Split (1)

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": "Engage in the process of Open Information Extraction by identifying and extracting relational tuples from the specified text. These tuples should include subjects, predicates, objects, and, if applicable, any time or location information. If the text does not contain any relational tuples, please ...	openie4	[ { "content": "Engage in the process of Open Information Extraction by identifying and extracting relational tuples from the specified text. These tuples should include subjects, predicates, objects, and, if applicable, any time or location information. If the text does not contain any relational tuples, please ...	171727	[ { "content": "Engage in the process of Open Information Extraction by identifying and extracting relational tuples from the specified text. These tuples should include subjects, predicates, objects, and, if applicable, any time or location information. If the text does not contain any relational tuples, please ...
[ { "content": "In the task of Open Information Extraction, your objective is to sift through the provided text and distill the essential relational tuples it harbors. These tuples should encapsulate subjects, predicates, objects, and when discernible, elements of time and location. Should the text prove barren o...	openie4	[ { "content": "In the task of Open Information Extraction, your objective is to sift through the provided text and distill the essential relational tuples it harbors. These tuples should encapsulate subjects, predicates, objects, and when discernible, elements of time and location. Should the text prove barren o...	78557	[ { "content": "In the task of Open Information Extraction, your objective is to sift through the provided text and distill the essential relational tuples it harbors. These tuples should encapsulate subjects, predicates, objects, and when discernible, elements of time and location. Should the text prove barren o...
[ { "content": "Identify and extract the roles of the event in the sentence - <text>. The possible roles include [\"place: such as Russia, Honduras, the city, office, San Jose.\", \"placeofemployment: such as campaign manager, firm, military, president, the party.\", \"employee: such as Debbie Wasserman - Schultz...	RAMS-eae	[ { "content": "Identify and extract the roles of the event in the sentence - <text>. The possible roles include [\"place: such as Russia, Honduras, the city, office, San Jose.\", \"placeofemployment: such as campaign manager, firm, military, president, the party.\", \"employee: such as Debbie Wasserman - Schultz...	2289	[ { "content": "Identify and extract the roles of the event in the sentence - <text>. The possible roles include [\"place: such as Russia, Honduras, the city, office, San Jose.\", \"placeofemployment: such as campaign manager, firm, military, president, the party.\", \"employee: such as Debbie Wasserman - Schultz...
[ { "content": "Your objective in this Open Information Extraction task is to scrutinize the text and extract relational tuples, focusing on subjects, predicates, objects, and noting any relevant temporal or spatial contexts. If the text does not yield any tuples, your report should state 'No identifiable tuples....	openie4	[ { "content": "Your objective in this Open Information Extraction task is to scrutinize the text and extract relational tuples, focusing on subjects, predicates, objects, and noting any relevant temporal or spatial contexts. If the text does not yield any tuples, your report should state 'No identifiable tuples....	29347	[ { "content": "Your objective in this Open Information Extraction task is to scrutinize the text and extract relational tuples, focusing on subjects, predicates, objects, and noting any relevant temporal or spatial contexts. If the text does not yield any tuples, your report should state 'No identifiable tuples....
[ { "content": "Based on the context provided below, identify the entities that fit the criteria of [origin, transporter, passenger, preventer, destination, vehicle, granter, hidingplace]: Text: 'Lazar appeared confident and relaxed during the four - minute appearance , telling the court he did not need the trans...	RAMS-eae	[ { "content": "Based on the context provided below, identify the entities that fit the criteria of [origin, transporter, passenger, preventer, destination, vehicle, granter, hidingplace]: Text: 'Lazar appeared confident and relaxed during the four - minute appearance , telling the court he did not need the trans...	3946	[ { "content": "Based on the context provided below, identify the entities that fit the criteria of [origin, transporter, passenger, preventer, destination, vehicle, granter, hidingplace]: Text: 'Lazar appeared confident and relaxed during the four - minute appearance , telling the court he did not need the trans...
