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train · 6.76k rows

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chosen listlengths 2 18	dataset stringclasses 9 values	messages listlengths 2 18	id stringlengths 1 6	rejected listlengths 2 18
[ { "content": "Text: <text>\n\nThere may be some entities in the text, if any, please output these entities and the corresponding types. These types come from the options: [Event, GPE, WorkOfArt, Product, Date, Law, Quantity, Cardinal, Percentage, Time, NORP, Language, Organization, Location, Facility]Please giv...	ontonote5	[ { "content": "Text: <text>\n\nThere may be some entities in the text, if any, please output these entities and the corresponding types. These types come from the options: [Event, GPE, WorkOfArt, Product, Date, Law, Quantity, Cardinal, Percentage, Time, NORP, Language, Organization, Location, Facility]Please giv...	42378	[ { "content": "Text: <text>\n\nThere may be some entities in the text, if any, please output these entities and the corresponding types. These types come from the options: [Event, GPE, WorkOfArt, Product, Date, Law, Quantity, Cardinal, Percentage, Time, NORP, Language, Organization, Location, Facility]Please giv...
[ { "content": "<text>\n\n[country_of_citizenship, work_location, residence, publisher, operating_system, located_in_the_administrative_territorial_entity, performer, sibling, country_of_origin, religion, notable_work, developer, participant_of, position_held, field_of_work, occupation, military_branch, tributary...	fewrel	[ { "content": "<text>\n\n[country_of_citizenship, work_location, residence, publisher, operating_system, located_in_the_administrative_territorial_entity, performer, sibling, country_of_origin, religion, notable_work, developer, participant_of, position_held, field_of_work, occupation, military_branch, tributary...	43806	[ { "content": "<text>\n\n[country_of_citizenship, work_location, residence, publisher, operating_system, located_in_the_administrative_territorial_entity, performer, sibling, country_of_origin, religion, notable_work, developer, participant_of, position_held, field_of_work, occupation, military_branch, tributary...
[ { "content": "What are the different types or categories of [\"placeofemployment: such as company, chairwoman, neurosurgeon, his post, power.\", \"employee: such as administration of Viktor Yanukovych, Debbie Wasserman, Debbie Wasserman Schultz, Lt . Gen. Charles Cooper, senior and mid - level command.\", \"pla...	RAMS-eae	[ { "content": "What are the different types or categories of [\"placeofemployment: such as company, chairwoman, neurosurgeon, his post, power.\", \"employee: such as administration of Viktor Yanukovych, Debbie Wasserman, Debbie Wasserman Schultz, Lt . Gen. Charles Cooper, senior and mid - level command.\", \"pla...	4687	[ { "content": "What are the different types or categories of [\"placeofemployment: such as company, chairwoman, neurosurgeon, his post, power.\", \"employee: such as administration of Viktor Yanukovych, Debbie Wasserman, Debbie Wasserman Schultz, Lt . Gen. Charles Cooper, senior and mid - level command.\", \"pla...
[ { "content": "You are a helpful assistant. Follow the user instruction to extract information from the given text into a concise markdown table.", "role": "system" }, { "content": "Can you extract the pertinent details from the provided text?\nText: XYZ Corporation, a publicly traded company in the ...	ondemand	[ { "content": "You are a helpful assistant. Follow the user instruction to extract information from the given text into a concise markdown table.", "role": "system" }, { "content": "Can you extract the pertinent details from the provided text?\nText: XYZ Corporation, a publicly traded company in the ...	5212	[ { "content": "You are a helpful assistant. Follow the user instruction to extract information from the given text into a concise markdown table.", "role": "system" }, { "content": "Can you extract the pertinent details from the provided text?\nText: XYZ Corporation, a publicly traded company in the ...
[ { "content": "To perform open information extraction effectively, one must identify and extract all relations within the sentence. This includes recognizing predicates, determining subjects and objects linked to these relations, and identifying potential temporal and spatial elements. Can you help me extract po...	openie4	[ { "content": "To perform open information extraction effectively, one must identify and extract all relations within the sentence. This includes recognizing predicates, determining subjects and objects linked to these relations, and identifying potential temporal and spatial elements. Can you help me extract po...	30242	[ { "content": "To perform open information extraction effectively, one must identify and extract all relations within the sentence. This includes recognizing predicates, determining subjects and objects linked to these relations, and identifying potential temporal and spatial elements. Can you help me extract po...
