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[ { "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": "Hey, can you help me go through these healthcare administration job postings and pull out all the skills and qualificat...
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": "Hey, can you help me go through these healthcare administration job postings and pull out all the skills and qualificat...
2101
[ { "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": "Hey, can you help me go through these healthcare administration job postings and pull out all the skills and qualificat...
[ { "content": "Below is a sentence, please match the pairs of entities that have the ['before' means 'A(Event/Timex) is earlier than B(Event/Timex).', 'overlap' means 'the time range of A(Event/Timex) overlaps with the time range of B(Event/Timex).', 'simultaneous' means 'the time range of A(Event/Timex) is the ...
MAVEN-ERE
[ { "content": "Below is a sentence, please match the pairs of entities that have the ['before' means 'A(Event/Timex) is earlier than B(Event/Timex).', 'overlap' means 'the time range of A(Event/Timex) overlaps with the time range of B(Event/Timex).', 'simultaneous' means 'the time range of A(Event/Timex) is the ...
3071
[ { "content": "Below is a sentence, please match the pairs of entities that have the ['before' means 'A(Event/Timex) is earlier than B(Event/Timex).', 'overlap' means 'the time range of A(Event/Timex) overlaps with the time range of B(Event/Timex).', 'simultaneous' means 'the time range of A(Event/Timex) is the ...
[ { "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": "Identify and extract all the relevant information from the given text.\nText: According to the latest box office report...
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": "Identify and extract all the relevant information from the given text.\nText: According to the latest box office report...
4534
[ { "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": "Identify and extract all the relevant information from the given text.\nText: According to the latest box office report...
[ { "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": "Extract the information from the text required to prepare the dish.\nMake analysis according to the sentence and give t...
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": "Extract the information from the text required to prepare the dish.\nMake analysis according to the sentence and give t...
5562
[ { "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": "Extract the information from the text required to prepare the dish.\nMake analysis according to the sentence and give t...
[ { "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: 'When the revelation was given to Moses at Mount Sinai , Aaron he...
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: 'When the revelation was given to Moses at Mount Sinai , Aaron he...
89781
[ { "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: 'When the revelation was given to Moses at Mount Sinai , Aaron he...
[ { "content": "From the given text, extract all entities that match the type of [\"'Organization' means 'Companies, agencies, institutions, etc.'\", \"'NORP' means 'Nationalities or religious or political groups.'\", \"'Product' means 'Objects, vehicles, foods, etc. (Not services).'\", \"'Person' means 'People, ...
ontonote5
[ { "content": "From the given text, extract all entities that match the type of [\"'Organization' means 'Companies, agencies, institutions, etc.'\", \"'NORP' means 'Nationalities or religious or political groups.'\", \"'Product' means 'Objects, vehicles, foods, etc. (Not services).'\", \"'Person' means 'People, ...
46901
[ { "content": "From the given text, extract all entities that match the type of [\"'Organization' means 'Companies, agencies, institutions, etc.'\", \"'NORP' means 'Nationalities or religious or political groups.'\", \"'Product' means 'Objects, vehicles, foods, etc. (Not services).'\", \"'Person' means 'People, ...
[ { "content": "Can you please extract the possible event keywords from the following sentence - 'Text: 'Between 1639 and 1653, Scotland was involved in the Wars of the Three Kingdoms, a series of wars starting with the Bishops Wars (between Scotland and England), the Irish Rebellion of 1641, the English Civil Wa...
maven-eae
[ { "content": "Can you please extract the possible event keywords from the following sentence - 'Text: 'Between 1639 and 1653, Scotland was involved in the Wars of the Three Kingdoms, a series of wars starting with the Bishops Wars (between Scotland and England), the Irish Rebellion of 1641, the English Civil Wa...
1808
[ { "content": "Can you please extract the possible event keywords from the following sentence - 'Text: 'Between 1639 and 1653, Scotland was involved in the Wars of the Three Kingdoms, a series of wars starting with the Bishops Wars (between Scotland and England), the Irish Rebellion of 1641, the English Civil Wa...
[ { "content": "Perform Named Entity Recognition to extract entities of type [\"'WorkOfArt' means 'Titles of books, songs, etc.' For example, 'A Musical Odyssey', '`` Josephine Baker ''', 'World - Wide Tax Revolution', 'Defense Policy White Paper', 'After Hours'.\", \"'Percentage' means 'Percentage, including ”%“...
ontonote5
[ { "content": "Perform Named Entity Recognition to extract entities of type [\"'WorkOfArt' means 'Titles of books, songs, etc.' For example, 'A Musical Odyssey', '`` Josephine Baker ''', 'World - Wide Tax Revolution', 'Defense Policy White Paper', 'After Hours'.\", \"'Percentage' means 'Percentage, including ”%“...
45800
[ { "content": "Perform Named Entity Recognition to extract entities of type [\"'WorkOfArt' means 'Titles of books, songs, etc.' For example, 'A Musical Odyssey', '`` Josephine Baker ''', 'World - Wide Tax Revolution', 'Defense Policy White Paper', 'After Hours'.\", \"'Percentage' means 'Percentage, including ”%“...
[ { "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: [Location, Person]Please explain first. Please give the answer in the form \"[Answer]: {entity}: {type}; \".\nText: 'This , according to the tra...
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: [Location, Person]Please explain first. Please give the answer in the form \"[Answer]: {entity}: {type}; \".\nText: 'This , according to the tra...
