Mubarek", "Hoshi mubarak", "Hosni Moubarak", "Muhammad Husni Mubarak", "Hosny Mubarak", "\u1e24usn\u012b Mub\u0101rak", "\u0645\u062d\u0645\u062f \u062d\u0633\u0646\u064a \u0645\u0628\u0627\u0631\u0643", "Husni mubarak", "Mu\u1e25ammad \u1e24usn\u012b Mub\u0101rak", "M. Hosny Mubarak", "Muhammad Husni Sayyid Mubarak", "Hosni Mobarak", "Hosni El Sayed Mubarak", "Muhammad Hosni Said Mubarak", "Mohammad Hosni Mubarak"]; ["ISO 22559", "Elevator car", "Home elevators", "Smart elevators", "Elevator", "Elevator cab", "Lift shaft", "Hoistway", "Residential elevator", "Home elevator", "Screw-drive elevator", "Elevator controls", "Express elevator", "Destination control system", "Elevator (machinery)", "Elevator alarm", "Freight elevator", "Elevating machines", "Elevator control", "Automatic elevator", "Elevator button", "Elevator buttons", "Lift (elevator)", "Lift lobby", "Elevators", "Elavator", "Hydraulic elevator", "Elevator shaft", "Stage lift"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"President Mubarak\", \"\\u062d\\u0633\\u0646\\u064a \\u0645\\u0628\\u0627\\u0631\\u0643\", \"Resignation of Hosni Mubarak\", \"Mohamed Hosny Mubarak\", \"Mubarak\", \"Mohammed Hosni Sayyed Mubarak\", \"Hosni mobarak\", \"Mohammed Hosni Moubarak\", \"Hosni Mubarak resignation\", \"Mu\\u1e25ammad \\u1e24usn\\u012b Sayyid Mub\\u0101rak\", \"\\u0645\\u0628\\u0627\\u0631\\u0643\", \"M. Hosni Mubarak\", \"Mohammed Hosni Mubarak\", \"Housni Mubarak\", \"Muhammad Hosni Mubarak\", \"Muhammad Hosni El Sayed Mubarak\", \"Muhammad Hosni Sayyid Mubarak\", \"Hosni mubarak\", \"\\u0645\\u062d\\u0645\\u062f \\u062d\\u0633\\u0646\\u0649 \\u0633\\u064a\\u062f \\u0645\\u0628\\u0627\\u0631\\u0643\", \"Mubarak regime\", \"Husni Mubarak\", \"Hosni Mubarak\", \"Muhammed Hosni Mubarak\", \"Hosni Mubarek\", \"Hoshi mubarak\", \"Hosni Moubarak\", \"Muhammad Husni Mubarak\", \"Hosny Mubarak\", \"\\u1e24usn\\u012b Mub\\u0101rak\", \"\\u0645\\u062d\\u0645\\u062f \\u062d\\u0633\\u0646\\u064a \\u0645\\u0628\\u0627\\u0631\\u0643\", \"Husni mubarak\", \"Mu\\u1e25ammad \\u1e24usn\\u012b Mub\\u0101rak\", \"M. Hosny Mubarak\", \"Muhammad Husni Sayyid Mubarak\", \"Hosni Mobarak\", \"Hosni El Sayed Mubarak\", \"Muhammad Hosni Said Mubarak\", \"Mohammad Hosni Mubarak\"]",
"[\"ISO 22559\", \"Elevator car\", \"Home elevators\", \"Smart elevators\", \"Elevator\", \"Elevator cab\", \"Lift shaft\", \"Hoistway\", \"Residential elevator\", \"Home elevator\", \"Screw-drive elevator\", \"Elevator controls\", \"Express elevator\", \"Destination control system\", \"Elevator (machinery)\", \"Elevator alarm\", \"Freight elevator\", \"Elevating machines\", \"Elevator control\", \"Automatic elevator\", \"Elevator button\", \"Elevator buttons\", \"Lift (elevator)\", \"Lift lobby\", \"Elevators\", \"Elavator\", \"Hydraulic elevator\", \"Elevator shaft\", \"Stage lift\"]"
] |
[
"Who became president of Egypt following the assassination of Anwar El Sadat in 1981?",
"In the 2010 movie Devil, a group of people each with their own secret are trapped in what location?"
] | 2
|
[
89242,
89243
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Who is the central character in the film series 'The Hunger Games?\nQuestion 2: The Laughing Song comes from which Johann Strauss operetta?",
"role": "user"
}
] |
["Catniss Everdeen", "Everdeen", "Katniss Everdeen"]; ["The Flittermaus", "Fledermaus", "Deflatermouse", "Die Fledermaus", "Die Fleidermaus", "Die Fliedermaus", "The Flying-Mouse", "Die fledermaus"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Catniss Everdeen\", \"Everdeen\", \"Katniss Everdeen\"]",
"[\"The Flittermaus\", \"Fledermaus\", \"Deflatermouse\", \"Die Fledermaus\", \"Die Fleidermaus\", \"Die Fliedermaus\", \"The Flying-Mouse\", \"Die fledermaus\"]"
] |
[
"Who is the central character in the film series 'The Hunger Games?",
"The Laughing Song comes from which Johann Strauss operetta?"
] | 2
|
[
49560,
49561
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: In geometry a lozenge is alternatively called (What?)-shaped?\nQuestion 2: Which 2009 animated film features a floating house suspended by helium balloons?",
"role": "user"
}
] |
["Diamond", "4-C's of Diamond Grading", "The 4 C's Of Diamonds", "Polished diamond", "Diamonds", "Natural diamond", "Diamond industry", "Mitre-crozier applique", "Diamond powder", "Bortz", "Industrial diamonds", "Type-II diamond", "Daimonds", "Mitre-crozier appliqu\u00e9", "Impact diamonds", "Diamonad", "Industrial diamond", "Industrial Diamond"]; ["Up.", "Up! (film)", "Up", "U.p.", "Up (Album)", "Up (album)", "UP", "U P", "Up! (single)", "UP (initialism)", "UP (disambiguation)", "Up (film)", "Up! (song)", "UP (album)", "Up!", "Up (disambiguation)", "Up (song)", "UP!", "Upwards"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Diamond\", \"4-C's of Diamond Grading\", \"The 4 C's Of Diamonds\", \"Polished diamond\", \"Diamonds\", \"Natural diamond\", \"Diamond industry\", \"Mitre-crozier applique\", \"Diamond powder\", \"Bortz\", \"Industrial diamonds\", \"Type-II diamond\", \"Daimonds\", \"Mitre-crozier appliqu\\u00e9\", \"Impact diamonds\", \"Diamonad\", \"Industrial diamond\", \"Industrial Diamond\"]",
"[\"Up.\", \"Up! (film)\", \"Up\", \"U.p.\", \"Up (Album)\", \"Up (album)\", \"UP\", \"U P\", \"Up! (single)\", \"UP (initialism)\", \"UP (disambiguation)\", \"Up (film)\", \"Up! (song)\", \"UP (album)\", \"Up!\", \"Up (disambiguation)\", \"Up (song)\", \"UP!\", \"Upwards\"]"
] |
[
"In geometry a lozenge is alternatively called (What?)-shaped?",
"Which 2009 animated film features a floating house suspended by helium balloons?"
] | 2
|
[
54210,
54211
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Until and including the birth of her twins in July 2008, how many children, including adopted children, did Angelina Jolie and Brad Pitt have?\nQuestion 2: Swiss National Day is celebrated during which month of the year?",
"role": "user"
}
] |
["six", "6"]; ["Ogos", "August", "\u32c7", "Auggust", "Augest", "Aug."]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"six\", \"6\"]",
"[\"Ogos\", \"August\", \"\\u32c7\", \"Auggust\", \"Augest\", \"Aug.\"]"
] |
[
"Until and including the birth of her twins in July 2008, how many children, including adopted children, did Angelina Jolie and Brad Pitt have?",
"Swiss National Day is celebrated during which month of the year?"
] | 2
|
[
31454,
31455
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: In which TV soap is there a garage called the Arches?\nQuestion 2: Which British scientist discovered benzene?",
"role": "user"
}
] |
["Trivia on EastEnders", "London E20 (EastEnders)", "List of EastEnders episodes (1985)", "East+enders", "Storylines of EastEnders (1980s)", "Storylines of Eastenders", "BBC Eastenders", "Easties", "EastEnders", "Storylines of EastEnders (1990s)", "Storylines of EastEnders", "Walford Gazette", "The Walford Gazette", "'stenders", "EastEnders omnibus", "EastEnders off set episodes", "The Eastenders", "East enders", "Eastenders", "Storylines of EastEnders (2000s)", "EastEnders Omnibus", "East Enders", "EastEnders episodes"]; ["Michael Faraday", "Michael farraday", "M. Faraday", "Michael Farady", "Faradic", "MICHAEL FARADAY", "Michael Farraday", "Faradayan", "Faraday death", "Micheal Faraday"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Trivia on EastEnders\", \"London E20 (EastEnders)\", \"List of EastEnders episodes (1985)\", \"East+enders\", \"Storylines of EastEnders (1980s)\", \"Storylines of Eastenders\", \"BBC Eastenders\", \"Easties\", \"EastEnders\", \"Storylines of EastEnders (1990s)\", \"Storylines of EastEnders\", \"Walford Gazette\", \"The Walford Gazette\", \"'stenders\", \"EastEnders omnibus\", \"EastEnders off set episodes\", \"The Eastenders\", \"East enders\", \"Eastenders\", \"Storylines of EastEnders (2000s)\", \"EastEnders Omnibus\", \"East Enders\", \"EastEnders episodes\"]",
"[\"Michael Faraday\", \"Michael farraday\", \"M. Faraday\", \"Michael Farady\", \"Faradic\", \"MICHAEL FARADAY\", \"Michael Farraday\", \"Faradayan\", \"Faraday death\", \"Micheal Faraday\"]"
] |
[
"In which TV soap is there a garage called the Arches?",
"Which British scientist discovered benzene?"
] | 2
|
[
37770,
37771
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Who was the last British tennis player to win the men's singles at Wimbledon?\nQuestion 2: What has uniquely happened twice at Estadio Azteca in Mexico City (1970 and 1986)?",
"role": "user"
}
] |
["FRED PERRY", "Fred Perry", "Fred J. Perry", "Frederick John Perry"]; ["List of World Cup finals (disambiguation)", "List of World Cup finals", "World Cup Final"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"FRED PERRY\", \"Fred Perry\", \"Fred J. Perry\", \"Frederick John Perry\"]",
"[\"List of World Cup finals (disambiguation)\", \"List of World Cup finals\", \"World Cup Final\"]"
] |
[
"Who was the last British tennis player to win the men's singles at Wimbledon?",
"What has uniquely happened twice at Estadio Azteca in Mexico City (1970 and 1986)?"
] | 2
|
[
81932,
81933
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: In Afrikaans, which city is called Kapstad?\nQuestion 2: Used in place of a net, what is the name for the pole with a sharp hook on the end of it used to boat large fish?",
"role": "user"
}
] |
["Tavern of the Seas", "City of Cape Town, Western Cape", "Tavern of the seas", "The tavern of the seas", "Capetonian", "Cape Town cricket ground", "The mother city", "Capetown", "CapeTownMagazine.com", "UN/LOCODE:ZACPT", "Demographics of Cape Town", "IKapa", "Cape Town", "Kaapstad", "Capetown, South Africa", "Cape town", "CapeTown", "Greater Cape Town", "Cape Town, South Africa", "Cape Town, Western Cape"]; ["Gaff (disambiguation)", "Gaff"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Tavern of the Seas\", \"City of Cape Town, Western Cape\", \"Tavern of the seas\", \"The tavern of the seas\", \"Capetonian\", \"Cape Town cricket ground\", \"The mother city\", \"Capetown\", \"CapeTownMagazine.com\", \"UN/LOCODE:ZACPT\", \"Demographics of Cape Town\", \"IKapa\", \"Cape Town\", \"Kaapstad\", \"Capetown, South Africa\", \"Cape town\", \"CapeTown\", \"Greater Cape Town\", \"Cape Town, South Africa\", \"Cape Town, Western Cape\"]",
"[\"Gaff (disambiguation)\", \"Gaff\"]"
] |
[
"In Afrikaans, which city is called Kapstad?",
"Used in place of a net, what is the name for the pole with a sharp hook on the end of it used to boat large fish?"
] | 2
|
[
93940,
93941
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: The Sunda Trench is the deepest part of which ocean?\nQuestion 2: Who composed the Scottish and Italian Symphonies?",
"role": "user"
}
] |
["India Ocean", "Indian Sea", "Southern Indian Ocean", "North Indian Ocean", "Indian ocean", "Asian Ocean", "The Indian Ocean", "Indian Ocean"]; ["Jacob Ludwig Felix Mendelssohn Bartholdy", "Mendelssohn-Bartholdy", "Felix Mendelssohn Bartholdy", "Mendelsson Bartholdy", "Mendelson", "Mendellson", "Felix Mendelsohn-Bartoldy", "Felix Mendelssohn-Bartholdy", "Jakob Ludwig Felix Mendelssohn-Bartholdy", "Mendelssohnian", "Mendelsson", "Felix mandelssohn-bartholdy", "Felix Mendelssohn Bartoldy", "Ludwig Felix Mendelssohn Bartholdy", "Felix Mendelson", "Mendelssohn Bartholdy", "Jakob Ludwig Felix Mendelssohn Bartholdy", "Mendelssohn", "Felix Mendelsohn", "Felix Mendelssohn"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"India Ocean\", \"Indian Sea\", \"Southern Indian Ocean\", \"North Indian Ocean\", \"Indian ocean\", \"Asian Ocean\", \"The Indian Ocean\", \"Indian Ocean\"]",
"[\"Jacob Ludwig Felix Mendelssohn Bartholdy\", \"Mendelssohn-Bartholdy\", \"Felix Mendelssohn Bartholdy\", \"Mendelsson Bartholdy\", \"Mendelson\", \"Mendellson\", \"Felix Mendelsohn-Bartoldy\", \"Felix Mendelssohn-Bartholdy\", \"Jakob Ludwig Felix Mendelssohn-Bartholdy\", \"Mendelssohnian\", \"Mendelsson\", \"Felix mandelssohn-bartholdy\", \"Felix Mendelssohn Bartoldy\", \"Ludwig Felix Mendelssohn Bartholdy\", \"Felix Mendelson\", \"Mendelssohn Bartholdy\", \"Jakob Ludwig Felix Mendelssohn Bartholdy\", \"Mendelssohn\", \"Felix Mendelsohn\", \"Felix Mendelssohn\"]"
] |
[
"The Sunda Trench is the deepest part of which ocean?",
"Who composed the Scottish and Italian Symphonies?"