[ { "content": "Find the event mentioned in the sentence 'Text: 'The Apple Music Festival ( formerly known as the iTunes Festival ) was a music concert series <event> held </event> by Apple , Inc. inaugurated in 2007 . Free tickets were given to Apple Music, iTunes and DICE users who lived in the United Kingdom, ...	maven-eae	[ { "content": "Find the event mentioned in the sentence 'Text: 'The Apple Music Festival ( formerly known as the iTunes Festival ) was a music concert series <event> held </event> by Apple , Inc. inaugurated in 2007 . Free tickets were given to Apple Music, iTunes and DICE users who lived in the United Kingdom, ...	66358	[ { "content": "Find the event mentioned in the sentence 'Text: 'The Apple Music Festival ( formerly known as the iTunes Festival ) was a music concert series <event> held </event> by Apple , Inc. inaugurated in 2007 . Free tickets were given to Apple Music, iTunes and DICE users who lived in the United Kingdom, ...
[ { "content": "Given the context of Text: 'Neither side fulfilled the terms of the truce, leaving many of the issues unresolved.' and the following [Process_start, Sending, Becoming_a_member, Achieve, Causation, Create_artwork, Revenge, Attack, Ratification, Hold, Surrendering, Cause_to_make_progress, Resolve_pr...	maven-ed	[ { "content": "Given the context of Text: 'Neither side fulfilled the terms of the truce, leaving many of the issues unresolved.' and the following [Process_start, Sending, Becoming_a_member, Achieve, Causation, Create_artwork, Revenge, Attack, Ratification, Hold, Surrendering, Cause_to_make_progress, Resolve_pr...	6143	[ { "content": "Given the context of Text: 'Neither side fulfilled the terms of the truce, leaving many of the issues unresolved.' and the following [Process_start, Sending, Becoming_a_member, Achieve, Causation, Create_artwork, Revenge, Attack, Ratification, Hold, Surrendering, Cause_to_make_progress, Resolve_pr...
[ { "content": "Dive into the text provided and extract any relational tuples, paying close attention to subjects, predicates, objects, and any temporal or spatial details. If no tuples can be extracted, please respond with 'Extraction failed.'Please give the answer in the tuple form \"[Answer]: ({predicate}; {su...	openie4	[ { "content": "Dive into the text provided and extract any relational tuples, paying close attention to subjects, predicates, objects, and any temporal or spatial details. If no tuples can be extracted, please respond with 'Extraction failed.'Please give the answer in the tuple form \"[Answer]: ({predicate}; {su...	41967	[ { "content": "Dive into the text provided and extract any relational tuples, paying close attention to subjects, predicates, objects, and any temporal or spatial details. If no tuples can be extracted, please respond with 'Extraction failed.'Please give the answer in the tuple form \"[Answer]: ({predicate}; {su...
[ { "content": "Can we extract some events from <text>?\n\n<text>: <text>\n\nThe types of events are [\"Prison: such as joint, sentenced, imprisonment, jail.\", \"Getting\", \"Commerce_buy: such as acquisition, merchants, purchased, bought.\", \"Surrounding: such as engulfed, surrounded.\", \"Collaboration: such ...	maven-ed	[ { "content": "Can we extract some events from <text>?\n\n<text>: <text>\n\nThe types of events are [\"Prison: such as joint, sentenced, imprisonment, jail.\", \"Getting\", \"Commerce_buy: such as acquisition, merchants, purchased, bought.\", \"Surrounding: such as engulfed, surrounded.\", \"Collaboration: such ...	24505	[ { "content": "Can we extract some events from <text>?\n\n<text>: <text>\n\nThe types of events are [\"Prison: such as joint, sentenced, imprisonment, jail.\", \"Getting\", \"Commerce_buy: such as acquisition, merchants, purchased, bought.\", \"Surrounding: such as engulfed, surrounded.\", \"Collaboration: such ...
[ { "content": "Identify and annotate the named entities in the given sentence \"Text: 'A Nigerian human rights group said on Wednesday that four members of a recently banned university union had been arrested . '\" based on their categories in [\"Miscellaneous: such as Palestinians, ITALIAN, Yugoslav, Sri Lankan...	conll-2003	[ { "content": "Identify and annotate the named entities in the given sentence \"Text: 'A Nigerian human rights group said on Wednesday that four members of a recently banned university union had been arrested . '\" based on their categories in [\"Miscellaneous: such as Palestinians, ITALIAN, Yugoslav, Sri Lankan...	11137	[ { "content": "Identify and annotate the named entities in the given sentence \"Text: 'A Nigerian human rights group said on Wednesday that four members of a recently banned university union had been arrested . '\" based on their categories in [\"Miscellaneous: such as Palestinians, ITALIAN, Yugoslav, Sri Lankan...