[ { "content": "From the given text, find and extract [\"Arrest: such as charged, arrested, incarceration, arrest.\", \"Robbery: such as looting, ransacked, plundered.\", \"Hold: such as holds, captured, held, handled, occupy.\", \"Motion_directional: such as passed, dropped, marched, descent, staged.\", \"Warnin...	maven-ed	[ { "content": "From the given text, find and extract [\"Arrest: such as charged, arrested, incarceration, arrest.\", \"Robbery: such as looting, ransacked, plundered.\", \"Hold: such as holds, captured, held, handled, occupy.\", \"Motion_directional: such as passed, dropped, marched, descent, staged.\", \"Warnin...	32192	[ { "content": "From the given text, find and extract [\"Arrest: such as charged, arrested, incarceration, arrest.\", \"Robbery: such as looting, ransacked, plundered.\", \"Hold: such as holds, captured, held, handled, occupy.\", \"Motion_directional: such as passed, dropped, marched, descent, staged.\", \"Warnin...
[ { "content": "Examine the given data and determine the [\"Openness: such as closed down, open, opening, close, opened.\", \"Justifying: such as recognize, justify, justified, accounts, explained.\", \"Attack: such as bombarded, struck, attack.\", \"Sign_agreement: such as signed, signed on, treaty, signing.\", ...	maven-ed	[ { "content": "Examine the given data and determine the [\"Openness: such as closed down, open, opening, close, opened.\", \"Justifying: such as recognize, justify, justified, accounts, explained.\", \"Attack: such as bombarded, struck, attack.\", \"Sign_agreement: such as signed, signed on, treaty, signing.\", ...	27246	[ { "content": "Examine the given data and determine the [\"Openness: such as closed down, open, opening, close, opened.\", \"Justifying: such as recognize, justify, justified, accounts, explained.\", \"Attack: such as bombarded, struck, attack.\", \"Sign_agreement: such as signed, signed on, treaty, signing.\", ...
[ { "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": "Could you extract the names of all the main characters from a given novel and summarize them in a table?\nText: Title: ...	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": "Could you extract the names of all the main characters from a given novel and summarize them in a table?\nText: Title: ...	2068	[ { "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": "Could you extract the names of all the main characters from a given novel and summarize them in a table?\nText: Title: ...
[ { "content": "Your mission in Open Information Extraction is to delve into the provided text and unearth the relational tuples it conceals. These tuples are to include subjects, predicates, objects, and, where applicable, any temporal or spatial markers. In the event that the text is devoid of such tuples, plea...	openie4	[ { "content": "Your mission in Open Information Extraction is to delve into the provided text and unearth the relational tuples it conceals. These tuples are to include subjects, predicates, objects, and, where applicable, any temporal or spatial markers. In the event that the text is devoid of such tuples, plea...	33099	[ { "content": "Your mission in Open Information Extraction is to delve into the provided text and unearth the relational tuples it conceals. These tuples are to include subjects, predicates, objects, and, where applicable, any temporal or spatial markers. In the event that the text is devoid of such tuples, plea...
[ { "content": "Analyze the sentence \"Text: 'The light is out at 11 PM , actually just like in a dormitory .'\" and recognize distinct categories [\"Organization: such as Manville, Black & Decker, the National Organization for Women, Stanford.\", \"Product: such as Spirit, EPO, Cole, I B M.\", \"Time: such as 1...	ontonote5	[ { "content": "Analyze the sentence \"Text: 'The light is out at 11 PM , actually just like in a dormitory .'\" and recognize distinct categories [\"Organization: such as Manville, Black & Decker, the National Organization for Women, Stanford.\", \"Product: such as Spirit, EPO, Cole, I B M.\", \"Time: such as 1...	18907	[ { "content": "Analyze the sentence \"Text: 'The light is out at 11 PM , actually just like in a dormitory .'\" and recognize distinct categories [\"Organization: such as Manville, Black & Decker, the National Organization for Women, Stanford.\", \"Product: such as Spirit, EPO, Cole, I B M.\", \"Time: such as 1...
