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tulu-v2-sft-mixture-llama3-inference-syn-knowledge-outputs-v1

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ActiveRetrieval 4

flan_v2

flan_v2_23

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: QUESTION: answer this: when did the chinese first use gunpowder as a weapon?? ANS: 904 input: What is the answer to this question? who is the original artist of proud mary? output: John Fogerty In: when did the supreme court rule that bus segregation was unconstitutional?? Out: December 1956 Please answer this: who is going to be in the world cup final? France Q: Answer this question: where did the ancient civilization of sumer develop?? A: modern-day southern Iraq <|start-PI|>Question: when did the first episode of malcolm in the middle air?<|end-PI|> Answer: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>January 9, 2000<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nQUESTION: answer this: when did the chinese first use gunpowder as a weapon??\n\nANS: 904\n\ninput: What is the answer to this question? who is the original artist of proud mary?\n\noutput: John Fogerty\n\nIn: when did the supreme court rule that bus segregation was unconstitutional??\n\nOut: December 1956\n\nPlease answer this: who is going to be in the world cup final?\n\nFrance\n\nQ: Answer this question:\n\nwhere did the ancient civilization of sumer develop??\n\nA: modern-day southern Iraq\n\n<|start-PI|>Question: when did the first episode of malcolm in the middle air?<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The first episode of the popular American sitcom Malcolm in the Middle aired on January 9, 2000. The show was created by Linwood Boomer and starred Frankie Muniz as Malcolm, a gifted teenager growing up in a dysfunctional family. The show was known for its witty humor and relatable characters, and it went on to run for seven seasons. The pilot episode, titled \"Pilot,\" introduced audiences to the Malcolm family and set the tone for the rest of the series.<|start-KFI|>January 9, 2000<|end-KFI|>"}

flan_v2

flan_v2_27

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: Problem: Background: King was born in Long Beach, California, into a conservative Methodist family, the daughter of Betty (nee Jerman), a housewife, and Bill Moffitt, a firefighter. Billie Jean's family was athletic. Her mother excelled at swimming, her father played basketball, baseball and ran track. Her younger brother, Randy Moffitt, became a Major League Baseball pitcher, pitching for 12 years in the major leagues for the San Francisco Giants, Houston Astros, and Toronto Blue Jays. Context: In 1982, King was 38 years old and the twelfth-seed at Wimbledon. In her third round match with Tanya Harford of South Africa, King was down 7-5, 5-4 (40-0) before saving three match points to win the second set 7-6(2) and then the third set 6-3. King said in her post-match press conference, "I can't recall the previous time I have been so close to defeat and won. When I was down 4-5 and love-40, I told myself, 'You have been here 21 years, so use that experience and hang on.'" In the fourth round, King upset sixth-seeded Australian Wendy Turnbull in straight sets. King then upset third-seeded Tracy Austin in the quarterfinals 3-6, 6-4, 6-2 to become the oldest female semifinalist at Wimbledon since Dorothea Douglass Lambert Chambers in 1920. This was King's first career victory over Austin after five defeats and reversed the result of their 1979 Wimbledon quarterfinal. King said in her post-match press conference, "Today, I looked at the scoreboard when I was 2-0 in the third set and the '2' seemed to be getting bigger and bigger. In 1979, when I was up 2-0 at the same stage, I was tired and didn't have anything left. But today I felt so much better and was great mentally." Two days later in the semifinals, which was King's 250th career match at Wimbledon in singles, women's doubles, and mixed doubles, the second-seeded Chris Evert defeated King on her fifth match point 7-6(4), 2-6, 6-3. King was down a set and 2-1 in the second set before winning five consecutive games to even the match. King explained that she actually lost the match in the first set by failing to convert break points at 15-40 in the second and fourth games. She reached the semifinals in her final appearance at Wimbledon, losing to Andrea Jaeger 6-1, 6-1 after beating Kathy Jordan in the quarterfinals, seventh-seeded Wendy Turnbull in the fourth round, and Rosemary Casals, her longtime doubles partner, in the third round. Jaeger claims that she was highly motivated to defeat King because King had defeated Turnbull, a favorite of Jaeger's, and because King refused a towel from an attendant just before her match with Jaeger, explaining, "I'm not going to sweat in this match." King became the oldest WTA player to win a singles tournament when she won the Edgbaston Cup grass court tournament in Birmingham at 39 years, 7 months and 23 days after a straight-sets victory in the final against Alycia Moulton. The final official singles match of King's career was a second round loss to Catherine Tanvier at the 1983 Australian Open. Question: Did she play at Wimbledon or any other well known events during these years? Answer: In 1982, King was 38 years old and the twelfth-seed at Wimbledon. Background: Daniel Irvin Rather, Jr. was born on October 31, 1931, in Wharton County, Texas, the son of Daniel Irvin Rather, Sr., a ditch digger, and the former Byrl Veda Page. The Rathers moved to Houston, where Dan attended Love Elementary School and Hamilton Middle School. He graduated in 1950 from John H. Reagan High School in Houston. In 1953, he earned a bachelor's degree in journalism from Sam Houston State University where he was editor of the school newspaper, The Houstonian. Context: On September 8, 2004, Rather reported on 60 Minutes Wednesday that a series of memos critical of President George W. Bush's Texas Air National Guard service record had been discovered in the personal files of Lt. Bush's former commanding officer, Lt. Col. Jerry B. Killian. Once copies of the documents were made available on the Internet, their authenticity was quickly called into question. Much of this was based on the fact that the documents were proportionally printed and displayed using other modern typographic conventions usually unavailable on military typewriters of the 1970s. The font used on the documents has characteristics that exactly match standard font features of Microsoft Word. This led to claims that the memos were forgeries. The accusations then spread over the following days into mainstream media outlets including The Washington Post, The New York Times, and the Chicago Sun-Times. Rather and CBS initially defended the story, insisting that the documents had been authenticated by experts. CBS was contradicted by some of the experts it originally cited, and later reported that its source for the documents - former Texas Army National Guard officer Lt. Col. Bill Burkett - had misled the network about how he had obtained them. On September 20, CBS retracted the story. Rather stated, "If I knew then what I know now, I would not have gone ahead with the story as it was aired, and I certainly would not have used the documents in question." The controversy has been referred to by some as "Memogate" and "Rathergate." Following an investigation commissioned by CBS, CBS fired story producer Mary Mapes and asked three other producers connected with the story to resign. Many believe Rather's retirement was hastened by this incident. On September 20, 2007, Rather was interviewed on Larry King Live commenting "Nobody has proved that they were fraudulent, much less a forgery. ... The truth of this story stands up to this day." Question: <|start-PI|>Did Dan Rather do a story on the Killian documents?<|end-PI|> Answer: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>Rather reported on 60 Minutes Wednesday<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nProblem: Background: King was born in Long Beach, California, into a conservative Methodist family, the daughter of Betty (nee Jerman), a housewife, and Bill Moffitt, a firefighter. Billie Jean's family was athletic. Her mother excelled at swimming, her father played basketball, baseball and ran track. Her younger brother, Randy Moffitt, became a Major League Baseball pitcher, pitching for 12 years in the major leagues for the San Francisco Giants, Houston Astros, and Toronto Blue Jays.\nContext: In 1982, King was 38 years old and the twelfth-seed at Wimbledon. In her third round match with Tanya Harford of South Africa, King was down 7-5, 5-4 (40-0) before saving three match points to win the second set 7-6(2) and then the third set 6-3. King said in her post-match press conference, \"I can't recall the previous time I have been so close to defeat and won. When I was down 4-5 and love-40, I told myself, 'You have been here 21 years, so use that experience and hang on.'\" In the fourth round, King upset sixth-seeded Australian Wendy Turnbull in straight sets. King then upset third-seeded Tracy Austin in the quarterfinals 3-6, 6-4, 6-2 to become the oldest female semifinalist at Wimbledon since Dorothea Douglass Lambert Chambers in 1920. This was King's first career victory over Austin after five defeats and reversed the result of their 1979 Wimbledon quarterfinal. King said in her post-match press conference, \"Today, I looked at the scoreboard when I was 2-0 in the third set and the '2' seemed to be getting bigger and bigger. In 1979, when I was up 2-0 at the same stage, I was tired and didn't have anything left. But today I felt so much better and was great mentally.\" Two days later in the semifinals, which was King's 250th career match at Wimbledon in singles, women's doubles, and mixed doubles, the second-seeded Chris Evert defeated King on her fifth match point 7-6(4), 2-6, 6-3. King was down a set and 2-1 in the second set before winning five consecutive games to even the match. King explained that she actually lost the match in the first set by failing to convert break points at 15-40 in the second and fourth games. She reached the semifinals in her final appearance at Wimbledon, losing to Andrea Jaeger 6-1, 6-1 after beating Kathy Jordan in the quarterfinals, seventh-seeded Wendy Turnbull in the fourth round, and Rosemary Casals, her longtime doubles partner, in the third round. Jaeger claims that she was highly motivated to defeat King because King had defeated Turnbull, a favorite of Jaeger's, and because King refused a towel from an attendant just before her match with Jaeger, explaining, \"I'm not going to sweat in this match.\" King became the oldest WTA player to win a singles tournament when she won the Edgbaston Cup grass court tournament in Birmingham at 39 years, 7 months and 23 days after a straight-sets victory in the final against Alycia Moulton. The final official singles match of King's career was a second round loss to Catherine Tanvier at the 1983 Australian Open.\nQuestion: Did she play at Wimbledon or any other well known events during these years?\nAnswer: In 1982, King was 38 years old and the twelfth-seed at Wimbledon.\nBackground: Daniel Irvin Rather, Jr. was born on October 31, 1931, in Wharton County, Texas, the son of Daniel Irvin Rather, Sr., a ditch digger, and the former Byrl Veda Page. The Rathers moved to Houston, where Dan attended Love Elementary School and Hamilton Middle School. He graduated in 1950 from John H. Reagan High School in Houston. In 1953, he earned a bachelor's degree in journalism from Sam Houston State University where he was editor of the school newspaper, The Houstonian.\nContext: On September 8, 2004, Rather reported on 60 Minutes Wednesday that a series of memos critical of President George W. Bush's Texas Air National Guard service record had been discovered in the personal files of Lt. Bush's former commanding officer, Lt. Col. Jerry B. Killian. Once copies of the documents were made available on the Internet, their authenticity was quickly called into question. Much of this was based on the fact that the documents were proportionally printed and displayed using other modern typographic conventions usually unavailable on military typewriters of the 1970s. The font used on the documents has characteristics that exactly match standard font features of Microsoft Word. This led to claims that the memos were forgeries. The accusations then spread over the following days into mainstream media outlets including The Washington Post, The New York Times, and the Chicago Sun-Times. Rather and CBS initially defended the story, insisting that the documents had been authenticated by experts. CBS was contradicted by some of the experts it originally cited, and later reported that its source for the documents - former Texas Army National Guard officer Lt. Col. Bill Burkett - had misled the network about how he had obtained them. On September 20, CBS retracted the story. Rather stated, \"If I knew then what I know now, I would not have gone ahead with the story as it was aired, and I certainly would not have used the documents in question.\" The controversy has been referred to by some as \"Memogate\" and \"Rathergate.\" Following an investigation commissioned by CBS, CBS fired story producer Mary Mapes and asked three other producers connected with the story to resign. Many believe Rather's retirement was hastened by this incident. On September 20, 2007, Rather was interviewed on Larry King Live commenting \"Nobody has proved that they were fraudulent, much less a forgery. ... The truth of this story stands up to this day.\"\nQuestion: <|start-PI|>Did Dan Rather do a story on the Killian documents?<|end-PI|>\nAnswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Dan Rather, a renowned American journalist, reported on a controversial story involving the Killian documents on September 8, 2004. The story, which aired on 60 Minutes Wednesday, claimed to have uncovered memos critical of President George W. Bush's Texas Air National Guard service record. These documents were allegedly found in the personal files of Lt. Col. Jerry B. Killian, Bush's former commanding officer. Rather presented the story as a major expos\u00e9, but it quickly faced scrutiny due to questions about the authenticity of the documents. The controversy surrounding the story led to a retraction by CBS and had significant consequences for Rather's career.<|start-KFI|>Rather reported on 60 Minutes Wednesday<|end-KFI|>"}