] | 2
|
[
16440,
16441
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Who was the Tory Prime Minister of Great Britain from 1783 to 1801?\nQuestion 2: What is a polygraph test more commonly known as?",
"role": "user"
}
] |
["William Pitt the Younger", "William Pitt the younger", "William Pitt, Jr.", "William Pitt, The Younger", "Pitt the Younger", "Mince-pie administration", "William Pitt, the Younger", "William, the Younger Pitt", "WILLIAM PITT (The Younger)", "William Pitt The Younger", "William Pitt (the younger)", "William Pitt jr.", "Pitt the younger"]; ["Lie detector test", "Lie detection", "Lie Detector Test"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"William Pitt the Younger\", \"William Pitt the younger\", \"William Pitt, Jr.\", \"William Pitt, The Younger\", \"Pitt the Younger\", \"Mince-pie administration\", \"William Pitt, the Younger\", \"William, the Younger Pitt\", \"WILLIAM PITT (The Younger)\", \"William Pitt The Younger\", \"William Pitt (the younger)\", \"William Pitt jr.\", \"Pitt the younger\"]",
"[\"Lie detector test\", \"Lie detection\", \"Lie Detector Test\"]"
] |
[
"Who was the Tory Prime Minister of Great Britain from 1783 to 1801?",
"What is a polygraph test more commonly known as?"
] | 2
|
[
27614,
27615
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: A series of political protests against the government in Thailand in 2010 were organised by a group calling themselves what?\nQuestion 2: Barry Humphries plays Dame Edna Everage, but which character does he plays as the Australian Cultural Attache?",
"role": "user"
}
] |
["Red Shirts", "Redshirting", "Red Shirt Movement", "Camicie rosse", "Redshirt", "Red Shirt", "Redshirts", "Redshirt (disambiguation)", "Red-shirt", "Red shirt", "Red shirts", "Camicie Rosse"]; ["Sir Les Paterson", "Les Patterson", "Les paterson", "Sir Les Patterson"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Red Shirts\", \"Redshirting\", \"Red Shirt Movement\", \"Camicie rosse\", \"Redshirt\", \"Red Shirt\", \"Redshirts\", \"Redshirt (disambiguation)\", \"Red-shirt\", \"Red shirt\", \"Red shirts\", \"Camicie Rosse\"]",
"[\"Sir Les Paterson\", \"Les Patterson\", \"Les paterson\", \"Sir Les Patterson\"]"
] |
[
"A series of political protests against the government in Thailand in 2010 were organised by a group calling themselves what?",
"Barry Humphries plays Dame Edna Everage, but which character does he plays as the Australian Cultural Attache?"
] | 2
|
[
5028,
5029
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: In what year did the National Lottery begin in Britain?\nQuestion 2: What seven letter name is given to the cold, dry Northerly wind that blows on the Mediterranean Coast of France, particularly concentrated on the Rhone Valley ?",
"role": "user"
}
] |
["one thousand, nine hundred and ninety-four", "1994"]; ["Mistral (missile)", "Sadral", "MBDA Mistral", "MISTRAL", "Simbad missile", "Mistral missile"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"one thousand, nine hundred and ninety-four\", \"1994\"]",
"[\"Mistral (missile)\", \"Sadral\", \"MBDA Mistral\", \"MISTRAL\", \"Simbad missile\", \"Mistral missile\"]"
] |
[
"In what year did the National Lottery begin in Britain?",
"What seven letter name is given to the cold, dry Northerly wind that blows on the Mediterranean Coast of France, particularly concentrated on the Rhone Valley ?"
] | 2
|
[
125162,
125163
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: For what does the P stand in the name of the body, the PRA, which is responsible for the regulation of banks and building societies in the UK?\nQuestion 2: All of the gold medals at the 2009 World Rhythmic Gymnastics Championships were won by Evgenia Kanaeva, who was representing which country?",
"role": "user"
}
] |
["Prudential (disambiguation)", "Prudential Life Insurance building", "Prudential", "Prudential Life Building", "Prudential realty", "Prudential real estate"]; ["Russia (1991-1993)", "\u041e\u0440\u043e\u0441\u044b\u043d \u0425\u043e\u043b\u0431\u043e\u043e\u043d\u044b \u0423\u043b\u0441", "Etymology of Russia", "The Russian federation", "\u0420\u04d9\u0441\u04d9\u0439", "ISO 3166-1:RU", "Russia (1990-1993)", "\u0420\u0435\u0441\u0435\u0439", "Novaya russia", "\u0420\u043e\u0441\u0441\u0438\u0301\u044f", "\u0420\u0430\u04ab\u04ab\u0435\u0439", "\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f", "Poccnr", "\u0420\u043e\u0441\u0456\u044f", "\u041e\u0440\u043e\u0434\u043e\u0439 \u0425\u043e\u043b\u0431\u043e\u043e\u043d\u043e\u0439 \u0423\u043b\u0430\u0441", "\u0420\u043e\u0441\u0441\u0438\u0438", "The Russian Federation", "Russsia", "Russian (citizen)", "\u0420\u043e\u0441\u0441\u0438\u0301\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0301\u0446\u0438\u044f", "\u0423\u0440\u044b\u0441\u0435\u0439", "\u0410\u0440\u0430\u0441\u0441\u044b\u044b\u0439\u0430", "Rossiyskaya Federatsiya", "\u041e\u044c\u0440\u0441\u0438\u0439\u043d \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u0439", "Russian-born", "\u0410\u044c\u0440\u0430\u0441\u0430\u0442", "Russia (Federation)", "POCCNR", "Northern Russia", "Federation of Russia", "Russia (country)", "\u0420\u043e\u0447\u043c\u0443", "\u0420\u0435\u0441\u0435\u0439 \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f\u0441\u044b", "Venaja", "\u0420\u0443\u0441\u0438\u044f", "\u0423\u0440\u044b\u0441\u0442\u04d9\u044b\u043b\u0430", "Resey", "\u0420\u043e\u0441\u0441\u0438\u044f", "Wildlife of Russia", "The Country Russia", "\u0423\u00e6\u0440\u00e6\u0441\u0435", "Venaejae", "Russian federation", "Russie", "Russia", "Rossijskaja Federatsija", "RUSSIA", "Ryssland", "Russian Federation", "Russiya", "\u0420\u0443\u0441\u0438\u0458\u0430", "RusSia", "\u041e\u0440\u0441\u0438\u043d \u041d\u0438\u0438\u0446\u04d9\u043d", "Russland", "\u0420\u0443\u0437\u043c\u0430\u0441\u0442\u043e\u0440", "RussiA"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Prudential (disambiguation)\", \"Prudential Life Insurance building\", \"Prudential\", \"Prudential Life Building\", \"Prudential realty\", \"Prudential real estate\"]",
"[\"Russia (1991-1993)\", \"\\u041e\\u0440\\u043e\\u0441\\u044b\\u043d \\u0425\\u043e\\u043b\\u0431\\u043e\\u043e\\u043d\\u044b \\u0423\\u043b\\u0441\", \"Etymology of Russia\", \"The Russian federation\", \"\\u0420\\u04d9\\u0441\\u04d9\\u0439\", \"ISO 3166-1:RU\", \"Russia (1990-1993)\", \"\\u0420\\u0435\\u0441\\u0435\\u0439\", \"Novaya russia\", \"\\u0420\\u043e\\u0441\\u0441\\u0438\\u0301\\u044f\", \"\\u0420\\u0430\\u04ab\\u04ab\\u0435\\u0439\", \"\\u0420\\u043e\\u0441\\u0441\\u0438\\u0439\\u0441\\u043a\\u0430\\u044f \\u0424\\u0435\\u0434\\u0435\\u0440\\u0430\\u0446\\u0438\\u044f\", \"Poccnr\", \"\\u0420\\u043e\\u0441\\u0456\\u044f\", \"\\u041e\\u0440\\u043e\\u0434\\u043e\\u0439 \\u0425\\u043e\\u043b\\u0431\\u043e\\u043e\\u043d\\u043e\\u0439 \\u0423\\u043b\\u0430\\u0441\", \"\\u0420\\u043e\\u0441\\u0441\\u0438\\u0438\", \"The Russian Federation\", \"Russsia\", \"Russian (citizen)\", \"\\u0420\\u043e\\u0441\\u0441\\u0438\\u0301\\u0439\\u0441\\u043a\\u0430\\u044f \\u0424\\u0435\\u0434\\u0435\\u0440\\u0430\\u0301\\u0446\\u0438\\u044f\", \"\\u0423\\u0440\\u044b\\u0441\\u0435\\u0439\", \"\\u0410\\u0440\\u0430\\u0441\\u0441\\u044b\\u044b\\u0439\\u0430\", \"Rossiyskaya Federatsiya\", \"\\u041e\\u044c\\u0440\\u0441\\u0438\\u0439\\u043d \\u0424\\u0435\\u0434\\u0435\\u0440\\u0430\\u0446\\u0438\\u0439\", \"Russian-born\", \"\\u0410\\u044c\\u0440\\u0430\\u0441\\u0430\\u0442\", \"Russia (Federation)\", \"POCCNR\", \"Northern Russia\", \"Federation of Russia\", \"Russia (country)\", \"\\u0420\\u043e\\u0447\\u043c\\u0443\", \"\\u0420\\u0435\\u0441\\u0435\\u0439 \\u0424\\u0435\\u0434\\u0435\\u0440\\u0430\\u0446\\u0438\\u044f\\u0441\\u044b\", \"Venaja\", \"\\u0420\\u0443\\u0441\\u0438\\u044f\", \"\\u0423\\u0440\\u044b\\u0441\\u0442\\u04d9\\u044b\\u043b\\u0430\", \"Resey\", \"\\u0420\\u043e\\u0441\\u0441\\u0438\\u044f\", \"Wildlife of Russia\", \"The Country Russia\", \"\\u0423\\u00e6\\u0440\\u00e6\\u0441\\u0435\", \"Venaejae\", \"Russian federation\", \"Russie\", \"Russia\", \"Rossijskaja Federatsija\", \"RUSSIA\", \"Ryssland\", \"Russian Federation\", \"Russiya\", \"\\u0420\\u0443\\u0441\\u0438\\u0458\\u0430\", \"RusSia\", \"\\u041e\\u0440\\u0441\\u0438\\u043d \\u041d\\u0438\\u0438\\u0446\\u04d9\\u043d\", \"Russland\", \"\\u0420\\u0443\\u0437\\u043c\\u0430\\u0441\\u0442\\u043e\\u0440\", \"RussiA\"]"
] |
[
"For what does the P stand in the name of the body, the PRA, which is responsible for the regulation of banks and building societies in the UK?",
"All of the gold medals at the 2009 World Rhythmic Gymnastics Championships were won by Evgenia Kanaeva, who was representing which country?"
] | 2
|
[
118528,
118529
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Which Swindon pop group were 'Making Plans for Nigel' in 1979?\nQuestion 2: In a coup in 2006, who seized power in Fiji?",
"role": "user"
}
] |
["5 Senses (album)", "Terry and the Lovemen", "5 Senses (EP)", "5 Senses EP", "3D - EP", "BBC Radio 1 Live in Concert (XTC album)", "Xtc", "3D EP", "XTC", "3D \u2013 EP", "XTC (band)"]; ["Voreqe Bainimarama", "Bainimarama", "Frank Bananarama", "Voreqe (Frank) Bainimarama", "Commodore Josaia Voreqe Bainimarama", "Josaia Vorege Bainimarama", "Bainamarama", "Josaia Voreqe Bainimarama", "Frank Bainimarama", "Voreqe Bainamarama"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"5 Senses (album)\", \"Terry and the Lovemen\", \"5 Senses (EP)\", \"5 Senses EP\", \"3D - EP\", \"BBC Radio 1 Live in Concert (XTC album)\", \"Xtc\", \"3D EP\", \"XTC\", \"3D \\u2013 EP\", \"XTC (band)\"]",
"[\"Voreqe Bainimarama\", \"Bainimarama\", \"Frank Bananarama\", \"Voreqe (Frank) Bainimarama\", \"Commodore Josaia Voreqe Bainimarama\", \"Josaia Vorege Bainimarama\", \"Bainamarama\", \"Josaia Voreqe Bainimarama\", \"Frank Bainimarama\", \"Voreqe Bainamarama\"]"
] |
[
"Which Swindon pop group were 'Making Plans for Nigel' in 1979?",
"In a coup in 2006, who seized power in Fiji?"