[ { "content": "Generate the entity-relation triplet from the context. <text>.\n\nThe relations are from [mountain range, field of work, notable work, applies to jurisdiction, distributor, contains administrative territorial entity, place served by transport hub, publisher, movement, characters, developer, tribut...	fewrel	[ { "content": "Generate the entity-relation triplet from the context. <text>.\n\nThe relations are from [mountain range, field of work, notable work, applies to jurisdiction, distributor, contains administrative territorial entity, place served by transport hub, publisher, movement, characters, developer, tribut...	819	[ { "content": "Generate the entity-relation triplet from the context. <text>.\n\nThe relations are from [mountain range, field of work, notable work, applies to jurisdiction, distributor, contains administrative territorial entity, place served by transport hub, publisher, movement, characters, developer, tribut...
[ { "content": "Analyze the text in context and mention any relevant relationships that exist between markerd (with <entity>) individuals or objects or entities. If there is no relationship between the two entities, please output \"No relation\". Text: Text: 'In the <head> 2008 presidential election </head> , Dem...	fewrel	[ { "content": "Analyze the text in context and mention any relevant relationships that exist between markerd (with <entity>) individuals or objects or entities. If there is no relationship between the two entities, please output \"No relation\". Text: Text: 'In the <head> 2008 presidential election </head> , Dem...	17957	[ { "content": "Analyze the text in context and mention any relevant relationships that exist between markerd (with <entity>) individuals or objects or entities. If there is no relationship between the two entities, please output \"No relation\". Text: Text: 'In the <head> 2008 presidential election </head> , Dem...
[ { "content": "Open Information Extraction (OpenIE) aims to extract n-ary knowledge tuples {(a1, p, a2, ..., an)} consisting of n arguments and one predicate from the natural text in a domain-independent manner. Please extract all the relational tuples in the following sentence, i.e., predicates, the subjects an...	openie4	[ { "content": "Open Information Extraction (OpenIE) aims to extract n-ary knowledge tuples {(a1, p, a2, ..., an)} consisting of n arguments and one predicate from the natural text in a domain-independent manner. Please extract all the relational tuples in the following sentence, i.e., predicates, the subjects an...	113165	[ { "content": "Open Information Extraction (OpenIE) aims to extract n-ary knowledge tuples {(a1, p, a2, ..., an)} consisting of n arguments and one predicate from the natural text in a domain-independent manner. Please extract all the relational tuples in the following sentence, i.e., predicates, the subjects an...
[ { "content": "Determine the subcategories of the type of relationship between \"law of the jungle\" and \"sbs\" that are described in this provided text: \"<text>\". Use the following options: [country of citizenship, instrument, architect, heritage designation, religion, headquarters location, language of work...	fewrel	[ { "content": "Determine the subcategories of the type of relationship between \"law of the jungle\" and \"sbs\" that are described in this provided text: \"<text>\". Use the following options: [country of citizenship, instrument, architect, heritage designation, religion, headquarters location, language of work...	4992	[ { "content": "Determine the subcategories of the type of relationship between \"law of the jungle\" and \"sbs\" that are described in this provided text: \"<text>\". Use the following options: [country of citizenship, instrument, architect, heritage designation, religion, headquarters location, language of work...
[ { "content": "Extract the [Instrument, Outcome, Purpose, Agent, Location] related to the event mentioned in the following sentence: <text>. If there are no related <options>, answer with ``No related <options>``.Please give the step-by-step analysis first. Please give the answer in the form \"[Answer]: {word}: ...	maven-eae	[ { "content": "Extract the [Instrument, Outcome, Purpose, Agent, Location] related to the event mentioned in the following sentence: <text>. If there are no related <options>, answer with ``No related <options>``.Please give the step-by-step analysis first. Please give the answer in the form \"[Answer]: {word}: ...	38406	[ { "content": "Extract the [Instrument, Outcome, Purpose, Agent, Location] related to the event mentioned in the following sentence: <text>. If there are no related <options>, answer with ``No related <options>``.Please give the step-by-step analysis first. Please give the answer in the form \"[Answer]: {word}: ...