flan_v2

flan_v2_31

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: Problem: Name the Confederate warship built at Birkenhead and sunk off Cherbourg. ====== A: css alabama Q: Who wrote the novels 'Resurrection Men' and 'Fleshmarket Close'? A: ian rankin Problem: Fanny Brawne was betrothed to which English romantic poet? Answer: john keats Q: General Elections are traditionally held on which day of the week in Britain? ----- A: thursday Q: Halloumi cheese originated on which island? What is the answer? A: cyprus Mei Li: "<|start-PI|>Who directed the films, ""Bugsy Malone"" (1976) and Midnight Express (1978)?"? Shuai Zheng: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>alan parker<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nProblem: Name the Confederate warship built at Birkenhead and sunk off Cherbourg.\n======\nA: css alabama\n\n\nQ: Who wrote the novels 'Resurrection Men' and 'Fleshmarket Close'?\nA: ian rankin\n\n\nProblem: Fanny Brawne was betrothed to which English romantic poet?\nAnswer: john keats\n\n\nQ: General Elections are traditionally held on which day of the week in Britain?\n-----\nA: thursday\n\n\nQ: Halloumi cheese originated on which island?\nWhat is the answer?\n\nA: cyprus\n\n\nMei Li:\n\"<|start-PI|>Who directed the films, \"\"Bugsy Malone\"\" (1976) and Midnight Express (1978)?\"?\nShuai Zheng:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Alan Parker is a British film director, writer, and producer. He is known for his versatility in directing a wide range of film genres. Parker's career spans over four decades, with many notable works in the film industry. Two of his most famous films are \"Bugsy Malone\" (1976) and \"Midnight Express\" (1978). \"Bugsy Malone\" is a musical comedy film that features a cast of child actors, including Scott Baio and Jodie Foster. It was Parker's feature film debut and gained critical acclaim for its unique approach to the gangster movie genre. \"Midnight Express\" is a prison drama film based on the true story of Billy Hayes, an American who was imprisoned in Turkey for drug smuggling. The film won several Academy Awards and solidified Parker's reputation as a talented director.<|start-KFI|>alan parker<|end-KFI|>"}

flan_v2

flan_v2_51

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: Answer this question: where did the third punic war take place?? Tunisia Answer this question: who played the leprechaun in leprechaun in the hood?? Warwick Davis Answer this question: secret train tunnel from grand central to the waldorf-astoria?? Track 61 <|start-PI|>Answer this question: where do tornadoes happen most in the world??<|end-PI|> ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>United States<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nAnswer this question: where did the third punic war take place??\n\nTunisia\n\n\nAnswer this question: who played the leprechaun in leprechaun in the hood??\n\nWarwick Davis\n\n\nAnswer this question: secret train tunnel from grand central to the waldorf-astoria??\n\nTrack 61\n\n\n<|start-PI|>Answer this question: where do tornadoes happen most in the world??<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Tornadoes are a global phenomenon, but they are most frequent and intense in certain regions. The United States experiences the highest frequency of tornadoes due to its unique geography and climate. The combination of warm, moist air from the Gulf of Mexico and cool, dry air from Canada creates a volatile mixture that can lead to thunderstorms and tornadoes. The central and southern Great Plains, commonly known as Tornado Alley, are particularly prone to tornadoes due to the collision of these air masses. The region's flat terrain and lack of natural barriers also allow tornadoes to travel long distances without being disrupted. Other countries, such as Canada, China, and Bangladesh, also experience significant numbers of tornadoes, but the United States remains the global leader in tornado frequency and intensity.<|start-KFI|>United States<|end-KFI|>"}

flan_v2

flan_v2_69

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: QUESTION: answer this: what was the phony name that armand and val called their maid agadore during the senator's visit?? ANS: Spartacus input: What is the answer to this question? what are three functions of the skin or integument? output: Protect the body from dehydration In: who has the most fifa world cup wins?? Out: Brazil Please answer this: who won the wizard tournament in wizards of waverly place? Alex Q: Answer this question: who plays jennifer in back to the future 1?? A: Claudia Wells In: <|start-PI|>who played uncle jesse in the dukes of hazzard movie??<|end-PI|> Out: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>Willie Nelson<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nQUESTION: answer this: what was the phony name that armand and val called their maid agadore during the senator's visit??\n\nANS: Spartacus\n\ninput: What is the answer to this question? what are three functions of the skin or integument?\n\noutput: Protect the body from dehydration\n\nIn: who has the most fifa world cup wins??\n\nOut: Brazil\n\nPlease answer this: who won the wizard tournament in wizards of waverly place?\n\nAlex\n\nQ: Answer this question:\n\nwho plays jennifer in back to the future 1??\n\nA: Claudia Wells\n\nIn: <|start-PI|>who played uncle jesse in the dukes of hazzard movie??<|end-PI|>\n\nOut:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Uncle Jesse is a beloved character from the popular TV show \"The Dukes of Hazzard.\" In the 2005 film adaptation of the series, the role of Uncle Jesse Duke was played by a well-known actor and musician. This actor is known for his distinctive voice and has had a long career in both music and film. He has appeared in numerous movies and TV shows, often playing rugged, country-style characters.<|start-KFI|>Willie Nelson<|end-KFI|>"}

flan_v2

flan_v2_74

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: QUESTION: Trivia question: Nicole Kidman married which country singer in 2006? **** ANS: keith urban Mei Li: In which 2013 film did Ben Stiller reprise a role played by Danny Kaye in a 1949 film?? Shuai Zheng: secret life of walter mitty Input question: Ratu Epeli Nailatakau was sworn in as president of which country? Output answer: fiji question: Answer this question. What pieces of sporting equipment are 28 inches high and 9 inches wide answer: cricket wickets question: What is the answer: What is the correct title for the country known as San Marino? answer: most serene republic of san marino <|start-PI|>question: What is the answer: Which American group has had hit albums in the 21st. century with 'Thirteen Tales From Urban Bohemia' and 'Werlcome To The Monkey House'?<|end-PI|> answer: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>dandy warhols<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nQUESTION: Trivia question: Nicole Kidman married which country singer in 2006?\n****\nANS: keith urban\n\n\nMei Li:\nIn which 2013 film did Ben Stiller reprise a role played by Danny Kaye in a 1949 film??\nShuai Zheng:\nsecret life of walter mitty\n\n\nInput question: Ratu Epeli Nailatakau was sworn in as president of which country?\n\nOutput answer: fiji\n\n\nquestion: Answer this question.\n\nWhat pieces of sporting equipment are 28 inches high and 9 inches wide\nanswer: cricket wickets\n\n\nquestion: What is the answer: What is the correct title for the country known as San Marino?\nanswer: most serene republic of san marino\n\n\n<|start-PI|>question: What is the answer: Which American group has had hit albums in the 21st. century with 'Thirteen Tales From Urban Bohemia' and 'Werlcome To The Monkey House'?<|end-PI|>\nanswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The Dandy Warhols are an American rock band formed in Portland, Oregon in 1994. The band gained popularity in the 1990s and early 2000s with their unique blend of psychedelic rock, garage rock, and power pop. They are known for their catchy hooks, witty lyrics, and eclectic style. The Dandy Warhols have released several successful albums, including 'Thirteen Tales From Urban Bohemia' in 2000 and 'Welcome to the Monkey House' in 2003. These albums featured hit singles like 'Bohemian Like You' and 'We Used to Be Friends', which became a theme song for the TV show 'Veronica Mars'. The band's music often incorporates elements of 1960s psychedelia, 1970s glam rock, and 1980s new wave, making them a standout in the alternative rock scene of the early 21st century.<|start-KFI|>dandy warhols<|end-KFI|>"}