[ { "content": "Can you identify the event that is most distant in time from the event <event> in the given text?\nText: 'Document: Hurricane Connie contributed to significant flooding across the eastern United States in August 1955, just days before Hurricane Diane affected the same general area. Connie formed o...	MAVEN-ERE	[ { "content": "Can you identify the event that is most distant in time from the event <event> in the given text?\nText: 'Document: Hurricane Connie contributed to significant flooding across the eastern United States in August 1955, just days before Hurricane Diane affected the same general area. Connie formed o...	8534	[ { "content": "Can you identify the event that is most distant in time from the event <event> in the given text?\nText: 'Document: Hurricane Connie contributed to significant flooding across the eastern United States in August 1955, just days before Hurricane Diane affected the same general area. Connie formed o...
[ { "content": "An event can have many roles, such as time, place, and entity. Please extract the roles for the marked event from sentence: ``<text>``. The role set is ``[target, artifact, attacker, instrument, place]``.Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'According to Russ...	RAMS-eae	[ { "content": "An event can have many roles, such as time, place, and entity. Please extract the roles for the marked event from sentence: ``<text>``. The role set is ``[target, artifact, attacker, instrument, place]``.Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'According to Russ...	7125	[ { "content": "An event can have many roles, such as time, place, and entity. Please extract the roles for the marked event from sentence: ``<text>``. The role set is ``[target, artifact, attacker, instrument, place]``.Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'According to Russ...
[ { "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": "Could you provide instructions on how to extract information from the given text?\nText: According to the latest medica...	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": "Could you provide instructions on how to extract information from the given text?\nText: According to the latest medica...	5034	[ { "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": "Could you provide instructions on how to extract information from the given text?\nText: According to the latest medica...
[ { "content": "Find the event mentioned in the sentence 'Text: 'The Schweinfurt–Regensburg mission was a strategic bombing mission during World War II.carried out by boeing b-17 flying fortress heavy bombers of the u.s. army air forces on august 17 , 1943 , it was an ambitious <event> plan </event> to cripple th...	maven-eae	[ { "content": "Find the event mentioned in the sentence 'Text: 'The Schweinfurt–Regensburg mission was a strategic bombing mission during World War II.carried out by boeing b-17 flying fortress heavy bombers of the u.s. army air forces on august 17 , 1943 , it was an ambitious <event> plan </event> to cripple th...	57605	[ { "content": "Find the event mentioned in the sentence 'Text: 'The Schweinfurt–Regensburg mission was a strategic bombing mission during World War II.carried out by boeing b-17 flying fortress heavy bombers of the u.s. army air forces on august 17 , 1943 , it was an ambitious <event> plan </event> to cripple th...
[ { "content": "<text>\n\nWhat are the key components, such as [Patient, Motivation, Content, Location, Outcome, Purpose, Agent], of the given event (marked with <event>)?Please explain first. Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'Hop Farm Music Festival is an annual music f...	maven-eae	[ { "content": "<text>\n\nWhat are the key components, such as [Patient, Motivation, Content, Location, Outcome, Purpose, Agent], of the given event (marked with <event>)?Please explain first. Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'Hop Farm Music Festival is an annual music f...	14317	[ { "content": "<text>\n\nWhat are the key components, such as [Patient, Motivation, Content, Location, Outcome, Purpose, Agent], of the given event (marked with <event>)?Please explain first. Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'Hop Farm Music Festival is an annual music f...
[ { "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": "Please extract the relevant information from the text and keep an eye on any updates concerning the operating hours and...	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": "Please extract the relevant information from the text and keep an eye on any updates concerning the operating hours and...	6581	[ { "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": "Please extract the relevant information from the text and keep an eye on any updates concerning the operating hours and...