[ { "content": "Your task is to recognize the named entities in the following text: Text: '67 not out ) v Hampshire . '. Classify each entity into one of the following categories: [Person, Miscellaneous, Organization]. If there are no entities in the text, please return 'No entities detected'.First explain your t...	conll-2003	[ { "content": "Your task is to recognize the named entities in the following text: Text: '67 not out ) v Hampshire . '. Classify each entity into one of the following categories: [Person, Miscellaneous, Organization]. If there are no entities in the text, please return 'No entities detected'.First explain your t...	428	[ { "content": "Your task is to recognize the named entities in the following text: Text: '67 not out ) v Hampshire . '. Classify each entity into one of the following categories: [Person, Miscellaneous, Organization]. If there are no entities in the text, please return 'No entities detected'.First explain your t...
[ { "content": "Event Argument Extraction\n\n<text>\n\n[\"Component: such as the declared hostility of post-revolutionary Islamic Republic of Iran towards Israel, `` Black Ribbon Day '' protests, the German sphere of influence, Cherokee Nation, Green Man.\", \"Location: such as worldwide, Modena, West Warwick, Ba...	maven-eae	[ { "content": "Event Argument Extraction\n\n<text>\n\n[\"Component: such as the declared hostility of post-revolutionary Islamic Republic of Iran towards Israel, `` Black Ribbon Day '' protests, the German sphere of influence, Cherokee Nation, Green Man.\", \"Location: such as worldwide, Modena, West Warwick, Ba...	50147	[ { "content": "Event Argument Extraction\n\n<text>\n\n[\"Component: such as the declared hostility of post-revolutionary Islamic Republic of Iran towards Israel, `` Black Ribbon Day '' protests, the German sphere of influence, Cherokee Nation, Green Man.\", \"Location: such as worldwide, Modena, West Warwick, Ba...
[ { "content": "Your task is to recognize the named entities in the following text: Text: 'Ssangbangwool 59 2 48 .500 5 '. Classify each entity into one of the following categories: [Organization, Person, Location, Miscellaneous]. If there are no entities in the text, please return 'No entities detected'.Please e...	conll-2003	[ { "content": "Your task is to recognize the named entities in the following text: Text: 'Ssangbangwool 59 2 48 .500 5 '. Classify each entity into one of the following categories: [Organization, Person, Location, Miscellaneous]. If there are no entities in the text, please return 'No entities detected'.Please e...	12454	[ { "content": "Your task is to recognize the named entities in the following text: Text: 'Ssangbangwool 59 2 48 .500 5 '. Classify each entity into one of the following categories: [Organization, Person, Location, Miscellaneous]. If there are no entities in the text, please return 'No entities detected'.Please e...
[ { "content": "Can you please extract the possible event keywords from the following sentence - 'Text: 'Also the air intake was blocked , and this helped their preservation . ' In summer 2016 , researchers are due go back to the site and search for remains of possibly one more cub , or even the lioness . Cave li...	RAMS-eae	[ { "content": "Can you please extract the possible event keywords from the following sentence - 'Text: 'Also the air intake was blocked , and this helped their preservation . ' In summer 2016 , researchers are due go back to the site and search for remains of possibly one more cub , or even the lioness . Cave li...	3583	[ { "content": "Can you please extract the possible event keywords from the following sentence - 'Text: 'Also the air intake was blocked , and this helped their preservation . ' In summer 2016 , researchers are due go back to the site and search for remains of possibly one more cub , or even the lioness . Cave li...
[ { "content": "Extract and label specific name entities belonging to [\"Money: Monetary values, including unit. For example, two billion dollars, $ 226.3 million, 9.36 million US dollars, $ 350 million.\", \"Event: Named hurricanes, battles, wars, sports events, etc. For example, Urumchi negotiation meeting, HUG...	ontonote5	[ { "content": "Extract and label specific name entities belonging to [\"Money: Monetary values, including unit. For example, two billion dollars, $ 226.3 million, 9.36 million US dollars, $ 350 million.\", \"Event: Named hurricanes, battles, wars, sports events, etc. For example, Urumchi negotiation meeting, HUG...	54852	[ { "content": "Extract and label specific name entities belonging to [\"Money: Monetary values, including unit. For example, two billion dollars, $ 226.3 million, 9.36 million US dollars, $ 350 million.\", \"Event: Named hurricanes, battles, wars, sports events, etc. For example, Urumchi negotiation meeting, HUG...