flan_v2

flan_v2_83

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: Input: Read this: The University of the Republic is the country's largest and most important university, with a student body of 81,774, according to the census of 2007. It was founded on 18 July 1849 in Montevideo, where most of its buildings and facilities are still located. Its current Rector is Dr. Rodrigo Arocena. The university houses 14 faculties (departments) and various institutes and schools. Many eminent Uruguayans have graduated from this university, including Carlos Vaz Ferreira, José Luis Massera, Gabriel Paternain, Mario Wschebor, Roman Fresnedo Siri, Carlos Ott and Eladio Dieste Question: In 2007 the University of the Republic had a student body of how many people? Output: 81,774 QUES: The permanent snow cover necessary for glacier formation is affected by factors such as the degree of slope on the land, amount of snowfall and the winds. Glaciers can be found in all latitudes except from 20° to 27° north and south of the equator where the presence of the descending limb of the Hadley circulation lowers precipitation so much that with high insolation snow lines reach above 6,500 m (21,330 ft). Between 19˚N and 19˚S, however, precipitation is higher and the mountains above 5,000 m (16,400 ft) usually have permanent snow. Why do mountains between 19N and 19S tend to have snow? What is the answer? ANS: precipitation is higher QUES: Despite conflicts with the rival monarchic Chetnik movement, Tito's Partisans succeeded in liberating territory, notably the "Republic of Šice". During this period, Tito held talks with Chetnik leader Draža Mihailović on 19 September and 27 October 1941. It is said that Tito ordered his forces to assist escaping Jews, and that more than 2,000 Jews fought directly for Tito. Who succeeded in liberating territory despite conflicts? ANS: Partisans Diagnosing active tuberculosis based only on signs and symptoms is difficult, as is diagnosing the disease in those who are immunosuppressed. A diagnosis of TB should, however, be considered in those with signs of lung disease or constitutional symptoms lasting longer than two weeks. A chest X-ray and multiple sputum cultures for acid-fast bacilli are typically part of the initial evaluation. Interferon-γ release assays and tuberculin skin tests are of little use in the developing world. IGRA have similar limitations in those with HIV. If it is possible to answer this question, answer it for me (else, reply "unanswerable"): What type of bacilli do interferon-y release assays look for? Ah, so.. unanswerable Question: One of the oldest cities in the United States, Boston was founded on the Shawmut Peninsula in 1630 by Puritan settlers from England. It was the scene of several key events of the American Revolution, such as the Boston Massacre, the Boston Tea Party, the Battle of Bunker Hill, and the Siege of Boston. Upon American independence from Great Britain, the city continued to be an important port and manufacturing hub, as well as a center for education and culture. Through land reclamation and municipal annexation, Boston has expanded beyond the original peninsula. Its rich history attracts many tourists, with Faneuil Hall alone drawing over 20 million visitors per year. Boston's many firsts include the United States' first public school, Boston Latin School (1635), and first subway system (1897). Try to answer this question if possible: What year was Boston founded? Answer: 1630 <|start-PI|>Question: Rajasthan is famous for its forts, carved temples, and decorated havelis, which were built by Rajput kings in pre-Muslim era Rajasthan.[citation needed] Rajasthan's Jaipur Jantar Mantar, Mehrangarh Fort and Stepwell of Jodhpur, Dilwara Temples, Chittorgarh Fort, Lake Palace, miniature paintings in Bundi, and numerous city palaces and haveli's are part of the architectural heritage of India. Jaipur, the Pink City, is noted for the ancient houses made of a type of sandstone dominated by a pink hue. In Jodhpur, maximum houses are painted blue. At Ajmer, there is white marble Bara-dari on the Anasagar lake. Jain Temples dot Rajasthan from north to south and east to west. Dilwara Temples of Mount Abu, Ranakpur Temple dedicated to Lord Adinath in Pali District, Jain temples in the fort complexes of Chittor, Jaisalmer and Kumbhalgarh, Lodurva Jain temples, Mirpur Jain Temple, Sarun Mata Temple kotputli, Bhandasar and Karni Mata Temple of Bikaner and Mandore of Jodhpur are some of the best examples.<|end-PI|> Try to answer this question if possible: Which Pali District temple is dedicated to Lord Adinath? Answer: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>Ranakpur Temple<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nInput: Read this: The University of the Republic is the country's largest and most important university, with a student body of 81,774, according to the census of 2007. It was founded on 18 July 1849 in Montevideo, where most of its buildings and facilities are still located. Its current Rector is Dr. Rodrigo Arocena. The university houses 14 faculties (departments) and various institutes and schools. Many eminent Uruguayans have graduated from this university, including Carlos Vaz Ferreira, Jos\u00e9 Luis Massera, Gabriel Paternain, Mario Wschebor, Roman Fresnedo Siri, Carlos Ott and Eladio Dieste\nQuestion: In 2007 the University of the Republic had a student body of how many people?\n\nOutput: 81,774\n\nQUES: The permanent snow cover necessary for glacier formation is affected by factors such as the degree of slope on the land, amount of snowfall and the winds. Glaciers can be found in all latitudes except from 20\u00b0 to 27\u00b0 north and south of the equator where the presence of the descending limb of the Hadley circulation lowers precipitation so much that with high insolation snow lines reach above 6,500 m (21,330 ft). Between 19\u02daN and 19\u02daS, however, precipitation is higher and the mountains above 5,000 m (16,400 ft) usually have permanent snow.\nWhy do mountains between 19N and 19S tend to have snow?\nWhat is the answer?\nANS: precipitation is higher\n\nQUES: Despite conflicts with the rival monarchic Chetnik movement, Tito's Partisans succeeded in liberating territory, notably the \"Republic of \u0160ice\". During this period, Tito held talks with Chetnik leader Dra\u017ea Mihailovi\u0107 on 19 September and 27 October 1941. It is said that Tito ordered his forces to assist escaping Jews, and that more than 2,000 Jews fought directly for Tito.\nWho succeeded in liberating territory despite conflicts?\n\nANS: Partisans\n\nDiagnosing active tuberculosis based only on signs and symptoms is difficult, as is diagnosing the disease in those who are immunosuppressed. A diagnosis of TB should, however, be considered in those with signs of lung disease or constitutional symptoms lasting longer than two weeks. A chest X-ray and multiple sputum cultures for acid-fast bacilli are typically part of the initial evaluation. Interferon-\u03b3 release assays and tuberculin skin tests are of little use in the developing world. IGRA have similar limitations in those with HIV.\nIf it is possible to answer this question, answer it for me (else, reply \"unanswerable\"): What type of bacilli do interferon-y release assays look for?\nAh, so.. unanswerable\n\nQuestion: One of the oldest cities in the United States, Boston was founded on the Shawmut Peninsula in 1630 by Puritan settlers from England. It was the scene of several key events of the American Revolution, such as the Boston Massacre, the Boston Tea Party, the Battle of Bunker Hill, and the Siege of Boston. Upon American independence from Great Britain, the city continued to be an important port and manufacturing hub, as well as a center for education and culture. Through land reclamation and municipal annexation, Boston has expanded beyond the original peninsula. Its rich history attracts many tourists, with Faneuil Hall alone drawing over 20 million visitors per year. Boston's many firsts include the United States' first public school, Boston Latin School (1635), and first subway system (1897).\nTry to answer this question if possible: What year was Boston founded?\nAnswer: 1630\n\n<|start-PI|>Question: Rajasthan is famous for its forts, carved temples, and decorated havelis, which were built by Rajput kings in pre-Muslim era Rajasthan.[citation needed] Rajasthan's Jaipur Jantar Mantar, Mehrangarh Fort and Stepwell of Jodhpur, Dilwara Temples, Chittorgarh Fort, Lake Palace, miniature paintings in Bundi, and numerous city palaces and haveli's are part of the architectural heritage of India. Jaipur, the Pink City, is noted for the ancient houses made of a type of sandstone dominated by a pink hue. In Jodhpur, maximum houses are painted blue. At Ajmer, there is white marble Bara-dari on the Anasagar lake. Jain Temples dot Rajasthan from north to south and east to west. Dilwara Temples of Mount Abu, Ranakpur Temple dedicated to Lord Adinath in Pali District, Jain temples in the fort complexes of Chittor, Jaisalmer and Kumbhalgarh, Lodurva Jain temples, Mirpur Jain Temple, Sarun Mata Temple kotputli, Bhandasar and Karni Mata Temple of Bikaner and Mandore of Jodhpur are some of the best examples.<|end-PI|>\nTry to answer this question if possible: Which Pali District temple is dedicated to Lord Adinath?\nAnswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Ranakpur Temple is a renowned Jain temple located in the Pali District of Rajasthan, India. It is one of the most famous and beautiful Jain temples in the country. The temple is dedicated to Lord Adinath, also known as Rishabhanatha, who is the first Jain Tirthankara. The temple is known for its intricate carvings, ornate architecture, and stunning sculptures. It was built in the 15th century and is considered one of the five most important Jain pilgrimage sites in India. The temple complex houses several smaller shrines and is surrounded by beautiful gardens and a peaceful atmosphere. It is a popular tourist destination and a significant cultural and religious site in Rajasthan.<|start-KFI|>Ranakpur Temple<|end-KFI|>"}

flan_v2

flan_v2_88

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: question: Answer this question. <|start-PI|>Which French soldier was the Supreme Allied Commander at the end of World War I?<|end-PI|> answer: ferdinand foch question: Answer this question. In 1978 following a public campaign to restore it, the following nine gave $27,777 for each of its components: Terrence Donnelly, Giovanni Mazza (Italian movie producer), Les Kelley, Gene Autry, Hugh Hefner, Andy Williams, Warner Bros. Records, Alice Cooper and Thomas Pooley. It was a campaign to preserve what nine letter symbol? answer: hollywood sign question: Answer this question. <|start-PI|>Which area of Czechoslovakia was transferred to Germany after the Munich Conference of September 1938?<|end-PI|> answer: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>sudetenland<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nquestion: Answer this question.\n\n<|start-PI|>Which French soldier was the Supreme Allied Commander at the end of World War I?<|end-PI|>\nanswer: ferdinand foch\nquestion: Answer this question.\n\nIn 1978 following a public campaign to restore it, the following nine gave $27,777 for each of its components: Terrence Donnelly, Giovanni Mazza (Italian movie producer), Les Kelley, Gene Autry, Hugh Hefner, Andy Williams, Warner Bros. Records, Alice Cooper and Thomas Pooley. It was a campaign to preserve what nine letter symbol?\nanswer: hollywood sign\nquestion: Answer this question.\n\n<|start-PI|>Which area of Czechoslovakia was transferred to Germany after the Munich Conference of September 1938?<|end-PI|>\nanswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The Sudetenland was a region in Czechoslovakia that was predominantly inhabited by ethnic Germans. In 1938, Adolf Hitler, the leader of Nazi Germany, began to make aggressive demands for the annexation of this territory. The Munich Conference, held on September 30, 1938, was a meeting between Germany, Italy, France, and the United Kingdom. During this conference, the major European powers agreed to allow Germany to annex the Sudetenland, hoping to avoid war. This decision was seen as a betrayal of Czechoslovakia and is often viewed as a failed attempt at appeasement. The annexation of the Sudetenland marked the beginning of Germany's aggressive expansion in Europe, which ultimately led to the outbreak of World War II.<|start-KFI|>sudetenland<|end-KFI|>"}

flan_v2

flan_v2_94

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: Problem: *Fitzbillies eatType restaurant; Fitzbillies food Chinese; Fitzbillies near The Six Bells* A: Fitzbillies is by The Six Bells. The pricing on food is high. It is a Chinese restaurant. Problem: *5 NAME Magnus Larssen; Austevoll; Magnus Larssen OFFICE 1935-1937; NUMBER 5; Magnus Larssen PROFESSION School teacher* A: Magnus Larssen was a school teacher prior to taking office as mayor of Austevoll from 1935-1937. Problem: *300 North LaSalle LOCATION Chicago; Chicago LEADER_NAME Rahm Emanuel; Chicago COUNTRY United States; Chicago IS_PART_OF Illinois* A: 300 North Lasalle is located in Chicago, Illinois, United States. The leader of Chicago is Rahm Emanuel. <|start-PI|>Problem: *Fresno State COACH Pete Beiden*<|end-PI|> A: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>Pete Beiden is the head coach of Fresno State's baseball team.<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nProblem: *Fitzbillies eatType restaurant; Fitzbillies food Chinese; Fitzbillies near The Six Bells*\nA: Fitzbillies is by The Six Bells. The pricing on food is high. It is a Chinese restaurant.\nProblem: *5 NAME Magnus Larssen; Austevoll; Magnus Larssen OFFICE 1935-1937; NUMBER 5; Magnus Larssen PROFESSION School teacher*\nA: Magnus Larssen was a school teacher prior to taking office as mayor of Austevoll from 1935-1937.\nProblem: *300 North LaSalle LOCATION Chicago; Chicago LEADER_NAME Rahm Emanuel; Chicago COUNTRY United States; Chicago IS_PART_OF Illinois*\nA: 300 North Lasalle is located in Chicago, Illinois, United States. The leader of Chicago is Rahm Emanuel.\n<|start-PI|>Problem: *Fresno State COACH Pete Beiden*<|end-PI|>\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Pete Beiden is a well-known figure in college baseball. He has been the head coach of Fresno State's baseball team for several years, leading the Bulldogs to multiple successful seasons. Under his guidance, the team has consistently performed well in conference play and has made appearances in regional tournaments. Coach Beiden is highly respected in the college baseball community for his ability to develop young talent and create a strong team culture.<|start-KFI|>Pete Beiden is the head coach of Fresno State's baseball team.<|end-KFI|>"}

