quidangz/ds-uie-150k · Datasets at Hugging Face

instruction stringclasses 9 values	task stringclasses 9 values	ds_name stringclasses 35 values	content stringlengths 1 2.3k	schema stringclasses 61 values	anwser stringlengths 14 3.65k
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	bc5cdr	A case of tardive dyskinesia caused by metoclopramide .	Disease, Chemical	{"entities": [{"name": "tardive dyskinesia", "type": "Disease"}, {"name": "metoclopramide", "type": "Chemical"}]}
Extract all events from the given text and return them in JSON format with the key "events". The output should be a JSON string containing a list of objects, each with "event_type", "trigger", and "arguments" (a list of objects with "name" and "role").	EE	GENIA	No correlation between chromosome 1 alterations and nuclear grade , age, size, lymph-node involvement , hormonal receptor presence , proliferation activity or p53 protein expression was detected.	Event type: ( RNA, cell type, protein, cell line, DNA ) . Arguments type: ( None )	{"events": [{"event_type": "protein", "trigger": "p53", "arguments": []}, {"event_type": "DNA", "trigger": "chromosome 1", "arguments": []}]}
Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.	ES	mit-movie	what are some excellent rated sci fi movies directed by james whale in the last decade	genre, year, plot, average ratings, actor, title, song, character, rating, review, director, trailer	{"entities": ["excellent rated", "sci fi", "james whale", "last decade"]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	PolyglotNER	The hindwings are translucent pale brown , slightly darkening towards the apex .	location, person, organization	{"entities": []}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	kbp37	Saad 32 one of Denmark 's best-known dancehall performers died in the accident early Sunday said her mother Kristine Saad .	cities of residence, top members employees, members, alternate names, origin, state or provinces of residence, title of person, spouse, city of headquarters, NA, founded by, state or province of headquarters, employee of, countries of residence, country of birth, founded, subsidiaries, country of headquarters	{"relations": [{"head": "Saad", "relation": "country of birth", "tail": "Denmark"}]}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	kbp37	Sulla 's Dictatorship constituted one of the most significant developments in the History of the Constitution of the Roman Republic and it served as a warning for the coming civil war which ultimately would destroy the Roman Republic and create the Roman Empire .	cities of residence, top members employees, members, alternate names, origin, state or provinces of residence, title of person, spouse, city of headquarters, NA, founded by, state or province of headquarters, employee of, countries of residence, country of birth, founded, subsidiaries, country of headquarters	{"relations": [{"head": "Sulla", "relation": "employee of", "tail": "Roman Republic"}]}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	New-York-Times-RE_sample_30000	Yunnan is a fascinating province in the southwest of China bordered by Tibet , Myanmar , Laos and Vietnam .	ethnicity, place lived, geographic distribution, company industry, country of administrative divisions, administrative division of country, location contains, person of company, profession, ethnicity of people, company shareholder among major shareholders, sports team of location, religion, neighborhood of, company major shareholders, place of death, nationality, children, company founders, company founded place, country of capital, company advisors, sports team location of teams, place of birth	{"relations": [{"head": "Yunnan", "relation": "administrative division of country", "tail": "China"}, {"head": "China", "relation": "country of administrative divisions", "tail": "Yunnan"}, {"head": "China", "relation": "location contains", "tail": "Yunnan"}]}
Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	ET	PolyglotNER	John MacLoughlin ( 8 September 1871 – 11 September 1943 ) was an Irish politician .	location, person, organization	{"entities": []}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	PolyglotNER	Kallio was less than 5 years old when his parents emigrated to the United States .	location, person, organization	{"entities": [{"name": "Kallio", "type": "person"}]}
Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.	ES	FabNER	Parameter studies provide guidance for minimizing the likelihood of build failure .	manufacturing standard, machanical property, manufacturing process, material, engineering feature, process parameter, machine or equipment, application, process characterization, enabling technology, biomedical, concept or principle	{"entities": ["Parameter", "build failure"]}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	NYT11_sample_30000	At that time , he was the co-founder , along with Herb Alpert , of A&M Records ; he remains an executive in the record business , but yesterday he celebrated his 70th birthday as a Derby-winning owner .	nationality, country capital, place of death, children, location contains, place of birth, place lived, administrative division of country, country of administrative divisions, company, neighborhood of, company founders	{"relations": [{"head": "A&M Records", "relation": "company founders", "tail": "Herb Alpert"}]}
Extract all events from the given text and return them in JSON format with the key "events". The output should be a JSON string containing a list of objects, each with "event_type", "trigger", and "arguments" (a list of objects with "name" and "role").	EE	GENIA	Thus, such unique activation of the inhibitory p50 /p50 homodimer by acute ethanol treatment may result in inhibition rather than activation of NF-kappa B -regulated inflammatory cytokine genes .	Event type: ( RNA, cell type, protein, cell line, DNA ) . Arguments type: ( None )	{"events": [{"event_type": "protein", "trigger": "/p50", "arguments": []}, {"event_type": "DNA", "trigger": "inflammatory cytokine genes", "arguments": []}, {"event_type": "protein", "trigger": "NF-kappa B", "arguments": []}, {"event_type": "protein", "trigger": "p50", "arguments": []}, {"event_type": "DNA", "trigger": "NF-kappa B -regulated inflammatory cytokine genes", "arguments": []}, {"event_type": "protein", "trigger": "inhibitory p50 /p50 homodimer", "arguments": []}]}
Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	ET	GENIA_NER	Involvement of phospholipase D in the activation of transcription factor AP-1 in human T lymphoid Jurkat cells .	cell line, protein, RNA, DNA, cell type	{"entities": [{"name": "transcription factor AP-1", "type": "protein"}, {"name": "human T lymphoid Jurkat cells", "type": "cell line"}, {"name": "Jurkat cells", "type": "cell line"}, {"name": "phospholipase D", "type": "protein"}, {"name": "AP-1", "type": "protein"}]}
Extract all entity pairs and their relationships from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	EPR	ADE_corpus_sample_15000	Does the use of insulin in a patient with liver dysfunction increase water retention in the body , i.e. cause insulin oedema ?	adverse effect	{"relations": [{"head": "oedema", "relation": "adverse effect", "tail": "insulin"}]}
Extract all entity pairs from the given text and return them in JSON format with the key "entity_pairs". The output should be a JSON string containing a list of objects, each with "head" and "tail".	EP	New-York-Times-RE	But in a blow to Mr. Ferrer , several of his fellow Democrats , including the Brooklyn borough president , Marty Markowitz , crossed party lines to endorse Mr. Bloomberg .	ethnicity, place lived, geographic distribution, company industry, country of administrative divisions, administrative division of country, location contains, person of company, profession, ethnicity of people, company shareholder among major shareholders, sports team of location, religion, neighborhood of, company major shareholders, place of death, nationality, children, company founders, company founded place, country of capital, company advisors, sports team location of teams, place of birth	{"entity_pairs": [{"head": "Marty Markowitz", "tail": "Brooklyn"}, {"head": "Marty Markowitz", "tail": "Brooklyn"}]}
Extract all entity pairs from the given text and return them in JSON format with the key "entity_pairs". The output should be a JSON string containing a list of objects, each with "head" and "tail".	EP	semval-RE	details about how catholic church dioceses dealt with allegations of child abuse are to emerge within the coming weeks .	component whole, NA, instrument agency, member collection, cause effect, entity destination, content container, message topic, product producer, entity origin	{"entity_pairs": []}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	ACE 2005_sample_15000	bernie evers is living his life and unindicted .	organization, person, geographical social political, vehicle, location, weapon, facility	{"entities": [{"name": "bernie evers", "type": "person"}, {"name": "his", "type": "person"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	MultiNERD	He became the assistant hitting coach of the Philadelphia Phillies on December 18 , 2013 , and later became their third base coach .	media, plant, vehicle, astronomical object, time, disease, animal, location, person, organization, mythical figure, food, biology, geographical phenomenon, instrument, event	{"entities": [{"name": "Philadelphia Phillies", "type": "organization"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	FabNER	Magnetic characterization indicated that the degree-of-alignment of the magnet powders increased both with alignment field strength ( controlled by the electric current applied to the magnetizing system ) and the printing temperature .	manufacturing standard, machanical property, manufacturing process, material, engineering feature, process parameter, machine or equipment, application, process characterization, enabling technology, biomedical, concept or principle	{"entities": [{"name": "Magnetic characterization", "type": "process characterization"}, {"name": "magnet", "type": "application"}, {"name": "strength", "type": "machanical property"}, {"name": "temperature", "type": "process parameter"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	ACE 2005_sample_15000	so we went into this bunker hoping to find a prison and run into these prisoners and instead we ran into a room fulls of weapons from bullets to hand grenade , land mines , rocket - propelled grenades .	organization, person, geographical social political, vehicle, location, weapon, facility	{"entities": [{"name": "we", "type": "person"}, {"name": "these prisoners", "type": "person"}, {"name": "we", "type": "person"}, {"name": "this bunker", "type": "facility"}, {"name": "a prison", "type": "facility"}, {"name": "a room fulls of weapons from bullets to hand grenade , land mines , rocket - propelled grenades", "type": "facility"}, {"name": "weapons from bullets to hand grenade , land mines , rocket - propelled grenades", "type": "weapon"}, {"name": "bullets", "type": "weapon"}, {"name": "hand grenade", "type": "weapon"}, {"name": "land mines", "type": "weapon"}, {"name": "rocket - propelled grenades", "type": "weapon"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	TweetNER7_sample_15000	Check out this listing I just added to my # Poshmark closet : New Men ’s size 10 sneakers in black and white . {{URL}} # shopmycloset {@Poshmark@}	group, creative work, person, event, product, location, corporation	{"entities": [{"name": "Poshmark", "type": "corporation"}, {"name": "Poshmark", "type": "product"}]}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	SciERC_sample_10000	We have recently reported on two new word-sense disambiguation systems , one trained on bilingual material -LRB- the Canadian Hansards -RRB- and the other trained on monolingual material -LRB- Roget 's Thesaurus and Grolier 's Encyclopedia -RRB- .	conjunction, feature of, hyponym of, used for, part of, compare, evaluate for	{"relations": [{"head": "one", "relation": "hyponym of", "tail": "word-sense disambiguation systems"}, {"head": "one", "relation": "conjunction", "tail": "other"}, {"head": "bilingual material", "relation": "evaluate for", "tail": "one"}, {"head": "other", "relation": "hyponym of", "tail": "word-sense disambiguation systems"}, {"head": "monolingual material", "relation": "used for", "tail": "other"}, {"head": "Roget 's Thesaurus", "relation": "hyponym of", "tail": "monolingual material"}, {"head": "Roget 's Thesaurus", "relation": "conjunction", "tail": "Grolier 's Encyclopedia"}, {"head": "Grolier 's Encyclopedia", "relation": "hyponym of", "tail": "monolingual material"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	ACE 2005_sample_15000	also 24 / 7 there are individuals on watch .	organization, person, geographical social political, vehicle, location, weapon, facility	{"entities": [{"name": "individuals on watch", "type": "person"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	bc5cdr	Upon additional retrospective analysis , it was noted that bumetanide is a loop diuretic that may cause significant hypocalcemia .	Disease, Chemical	{"entities": [{"name": "bumetanide", "type": "Chemical"}, {"name": "loop diuretic", "type": "Chemical"}, {"name": "hypocalcemia", "type": "Disease"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	GENIA_NER	These increases occur in the absence of protein synthesis but are dependent on inactivation of the v-abl protein tyrosine kinase .	cell line, protein, RNA, DNA, cell type	{"entities": [{"name": "v-abl protein tyrosine kinase", "type": "protein"}, {"name": "v-abl protein", "type": "protein"}]}
Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	ET	ACE 2004	they say the threat of arrest will frighten more women away from pregnancy care , further endangering their babies .	geographical social political, organization, person, location, facility, vehicle, weapon	{"entities": [{"name": "they", "type": "organization"}, {"name": "more women", "type": "person"}, {"name": "their", "type": "person"}, {"name": "their babies", "type": "person"}]}
Extract all entity pairs from the given text and return them in JSON format with the key "entity_pairs". The output should be a JSON string containing a list of objects, each with "head" and "tail".	EP	SciERC_sample_10000	Along the way , we present the first comprehensive comparison of unsupervised methods for part-of-speech tagging , noting that published results to date have not been comparable across corpora or lexicons .	conjunction, feature of, hyponym of, used for, part of, compare, evaluate for	{"entity_pairs": [{"head": "unsupervised methods", "tail": "part-of-speech tagging"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	mit-restaurant	im hungry there anyplace a guy could get a steak at this time of night	Rating, Location, Amenity, Cuisine, Hours, Price, Dish, Restaurant Name	{"entities": [{"name": "steak", "type": "Dish"}, {"name": "this time of night", "type": "Hours"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	PolyglotNER	in Human Ecology from the College of the Atlantic .	location, person, organization	{"entities": [{"name": "College of the Atlantic", "type": "organization"}]}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	New-York-Times-RE_sample_30000	A graduate of Goucher College in Baltimore , Maryland , and senior vice president RBC Dain Raucher , a stockbroker for many years .	ethnicity, place lived, geographic distribution, company industry, country of administrative divisions, administrative division of country, location contains, person of company, profession, ethnicity of people, company shareholder among major shareholders, sports team of location, religion, neighborhood of, company major shareholders, place of death, nationality, children, company founders, company founded place, country of capital, company advisors, sports team location of teams, place of birth	{"relations": [{"head": "Maryland", "relation": "location contains", "tail": "Baltimore"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	TweetNER7_sample_15000	Check out what I just added to my closet on Poshmark : Rare GIII Green Bay Varsity Jacket Vendor Sample . {{URL}} via {@Poshmark@} # shopmycloset	group, creative work, person, event, product, location, corporation	{"entities": [{"name": "Poshmark", "type": "creative work"}, {"name": "Rare GIII Green Bay Varsity Jacket Vendor Sample", "type": "product"}, {"name": "Poshmark", "type": "product"}]}
Extract all entity pairs from the given text and return them in JSON format with the key "entity_pairs". The output should be a JSON string containing a list of objects, each with "head" and "tail".	EP	New-York-Times-RE	IT may be August before the outbreak of Legionnaires ' disease linked to the Sound Shore Medical Center in New Rochelle runs its course and no new cases are diagnosed , the Westchester County health commissioner , Joshua Lipsman , said last week . ''	ethnicity, place lived, geographic distribution, company industry, country of administrative divisions, administrative division of country, location contains, person of company, profession, ethnicity of people, company shareholder among major shareholders, sports team of location, religion, neighborhood of, company major shareholders, place of death, nationality, children, company founders, company founded place, country of capital, company advisors, sports team location of teams, place of birth	{"entity_pairs": [{"head": "Westchester County", "tail": "New Rochelle"}]}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	New-York-Times-RE_sample_30000	Zhao Ziyang was the premier of China who was ousted from the Communist Party in 1989 for supporting the Tiananmen Square students ; he spent the last 15 years under house arrest .	ethnicity, place lived, geographic distribution, company industry, country of administrative divisions, administrative division of country, location contains, person of company, profession, ethnicity of people, company shareholder among major shareholders, sports team of location, religion, neighborhood of, company major shareholders, place of death, nationality, children, company founders, company founded place, country of capital, company advisors, sports team location of teams, place of birth	{"relations": [{"head": "Zhao Ziyang", "relation": "nationality", "tail": "China"}]}
Extract all events from the given text and return them in JSON format with the key "events". The output should be a JSON string containing a list of objects, each with "event_type", "trigger", and "arguments" (a list of objects with "name" and "role").	EE	GENIA	All four complexes contain CREB and are bound to the cAMP response element ( CRE ) core sequence ( TGACGTCA ), as indicated by antibody and oligonucleotide competition experiments .	Event type: ( RNA, cell type, protein, cell line, DNA ) . Arguments type: ( None )	{"events": [{"event_type": "protein", "trigger": "CREB", "arguments": []}, {"event_type": "DNA", "trigger": "CRE", "arguments": []}, {"event_type": "DNA", "trigger": "cAMP response element", "arguments": []}, {"event_type": "DNA", "trigger": "cAMP response element ( CRE ) core sequence", "arguments": []}]}
Extract all events from the given text and return them in JSON format with the key "events". The output should be a JSON string containing a list of objects, each with "event_type", "trigger", and "arguments" (a list of objects with "name" and "role").	EE	GENIA	In uterine pregnancy , the ratio of BCL-2 to CD3 was 0.44 and 0.39 for CD56.	Event type: ( RNA, cell type, protein, cell line, DNA ) . Arguments type: ( None )	{"events": [{"event_type": "protein", "trigger": "BCL-2", "arguments": []}]}
Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	ET	bc5cdr	The amount of daily urinary protein decreased from 15 . 6 to 2 . 8 g .	Disease, Chemical	{"entities": []}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	ACE 2005_sample_15000	Bush has been torturing Americans for two years .	organization, person, geographical social political, vehicle, location, weapon, facility	{"entities": [{"name": "Americans", "type": "geographical social political"}, {"name": "Bush", "type": "person"}]}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	conll04_sample_5000	The launch contract was signed early this month between the INPE , Finep , and China 's Great Wall firm .	Organization based in, Located in, Live in, Work for, Kill	{"relations": [{"head": "Great Wall firm", "relation": "Organization based in", "tail": "China"}]}
Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.	ES	bc2gm	Genetic interactions between BCK2 and other pathway components suggested that BCK2 functions on a common pathway branch with PPZ1 and PPZ2 .	GENE	{"entities": ["BCK2", "BCK2", "PPZ1", "PPZ2"]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	FindVehicle	All of a sudden , a brand-new BLACK BMW 3.0L appears in the BOTTOM of the screen at a speed of 40 kilometers per hour	vehicle type, position of vehicle, color of vehicle, orientation of vehicle, vehicle velocity, vehicle range, brand of vehicle, vehicle model, SUV, hatchback, sports car, sedan, bus, truck, vintage car, coupe, roadster, estate car, motorcycle, MPV, van	{"entities": [{"name": "BLACK", "type": "color of vehicle"}, {"name": "BMW", "type": "brand of vehicle"}, {"name": "3.0L", "type": "vehicle model"}, {"name": "BOTTOM", "type": "position of vehicle"}, {"name": "40 kilometers per hour", "type": "vehicle velocity"}]}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	GIDS	Kimba Wood received a ((NAM: B.A.)) from Connecticut College in 1965. She received a M.Sc. from the London School Bachelor of Arts Economics in 1966. On a lark while in London, she spent five days training as a Playboy bunny.	place of death, place of birth, education degree, education institution	{"relations": [{"head": "Kimba Wood", "relation": "education degree", "tail": "Bachelor of Arts"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	mit-movie	in which film did ashton kutcher stars opposite amy smart	genre, year, plot, average ratings, actor, title, song, character, rating, review, director, trailer	{"entities": [{"name": "ashton kutcher", "type": "actor"}, {"name": "amy smart", "type": "actor"}]}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	NYT11_sample_30000	Mr. Gonzales attended Rice University and Harvard Law School before Mr. Bush , then governor of Texas , picked him in 1995 to serve as his general counsel in Austin and in 2001 brought him to Washington as his White House counsel .	nationality, country capital, place of death, children, location contains, place of birth, place lived, administrative division of country, country of administrative divisions, company, neighborhood of, company founders	{"relations": [{"head": "Texas", "relation": "location contains", "tail": "Austin"}]}
Extract all arguments of the event from the given text and return them in JSON format with the key "arguments". The output should be a JSON string containing a list of objects, each with "name" and "role", based on the provided event type.	EEA	CASIE	A series of phishing campaigns is targeting airline consumers with messages crafted to trick victims into handing over personal or business credentials .	victim, attacker, attack pattern, purpose, damage amount, tool, time, place, trusted entity	{"arguments": [{"name": "airline consumers", "role": "victim"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	ACE 2004_sample_15000	Pocketbook Concerns	geographical social political, organization, person, location, facility, vehicle, weapon	{"entities": []}
Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.	ES	ACE 2004	Bagri , a mill worker from Kamloops , British Columbia , was described Thursday in The Province in Vancouver as a key lieutenant of Talwinder Singh Parmar , a Sikh militant leader shot to death by the Indian police in 1992 .	geographical social political, organization, person, location, facility, vehicle, weapon	{"entities": ["Kamloops , British Columbia", "British Columbia", "Vancouver", "Indian", "mill", "The Province in Vancouver", "the Indian police", "Bagri", "a mill worker from Kamloops , British Columbia", "a key lieutenant of Talwinder Singh Parmar , a Sikh militant leader shot to death by the Indian police in 1992", "Talwinder Singh Parmar", "a Sikh militant leader shot to death by the Indian police in 1992", "Sikh"]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	AnatEM	However , when compared with clinicopathological features , the expression of HSP27 correlated inversely with survival period .	Anatomy	{"entities": []}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	mit-restaurant	whats the best french restaurant in this town	Rating, Location, Amenity, Cuisine, Hours, Price, Dish, Restaurant Name	{"entities": [{"name": "best", "type": "Rating"}, {"name": "french", "type": "Cuisine"}, {"name": "this town", "type": "Location"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	ncbi	Chromosomal translocations in human lipomas frequently create fusion transcripts encoding high mobility group ( HMG ) I - C DNA - binding domains and C - terminal sequences from different presumed transcription factors , suggesting a potential role for HMG I - C in the development of lipomas .	Disease	{"entities": [{"name": "lipomas", "type": "Disease"}, {"name": "lipomas", "type": "Disease"}]}