] | 2
|
[
438,
439
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What is a soldier or airman assigned to a commissioned officer as a personal servant called?\nQuestion 2: Elizabeth Richardson (1921-27), Pauline Pfeiffer (1927-40), Martha Gellhorn (1940-45) and Mary Welsh (1946-61) were all wives of which American writer?",
"role": "user"
}
] |
["BatMan", "Batman: War on Crime", "Bat-man", "The Bat-Man", "Fictional history of Batman", "Bruce Wayne / Batman", "Bat-Embargo", "Batmarine", "History of Batman", "Brucewayne", "The Caped Crusader", "Batman/Bruce Wayne", "Batman", "Batsy", "Bruce Wayne (Batman)", "Bat man", "Skills and abilities of Batman", "Bat-Man", "The Bat-man", "New Look Batman", "Batman (Bruce Wayne)", "Matches Malone", "Silver Age Batman", "Batman (DC Comics)", "Bruno Diaz", "The bat-man", "Batman (comics)", "Bat Man", "Bruce Wayne", "Golden Age Batman", "Batdude", "Na na na na na na na na", "Batman Emblem", "THE BAT-MAN", "Skills, abilities, resources and equipment of Batman", "THE BATMAN", "Caped Crusader", "BAT-MAN", "Batman / Bruce Wayne", "The batman", "Batman emblem", "The Batman Handbook: The Ultimate Training Manual"]; ["Famous at Twenty-Five Thirty a Master", "E. M. Hemmingway", "From Boy to Man Hemingways First World War", "Clarence Edmonds Hemingway", "ErnestHemingway/TheDownwardSpiral", "Earnest Hemmingway", "Ernest Heminway", "ErnestHemingway/ViolenceandRedemption", "Ernest M. Hemingway", "Ernest Hemingway/The Downward Spiral", "Hemingway ernest", "From Reality to Fiction A Farewell to Arms", "ErnestHemingway/FromRealitytoFictionAFarewelltoArms", "ErnestHemingway/TheTimeinBetween", "ErnestHemingway", "ErnestHemingway/BibliographY", "E. M. Hemingway", "Ernest Hemingway", "ErnestHemingway/SureShotsTheSecondWorldWar", "Sure Shots The Second World War", "Ernest Hemingway/Violence and Redemption", "Ernest Hemingway/The Time in Between", "Ernest Hemingway/Bibliography", "Hemingway, Ernest", "ErnestHemingway/FamousatTwentyFiveThirtyaMaster", "Things Turn Sour", "Ernesthemingway", "Ernest Hemingway/Famous at Twenty-Five Thirty a Master", "Ernest Hemmingway", "ErnestHemingway/FromBoytoManHemingwaysFirstWorldWar", "Ernest Miller Hemmingway", "Hemingwayesque", "E. Hemmingway", "E. Hemingway", "Why It Went Wrong", "Violence and Redemption", "ErnestHemingway/TheEndlessDarkNothingness", "The Endless Dark Nothingness", "Ernest Hemingway/Things Turn Sour", "Ernest Hemingway/Young and Innocent", "Ernest M. Hemmingway", "Hemmingway", "ErnestHemingway/YoungandInnocent", "ErnestHemingway/ThingsTurnSour", "Ernest Hemingway/The Endless Dark Nothingness", "Ernest Hemingway/From Boy to Man Hemingways First World War", "Hemingway", "Ernest Hemingway/Sure Shots The Second World War", "Ernest Hemingway/From Reality to Fiction A Farewell to Arms", "ErnestHemingway/WhyItWentWrong", "Ernest Miller Hemingway", "Ernest Hemingway/Why It Went Wrong", "Hemingwayan"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"BatMan\", \"Batman: War on Crime\", \"Bat-man\", \"The Bat-Man\", \"Fictional history of Batman\", \"Bruce Wayne / Batman\", \"Bat-Embargo\", \"Batmarine\", \"History of Batman\", \"Brucewayne\", \"The Caped Crusader\", \"Batman/Bruce Wayne\", \"Batman\", \"Batsy\", \"Bruce Wayne (Batman)\", \"Bat man\", \"Skills and abilities of Batman\", \"Bat-Man\", \"The Bat-man\", \"New Look Batman\", \"Batman (Bruce Wayne)\", \"Matches Malone\", \"Silver Age Batman\", \"Batman (DC Comics)\", \"Bruno Diaz\", \"The bat-man\", \"Batman (comics)\", \"Bat Man\", \"Bruce Wayne\", \"Golden Age Batman\", \"Batdude\", \"Na na na na na na na na\", \"Batman Emblem\", \"THE BAT-MAN\", \"Skills, abilities, resources and equipment of Batman\", \"THE BATMAN\", \"Caped Crusader\", \"BAT-MAN\", \"Batman / Bruce Wayne\", \"The batman\", \"Batman emblem\", \"The Batman Handbook: The Ultimate Training Manual\"]",
"[\"Famous at Twenty-Five Thirty a Master\", \"E. M. Hemmingway\", \"From Boy to Man Hemingways First World War\", \"Clarence Edmonds Hemingway\", \"ErnestHemingway/TheDownwardSpiral\", \"Earnest Hemmingway\", \"Ernest Heminway\", \"ErnestHemingway/ViolenceandRedemption\", \"Ernest M. Hemingway\", \"Ernest Hemingway/The Downward Spiral\", \"Hemingway ernest\", \"From Reality to Fiction A Farewell to Arms\", \"ErnestHemingway/FromRealitytoFictionAFarewelltoArms\", \"ErnestHemingway/TheTimeinBetween\", \"ErnestHemingway\", \"ErnestHemingway/BibliographY\", \"E. M. Hemingway\", \"Ernest Hemingway\", \"ErnestHemingway/SureShotsTheSecondWorldWar\", \"Sure Shots The Second World War\", \"Ernest Hemingway/Violence and Redemption\", \"Ernest Hemingway/The Time in Between\", \"Ernest Hemingway/Bibliography\", \"Hemingway, Ernest\", \"ErnestHemingway/FamousatTwentyFiveThirtyaMaster\", \"Things Turn Sour\", \"Ernesthemingway\", \"Ernest Hemingway/Famous at Twenty-Five Thirty a Master\", \"Ernest Hemmingway\", \"ErnestHemingway/FromBoytoManHemingwaysFirstWorldWar\", \"Ernest Miller Hemmingway\", \"Hemingwayesque\", \"E. Hemmingway\", \"E. Hemingway\", \"Why It Went Wrong\", \"Violence and Redemption\", \"ErnestHemingway/TheEndlessDarkNothingness\", \"The Endless Dark Nothingness\", \"Ernest Hemingway/Things Turn Sour\", \"Ernest Hemingway/Young and Innocent\", \"Ernest M. Hemmingway\", \"Hemmingway\", \"ErnestHemingway/YoungandInnocent\", \"ErnestHemingway/ThingsTurnSour\", \"Ernest Hemingway/The Endless Dark Nothingness\", \"Ernest Hemingway/From Boy to Man Hemingways First World War\", \"Hemingway\", \"Ernest Hemingway/Sure Shots The Second World War\", \"Ernest Hemingway/From Reality to Fiction A Farewell to Arms\", \"ErnestHemingway/WhyItWentWrong\", \"Ernest Miller Hemingway\", \"Ernest Hemingway/Why It Went Wrong\", \"Hemingwayan\"]"
] |
[
"What is a soldier or airman assigned to a commissioned officer as a personal servant called?",
"Elizabeth Richardson (1921-27), Pauline Pfeiffer (1927-40), Martha Gellhorn (1940-45) and Mary Welsh (1946-61) were all wives of which American writer?"
] | 2
|
[
47582,
47583
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: The Stratocaster and Telecaster guitars are manufactured by which company?\nQuestion 2: In which Northern Ireland county is the Giant's Causeway?",
"role": "user"
}
] |
["Fenders", "Fender", "Fender (disambiguation)"]; ["County Antrim, Ireland", "North Antrim Coast", "Co. Antrim", "Co Antrim", "Antrim, Ireland", "County of Antrim", "List of people from County Antrim", "County antrim", "History of County Antrim", "County Antrim", "Antrim Plateau"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Fenders\", \"Fender\", \"Fender (disambiguation)\"]",
"[\"County Antrim, Ireland\", \"North Antrim Coast\", \"Co. Antrim\", \"Co Antrim\", \"Antrim, Ireland\", \"County of Antrim\", \"List of people from County Antrim\", \"County antrim\", \"History of County Antrim\", \"County Antrim\", \"Antrim Plateau\"]"
] |
[
"The Stratocaster and Telecaster guitars are manufactured by which company?",
"In which Northern Ireland county is the Giant's Causeway?"
] | 2
|
[
93734,
93735
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What is the more common name for the gnu\nQuestion 2: \"The military action popularly known as \"\"The Charge of the Light Brigade\"\" took place in which war?\"",
"role": "user"
}
] |
["Wilderbeast", "Connochaetes", "Gnu", "Connochaetes taurinus albojubatus", "Wildebeests", "Wildebeest", "Wilderbeest", "Wildebeast", "Wilde beast", "Wilde beest", "Wildebeeste", "Connochaetes gnu"]; ["Russo-Turkish War, 1853-56", "War of Crimea", "Crimean expedition", "Crimea War", "Crimean war", "Crimean War", "Crimean struggle", "Paris Peace Conference, 1856", "Baltic Campaign of 1854", "Crimean War (1853)", "Cremean War", "Eastern War", "Crim war", "Russian War", "The Crimean War", "Baltic theatre of the Crimean War", "Russo-Turkish War, 1853-1856", "Oriental War"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Wilderbeast\", \"Connochaetes\", \"Gnu\", \"Connochaetes taurinus albojubatus\", \"Wildebeests\", \"Wildebeest\", \"Wilderbeest\", \"Wildebeast\", \"Wilde beast\", \"Wilde beest\", \"Wildebeeste\", \"Connochaetes gnu\"]",
"[\"Russo-Turkish War, 1853-56\", \"War of Crimea\", \"Crimean expedition\", \"Crimea War\", \"Crimean war\", \"Crimean War\", \"Crimean struggle\", \"Paris Peace Conference, 1856\", \"Baltic Campaign of 1854\", \"Crimean War (1853)\", \"Cremean War\", \"Eastern War\", \"Crim war\", \"Russian War\", \"The Crimean War\", \"Baltic theatre of the Crimean War\", \"Russo-Turkish War, 1853-1856\", \"Oriental War\"]"
] |
[
"What is the more common name for the gnu",
"\"The military action popularly known as \"\"The Charge of the Light Brigade\"\" took place in which war?\""
] | 2
|
[
70842,
70843
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Which 1955 film was withdrawn from the Venice Film Festival when the US Ambassador to Italy, Clare Booth Luce, refused to attend because the film gave too alarming an impression of conditions in US schools?\nQuestion 2: Which country's national anthem is known in English as 'The March of the Volunteers'?",
"role": "user"
}
] |
["Blackboard Jungle", "The Blackboard Jungle (novel)", "The Blackboard Jungle"]; ["Chinese People's Republic", "China (Peking)", "The prc", "Socialist China", "Chinese PR", "PRoC", "PRC", "China's", "P. R. of China", "People's Republic Of China", "The People's Republic of China", "China", "Territorial disputes of China", "China PRC", "People's repuublic of china", "China (PRC)", "China (People's Republic)", "People's Republic of China (Mainland China)", "Zhonghua Renmin Gonghe Guo", "People' Republic of China", "Prc", "People's republic of china", "People' s Republic of China", "P.R. of China", "China, People's Republic of", "Chung-Kuo", "P.R.C.", "The people's republic of china", "Zhong Guo", "Peoples republic of China", "Red China (modern)", "Chung-kuo", "The PRC", "Zhonghuarenmingongheguo", "State of China", "Zhonghu\u00e1 r\u00e9nm\u00edn g\u00f2ngh\u00e9gu\u00f3", "\u4e2d\u56fd", "Peoples republic of china", "P.R.China", "People's Republic or China", "Zhonghua Renmin Gongheguo", "China, the People's Republic of", "Nation of China", "People\u2019s Republic of China", "China, PRC", "Zh\u014dnghu\u00e1 R\u00e9nm\u00edn G\u00f2ngh\u00e9gu\u00f3", "Modern day China", "Peoples Republic of China", "PROC", "\u4e2d\u534e", "Chaina", "Zhongguo", "Homes in china", "People's republic of China", "Zh\u014dnggu\u00f3", "Sinic", "China PR", "PRC (China)", "\u4e2d\u570b", "Jhonggu\u00f3", "Red Chinese", "(The People's Republic of) China", "The People\u2019s Republic of China", "China (Republic : 1949- )", "CHINA", "China People's Republic", "Pr china", "P.r. of china", "Chungkuo", "ISO 3166-1:CN", "Land of China", "Zhonghua renmin gongheguo", "P.R. China", "Zhonggu\u00f3", "\u4e2d\u534e\u4eba\u6c11\u5171\u548c\u56fd", "PRChina", "\u4e2d\u83ef", "PR of China", "\u4e2d\u83ef\u4eba\u6c11\u5171\u548c\u570b", "Pr of c", "Cihna", "Communist China (modern)", "P. R. China", "People's Republic of China (PRC)", "Peoples' Republic of China", "The Peoples Republic of China", "People's Republic of China", "Pr of china", "PR China", "P.R. of CHINA"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Blackboard Jungle\", \"The Blackboard Jungle (novel)\", \"The Blackboard Jungle\"]",
"[\"Chinese People's Republic\", \"China (Peking)\", \"The prc\", \"Socialist China\", \"Chinese PR\", \"PRoC\", \"PRC\", \"China's\", \"P. R. of China\", \"People's Republic Of China\", \"The People's Republic of China\", \"China\", \"Territorial disputes of China\", \"China PRC\", \"People's repuublic of china\", \"China (PRC)\", \"China (People's Republic)\", \"People's Republic of China (Mainland China)\", \"Zhonghua Renmin Gonghe Guo\", \"People' Republic of China\", \"Prc\", \"People's republic of china\", \"People' s Republic of China\", \"P.R. of China\", \"China, People's Republic of\", \"Chung-Kuo\", \"P.R.C.\", \"The people's republic of china\", \"Zhong Guo\", \"Peoples republic of China\", \"Red China (modern)\", \"Chung-kuo\", \"The PRC\", \"Zhonghuarenmingongheguo\", \"State of China\", \"Zhonghu\\u00e1 r\\u00e9nm\\u00edn g\\u00f2ngh\\u00e9gu\\u00f3\", \"\\u4e2d\\u56fd\", \"Peoples republic of china\", \"P.R.China\", \"People's Republic or China\", \"Zhonghua Renmin Gongheguo\", \"China, the People's Republic of\", \"Nation of China\", \"People\\u2019s Republic of China\", \"China, PRC\", \"Zh\\u014dnghu\\u00e1 R\\u00e9nm\\u00edn G\\u00f2ngh\\u00e9gu\\u00f3\", \"Modern day China\", \"Peoples Republic of China\", \"PROC\", \"\\u4e2d\\u534e\", \"Chaina\", \"Zhongguo\", \"Homes in china\", \"People's republic of China\", \"Zh\\u014dnggu\\u00f3\", \"Sinic\", \"China PR\", \"PRC (China)\", \"\\u4e2d\\u570b\", \"Jhonggu\\u00f3\", \"Red Chinese\", \"(The People's Republic of) China\", \"The People\\u2019s Republic of China\", \"China (Republic : 1949- )\", \"CHINA\", \"China People's Republic\", \"Pr china\", \"P.r. of china\", \"Chungkuo\", \"ISO 3166-1:CN\", \"Land of China\", \"Zhonghua renmin gongheguo\", \"P.R. China\", \"Zhonggu\\u00f3\", \"\\u4e2d\\u534e\\u4eba\\u6c11\\u5171\\u548c\\u56fd\", \"PRChina\", \"\\u4e2d\\u83ef\", \"PR of China\", \"\\u4e2d\\u83ef\\u4eba\\u6c11\\u5171\\u548c\\u570b\", \"Pr of c\", \"Cihna\", \"Communist China (modern)\", \"P. R. China\", \"People's Republic of China (PRC)\", \"Peoples' Republic of China\", \"The Peoples Republic of China\", \"People's Republic of China\", \"Pr of china\", \"PR China\", \"P.R. of CHINA\"]"
] |
[
"Which 1955 film was withdrawn from the Venice Film Festival when the US Ambassador to Italy, Clare Booth Luce, refused to attend because the film gave too alarming an impression of conditions in US schools?",
"Which country's national anthem is known in English as 'The March of the Volunteers'?"
] | 2
|
[
84070,
84071
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Which company manufactured the WW2 plane, the B17, known as the Flying Fortress?\nQuestion 2: At which place in Devon will you find the Britannia Royal Naval College?",
"role": "user"
}
] |
["Boeing Aircraft of Canada", "Boeing Information Services, Inc.", "The Boeing Company", "Boeing Aircraft", "Pacific Aero Products", "Continental DataGraphics", "Boeing Electronics, Inc.", "The Boeing Co.", "Boeing Aircraft Corp", "Boeing Company", "Boeing Aircraft Company", "Pacific Aero Products Company", "William Boeing Jr.", "Boeng", "Boeing", "Boeing Commercial Airlines", "Boeing Information Services", "BOEING Company", "Boeing International", "NYSE:BA", "Boeing Co.", "Boeing Aircraft Corporation", "Www.boeing.com", "Pacific Aero Products Co.", "X-vehicles", "Boeing Electronics", "Boeing Corporation", "Boeing Computer Services", "List of Boeing Factories", "Beoing"]; ["Dartmouth", "DARTMOUTH", "Dartmouth (disambiguation)"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Boeing Aircraft of Canada\", \"Boeing Information Services, Inc.\", \"The Boeing Company\", \"Boeing Aircraft\", \"Pacific Aero Products\", \"Continental DataGraphics\", \"Boeing Electronics, Inc.\", \"The Boeing Co.\", \"Boeing Aircraft Corp\", \"Boeing Company\", \"Boeing Aircraft Company\", \"Pacific Aero Products Company\", \"William Boeing Jr.\", \"Boeng\", \"Boeing\", \"Boeing Commercial Airlines\", \"Boeing Information Services\", \"BOEING Company\", \"Boeing International\", \"NYSE:BA\", \"Boeing Co.\", \"Boeing Aircraft Corporation\", \"Www.boeing.com\", \"Pacific Aero Products Co.\", \"X-vehicles\", \"Boeing Electronics\", \"Boeing Corporation\", \"Boeing Computer Services\", \"List of Boeing Factories\", \"Beoing\"]",
"[\"Dartmouth\", \"DARTMOUTH\", \"Dartmouth (disambiguation)\"]"
] |
[
"Which company manufactured the WW2 plane, the B17, known as the Flying Fortress?",
"At which place in Devon will you find the Britannia Royal Naval College?"