flan_v2

flan_v2_129

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: Mei Li: The deeply inaccessible lakes Vostok, Whillans, and Ellsworth are in the?? Shuai Zheng: south pole Mei Li: Which seaside resort had Britain's first no smoking beach? Shuai Zheng: bournemouth Mei Li: <|start-PI|>'MC' are the international vehicle registration letters for which country??<|end-PI|> Shuai Zheng: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>monaco<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nMei Li:\nThe deeply inaccessible lakes Vostok, Whillans, and Ellsworth are in the??\nShuai Zheng:\nsouth pole\nMei Li:\nWhich seaside resort had Britain's first no smoking beach?\nShuai Zheng:\nbournemouth\nMei Li:\n<|start-PI|>'MC' are the international vehicle registration letters for which country??<|end-PI|>\nShuai Zheng:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Monaco is a sovereign city-state located on the French Riviera. It is known for its picturesque harbor, luxurious casinos, and Formula One racing. Monaco has a unique international vehicle registration system, which assigns the letters 'MC' to vehicles registered in the country. This system is recognized globally and is used to identify vehicles from Monaco when they are driven abroad. The 'MC' registration letters are a distinctive feature of Monaco's vehicles and are often seen on cars, motorcycles, and other vehicles registered in the country.<|start-KFI|>monaco<|end-KFI|>"}

flan_v2

flan_v2_157

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: Problem: Background: Joshua Daniel White (February 11, 1914 - September 5, 1969) was an American singer, guitarist, songwriter, actor and civil rights activist. He also recorded under the names Pinewood Tom and Tippy Barton in the 1930s. White grew up in the South during the 1920s and 1930s. He became a prominent race records artist, with a prolific output of recordings in genres including Piedmont blues, country blues, gospel music, and social protest songs. Context: White was in many senses a trailblazer: popular country bluesman in the early 1930s, responsible for introducing a mass white audience to folk-blues in the 1940s, and the first black singer-guitarist to star in Hollywood films and on Broadway. On one hand he was famous for his civil rights songs, which made him a favorite of the Roosevelts, and on the other he was known for his sexy stage persona (a first for a black male artist). He was the first black singer to give a White House command performance (1941), to perform in previously segregated hotels (1942), to get a million-selling record ("One Meatball", 1944), and the first to make a solo concert tour of America (1945). He was also the first folk and blues artist to perform in a nightclub, the first to tour internationally, and (along with Lead Belly and Woody Guthrie) the first to be honored with a US postage stamp. White and Libby Holman became the first mixed-race male and female artists to perform together, record together and tour together in previously segregated venues across the United States. They continued performing off and on for the next six years, while making an album and a film together. White was seen as an influence on hundreds of artists of diverse musical styles, including: Pete Seeger, Lee Hays, Oscar Brand, Ed McCurdy, Lonnie Donegan, Alexis Korner, Cy Coleman, Elvis Presley, Merle Travis, Joel Grey, Bob Gibson, Dave Van Ronk, Phish, Clancy Brothers and Tommy Makem, Shel Silverstein, John Fahey, Bob Dylan, Peter, Paul and Mary, Judy Collins, Roger McGuinn, David Crosby, Mike Bloomfield, Danny Kalb, Ry Cooder, John Fogerty, Don McLean, Robert Plant and Eva Cassidy; in addition to those African-American artists, such as Blind Boy Fuller, Robert Johnson, Brownie McGhee, Lena Horne, Nat King Cole, Pearl Primus, Josephine Premice, Eartha Kitt, Harry Belafonte, Odetta, Ray Charles, Josh White, Jr., Jackie Washington, the Chambers Brothers, and Richie Havens, who in the footsteps of White were also able to break considerable barriers that had hampered African-American artists in the past. Question: What was he Answer: first black singer to give a White House Problem: Background: Portugal. The Man is an American rock band from Wasilla, Alaska, currently residing in Portland, Oregon. The group consists of lead singer John Baldwin Gourley, Gourley's partner & back-up singer Zoe Manville, Zach Carothers, Kyle O'Quin, Jason Sechrist and Eric Howk. Gourley and Carothers met and began playing music together in 2001 at Wasilla High School in Wasilla. Context: In November 2014, Portugal. The Man were in the studio recording their eighth album with Mike D from The Beastie Boys producing. The band also actively updated their Instagram account with pictures of them in the studio with Mike D, as well as showcasing small teasers of what their new album would sound like. Mac Miller was also shown working with the band as well. The first week of May, 2015, the band released teasers on social networks of what appeared to be new music with a Latin twist with huapango guitars, dream synths and drums machines. On May 5, Portugal. The Man released a Spanish version of "Purple Yellow Red and Blue" covered by a Mexican-American band called The Chamanas on their official YouTube channel to celebrate the Mexican festivities (Cinco de Mayo). On December 31, 2015, Portugal. The Man posted to their website that they had completed two records followed by separate hashtags #Gloomin + #Doomin. However, on February 3, 2016, the band tweeted from their official account that the new record would be entitled Gloomin + Doomin. In February 2016 Portugal. the Man were featured on the Yoko Ono collaboration album Yes, I'm A Witch Too performing "Soul Got Out of the Box". On November 30, 2016, Triple J radio debuted Portugal. The Man's new song "Noise Pollution". It was released as a single, "Noise Pollution [Version A, Vocal Up Mix 1.3]", on December 2, and featured Mary Elizabeth Winstead and Zoe Manville. On March 3, 2017, the band released a single titled "Feel It Still", which was followed by the release of an accompanying music video three days later. It was revealed that Gloomin + Doomin "failed to complete" and was thrown out after three years. They have since completed another album, titled Woodstock, which is promoted by "Feel It Still". The album's title was inspired by an original 1969 Woodstock music festival ticket stub owned by Gourley's father. It led Gourley to a realization that almost 50 years later, music has the same mission as then - "to comment on societal and political unease." "We worked with so many rad people on this album, but ended up with just the four of us in a basement at 4 a.m. trying to say something that mattered," said Gourley. "Trying to write music that would help people feel they're not alone, even if they're angry or feeling lost." Woodstock was released on June 16, 2017. John Gourley and Zoe Manville married on New Year's Eve 2017. "Feel It Still" became the band's biggest hit single to date in the United States, reaching #1 on the Billboard Alternative Songs, Hot 100 Airplay, and Pop Songs charts and becoming a Top 5 hit on the Billboard Hot 100. On January 28, 2018, "Feel It Still" won Best Pop Duo/Group Performance at the 60th Annual Grammy Awards. The band also won the ASCAP Vanguard music award at the pop awards March 2018. "Live In The Moment" became a #1 track on the Billboard Alternative Songs chart during the week of March 26, 2018. It additionally gained the honor of the track with the most spins (plays) during a week's time, that has ever been recorded on Alternative radio at 3,503. Question: What happened in 2014? Answer: ##ASSISTANT_RESPONSE: <|start-PI|>In November 2014,<|end-PI|> <|retrieval|><|start-KFI|>Portugal. The Man were in the studio recording their eighth album<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nProblem: Background: Joshua Daniel White (February 11, 1914 - September 5, 1969) was an American singer, guitarist, songwriter, actor and civil rights activist. He also recorded under the names Pinewood Tom and Tippy Barton in the 1930s. White grew up in the South during the 1920s and 1930s. He became a prominent race records artist, with a prolific output of recordings in genres including Piedmont blues, country blues, gospel music, and social protest songs.\nContext: White was in many senses a trailblazer: popular country bluesman in the early 1930s, responsible for introducing a mass white audience to folk-blues in the 1940s, and the first black singer-guitarist to star in Hollywood films and on Broadway. On one hand he was famous for his civil rights songs, which made him a favorite of the Roosevelts, and on the other he was known for his sexy stage persona (a first for a black male artist). He was the first black singer to give a White House command performance (1941), to perform in previously segregated hotels (1942), to get a million-selling record (\"One Meatball\", 1944), and the first to make a solo concert tour of America (1945). He was also the first folk and blues artist to perform in a nightclub, the first to tour internationally, and (along with Lead Belly and Woody Guthrie) the first to be honored with a US postage stamp. White and Libby Holman became the first mixed-race male and female artists to perform together, record together and tour together in previously segregated venues across the United States. They continued performing off and on for the next six years, while making an album and a film together. White was seen as an influence on hundreds of artists of diverse musical styles, including: Pete Seeger, Lee Hays, Oscar Brand, Ed McCurdy, Lonnie Donegan, Alexis Korner, Cy Coleman, Elvis Presley, Merle Travis, Joel Grey, Bob Gibson, Dave Van Ronk, Phish, Clancy Brothers and Tommy Makem, Shel Silverstein, John Fahey, Bob Dylan, Peter, Paul and Mary, Judy Collins, Roger McGuinn, David Crosby, Mike Bloomfield, Danny Kalb, Ry Cooder, John Fogerty, Don McLean, Robert Plant and Eva Cassidy; in addition to those African-American artists, such as Blind Boy Fuller, Robert Johnson, Brownie McGhee, Lena Horne, Nat King Cole, Pearl Primus, Josephine Premice, Eartha Kitt, Harry Belafonte, Odetta, Ray Charles, Josh White, Jr., Jackie Washington, the Chambers Brothers, and Richie Havens, who in the footsteps of White were also able to break considerable barriers that had hampered African-American artists in the past.\nQuestion: What was he\nAnswer: first black singer to give a White House\n\nProblem: Background: Portugal. The Man is an American rock band from Wasilla, Alaska, currently residing in Portland, Oregon. The group consists of lead singer John Baldwin Gourley, Gourley's partner & back-up singer Zoe Manville, Zach Carothers, Kyle O'Quin, Jason Sechrist and Eric Howk. Gourley and Carothers met and began playing music together in 2001 at Wasilla High School in Wasilla.\nContext: In November 2014, Portugal. The Man were in the studio recording their eighth album with Mike D from The Beastie Boys producing. The band also actively updated their Instagram account with pictures of them in the studio with Mike D, as well as showcasing small teasers of what their new album would sound like. Mac Miller was also shown working with the band as well. The first week of May, 2015, the band released teasers on social networks of what appeared to be new music with a Latin twist with huapango guitars, dream synths and drums machines. On May 5, Portugal. The Man released a Spanish version of \"Purple Yellow Red and Blue\" covered by a Mexican-American band called The Chamanas on their official YouTube channel to celebrate the Mexican festivities (Cinco de Mayo). On December 31, 2015, Portugal. The Man posted to their website that they had completed two records followed by separate hashtags #Gloomin + #Doomin. However, on February 3, 2016, the band tweeted from their official account that the new record would be entitled Gloomin + Doomin. In February 2016 Portugal. the Man were featured on the Yoko Ono collaboration album Yes, I'm A Witch Too performing \"Soul Got Out of the Box\". On November 30, 2016, Triple J radio debuted Portugal. The Man's new song \"Noise Pollution\". It was released as a single, \"Noise Pollution [Version A, Vocal Up Mix 1.3]\", on December 2, and featured Mary Elizabeth Winstead and Zoe Manville. On March 3, 2017, the band released a single titled \"Feel It Still\", which was followed by the release of an accompanying music video three days later. It was revealed that Gloomin + Doomin \"failed to complete\" and was thrown out after three years. They have since completed another album, titled Woodstock, which is promoted by \"Feel It Still\". The album's title was inspired by an original 1969 Woodstock music festival ticket stub owned by Gourley's father. It led Gourley to a realization that almost 50 years later, music has the same mission as then - \"to comment on societal and political unease.\" \"We worked with so many rad people on this album, but ended up with just the four of us in a basement at 4 a.m. trying to say something that mattered,\" said Gourley. \"Trying to write music that would help people feel they're not alone, even if they're angry or feeling lost.\" Woodstock was released on June 16, 2017. John Gourley and Zoe Manville married on New Year's Eve 2017. \"Feel It Still\" became the band's biggest hit single to date in the United States, reaching #1 on the Billboard Alternative Songs, Hot 100 Airplay, and Pop Songs charts and becoming a Top 5 hit on the Billboard Hot 100. On January 28, 2018, \"Feel It Still\" won Best Pop Duo/Group Performance at the 60th Annual Grammy Awards. The band also won the ASCAP Vanguard music award at the pop awards March 2018. \"Live In The Moment\" became a #1 track on the Billboard Alternative Songs chart during the week of March 26, 2018. It additionally gained the honor of the track with the most spins (plays) during a week's time, that has ever been recorded on Alternative radio at 3,503.\nQuestion: What happened in 2014?\nAnswer:\n\n##ASSISTANT_RESPONSE:\n<|start-PI|>In November 2014,<|end-PI|> <|retrieval|>Portugal. The Man began working on their eighth studio album. This marked a significant milestone in their career, as they were collaborating with Mike D from The Beastie Boys, a renowned producer. The band was actively documenting their progress on social media, sharing behind-the-scenes glimpses of their recording process. This included posting photos with Mike D on their Instagram account, as well as teasers of their new music. The band was also experimenting with new sounds, incorporating elements of Latin music into their style. This period marked an exciting time for Portugal. The Man, as they were pushing the boundaries of their sound and preparing to release new material to their fans.<|start-KFI|>Portugal. The Man were in the studio recording their eighth album<|end-KFI|>"}