[ { "content": "Please extract and classify the named entities present in the given text: <text>. The categories of entities are: [\"'Ordinal' means 'first, second, third, First, fourth, fifth, Second, seventh, eighth, sixth.' For example, 'first', 'second', 'First'.\", \"'GPE' means 'Countries, cities, states.' ...	ontonote5	[ { "content": "Please extract and classify the named entities present in the given text: <text>. The categories of entities are: [\"'Ordinal' means 'first, second, third, First, fourth, fifth, Second, seventh, eighth, sixth.' For example, 'first', 'second', 'First'.\", \"'GPE' means 'Countries, cities, states.' ...	5102	[ { "content": "Please extract and classify the named entities present in the given text: <text>. The categories of entities are: [\"'Ordinal' means 'first, second, third, First, fourth, fifth, Second, seventh, eighth, sixth.' For example, 'first', 'second', 'First'.\", \"'GPE' means 'Countries, cities, states.' ...
[ { "content": "Your task is to obtain ``[Proposer, Purpose, Location, Outcome, Sentiment, Content, Agent]`` for the event \"ignore\" from the sentence <text>. If there are no roles, answer ``No roles``.Please give the answer in the form \"[Answer]: {word}: {role}; \".\nText: 'The Numantine War (from \"Bellum Num...	maven-eae	[ { "content": "Your task is to obtain ``[Proposer, Purpose, Location, Outcome, Sentiment, Content, Agent]`` for the event \"ignore\" from the sentence <text>. If there are no roles, answer ``No roles``.Please give the answer in the form \"[Answer]: {word}: {role}; \".\nText: 'The Numantine War (from \"Bellum Num...	4639	[ { "content": "Your task is to obtain ``[Proposer, Purpose, Location, Outcome, Sentiment, Content, Agent]`` for the event \"ignore\" from the sentence <text>. If there are no roles, answer ``No roles``.Please give the answer in the form \"[Answer]: {word}: {role}; \".\nText: 'The Numantine War (from \"Bellum Num...
[ { "content": "Identify all the event roles for the given trigger word - '<text>'. The possible roles are [beneficiary, giver, place, preventer, artifact]. Please indicate the arguments separately.Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'According to one of the sources , the P...	RAMS-eae	[ { "content": "Identify all the event roles for the given trigger word - '<text>'. The possible roles are [beneficiary, giver, place, preventer, artifact]. Please indicate the arguments separately.Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'According to one of the sources , the P...	3602	[ { "content": "Identify all the event roles for the given trigger word - '<text>'. The possible roles are [beneficiary, giver, place, preventer, artifact]. Please indicate the arguments separately.Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'According to one of the sources , the P...
[ { "content": "Classify the type of all entities in the following text: <text>. Label each entity as you classify them. Use the options to provide the type.\n\nOptions: [\"Person: such as Machado, Von Heesen, Yeltsin, Retief, Anne Miller.\", \"Miscellaneous: such as French, European, ROMANIA-HUNGARY, Estonian, K...	conll-2003	[ { "content": "Classify the type of all entities in the following text: <text>. Label each entity as you classify them. Use the options to provide the type.\n\nOptions: [\"Person: such as Machado, Von Heesen, Yeltsin, Retief, Anne Miller.\", \"Miscellaneous: such as French, European, ROMANIA-HUNGARY, Estonian, K...	7905	[ { "content": "Classify the type of all entities in the following text: <text>. Label each entity as you classify them. Use the options to provide the type.\n\nOptions: [\"Person: such as Machado, Von Heesen, Yeltsin, Retief, Anne Miller.\", \"Miscellaneous: such as French, European, ROMANIA-HUNGARY, Estonian, K...
[ { "content": "Detect any named entities in the given sentence \"Text: 'If he survives , Muster is seeded to run into either fifth-seeded Wimbledon champion Richard Krajicek of the Netherlands or 12th-seeded American Todd Martin in the quarter-finals in Chang 's half of the draw . '\" and classify them according...	conll-2003	[ { "content": "Detect any named entities in the given sentence \"Text: 'If he survives , Muster is seeded to run into either fifth-seeded Wimbledon champion Richard Krajicek of the Netherlands or 12th-seeded American Todd Martin in the quarter-finals in Chang 's half of the draw . '\" and classify them according...	1121	[ { "content": "Detect any named entities in the given sentence \"Text: 'If he survives , Muster is seeded to run into either fifth-seeded Wimbledon champion Richard Krajicek of the Netherlands or 12th-seeded American Todd Martin in the quarter-finals in Chang 's half of the draw . '\" and classify them according...