7433
[ { "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: [Location, Person]Please explain first. Please give the answer in the form \"[Answer]: {entity}: {type}; \".\nText: 'This , according to the tra...
[ { "content": "Please analyze the given text \"<text>\" and extract all named entities that fall under [NORP, Language, WorkOfArt, Location, Quantity, Time, Law, Event, Facility, Percentage, Person, Cardinal, Money] categories. If there are no entities that match the provided categories, please respond with \"No...
ontonote5
[ { "content": "Please analyze the given text \"<text>\" and extract all named entities that fall under [NORP, Language, WorkOfArt, Location, Quantity, Time, Law, Event, Facility, Percentage, Person, Cardinal, Money] categories. If there are no entities that match the provided categories, please respond with \"No...
29992
[ { "content": "Please analyze the given text \"<text>\" and extract all named entities that fall under [NORP, Language, WorkOfArt, Location, Quantity, Time, Law, Event, Facility, Percentage, Person, Cardinal, Money] categories. If there are no entities that match the provided categories, please respond with \"No...
[ { "content": "Event Coreference Relation Extraction\n\n<text>\n\n[coreference].Please give the answer in the list form \"[Answer]: [{relation}]\".\n\nText: 'Document: The Battle of Britain (, literally \"The Air Battle for England\") was a military campaign of the Second World War, in which the Royal Air Force ...
MAVEN-ERE
[ { "content": "Event Coreference Relation Extraction\n\n<text>\n\n[coreference].Please give the answer in the list form \"[Answer]: [{relation}]\".\n\nText: 'Document: The Battle of Britain (, literally \"The Air Battle for England\") was a military campaign of the Second World War, in which the Royal Air Force ...
12745
[ { "content": "Event Coreference Relation Extraction\n\n<text>\n\n[coreference].Please give the answer in the list form \"[Answer]: [{relation}]\".\n\nText: 'Document: The Battle of Britain (, literally \"The Air Battle for England\") was a military campaign of the Second World War, in which the Royal Air Force ...
[ { "content": "Your task is to identify and extract the named entities from the following text:\n\n\"Text: 'MAE SOT , Thailand 1996-08-25 '\".\n\nPlease label the entities according to the following categories: [Location, Organization, Person, Miscellaneous].\n\nIf no entities are found, please report the result...
conll-2003
[ { "content": "Your task is to identify and extract the named entities from the following text:\n\n\"Text: 'MAE SOT , Thailand 1996-08-25 '\".\n\nPlease label the entities according to the following categories: [Location, Organization, Person, Miscellaneous].\n\nIf no entities are found, please report the result...
5991
[ { "content": "Your task is to identify and extract the named entities from the following text:\n\n\"Text: 'MAE SOT , Thailand 1996-08-25 '\".\n\nPlease label the entities according to the following categories: [Location, Organization, Person, Miscellaneous].\n\nIf no entities are found, please report the result...
[ { "content": "Identify and extract the roles of the event in the sentence - Text: 'Kansas Secretary of State Kris Kobach , a Republican , had barred such voters from voting in state and local races because they did n’t provide documentary proof of citizenship when they registered . A controversial Kansas law , ...
RAMS-eae
[ { "content": "Identify and extract the roles of the event in the sentence - Text: 'Kansas Secretary of State Kris Kobach , a Republican , had barred such voters from voting in state and local races because they did n’t provide documentary proof of citizenship when they registered . A controversial Kansas law , ...
101
[ { "content": "Identify and extract the roles of the event in the sentence - Text: 'Kansas Secretary of State Kris Kobach , a Republican , had barred such voters from voting in state and local races because they did n’t provide documentary proof of citizenship when they registered . A controversial Kansas law , ...
[ { "content": "Consider [otherparticipant, rejecternullifier, place], extract them for the given event {event} based on the context \"<text>\"Make analysis according to the sentence and give the answer. Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'A Syrian army source said the air...
RAMS-eae
[ { "content": "Consider [otherparticipant, rejecternullifier, place], extract them for the given event {event} based on the context \"<text>\"Make analysis according to the sentence and give the answer. Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'A Syrian army source said the air...
5142
[ { "content": "Consider [otherparticipant, rejecternullifier, place], extract them for the given event {event} based on the context \"<text>\"Make analysis according to the sentence and give the answer. Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'A Syrian army source said the air...
[ { "content": "Identify and annotate the named entities in the given sentence \"Text: 'They should not do any of these things , because there are still men in every city who teach the Law of Moses .'\" based on their categories in [\"Money: Monetary values, including unit.\", \"Event: Named hurricanes, battles, ...
ontonote5
[ { "content": "Identify and annotate the named entities in the given sentence \"Text: 'They should not do any of these things , because there are still men in every city who teach the Law of Moses .'\" based on their categories in [\"Money: Monetary values, including unit.\", \"Event: Named hurricanes, battles, ...
72304
[ { "content": "Identify and annotate the named entities in the given sentence \"Text: 'They should not do any of these things , because there are still men in every city who teach the Law of Moses .'\" based on their categories in [\"Money: Monetary values, including unit.\", \"Event: Named hurricanes, battles, ...
[ { "content": "Please extract the key information ([\"Patient: The other party hostile to the Agent, the entity involved in conflicts with the Agent. For example, New Zealand, pickets at a British Steel Corporation, Ethiopian government, frederick ii, Indigenous Australians.\", \"Agent: The subject or party that...
maven-eae
[ { "content": "Please extract the key information ([\"Patient: The other party hostile to the Agent, the entity involved in conflicts with the Agent. For example, New Zealand, pickets at a British Steel Corporation, Ethiopian government, frederick ii, Indigenous Australians.\", \"Agent: The subject or party that...