] | 2
|
[
2332,
2333
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: In the traditional English language nursery rhyme 'Solomon Grundy', on which day did he 'take ill'?\nQuestion 2: To which island was Napoleon first exiled to in 1814?",
"role": "user"
}
] |
["Il gioved\u00ec", "Il giovedi", "The Thursday", "THURSDAY"]; ["Isle of Elba", "Isola d'Elba", "Isola di Elba", "Elba", "Isole di Elba"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Il gioved\\u00ec\", \"Il giovedi\", \"The Thursday\", \"THURSDAY\"]",
"[\"Isle of Elba\", \"Isola d'Elba\", \"Isola di Elba\", \"Elba\", \"Isole di Elba\"]"
] |
[
"In the traditional English language nursery rhyme 'Solomon Grundy', on which day did he 'take ill'?",
"To which island was Napoleon first exiled to in 1814?"
] | 2
|
[
60752,
60753
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Clare Grogan was the lead singer with which '80's band?\nQuestion 2: What is the Hindi name for India?",
"role": "user"
}
] |
["Michael Anderson (Altered Images drummer)", "Anthony McDaid", "Tich Anderson", "Altered Images", "Tony McDaid"]; ["Bharat/Bharata (disambiguation)", "Bharata (disambiguation)", "Bharat (place)", "\u092d\u093e\u0930\u0924", "Bharata", "Bharat (disambiguation)", "Bhaarat", "Bharat", "Bh\u0101rat"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Michael Anderson (Altered Images drummer)\", \"Anthony McDaid\", \"Tich Anderson\", \"Altered Images\", \"Tony McDaid\"]",
"[\"Bharat/Bharata (disambiguation)\", \"Bharata (disambiguation)\", \"Bharat (place)\", \"\\u092d\\u093e\\u0930\\u0924\", \"Bharata\", \"Bharat (disambiguation)\", \"Bhaarat\", \"Bharat\", \"Bh\\u0101rat\"]"
] |
[
"Clare Grogan was the lead singer with which '80's band?",
"What is the Hindi name for India?"
] | 2
|
[
119738,
119739
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What was the name of the competitor to the Matchbox die cast car, introduced by Mattel in 1968?\nQuestion 2: \"In the Sherlock Holmes story, \"\"The Speckled Band\"\", what is the speckled band?\"",
"role": "user"
}
] |
["List of 2007 Hot Wheels", "Hot wheels", "Treasure Hunt Series", "Hot Wheels", "Hot Wheels Beach Bomb", "Hot Wheels Ballistiks", "Shogun Racers", "Hotwheels", "Twin Mill", "Volkswagen Beach Bomb"]; ["A SNAKE", "Snake (disambiguation)", "The Snake", "The Snake (album)"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"List of 2007 Hot Wheels\", \"Hot wheels\", \"Treasure Hunt Series\", \"Hot Wheels\", \"Hot Wheels Beach Bomb\", \"Hot Wheels Ballistiks\", \"Shogun Racers\", \"Hotwheels\", \"Twin Mill\", \"Volkswagen Beach Bomb\"]",
"[\"A SNAKE\", \"Snake (disambiguation)\", \"The Snake\", \"The Snake (album)\"]"
] |
[
"What was the name of the competitor to the Matchbox die cast car, introduced by Mattel in 1968?",
"\"In the Sherlock Holmes story, \"\"The Speckled Band\"\", what is the speckled band?\""
] | 2
|
[
45134,
45135
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Which actor used the word “Perfik” in The Darling Buds of May?\nQuestion 2: Because of his advocation for the use of direct current (DC) for electric power distribution, Thomas Edison developed a bitter rivalry with which other genius who advocated alternating current (AC)?",
"role": "user"
}
] |
["David Jason filmography", "David Jason", "Filmography of David Jason", "Sir David Jason"]; ["Nichola Tesla", "Tesla's Flying Machine", "Dr. Nikola Tesla (1856-1943)", "Duka Mandic", "\u0110uka Mandi\u0107", "Students of Nikola Tesla", "Dynamic theory of gravity", "\u041d\u0438\u043a\u043e\u043b\u0430 \u0422\u0435\u0441\u043b\u0430", "Biography of Nikola Tesla", "Nicola Tesla", "Tesla (physicist)", "Milutin Tesla", "Nikola Telsa", "Tesla, Nikola", "Nikola Tesla", "Tesla Cannon", "Nikolai Tesla", "Nikoli Tesla", "Nikola tesla"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"David Jason filmography\", \"David Jason\", \"Filmography of David Jason\", \"Sir David Jason\"]",
"[\"Nichola Tesla\", \"Tesla's Flying Machine\", \"Dr. Nikola Tesla (1856-1943)\", \"Duka Mandic\", \"\\u0110uka Mandi\\u0107\", \"Students of Nikola Tesla\", \"Dynamic theory of gravity\", \"\\u041d\\u0438\\u043a\\u043e\\u043b\\u0430 \\u0422\\u0435\\u0441\\u043b\\u0430\", \"Biography of Nikola Tesla\", \"Nicola Tesla\", \"Tesla (physicist)\", \"Milutin Tesla\", \"Nikola Telsa\", \"Tesla, Nikola\", \"Nikola Tesla\", \"Tesla Cannon\", \"Nikolai Tesla\", \"Nikoli Tesla\", \"Nikola tesla\"]"
] |
[
"Which actor used the word “Perfik” in The Darling Buds of May?",
"Because of his advocation for the use of direct current (DC) for electric power distribution, Thomas Edison developed a bitter rivalry with which other genius who advocated alternating current (AC)?"
] | 2
|
[
34026,
34027
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Rhagfyr is Welsh for which month of the year?\nQuestion 2: Which country has the internet domain .fi?",
"role": "user"
}
] |
["December", "\u32cb", "Xber", "Dec.", "Decembre"]; ["FinlanD", "FINLAND", "Suomen tasavalta", "Suomen Tasavalta", "Republiken Finland", "Finlande", "Finland", "Finland during World War II", "Finnland", "Finland's", "Republic of Finland", "Etymology of Finland", "Fin land", "Name of Finland", "Finn Land", "ISO 3166-1:FI", "Northern Finland"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"December\", \"\\u32cb\", \"Xber\", \"Dec.\", \"Decembre\"]",
"[\"FinlanD\", \"FINLAND\", \"Suomen tasavalta\", \"Suomen Tasavalta\", \"Republiken Finland\", \"Finlande\", \"Finland\", \"Finland during World War II\", \"Finnland\", \"Finland's\", \"Republic of Finland\", \"Etymology of Finland\", \"Fin land\", \"Name of Finland\", \"Finn Land\", \"ISO 3166-1:FI\", \"Northern Finland\"]"
] |
[
"Rhagfyr is Welsh for which month of the year?",
"Which country has the internet domain .fi?"
] | 2
|
[
80070,
80071
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What was the title of Elvis Presley's first feature film?\nQuestion 2: \"Which city has \"\"areas\"\" called Burdiehouse, Clermiston, Corstorphine, Dumbiedykes, The Grange, Haymarket, Hermiston, Holyrood, Inverleith, Jock's Lodge, Leith, Meadowbank, Murrayfield, Oxgangs, Pilrig, Portobello, Riccarton, Shandon and Tynecastle?\"",
"role": "user"
}
] |
["Love Me Tender", "Love Me Tender (album)", "'LOVE ME TENDER'", "Love Me Tender (disambiguation)"]; ["Dun Eideann", "Burgh of Edinburgh", "Auld Reekie", "Edinburgh, City of (council area)", "Capital of Scotland", "Inner Edinburgh", "Old and New Towns of Edinburgh", "Edinbra", "Edinburgh (Scotland)", "Areas of edinburgh", "Din Eidyn", "Edin-burgh", "D\u00f9n \u00c8ideann", "EDINBURGH", "Edinburgh art", "Edingburgh", "Athens of the north", "Dunedin, Scotland", "Edinburgh City Region", "Caer Eiddyn", "Capital city of scotland", "Edimburgh", "Dun Edin", "Edinburgh, United Kingdom", "Edinborough", "UN/LOCODE:GBEDI", "Suburbs of Edinburgh", "The weather in Edinburgh", "City of Edinburgh, Scotland", "Edinburgh, UK", "Edinburgh", "Eiddyn", "D\u00f9n \u00c9ideann", "Edimburgo", "Southside, Edinburgh", "Embro", "Edinburgh Navigator", "Edinburgh (district)", "City of Edinburgh", "Eidyn", "Geography of Edinburgh", "Edinbourgh", "Embra", "List of Edinburgh suburbs", "Areas of Edinburgh", "List of places in Edinburgh", "Capital of scotland", "Edinburgh, Scotland", "Edinburrie", "City of Edinburgh (council area)", "Edinbrough", "Edinburgh Inspiring Capital", "City of Edinburgh (local government district, Lothian region)"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Love Me Tender\", \"Love Me Tender (album)\", \"'LOVE ME TENDER'\", \"Love Me Tender (disambiguation)\"]",
"[\"Dun Eideann\", \"Burgh of Edinburgh\", \"Auld Reekie\", \"Edinburgh, City of (council area)\", \"Capital of Scotland\", \"Inner Edinburgh\", \"Old and New Towns of Edinburgh\", \"Edinbra\", \"Edinburgh (Scotland)\", \"Areas of edinburgh\", \"Din Eidyn\", \"Edin-burgh\", \"D\\u00f9n \\u00c8ideann\", \"EDINBURGH\", \"Edinburgh art\", \"Edingburgh\", \"Athens of the north\", \"Dunedin, Scotland\", \"Edinburgh City Region\", \"Caer Eiddyn\", \"Capital city of scotland\", \"Edimburgh\", \"Dun Edin\", \"Edinburgh, United Kingdom\", \"Edinborough\", \"UN/LOCODE:GBEDI\", \"Suburbs of Edinburgh\", \"The weather in Edinburgh\", \"City of Edinburgh, Scotland\", \"Edinburgh, UK\", \"Edinburgh\", \"Eiddyn\", \"D\\u00f9n \\u00c9ideann\", \"Edimburgo\", \"Southside, Edinburgh\", \"Embro\", \"Edinburgh Navigator\", \"Edinburgh (district)\", \"City of Edinburgh\", \"Eidyn\", \"Geography of Edinburgh\", \"Edinbourgh\", \"Embra\", \"List of Edinburgh suburbs\", \"Areas of Edinburgh\", \"List of places in Edinburgh\", \"Capital of scotland\", \"Edinburgh, Scotland\", \"Edinburrie\", \"City of Edinburgh (council area)\", \"Edinbrough\", \"Edinburgh Inspiring Capital\", \"City of Edinburgh (local government district, Lothian region)\"]"
] |
[
"What was the title of Elvis Presley's first feature film?",
"\"Which city has \"\"areas\"\" called Burdiehouse, Clermiston, Corstorphine, Dumbiedykes, The Grange, Haymarket, Hermiston, Holyrood, Inverleith, Jock's Lodge, Leith, Meadowbank, Murrayfield, Oxgangs, Pilrig, Portobello, Riccarton, Shandon and Tynecastle?\""
] | 2
|
[
108378,
108379
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: By what name was Manchester Airport originally known?\nQuestion 2: What is a nickname for Inverness?",
"role": "user"
}
] |
["Ringway (disambiguation)", "Ringway", "RINGWAY"]; ["The Capital of the Highlands"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Ringway (disambiguation)\", \"Ringway\", \"RINGWAY\"]",
"[\"The Capital of the Highlands\"]"
] |
[
"By what name was Manchester Airport originally known?",
"What is a nickname for Inverness?"
] | 2
|
[
12974,
12975
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: \"The aria \"\"Vesti La Giubba\"\" (on with the Motley) comes from which Opera?\"\nQuestion 2: Which resort shares both the summit of Mont Blanc and the title of highest commune in France with Saint-Gervais-les-Bains?",
"role": "user"
}
] |
["Poliachi", "Players (opera)", "Pagliacci, I", "I pagliacci", "I, Pagliacci", "Recitar", "Pagliaci", "Nedda", "Pagliaccio", "I Pagliacci", "Pagliacci"]; ["Chamounix", "Chamonix Mont-Blanc", "Chamonix Mont Blanc", "Chamonix-Mont Blanc", "Chamonix-Mont-Blanc", "Chamonix, France", "Chamonix"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Poliachi\", \"Players (opera)\", \"Pagliacci, I\", \"I pagliacci\", \"I, Pagliacci\", \"Recitar\", \"Pagliaci\", \"Nedda\", \"Pagliaccio\", \"I Pagliacci\", \"Pagliacci\"]",
"[\"Chamounix\", \"Chamonix Mont-Blanc\", \"Chamonix Mont Blanc\", \"Chamonix-Mont Blanc\", \"Chamonix-Mont-Blanc\", \"Chamonix, France\", \"Chamonix\"]"
] |
[
"\"The aria \"\"Vesti La Giubba\"\" (on with the Motley) comes from which Opera?\"",
"Which resort shares both the summit of Mont Blanc and the title of highest commune in France with Saint-Gervais-les-Bains?"
] | 2
|
[
100924,
100925
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: The name of which chemical element, with the symbol 'TI', is derived from the Greek for 'budding twig'?\nQuestion 2: What do Americans call the Guard's Van at the rear of a train?",
"role": "user"
}
] |
["Tallium", "Thallium", "Element 81", "Thallous", "THALLIUM", "Thallium-201 stress test", "Thalium"]; ["CABOOSE", "Way car", "Break van", "Cabin car", "Caboose", "Caboos", "Transfer caboose"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Tallium\", \"Thallium\", \"Element 81\", \"Thallous\", \"THALLIUM\", \"Thallium-201 stress test\", \"Thalium\"]",
"[\"CABOOSE\", \"Way car\", \"Break van\", \"Cabin car\", \"Caboose\", \"Caboos\", \"Transfer caboose\"]"
] |
[
"The name of which chemical element, with the symbol 'TI', is derived from the Greek for 'budding twig'?",
"What do Americans call the Guard's Van at the rear of a train?"