[ { "content": "Your mission is to dissect the given text and extract any relational tuples it may contain, focusing on the subjects, predicates, objects, and noting any temporal or spatial details present. If the text lacks relational tuples, simply report back with 'No relational tuples identified.'Please give ...	openie4	[ { "content": "Your mission is to dissect the given text and extract any relational tuples it may contain, focusing on the subjects, predicates, objects, and noting any temporal or spatial details present. If the text lacks relational tuples, simply report back with 'No relational tuples identified.'Please give ...	52340	[ { "content": "Your mission is to dissect the given text and extract any relational tuples it may contain, focusing on the subjects, predicates, objects, and noting any temporal or spatial details present. If the text lacks relational tuples, simply report back with 'No relational tuples identified.'Please give ...
[ { "content": "Open Information Extraction (OpenIE) aims to extract n-ary knowledge tuples {(a1, p, a2, ..., an)} consisting of n arguments and one predicate from the natural text in a domain-independent manner. Please extract all the relational tuples in the following sentence, i.e., predicates, the subjects an...	openie4	[ { "content": "Open Information Extraction (OpenIE) aims to extract n-ary knowledge tuples {(a1, p, a2, ..., an)} consisting of n arguments and one predicate from the natural text in a domain-independent manner. Please extract all the relational tuples in the following sentence, i.e., predicates, the subjects an...	91758	[ { "content": "Open Information Extraction (OpenIE) aims to extract n-ary knowledge tuples {(a1, p, a2, ..., an)} consisting of n arguments and one predicate from the natural text in a domain-independent manner. Please extract all the relational tuples in the following sentence, i.e., predicates, the subjects an...
[ { "content": "For the given context \"<text>\", identify and classify the named entities into their corresponding categories: [\"GPE: such as Frankfurt, Rosemont, Al - Is'haqi, Japan, Beirut.\", \"Product: such as Voyager, USS Cole, Pao, the Liver Healing Capsule, Cole.\", \"Event: such as the Al - Nafaq uprisi...	ontonote5	[ { "content": "For the given context \"<text>\", identify and classify the named entities into their corresponding categories: [\"GPE: such as Frankfurt, Rosemont, Al - Is'haqi, Japan, Beirut.\", \"Product: such as Voyager, USS Cole, Pao, the Liver Healing Capsule, Cole.\", \"Event: such as the Al - Nafaq uprisi...	16673	[ { "content": "For the given context \"<text>\", identify and classify the named entities into their corresponding categories: [\"GPE: such as Frankfurt, Rosemont, Al - Is'haqi, Japan, Beirut.\", \"Product: such as Voyager, USS Cole, Pao, the Liver Healing Capsule, Cole.\", \"Event: such as the Al - Nafaq uprisi...
[ { "content": "Identify all the event roles for the given trigger word - 'Text: 'Southwest Cay () (; ; ) is an islet on the northwestern edge of the Spratly Islands in the South China Sea. It is part of the atoll North Danger Reef, and just southwest of Northeast Cay. With an area of , it is the sixth largest of...	maven-eae	[ { "content": "Identify all the event roles for the given trigger word - 'Text: 'Southwest Cay () (; ; ) is an islet on the northwestern edge of the Spratly Islands in the South China Sea. It is part of the atoll North Danger Reef, and just southwest of Northeast Cay. With an area of , it is the sixth largest of...	61217	[ { "content": "Identify all the event roles for the given trigger word - 'Text: 'Southwest Cay () (; ; ) is an islet on the northwestern edge of the Spratly Islands in the South China Sea. It is part of the atoll North Danger Reef, and just southwest of Northeast Cay. With an area of , it is the sixth largest of...
[ { "content": "You are a helpful assistant. Follow the user instruction to extract information from the given text into a concise markdown table.", "role": "system" }, { "content": "I'm in the market for a new house and want to find details about the ones for sale in a particular neighborhood, such a...	ondemand	[ { "content": "You are a helpful assistant. Follow the user instruction to extract information from the given text into a concise markdown table.", "role": "system" }, { "content": "I'm in the market for a new house and want to find details about the ones for sale in a particular neighborhood, such a...	3144	[ { "content": "You are a helpful assistant. Follow the user instruction to extract information from the given text into a concise markdown table.", "role": "system" }, { "content": "I'm in the market for a new house and want to find details about the ones for sale in a particular neighborhood, such a...