23615
[ { "content": "Please extract the key information ([\"Patient: The other party hostile to the Agent, the entity involved in conflicts with the Agent. For example, New Zealand, pickets at a British Steel Corporation, Ethiopian government, frederick ii, Indigenous Australians.\", \"Agent: The subject or party that...
[ { "content": "Review the following text and describe the relation between the two entities \"1878 conclave\" and \"vincenzo gioacchino raffaele luigi pecci\": \n\nText: 'Mihalović participated in the <head> 1878 conclave </head> on which <tail> Vincenzo Gioacchino Raffaele Luigi Pecci </tail> was elected Pope ....
fewrel
[ { "content": "Review the following text and describe the relation between the two entities \"1878 conclave\" and \"vincenzo gioacchino raffaele luigi pecci\": \n\nText: 'Mihalović participated in the <head> 1878 conclave </head> on which <tail> Vincenzo Gioacchino Raffaele Luigi Pecci </tail> was elected Pope ....
18143
[ { "content": "Review the following text and describe the relation between the two entities \"1878 conclave\" and \"vincenzo gioacchino raffaele luigi pecci\": \n\nText: 'Mihalović participated in the <head> 1878 conclave </head> on which <tail> Vincenzo Gioacchino Raffaele Luigi Pecci </tail> was elected Pope ....
[ { "content": "Extract the [\"Score: The final score of the match, such as 4-1, etc. For example, 2–2, 2–1, 39 runs, 203 ( −7 ), 853.\", \"Event: Specific projects of competitions and contests, such as football, tennis, etc. For example, Boxing, golf, cricket, ice hockey, multi-sport.\", \"Location: Location and...
maven-eae
[ { "content": "Extract the [\"Score: The final score of the match, such as 4-1, etc. For example, 2–2, 2–1, 39 runs, 203 ( −7 ), 853.\", \"Event: Specific projects of competitions and contests, such as football, tennis, etc. For example, Boxing, golf, cricket, ice hockey, multi-sport.\", \"Location: Location and...
34106
[ { "content": "Extract the [\"Score: The final score of the match, such as 4-1, etc. For example, 2–2, 2–1, 39 runs, 203 ( −7 ), 853.\", \"Event: Specific projects of competitions and contests, such as football, tennis, etc. For example, Boxing, golf, cricket, ice hockey, multi-sport.\", \"Location: Location and...
[ { "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": "Obtain the relevant information from the text by extracting it.\nMake analysis according to the sentence and give the 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": "Obtain the relevant information from the text by extracting it.\nMake analysis according to the sentence and give the a...
6452
[ { "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": "Obtain the relevant information from the text by extracting it.\nMake analysis according to the sentence and give the a...
[ { "content": "[place, monitor, inspectedentity, observer, observedentity, monitoredentity, inspector]\n\n<text>\n\nLet's do event argument extraction.Please generate a step-by-step explanation first. Please give the answer in the form \"[Answer]: {word}: {role}; \".\nText: 'Where there was resistance , it came ...
RAMS-eae
[ { "content": "[place, monitor, inspectedentity, observer, observedentity, monitoredentity, inspector]\n\n<text>\n\nLet's do event argument extraction.Please generate a step-by-step explanation first. Please give the answer in the form \"[Answer]: {word}: {role}; \".\nText: 'Where there was resistance , it came ...
792
[ { "content": "[place, monitor, inspectedentity, observer, observedentity, monitoredentity, inspector]\n\n<text>\n\nLet's do event argument extraction.Please generate a step-by-step explanation first. Please give the answer in the form \"[Answer]: {word}: {role}; \".\nText: 'Where there was resistance , it came ...
[ { "content": "Review the following text and describe the relation between the two entities \"george clooney\" and \"laglio\": \n\nText: 'Filming also took place in Chicago , Amsterdam , Paris , Monte Carlo , Lake Como ( at <head> George Clooney </head> 's Villa in <tail> Laglio </tail> ) , Rome and Castellammar...
fewrel
[ { "content": "Review the following text and describe the relation between the two entities \"george clooney\" and \"laglio\": \n\nText: 'Filming also took place in Chicago , Amsterdam , Paris , Monte Carlo , Lake Como ( at <head> George Clooney </head> 's Villa in <tail> Laglio </tail> ) , Rome and Castellammar...
26079
[ { "content": "Review the following text and describe the relation between the two entities \"george clooney\" and \"laglio\": \n\nText: 'Filming also took place in Chicago , Amsterdam , Paris , Monte Carlo , Lake Como ( at <head> George Clooney </head> 's Villa in <tail> Laglio </tail> ) , Rome and Castellammar...
[ { "content": "Text: 'How much room to maneuver does Taiwan have in this respect ?'\n\n[\"'Date' means 'Absolute or relative dates or periods.'\", \"'WorkOfArt' means 'Titles of books, songs, etc.'\", \"'Time' means 'Times smaller than a day.'\", \"'GPE' means 'Countries, cities, states.'\", \"'Organization' mea...
ontonote5
[ { "content": "Text: 'How much room to maneuver does Taiwan have in this respect ?'\n\n[\"'Date' means 'Absolute or relative dates or periods.'\", \"'WorkOfArt' means 'Titles of books, songs, etc.'\", \"'Time' means 'Times smaller than a day.'\", \"'GPE' means 'Countries, cities, states.'\", \"'Organization' mea...