] | 2
|
[
66518,
66519
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Which French singer/songwriter and former model is married to Nicolas Sarkozy and was romantically linked to Mick Jagger in the early 1990s?\nQuestion 2: Gilbertese is an official language of which Pacific island nation?",
"role": "user"
}
] |
["Carla Bruni-Tedeschi", "Carla Bruni-Sarkozy", "Carla Bruni Tedeschi", "Carla Bruni", "Carla Bruni Sarkozy", "Carla Gilberta Bruni Tedeschi Sarkozy", "Carla Gilberta Bruni Tedeschi", "Carla Sarkozy"]; ["Kerebati", "Name of Kiribati", "Kiribahs", "Independent and Sovereign Republic of Kiribati", "KIRIBATI", "Health in Kiribati", "Kerebas", "Kerabass", "Kirabus", "Ribaberikin Kiribati", "Military of Kiribati", "ISO 3166-1:KI", "Cerebas", "Kiribati", "Military of Kiribatiy", "Kiribati/Military", "Kiribas", "Ceribas", "Kiriabass", "Kiribass", "Kerabas", "Ciribas", "Kearabass", "Keribas", "Ribaberiki Kiribati", "Republic of Kiribati", "Etymology of Kiribati", "Crown Colony of the Gilbert Islands", "'kiribas"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Carla Bruni-Tedeschi\", \"Carla Bruni-Sarkozy\", \"Carla Bruni Tedeschi\", \"Carla Bruni\", \"Carla Bruni Sarkozy\", \"Carla Gilberta Bruni Tedeschi Sarkozy\", \"Carla Gilberta Bruni Tedeschi\", \"Carla Sarkozy\"]",
"[\"Kerebati\", \"Name of Kiribati\", \"Kiribahs\", \"Independent and Sovereign Republic of Kiribati\", \"KIRIBATI\", \"Health in Kiribati\", \"Kerebas\", \"Kerabass\", \"Kirabus\", \"Ribaberikin Kiribati\", \"Military of Kiribati\", \"ISO 3166-1:KI\", \"Cerebas\", \"Kiribati\", \"Military of Kiribatiy\", \"Kiribati/Military\", \"Kiribas\", \"Ceribas\", \"Kiriabass\", \"Kiribass\", \"Kerabas\", \"Ciribas\", \"Kearabass\", \"Keribas\", \"Ribaberiki Kiribati\", \"Republic of Kiribati\", \"Etymology of Kiribati\", \"Crown Colony of the Gilbert Islands\", \"'kiribas\"]"
] |
[
"Which French singer/songwriter and former model is married to Nicolas Sarkozy and was romantically linked to Mick Jagger in the early 1990s?",
"Gilbertese is an official language of which Pacific island nation?"
] | 2
|
[
19178,
19179
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: During World War II, which spiritual leader addressed letters to Adolph Hitler as ‘My Friend’, requesting him to stop the war which Germany had started?\nQuestion 2: Which part of the body is made up of a series of vertebra?",
"role": "user"
}
] |
["Little brown saint", "Gandhi poppadom", "Mahatama Gandhi", "Gandhi's work in South Africa", "Bapu Gandhi", "Biography of Mahatma Gandhi", "Matahama Gandhi", "M.K. Gandhi", "M K Gandhi", "Mahatma Gandhi", "Gnadhi", "Mohandas %22Mahatma%22 Gandhi", "Mohandas K. Gandhi", "Gandhi, Mohandas Karamchand", "M.K.Gandhi", "Mahatma Gandhi bibliography", "Father of India", "\u0aae\u0acb\u0ab9\u0aa8\u0aa6\u0abe\u0ab8 \u0a95\u0ab0\u0aae\u0a9a\u0a82\u0aa6 \u0a97\u0abe\u0a82\u0aa7\u0ac0", "Barrister mohandas karamchand gandhi", "M. K. Ghandi", "MK Gandhi", "Mohandas Karamchand Gandhi in South Africa", "Gandhian Movement", "Africian raga", "Mahatma gandhi", "Mahatma Karamchand Gandhi", "Mohandas KaramChand Gandhi", "Gandi's work in south africa", "Mah\u00e2tm\u00e2 Gandhi", "Putlibai", "Gandhy", "Mahatma Mohandas Karamchand Gandhi", "Mohandas Gandhi", "Gandhi", "Mahatama Ghandi", "Mahatma Ghandhi", "The little brown saint", "Svadeshi", "Gahndi", "Gandhiji", "Mahondas Gandhi", "Mohandas Karamchand Gandhi", "Ghandi", "Mahatma Ghadhi", "Mohatma Ghandi", "Mohandas Ghandi", "Saint of Sabarmati", "Mahatma Ghandi", "Gandhi, Mohandas K.", "Mohandas K Gandhi", "Mohandus Ghandi", "Mahatman Gandhi", "M. K. Gandhi"]; ["Backbone (album)", "Backbone", "Backbone (disambiguation)", "Backbone (film)"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Little brown saint\", \"Gandhi poppadom\", \"Mahatama Gandhi\", \"Gandhi's work in South Africa\", \"Bapu Gandhi\", \"Biography of Mahatma Gandhi\", \"Matahama Gandhi\", \"M.K. Gandhi\", \"M K Gandhi\", \"Mahatma Gandhi\", \"Gnadhi\", \"Mohandas %22Mahatma%22 Gandhi\", \"Mohandas K. Gandhi\", \"Gandhi, Mohandas Karamchand\", \"M.K.Gandhi\", \"Mahatma Gandhi bibliography\", \"Father of India\", \"\\u0aae\\u0acb\\u0ab9\\u0aa8\\u0aa6\\u0abe\\u0ab8 \\u0a95\\u0ab0\\u0aae\\u0a9a\\u0a82\\u0aa6 \\u0a97\\u0abe\\u0a82\\u0aa7\\u0ac0\", \"Barrister mohandas karamchand gandhi\", \"M. K. Ghandi\", \"MK Gandhi\", \"Mohandas Karamchand Gandhi in South Africa\", \"Gandhian Movement\", \"Africian raga\", \"Mahatma gandhi\", \"Mahatma Karamchand Gandhi\", \"Mohandas KaramChand Gandhi\", \"Gandi's work in south africa\", \"Mah\\u00e2tm\\u00e2 Gandhi\", \"Putlibai\", \"Gandhy\", \"Mahatma Mohandas Karamchand Gandhi\", \"Mohandas Gandhi\", \"Gandhi\", \"Mahatama Ghandi\", \"Mahatma Ghandhi\", \"The little brown saint\", \"Svadeshi\", \"Gahndi\", \"Gandhiji\", \"Mahondas Gandhi\", \"Mohandas Karamchand Gandhi\", \"Ghandi\", \"Mahatma Ghadhi\", \"Mohatma Ghandi\", \"Mohandas Ghandi\", \"Saint of Sabarmati\", \"Mahatma Ghandi\", \"Gandhi, Mohandas K.\", \"Mohandas K Gandhi\", \"Mohandus Ghandi\", \"Mahatman Gandhi\", \"M. K. Gandhi\"]",
"[\"Backbone (album)\", \"Backbone\", \"Backbone (disambiguation)\", \"Backbone (film)\"]"
] |
[
"During World War II, which spiritual leader addressed letters to Adolph Hitler as ‘My Friend’, requesting him to stop the war which Germany had started?",
"Which part of the body is made up of a series of vertebra?"
] | 2
|
[
87316,
87317
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: \"In \"\"Old Possum's Book of Practical Cats\"\", which is the mystery cat and Napoleon of Crime?\"\nQuestion 2: Who was Bonnie Parker's murderous accomplice in the nineteen thirties",
"role": "user"
}
] |
["Macavity, the Mystery Cat", "Macavity", "Macavity (cat)", "Macavity (character)", "Macavity: the Mystery Cat", "MACAVITY"]; ["Prentiss Oakley", "Clyde Champion Barrow", "Bonnie & Clyde", "Barrow gang", "Bonnie and clyde", "Bonnie Parker", "Bonny & Clyde", "Bonnie + Clyde", "Prentis Oakley", "Bonney Parker", "Bonny and Clyde", "Bonnie&Clyde", "Bonnie Parker and Clyde Barrow", "Clyde Barrow", "Bonnie & Clide", "Bonnie And Clyde", "Roy Thornton", "The story of bonnie and clyde", "Bonny + Clyde", "Clyde Chestnut Barrow", "Bonnie Elizabeth Parker", "Bonnie and Clyde"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Macavity, the Mystery Cat\", \"Macavity\", \"Macavity (cat)\", \"Macavity (character)\", \"Macavity: the Mystery Cat\", \"MACAVITY\"]",
"[\"Prentiss Oakley\", \"Clyde Champion Barrow\", \"Bonnie & Clyde\", \"Barrow gang\", \"Bonnie and clyde\", \"Bonnie Parker\", \"Bonny & Clyde\", \"Bonnie + Clyde\", \"Prentis Oakley\", \"Bonney Parker\", \"Bonny and Clyde\", \"Bonnie&Clyde\", \"Bonnie Parker and Clyde Barrow\", \"Clyde Barrow\", \"Bonnie & Clide\", \"Bonnie And Clyde\", \"Roy Thornton\", \"The story of bonnie and clyde\", \"Bonny + Clyde\", \"Clyde Chestnut Barrow\", \"Bonnie Elizabeth Parker\", \"Bonnie and Clyde\"]"
] |
[
"\"In \"\"Old Possum's Book of Practical Cats\"\", which is the mystery cat and Napoleon of Crime?\"",
"Who was Bonnie Parker's murderous accomplice in the nineteen thirties"
] | 2
|
[
100328,
100329
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: If a white van man was driving a Ducato, which company would have made it?\nQuestion 2: According to the Bible, who donated his own tomb for the burial of Jesus after the crucifixion?",
"role": "user"
}
] |
["FIAT", "Fiat", "Fiat Automobiles", "Fiat automobiles", "Fiat Autom\u00f3veis", "Fiat Marylebone", "Fix it again Tony", "Micro-Vett SPA", "Fiat (automobiles)", "List of Fiat car models", "Fiat Automobiles S.p.A."]; ["JOSEPH OF ARIMATHEA", "Joseph of arimathea", "Joseph Of Arimathea", "Joseph of Arimathea", "St Joseph of Arimathea", "Joseph d'Arimathie", "Joseph of Arimathea, Saint", "Joseph of Abarimacie", "Joseph of Aramathea", "St. Joseph of Arimathea", "Joseph of Arimathaea", "Saint Joseph of Arimathea"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"FIAT\", \"Fiat\", \"Fiat Automobiles\", \"Fiat automobiles\", \"Fiat Autom\\u00f3veis\", \"Fiat Marylebone\", \"Fix it again Tony\", \"Micro-Vett SPA\", \"Fiat (automobiles)\", \"List of Fiat car models\", \"Fiat Automobiles S.p.A.\"]",
"[\"JOSEPH OF ARIMATHEA\", \"Joseph of arimathea\", \"Joseph Of Arimathea\", \"Joseph of Arimathea\", \"St Joseph of Arimathea\", \"Joseph d'Arimathie\", \"Joseph of Arimathea, Saint\", \"Joseph of Abarimacie\", \"Joseph of Aramathea\", \"St. Joseph of Arimathea\", \"Joseph of Arimathaea\", \"Saint Joseph of Arimathea\"]"
] |
[
"If a white van man was driving a Ducato, which company would have made it?",
"According to the Bible, who donated his own tomb for the burial of Jesus after the crucifixion?"
] | 2
|
[
2962,
2963
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What favorite of Queen Elizabeth tried to colonize Virginia and popularized smoking?\nQuestion 2: Who was Prime Minister at time of the Battle of Waterloo?",
"role": "user"
}
] |
["Lord Walter Raleigh", "Sir walter raleigh", "Walter Ralagh", "Sir Walter Ralegh", "Walter raleigh", "Sir Walter Ralegh's", "Walter Ralegh", "Walter Rawleigh", "Walter Rawley", "Walter Raleigh", "Sir Walter Raleigh", "Sir Raleigh"]; ["Liberal Toryism", "Robert Banks Jenkinson, 2nd Earl of Liverpool", "Robert Banks Jenkinson", "Lord Liverpool", "Robert Banks Jenkinson, 2nd Earl Liverpool", "LORD LIVERPOOL", "Robert Jenkinson", "Robert Jenkinson, Lord Hawkesbury", "Lord Hawkesbury", "Robert Jenkinson, 2nd Earl of Liverpool"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Lord Walter Raleigh\", \"Sir walter raleigh\", \"Walter Ralagh\", \"Sir Walter Ralegh\", \"Walter raleigh\", \"Sir Walter Ralegh's\", \"Walter Ralegh\", \"Walter Rawleigh\", \"Walter Rawley\", \"Walter Raleigh\", \"Sir Walter Raleigh\", \"Sir Raleigh\"]",
"[\"Liberal Toryism\", \"Robert Banks Jenkinson, 2nd Earl of Liverpool\", \"Robert Banks Jenkinson\", \"Lord Liverpool\", \"Robert Banks Jenkinson, 2nd Earl Liverpool\", \"LORD LIVERPOOL\", \"Robert Jenkinson\", \"Robert Jenkinson, Lord Hawkesbury\", \"Lord Hawkesbury\", \"Robert Jenkinson, 2nd Earl of Liverpool\"]"
] |
[
"What favorite of Queen Elizabeth tried to colonize Virginia and popularized smoking?",
"Who was Prime Minister at time of the Battle of Waterloo?"
] | 2
|
[
61378,
61379
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: In the world of antiques what is majolica?\nQuestion 2: What is a 30th wedding anniversary called?",
"role": "user"
}
] |
["(GLAZED) POTTERY"]; ["Pearl farm", "Pearl farmer", "Oyster pearl", "Pearl", "Pearls", "Coloured pearls", "Pearl farming", "Natural pearl"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"(GLAZED) POTTERY\"]",
"[\"Pearl farm\", \"Pearl farmer\", \"Oyster pearl\", \"Pearl\", \"Pearls\", \"Coloured pearls\", \"Pearl farming\", \"Natural pearl\"]"
] |
[
"In the world of antiques what is majolica?",
"What is a 30th wedding anniversary called?"