[ { "content": "Perform Named Entity Recognition to extract entities of type [\"Organization: such as Ssangbangwool, Kekkila Oy, Sampdoria, Ruch Chorzow, Commonwealth.\", \"Location: such as Beijing, Cyprus, Brazil, Balkans, Long Island.\", \"Person: such as Haga, Chris Boardman, David Gilford, Takeda, Xavier Gra...	conll-2003	[ { "content": "Perform Named Entity Recognition to extract entities of type [\"Organization: such as Ssangbangwool, Kekkila Oy, Sampdoria, Ruch Chorzow, Commonwealth.\", \"Location: such as Beijing, Cyprus, Brazil, Balkans, Long Island.\", \"Person: such as Haga, Chris Boardman, David Gilford, Takeda, Xavier Gra...	6691	[ { "content": "Perform Named Entity Recognition to extract entities of type [\"Organization: such as Ssangbangwool, Kekkila Oy, Sampdoria, Ruch Chorzow, Commonwealth.\", \"Location: such as Beijing, Cyprus, Brazil, Balkans, Long Island.\", \"Person: such as Haga, Chris Boardman, David Gilford, Takeda, Xavier Gra...
[ { "content": "In the realm of Open Information Extraction, your task is to parse the provided text and identify any relational tuples it contains. These should include subjects, predicates, objects, and when present, any temporal or spatial information. Should the text not contain any identifiable tuples, your ...	openie4	[ { "content": "In the realm of Open Information Extraction, your task is to parse the provided text and identify any relational tuples it contains. These should include subjects, predicates, objects, and when present, any temporal or spatial information. Should the text not contain any identifiable tuples, your ...	35807	[ { "content": "In the realm of Open Information Extraction, your task is to parse the provided text and identify any relational tuples it contains. These should include subjects, predicates, objects, and when present, any temporal or spatial information. Should the text not contain any identifiable tuples, your ...
[ { "content": "[\"place: such as UN, Kiev, Beijing, House, China.\", \"participant: such as Russia, non - SAP system, Fox News, Powell, Wang Yi.\"]\n\nText: 'POWER PLAYERS IN THE NEWS : The Pope kicked off a six - day tour of Mexico by calling on its president to bring justice to a country racked by corruption a...	RAMS-eae	[ { "content": "[\"place: such as UN, Kiev, Beijing, House, China.\", \"participant: such as Russia, non - SAP system, Fox News, Powell, Wang Yi.\"]\n\nText: 'POWER PLAYERS IN THE NEWS : The Pope kicked off a six - day tour of Mexico by calling on its president to bring justice to a country racked by corruption a...	2463	[ { "content": "[\"place: such as UN, Kiev, Beijing, House, China.\", \"participant: such as Russia, non - SAP system, Fox News, Powell, Wang Yi.\"]\n\nText: 'POWER PLAYERS IN THE NEWS : The Pope kicked off a six - day tour of Mexico by calling on its president to bring justice to a country racked by corruption a...
[ { "content": "In the task of Open Information Extraction, your goal is to dissect the given text to unearth the underlying relationships. This involves pinpointing the subjects, predicates, and objects, as well as noting any relevant temporal or spatial details. Should the text lack relational tuples, kindly re...	openie4	[ { "content": "In the task of Open Information Extraction, your goal is to dissect the given text to unearth the underlying relationships. This involves pinpointing the subjects, predicates, and objects, as well as noting any relevant temporal or spatial details. Should the text lack relational tuples, kindly re...	111946	[ { "content": "In the task of Open Information Extraction, your goal is to dissect the given text to unearth the underlying relationships. This involves pinpointing the subjects, predicates, and objects, as well as noting any relevant temporal or spatial details. Should the text lack relational tuples, kindly re...
[ { "content": "Please analyze the text below and extract the main theme that it conveys. Use [\"place: such as U.S., Libya, North Korea, Munich, Jupiter , Fla..\", \"injurer: such as Turkish forces, Russian dictator and an American demagogue, ISIS, Trump, Bill Clinton.\", \"instrument: such as Car bombs and mort...	RAMS-eae	[ { "content": "Please analyze the text below and extract the main theme that it conveys. Use [\"place: such as U.S., Libya, North Korea, Munich, Jupiter , Fla..\", \"injurer: such as Turkish forces, Russian dictator and an American demagogue, ISIS, Trump, Bill Clinton.\", \"instrument: such as Car bombs and mort...	6524	[ { "content": "Please analyze the text below and extract the main theme that it conveys. Use [\"place: such as U.S., Libya, North Korea, Munich, Jupiter , Fla..\", \"injurer: such as Turkish forces, Russian dictator and an American demagogue, ISIS, Trump, Bill Clinton.\", \"instrument: such as Car bombs and mort...