25916
[ { "content": "Text: 'How much room to maneuver does Taiwan have in this respect ?'\n\n[\"'Date' means 'Absolute or relative dates or periods.'\", \"'WorkOfArt' means 'Titles of books, songs, etc.'\", \"'Time' means 'Times smaller than a day.'\", \"'GPE' means 'Countries, cities, states.'\", \"'Organization' mea...
[ { "content": "Identify and annotate the named entities in the given sentence \"<text>\" based on their categories in [Miscellaneous, Organization, Location, Person]. If there are no named entities, return \"No entities found\".Please give the analysis first. Please give the answer in the form \"[Answer]: {entit...
conll-2003
[ { "content": "Identify and annotate the named entities in the given sentence \"<text>\" based on their categories in [Miscellaneous, Organization, Location, Person]. If there are no named entities, return \"No entities found\".Please give the analysis first. Please give the answer in the form \"[Answer]: {entit...
5972
[ { "content": "Identify and annotate the named entities in the given sentence \"<text>\" based on their categories in [Miscellaneous, Organization, Location, Person]. If there are no named entities, return \"No entities found\".Please give the analysis first. Please give the answer in the form \"[Answer]: {entit...
[ { "content": "Can we extract relations between the two entities from the text?\nText: 'The city of Pithole derived its name from its proximity to <head> Pithole Creek </head> , which flows through Venango County to the <tail> Allegheny River </tail> .'\n\nIf any, classify the relation into the categories: [part...
fewrel
[ { "content": "Can we extract relations between the two entities from the text?\nText: 'The city of Pithole derived its name from its proximity to <head> Pithole Creek </head> , which flows through Venango County to the <tail> Allegheny River </tail> .'\n\nIf any, classify the relation into the categories: [part...
15960
[ { "content": "Can we extract relations between the two entities from the text?\nText: 'The city of Pithole derived its name from its proximity to <head> Pithole Creek </head> , which flows through Venango County to the <tail> Allegheny River </tail> .'\n\nIf any, classify the relation into the categories: [part...
[ { "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": "Find locations and addresses of local pub restaurants within a 10-mile radius of postcode SW1A 1AA by extracting necess...
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": "Find locations and addresses of local pub restaurants within a 10-mile radius of postcode SW1A 1AA by extracting necess...
5783
[ { "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": "Find locations and addresses of local pub restaurants within a 10-mile radius of postcode SW1A 1AA by extracting necess...
[ { "content": "In the context of \"<text>\", identify the time and date mentioned in the text. Please label them with the format given. \n[Defending, Change_sentiment, Change, Containing, Control, Reporting, Judgment_communication, Self_motion, Supporting, Know, Award, Rewards_and_punishments, Expend_resource, N...
maven-ed
[ { "content": "In the context of \"<text>\", identify the time and date mentioned in the text. Please label them with the format given. \n[Defending, Change_sentiment, Change, Containing, Control, Reporting, Judgment_communication, Self_motion, Supporting, Know, Award, Rewards_and_punishments, Expend_resource, N...
21684
[ { "content": "In the context of \"<text>\", identify the time and date mentioned in the text. Please label them with the format given. \n[Defending, Change_sentiment, Change, Containing, Control, Reporting, Judgment_communication, Self_motion, Supporting, Know, Award, Rewards_and_punishments, Expend_resource, N...
[ { "content": "Recognize entities from the following sentence and classify the entity type into the options.\nOptions: [[NORP, Money, WorkOfArt, Law, Percentage, Language, Event, Person, Location, Time, Product, Cardinal, Facility, Ordinal, GPE]]. Please give the answer in the form \"[Answer]: {entity}: {type}; ...
ontonote5
[ { "content": "Recognize entities from the following sentence and classify the entity type into the options.\nOptions: [[NORP, Money, WorkOfArt, Law, Percentage, Language, Event, Person, Location, Time, Product, Cardinal, Facility, Ordinal, GPE]]. Please give the answer in the form \"[Answer]: {entity}: {type}; ...
106873
[ { "content": "Recognize entities from the following sentence and classify the entity type into the options.\nOptions: [[NORP, Money, WorkOfArt, Law, Percentage, Language, Event, Person, Location, Time, Product, Cardinal, Facility, Ordinal, GPE]]. Please give the answer in the form \"[Answer]: {entity}: {type}; ...
[ { "content": "Examine the given text: Text: 'Carawan is famous for introducing the <tail> protest song </tail> \" <head> We Shall Overcome </head> \" to the American Civil Rights Movement , by teaching it to the Student Nonviolent Coordinating Committee ( SNCC ) in 1960 .', find the entity \"we shall overcome\"...
fewrel
[ { "content": "Examine the given text: Text: 'Carawan is famous for introducing the <tail> protest song </tail> \" <head> We Shall Overcome </head> \" to the American Civil Rights Movement , by teaching it to the Student Nonviolent Coordinating Committee ( SNCC ) in 1960 .', find the entity \"we shall overcome\"...
31290
[ { "content": "Examine the given text: Text: 'Carawan is famous for introducing the <tail> protest song </tail> \" <head> We Shall Overcome </head> \" to the American Civil Rights Movement , by teaching it to the Student Nonviolent Coordinating Committee ( SNCC ) in 1960 .', find the entity \"we shall overcome\"...