flan_v2

flan_v2_173

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: Q: Which branch of philosophy, derived from the Greek word for a porch was founded by Zeno of Citium? What is the answer? A: stoicism Q: What sort of holiday was the subject of 'Three Men on the Bummel' (1900)? What is the answer? A: cycling tour Q: What is the only Arab country without a desert What is the answer? A: lebanon <|start-PI|>Q: What type of game is Faro? What is the answer?<|end-PI|> A: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>card game<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nQ: Which branch of philosophy, derived from the Greek word for a porch was founded by Zeno of Citium?\nWhat is the answer?\n\nA: stoicism\n\nQ: What sort of holiday was the subject of 'Three Men on the Bummel' (1900)?\nWhat is the answer?\n\nA: cycling tour\n\nQ: What is the only Arab country without a desert\nWhat is the answer?\n\nA: lebanon\n\n<|start-PI|>Q: What type of game is Faro?\nWhat is the answer?<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Faro is a popular card game that originated in Europe in the 17th century. It was particularly popular in the United States during the 19th century, especially in the Wild West era. The game is known for its fast-paced action and high stakes. Faro was often played in saloons and gambling halls, and its popularity led to the creation of specialized Faro tables and equipment. Despite its decline in popularity in the 20th century, Faro remains an interesting piece of gaming history.<|start-KFI|>card game<|end-KFI|>"}

flan_v2

flan_v2_225

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: when does my friend dahmer movie come out to theaters??? Answer: release it in the fall Question: who plays brooke in bring it on in it to win it? Answer: Cassandra Scerbo Answer this question: where did the attack on fort sumter take place?? Charleston Harbor Q: when did us troops first go to vietnam?A: May 1, 1950 Input: what is the name of the semi fluid medium inside the cell? Output: "protoplasm" <|start-PI|>Please answer this: who plays dickens in the man who invented christmas???<|end-PI|> ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>Dan Stevens<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nwhen does my friend dahmer movie come out to theaters???\n\nAnswer: release it in the fall\n\nQuestion: who plays brooke in bring it on in it to win it?\n\nAnswer: Cassandra Scerbo\n\nAnswer this question: where did the attack on fort sumter take place??\n\nCharleston Harbor\n\nQ: when did us troops first go to vietnam?A: May 1, 1950\n\nInput: what is the name of the semi fluid medium inside the cell?\n\nOutput: \"protoplasm\"\n\n<|start-PI|>Please answer this: who plays dickens in the man who invented christmas???<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Dan Stevens is a British actor who portrayed Charles Dickens in the 2017 film \"The Man Who Invented Christmas.\" This biographical drama explores Dickens' life and creative process while writing his famous novel \"A Christmas Carol.\" Stevens' performance as Dickens received positive reviews from critics, capturing the author's wit and emotional depth. The film also stars Christopher Plummer as Ebenezer Scrooge and Jonathan Pryce as Dickens' father.<|start-KFI|>Dan Stevens<|end-KFI|>"}

flan_v2

flan_v2_253

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: in: By. Rob Cooper. PUBLISHED:. 04:31 EST, 4 June 2013. |. UPDATED:. 05:18 EST, 4 June 2013. Curiosity may have killed the cat but it caused just a little bit of embarrassment for this inquisitive cow. The animal got its head stuck in a tree in the middle of a field in Monkmoor, Shropshire, yesterday afternoon. It took a team of six firefighters from Shropshire Fire and Rescue an hour-and-a-half to free the young bullock. Trapped: The bullock with its head stuck in the tree in the field in Shrewsbury. It later had to be rescued by the fire brigade using a specialist animal harness. Emergency workers initially tried to free the. animal using strops but were forced to admit defeat and use a harness. and a crane instead. Pictures taken at the scene show the team of firemen gathering around the hapless cow with specialist animal rescue equipment. After being winched up and released. from the tree, the animal was said to be distressed but uninjured and. was later reunited with it's herd in a nearby field. Neil Grove, Shrewsbury station manager for Shropshire Fire and Rescue Service, said: 'It was a very strange incident indeed. Rescue mission: Five firefighters surround the bullock as it is fitted with the specialist harness and attacked to a crane. The bullock was later lifted up and released from the tree distressed but uninjured. 'What he was looking for, I don’t know. and we don’t know how long he was in there. Manual lifting didn’t work. because of the way his head was trapped. 'It's normal to cover animals’ heads. during rescues to keep them in the dark for as long as possible -. because this helps them to stay calm. 'But on this occasion, with the cow’s. head in the tree it was not really necessary. His head was in the bottom. of the tree which was quite dark. 'He was relatively calm while we were. there. The cow ran off once we got him out – he didn’t stay around to. thank us. He was bemused but appeared uninjured.' A spokesman for Shropshire Fire and. Rescue Service added: 'On arrival the officer in charge. assessed the situation and attempts were made initially to release the. animal using strops and various equipment from the Shrewsbury. appliance. 'These attempts proved unsuccessful,. so a specialist large animal harness, with a quick release mechanism,. was used in conjunction with the Hiab crane on the rescue tender. 'The cow was successfully lifted up and released from the tree.' out: The animal was rescued from a field in Monkmoor in Shropshire. It took a team of six firemen an hour-and-a-half to free the young bullock. Question: Winston Churchill urged the United States to launch a nuclear attack on the Soviet Union to win the Cold War, a newly released document reveals. The previously unseen memorandum from the FBI archives details how Britain's wartime leader made his views known to a visiting American politician in 1947. Churchill believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West. Russian leader Joseph Stalin (left) and Winston Churchill (right) in 1945 - he urged the US to launch a nuclear attack on the Soviet Union to win the Cold War. The note, written by an FBI agent, reports that Churchill urged Right-wing Republican Senator Styles Bridges to persuade President Harry Truman to launch a nuclear attack which would 'wipe out' the Kremlin and make the Soviet Union a 'very easy problem' to deal with. The Russians would have been defenceless against a nuclear attack at that time – they did not successfully test their own atomic bomb until 1949. Britain and the Soviet Union had been allies in the Second World War until 1945, the year Churchill lost office as Prime Minister. But he was one of the first international statesmen to recognise the post-war threat posed by the USSR, and in 1946 made a famous speech in Fulton, Missouri, about an 'iron curtain' having descended across Europe as Joseph Stalin consolidated his grip on the eastern half of the continent. The FBI document shows Churchill's belligerence towards Britain's former wartime ally ran so deep that he was prepared to tolerate the deaths of hundreds of thousands of Soviet civilians in a nuclear strike. Churchill believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West. The memo claims Churchill 'stated that the only salvation for the civilisation of the world would be if the President of the United States would declare Russia to be imperilling world peace and attack Russia'. The note continues: 'He pointed out that if an atomic bomb could be dropped on the Kremlin, wiping it out, it would be a very easy problem to handle the balance of Russia, which would be without direction. ' <|start-PI|>Churchill believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West.<|end-PI|> <|retrieval|><|start-KFI|>He urged Senator Styles Bridges to persuade President Harry Truman to launch a nuclear attack. He believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West.<|end-KFI|> What are the important parts of this article? Important parts: ##ASSISTANT_RESPONSE: <|start-PI|>Britain's war-time leader urged the US to launch a nuclear attack on the Soviet Union to win the Cold War.<|end-PI|> <|retrieval|><|start-KFI|>He urged Senator Styles Bridges to persuade President Harry Truman to launch a nuclear attack. He believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West.<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nin: By. Rob Cooper. PUBLISHED:. 04:31 EST, 4 June 2013. |. UPDATED:. 05:18 EST, 4 June 2013. Curiosity may have killed the cat but it caused just a little bit of embarrassment for this inquisitive cow. The animal got its head stuck in a tree in the middle of a field in Monkmoor, Shropshire, yesterday afternoon. It took a team of six firefighters from Shropshire Fire and Rescue an hour-and-a-half to free the young bullock. Trapped: The bullock with its head stuck in the tree in the field in Shrewsbury. It later had to be rescued by the fire brigade using a specialist animal harness. Emergency workers initially tried to free the. animal using strops but were forced to admit defeat and use a harness. and a crane instead. Pictures taken at the scene show the team of firemen gathering around the hapless cow with specialist animal rescue equipment. After being winched up and released. from the tree, the animal was said to be distressed but uninjured and. was later reunited with it's herd in a nearby field. Neil Grove, Shrewsbury station manager for Shropshire Fire and Rescue Service, said: 'It was a very strange incident indeed. Rescue mission: Five firefighters surround the bullock as it is fitted with the specialist harness and attacked to a crane. The bullock was later lifted up and released from the tree distressed but uninjured. 'What he was looking for, I don’t know. and we don’t know how long he was in there. Manual lifting didn’t work. because of the way his head was trapped. 'It's normal to cover animals’ heads. during rescues to keep them in the dark for as long as possible -. because this helps them to stay calm. 'But on this occasion, with the cow’s. head in the tree it was not really necessary. His head was in the bottom. of the tree which was quite dark. 'He was relatively calm while we were. there. The cow ran off once we got him out – he didn’t stay around to. thank us. He was bemused but appeared uninjured.' A spokesman for Shropshire Fire and. Rescue Service added: 'On arrival the officer in charge. assessed the situation and attempts were made initially to release the. animal using strops and various equipment from the Shrewsbury. appliance. 'These attempts proved unsuccessful,. so a specialist large animal harness, with a quick release mechanism,. was used in conjunction with the Hiab crane on the rescue tender. 'The cow was successfully lifted up and released from the tree.'\nout: The animal was rescued from a field in Monkmoor in Shropshire. It took a team of six firemen an hour-and-a-half to free the young bullock.\nQuestion: Winston Churchill urged the United States to launch a nuclear attack on the Soviet Union to win the Cold War, a newly released document reveals. The previously unseen memorandum from the FBI archives details how Britain's wartime leader made his views known to a visiting American politician in 1947. Churchill believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West. Russian leader Joseph Stalin (left) and Winston Churchill (right) in 1945 - he urged the US to launch a nuclear attack on the Soviet Union to win the Cold War. The note, written by an FBI agent, reports that Churchill urged Right-wing Republican Senator Styles Bridges to persuade President Harry Truman to launch a nuclear attack which would 'wipe out' the Kremlin and make the Soviet Union a 'very easy problem' to deal with. The Russians would have been defenceless against a nuclear attack at that time – they did not successfully test their own atomic bomb until 1949. Britain and the Soviet Union had been allies in the Second World War until 1945, the year Churchill lost office as Prime Minister. But he was one of the first international statesmen to recognise the post-war threat posed by the USSR, and in 1946 made a famous speech in Fulton, Missouri, about an 'iron curtain' having descended across Europe as Joseph Stalin consolidated his grip on the eastern half of the continent. The FBI document shows Churchill's belligerence towards Britain's former wartime ally ran so deep that he was prepared to tolerate the deaths of hundreds of thousands of Soviet civilians in a nuclear strike. Churchill believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West. The memo claims Churchill 'stated that the only salvation for the civilisation of the world would be if the President of the United States would declare Russia to be imperilling world peace and attack Russia'. The note continues: 'He pointed out that if an atomic bomb could be dropped on the Kremlin, wiping it out, it would be a very easy problem to handle the balance of Russia, which would be without direction. '\n<|start-PI|>Churchill believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West.<|end-PI|> <|retrieval|>Winston Churchill, the former British Prime Minister, held strong anti-communist views and saw the Soviet Union as a significant threat to Western civilization. In 1947, he expressed his concerns to Senator Styles Bridges, urging him to persuade President Harry Truman to take drastic action against the Soviet Union. Churchill believed that a nuclear attack on the Soviet Union could be the only way to prevent the spread of communism in Europe and beyond. He was willing to consider extreme measures, including the potential loss of hundreds of thousands of lives, to achieve this goal. This stance reflects Churchill's hawkish approach to dealing with the Soviet Union during the early years of the Cold War.<|start-KFI|>He urged Senator Styles Bridges to persuade President Harry Truman to launch a nuclear attack. He believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West.<|end-KFI|>\n\nWhat are the important parts of this article?\nImportant parts:\n\n##ASSISTANT_RESPONSE:\n<|start-PI|>Britain's war-time leader urged the US to launch a nuclear attack on the Soviet Union to win the Cold War.<|end-PI|> <|retrieval|>Winston Churchill, the former British Prime Minister, held strong anti-communist views and saw the Soviet Union as a significant threat to Western civilization. In 1947, he expressed his concerns to Senator Styles Bridges, urging him to persuade President Harry Truman to take drastic action against the Soviet Union. Churchill believed that a nuclear attack on the Soviet Union could be the only way to prevent the spread of communism in Europe and beyond. He was willing to consider extreme measures, including the potential loss of hundreds of thousands of lives, to achieve this goal. This stance reflects Churchill's hawkish approach to dealing with the Soviet Union during the early years of the Cold War.<|start-KFI|>He urged Senator Styles Bridges to persuade President Harry Truman to launch a nuclear attack. He believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West.<|end-KFI|>"}