Extract all entity pairs from the given text and return them in JSON format with the key "entity_pairs". The output should be a JSON string containing a list of objects, each with "head" and "tail".	EP	semval-RE	brushing the air with both hands and coughing from the dust , it settled on both vehicles .	component whole, NA, instrument agency, member collection, cause effect, entity destination, content container, message topic, product producer, entity origin	{"entity_pairs": [{"head": "coughing", "tail": "dust"}]}
Extract all events from the given text and return them in JSON format with the key "events". The output should be a JSON string containing a list of objects, each with "event_type", "trigger", and "arguments" (a list of objects with "name" and "role").	EE	GENIA	A-myb is strongly expressed in Burkitt's lymphomas ( BL ) and slg+ B-acute lymphoblastic leukaemias ( B-ALL ) and not in all other leukaemias /lymphomas tested, with the exception of a subset of CLL (about 25% of cases).	Event type: ( RNA, cell type, protein, cell line, DNA ) . Arguments type: ( None )	{"events": [{"event_type": "protein", "trigger": "A-myb", "arguments": []}]}
Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	ET	ACE 2004	` ` Courts ought not to enter this political thicket , ' ' Justice Felix Frankfurter wrote .	geographical social political, organization, person, location, facility, vehicle, weapon	{"entities": [{"name": "Courts", "type": "organization"}, {"name": "Justice", "type": "person"}, {"name": "Justice Felix Frankfurter", "type": "person"}]}
Extract all event types and their triggers from the given text and return them in JSON format with the key "events". The output should be a JSON string containing a list of objects, each with "event_type" and "trigger".	EET	CASIE	While there are no workarounds to fix the vulnerability , Cisco is urging users to apply an update that fixes the bug , Cisco NetFlow Generation Appliance Software release 1.1 ( 1a ) .	phishing, data breach, ransom, discover vulnerability, patch vulnerability	{"events": [{"event_type": "patch vulnerability", "trigger": "fix"}]}
Extract all arguments of the event from the given text and return them in JSON format with the key "arguments". The output should be a JSON string containing a list of objects, each with "name" and "role", based on the provided event type.	EEA	PHEE	The results of the ultrasound examination combined with clinical anamnesis allowed diagnosis of gastric mucosa foveolar hyperplasia due to prolonged PGE1 therapy.	Treatment.Freq, Subject.Population, Combination.Drug, Subject.Gender, Treatment.Duration, Subject, Effect, Treatment, Treatment.Disorder, Subject.Disorder, Treatment.Route, Subject.Race, Treatment.Time_elapsed, Treatment.Dosage, Subject.Age, Treatment.Drug	{"arguments": [{"name": "gastric mucosa foveolar hyperplasia", "role": "Effect"}, {"name": "prolonged PGE1 therapy", "role": "Treatment"}, {"name": "PGE1", "role": "Treatment.Drug"}, {"name": "prolonged", "role": "Treatment.Duration"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	PolyglotNER	Yuen Long Estate ( ) was a public housing estate in Yuen Long Town , Yuen Long , New Territories , Hong Kong , located at the east of MTR Long Ping Station .	location, person, organization	{"entities": [{"name": "Yuen Long", "type": "location"}, {"name": "Yuen Long Town", "type": "location"}, {"name": "Yuen Long", "type": "location"}, {"name": "New Territories", "type": "location"}, {"name": "Hong Kong", "type": "location"}, {"name": "Long Ping Station", "type": "location"}]}
Extract all event types and their triggers from the given text and return them in JSON format with the key "events". The output should be a JSON string containing a list of objects, each with "event_type" and "trigger".	EET	PHEE	Although the literature on the use of risperidone in elderly patients with dementia consists largely of uncontrolled trials, case reports, and chart reviews, it appears that this agent is effective for managing agitation in this population and does so with a low frequency of extrapyramidal symptoms (EPS).	adverse event, potential therapeutic event	{"events": [{"event_type": "potential therapeutic event", "trigger": "is "}]}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	semval-RE	brightly colored honey dipper beads and chunky disk rings make up this all wood foot toy .	component whole, NA, instrument agency, member collection, cause effect, entity destination, content container, message topic, product producer, entity origin	{"relations": [{"head": "rings", "relation": "component whole", "tail": "toy"}]}
Extract all entity pairs from the given text and return them in JSON format with the key "entity_pairs". The output should be a JSON string containing a list of objects, each with "head" and "tail".	EP	GIDS	Seth Lipsky (born in 1946 in Brooklyn ) is the founder and editor of the New York Sun, an independent conservative daily in New York City that ceased its print edition on September 30, 2008. Lipsky counts Ronald Reagan, Margaret Thatcher, Winston Churchill, Ariel Sharon, and Milton Friedman among his intellectual and ideological heroes. He has a long history of working in the newspaper business, including a stint for the Wall Street Journal in Asia and Belgium. He has also written several invited articles and guest opinions for the New York Times.	place of death, place of birth, education degree, education institution	{"entity_pairs": [{"head": "Seth Lipsky", "tail": "Brooklyn"}]}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	New-York-Times-RE_sample_30000	A1 Ex-A.I.G. Chief Investigated Federal prosecutors in Manhattan have opened a criminal investigation into whether Maurice R. Greenberg , the former chairman and chief executive of the American International Group , orchestrated an effort to manipulate the company 's stock price in his final weeks as chief , people briefed on the inquiry said .	ethnicity, place lived, geographic distribution, company industry, country of administrative divisions, administrative division of country, location contains, person of company, profession, ethnicity of people, company shareholder among major shareholders, sports team of location, religion, neighborhood of, company major shareholders, place of death, nationality, children, company founders, company founded place, country of capital, company advisors, sports team location of teams, place of birth	{"relations": [{"head": "Maurice R. Greenberg", "relation": "company shareholder among major shareholders", "tail": "American International Group"}, {"head": "American International Group", "relation": "company major shareholders", "tail": "Maurice R. Greenberg"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	bc2gm	These findings suggest that the MAP kinase activator / MAP kinase system may be the downstream components of ras signal transduction pathways .	GENE	{"entities": [{"name": "MAP kinase activator", "type": "GENE"}, {"name": "MAP kinase", "type": "GENE"}, {"name": "ras", "type": "GENE"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	Broad Tweet Corpus	Despite #MH17 and #MH370 disasters , Malaysia Airlines reports no surge in ticket cancellations http://t.co/DZIE081b5z	location, person, organization	{"entities": [{"name": "Malaysia Airlines", "type": "organization"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	ACE 2004_sample_15000	Some time ago the basketball - size jellyfish established themselves in the Caribbean .	geographical social political, organization, person, location, facility, vehicle, weapon	{"entities": [{"name": "the Caribbean", "type": "location"}]}
Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	ET	FindVehicle	There are so many cars on the highway that I cannot recognize but I think there is a white Buick Riviera driving RIGHT with 116 km/h and a multi-color Land Rover Defender one three zero	vehicle type, position of vehicle, color of vehicle, orientation of vehicle, vehicle velocity, vehicle range, brand of vehicle, vehicle model, SUV, hatchback, sports car, sedan, bus, truck, vintage car, coupe, roadster, estate car, motorcycle, MPV, van	{"entities": [{"name": "Buick Riviera", "type": "sedan"}, {"name": "Land Rover Defender one three zero", "type": "SUV"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	bc4chemd	Conversely , the antioxidant parameters , including the content of reduced glutathione ( GSH ) and the activities of superoxide dismutase and peroxidase , were significantly induced by both PAHs and metals .	Chemical	{"entities": [{"name": "glutathione", "type": "Chemical"}, {"name": "GSH", "type": "Chemical"}, {"name": "superoxide", "type": "Chemical"}, {"name": "PAHs", "type": "Chemical"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	ACE 2004_sample_15000	egyptian president hosni mubarak opened the emergency arab league summit with a statement blaming israel for adopting a belligerent attitude which threatens the essence of peace .	geographical social political, organization, person, location, facility, vehicle, weapon	{"entities": [{"name": "egyptian", "type": "geographical social political"}, {"name": "israel", "type": "geographical social political"}, {"name": "arab league", "type": "organization"}, {"name": "egyptian president", "type": "person"}, {"name": "egyptian president hosni mubarak", "type": "person"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	ncbi	Loss of APC function was recently shown to result in enhanced beta - catenin - / Tcf - mediated transcription in colon epithelial cells .	Disease	{"entities": [{"name": "APC", "type": "Disease"}]}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	SciERC_sample_10000	The parser computes a compact parse forest representation of the complete set of possible analyses for large treebank grammars and long input sentences .	conjunction, feature of, hyponym of, used for, part of, compare, evaluate for	{"relations": [{"head": "parser", "relation": "used for", "tail": "parse forest representation"}, {"head": "parse forest representation", "relation": "used for", "tail": "large treebank grammars"}]}
Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	ET	bc4chemd	This study aimed to evaluate the quantitative importance of different cytochrome P450 ( P450 ) enzymes in imatinib pharmacokinetics .	Chemical	{"entities": [{"name": "imatinib", "type": "Chemical"}]}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	semval-RE	self-organization become apparent in evolution as self-assemblage of the gene networks and cascades .	component whole, NA, instrument agency, member collection, cause effect, entity destination, content container, message topic, product producer, entity origin	{"relations": []}
Extract all events from the given text and return them in JSON format with the key "events". The output should be a JSON string containing a list of objects, each with "event_type", "trigger", and "arguments" (a list of objects with "name" and "role").	EE	ACE05	now let ' s go back to wolf blitzer in kuwait city for more special coverage of the war in iraq .	Event type: ( declare bankruptcy, transfer ownership, transfer money, marry, transport, die, phone write, arrest jail, convict, sentence, sue, end organization, start organization, end position, start position, meet, elect, attack, injure, born, fine, release parole, charge indict, extradite, trial hearing, demonstrate, divorce, nominate, appeal, pardon, execute, acquit, merge organization ) . Arguments type: ( beneficiary, prosecutor, plaintiff, seller, victim, buyer, agent, destination, artifact, organization, recipient, person, place, origin, target, giver, adjudicator, attacker, vehicle, defendant, entity, instrument )	{"events": [{"event_type": "attack", "trigger": "war", "arguments": [{"name": "iraq", "role": "place"}]}]}
Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	ET	ACE 2004	The president of the People ' s Bank of China , Xianglong Dai pointed out here yesterday that China will continue to expand the opened - up areas , strengthen co - operation with foreign financial institutions , and promote financial and economic trade interaction between China and other countries .	geographical social political, organization, person, location, facility, vehicle, weapon	{"entities": [{"name": "here", "type": "geographical social political"}, {"name": "China", "type": "geographical social political"}, {"name": "China", "type": "geographical social political"}, {"name": "other countries", "type": "geographical social political"}, {"name": "the People ' s Bank of China", "type": "organization"}, {"name": "foreign financial institutions", "type": "organization"}, {"name": "The president of the People ' s Bank of China", "type": "person"}, {"name": "Xianglong Dai", "type": "person"}, {"name": "the opened - up areas", "type": "location"}]}
Extract all entity pairs from the given text and return them in JSON format with the key "entity_pairs". The output should be a JSON string containing a list of objects, each with "head" and "tail".	EP	GIDS	Robert Kowalski died November 9, 2007 in Southern California at the age of 65 from a pulmonary embolism.	place of death, place of birth, education degree, education institution	{"entity_pairs": [{"head": "Robert Kowalski", "tail": "Southern California"}]}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	ADE_corpus_sample_15000	Moreover , these findings suggest that the incidence of BOOP following rituximab therapy may be higher than has been previously appreciated .	adverse effect	{"relations": [{"head": "BOOP", "relation": "adverse effect", "tail": "rituximab"}]}
Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	ET	Broad Tweet Corpus	Independent post-mortem shows #MichaelBrown shot " at least 6 times " in #Ferguson, Missouri , family lawyer confirms http://t.co/yaQkrSiqgV	location, person, organization	{"entities": [{"name": "Independent", "type": "organization"}, {"name": "#MichaelBrown", "type": "person"}, {"name": "#Ferguson, Missouri", "type": "location"}]}
Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.	ES	FabNER	As a case study , the resulting solidification microstructure selection maps are created to predict the stable growth modality and the columnar to equiaxed transition ( CET ) of an Al-10Si-0.5Mg alloy processed via Selective Laser Melting .	manufacturing standard, machanical property, manufacturing process, material, engineering feature, process parameter, machine or equipment, application, process characterization, enabling technology, biomedical, concept or principle	{"entities": ["As", "case study", "solidification microstructure", "transition", "Al-10Si-0.5Mg alloy", "Selective Laser Melting"]}
Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.	ES	mit-movie	show me all movies out right now that are part of a trilogy	genre, year, plot, average ratings, actor, title, song, character, rating, review, director, trailer	{"entities": ["out right now"]}
Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.	ES	WikiNeural	Because the Vlaams Blok was considered a racist group by many , the other Belgian political parties committed to exclude the party from any coalition government , even if that forced the formation of grand coalition governments between ideological rivals .	location, person, organization	{"entities": ["Vlaams Blok"]}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	semval-RE	by now , my friends are familiar with my almost english obsession with toast .	component whole, NA, instrument agency, member collection, cause effect, entity destination, content container, message topic, product producer, entity origin	{"relations": []}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	bc4chemd	To delineate the universe of endogenous circular RNAs , we performed high - throughput sequencing ( RNA - seq ) of libraries prepared from ribosome - depleted RNA with or without digestion with the RNA exonuclease , RNase R .	Chemical	{"entities": []}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	GIDS	Bill Auberlen is an American factory BMW driver, born in Redondo Beach California. He has participated in more than 300 professional races in a BMW, more than any other driver. He won his first race for the marque in 1997 and that year won Drivers title in the IMSA GTS-3 with BMW Team PTG in a BMW M3. Bill has won more than 90 races and has stood on the podium almost 200 times so far in his career.	place of death, place of birth, education degree, education institution	{"relations": [{"head": "Bill Auberlen", "relation": "place of birth", "tail": "Redondo Beach"}]}
Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	ET	ncbi	None of the mutations and only one of the rare variants was identified in a reference population of 73 unrelated subjects .	Disease	{"entities": []}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	WikiANN en	K ( Eighth Avenue Local )	location, person, organization	{"entities": [{"name": "K ( Eighth Avenue Local )", "type": "organization"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	bc2gm	Studies of lipogenesis by labelled precursors in the pregnant rat .	GENE	{"entities": []}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	New-York-Times-RE_sample_30000	Instead , the '' Mouth of the South , '' as the outspoken Mr. Turner is known , was in the company 's signature skyscraper in Rockefeller Center to open a New York outpost of his Ted 's Montana Grill restaurant chain .	ethnicity, place lived, geographic distribution, company industry, country of administrative divisions, administrative division of country, location contains, person of company, profession, ethnicity of people, company shareholder among major shareholders, sports team of location, religion, neighborhood of, company major shareholders, place of death, nationality, children, company founders, company founded place, country of capital, company advisors, sports team location of teams, place of birth	{"relations": [{"head": "New York", "relation": "location contains", "tail": "Rockefeller Center"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	AnatEM	Statistical analysis is performed and P < 0 . 05 considered significant .	Anatomy	{"entities": []}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	bc2gm	However , we did detect lot - to - lot variation and differences in performance between narrow bandpass and wide bandpass spectrophotometers .	GENE	{"entities": []}
Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.	ES	mit-movie	show me horror movies from the 1990s	genre, year, plot, average ratings, actor, title, song, character, rating, review, director, trailer	{"entities": ["horror", "1990s"]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	WikiANN en	Alistair and Stewart Lord ( 1940– )	location, person, organization	{"entities": [{"name": "Alistair", "type": "person"}, {"name": "Stewart Lord", "type": "person"}]}
Extract all arguments of the event from the given text and return them in JSON format with the key "arguments". The output should be a JSON string containing a list of objects, each with "name" and "role", based on the provided event type.	EEA	PHEE	Nitrofurantoin-induced pulmonary toxicity during pregnancy: a report of a case and review of the literature.	Treatment.Freq, Subject.Population, Combination.Drug, Subject.Gender, Treatment.Duration, Subject, Effect, Treatment, Treatment.Disorder, Subject.Disorder, Treatment.Route, Subject.Race, Treatment.Time_elapsed, Treatment.Dosage, Subject.Age, Treatment.Drug	{"arguments": [{"name": "pulmonary toxicity", "role": "Effect"}, {"name": "Nitrofurantoin", "role": "Treatment"}, {"name": "Nitrofurantoin", "role": "Treatment.Drug"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	HarveyNER	-DOCSTART- @croosen48168 @rei_m3 m @Dbanks5486 Christopher has your family received help as of yet ?	exact location, area, road, river	{"entities": []}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	GIDS	and professionals considering law school Will A have the chance to meet with admissions representatives from across the country at the 2017 Washington D.C. Law School Fair at George Washington University Law School Washington UniversityTM. This annual event introduces attendees to prospective law schools and will feature a Mock Law School Admissions Panel. Admission is free and the fair is open to anyone interested in law school.	place of death, place of birth, education degree, education institution	{"relations": [{"head": "Will A", "relation": "education institution", "tail": "George Washington University Law School"}]}
Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.	ES	FindVehicle	Please help me find the BLACK BMW F eight zero zero S on the Lower part of the image and the purplish-red Suzuki Intruder 400 on the bottom left	vehicle type, position of vehicle, color of vehicle, orientation of vehicle, vehicle velocity, vehicle range, brand of vehicle, vehicle model, SUV, hatchback, sports car, sedan, bus, truck, vintage car, coupe, roadster, estate car, motorcycle, MPV, van	{"entities": ["BLACK", "BMW", "F eight zero zero S", "Lower part", "purplish-red", "Suzuki", "Intruder 400", "bottom left"]}
Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.	ES	TweetNER7_sample_15000	Brent Harvey 's ( {@Brent Harvey@} ) daily workouts have now surpassed 100,000 views . Thanks so much for all the support ! Join in the fun with the family every weekday at 8am AEST , or check out all the previous episodes . Presented by {@Mazda Australia@} . # HuddleUp	group, creative work, person, event, product, location, corporation	{"entities": ["Brent Harvey", "Brent Harvey", "Mazda Australia"]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	Ontonotes_sample_30000	The speech by Milosevic on state TV signaled he has abandoned efforts to block the opposition from assuming power .	date, organization, person, geographical social political, national religious political, facility, cardinal, location, work of art, law, event, product, ordinal, percent, time, quantity, money, language	{"entities": [{"name": "Milosevic", "type": "person"}]}
Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.	ES	WikiNeural	In 1840 a new neo-Tudor Crom Castle was built , designed by Scottish architect Edward Blore .	location, person, organization	{"entities": ["Crom Castle", "Edward Blore"]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	mit-movie	what movie used the catchphrase go ahead make my day	genre, year, plot, average ratings, actor, title, song, character, rating, review, director, trailer	{"entities": []}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	mit-restaurant	where is the nearest olive garden	Rating, Location, Amenity, Cuisine, Hours, Price, Dish, Restaurant Name	{"entities": [{"name": "nearest", "type": "Location"}, {"name": "olive garden", "type": "Restaurant Name"}]}
Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".	NER	FabNER	Laser spatter is coarser and more spherical than virgin powder .	manufacturing standard, machanical property, manufacturing process, material, engineering feature, process parameter, machine or equipment, application, process characterization, enabling technology, biomedical, concept or principle	{"entities": [{"name": "Laser", "type": "enabling technology"}, {"name": "spherical", "type": "concept or principle"}, {"name": "virgin powder", "type": "material"}]}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	NYT11_sample_30000	Correction : May 27 , 2006 , Saturday An obituary yesterday about James W. Carey , a scholar of communications theory at the Graduate School of Journalism at Columbia University , misstated the length of the more academically rigorous master 's degree program he helped to develop .	nationality, country capital, place of death, children, location contains, place of birth, place lived, administrative division of country, country of administrative divisions, company, neighborhood of, company founders	{"relations": [{"head": "James W. Carey", "relation": "company", "tail": "Columbia University"}]}
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".	RE	conll04_sample_5000	The launch contract was signed early this month between the INPE , Finep , and China 's Great Wall firm .	Organization based in, Located in, Live in, Work for, Kill	{"relations": [{"head": "Great Wall firm", "relation": "Organization based in", "tail": "China"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