[ { "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 trying to find job postings that match certain keywords on a job board. Can you help me extract them?\nText: Job Bo...
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 trying to find job postings that match certain keywords on a job board. Can you help me extract them?\nText: Job Bo...
2659
[ { "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 trying to find job postings that match certain keywords on a job board. Can you help me extract them?\nText: Job Bo...
[ { "content": "Extract and label specific name entities belonging to [Cardinal, Money, Language, Organization, Facility, Time, Date, NORP, Quantity, Ordinal, GPE, WorkOfArt, Event, Person] from Text: 'This seems to be happening now to limited partnerships , many of which either have gone into the tank in recent ...
ontonote5
[ { "content": "Extract and label specific name entities belonging to [Cardinal, Money, Language, Organization, Facility, Time, Date, NORP, Quantity, Ordinal, GPE, WorkOfArt, Event, Person] from Text: 'This seems to be happening now to limited partnerships , many of which either have gone into the tank in recent ...
52588
[ { "content": "Extract and label specific name entities belonging to [Cardinal, Money, Language, Organization, Facility, Time, Date, NORP, Quantity, Ordinal, GPE, WorkOfArt, Event, Person] from Text: 'This seems to be happening now to limited partnerships , many of which either have gone into the tank in recent ...
[ { "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 ...
85042
[ { "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": "<text>\n\n[\"Law: such as Article 2 of the San Francisco Treaty, National Drug Control Policy, Article I , Section 7 , Clause 3, Chapter 11, the constitution of the Council.\", \"Person: such as Chen Shui - bian, Mullah Mustafa Barzani, Tarik Al - Hashimi, John McCarthy, Maurice Saatchi.\", \"Prod...
ontonote5
[ { "content": "<text>\n\n[\"Law: such as Article 2 of the San Francisco Treaty, National Drug Control Policy, Article I , Section 7 , Clause 3, Chapter 11, the constitution of the Council.\", \"Person: such as Chen Shui - bian, Mullah Mustafa Barzani, Tarik Al - Hashimi, John McCarthy, Maurice Saatchi.\", \"Prod...
754
[ { "content": "<text>\n\n[\"Law: such as Article 2 of the San Francisco Treaty, National Drug Control Policy, Article I , Section 7 , Clause 3, Chapter 11, the constitution of the Council.\", \"Person: such as Chen Shui - bian, Mullah Mustafa Barzani, Tarik Al - Hashimi, John McCarthy, Maurice Saatchi.\", \"Prod...
[ { "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...
16873
[ { "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": "Extract and label specific name entities belonging to [\"Event: such as US Tennis Open, Iran - Contra, Asia Pacific Economic Co-operation Summit, Koreagate, the Japan - China Economic Forum.\", \"Law: such as Gramm - Rudman, Chapter 7 Bankruptcy Code, Bankruptcy Code, article 230 of the contract l...
ontonote5
[ { "content": "Extract and label specific name entities belonging to [\"Event: such as US Tennis Open, Iran - Contra, Asia Pacific Economic Co-operation Summit, Koreagate, the Japan - China Economic Forum.\", \"Law: such as Gramm - Rudman, Chapter 7 Bankruptcy Code, Bankruptcy Code, article 230 of the contract l...
106410
[ { "content": "Extract and label specific name entities belonging to [\"Event: such as US Tennis Open, Iran - Contra, Asia Pacific Economic Co-operation Summit, Koreagate, the Japan - China Economic Forum.\", \"Law: such as Gramm - Rudman, Chapter 7 Bankruptcy Code, Bankruptcy Code, article 230 of the contract l...
[ { "content": "Please extract the temporal relations from \"Text: 'Document: The Loud Tour was the fourth overall and third world concert tour by Barbadian recording artist Rihanna. Performing in over twenty countries in the Americas and Europe, the tour was launched in support of Rihanna's fifth studio album ``...
MAVEN-ERE
[ { "content": "Please extract the temporal relations from \"Text: 'Document: The Loud Tour was the fourth overall and third world concert tour by Barbadian recording artist Rihanna. Performing in over twenty countries in the Americas and Europe, the tour was launched in support of Rihanna's fifth studio album ``...
17399
[ { "content": "Please extract the temporal relations from \"Text: 'Document: The Loud Tour was the fourth overall and third world concert tour by Barbadian recording artist Rihanna. Performing in over twenty countries in the Americas and Europe, the tour was launched in support of Rihanna's fifth studio album ``...
[ { "content": "Analyze the sentence \"Text: 'Last year , annual imports and exports of state - owned enterprises were 163.06 billion US dollars , increasing by 12.7 % and accounting for 50.4 % of foreign trade volumes .'\" and recognize distinct categories [Percentage, Law, Quantity, Facility, Product, Language...
ontonote5
[ { "content": "Analyze the sentence \"Text: 'Last year , annual imports and exports of state - owned enterprises were 163.06 billion US dollars , increasing by 12.7 % and accounting for 50.4 % of foreign trade volumes .'\" and recognize distinct categories [Percentage, Law, Quantity, Facility, Product, Language...
62101
[ { "content": "Analyze the sentence \"Text: 'Last year , annual imports and exports of state - owned enterprises were 163.06 billion US dollars , increasing by 12.7 % and accounting for 50.4 % of foreign trade volumes .'\" and recognize distinct categories [Percentage, Law, Quantity, Facility, Product, Language...