flan_v2

flan_v2_268

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: what tanks were used in the battle of the bulge movie??? Answer: M47 Pattons when did the house of lords change to supreme court??? Answer: 1 October 2009 who wrote take a little piece of my heart??? Answer: Bert Berns <|start-PI|>where is the 18th congressional district in pennsylvania???<|end-PI|> Answer: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>southern suburbs of Pittsburgh<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nwhat tanks were used in the battle of the bulge movie???\n\nAnswer: M47 Pattons\n\nwhen did the house of lords change to supreme court???\n\nAnswer: 1 October 2009\n\nwho wrote take a little piece of my heart???\n\nAnswer: Bert Berns\n\n<|start-PI|>where is the 18th congressional district in pennsylvania???<|end-PI|>\n\nAnswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The 18th congressional district in Pennsylvania is located in the southwestern part of the state. It covers a significant portion of Allegheny County, which is home to Pittsburgh. The district includes many of the city's southern suburbs, stretching from the Monongahela River to the Westmoreland County border. This area is known for its diverse communities, ranging from urban neighborhoods to rural towns. The 18th congressional district has played a crucial role in Pennsylvania's politics, with its residents often influencing the state's representation in the U.S. House of Representatives.<|start-KFI|>southern suburbs of Pittsburgh<|end-KFI|>"}

flan_v2

flan_v2_280

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: question: What is the answer: "In which country was Pol Pot Prime Minister from 1976 to 1979 and leader of the communist movement known as the ""Khmer Rouge""?" answer: cambodia question: What is the answer: In which British city is Anderston Railway Station? answer: glasgow question: What is the answer: Which body of water separates Borneo from the Malay Peninsula? answer: south china sea <|start-PI|>question: What is the answer: Which actress was born Marjorie Robertson in 1904?<|end-PI|> answer: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>dame anna neagle<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nquestion: What is the answer: \"In which country was Pol Pot Prime Minister from 1976 to 1979 and leader of the communist movement known as the \"\"Khmer Rouge\"\"?\"\nanswer: cambodia\n\nquestion: What is the answer: In which British city is Anderston Railway Station?\nanswer: glasgow\n\nquestion: What is the answer: Which body of water separates Borneo from the Malay Peninsula?\nanswer: south china sea\n\n<|start-PI|>question: What is the answer: Which actress was born Marjorie Robertson in 1904?<|end-PI|>\nanswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Dame Anna Neagle was a renowned British actress, singer, and dancer who had a long and successful career in film, television, and theater. Born Marjorie Robertson on October 20, 1904, in Forest Gate, London, England, she began her career as a chorus girl in the 1920s. Neagle's breakthrough came in the 1930s with her starring roles in several British musical films, earning her the nickname \"Britain's Sweetheart.\" Throughout her career, she appeared in over 60 films, including \"Nell Gwynn\" and \"Odette,\" and was known for her charming on-screen presence and powerful singing voice. Neagle was also recognized for her contributions to the war effort during World War II, entertaining troops and raising morale. She continued to perform until her retirement in the 1960s and passed away on June 3, 1986, at the age of 81.<|start-KFI|>dame anna neagle<|end-KFI|>"}

flan_v2

flan_v2_378

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: Problem: In navigation, what is the process of estimating one's current position based upon a previously determined position and advancing it using estimated speed over elapsed time, and course? ====== A: dead reckoning Problem: In which English county is Westonbirt, home of the Forestry Commission National Arboretum? ====== A: gloucestershire Problem: How many presidents have been assassinated? ====== A: four <|start-PI|>Problem: In traditional English pantomime, which shrewd, witty, light-hearted character vied with Pierrot for the affection of Columbine, and was based on the Commedia Dell'Arte character Arlecchino?<|end-PI|> ====== A: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>harlequin<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nProblem: In navigation, what is the process of estimating one's current position based upon a previously determined position and advancing it using estimated speed over elapsed time, and course?\n======\nA: dead reckoning\n\n\nProblem: In which English county is Westonbirt, home of the Forestry Commission National Arboretum?\n======\nA: gloucestershire\n\n\nProblem: How many presidents have been assassinated?\n======\nA: four\n\n\n<|start-PI|>Problem: In traditional English pantomime, which shrewd, witty, light-hearted character vied with Pierrot for the affection of Columbine, and was based on the Commedia Dell'Arte character Arlecchino?<|end-PI|>\n======\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Harlequin is a beloved character in traditional English pantomime. This mischievous and agile figure is known for his colorful diamond-patterned costume and his ability to play tricks on other characters. In pantomime, Harlequin is often depicted as a rival to Pierrot for the affections of Columbine, a beautiful and charming young woman. Harlequin's origins can be traced back to the Commedia Dell'Arte, an Italian theatrical tradition that dates back to the 16th century. In this tradition, Harlequin was known as Arlecchino, a cunning and quick-witted servant character. The English pantomime adaptation of Harlequin retained many of these characteristics, making him a popular and enduring figure in British theater.<|start-KFI|>harlequin<|end-KFI|>"}

flan_v2

flan_v2_445

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: Problem: Where were the first World Athletics Championships held? ====== A: helsinki Problem: What is George W Bush's middle name? ====== A: walker Problem: Arsenal midfielder Tomas Rosicky plays for which international team? ====== A: czech republic <|start-PI|>Problem: What beverage is made from fermented honey?<|end-PI|> ====== A: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>mead<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nProblem: Where were the first World Athletics Championships held?\n======\nA: helsinki\n\n\nProblem: What is George W Bush's middle name?\n======\nA: walker\n\n\nProblem: Arsenal midfielder Tomas Rosicky plays for which international team?\n======\nA: czech republic\n\n\n<|start-PI|>Problem: What beverage is made from fermented honey?<|end-PI|>\n======\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Mead is a traditional fermented beverage made from honey. It has been produced for thousands of years and is often associated with ancient cultures. The process of making mead involves fermenting honey with water and sometimes additional ingredients like fruits, spices, or grains. This fermentation process converts the sugars in the honey into alcohol, creating a unique and flavorful drink. Mead can range in style from dry to sweet and can be still or carbonated. It is often enjoyed as a standalone beverage or used in cocktails.<|start-KFI|>mead<|end-KFI|>"}