[ { "content": "Identify and extract any named entities in the following text: \"<text>\". Label each entity with the appropriate type from [Location, Miscellaneous, Person, Organization]. If no named entities are present in the given text, respond with \"No entities found\".Make analysis according to the sentenc...	conll-2003	[ { "content": "Identify and extract any named entities in the following text: \"<text>\". Label each entity with the appropriate type from [Location, Miscellaneous, Person, Organization]. If no named entities are present in the given text, respond with \"No entities found\".Make analysis according to the sentenc...	12435	[ { "content": "Identify and extract any named entities in the following text: \"<text>\". Label each entity with the appropriate type from [Location, Miscellaneous, Person, Organization]. If no named entities are present in the given text, respond with \"No entities found\".Make analysis according to the sentenc...
[ { "content": "Could you perform Open Information Extraction on the provided text? Your task is to extract all the relational tuples from the text, including predicates, subjects, objects, and any associated time and location elements. Text: Text: 'Van Rijn is , however , far from the modern type of business exe...	openie4	[ { "content": "Could you perform Open Information Extraction on the provided text? Your task is to extract all the relational tuples from the text, including predicates, subjects, objects, and any associated time and location elements. Text: Text: 'Van Rijn is , however , far from the modern type of business exe...	67425	[ { "content": "Could you perform Open Information Extraction on the provided text? Your task is to extract all the relational tuples from the text, including predicates, subjects, objects, and any associated time and location elements. Text: Text: 'Van Rijn is , however , far from the modern type of business exe...
[ { "content": "Analyze the sentence \"Text: '**General Consumer Price Index ( 100=1992 ) , Producer Prices Index and Industrial Production Index ( 100=1990 ) . '\" and recognize distinct categories [\"Person: such as Damian Ejiohuo, Kate Michelman, Yeltsin, Lee Sharpe, Anneke Matthijs.\", \"Miscellaneous: such ...	conll-2003	[ { "content": "Analyze the sentence \"Text: '**General Consumer Price Index ( 100=1992 ) , Producer Prices Index and Industrial Production Index ( 100=1990 ) . '\" and recognize distinct categories [\"Person: such as Damian Ejiohuo, Kate Michelman, Yeltsin, Lee Sharpe, Anneke Matthijs.\", \"Miscellaneous: such ...	13869	[ { "content": "Analyze the sentence \"Text: '**General Consumer Price Index ( 100=1992 ) , Producer Prices Index and Industrial Production Index ( 100=1990 ) . '\" and recognize distinct categories [\"Person: such as Damian Ejiohuo, Kate Michelman, Yeltsin, Lee Sharpe, Anneke Matthijs.\", \"Miscellaneous: such ...
[ { "content": "Please paraphrase the following sentence:\n\n<text>\n\nTry to use different words and structure for the rephrased sentence.\nOptions: [Being_in_operation, Reforming_a_system, Breathing, Ingestion, Communication, Destroying, Award, Preventing_or_letting, Incident, Defending, Hostile_encounter, Infl...	maven-ed	[ { "content": "Please paraphrase the following sentence:\n\n<text>\n\nTry to use different words and structure for the rephrased sentence.\nOptions: [Being_in_operation, Reforming_a_system, Breathing, Ingestion, Communication, Destroying, Award, Preventing_or_letting, Incident, Defending, Hostile_encounter, Infl...	8561	[ { "content": "Please paraphrase the following sentence:\n\n<text>\n\nTry to use different words and structure for the rephrased sentence.\nOptions: [Being_in_operation, Reforming_a_system, Breathing, Ingestion, Communication, Destroying, Award, Preventing_or_letting, Incident, Defending, Hostile_encounter, Infl...
[ { "content": "Identify and annotate the named entities in the given sentence \"<text>\" based on their categories in [\"Money: such as $ 1.5 billion, $ 4 million, $ 1.5 million, $ 2.7 million to $ 3 million, $ 26 million.\", \"Person: such as Tai Jung - fei, Vincent M Ciavarella, Hsu Chin - liang, Wang Chunqing...	ontonote5	[ { "content": "Identify and annotate the named entities in the given sentence \"<text>\" based on their categories in [\"Money: such as $ 1.5 billion, $ 4 million, $ 1.5 million, $ 2.7 million to $ 3 million, $ 26 million.\", \"Person: such as Tai Jung - fei, Vincent M Ciavarella, Hsu Chin - liang, Wang Chunqing...	28644	[ { "content": "Identify and annotate the named entities in the given sentence \"<text>\" based on their categories in [\"Money: such as $ 1.5 billion, $ 4 million, $ 1.5 million, $ 2.7 million to $ 3 million, $ 26 million.\", \"Person: such as Tai Jung - fei, Vincent M Ciavarella, Hsu Chin - liang, Wang Chunqing...