bc5cdr

A case of tardive dyskinesia caused by metoclopramide .

Disease, Chemical

{"entities": [{"name": "tardive dyskinesia", "type": "Disease"}, {"name": "metoclopramide", "type": "Chemical"}]}

Extract all events from the given text and return them in JSON format with the key "events". The output should be a JSON string containing a list of objects, each with "event_type", "trigger", and "arguments" (a list of objects with "name" and "role").

EE

GENIA

No correlation between chromosome 1 alterations and nuclear grade , age, size, lymph-node involvement , hormonal receptor presence , proliferation activity or p53 protein expression was detected.

Event type: ( RNA, cell type, protein, cell line, DNA ) . Arguments type: ( None )

{"events": [{"event_type": "protein", "trigger": "p53", "arguments": []}, {"event_type": "DNA", "trigger": "chromosome 1", "arguments": []}]}

Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.

ES

mit-movie

what are some excellent rated sci fi movies directed by james whale in the last decade

genre, year, plot, average ratings, actor, title, song, character, rating, review, director, trailer

{"entities": ["excellent rated", "sci fi", "james whale", "last decade"]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

PolyglotNER

The hindwings are translucent pale brown , slightly darkening towards the apex .

location, person, organization

{"entities": []}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

kbp37

Saad 32 one of Denmark 's best-known dancehall performers died in the accident early Sunday said her mother Kristine Saad .

cities of residence, top members employees, members, alternate names, origin, state or provinces of residence, title of person, spouse, city of headquarters, NA, founded by, state or province of headquarters, employee of, countries of residence, country of birth, founded, subsidiaries, country of headquarters

{"relations": [{"head": "Saad", "relation": "country of birth", "tail": "Denmark"}]}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

kbp37

Sulla 's Dictatorship constituted one of the most significant developments in the History of the Constitution of the Roman Republic and it served as a warning for the coming civil war which ultimately would destroy the Roman Republic and create the Roman Empire .

cities of residence, top members employees, members, alternate names, origin, state or provinces of residence, title of person, spouse, city of headquarters, NA, founded by, state or province of headquarters, employee of, countries of residence, country of birth, founded, subsidiaries, country of headquarters

{"relations": [{"head": "Sulla", "relation": "employee of", "tail": "Roman Republic"}]}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

New-York-Times-RE_sample_30000

Yunnan is a fascinating province in the southwest of China bordered by Tibet , Myanmar , Laos and Vietnam .

ethnicity, place lived, geographic distribution, company industry, country of administrative divisions, administrative division of country, location contains, person of company, profession, ethnicity of people, company shareholder among major shareholders, sports team of location, religion, neighborhood of, company major shareholders, place of death, nationality, children, company founders, company founded place, country of capital, company advisors, sports team location of teams, place of birth

{"relations": [{"head": "Yunnan", "relation": "administrative division of country", "tail": "China"}, {"head": "China", "relation": "country of administrative divisions", "tail": "Yunnan"}, {"head": "China", "relation": "location contains", "tail": "Yunnan"}]}

Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

ET

PolyglotNER

John MacLoughlin ( 8 September 1871 – 11 September 1943 ) was an Irish politician .

location, person, organization

{"entities": []}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

PolyglotNER

Kallio was less than 5 years old when his parents emigrated to the United States .

location, person, organization

{"entities": [{"name": "Kallio", "type": "person"}]}

Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.

ES

FabNER

Parameter studies provide guidance for minimizing the likelihood of build failure .

manufacturing standard, machanical property, manufacturing process, material, engineering feature, process parameter, machine or equipment, application, process characterization, enabling technology, biomedical, concept or principle

{"entities": ["Parameter", "build failure"]}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

NYT11_sample_30000

At that time , he was the co-founder , along with Herb Alpert , of A&M Records ; he remains an executive in the record business , but yesterday he celebrated his 70th birthday as a Derby-winning owner .

nationality, country capital, place of death, children, location contains, place of birth, place lived, administrative division of country, country of administrative divisions, company, neighborhood of, company founders

{"relations": [{"head": "A&M Records", "relation": "company founders", "tail": "Herb Alpert"}]}

Extract all events from the given text and return them in JSON format with the key "events". The output should be a JSON string containing a list of objects, each with "event_type", "trigger", and "arguments" (a list of objects with "name" and "role").

EE

GENIA

Thus, such unique activation of the inhibitory p50 /p50 homodimer by acute ethanol treatment may result in inhibition rather than activation of NF-kappa B -regulated inflammatory cytokine genes .

Event type: ( RNA, cell type, protein, cell line, DNA ) . Arguments type: ( None )

{"events": [{"event_type": "protein", "trigger": "/p50", "arguments": []}, {"event_type": "DNA", "trigger": "inflammatory cytokine genes", "arguments": []}, {"event_type": "protein", "trigger": "NF-kappa B", "arguments": []}, {"event_type": "protein", "trigger": "p50", "arguments": []}, {"event_type": "DNA", "trigger": "NF-kappa B -regulated inflammatory cytokine genes", "arguments": []}, {"event_type": "protein", "trigger": "inhibitory p50 /p50 homodimer", "arguments": []}]}

Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

ET

GENIA_NER

Involvement of phospholipase D in the activation of transcription factor AP-1 in human T lymphoid Jurkat cells .

cell line, protein, RNA, DNA, cell type

{"entities": [{"name": "transcription factor AP-1", "type": "protein"}, {"name": "human T lymphoid Jurkat cells", "type": "cell line"}, {"name": "Jurkat cells", "type": "cell line"}, {"name": "phospholipase D", "type": "protein"}, {"name": "AP-1", "type": "protein"}]}

Extract all entity pairs and their relationships from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

EPR

ADE_corpus_sample_15000

Does the use of insulin in a patient with liver dysfunction increase water retention in the body , i.e. cause insulin oedema ?

adverse effect

{"relations": [{"head": "oedema", "relation": "adverse effect", "tail": "insulin"}]}

Extract all entity pairs from the given text and return them in JSON format with the key "entity_pairs". The output should be a JSON string containing a list of objects, each with "head" and "tail".

EP

New-York-Times-RE

But in a blow to Mr. Ferrer , several of his fellow Democrats , including the Brooklyn borough president , Marty Markowitz , crossed party lines to endorse Mr. Bloomberg .

ethnicity, place lived, geographic distribution, company industry, country of administrative divisions, administrative division of country, location contains, person of company, profession, ethnicity of people, company shareholder among major shareholders, sports team of location, religion, neighborhood of, company major shareholders, place of death, nationality, children, company founders, company founded place, country of capital, company advisors, sports team location of teams, place of birth

{"entity_pairs": [{"head": "Marty Markowitz", "tail": "Brooklyn"}, {"head": "Marty Markowitz", "tail": "Brooklyn"}]}

Extract all entity pairs from the given text and return them in JSON format with the key "entity_pairs". The output should be a JSON string containing a list of objects, each with "head" and "tail".

EP

semval-RE

details about how catholic church dioceses dealt with allegations of child abuse are to emerge within the coming weeks .

component whole, NA, instrument agency, member collection, cause effect, entity destination, content container, message topic, product producer, entity origin

{"entity_pairs": []}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

ACE 2005_sample_15000

bernie evers is living his life and unindicted .

organization, person, geographical social political, vehicle, location, weapon, facility

{"entities": [{"name": "bernie evers", "type": "person"}, {"name": "his", "type": "person"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

MultiNERD

He became the assistant hitting coach of the Philadelphia Phillies on December 18 , 2013 , and later became their third base coach .

media, plant, vehicle, astronomical object, time, disease, animal, location, person, organization, mythical figure, food, biology, geographical phenomenon, instrument, event

{"entities": [{"name": "Philadelphia Phillies", "type": "organization"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

FabNER

Magnetic characterization indicated that the degree-of-alignment of the magnet powders increased both with alignment field strength ( controlled by the electric current applied to the magnetizing system ) and the printing temperature .

manufacturing standard, machanical property, manufacturing process, material, engineering feature, process parameter, machine or equipment, application, process characterization, enabling technology, biomedical, concept or principle

{"entities": [{"name": "Magnetic characterization", "type": "process characterization"}, {"name": "magnet", "type": "application"}, {"name": "strength", "type": "machanical property"}, {"name": "temperature", "type": "process parameter"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

ACE 2005_sample_15000

so we went into this bunker hoping to find a prison and run into these prisoners and instead we ran into a room fulls of weapons from bullets to hand grenade , land mines , rocket - propelled grenades .

organization, person, geographical social political, vehicle, location, weapon, facility

{"entities": [{"name": "we", "type": "person"}, {"name": "these prisoners", "type": "person"}, {"name": "we", "type": "person"}, {"name": "this bunker", "type": "facility"}, {"name": "a prison", "type": "facility"}, {"name": "a room fulls of weapons from bullets to hand grenade , land mines , rocket - propelled grenades", "type": "facility"}, {"name": "weapons from bullets to hand grenade , land mines , rocket - propelled grenades", "type": "weapon"}, {"name": "bullets", "type": "weapon"}, {"name": "hand grenade", "type": "weapon"}, {"name": "land mines", "type": "weapon"}, {"name": "rocket - propelled grenades", "type": "weapon"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

TweetNER7_sample_15000

Check out this listing I just added to my # Poshmark closet : New Men ’s size 10 sneakers in black and white . {{URL}} # shopmycloset {@Poshmark@}

group, creative work, person, event, product, location, corporation

{"entities": [{"name": "Poshmark", "type": "corporation"}, {"name": "Poshmark", "type": "product"}]}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

SciERC_sample_10000

We have recently reported on two new word-sense disambiguation systems , one trained on bilingual material -LRB- the Canadian Hansards -RRB- and the other trained on monolingual material -LRB- Roget 's Thesaurus and Grolier 's Encyclopedia -RRB- .

conjunction, feature of, hyponym of, used for, part of, compare, evaluate for

{"relations": [{"head": "one", "relation": "hyponym of", "tail": "word-sense disambiguation systems"}, {"head": "one", "relation": "conjunction", "tail": "other"}, {"head": "bilingual material", "relation": "evaluate for", "tail": "one"}, {"head": "other", "relation": "hyponym of", "tail": "word-sense disambiguation systems"}, {"head": "monolingual material", "relation": "used for", "tail": "other"}, {"head": "Roget 's Thesaurus", "relation": "hyponym of", "tail": "monolingual material"}, {"head": "Roget 's Thesaurus", "relation": "conjunction", "tail": "Grolier 's Encyclopedia"}, {"head": "Grolier 's Encyclopedia", "relation": "hyponym of", "tail": "monolingual material"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

ACE 2005_sample_15000

also 24 / 7 there are individuals on watch .

organization, person, geographical social political, vehicle, location, weapon, facility

{"entities": [{"name": "individuals on watch", "type": "person"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

bc5cdr

Upon additional retrospective analysis , it was noted that bumetanide is a loop diuretic that may cause significant hypocalcemia .