flan_v2

flan_v2_447

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: QUESTION: Trivia question: Which US President officially opened the Empire State Building in New York? **** ANS: herbert hoover Mei Li: What was the first name of Stradivari, who lived 1644-1737, and is famous as a manufacturer of stringed musical instruments?? Shuai Zheng: antonio Input question: The medical condition Tinea Pedis is better known by what name? Output answer: athlete s foot question: Answer this question. As at January 2015 who is the leader of the Green Party in the UK? answer: natalie bennett question: What is the answer: From which London station do you depart on a train journey to Cardiff? answer: paddington <|start-PI|>Q: Originating in the US, what is the filling in a MoonPie?<|end-PI|> A: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>marshmallow<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nQUESTION: Trivia question: Which US President officially opened the Empire State Building in New York?\n****\nANS: herbert hoover\n\n\nMei Li:\nWhat was the first name of Stradivari, who lived 1644-1737, and is famous as a manufacturer of stringed musical instruments??\nShuai Zheng:\nantonio\n\n\nInput question: The medical condition Tinea Pedis is better known by what name?\n\nOutput answer: athlete s foot\n\n\nquestion: Answer this question.\n\nAs at January 2015 who is the leader of the Green Party in the UK?\nanswer: natalie bennett\n\n\nquestion: What is the answer: From which London station do you depart on a train journey to Cardiff?\nanswer: paddington\n\n\n<|start-PI|>Q: Originating in the US, what is the filling in a MoonPie?<|end-PI|>\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The MoonPie is a classic American confectionery treat that originated in Chattanooga, Tennessee, in the early 20th century. It consists of two soft, round graham cracker cookies sandwiching a rich, creamy filling. The MoonPie's signature filling is a key part of its appeal and has remained unchanged since its inception.<|start-KFI|>marshmallow<|end-KFI|>"}

flan_v2

flan_v2_461

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: Q: Name the NASA Mars Science Laboratory rover which landed on Mars in 2012? ----- A: curiosity Q: Who is the grandson of Sir Winston Churchill, who was also Minister for Food in the Thatcher cabinet? ----- A: nicholas soames <|start-PI|>Q: What is the first Christian name of ex British Prime Minister Gordon Brown ?<|end-PI|> ----- A: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>james<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nQ: Name the NASA Mars Science Laboratory rover which landed on Mars in 2012?\n-----\nA: curiosity\n\n\nQ: Who is the grandson of Sir Winston Churchill, who was also Minister for Food in the Thatcher cabinet?\n-----\nA: nicholas soames\n\n\n<|start-PI|>Q: What is the first Christian name of ex British Prime Minister Gordon Brown ?<|end-PI|>\n-----\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Gordon Brown, the former Prime Minister of the United Kingdom, was born on February 20, 1951. He served as Prime Minister from 2007 to 2010 and was the leader of the Labour Party. Brown's full name is James Gordon Brown. He was Chancellor of the Exchequer under Tony Blair before becoming Prime Minister. Brown is known for his role in shaping British economic policy and his efforts to address global financial crises.<|start-KFI|>james<|end-KFI|>"}

flan_v2

flan_v2_505

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: Q: In 1961, who became the first non- American golfer to win The Masters? A: gary player Q: "In Turkey, what is ""Galatasaray Spor Kulb""?" A: soccer club <|start-PI|>Q: Name the great old rival company of the Harley-Davidson motorbike corporation, whose models included the Chief and Scout?<|end-PI|> A: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>indian<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nQ: In 1961, who became the first non- American golfer to win The Masters?\nA: gary player\n\nQ: \"In Turkey, what is \"\"Galatasaray Spor Kulb\"\"?\"\nA: soccer club\n\n<|start-PI|>Q: Name the great old rival company of the Harley-Davidson motorbike corporation, whose models included the Chief and Scout?<|end-PI|>\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Indian is a historic American motorcycle manufacturer that was founded in 1901. It was one of the most prominent motorcycle brands in the early 20th century and a major competitor to Harley-Davidson. Indian motorcycles were known for their innovative designs, powerful engines, and iconic models like the Chief and Scout. The company went through various ownership changes and financial struggles over the years, eventually ceasing production in 1953. However, the Indian brand was revived in 2011 and is currently owned by Polaris Industries, producing modern motorcycles that pay homage to their rich heritage.<|start-KFI|>indian<|end-KFI|>"}

flan_v2

flan_v2_527

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: input: What is the answer to this question? when did young wild & free come out? output: October 11, 2011 input: What is the answer to this question? who has the best football record in the nfl? output: Chicago Bears input: <|start-PI|>What is the answer to this question? who does the voice of vanellope in wreck it ralph?<|end-PI|> output: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>Sarah Silverman<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\ninput: What is the answer to this question? when did young wild & free come out?\n\noutput: October 11, 2011\n\n\ninput: What is the answer to this question? who has the best football record in the nfl?\n\noutput: Chicago Bears\n\n\ninput: <|start-PI|>What is the answer to this question? who does the voice of vanellope in wreck it ralph?<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Vanellope von Schweetz is a main character in the Disney animated movie Wreck-It Ralph. She is a glitchy, energetic, and lovable character who is the princess of the Sugar Rush racing game. Sarah Silverman, an American actress and comedian, provided the voice of Vanellope von Schweetz in both Wreck-It Ralph (2012) and its sequel, Ralph Breaks the Internet (2018). Silverman's voice acting brought the character to life, capturing her playful and mischievous personality.<|start-KFI|>Sarah Silverman<|end-KFI|>"}

flan_v2

flan_v2_533

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: QUESTION: Trivia question: Who is the mortal enemy of Captain Pugwash? **** ANS: cut throat jake Mei Li: In 1918 which newspaper mogul became the first UK Minister of Information?? Shuai Zheng: lord beaverbrook Input question: Which religious building gave the New Vaudeville Band a Top Five hit In 1966? Output answer: winchester cathedral question: Answer this question. Which famous composer is on the back of the UK £20 banknote withdrawn in 2010? answer: edward elgar question: What is the answer: What ambulance service is a common name used by a number of affiliated organisations in different countries dedicated to the teaching and practice of medical first aid and the provision of ambulance services, all of which derive their origins from an association founded in 1877 in England? answer: st john <|start-PI|>Input question: The South American tradename 'chiclero' refers to a worker who collects the raw material for which hugely popular confectionery product?<|end-PI|> Output answer: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>gum<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nQUESTION: Trivia question: Who is the mortal enemy of Captain Pugwash?\n****\nANS: cut throat jake\n\n\nMei Li:\nIn 1918 which newspaper mogul became the first UK Minister of Information??\nShuai Zheng:\nlord beaverbrook\n\n\nInput question: Which religious building gave the New Vaudeville Band a Top Five hit In 1966?\n\nOutput answer: winchester cathedral\n\n\nquestion: Answer this question.\n\nWhich famous composer is on the back of the UK \u00a320 banknote withdrawn in 2010?\nanswer: edward elgar\n\n\nquestion: What is the answer: What ambulance service is a common name used by a number of affiliated organisations in different countries dedicated to the teaching and practice of medical first aid and the provision of ambulance services, all of which derive their origins from an association founded in 1877 in England?\nanswer: st john\n\n\n<|start-PI|>Input question: The South American tradename 'chiclero' refers to a worker who collects the raw material for which hugely popular confectionery product?<|end-PI|>\n\nOutput answer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Chicleros are workers in the tropical regions of Central and South America who harvest the sap of the sapodilla tree (Manilkara zapota). This sap, also known as chicle, is a natural latex that has been used for centuries in various applications. In the late 19th century, chicle became a crucial ingredient in the production of chewing gum. The unique properties of chicle make it an ideal base for chewing gum, allowing it to be soft and pliable yet resistant to heat and moisture. Today, chicleros continue to play a vital role in the global chewing gum industry, collecting chicle from the sapodilla trees in the rainforests of countries like Mexico, Guatemala, and Belize.<|start-KFI|>gum<|end-KFI|>"}

flan_v2

flan_v2_546

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: QUESTION: answer this: where is the city of new york located?? ANS: New York input: What is the answer to this question? when did lionel messi started his football career? output: 2002 In: what season of er did mark greene died?? Out: Season 8 Please answer this: who produced the way i am by eminem? Eminem Q: Answer this question: germany's correctional system is based on what kind of law?? A: civil <|start-PI|>Question: where do chicken wings and drumettes come from??<|end-PI|> Answer: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>chicken wing section<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nQUESTION: answer this: where is the city of new york located??\n\nANS: New York\n\ninput: What is the answer to this question? when did lionel messi started his football career?\n\noutput: 2002\n\nIn: what season of er did mark greene died??\n\nOut: Season 8\n\nPlease answer this: who produced the way i am by eminem?\n\nEminem\n\nQ: Answer this question:\n\ngermany's correctional system is based on what kind of law??\n\nA: civil\n\n<|start-PI|>Question: where do chicken wings and drumettes come from??<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Chicken wings and drumettes are a popular food item that originates from the culinary traditions of the United States. They are derived from the wings of chickens, which are typically cut into three sections: the drumette, the wingette or flat, and the tip. The drumette is the meatiest part of the wing, resembling a small drumstick. It is usually separated from the rest of the wing during food preparation. Chicken wings have become a staple in many cuisines, often served as an appetizer or snack, and are commonly associated with sports events and social gatherings. They can be prepared in various ways, including baking, grilling, or deep-frying, and are often served with a variety of sauces and seasonings.<|start-KFI|>chicken wing section<|end-KFI|>"}

flan_v2

flan_v2_559

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: Generate a sentence that answers this question: "frozen rainfall falling leaves the northern hemisphere a carpeted" Answer: cold environments are usually white in color from being covered in snow question: What sentence would provide a factual answer to this question: "Some animals change their appearance completely during a stage of the life cycle known as" answer: metamorphosis is a stage in the life cycle process of some animals Problem: What is a random fact? Answer: as temperature in an environment decreases , the amount of water an animal in that environment will lose will decrease Problem: Generate a sentence that contains a fact. cutting down trees in a forest causes the number of trees to decrease in that forest Problem: Generate a sentence that contains a fact. Sentence: electromagnets can be powered by electricity Problem: What is a random fact? Answer: ##ASSISTANT_RESPONSE: <|start-PI|>adaptation is when<|end-PI|> <|retrieval|><|start-KFI|>an organism develops a trait over time for survival<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nGenerate a sentence that answers this question: \"frozen rainfall falling leaves the northern hemisphere a carpeted\"\n\nAnswer: cold environments are usually white in color from being covered in snow\nquestion: What sentence would provide a factual answer to this question: \"Some animals change their appearance completely during a stage of the life cycle known as\"\n\nanswer: metamorphosis is a stage in the life cycle process of some animals\nProblem: What is a random fact?\n\nAnswer: as temperature in an environment decreases , the amount of water an animal in that environment will lose will decrease\nProblem: Generate a sentence that contains a fact.\n\ncutting down trees in a forest causes the number of trees to decrease in that forest\nProblem: Generate a sentence that contains a fact.\nSentence: electromagnets can be powered by electricity\nProblem: What is a random fact?\n\nAnswer:\n\n##ASSISTANT_RESPONSE:\n<|start-PI|>adaptation is when<|end-PI|> <|retrieval|>Adaptation is a crucial process in the natural world. It refers to the gradual changes that occur in an organism's physical structure, behavior, or physiology over time. These changes are often in response to environmental pressures, such as climate, predators, or competition for resources. Adaptations can be seen in various forms, such as the development of camouflage, stronger limbs, or specialized senses. They are typically the result of natural selection, where individuals with advantageous traits are more likely to survive and reproduce, passing those traits on to their offspring. Adaptations can be found in all domains of life, from bacteria to complex organisms like plants and animals. They play a vital role in the survival and success of species in their respective environments.<|start-KFI|>an organism develops a trait over time for survival<|end-KFI|>"}