] | 2
|
[
124224,
124225
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Who announced his ‘Great Leap Forward’ in 1958?\nQuestion 2: Oscar Wilde described which ‘sport’ as ‘The unspeakable in full pursuit of the uneatable’?",
"role": "user"
}
] |
["Mao Ze-dong", "Maozedong", "Mao Tse-Tung", "Genealogy of Mao Zedong", "Mao Tse'tung", "Mao Tse Tong", "Mao Zedang", "\u6bdb\u6fa4\u6771", "\u6bdb\u4e3b\u5e2d", "Chairman Mao Zedong", "Mao Tse-Dong", "More Ze-dong", "Mao tse Tung", "Mao Tsedung", "\u6bdb\u6cfd\u4e1c", "Mao zedung", "Mao Yongzhi", "Mao Tsedong", "Mao Runzhi", "Mao Tse Toung", "Mao Ze Dong", "Mao Zedong (Mao Tse-tung)", "Mao Tsetung", "Zedong", "M\u00e1o Z\u00e9d\u014dng", "Mall Zedong", "Zedong Mao", "\u6f64\u829d", "Mao Tse-dong", "Jun-Chih", "Mao Tse-toung", "Mao Dsu Tung", "Mao Zadong", "Mao Se Tung", "R\u00f9nzhi", "Mao Tse-tung", "Zdong", "Mao Zedong", "Mao zedong", "Junchih", "Mao-Tse-tung", "Jun-chih", "Chairman Mao Tse-tung", "Mao-Tse Tung", "Mao Tse Tung", "Mao Tse-Dung", "Mao Tsetong", "Poems by Mao Zedong", "Mousie Dung", "Mau: tsu.tUNG", "Mall Ze-dong", "Early life of Mao", "Mao Ze-Dung", "Mao Zhedong", "M\u00e1o Z\u00e9dong", "Mao Tse-Tounge", "Mao tse-tung", "Mao Tze-Tung", "Mao ZeDong", "Mao Ts\u00e9-toung", "Political ideas of Mao Zedong", "Mao Tse-tong", "Runzhi", "Chairman Mao", "\u6f64\u829d\u00b9", "\u6da6\u829d", "Mao Tse-dung", "Mao tsetong", "Tse Tung Mao", "First Red Emperor", "Tse-tung Mao", "Mao", "Mao Tze Tung", "Poetry by Mao Zedong", "Chairman of the Politburo and Secretariat", "Mao Tze-tung", "R\u00f9nzh\u012b", "More Zedong"]; ["Fox-hunter", "Whippers-in", "Whipper in", "Fox Hunting", "Master of the Hounds", "Fox hunter", "Fox-hunt", "Master of Foxhounds", "Whippers in", "Foxhunt", "Beasts of the chase", "Whippersin", "Hunting with hounds", "Fox hunt", "Hunt follower", "Whipper-in", "Fox-hunting", "Whipperin", "Fox Hunt", "Fox hunting", "Master of Fox Hounds", "Fox hunters", "Foxhunting"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Mao Ze-dong\", \"Maozedong\", \"Mao Tse-Tung\", \"Genealogy of Mao Zedong\", \"Mao Tse'tung\", \"Mao Tse Tong\", \"Mao Zedang\", \"\\u6bdb\\u6fa4\\u6771\", \"\\u6bdb\\u4e3b\\u5e2d\", \"Chairman Mao Zedong\", \"Mao Tse-Dong\", \"More Ze-dong\", \"Mao tse Tung\", \"Mao Tsedung\", \"\\u6bdb\\u6cfd\\u4e1c\", \"Mao zedung\", \"Mao Yongzhi\", \"Mao Tsedong\", \"Mao Runzhi\", \"Mao Tse Toung\", \"Mao Ze Dong\", \"Mao Zedong (Mao Tse-tung)\", \"Mao Tsetung\", \"Zedong\", \"M\\u00e1o Z\\u00e9d\\u014dng\", \"Mall Zedong\", \"Zedong Mao\", \"\\u6f64\\u829d\", \"Mao Tse-dong\", \"Jun-Chih\", \"Mao Tse-toung\", \"Mao Dsu Tung\", \"Mao Zadong\", \"Mao Se Tung\", \"R\\u00f9nzhi\", \"Mao Tse-tung\", \"Zdong\", \"Mao Zedong\", \"Mao zedong\", \"Junchih\", \"Mao-Tse-tung\", \"Jun-chih\", \"Chairman Mao Tse-tung\", \"Mao-Tse Tung\", \"Mao Tse Tung\", \"Mao Tse-Dung\", \"Mao Tsetong\", \"Poems by Mao Zedong\", \"Mousie Dung\", \"Mau: tsu.tUNG\", \"Mall Ze-dong\", \"Early life of Mao\", \"Mao Ze-Dung\", \"Mao Zhedong\", \"M\\u00e1o Z\\u00e9dong\", \"Mao Tse-Tounge\", \"Mao tse-tung\", \"Mao Tze-Tung\", \"Mao ZeDong\", \"Mao Ts\\u00e9-toung\", \"Political ideas of Mao Zedong\", \"Mao Tse-tong\", \"Runzhi\", \"Chairman Mao\", \"\\u6f64\\u829d\\u00b9\", \"\\u6da6\\u829d\", \"Mao Tse-dung\", \"Mao tsetong\", \"Tse Tung Mao\", \"First Red Emperor\", \"Tse-tung Mao\", \"Mao\", \"Mao Tze Tung\", \"Poetry by Mao Zedong\", \"Chairman of the Politburo and Secretariat\", \"Mao Tze-tung\", \"R\\u00f9nzh\\u012b\", \"More Zedong\"]",
"[\"Fox-hunter\", \"Whippers-in\", \"Whipper in\", \"Fox Hunting\", \"Master of the Hounds\", \"Fox hunter\", \"Fox-hunt\", \"Master of Foxhounds\", \"Whippers in\", \"Foxhunt\", \"Beasts of the chase\", \"Whippersin\", \"Hunting with hounds\", \"Fox hunt\", \"Hunt follower\", \"Whipper-in\", \"Fox-hunting\", \"Whipperin\", \"Fox Hunt\", \"Fox hunting\", \"Master of Fox Hounds\", \"Fox hunters\", \"Foxhunting\"]"
] |
[
"Who announced his ‘Great Leap Forward’ in 1958?",
"Oscar Wilde described which ‘sport’ as ‘The unspeakable in full pursuit of the uneatable’?"
] | 2
|
[
84770,
84771
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: To within 2 years either way, in what year were MOT tests first introduced for cars?\nQuestion 2: Elizabeth of Glamis and Dorothy Perkins are both types of what?",
"role": "user"
}
] |
["one thousand, nine hundred and sixty", "1960"]; ["Roses (Discount store)", "Rose's Discount Store", "ROSES", "Roses Stores", "P.H. Rose", "Roses (store)", "Rose's"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"one thousand, nine hundred and sixty\", \"1960\"]",
"[\"Roses (Discount store)\", \"Rose's Discount Store\", \"ROSES\", \"Roses Stores\", \"P.H. Rose\", \"Roses (store)\", \"Rose's\"]"
] |
[
"To within 2 years either way, in what year were MOT tests first introduced for cars?",
"Elizabeth of Glamis and Dorothy Perkins are both types of what?"
] | 2
|
[
42588,
42589
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Whose wife was Queen Adelaide after whom the Australian city is named?\nQuestion 2: What four-letter club in New York was famous for punk shows?",
"role": "user"
}
] |
["William IV (disambiguation)", "Wilhelm IV", "William iv", "WILLIAM IV", "William 4", "William IV", "William Iv"]; ["CBGB & OMFUG", "C.B.G.B.", "CBGBs", "CBGB OMFUG", "CB's Gallery", "CBGB's", "CB GB's", "CBGB", "Omfug", "Cbgb"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"William IV (disambiguation)\", \"Wilhelm IV\", \"William iv\", \"WILLIAM IV\", \"William 4\", \"William IV\", \"William Iv\"]",
"[\"CBGB & OMFUG\", \"C.B.G.B.\", \"CBGBs\", \"CBGB OMFUG\", \"CB's Gallery\", \"CBGB's\", \"CB GB's\", \"CBGB\", \"Omfug\", \"Cbgb\"]"
] |
[
"Whose wife was Queen Adelaide after whom the Australian city is named?",
"What four-letter club in New York was famous for punk shows?"
] | 2
|
[
100904,
100905
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Black, Green and Oolong are types of what?\nQuestion 2: What's the tallest mountain that can be seen from Seattle?",
"role": "user"
}
] |
["Tea brewing", "Teamelier", "Tea Leaf", "Tea preparation", "Cold-brewed tea", "Tealeaves", "Tea mashing", "Brewing tea", "Tea leaf", "Tea (drink)", "Steeped Tea", "Lemon tea", "Alternative Tea", "History of tea in Korea", "Organic Tea", "Tea leafs", "Loose tea", "Tea plantation", "Tea leaves", "Tea", "Cup of tea", "Tea growing", "Peach tea", "Indian tea", "Brewing (tea)", "Pitewey", "Tea stall", "Gourmet tea", "Instant tea"]; ["Mt. Rainer", "Mt. Rainier", "Mt. Tahoma", "Mt. Ranier", "Mt Ranier", "Electron Mudflow", "Point Success", "Liberty Cap (Washington)", "Mount Tahoma", "Mount tacobet", "Mt Rainier", "Mount Ranier", "Mount Tacoma", "Mount Rainier (volcano)", "Mount Rainier, Washington", "Mt Rainer", "Mt. Rainier, Washington", "Osceola Lahar", "Mount Rainier", "Mount Rainer"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Tea brewing\", \"Teamelier\", \"Tea Leaf\", \"Tea preparation\", \"Cold-brewed tea\", \"Tealeaves\", \"Tea mashing\", \"Brewing tea\", \"Tea leaf\", \"Tea (drink)\", \"Steeped Tea\", \"Lemon tea\", \"Alternative Tea\", \"History of tea in Korea\", \"Organic Tea\", \"Tea leafs\", \"Loose tea\", \"Tea plantation\", \"Tea leaves\", \"Tea\", \"Cup of tea\", \"Tea growing\", \"Peach tea\", \"Indian tea\", \"Brewing (tea)\", \"Pitewey\", \"Tea stall\", \"Gourmet tea\", \"Instant tea\"]",
"[\"Mt. Rainer\", \"Mt. Rainier\", \"Mt. Tahoma\", \"Mt. Ranier\", \"Mt Ranier\", \"Electron Mudflow\", \"Point Success\", \"Liberty Cap (Washington)\", \"Mount Tahoma\", \"Mount tacobet\", \"Mt Rainier\", \"Mount Ranier\", \"Mount Tacoma\", \"Mount Rainier (volcano)\", \"Mount Rainier, Washington\", \"Mt Rainer\", \"Mt. Rainier, Washington\", \"Osceola Lahar\", \"Mount Rainier\", \"Mount Rainer\"]"
] |
[
"Black, Green and Oolong are types of what?",
"What's the tallest mountain that can be seen from Seattle?"
] | 2
|
[
13586,
13587
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: \"On what river do Oxford and Cambridge compete in a \"\"Boat Race\"\"?\"\nQuestion 2: The malleus, incus, and stapes (the hammer, the anvil, and the stirrup) are the three smallest bones in the human body, how are they collectively known?",
"role": "user"
}
] |
["Theems", "Thames River", "The Thames", "River Thames", "Tamisa", "Themsen", "Themse", "Old Father Thames", "Thames river", "Tamiza", "Temze", "History of Thames Water", "Temza", "The Thames River", "The River Thames", "Tamesa", "River Temz", "Thames Crossing", "Tamigi", "Temz River", "River Tems", "The Thames (river)", "Tems River", "Thames Basin", "River thames", "Isis River (England)", "Thames (river)", "Thames", "Thames River (England)"]; ["Ossicle", "Tympanic ossicle", "The Ossicles", "Ear bone", "Auditory ossicle", "Ossicles", "Muscles of auditory ossicles", "Auditory Ossicles", "Ear ossicle", "Ear ossicles", "Musculi ossiculorum auditus", "Auditory ossicles", "Hammer, anvil and stirrup", "Ear bones", "Ossicula auditus", "Ossicula auditoria"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Theems\", \"Thames River\", \"The Thames\", \"River Thames\", \"Tamisa\", \"Themsen\", \"Themse\", \"Old Father Thames\", \"Thames river\", \"Tamiza\", \"Temze\", \"History of Thames Water\", \"Temza\", \"The Thames River\", \"The River Thames\", \"Tamesa\", \"River Temz\", \"Thames Crossing\", \"Tamigi\", \"Temz River\", \"River Tems\", \"The Thames (river)\", \"Tems River\", \"Thames Basin\", \"River thames\", \"Isis River (England)\", \"Thames (river)\", \"Thames\", \"Thames River (England)\"]",
"[\"Ossicle\", \"Tympanic ossicle\", \"The Ossicles\", \"Ear bone\", \"Auditory ossicle\", \"Ossicles\", \"Muscles of auditory ossicles\", \"Auditory Ossicles\", \"Ear ossicle\", \"Ear ossicles\", \"Musculi ossiculorum auditus\", \"Auditory ossicles\", \"Hammer, anvil and stirrup\", \"Ear bones\", \"Ossicula auditus\", \"Ossicula auditoria\"]"
] |
[
"\"On what river do Oxford and Cambridge compete in a \"\"Boat Race\"\"?\"",
"The malleus, incus, and stapes (the hammer, the anvil, and the stirrup) are the three smallest bones in the human body, how are they collectively known?"
] | 2
|
[
67844,
67845
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Dyce Airport is in which British city?\nQuestion 2: Which former 'Have I Got News For You' presenter made an occassional appearance as Patrick in 'One Foot In The Grave'?",
"role": "user"
}
] |
["Aberdeen City", "City of Aberdeen (council area)", "City of Aberdeen, Scotland", "Obar Dheathain", "Scotland Aberdeen", "Aberdonian", "ABERDEEN", "Aberdeen (Scottish city)", "Aberdeen, Scotland", "City of Aberdeen council area", "Aberdeen City (council area)", "Mile-End School", "Aberdeen Scotland", "City of Aberdeen", "Retail in Aberdeen", "Aberdeen (Scotland)", "Burgh of Aberdeen", "Aberdeen City Police", "UN/LOCODE:GBABD", "Aberdeen city", "City of Aberdeen (local government district, Grampian region)", "Skene Square Primary School", "Aberdeen", "Kingsford Primary School", "Aberdeen City council area", "Aiberdeen", "Aberdeen (district)"]; ["Angus Deayton", "Help Your Self", "Deayton", "Gordon Angus Deayton", "ANGUS DEAYTON", "Angus dayton", "Gordon Deayton", "Angus deyton"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Aberdeen City\", \"City of Aberdeen (council area)\", \"City of Aberdeen, Scotland\", \"Obar Dheathain\", \"Scotland Aberdeen\", \"Aberdonian\", \"ABERDEEN\", \"Aberdeen (Scottish city)\", \"Aberdeen, Scotland\", \"City of Aberdeen council area\", \"Aberdeen City (council area)\", \"Mile-End School\", \"Aberdeen Scotland\", \"City of Aberdeen\", \"Retail in Aberdeen\", \"Aberdeen (Scotland)\", \"Burgh of Aberdeen\", \"Aberdeen City Police\", \"UN/LOCODE:GBABD\", \"Aberdeen city\", \"City of Aberdeen (local government district, Grampian region)\", \"Skene Square Primary School\", \"Aberdeen\", \"Kingsford Primary School\", \"Aberdeen City council area\", \"Aiberdeen\", \"Aberdeen (district)\"]",
"[\"Angus Deayton\", \"Help Your Self\", \"Deayton\", \"Gordon Angus Deayton\", \"ANGUS DEAYTON\", \"Angus dayton\", \"Gordon Deayton\", \"Angus deyton\"]"
] |
[
"Dyce Airport is in which British city?",
"Which former 'Have I Got News For You' presenter made an occassional appearance as Patrick in 'One Foot In The Grave'?"