[ { "content": "Provide the [\"'Location' means 'The location or position where the patient is when participating in social activities or organizations.'\", \"'Patient' means 'The social activities, organizations, and competitions that the host and participant participated in.'\", \"'Host' means 'Initiators, orga...	maven-eae	[ { "content": "Provide the [\"'Location' means 'The location or position where the patient is when participating in social activities or organizations.'\", \"'Patient' means 'The social activities, organizations, and competitions that the host and participant participated in.'\", \"'Host' means 'Initiators, orga...	4080	[ { "content": "Provide the [\"'Location' means 'The location or position where the patient is when participating in social activities or organizations.'\", \"'Patient' means 'The social activities, organizations, and competitions that the host and participant participated in.'\", \"'Host' means 'Initiators, orga...
[ { "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 help me extract research questions, methods, results, and conclusions from a series of research papers?\nText: ...	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 help me extract research questions, methods, results, and conclusions from a series of research papers?\nText: ...	2534	[ { "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 help me extract research questions, methods, results, and conclusions from a series of research papers?\nText: ...
[ { "content": "In the task of Open Information Extraction, your objective is to sift through the provided text and distill the essential relational tuples it harbors. These tuples should encapsulate subjects, predicates, objects, and when discernible, elements of time and location. Should the text prove barren o...	openie4	[ { "content": "In the task of Open Information Extraction, your objective is to sift through the provided text and distill the essential relational tuples it harbors. These tuples should encapsulate subjects, predicates, objects, and when discernible, elements of time and location. Should the text prove barren o...	84971	[ { "content": "In the task of Open Information Extraction, your objective is to sift through the provided text and distill the essential relational tuples it harbors. These tuples should encapsulate subjects, predicates, objects, and when discernible, elements of time and location. Should the text prove barren o...
[ { "content": "Perform Named Entity Recognition to extract entities of type [Product, Organization, Cardinal, GPE, Money, Event, NORP, Quantity, Ordinal, Date, Language, Percentage] from the given text\n\nText: Text: 'Britain 's latest trade figures contained some positive news for the economy , such as a surge ...	ontonote5	[ { "content": "Perform Named Entity Recognition to extract entities of type [Product, Organization, Cardinal, GPE, Money, Event, NORP, Quantity, Ordinal, Date, Language, Percentage] from the given text\n\nText: Text: 'Britain 's latest trade figures contained some positive news for the economy , such as a surge ...	45153	[ { "content": "Perform Named Entity Recognition to extract entities of type [Product, Organization, Cardinal, GPE, Money, Event, NORP, Quantity, Ordinal, Date, Language, Percentage] from the given text\n\nText: Text: 'Britain 's latest trade figures contained some positive news for the economy , such as a surge ...
[ { "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": "From a set of legal documents related to a company merger, could you extract the names of the merging companies, date o...	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": "From a set of legal documents related to a company merger, could you extract the names of the merging companies, date o...	1826	[ { "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": "From a set of legal documents related to a company merger, could you extract the names of the merging companies, date o...
[ { "content": "In the text ``<text>``, there is an event \"clashes\". Please extract the roles or arguments for it. The role set: ``[Location, Agent, Patient]''.Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'Operation Downfall was the proposed Allied plan for the invasion of the Jap...	maven-eae	[ { "content": "In the text ``<text>``, there is an event \"clashes\". Please extract the roles or arguments for it. The role set: ``[Location, Agent, Patient]''.Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'Operation Downfall was the proposed Allied plan for the invasion of the Jap...	59464	[ { "content": "In the text ``<text>``, there is an event \"clashes\". Please extract the roles or arguments for it. The role set: ``[Location, Agent, Patient]''.Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'Operation Downfall was the proposed Allied plan for the invasion of the Jap...