[ { "content": "Can we extract relations between the two events from the text?\n<text>\n\nIf any, classify the relation into the categories: [before: 'A(Event/Timex) is earlier than B(Event/Timex).', overlap: 'the time range of A(Event/Timex) overlaps with the time range of B(Event/Timex).', contains: 'the time r...
MAVEN-ERE
[ { "content": "Can we extract relations between the two events from the text?\n<text>\n\nIf any, classify the relation into the categories: [before: 'A(Event/Timex) is earlier than B(Event/Timex).', overlap: 'the time range of A(Event/Timex) overlaps with the time range of B(Event/Timex).', contains: 'the time r...
9390
[ { "content": "Can we extract relations between the two events from the text?\n<text>\n\nIf any, classify the relation into the categories: [before: 'A(Event/Timex) is earlier than B(Event/Timex).', overlap: 'the time range of A(Event/Timex) overlaps with the time range of B(Event/Timex).', contains: 'the time r...
[ { "content": "Extract the entities and events from the following sentence: \"Text: 'Israeli historian Benny Morris suggests up to 450 Palestinians and 9–10 Israeli soldiers died.'\". Check the options for the list of possible entities and events.\nOptions: [Cause_to_make_progress, Recovering, Attack, Getting, I...
maven-ed
[ { "content": "Extract the entities and events from the following sentence: \"Text: 'Israeli historian Benny Morris suggests up to 450 Palestinians and 9–10 Israeli soldiers died.'\". Check the options for the list of possible entities and events.\nOptions: [Cause_to_make_progress, Recovering, Attack, Getting, I...
13346
[ { "content": "Extract the entities and events from the following sentence: \"Text: 'Israeli historian Benny Morris suggests up to 450 Palestinians and 9–10 Israeli soldiers died.'\". Check the options for the list of possible entities and events.\nOptions: [Cause_to_make_progress, Recovering, Attack, Getting, I...
[ { "content": "Examine the given data and determine the [\"Commerce_sell\", \"Competition\", \"Creating\", \"Receiving\", \"Supply\", \"Come_together\", \"Aiming\", \"Traveling\", \"Collaboration\", \"Motion\", \"Becoming\", \"Imposing_obligation\", \"Scouring\", \"Risk\", \"Change_sentiment\", \"Robbery: such a...
maven-ed
[ { "content": "Examine the given data and determine the [\"Commerce_sell\", \"Competition\", \"Creating\", \"Receiving\", \"Supply\", \"Come_together\", \"Aiming\", \"Traveling\", \"Collaboration\", \"Motion\", \"Becoming\", \"Imposing_obligation\", \"Scouring\", \"Risk\", \"Change_sentiment\", \"Robbery: such a...
7565
[ { "content": "Examine the given data and determine the [\"Commerce_sell\", \"Competition\", \"Creating\", \"Receiving\", \"Supply\", \"Come_together\", \"Aiming\", \"Traveling\", \"Collaboration\", \"Motion\", \"Becoming\", \"Imposing_obligation\", \"Scouring\", \"Risk\", \"Change_sentiment\", \"Robbery: such a...
[ { "content": "[communicator, place, recipient]\n\nDoes the context ``<text>`` express some roles for the given event? If any, output them. If not, please answer \"There are no roles for the event\".Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: '“ We need to have a third Maidan , ” ...
RAMS-eae
[ { "content": "[communicator, place, recipient]\n\nDoes the context ``<text>`` express some roles for the given event? If any, output them. If not, please answer \"There are no roles for the event\".Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: '“ We need to have a third Maidan , ” ...
3283
[ { "content": "[communicator, place, recipient]\n\nDoes the context ``<text>`` express some roles for the given event? If any, output them. If not, please answer \"There are no roles for the event\".Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: '“ We need to have a third Maidan , ” ...
[ { "content": "Your task is to identify and extract the named entities from the following text:\n\n\"<text>\".\n\nPlease label the entities according to the following categories: [\"Person: such as Jiang, Conchita Martinez, Mark Cairns, Judith Curren, Paul Broadhurst.\", \"Location: such as Moscow, Ukraina Palac...
conll-2003
[ { "content": "Your task is to identify and extract the named entities from the following text:\n\n\"<text>\".\n\nPlease label the entities according to the following categories: [\"Person: such as Jiang, Conchita Martinez, Mark Cairns, Judith Curren, Paul Broadhurst.\", \"Location: such as Moscow, Ukraina Palac...
2182
[ { "content": "Your task is to identify and extract the named entities from the following text:\n\n\"<text>\".\n\nPlease label the entities according to the following categories: [\"Person: such as Jiang, Conchita Martinez, Mark Cairns, Judith Curren, Paul Broadhurst.\", \"Location: such as Moscow, Ukraina Palac...
[ { "content": "Find the entity pair with a relationship in the following text: \nText: 'The <tail> Izbucul River </tail> or Valea Izbucului River is a headwater of the <head> Bătrâna River </head> in Romania .'\nand choose the corresponding relationship from the set of categories: [after a work by, occupation, o...
fewrel
[ { "content": "Find the entity pair with a relationship in the following text: \nText: 'The <tail> Izbucul River </tail> or Valea Izbucului River is a headwater of the <head> Bătrâna River </head> in Romania .'\nand choose the corresponding relationship from the set of categories: [after a work by, occupation, o...
33798
[ { "content": "Find the entity pair with a relationship in the following text: \nText: 'The <tail> Izbucul River </tail> or Valea Izbucului River is a headwater of the <head> Bătrâna River </head> in Romania .'\nand choose the corresponding relationship from the set of categories: [after a work by, occupation, o...