] | 2
|
[
35546,
35547
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Which animal has species called Plainss, Mountain and Grevy's\nQuestion 2: What nationality was artist Mark Rothko who lived from 1903 to 1970?",
"role": "user"
}
] |
["Zevra", "Zebras", "Hippotigris", "Diseases in zebras", "Zebra", "Baby zebra", "ZEBRA"]; ["RUSSIAN", "Russian (comics)", "The Russian"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Zevra\", \"Zebras\", \"Hippotigris\", \"Diseases in zebras\", \"Zebra\", \"Baby zebra\", \"ZEBRA\"]",
"[\"RUSSIAN\", \"Russian (comics)\", \"The Russian\"]"
] |
[
"Which animal has species called Plainss, Mountain and Grevy's",
"What nationality was artist Mark Rothko who lived from 1903 to 1970?"
] | 2
|
[
84762,
84763
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: \"What is the next in this series: Millie, Ranger, Buddy, Spot \"\"Spotty\"\" Fletcher, Barney, Miss Beazley ... ?\"\nQuestion 2: Which US city was ravaged by a Great Fire in 1871 that left thousands homeless?",
"role": "user"
}
] |
["Bo", "BO", "B.O.", "B.O", "Bo.", "BO (disambiguation)", "Bo (disambiguation)", "B.o.", "B O"]; ["Chi-Beria", "Sayre language academy", "Chicago", "Chicago, Illinois", "Hog Butcher for the World", "Land of smelly onions", "Ariel Community Academy", "The weather in Chicago", "Chicago, Illinois, U.S.A.", "Chicago, Illionis", "Near North Montessori", "Religion in Chicago", "Chicago Finance Committee", "The Paris of America", "The city of Chicago", "City of Chicago", "List of sister cities of Chicago", "UN/LOCODE:USCHI", "Chicago theatre scene", "Chicago, WI", "The City of Broad Shoulders", "City of Broad Shoulders", "Sister Cities of Chicago", "Chicago il", "Chicago, Illinois, USA", "Performing arts in Chicago", "Chicago Transportation Committee", "Chicago, Wisconsin", "City of chicago", "Chicago theater scene", "CHICAGO", "Chicago, Il", "Chicago, IL.", "Chicago, Ill.", "City of Chicago, Illinois", "Chi town", "Chicago, United States", "Chicago (Ill.)", "Transport in Chicago", "Chicago, Illinois, United States", "Chicago (IL)", "USCHI", "Chichago", "Chcago", "Chicago, Illinois, U.S.", "Sister Cities Chicago", "Chicago, USA", "Chi City", "Chicago, IL", "Chi-Town", "Chicago theatre", "Paris of America", "Chicago, Illinois, US", "Chicago Illinois", "The city of Chicago, Illinois", "Sister cities of Chicago"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Bo\", \"BO\", \"B.O.\", \"B.O\", \"Bo.\", \"BO (disambiguation)\", \"Bo (disambiguation)\", \"B.o.\", \"B O\"]",
"[\"Chi-Beria\", \"Sayre language academy\", \"Chicago\", \"Chicago, Illinois\", \"Hog Butcher for the World\", \"Land of smelly onions\", \"Ariel Community Academy\", \"The weather in Chicago\", \"Chicago, Illinois, U.S.A.\", \"Chicago, Illionis\", \"Near North Montessori\", \"Religion in Chicago\", \"Chicago Finance Committee\", \"The Paris of America\", \"The city of Chicago\", \"City of Chicago\", \"List of sister cities of Chicago\", \"UN/LOCODE:USCHI\", \"Chicago theatre scene\", \"Chicago, WI\", \"The City of Broad Shoulders\", \"City of Broad Shoulders\", \"Sister Cities of Chicago\", \"Chicago il\", \"Chicago, Illinois, USA\", \"Performing arts in Chicago\", \"Chicago Transportation Committee\", \"Chicago, Wisconsin\", \"City of chicago\", \"Chicago theater scene\", \"CHICAGO\", \"Chicago, Il\", \"Chicago, IL.\", \"Chicago, Ill.\", \"City of Chicago, Illinois\", \"Chi town\", \"Chicago, United States\", \"Chicago (Ill.)\", \"Transport in Chicago\", \"Chicago, Illinois, United States\", \"Chicago (IL)\", \"USCHI\", \"Chichago\", \"Chcago\", \"Chicago, Illinois, U.S.\", \"Sister Cities Chicago\", \"Chicago, USA\", \"Chi City\", \"Chicago, IL\", \"Chi-Town\", \"Chicago theatre\", \"Paris of America\", \"Chicago, Illinois, US\", \"Chicago Illinois\", \"The city of Chicago, Illinois\", \"Sister cities of Chicago\"]"
] |
[
"\"What is the next in this series: Millie, Ranger, Buddy, Spot \"\"Spotty\"\" Fletcher, Barney, Miss Beazley ... ?\"",
"Which US city was ravaged by a Great Fire in 1871 that left thousands homeless?"
] | 2
|
[
24620,
24621
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Thomas à Beckett was killed in which English Cathedral?\nQuestion 2: What is the two-word term used for a tennis match where the final score is 6-0,6-0?",
"role": "user"
}
] |
["Our Lady of the Undercroft", "Canterbury Cathedral", "Christ Church, Canterbury", "Christchurch Canterbury", "Canterbury Cathedral, St Augustine's Abbey, and St Martin's Church (old style) - Canterbury Cathedral, St Augustine's Abbey, and St Martin's Church", "Metropolitical Church of Christ at Canterbury", "Christchurch Cathedral, Canterbury", "Canterbury cathedral", "Canterbury Cathedral Priory", "Christ Church Priory", "The Cathedral and Metropolitical Church of Christ at Canterbury", "Canons of Canterbury Cathedral", "Canterbury-cathedral", "Christ Church Cathedral Priory", "Canterbury Cathedral Appeal", "Cathedral and Metropolitical Church of Christ at Canterbury", "Lady Chapel (Canterbury)"]; ["Breadstick (tennis)", "DOUBLE BAGEL", "Tennis glossary", "Glossary of tennis terms", "Tennis terms", "Bagel (tennis)", "Glossary of tennis", "Dirtballer", "Doubles (table tennis)", "Tennis terminology", "Double bagel", "Winner (tennis)", "Singles (table tennis)", "Line judge", "Foot-fault", "Moonball", "Unforced error", "Mixed doubles (table tennis)", "Double Bagel", "Foot fault", "Fault (tennis)", "Handicap (tennis)"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Our Lady of the Undercroft\", \"Canterbury Cathedral\", \"Christ Church, Canterbury\", \"Christchurch Canterbury\", \"Canterbury Cathedral, St Augustine's Abbey, and St Martin's Church (old style) - Canterbury Cathedral, St Augustine's Abbey, and St Martin's Church\", \"Metropolitical Church of Christ at Canterbury\", \"Christchurch Cathedral, Canterbury\", \"Canterbury cathedral\", \"Canterbury Cathedral Priory\", \"Christ Church Priory\", \"The Cathedral and Metropolitical Church of Christ at Canterbury\", \"Canons of Canterbury Cathedral\", \"Canterbury-cathedral\", \"Christ Church Cathedral Priory\", \"Canterbury Cathedral Appeal\", \"Cathedral and Metropolitical Church of Christ at Canterbury\", \"Lady Chapel (Canterbury)\"]",
"[\"Breadstick (tennis)\", \"DOUBLE BAGEL\", \"Tennis glossary\", \"Glossary of tennis terms\", \"Tennis terms\", \"Bagel (tennis)\", \"Glossary of tennis\", \"Dirtballer\", \"Doubles (table tennis)\", \"Tennis terminology\", \"Double bagel\", \"Winner (tennis)\", \"Singles (table tennis)\", \"Line judge\", \"Foot-fault\", \"Moonball\", \"Unforced error\", \"Mixed doubles (table tennis)\", \"Double Bagel\", \"Foot fault\", \"Fault (tennis)\", \"Handicap (tennis)\"]"
] |
[
"Thomas à Beckett was killed in which English Cathedral?",
"What is the two-word term used for a tennis match where the final score is 6-0,6-0?"
] | 2
|
[
4116,
4117
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What form did Zeus take when he seduced Io?\nQuestion 2: Dr. Conrad Murray whose trial started in September 2011 in the US was tried for giving a fatal dose of a sedative to which talented celebrity?",
"role": "user"
}
] |
["CLOUD experiment", "CLOUD", "Cosmics Leaving Outdoor Droplets"]; ["Prince Michael Jackson Jr", "Michael Jackson controversy in Berlin", "Michael Jackson: History", "Michael Joseph Jackson Jr.", "Agent MJ", "Paris Jackson (daughter of Michael Jackson)", "Blanket Jackson", "Chamone", "Prince Michael Jackson", "MichaelJackson", "Rhinstone Glove", "Grace Rwaramba", "Michael Jackson discography", "History of Michael Jackson", "Michael Jacksson", "Prince Michael Jackson 1", "2002 Berlin controversy involving Michael Jackson", "Michale jackson", "Paris micheal katherine Jackson", "Prince blanket", "Prince Micheal Jackson II", "Michael Jackson: The Legend Continues", "Paris Katherine Jackson", "Michael Jackson Jr.", "Michael Jackson in popular culture", "Johnny Jay Smith", "Michael Jackson jr", "Michel Jackson", "Wacko Jacko", "Michael j. jackson", "Paris Michael Jackson", "Prince Michael Jackson ll", "Prince Michael Jackson II", "Paris Jackson (Michael Jackson's Daughter)", "List of Michael Jackson performances", "Michael Jackson's finances", "Michael jackson singer", "Michael Jackson (singer)", "Prince Jackson II", "Prince Michael Jackson Jr.", "Michael Joseph Jackson Jr", "The Gloved One", "Michael jackosn", "Michael Jackson (personal life)", "Michael Joe Jackson", "Cha'mone", "Blanket (child)", "Paris Jackson (actress)", "Wax Jax", "Life of Michael Jackson", "Artistry of Michael Jackson", "Michael J Jackson", "Michael jackson - singer", "Shamone", "Michael Jackson", "Prince Michael Jackson I", "Michael Jackson discography (disambiguation)", "Michael Joseph Jackson", "Michael Joseph Jackson%22King of Pop%22", "Paris Michael Katherine Jackson", "Jackson, Michael Joseph", "Jackson, Michael", "Michael Joseph Jackson, Jr.", "Michael Jakson", "Michael jackson", "Mickey J", "Micha\u00ebl Jackson", "Micheal Jackson", "Paris-Michael Katherine Jackson", "Michal Jackson", "The baby dangling incident", "Michael Jackson finances", "Wacko jacko", "Michael Jackson (entertainer)"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"CLOUD experiment\", \"CLOUD\", \"Cosmics Leaving Outdoor Droplets\"]",
"[\"Prince Michael Jackson Jr\", \"Michael Jackson controversy in Berlin\", \"Michael Jackson: History\", \"Michael Joseph Jackson Jr.\", \"Agent MJ\", \"Paris Jackson (daughter of Michael Jackson)\", \"Blanket Jackson\", \"Chamone\", \"Prince Michael Jackson\", \"MichaelJackson\", \"Rhinstone Glove\", \"Grace Rwaramba\", \"Michael Jackson discography\", \"History of Michael Jackson\", \"Michael Jacksson\", \"Prince Michael Jackson 1\", \"2002 Berlin controversy involving Michael Jackson\", \"Michale jackson\", \"Paris micheal katherine Jackson\", \"Prince blanket\", \"Prince Micheal Jackson II\", \"Michael Jackson: The Legend Continues\", \"Paris Katherine Jackson\", \"Michael Jackson Jr.\", \"Michael Jackson in popular culture\", \"Johnny Jay Smith\", \"Michael Jackson jr\", \"Michel Jackson\", \"Wacko Jacko\", \"Michael j. jackson\", \"Paris Michael Jackson\", \"Prince Michael Jackson ll\", \"Prince Michael Jackson II\", \"Paris Jackson (Michael Jackson's Daughter)\", \"List of Michael Jackson performances\", \"Michael Jackson's finances\", \"Michael jackson singer\", \"Michael Jackson (singer)\", \"Prince Jackson II\", \"Prince Michael Jackson Jr.\", \"Michael Joseph Jackson Jr\", \"The Gloved One\", \"Michael jackosn\", \"Michael Jackson (personal life)\", \"Michael Joe Jackson\", \"Cha'mone\", \"Blanket (child)\", \"Paris Jackson (actress)\", \"Wax Jax\", \"Life of Michael Jackson\", \"Artistry of Michael Jackson\", \"Michael J Jackson\", \"Michael jackson - singer\", \"Shamone\", \"Michael Jackson\", \"Prince Michael Jackson I\", \"Michael Jackson discography (disambiguation)\", \"Michael Joseph Jackson\", \"Michael Joseph Jackson%22King of Pop%22\", \"Paris Michael Katherine Jackson\", \"Jackson, Michael Joseph\", \"Jackson, Michael\", \"Michael Joseph Jackson, Jr.\", \"Michael Jakson\", \"Michael jackson\", \"Mickey J\", \"Micha\\u00ebl Jackson\", \"Micheal Jackson\", \"Paris-Michael Katherine Jackson\", \"Michal Jackson\", \"The baby dangling incident\", \"Michael Jackson finances\", \"Wacko jacko\", \"Michael Jackson (entertainer)\"]"
] |
[
"What form did Zeus take when he seduced Io?",
"Dr. Conrad Murray whose trial started in September 2011 in the US was tried for giving a fatal dose of a sedative to which talented celebrity?"