[ { "content": "Could you perform Open Information Extraction on the provided text? Your task is to extract all the relational tuples from the text, including predicates, subjects, objects, and any associated time and location elements. Text: Text: 'Although the concept of offering hospitality to the traveler dat...	openie4	[ { "content": "Could you perform Open Information Extraction on the provided text? Your task is to extract all the relational tuples from the text, including predicates, subjects, objects, and any associated time and location elements. Text: Text: 'Although the concept of offering hospitality to the traveler dat...	70385	[ { "content": "Could you perform Open Information Extraction on the provided text? Your task is to extract all the relational tuples from the text, including predicates, subjects, objects, and any associated time and location elements. Text: Text: 'Although the concept of offering hospitality to the traveler dat...
[ { "content": "Identify and extract the roles of the event in the sentence - Text: 'The Battle of Ramadi in 2006 (sometimes referred to as the Second Battle of Ramadi) was fought during the Iraq War from March 2006 to November 2006, for control of the capital of the Al Anbar Governorate in western Iraq. A combin...	maven-eae	[ { "content": "Identify and extract the roles of the event in the sentence - Text: 'The Battle of Ramadi in 2006 (sometimes referred to as the Second Battle of Ramadi) was fought during the Iraq War from March 2006 to November 2006, for control of the capital of the Al Anbar Governorate in western Iraq. A combin...	30779	[ { "content": "Identify and extract the roles of the event in the sentence - Text: 'The Battle of Ramadi in 2006 (sometimes referred to as the Second Battle of Ramadi) was fought during the Iraq War from March 2006 to November 2006, for control of the capital of the Al Anbar Governorate in western Iraq. A combin...
[ { "content": "In the realm of Open Information Extraction, the objective is to uncover relational tuples from natural language text, encapsulating subjects, predicates, objects, as well as potential temporal and spatial attributes. Could you delve into the provided text and extract any relational tuples? If no ...	openie4	[ { "content": "In the realm of Open Information Extraction, the objective is to uncover relational tuples from natural language text, encapsulating subjects, predicates, objects, as well as potential temporal and spatial attributes. Could you delve into the provided text and extract any relational tuples? If no ...	95967	[ { "content": "In the realm of Open Information Extraction, the objective is to uncover relational tuples from natural language text, encapsulating subjects, predicates, objects, as well as potential temporal and spatial attributes. Could you delve into the provided text and extract any relational tuples? If no ...
[ { "content": "Classify the type of all entities in the following text: Text: 'French international midfielder Marcel Desailly fouled the Argentine , whose coach at Boca Juniors before he joined Fiorentina in 1991 was new Milan coach Oscar Tabarez , and Batistuta rammed home the free kick from 30 metres out . '....	conll-2003	[ { "content": "Classify the type of all entities in the following text: Text: 'French international midfielder Marcel Desailly fouled the Argentine , whose coach at Boca Juniors before he joined Fiorentina in 1991 was new Milan coach Oscar Tabarez , and Batistuta rammed home the free kick from 30 metres out . '....	5483	[ { "content": "Classify the type of all entities in the following text: Text: 'French international midfielder Marcel Desailly fouled the Argentine , whose coach at Boca Juniors before he joined Fiorentina in 1991 was new Milan coach Oscar Tabarez , and Batistuta rammed home the free kick from 30 metres out . '....