Disease, Chemical

{"entities": [{"name": "bumetanide", "type": "Chemical"}, {"name": "loop diuretic", "type": "Chemical"}, {"name": "hypocalcemia", "type": "Disease"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

GENIA_NER

These increases occur in the absence of protein synthesis but are dependent on inactivation of the v-abl protein tyrosine kinase .

cell line, protein, RNA, DNA, cell type

{"entities": [{"name": "v-abl protein tyrosine kinase", "type": "protein"}, {"name": "v-abl protein", "type": "protein"}]}

Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

ET

ACE 2004

they say the threat of arrest will frighten more women away from pregnancy care , further endangering their babies .

geographical social political, organization, person, location, facility, vehicle, weapon

{"entities": [{"name": "they", "type": "organization"}, {"name": "more women", "type": "person"}, {"name": "their", "type": "person"}, {"name": "their babies", "type": "person"}]}

Extract all entity pairs from the given text and return them in JSON format with the key "entity_pairs". The output should be a JSON string containing a list of objects, each with "head" and "tail".

EP

SciERC_sample_10000

Along the way , we present the first comprehensive comparison of unsupervised methods for part-of-speech tagging , noting that published results to date have not been comparable across corpora or lexicons .

conjunction, feature of, hyponym of, used for, part of, compare, evaluate for

{"entity_pairs": [{"head": "unsupervised methods", "tail": "part-of-speech tagging"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

mit-restaurant

im hungry there anyplace a guy could get a steak at this time of night

Rating, Location, Amenity, Cuisine, Hours, Price, Dish, Restaurant Name

{"entities": [{"name": "steak", "type": "Dish"}, {"name": "this time of night", "type": "Hours"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

PolyglotNER

in Human Ecology from the College of the Atlantic .

location, person, organization

{"entities": [{"name": "College of the Atlantic", "type": "organization"}]}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

New-York-Times-RE_sample_30000

A graduate of Goucher College in Baltimore , Maryland , and senior vice president RBC Dain Raucher , a stockbroker for many years .

ethnicity, place lived, geographic distribution, company industry, country of administrative divisions, administrative division of country, location contains, person of company, profession, ethnicity of people, company shareholder among major shareholders, sports team of location, religion, neighborhood of, company major shareholders, place of death, nationality, children, company founders, company founded place, country of capital, company advisors, sports team location of teams, place of birth

{"relations": [{"head": "Maryland", "relation": "location contains", "tail": "Baltimore"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

TweetNER7_sample_15000

Check out what I just added to my closet on Poshmark : Rare GIII Green Bay Varsity Jacket Vendor Sample . {{URL}} via {@Poshmark@} # shopmycloset

group, creative work, person, event, product, location, corporation

{"entities": [{"name": "Poshmark", "type": "creative work"}, {"name": "Rare GIII Green Bay Varsity Jacket Vendor Sample", "type": "product"}, {"name": "Poshmark", "type": "product"}]}

Extract all entity pairs from the given text and return them in JSON format with the key "entity_pairs". The output should be a JSON string containing a list of objects, each with "head" and "tail".

EP

New-York-Times-RE

IT may be August before the outbreak of Legionnaires ' disease linked to the Sound Shore Medical Center in New Rochelle runs its course and no new cases are diagnosed , the Westchester County health commissioner , Joshua Lipsman , said last week . ''

ethnicity, place lived, geographic distribution, company industry, country of administrative divisions, administrative division of country, location contains, person of company, profession, ethnicity of people, company shareholder among major shareholders, sports team of location, religion, neighborhood of, company major shareholders, place of death, nationality, children, company founders, company founded place, country of capital, company advisors, sports team location of teams, place of birth

{"entity_pairs": [{"head": "Westchester County", "tail": "New Rochelle"}]}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

New-York-Times-RE_sample_30000

Zhao Ziyang was the premier of China who was ousted from the Communist Party in 1989 for supporting the Tiananmen Square students ; he spent the last 15 years under house arrest .

ethnicity, place lived, geographic distribution, company industry, country of administrative divisions, administrative division of country, location contains, person of company, profession, ethnicity of people, company shareholder among major shareholders, sports team of location, religion, neighborhood of, company major shareholders, place of death, nationality, children, company founders, company founded place, country of capital, company advisors, sports team location of teams, place of birth

{"relations": [{"head": "Zhao Ziyang", "relation": "nationality", "tail": "China"}]}

Extract all events from the given text and return them in JSON format with the key "events". The output should be a JSON string containing a list of objects, each with "event_type", "trigger", and "arguments" (a list of objects with "name" and "role").

EE

GENIA

All four complexes contain CREB and are bound to the cAMP response element ( CRE ) core sequence ( TGACGTCA ), as indicated by antibody and oligonucleotide competition experiments .

Event type: ( RNA, cell type, protein, cell line, DNA ) . Arguments type: ( None )

{"events": [{"event_type": "protein", "trigger": "CREB", "arguments": []}, {"event_type": "DNA", "trigger": "CRE", "arguments": []}, {"event_type": "DNA", "trigger": "cAMP response element", "arguments": []}, {"event_type": "DNA", "trigger": "cAMP response element ( CRE ) core sequence", "arguments": []}]}

Extract all events from the given text and return them in JSON format with the key "events". The output should be a JSON string containing a list of objects, each with "event_type", "trigger", and "arguments" (a list of objects with "name" and "role").

EE

GENIA

In uterine pregnancy , the ratio of BCL-2 to CD3 was 0.44 and 0.39 for CD56.

Event type: ( RNA, cell type, protein, cell line, DNA ) . Arguments type: ( None )

{"events": [{"event_type": "protein", "trigger": "BCL-2", "arguments": []}]}

Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

ET

bc5cdr

The amount of daily urinary protein decreased from 15 . 6 to 2 . 8 g .

Disease, Chemical

{"entities": []}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

ACE 2005_sample_15000

Bush has been torturing Americans for two years .

organization, person, geographical social political, vehicle, location, weapon, facility

{"entities": [{"name": "Americans", "type": "geographical social political"}, {"name": "Bush", "type": "person"}]}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

conll04_sample_5000

The launch contract was signed early this month between the INPE , Finep , and China 's Great Wall firm .

Organization based in, Located in, Live in, Work for, Kill

{"relations": [{"head": "Great Wall firm", "relation": "Organization based in", "tail": "China"}]}

Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.

ES

bc2gm

Genetic interactions between BCK2 and other pathway components suggested that BCK2 functions on a common pathway branch with PPZ1 and PPZ2 .

GENE

{"entities": ["BCK2", "BCK2", "PPZ1", "PPZ2"]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

FindVehicle

All of a sudden , a brand-new BLACK BMW 3.0L appears in the BOTTOM of the screen at a speed of 40 kilometers per hour

vehicle type, position of vehicle, color of vehicle, orientation of vehicle, vehicle velocity, vehicle range, brand of vehicle, vehicle model, SUV, hatchback, sports car, sedan, bus, truck, vintage car, coupe, roadster, estate car, motorcycle, MPV, van

{"entities": [{"name": "BLACK", "type": "color of vehicle"}, {"name": "BMW", "type": "brand of vehicle"}, {"name": "3.0L", "type": "vehicle model"}, {"name": "BOTTOM", "type": "position of vehicle"}, {"name": "40 kilometers per hour", "type": "vehicle velocity"}]}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

GIDS

Kimba Wood received a ((NAM: B.A.)) from Connecticut College in 1965. She received a M.Sc. from the London School Bachelor of Arts Economics in 1966. On a lark while in London, she spent five days training as a Playboy bunny.

place of death, place of birth, education degree, education institution

{"relations": [{"head": "Kimba Wood", "relation": "education degree", "tail": "Bachelor of Arts"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

mit-movie

in which film did ashton kutcher stars opposite amy smart

genre, year, plot, average ratings, actor, title, song, character, rating, review, director, trailer

{"entities": [{"name": "ashton kutcher", "type": "actor"}, {"name": "amy smart", "type": "actor"}]}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

NYT11_sample_30000

Mr. Gonzales attended Rice University and Harvard Law School before Mr. Bush , then governor of Texas , picked him in 1995 to serve as his general counsel in Austin and in 2001 brought him to Washington as his White House counsel .

nationality, country capital, place of death, children, location contains, place of birth, place lived, administrative division of country, country of administrative divisions, company, neighborhood of, company founders

{"relations": [{"head": "Texas", "relation": "location contains", "tail": "Austin"}]}

Extract all arguments of the event from the given text and return them in JSON format with the key "arguments". The output should be a JSON string containing a list of objects, each with "name" and "role", based on the provided event type.

EEA

CASIE

A series of phishing campaigns is targeting airline consumers with messages crafted to trick victims into handing over personal or business credentials .

victim, attacker, attack pattern, purpose, damage amount, tool, time, place, trusted entity

{"arguments": [{"name": "airline consumers", "role": "victim"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

ACE 2004_sample_15000

Pocketbook Concerns

geographical social political, organization, person, location, facility, vehicle, weapon

{"entities": []}

Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.

ES

ACE 2004

Bagri , a mill worker from Kamloops , British Columbia , was described Thursday in The Province in Vancouver as a key lieutenant of Talwinder Singh Parmar , a Sikh militant leader shot to death by the Indian police in 1992 .

geographical social political, organization, person, location, facility, vehicle, weapon

{"entities": ["Kamloops , British Columbia", "British Columbia", "Vancouver", "Indian", "mill", "The Province in Vancouver", "the Indian police", "Bagri", "a mill worker from Kamloops , British Columbia", "a key lieutenant of Talwinder Singh Parmar , a Sikh militant leader shot to death by the Indian police in 1992", "Talwinder Singh Parmar", "a Sikh militant leader shot to death by the Indian police in 1992", "Sikh"]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

AnatEM

However , when compared with clinicopathological features , the expression of HSP27 correlated inversely with survival period .