[ { "content": "Please analyze the given text \"<text>\" and extract all named entities that fall under [Organization, Location, Miscellaneous, Person] categories. If there are no entities that match the provided categories, please respond with \"No corresponding entities found within the text\".First explain you...
conll-2003
[ { "content": "Please analyze the given text \"<text>\" and extract all named entities that fall under [Organization, Location, Miscellaneous, Person] categories. If there are no entities that match the provided categories, please respond with \"No corresponding entities found within the text\".First explain you...
5292
[ { "content": "Please analyze the given text \"<text>\" and extract all named entities that fall under [Organization, Location, Miscellaneous, Person] categories. If there are no entities that match the provided categories, please respond with \"No corresponding entities found within the text\".First explain you...
[ { "content": "For the sentence \"Text: 'The Boston Massacre, known to the British as the Incident on King Street, was a confrontation on March 5, 1770 in which British soldiers shot and killed several people while being harassed by a mob in Boston. The event was heavily publicized by leading Patriots such as Pa...
maven-eae
[ { "content": "For the sentence \"Text: 'The Boston Massacre, known to the British as the Incident on King Street, was a confrontation on March 5, 1770 in which British soldiers shot and killed several people while being harassed by a mob in Boston. The event was heavily publicized by leading Patriots such as Pa...
19938
[ { "content": "For the sentence \"Text: 'The Boston Massacre, known to the British as the Incident on King Street, was a confrontation on March 5, 1770 in which British soldiers shot and killed several people while being harassed by a mob in Boston. The event was heavily publicized by leading Patriots such as Pa...
[ { "content": "Event Causal Relation Extraction\n\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 on August 3 from a tropical wave in the eastern Atlantic Ocean. ...
MAVEN-ERE
[ { "content": "Event Causal Relation Extraction\n\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 on August 3 from a tropical wave in the eastern Atlantic Ocean. ...
8923
[ { "content": "Event Causal Relation Extraction\n\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 on August 3 from a tropical wave in the eastern Atlantic Ocean. ...
[ { "content": "Identify the type of relationship between \"nude for satan\" and \"italy\", marked in the given text \"<text>\". Please classify it into one of the following categories: ['religion' means '', 'place served by transport hub' means 'territorial entity or entities served by this transport hub (airpor...
fewrel
[ { "content": "Identify the type of relationship between \"nude for satan\" and \"italy\", marked in the given text \"<text>\". Please classify it into one of the following categories: ['religion' means '', 'place served by transport hub' means 'territorial entity or entities served by this transport hub (airpor...
11685
[ { "content": "Identify the type of relationship between \"nude for satan\" and \"italy\", marked in the given text \"<text>\". Please classify it into one of the following categories: ['religion' means '', 'place served by transport hub' means 'territorial entity or entities served by this transport hub (airpor...
[ { "content": "Analyze the context ``<text>``, and output the temporal relations between \"formed\" and \"turning\".\n\nOptions: [before, overlap, contains, simultaneous, ends-on]\n\nIf there is no temporal relation between the two events, answer \"Sorry, there are no temporal relations.\"Make step-by-step analy...
MAVEN-ERE
[ { "content": "Analyze the context ``<text>``, and output the temporal relations between \"formed\" and \"turning\".\n\nOptions: [before, overlap, contains, simultaneous, ends-on]\n\nIf there is no temporal relation between the two events, answer \"Sorry, there are no temporal relations.\"Make step-by-step analy...
728
[ { "content": "Analyze the context ``<text>``, and output the temporal relations between \"formed\" and \"turning\".\n\nOptions: [before, overlap, contains, simultaneous, ends-on]\n\nIf there is no temporal relation between the two events, answer \"Sorry, there are no temporal relations.\"Make step-by-step analy...
[ { "content": "What are the different types or categories of [\"origin: such as Russia, South Carolina, prison, Marseille, Raqqa.\", \"artifact: such as oil tanks, arms, ad sales, oil shipments, oil.\", \"vehicle: such as trailer, their own trucks, low - loader, car, an unmanned capsule.\", \"destination: such a...
RAMS-eae
[ { "content": "What are the different types or categories of [\"origin: such as Russia, South Carolina, prison, Marseille, Raqqa.\", \"artifact: such as oil tanks, arms, ad sales, oil shipments, oil.\", \"vehicle: such as trailer, their own trucks, low - loader, car, an unmanned capsule.\", \"destination: such a...
37
[ { "content": "What are the different types or categories of [\"origin: such as Russia, South Carolina, prison, Marseille, Raqqa.\", \"artifact: such as oil tanks, arms, ad sales, oil shipments, oil.\", \"vehicle: such as trailer, their own trucks, low - loader, car, an unmanned capsule.\", \"destination: such a...
[ { "content": "Given the following text, [\"Creating: such as designs, created, established, generated, issued.\", \"Action\", \"Process_end: such as finish, Truce, ended, final.\", \"Scouring: such as uncovering, search.\", \"Quarreling: such as disputed, argued, arguing.\", \"Vocalizations: such as shouted, sa...
maven-ed
[ { "content": "Given the following text, [\"Creating: such as designs, created, established, generated, issued.\", \"Action\", \"Process_end: such as finish, Truce, ended, final.\", \"Scouring: such as uncovering, search.\", \"Quarreling: such as disputed, argued, arguing.\", \"Vocalizations: such as shouted, sa...