flan_v2

flan_v2_566

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: when did the last show of friends air??? Answer: May 6, 2004 who plays boss baby in the tv show??? Answer: JP Karliak which book records three possible authors of the tao te ching with similar names??? Answer: Shiji <|start-PI|>when was the decimal currency system started for use in india???<|end-PI|> Answer: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>1 April 1957<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nwhen did the last show of friends air???\n\nAnswer: May 6, 2004\n\nwho plays boss baby in the tv show???\n\nAnswer: JP Karliak\n\nwhich book records three possible authors of the tao te ching with similar names???\n\nAnswer: Shiji\n\n<|start-PI|>when was the decimal currency system started for use in india???<|end-PI|>\n\nAnswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The decimal currency system was introduced in India on April 1, 1957. This change was part of a broader effort to modernize the country's monetary system. Prior to this, India used a complex system of rupees, annas, and paise. The decimal system simplified transactions and made calculations easier for both businesses and individuals. The introduction of the decimal system was a significant step in India's economic development, making it easier to conduct international trade and facilitating everyday financial transactions.<|start-KFI|>1 April 1957<|end-KFI|>"}

flan_v2

flan_v2_574

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: QUESTION: Generate a question with a factual answer? ANS: Which President will have two coins with his portrait on it? QUESTION: Generate a question with a factual answer? ANS: According to Plato, who was above the law? QUESTION: Generate a question with a factual answer? ANS: Where did Athanasius think Faith resides? <|start-PI|>QUESTION: Generate a question with a factual answer? ANS:<|end-PI|> ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>In what year are or racial categories first revised for the 2000 U.S. Census?<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nQUESTION: Generate a question with a factual answer?\n\nANS: Which President will have two coins with his portrait on it?\n\n\nQUESTION: Generate a question with a factual answer?\n\nANS: According to Plato, who was above the law?\n\n\nQUESTION: Generate a question with a factual answer?\n\nANS: Where did Athanasius think Faith resides?\n\n\n<|start-PI|>QUESTION: Generate a question with a factual answer?\n\nANS:<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The United States Census Bureau has revised its racial categories several times throughout its history. One significant revision occurred in preparation for the 2000 U.S. Census. This revision aimed to improve the accuracy of racial and ethnic data collection. The changes included the addition of new categories and the option for respondents to select more than one race. This revision was implemented to better reflect the diversity of the American population and to provide more detailed information for policymakers and researchers. The 2000 U.S. Census was a significant milestone in the evolution of racial categorization in the United States.<|start-KFI|>In what year are or racial categories first revised for the 2000 U.S. Census?<|end-KFI|>"}

flan_v2

flan_v2_575

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: input: What is the answer to this question? who are the teams in super bowl 51? output: New England Patriots input: What is the answer to this question? when did the movie the burbs come out? output: 1989 input: <|start-PI|>What is the answer to this question? who sang baby blue was the color of her eyes?<|end-PI|> output: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>George Strait<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\ninput: What is the answer to this question? who are the teams in super bowl 51?\n\noutput: New England Patriots\n\n\ninput: What is the answer to this question? when did the movie the burbs come out?\n\noutput: 1989\n\n\ninput: <|start-PI|>What is the answer to this question? who sang baby blue was the color of her eyes?<|end-PI|>\n\noutput:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>\"Baby Blue\" is a song written by Bob Morrison and recorded by American country music artist George Strait. It was released in 1988 as the second single from his album If I Know Me. The song became a hit for Strait, reaching number one on the Billboard Hot Country Singles chart in 1988. The song's lyrics describe a man reminiscing about a past love, with the phrase \"baby blue was the color of her eyes\" being a memorable and iconic line in country music.<|start-KFI|>George Strait<|end-KFI|>"}

flan_v2

flan_v2_595

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: QUESTION: answer this: who is the richest man in new zealand?? ANS: Graeme Richard Hart input: What is the answer to this question? who plays taserface in guardians of the galaxy? output: Chris Sullivan In: who sang at last my love has come?? Out: Etta James Please answer this: where did brendas got a baby come from? the plight of the impoverished Q: Answer this question: who played robin on the original batman series?? A: Burt Ward Q: Answer this question: <|start-PI|>who plays lenny bruce in the marvelous mrs maisel??<|end-PI|> A: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>Luke Kirby<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nQUESTION: answer this: who is the richest man in new zealand??\n\nANS: Graeme Richard Hart\n\ninput: What is the answer to this question? who plays taserface in guardians of the galaxy?\n\noutput: Chris Sullivan\n\nIn: who sang at last my love has come??\n\nOut: Etta James\n\nPlease answer this: where did brendas got a baby come from?\n\nthe plight of the impoverished\n\nQ: Answer this question:\n\nwho played robin on the original batman series??\n\nA: Burt Ward\n\nQ: Answer this question:\n\n<|start-PI|>who plays lenny bruce in the marvelous mrs maisel??<|end-PI|>\n\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Luke Kirby is an American actor who has gained recognition for his roles in various TV shows and films. One of his notable performances is in the Amazon Prime Video series \"The Marvelous Mrs. Maisel,\" where he portrays the character of Lenny Bruce. Lenny Bruce was a real-life comedian and social critic who was known for his provocative style and biting commentary on society. In the show, Kirby's portrayal of Bruce has received critical acclaim for its nuance and accuracy.<|start-KFI|>Luke Kirby<|end-KFI|>"}

flan_v2

flan_v2_614

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: QUESTION: Trivia question: Where did the worst rail disaster in British history occur in November 1952, when 112 people lost their lives? **** ANS: harrow wealdstone Mei Li: When the ads. finished, keeper Molly Badham welcomed them back to which zoo?? Shuai Zheng: twycross Input question: Where in North Carolina did the Wright Brothers first flight take place? Output answer: kitty hawk question: Answer this question. October 12, 1901 saw the old moniker of Executive Mansion replaced with the more familiar White House, when what total badass declared it so? answer: teddy roosevelt question: What is the answer: Who was leader of the ruling Argentinean 'Junta' in 1982? answer: general galtieri <|start-PI|>Q: What is the main ingredient of Duxelles sauce or Duxelles stuffing?<|end-PI|> ----- A: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>mushrooms<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nQUESTION: Trivia question: Where did the worst rail disaster in British history occur in November 1952, when 112 people lost their lives?\n****\nANS: harrow wealdstone\n\n\nMei Li:\nWhen the ads. finished, keeper Molly Badham welcomed them back to which zoo??\nShuai Zheng:\ntwycross\n\n\nInput question: Where in North Carolina did the Wright Brothers first flight take place?\n\nOutput answer: kitty hawk\n\n\nquestion: Answer this question.\n\nOctober 12, 1901 saw the old moniker of Executive Mansion replaced with the more familiar White House, when what total badass declared it so?\nanswer: teddy roosevelt\n\n\nquestion: What is the answer: Who was leader of the ruling Argentinean 'Junta' in 1982?\nanswer: general galtieri\n\n\n<|start-PI|>Q: What is the main ingredient of Duxelles sauce or Duxelles stuffing?<|end-PI|>\n-----\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Duxelles sauce and Duxelles stuffing are traditional French culinary preparations that originated in the 17th century. The main ingredient in both of these dishes is mushrooms. Specifically, Duxelles is made from a mixture of saut\u00e9ed mushrooms, onions, and herbs, which are then finely chopped and often used as a filling or flavor enhancer in various recipes. The mushrooms used in Duxelles are typically a combination of wild mushrooms such as shiitake, cremini, and button mushrooms. The preparation process involves slowly cooking the mushrooms in butter until they release their moisture and develop a rich, earthy flavor. This mixture is then seasoned with salt, pepper, and sometimes additional herbs like thyme or parsley. The resulting Duxelles sauce or stuffing is often used in dishes like beef Wellington, p\u00e2t\u00e9, and various savory pastries.<|start-KFI|>mushrooms<|end-KFI|>"}

flan_v2

flan_v2_627

You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully: Here is the instruction and assistant response you will be working with: ##INSTRUCTION: Problem: The rumba was originally danced where? ====== A: cuba Q: The Household Cavalry is made up of two regiments, the Life Guards and which other regiment? A: blues and royals Problem: On 3 July 1844, which bird became extinct when the last two were killed by hunters? Answer: great auk Q: In which town is the University of Surrey? ----- A: guildford Q: What rank in the British Amy was the equivalent to a Standartenfuhrer in the S.S. What is the answer? A: colonel Mei Li: <|start-PI|>What was the name of the policy making body of the USSR before it broke up??<|end-PI|> Shuai Zheng: ##ASSISTANT_RESPONSE: <|retrieval|><|start-KFI|>politburo<|end-KFI|> Your task involves the following main steps: 1. Treat the instruction and assistant_response as a continuous passage 2. Identify Prefix Intents and Key Factual Information 3. Pair each Prefix Intent with its corresponding Key Factual Information 4. Generate Knowledge for each pair 5. Update the full original text with the Generated Knowledge 6. Provide the final output in a specific JSON format Follow these detailed instructions for each step: 1. Identifying and pairing Prefix Intents and Key Factual Information: - Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags - Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags - To pair them, look for the <|retrieval|> token: * The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent * The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information 2. Generating Knowledge: - For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information - Ensure the Generated Knowledge is a real passage, not just a single sentence - Generated knowledge can only be found inserted in the assistant response - Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it") - Make sure you can generate the key factual information (KFI) from this knowledge 3. Updating the passage: - Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|> - Ensure no extra spaces are added when inserting the Generated Knowledge - Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage 4. Provide your final output in this JSON format: { "Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"] } Important reminders: - Complete all steps and provide the final output in the specified JSON format - Only output the JSON file - Preserve all special tokens in Processed_Text - Think carefully before doing each task - Do not output markdown, only a JSON file

{"Processed_Text": "##INSTRUCTION:\nProblem: The rumba was originally danced where?\n======\nA: cuba\n\n\nQ: The Household Cavalry is made up of two regiments, the Life Guards and which other regiment?\nA: blues and royals\n\n\nProblem: On 3 July 1844, which bird became extinct when the last two were killed by hunters?\nAnswer: great auk\n\n\nQ: In which town is the University of Surrey?\n-----\nA: guildford\n\n\nQ: What rank in the British Amy was the equivalent to a Standartenfuhrer in the S.S.\nWhat is the answer?\n\nA: colonel\n\n\nMei Li:\n<|start-PI|>What was the name of the policy making body of the USSR before it broke up??<|end-PI|>\nShuai Zheng:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The Politburo was the highest policy-making body in the Soviet Union. It was established in 1917 and played a crucial role in shaping the country's political direction until its dissolution in 1991. The Politburo was responsible for making key decisions on domestic and foreign policy, overseeing the implementation of communist ideology, and controlling the Soviet government's various branches. Its members were typically high-ranking officials of the Communist Party of the Soviet Union, including the General Secretary, who held significant influence over the Politburo's decisions.<|start-KFI|>politburo<|end-KFI|>"}