] | 2
|
[
42806,
42807
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Newport in Gwent stands on which river?\nQuestion 2: Neville Chamberlain was British Prime Minister during the reign of which monarch?",
"role": "user"
}
] |
["Usk Island", "Usk", "Brynbuga"]; ["Albert, Duke of York", "HM King George VI", "Prince Albert of Cornwall and York", "George VI, King of England", "Albert of York", "George VI of Scotland", "George VI of Britain", "GVIR", "Prince Albert of Wales", "George VI of the United Kingdom", "George VI of Great Britain and Ireland", "George VI of England", "Albert of Cornwall", "King George VI", "George vi", "George VI of Ireland", "Albert Frederick Arthur George", "King george the 6th", "George VI of the UK", "Albert of Cornwall and York", "George vi of the united kingdom", "George VI of India", "George VI of Great Britain", "George VI, Emperor", "George Vi", "King George V1", "George the Sixth", "Albert of Wales", "George VI", "Prince Albert of York", "George VI of Canada", "King George VI of the United Kingdom", "Prince Albert, Duke of York", "Prince Albert of Cornwall"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Usk Island\", \"Usk\", \"Brynbuga\"]",
"[\"Albert, Duke of York\", \"HM King George VI\", \"Prince Albert of Cornwall and York\", \"George VI, King of England\", \"Albert of York\", \"George VI of Scotland\", \"George VI of Britain\", \"GVIR\", \"Prince Albert of Wales\", \"George VI of the United Kingdom\", \"George VI of Great Britain and Ireland\", \"George VI of England\", \"Albert of Cornwall\", \"King George VI\", \"George vi\", \"George VI of Ireland\", \"Albert Frederick Arthur George\", \"King george the 6th\", \"George VI of the UK\", \"Albert of Cornwall and York\", \"George vi of the united kingdom\", \"George VI of India\", \"George VI of Great Britain\", \"George VI, Emperor\", \"George Vi\", \"King George V1\", \"George the Sixth\", \"Albert of Wales\", \"George VI\", \"Prince Albert of York\", \"George VI of Canada\", \"King George VI of the United Kingdom\", \"Prince Albert, Duke of York\", \"Prince Albert of Cornwall\"]"
] |
[
"Newport in Gwent stands on which river?",
"Neville Chamberlain was British Prime Minister during the reign of which monarch?"
] | 2
|
[
68122,
68123
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Erect-Crested, Little Blue (or Fairy), Humboldt and Chinstrap are species of what?\nQuestion 2: \"Who wrote the poem that begins \"\"April is the cruellest month\"\"?\"",
"role": "user"
}
] |
["Penquins", "Ptilopteri", "Sphenisciformes", "Penguine", "\ud83d\udc27", "Sphenisiformes", "Spheniscinae", "Pengiuns", "Behavior patterns of adult penguins", "Penguines", "Spheniscid\u00e6", "Spheniscidae", "Penguins", "Speniscidiformes", "A penguin", "Penquin", "Penguin eggs", "Impennes", "Isabelline penguin", "Penguin"]; ["TS Elliot", "T.s. Eliot", "TS Eliot", "T S Elliot", "T. S. Eliot", "T.s. eliot", "Sweeney Among the Nightingales", "T. S. Elliott", "T.S.E.", "T.S.Eliot", "Thomas Stearns", "T. S. (Thomas Stearns) Eliot", "Ts eliot", "T. S. Elliot", "Sweeney among the Nightingales", "T.S Eliot", "T.S Elliot", "Eliotian", "T.S. Elliot", "T.S. Eliott", "T S Eliot", "T Eliot", "Ts elliot", "Prufrock and Other Observations", "Thomas S. Eliot", "Thomas Stearns Eliot, OM", "T.S. Eliot", "Thomas Stearns Eliot"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Penquins\", \"Ptilopteri\", \"Sphenisciformes\", \"Penguine\", \"\\ud83d\\udc27\", \"Sphenisiformes\", \"Spheniscinae\", \"Pengiuns\", \"Behavior patterns of adult penguins\", \"Penguines\", \"Spheniscid\\u00e6\", \"Spheniscidae\", \"Penguins\", \"Speniscidiformes\", \"A penguin\", \"Penquin\", \"Penguin eggs\", \"Impennes\", \"Isabelline penguin\", \"Penguin\"]",
"[\"TS Elliot\", \"T.s. Eliot\", \"TS Eliot\", \"T S Elliot\", \"T. S. Eliot\", \"T.s. eliot\", \"Sweeney Among the Nightingales\", \"T. S. Elliott\", \"T.S.E.\", \"T.S.Eliot\", \"Thomas Stearns\", \"T. S. (Thomas Stearns) Eliot\", \"Ts eliot\", \"T. S. Elliot\", \"Sweeney among the Nightingales\", \"T.S Eliot\", \"T.S Elliot\", \"Eliotian\", \"T.S. Elliot\", \"T.S. Eliott\", \"T S Eliot\", \"T Eliot\", \"Ts elliot\", \"Prufrock and Other Observations\", \"Thomas S. Eliot\", \"Thomas Stearns Eliot, OM\", \"T.S. Eliot\", \"Thomas Stearns Eliot\"]"
] |
[
"Erect-Crested, Little Blue (or Fairy), Humboldt and Chinstrap are species of what?",
"\"Who wrote the poem that begins \"\"April is the cruellest month\"\"?\""
] | 2
|
[
53816,
53817
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Who wrote the 1989 novel A Clear and Present Danger?\nQuestion 2: Nigeria shares the vast majority of its eastern border with which country?",
"role": "user"
}
] |
["Thomas Leo Clancy, Jr.", "Airborne (book)", "Clancy, Tom", "Tom Clancy, Jr.", "Thomas Leo Clancy Jr", "Tom Clancey", "Tom clancy", "Thomas Jr. Clancy", "Books by tom clancy", "Tom Clancy", "Carrier (book)"]; ["Federal Republic of Cameroon", "Le Cameroun", "The Cameroons", "Camroon", "ISO 3166-1:CM", "Republique De Cameroun", "Camaroon", "Cameroon", "Republic Of Cameroon", "Cameroom", "La R\u00e9publique du Cameroun", "Camerun", "Republique du Cameroun", "United Republic of Cameroon", "Cameroonese", "The Republic Of Cameroon", "R\u00e9publique De Cameroun", "La Republique du Cameroun", "Africa in Miniature", "R\u00e9publique du Cameroun", "Country Cameroon", "Africa in miniature", "Kameroen", "CAMEROON", "Republic of Cameroon"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Thomas Leo Clancy, Jr.\", \"Airborne (book)\", \"Clancy, Tom\", \"Tom Clancy, Jr.\", \"Thomas Leo Clancy Jr\", \"Tom Clancey\", \"Tom clancy\", \"Thomas Jr. Clancy\", \"Books by tom clancy\", \"Tom Clancy\", \"Carrier (book)\"]",
"[\"Federal Republic of Cameroon\", \"Le Cameroun\", \"The Cameroons\", \"Camroon\", \"ISO 3166-1:CM\", \"Republique De Cameroun\", \"Camaroon\", \"Cameroon\", \"Republic Of Cameroon\", \"Cameroom\", \"La R\\u00e9publique du Cameroun\", \"Camerun\", \"Republique du Cameroun\", \"United Republic of Cameroon\", \"Cameroonese\", \"The Republic Of Cameroon\", \"R\\u00e9publique De Cameroun\", \"La Republique du Cameroun\", \"Africa in Miniature\", \"R\\u00e9publique du Cameroun\", \"Country Cameroon\", \"Africa in miniature\", \"Kameroen\", \"CAMEROON\", \"Republic of Cameroon\"]"
] |
[
"Who wrote the 1989 novel A Clear and Present Danger?",
"Nigeria shares the vast majority of its eastern border with which country?"
] | 2
|
[
58332,
58333
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: Whose twelfth studio album Magna Carta Holy Grail released in July has topped the charts on both sides of the Atlantic7.\nQuestion 2: What was Michelangelo's first name?",
"role": "user"
}
] |
["Jigga", "Jay\u2013Z", "J-zee", "The Carter Administration", "Ja\u00ff-Z", "JAY Z", "Shawn Corey Carter", "Hovito", "Watch the Throne 2", "JZ (rapper)", "Jayz", "Shawn %22Jay-Z%22 Carter", "Jigga Man", "Jzee", "JAY-Z", "Life+Times", "Shawn Carter", "S. c. carter", "J.Z. (rapper)", "Sean Carter", "J-Zay", "Jiggaman", "Jay0z", "JayZ", "The carter administration", "Jay-z", "Jay Zed", "Jay Zee", "Life + Times", "Shawn C. Carter", "Jay-Z", "Jay0Z", "Young Hov", "S Carter", "Jay Z", "Jay-Z (band)", "Jay z", "Young Hov'", "S. carter"]; ["Buonaroti Michelangelo", "M. Angelo", "Michelangelo Buonaroti", "Buonarroti, Michelangelo", "Micheangelo", "Michelangelo Buonarroti", "Michelangelo Bounnaroti", "Michelangelo Simoni", "Michelan", "Buonarroti Michelangelo", "Michel Agnolo", "Michelangelo", "Michelangello", "Michelangelesque", "Michelange", "Michelangelo di Lodovico Buonarroti Simoni", "Michaelangelo Buonarroti", "Michel angelo", "Michelangelo's", "Michaelangelo", "Michealangelo", "Michel-Angelo Buonarroti", "Michelangelo Di Lodovico Buonarroti Simoni", "Michael Angelo Buonarroti", "Michaleangelo", "Michael Angelo Buonarotti", "Michalangelo", "Michelangelo di Lodovico", "Michaelangalo", "Michelangelo Buonarrotti", "Michelangelo Buonarotti", "Michellangelo"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Jigga\", \"Jay\\u2013Z\", \"J-zee\", \"The Carter Administration\", \"Ja\\u00ff-Z\", \"JAY Z\", \"Shawn Corey Carter\", \"Hovito\", \"Watch the Throne 2\", \"JZ (rapper)\", \"Jayz\", \"Shawn %22Jay-Z%22 Carter\", \"Jigga Man\", \"Jzee\", \"JAY-Z\", \"Life+Times\", \"Shawn Carter\", \"S. c. carter\", \"J.Z. (rapper)\", \"Sean Carter\", \"J-Zay\", \"Jiggaman\", \"Jay0z\", \"JayZ\", \"The carter administration\", \"Jay-z\", \"Jay Zed\", \"Jay Zee\", \"Life + Times\", \"Shawn C. Carter\", \"Jay-Z\", \"Jay0Z\", \"Young Hov\", \"S Carter\", \"Jay Z\", \"Jay-Z (band)\", \"Jay z\", \"Young Hov'\", \"S. carter\"]",
"[\"Buonaroti Michelangelo\", \"M. Angelo\", \"Michelangelo Buonaroti\", \"Buonarroti, Michelangelo\", \"Micheangelo\", \"Michelangelo Buonarroti\", \"Michelangelo Bounnaroti\", \"Michelangelo Simoni\", \"Michelan\", \"Buonarroti Michelangelo\", \"Michel Agnolo\", \"Michelangelo\", \"Michelangello\", \"Michelangelesque\", \"Michelange\", \"Michelangelo di Lodovico Buonarroti Simoni\", \"Michaelangelo Buonarroti\", \"Michel angelo\", \"Michelangelo's\", \"Michaelangelo\", \"Michealangelo\", \"Michel-Angelo Buonarroti\", \"Michelangelo Di Lodovico Buonarroti Simoni\", \"Michael Angelo Buonarroti\", \"Michaleangelo\", \"Michael Angelo Buonarotti\", \"Michalangelo\", \"Michelangelo di Lodovico\", \"Michaelangalo\", \"Michelangelo Buonarrotti\", \"Michelangelo Buonarotti\", \"Michellangelo\"]"
] |
[
"Whose twelfth studio album Magna Carta Holy Grail released in July has topped the charts on both sides of the Atlantic7.",
"What was Michelangelo's first name?"
] | 2
|
[
38410,
38411
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: What was the name of Isambard Kingdom Brunel’s steamship, launched in 1858?\nQuestion 2: Who plays David Starsky in the 2004 film ‘Starsky and Hutch’?",
"role": "user"
}
] |
["Great Eastern (disambiguation)", "The Great Eastern", "Great Eastern"]; ["Benjamin Stiller", "Benjamin Edward Stiller", "BEN STIiller", "Ben Stiller", "Quinlin Dempsey Stiller"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Great Eastern (disambiguation)\", \"The Great Eastern\", \"Great Eastern\"]",
"[\"Benjamin Stiller\", \"Benjamin Edward Stiller\", \"BEN STIiller\", \"Ben Stiller\", \"Quinlin Dempsey Stiller\"]"
] |
[
"What was the name of Isambard Kingdom Brunel’s steamship, launched in 1858?",
"Who plays David Starsky in the 2004 film ‘Starsky and Hutch’?"
] | 2
|
[
17978,
17979
] |
[
{
"content": "You are a research assistant that answers multiple questions through iterative reasoning and research.\n\nPROCESS:\n- Use <think></think> tags to show your reasoning at any point\n- Use <search>query</search> tags when you need information\n- You can alternate between thinking and searching multiple times\n- Answer each question sequentially, one at a time\n\nSEARCH RESULTS:\n- Results appear as: <snippet id=UNIQUE_ID>content</snippet>\n\nMULTI-QUESTION ANSWERING FORMAT:\n- You will be given 2 questions to answer\n- Answer the FIRST question completely, then move to the SECOND question\n- For the first question: Use <answer1>\\boxed{{your_answer}}</answer1>\n- For the final question: Use <answer2>\\boxed{{your_answer}}</answer2>\n- Each answer should be concise and placed within the \\boxed{} format\n- All 2 answers must be correct for the response to be considered successful\n\nWORKFLOW EXAMPLE:\n<think>I need to research question 1</think>\n<search>relevant query for question 1</search>\n[results provided]\n<answer1>\\boxed{{example_answer_1}}</answer1>\n\n<think>I need to research question 2</think>\n<search>relevant query for question 2</search>\n[results provided]\n<answer2>\\boxed{{example_answer_2}}</answer2>\n\nREQUIREMENTS:\n- Answer each question in sequence (Question 1, then Question 2)\n- Use <answer1>\\boxed{{answer}}</answer1> for question 1\n- Use <answer2>\\boxed{{answer}}</answer2> for question 2\n- Think and search as needed for each question before providing its answer\n- Ensure all answers are complete and correct\n\nQuestion 1: The metallic element, Lutetium, is named after the Latin name of which European capital city?\nQuestion 2: What is the measurement unit for linear mass density of fibres/fibers, commonly used in grading tights/stockings?",
"role": "user"
}
] |
["Places named Paris", "Paris (actor)", "Paris (film)", "Paris (musical)", "PARIS", "Paris (list)", "Paris album", "Paris (disambiguation)", "Paris (USA)", "Paris (U.S.A.)", "Paris (album)", "List of places and things named Paris", "Paris (Roman actor)"]; ["Denier", "Dennier", "Deniers", "Denier (disambiguation)"]
|
rl_rag_toy_case_multi_dataset_single_source_tqa
|
[
"tqa"
] |
[
"[\"Places named Paris\", \"Paris (actor)\", \"Paris (film)\", \"Paris (musical)\", \"PARIS\", \"Paris (list)\", \"Paris album\", \"Paris (disambiguation)\", \"Paris (USA)\", \"Paris (U.S.A.)\", \"Paris (album)\", \"List of places and things named Paris\", \"Paris (Roman actor)\"]",
"[\"Denier\", \"Dennier\", \"Deniers\", \"Denier (disambiguation)\"]"
] |
[
"The metallic element, Lutetium, is named after the Latin name of which European capital city?",
"What is the measurement unit for linear mass density of fibres/fibers, commonly used in grading tights/stockings?"
] | 2
|
[
85834,
85835
] |
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