13854
[ { "content": "Given the following text, [\"Creating: such as designs, created, established, generated, issued.\", \"Action\", \"Process_end: such as finish, Truce, ended, final.\", \"Scouring: such as uncovering, search.\", \"Quarreling: such as disputed, argued, arguing.\", \"Vocalizations: such as shouted, sa...
[ { "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...
56762
[ { "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": "Perform Named Entity Recognition to extract entities of type [\"Person: such as Chiung Yao 's, Bush, Thatcher, Jennifer Loden, Linda.\", \"Percentage: such as 21 %, 11 %, 1.3 %, 16 %, 34.2 %.\", \"GPE: such as Quito, Japan, U.S., Jinchuan.\", \"Language: such as Cantonese, English.\", \"Facility: ...
ontonote5
[ { "content": "Perform Named Entity Recognition to extract entities of type [\"Person: such as Chiung Yao 's, Bush, Thatcher, Jennifer Loden, Linda.\", \"Percentage: such as 21 %, 11 %, 1.3 %, 16 %, 34.2 %.\", \"GPE: such as Quito, Japan, U.S., Jinchuan.\", \"Language: such as Cantonese, English.\", \"Facility: ...
11288
[ { "content": "Perform Named Entity Recognition to extract entities of type [\"Person: such as Chiung Yao 's, Bush, Thatcher, Jennifer Loden, Linda.\", \"Percentage: such as 21 %, 11 %, 1.3 %, 16 %, 34.2 %.\", \"GPE: such as Quito, Japan, U.S., Jinchuan.\", \"Language: such as Cantonese, English.\", \"Facility: ...
[ { "content": "Analyze the provided content \"<text>\" and identify any conceivable connections between \"fk rudar prijedor\" and \"premier league\" and highlight the possible scenarios that these relationships may produce. Use the following options: [genre, participant_of, place_served_by_transport_hub, after_a...
fewrel
[ { "content": "Analyze the provided content \"<text>\" and identify any conceivable connections between \"fk rudar prijedor\" and \"premier league\" and highlight the possible scenarios that these relationships may produce. Use the following options: [genre, participant_of, place_served_by_transport_hub, after_a...
36986
[ { "content": "Analyze the provided content \"<text>\" and identify any conceivable connections between \"fk rudar prijedor\" and \"premier league\" and highlight the possible scenarios that these relationships may produce. Use the following options: [genre, participant_of, place_served_by_transport_hub, after_a...
[ { "content": "Detect any named entities in the given sentence \"<text>\" and classify them according to [\"Percentage: Percentage, including ”%“.\", \"Cardinal: two, one, three, One, four, five, six, seven, Two, half.\", \"GPE: Countries, cities, states.\", \"Person\", \"NORP\", \"Time\", \"Date: Absolute or re...
ontonote5
[ { "content": "Detect any named entities in the given sentence \"<text>\" and classify them according to [\"Percentage: Percentage, including ”%“.\", \"Cardinal: two, one, three, One, four, five, six, seven, Two, half.\", \"GPE: Countries, cities, states.\", \"Person\", \"NORP\", \"Time\", \"Date: Absolute or re...
4818
[ { "content": "Detect any named entities in the given sentence \"<text>\" and classify them according to [\"Percentage: Percentage, including ”%“.\", \"Cardinal: two, one, three, One, four, five, six, seven, Two, half.\", \"GPE: Countries, cities, states.\", \"Person\", \"NORP\", \"Time\", \"Date: Absolute or re...
[ { "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 looking for recipes and need to know the list of ingredients and cooking instructions. Can you extract this informa...
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 looking for recipes and need to know the list of ingredients and cooking instructions. Can you extract this informa...
999
[ { "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 looking for recipes and need to know the list of ingredients and cooking instructions. Can you extract this informa...
[ { "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 Batistuta, Vladimir Smicer, Aaron Slight, Khemais Chammari, Therese.\", \"Miscellaneous: such as Miss Universe, German, Islam...
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 Batistuta, Vladimir Smicer, Aaron Slight, Khemais Chammari, Therese.\", \"Miscellaneous: such as Miss Universe, German, Islam...
8619
[ { "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 Batistuta, Vladimir Smicer, Aaron Slight, Khemais Chammari, Therese.\", \"Miscellaneous: such as Miss Universe, German, Islam...
[ { "content": "Extract information from the sentence \"Text: 'Jet fuel stocks lowered as the aviation sector bought . '\" and identify all entities that belong to the categories: [\"Person: such as Pierre Buyoya, Sadiki, Magali Faure, Demel, Alessandro Baronti.\", \"Miscellaneous: such as Vietnamese, BELGIAN, Pa...
conll-2003
[ { "content": "Extract information from the sentence \"Text: 'Jet fuel stocks lowered as the aviation sector bought . '\" and identify all entities that belong to the categories: [\"Person: such as Pierre Buyoya, Sadiki, Magali Faure, Demel, Alessandro Baronti.\", \"Miscellaneous: such as Vietnamese, BELGIAN, Pa...
13573
[ { "content": "Extract information from the sentence \"Text: 'Jet fuel stocks lowered as the aviation sector bought . '\" and identify all entities that belong to the categories: [\"Person: such as Pierre Buyoya, Sadiki, Magali Faure, Demel, Alessandro Baronti.\", \"Miscellaneous: such as Vietnamese, BELGIAN, Pa...