[ { "content": "In the given text, find out the mention of [\"patient: The other party hostile to the Agent, the entity involved in conflicts with the Agent.\", \"agent: The subject or party that initiates or causes hostilities or conflicts.\", \"location: The location and position where Agent is when carrying ou...	maven-eae	[ { "content": "In the given text, find out the mention of [\"patient: The other party hostile to the Agent, the entity involved in conflicts with the Agent.\", \"agent: The subject or party that initiates or causes hostilities or conflicts.\", \"location: The location and position where Agent is when carrying ou...	21132	[ { "content": "In the given text, find out the mention of [\"patient: The other party hostile to the Agent, the entity involved in conflicts with the Agent.\", \"agent: The subject or party that initiates or causes hostilities or conflicts.\", \"location: The location and position where Agent is when carrying ou...
[ { "content": "Extract and label specific name entities belonging to [\"Miscellaneous: such as British-based, European, Indians, Butch Cassidy and the Sundance Kid, SWISS.\", \"Person: such as David Kelly, Patricia Djate, Dutroux, Arafat, Tommi Makinen.\", \"Location: such as Malaysia, Grande Prairie, Romania, U...	conll-2003	[ { "content": "Extract and label specific name entities belonging to [\"Miscellaneous: such as British-based, European, Indians, Butch Cassidy and the Sundance Kid, SWISS.\", \"Person: such as David Kelly, Patricia Djate, Dutroux, Arafat, Tommi Makinen.\", \"Location: such as Malaysia, Grande Prairie, Romania, U...	11590	[ { "content": "Extract and label specific name entities belonging to [\"Miscellaneous: such as British-based, European, Indians, Butch Cassidy and the Sundance Kid, SWISS.\", \"Person: such as David Kelly, Patricia Djate, Dutroux, Arafat, Tommi Makinen.\", \"Location: such as Malaysia, Grande Prairie, Romania, U...
[ { "content": "You are a helpful assistant. Follow the user instruction to extract information from the given text into a concise markdown table.", "role": "system" }, { "content": "Carefully read the text and pinpoint the relevant information.\nFirst explain your thoughts and then give the answer.\n...	ondemand	[ { "content": "You are a helpful assistant. Follow the user instruction to extract information from the given text into a concise markdown table.", "role": "system" }, { "content": "Carefully read the text and pinpoint the relevant information.\nFirst explain your thoughts and then give the answer.\n...	6338	[ { "content": "You are a helpful assistant. Follow the user instruction to extract information from the given text into a concise markdown table.", "role": "system" }, { "content": "Carefully read the text and pinpoint the relevant information.\nFirst explain your thoughts and then give the answer.\n...
[ { "content": "Named Entity Recognition\n\n[\"Organization: such as Ferrari, Labor Party, Leicester, Interfax, Liverpool.\", \"Location: such as Bosnia, Taiwan, Australia, MAPUTO, Togo.\", \"Miscellaneous: such as Serb-held, French, Democrat, Russian, Java.\", \"Person: such as R. Blakey, Francis Agyepong, Jans ...	conll-2003	[ { "content": "Named Entity Recognition\n\n[\"Organization: such as Ferrari, Labor Party, Leicester, Interfax, Liverpool.\", \"Location: such as Bosnia, Taiwan, Australia, MAPUTO, Togo.\", \"Miscellaneous: such as Serb-held, French, Democrat, Russian, Java.\", \"Person: such as R. Blakey, Francis Agyepong, Jans ...	1939	[ { "content": "Named Entity Recognition\n\n[\"Organization: such as Ferrari, Labor Party, Leicester, Interfax, Liverpool.\", \"Location: such as Bosnia, Taiwan, Australia, MAPUTO, Togo.\", \"Miscellaneous: such as Serb-held, French, Democrat, Russian, Java.\", \"Person: such as R. Blakey, Francis Agyepong, Jans ...
[ { "content": "Extract temporal information between the two events \"killed\" and \"report\" from the text: \"<text>\" \n\nIf there is no temporal information between these events, please output the following failed output: \"<failed_output>\"\nOptions: [before, overlap, contains, simultaneous, begins-on, ends-o...	MAVEN-ERE	[ { "content": "Extract temporal information between the two events \"killed\" and \"report\" from the text: \"<text>\" \n\nIf there is no temporal information between these events, please output the following failed output: \"<failed_output>\"\nOptions: [before, overlap, contains, simultaneous, begins-on, ends-o...	10460	[ { "content": "Extract temporal information between the two events \"killed\" and \"report\" from the text: \"<text>\" \n\nIf there is no temporal information between these events, please output the following failed output: \"<failed_output>\"\nOptions: [before, overlap, contains, simultaneous, begins-on, ends-o...