[ { "content": "Analyze the context and recognize any influential relationships that are either directly or indirectly mentioned in the provided content.\n\nContent: Text: 'Its head office is on the property of <head> Nauru International Airport </head> , <tail> Yaren District </tail> , and its operations office ...	fewrel	[ { "content": "Analyze the context and recognize any influential relationships that are either directly or indirectly mentioned in the provided content.\n\nContent: Text: 'Its head office is on the property of <head> Nauru International Airport </head> , <tail> Yaren District </tail> , and its operations office ...	414	[ { "content": "Analyze the context and recognize any influential relationships that are either directly or indirectly mentioned in the provided content.\n\nContent: Text: 'Its head office is on the property of <head> Nauru International Airport </head> , <tail> Yaren District </tail> , and its operations office ...
[ { "content": "Can we extract and label some entities from text \"<text>\"?\n\n[Miscellaneous, Organization, Location, Person]\n\nPlease give the analysis first. Please give the answer in the form \"[Answer]: {entity}: {type}; \".\n\nText: 'Bonn says Moscow has promised to observe ceasefire . '", "role": "us...	conll-2003	[ { "content": "Can we extract and label some entities from text \"<text>\"?\n\n[Miscellaneous, Organization, Location, Person]\n\nPlease give the analysis first. Please give the answer in the form \"[Answer]: {entity}: {type}; \".\n\nText: 'Bonn says Moscow has promised to observe ceasefire . '", "role": "us...	4882	[ { "content": "Can we extract and label some entities from text \"<text>\"?\n\n[Miscellaneous, Organization, Location, Person]\n\nPlease give the analysis first. Please give the answer in the form \"[Answer]: {entity}: {type}; \".\n\nText: 'Bonn says Moscow has promised to observe ceasefire . '", "role": "us...
[ { "content": "Review the following text and describe the relation between the two entities \"gma weekend report\" and \"philippines\": \n\nText: '<head> GMA Weekend Report </head> was a 15-minute weekend newscast of GMA Network in the <tail> Philippines </tail> from June 23 , 2007 to February 20 , 2010 .'\n\nCh...	fewrel	[ { "content": "Review the following text and describe the relation between the two entities \"gma weekend report\" and \"philippines\": \n\nText: '<head> GMA Weekend Report </head> was a 15-minute weekend newscast of GMA Network in the <tail> Philippines </tail> from June 23 , 2007 to February 20 , 2010 .'\n\nCh...	11768	[ { "content": "Review the following text and describe the relation between the two entities \"gma weekend report\" and \"philippines\": \n\nText: '<head> GMA Weekend Report </head> was a 15-minute weekend newscast of GMA Network in the <tail> Philippines </tail> from June 23 , 2007 to February 20 , 2010 .'\n\nCh...
[ { "content": "Could you perform Open Information Extraction on the provided text? Your task is to extract all the relational tuples from the text, including predicates, subjects, objects, and any associated time and location elements. Text: <text>. If there are no tuples present in the text, please output \"No ...	openie4	[ { "content": "Could you perform Open Information Extraction on the provided text? Your task is to extract all the relational tuples from the text, including predicates, subjects, objects, and any associated time and location elements. Text: <text>. If there are no tuples present in the text, please output \"No ...	66168	[ { "content": "Could you perform Open Information Extraction on the provided text? Your task is to extract all the relational tuples from the text, including predicates, subjects, objects, and any associated time and location elements. Text: <text>. If there are no tuples present in the text, please output \"No ...
[ { "content": "In the provided text, extract the named entities that belong to the category of [\"Organization: such as UN, Charlton, Bochum, Twente Enschede, Stirling.\", \"Miscellaneous: such as BRUSSELS GRAND PRIX, Albanian, English, Rwandan Hutu, Bosnians.\", \"Person: such as Paul Adams, Waqar Younis, Gore,...	conll-2003	[ { "content": "In the provided text, extract the named entities that belong to the category of [\"Organization: such as UN, Charlton, Bochum, Twente Enschede, Stirling.\", \"Miscellaneous: such as BRUSSELS GRAND PRIX, Albanian, English, Rwandan Hutu, Bosnians.\", \"Person: such as Paul Adams, Waqar Younis, Gore,...	3060	[ { "content": "In the provided text, extract the named entities that belong to the category of [\"Organization: such as UN, Charlton, Bochum, Twente Enschede, Stirling.\", \"Miscellaneous: such as BRUSSELS GRAND PRIX, Albanian, English, Rwandan Hutu, Bosnians.\", \"Person: such as Paul Adams, Waqar Younis, Gore,...