Anatomy

{"entities": []}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

mit-restaurant

whats the best french restaurant in this town

Rating, Location, Amenity, Cuisine, Hours, Price, Dish, Restaurant Name

{"entities": [{"name": "best", "type": "Rating"}, {"name": "french", "type": "Cuisine"}, {"name": "this town", "type": "Location"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

ncbi

Chromosomal translocations in human lipomas frequently create fusion transcripts encoding high mobility group ( HMG ) I - C DNA - binding domains and C - terminal sequences from different presumed transcription factors , suggesting a potential role for HMG I - C in the development of lipomas .

Disease

{"entities": [{"name": "lipomas", "type": "Disease"}, {"name": "lipomas", "type": "Disease"}]}

Extract all entity pairs from the given text and return them in JSON format with the key "entity_pairs". The output should be a JSON string containing a list of objects, each with "head" and "tail".

EP

semval-RE

brushing the air with both hands and coughing from the dust , it settled on both vehicles .

component whole, NA, instrument agency, member collection, cause effect, entity destination, content container, message topic, product producer, entity origin

{"entity_pairs": [{"head": "coughing", "tail": "dust"}]}

Extract all events from the given text and return them in JSON format with the key "events". The output should be a JSON string containing a list of objects, each with "event_type", "trigger", and "arguments" (a list of objects with "name" and "role").

EE

GENIA

A-myb is strongly expressed in Burkitt's lymphomas ( BL ) and slg+ B-acute lymphoblastic leukaemias ( B-ALL ) and not in all other leukaemias /lymphomas tested, with the exception of a subset of CLL (about 25% of cases).

Event type: ( RNA, cell type, protein, cell line, DNA ) . Arguments type: ( None )

{"events": [{"event_type": "protein", "trigger": "A-myb", "arguments": []}]}

Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

ET

ACE 2004

` ` Courts ought not to enter this political thicket , ' ' Justice Felix Frankfurter wrote .

geographical social political, organization, person, location, facility, vehicle, weapon

{"entities": [{"name": "Courts", "type": "organization"}, {"name": "Justice", "type": "person"}, {"name": "Justice Felix Frankfurter", "type": "person"}]}

Extract all event types and their triggers from the given text and return them in JSON format with the key "events". The output should be a JSON string containing a list of objects, each with "event_type" and "trigger".

EET

CASIE

While there are no workarounds to fix the vulnerability , Cisco is urging users to apply an update that fixes the bug , Cisco NetFlow Generation Appliance Software release 1.1 ( 1a ) .

phishing, data breach, ransom, discover vulnerability, patch vulnerability

{"events": [{"event_type": "patch vulnerability", "trigger": "fix"}]}

Extract all arguments of the event from the given text and return them in JSON format with the key "arguments". The output should be a JSON string containing a list of objects, each with "name" and "role", based on the provided event type.

EEA

PHEE

The results of the ultrasound examination combined with clinical anamnesis allowed diagnosis of gastric mucosa foveolar hyperplasia due to prolonged PGE1 therapy.

Treatment.Freq, Subject.Population, Combination.Drug, Subject.Gender, Treatment.Duration, Subject, Effect, Treatment, Treatment.Disorder, Subject.Disorder, Treatment.Route, Subject.Race, Treatment.Time_elapsed, Treatment.Dosage, Subject.Age, Treatment.Drug

{"arguments": [{"name": "gastric mucosa foveolar hyperplasia", "role": "Effect"}, {"name": "prolonged PGE1 therapy", "role": "Treatment"}, {"name": "PGE1", "role": "Treatment.Drug"}, {"name": "prolonged", "role": "Treatment.Duration"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

PolyglotNER

Yuen Long Estate ( ) was a public housing estate in Yuen Long Town , Yuen Long , New Territories , Hong Kong , located at the east of MTR Long Ping Station .

location, person, organization

{"entities": [{"name": "Yuen Long", "type": "location"}, {"name": "Yuen Long Town", "type": "location"}, {"name": "Yuen Long", "type": "location"}, {"name": "New Territories", "type": "location"}, {"name": "Hong Kong", "type": "location"}, {"name": "Long Ping Station", "type": "location"}]}

Extract all event types and their triggers from the given text and return them in JSON format with the key "events". The output should be a JSON string containing a list of objects, each with "event_type" and "trigger".

EET

PHEE

Although the literature on the use of risperidone in elderly patients with dementia consists largely of uncontrolled trials, case reports, and chart reviews, it appears that this agent is effective for managing agitation in this population and does so with a low frequency of extrapyramidal symptoms (EPS).

adverse event, potential therapeutic event

{"events": [{"event_type": "potential therapeutic event", "trigger": "is "}]}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

semval-RE

brightly colored honey dipper beads and chunky disk rings make up this all wood foot toy .

component whole, NA, instrument agency, member collection, cause effect, entity destination, content container, message topic, product producer, entity origin

{"relations": [{"head": "rings", "relation": "component whole", "tail": "toy"}]}

Extract all entity pairs from the given text and return them in JSON format with the key "entity_pairs". The output should be a JSON string containing a list of objects, each with "head" and "tail".

EP

GIDS

Seth Lipsky (born in 1946 in Brooklyn ) is the founder and editor of the New York Sun, an independent conservative daily in New York City that ceased its print edition on September 30, 2008. Lipsky counts Ronald Reagan, Margaret Thatcher, Winston Churchill, Ariel Sharon, and Milton Friedman among his intellectual and ideological heroes. He has a long history of working in the newspaper business, including a stint for the Wall Street Journal in Asia and Belgium. He has also written several invited articles and guest opinions for the New York Times.

place of death, place of birth, education degree, education institution

{"entity_pairs": [{"head": "Seth Lipsky", "tail": "Brooklyn"}]}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

New-York-Times-RE_sample_30000

A1 Ex-A.I.G. Chief Investigated Federal prosecutors in Manhattan have opened a criminal investigation into whether Maurice R. Greenberg , the former chairman and chief executive of the American International Group , orchestrated an effort to manipulate the company 's stock price in his final weeks as chief , people briefed on the inquiry said .

ethnicity, place lived, geographic distribution, company industry, country of administrative divisions, administrative division of country, location contains, person of company, profession, ethnicity of people, company shareholder among major shareholders, sports team of location, religion, neighborhood of, company major shareholders, place of death, nationality, children, company founders, company founded place, country of capital, company advisors, sports team location of teams, place of birth

{"relations": [{"head": "Maurice R. Greenberg", "relation": "company shareholder among major shareholders", "tail": "American International Group"}, {"head": "American International Group", "relation": "company major shareholders", "tail": "Maurice R. Greenberg"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

bc2gm

These findings suggest that the MAP kinase activator / MAP kinase system may be the downstream components of ras signal transduction pathways .

GENE

{"entities": [{"name": "MAP kinase activator", "type": "GENE"}, {"name": "MAP kinase", "type": "GENE"}, {"name": "ras", "type": "GENE"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

Broad Tweet Corpus

Despite #MH17 and #MH370 disasters , Malaysia Airlines reports no surge in ticket cancellations http://t.co/DZIE081b5z

location, person, organization

{"entities": [{"name": "Malaysia Airlines", "type": "organization"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

ACE 2004_sample_15000

Some time ago the basketball - size jellyfish established themselves in the Caribbean .

geographical social political, organization, person, location, facility, vehicle, weapon

{"entities": [{"name": "the Caribbean", "type": "location"}]}

Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

ET

FindVehicle

There are so many cars on the highway that I cannot recognize but I think there is a white Buick Riviera driving RIGHT with 116 km/h and a multi-color Land Rover Defender one three zero

vehicle type, position of vehicle, color of vehicle, orientation of vehicle, vehicle velocity, vehicle range, brand of vehicle, vehicle model, SUV, hatchback, sports car, sedan, bus, truck, vintage car, coupe, roadster, estate car, motorcycle, MPV, van

{"entities": [{"name": "Buick Riviera", "type": "sedan"}, {"name": "Land Rover Defender one three zero", "type": "SUV"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

bc4chemd

Conversely , the antioxidant parameters , including the content of reduced glutathione ( GSH ) and the activities of superoxide dismutase and peroxidase , were significantly induced by both PAHs and metals .

Chemical

{"entities": [{"name": "glutathione", "type": "Chemical"}, {"name": "GSH", "type": "Chemical"}, {"name": "superoxide", "type": "Chemical"}, {"name": "PAHs", "type": "Chemical"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

ACE 2004_sample_15000

egyptian president hosni mubarak opened the emergency arab league summit with a statement blaming israel for adopting a belligerent attitude which threatens the essence of peace .

geographical social political, organization, person, location, facility, vehicle, weapon

{"entities": [{"name": "egyptian", "type": "geographical social political"}, {"name": "israel", "type": "geographical social political"}, {"name": "arab league", "type": "organization"}, {"name": "egyptian president", "type": "person"}, {"name": "egyptian president hosni mubarak", "type": "person"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

ncbi

Loss of APC function was recently shown to result in enhanced beta - catenin - / Tcf - mediated transcription in colon epithelial cells .

Disease

{"entities": [{"name": "APC", "type": "Disease"}]}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

SciERC_sample_10000

The parser computes a compact parse forest representation of the complete set of possible analyses for large treebank grammars and long input sentences .

conjunction, feature of, hyponym of, used for, part of, compare, evaluate for

{"relations": [{"head": "parser", "relation": "used for", "tail": "parse forest representation"}, {"head": "parse forest representation", "relation": "used for", "tail": "large treebank grammars"}]}

Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

ET

bc4chemd

This study aimed to evaluate the quantitative importance of different cytochrome P450 ( P450 ) enzymes in imatinib pharmacokinetics .

Chemical

{"entities": [{"name": "imatinib", "type": "Chemical"}]}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

semval-RE

self-organization become apparent in evolution as self-assemblage of the gene networks and cascades .

component whole, NA, instrument agency, member collection, cause effect, entity destination, content container, message topic, product producer, entity origin

{"relations": []}

Extract all events from the given text and return them in JSON format with the key "events". The output should be a JSON string containing a list of objects, each with "event_type", "trigger", and "arguments" (a list of objects with "name" and "role").

EE

ACE05

now let ' s go back to wolf blitzer in kuwait city for more special coverage of the war in iraq .