[ { "content": "Given the context \"<text>\", provide a list of potential [\"law: such as a bill, the bill, ban or restrict things associated with the Islamic faith, “ anti - terrorism ” legislation, death penalty.\", \"governmentbody: such as Ohio and 30 other states, They, President George Washington, number of...	RAMS-eae	[ { "content": "Given the context \"<text>\", provide a list of potential [\"law: such as a bill, the bill, ban or restrict things associated with the Islamic faith, “ anti - terrorism ” legislation, death penalty.\", \"governmentbody: such as Ohio and 30 other states, They, President George Washington, number of...	1416	[ { "content": "Given the context \"<text>\", provide a list of potential [\"law: such as a bill, the bill, ban or restrict things associated with the Islamic faith, “ anti - terrorism ” legislation, death penalty.\", \"governmentbody: such as Ohio and 30 other states, They, President George Washington, number of...
[ { "content": "Named Entity Recognition\n\n[Location, Miscellaneous, Person, Organization]\n\nText: 'CLEVELAND 1996-08-26 '\n\nIf there are no entities in the text, please answer \"NA\".Make step-by-step analysis according to the sentence and give the answer. Please give the answer in the form \"[Answer]: {entit...	conll-2003	[ { "content": "Named Entity Recognition\n\n[Location, Miscellaneous, Person, Organization]\n\nText: 'CLEVELAND 1996-08-26 '\n\nIf there are no entities in the text, please answer \"NA\".Make step-by-step analysis according to the sentence and give the answer. Please give the answer in the form \"[Answer]: {entit...	7774	[ { "content": "Named Entity Recognition\n\n[Location, Miscellaneous, Person, Organization]\n\nText: 'CLEVELAND 1996-08-26 '\n\nIf there are no entities in the text, please answer \"NA\".Make step-by-step analysis according to the sentence and give the answer. Please give the answer in the form \"[Answer]: {entit...
[ { "content": "Can you identify the temporal relationship between \"moving\" and \"damage\" in the given text? \n<text>\nChoose the answer that corresponds to the correct temporal relationship from the following options: [before, overlap, contains, simultaneous, begins-on, ends-on]. If no temporal relationship e...	MAVEN-ERE	[ { "content": "Can you identify the temporal relationship between \"moving\" and \"damage\" in the given text? \n<text>\nChoose the answer that corresponds to the correct temporal relationship from the following options: [before, overlap, contains, simultaneous, begins-on, ends-on]. If no temporal relationship e...	2504	[ { "content": "Can you identify the temporal relationship between \"moving\" and \"damage\" in the given text? \n<text>\nChoose the answer that corresponds to the correct temporal relationship from the following options: [before, overlap, contains, simultaneous, begins-on, ends-on]. If no temporal relationship e...
[ { "content": "In the given sentence - '<text>', find and specify the different event arguments. Some possible arguments can be [\"money: such as $ 41.4 million, 100,000 rubles, Syrian people, ransom, $ 2.35 million.\", \"preventer: such as Russia, U.N. Security Council, American, the West, House Democrats.\", \...	RAMS-eae	[ { "content": "In the given sentence - '<text>', find and specify the different event arguments. Some possible arguments can be [\"money: such as $ 41.4 million, 100,000 rubles, Syrian people, ransom, $ 2.35 million.\", \"preventer: such as Russia, U.N. Security Council, American, the West, House Democrats.\", \...	6464	[ { "content": "In the given sentence - '<text>', find and specify the different event arguments. Some possible arguments can be [\"money: such as $ 41.4 million, 100,000 rubles, Syrian people, ransom, $ 2.35 million.\", \"preventer: such as Russia, U.N. Security Council, American, the West, House Democrats.\", \...