Event type: ( declare bankruptcy, transfer ownership, transfer money, marry, transport, die, phone write, arrest jail, convict, sentence, sue, end organization, start organization, end position, start position, meet, elect, attack, injure, born, fine, release parole, charge indict, extradite, trial hearing, demonstrate, divorce, nominate, appeal, pardon, execute, acquit, merge organization ) . Arguments type: ( beneficiary, prosecutor, plaintiff, seller, victim, buyer, agent, destination, artifact, organization, recipient, person, place, origin, target, giver, adjudicator, attacker, vehicle, defendant, entity, instrument )

{"events": [{"event_type": "attack", "trigger": "war", "arguments": [{"name": "iraq", "role": "place"}]}]}

Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

ET

ACE 2004

The president of the People ' s Bank of China , Xianglong Dai pointed out here yesterday that China will continue to expand the opened - up areas , strengthen co - operation with foreign financial institutions , and promote financial and economic trade interaction between China and other countries .

geographical social political, organization, person, location, facility, vehicle, weapon

{"entities": [{"name": "here", "type": "geographical social political"}, {"name": "China", "type": "geographical social political"}, {"name": "China", "type": "geographical social political"}, {"name": "other countries", "type": "geographical social political"}, {"name": "the People ' s Bank of China", "type": "organization"}, {"name": "foreign financial institutions", "type": "organization"}, {"name": "The president of the People ' s Bank of China", "type": "person"}, {"name": "Xianglong Dai", "type": "person"}, {"name": "the opened - up areas", "type": "location"}]}

Extract all entity pairs from the given text and return them in JSON format with the key "entity_pairs". The output should be a JSON string containing a list of objects, each with "head" and "tail".

EP

GIDS

Robert Kowalski died November 9, 2007 in Southern California at the age of 65 from a pulmonary embolism.

place of death, place of birth, education degree, education institution

{"entity_pairs": [{"head": "Robert Kowalski", "tail": "Southern California"}]}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

ADE_corpus_sample_15000

Moreover , these findings suggest that the incidence of BOOP following rituximab therapy may be higher than has been previously appreciated .

adverse effect

{"relations": [{"head": "BOOP", "relation": "adverse effect", "tail": "rituximab"}]}

Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

ET

Broad Tweet Corpus

Independent post-mortem shows #MichaelBrown shot " at least 6 times " in #Ferguson, Missouri , family lawyer confirms http://t.co/yaQkrSiqgV

location, person, organization

{"entities": [{"name": "Independent", "type": "organization"}, {"name": "#MichaelBrown", "type": "person"}, {"name": "#Ferguson, Missouri", "type": "location"}]}

Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.

ES

FabNER

As a case study , the resulting solidification microstructure selection maps are created to predict the stable growth modality and the columnar to equiaxed transition ( CET ) of an Al-10Si-0.5Mg alloy processed via Selective Laser Melting .

manufacturing standard, machanical property, manufacturing process, material, engineering feature, process parameter, machine or equipment, application, process characterization, enabling technology, biomedical, concept or principle

{"entities": ["As", "case study", "solidification microstructure", "transition", "Al-10Si-0.5Mg alloy", "Selective Laser Melting"]}

Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.

ES

mit-movie

show me all movies out right now that are part of a trilogy

genre, year, plot, average ratings, actor, title, song, character, rating, review, director, trailer

{"entities": ["out right now"]}

Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.

ES

WikiNeural

Because the Vlaams Blok was considered a racist group by many , the other Belgian political parties committed to exclude the party from any coalition government , even if that forced the formation of grand coalition governments between ideological rivals .

location, person, organization

{"entities": ["Vlaams Blok"]}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

semval-RE

by now , my friends are familiar with my almost english obsession with toast .

component whole, NA, instrument agency, member collection, cause effect, entity destination, content container, message topic, product producer, entity origin

{"relations": []}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

bc4chemd

To delineate the universe of endogenous circular RNAs , we performed high - throughput sequencing ( RNA - seq ) of libraries prepared from ribosome - depleted RNA with or without digestion with the RNA exonuclease , RNase R .

Chemical

{"entities": []}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

GIDS

Bill Auberlen is an American factory BMW driver, born in Redondo Beach California. He has participated in more than 300 professional races in a BMW, more than any other driver. He won his first race for the marque in 1997 and that year won Drivers title in the IMSA GTS-3 with BMW Team PTG in a BMW M3. Bill has won more than 90 races and has stood on the podium almost 200 times so far in his career.

place of death, place of birth, education degree, education institution

{"relations": [{"head": "Bill Auberlen", "relation": "place of birth", "tail": "Redondo Beach"}]}

Extract all entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

ET

ncbi

None of the mutations and only one of the rare variants was identified in a reference population of 73 unrelated subjects .

Disease

{"entities": []}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

WikiANN en

K ( Eighth Avenue Local )

location, person, organization

{"entities": [{"name": "K ( Eighth Avenue Local )", "type": "organization"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

bc2gm

Studies of lipogenesis by labelled precursors in the pregnant rat .

GENE

{"entities": []}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

New-York-Times-RE_sample_30000

Instead , the '' Mouth of the South , '' as the outspoken Mr. Turner is known , was in the company 's signature skyscraper in Rockefeller Center to open a New York outpost of his Ted 's Montana Grill restaurant chain .

ethnicity, place lived, geographic distribution, company industry, country of administrative divisions, administrative division of country, location contains, person of company, profession, ethnicity of people, company shareholder among major shareholders, sports team of location, religion, neighborhood of, company major shareholders, place of death, nationality, children, company founders, company founded place, country of capital, company advisors, sports team location of teams, place of birth

{"relations": [{"head": "New York", "relation": "location contains", "tail": "Rockefeller Center"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

AnatEM

Statistical analysis is performed and P < 0 . 05 considered significant .

Anatomy

{"entities": []}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

bc2gm

However , we did detect lot - to - lot variation and differences in performance between narrow bandpass and wide bandpass spectrophotometers .

GENE

{"entities": []}

Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.

ES

mit-movie

show me horror movies from the 1990s

genre, year, plot, average ratings, actor, title, song, character, rating, review, director, trailer

{"entities": ["horror", "1990s"]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

WikiANN en

Alistair and Stewart Lord ( 1940– )

location, person, organization

{"entities": [{"name": "Alistair", "type": "person"}, {"name": "Stewart Lord", "type": "person"}]}

Extract all arguments of the event from the given text and return them in JSON format with the key "arguments". The output should be a JSON string containing a list of objects, each with "name" and "role", based on the provided event type.

EEA

PHEE

Nitrofurantoin-induced pulmonary toxicity during pregnancy: a report of a case and review of the literature.

Treatment.Freq, Subject.Population, Combination.Drug, Subject.Gender, Treatment.Duration, Subject, Effect, Treatment, Treatment.Disorder, Subject.Disorder, Treatment.Route, Subject.Race, Treatment.Time_elapsed, Treatment.Dosage, Subject.Age, Treatment.Drug

{"arguments": [{"name": "pulmonary toxicity", "role": "Effect"}, {"name": "Nitrofurantoin", "role": "Treatment"}, {"name": "Nitrofurantoin", "role": "Treatment.Drug"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

HarveyNER

-DOCSTART- @croosen48168 @rei_m3 m @Dbanks5486 Christopher has your family received help as of yet ?

exact location, area, road, river

{"entities": []}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

GIDS

and professionals considering law school Will A have the chance to meet with admissions representatives from across the country at the 2017 Washington D.C. Law School Fair at George Washington University Law School Washington UniversityTM. This annual event introduces attendees to prospective law schools and will feature a Mock Law School Admissions Panel. Admission is free and the fair is open to anyone interested in law school.

place of death, place of birth, education degree, education institution

{"relations": [{"head": "Will A", "relation": "education institution", "tail": "George Washington University Law School"}]}

Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.

ES

FindVehicle

Please help me find the BLACK BMW F eight zero zero S on the Lower part of the image and the purplish-red Suzuki Intruder 400 on the bottom left

vehicle type, position of vehicle, color of vehicle, orientation of vehicle, vehicle velocity, vehicle range, brand of vehicle, vehicle model, SUV, hatchback, sports car, sedan, bus, truck, vintage car, coupe, roadster, estate car, motorcycle, MPV, van

{"entities": ["BLACK", "BMW", "F eight zero zero S", "Lower part", "purplish-red", "Suzuki", "Intruder 400", "bottom left"]}

Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.

ES

TweetNER7_sample_15000

Brent Harvey 's ( {@Brent Harvey@} ) daily workouts have now surpassed 100,000 views . Thanks so much for all the support ! Join in the fun with the family every weekday at 8am AEST , or check out all the previous episodes . Presented by {@Mazda Australia@} . # HuddleUp

group, creative work, person, event, product, location, corporation

{"entities": ["Brent Harvey", "Brent Harvey", "Mazda Australia"]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

Ontonotes_sample_30000

The speech by Milosevic on state TV signaled he has abandoned efforts to block the opposition from assuming power .

date, organization, person, geographical social political, national religious political, facility, cardinal, location, work of art, law, event, product, ordinal, percent, time, quantity, money, language

{"entities": [{"name": "Milosevic", "type": "person"}]}

Extract all entity spans from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of entity names.

ES

WikiNeural

In 1840 a new neo-Tudor Crom Castle was built , designed by Scottish architect Edward Blore .

location, person, organization

{"entities": ["Crom Castle", "Edward Blore"]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

mit-movie

what movie used the catchphrase go ahead make my day

genre, year, plot, average ratings, actor, title, song, character, rating, review, director, trailer

{"entities": []}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

mit-restaurant

where is the nearest olive garden

Rating, Location, Amenity, Cuisine, Hours, Price, Dish, Restaurant Name

{"entities": [{"name": "nearest", "type": "Location"}, {"name": "olive garden", "type": "Restaurant Name"}]}

Extract all named entities and their types from the given text and return them in JSON format with the key "entities". The output should be a JSON string containing a list of objects, each with "name" and "type".

NER

FabNER

Laser spatter is coarser and more spherical than virgin powder .

manufacturing standard, machanical property, manufacturing process, material, engineering feature, process parameter, machine or equipment, application, process characterization, enabling technology, biomedical, concept or principle

{"entities": [{"name": "Laser", "type": "enabling technology"}, {"name": "spherical", "type": "concept or principle"}, {"name": "virgin powder", "type": "material"}]}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

NYT11_sample_30000

Correction : May 27 , 2006 , Saturday An obituary yesterday about James W. Carey , a scholar of communications theory at the Graduate School of Journalism at Columbia University , misstated the length of the more academically rigorous master 's degree program he helped to develop .

nationality, country capital, place of death, children, location contains, place of birth, place lived, administrative division of country, country of administrative divisions, company, neighborhood of, company founders

{"relations": [{"head": "James W. Carey", "relation": "company", "tail": "Columbia University"}]}

Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".

RE

conll04_sample_5000

The launch contract was signed early this month between the INPE , Finep , and China 's Great Wall firm .

Organization based in, Located in, Live in, Work for, Kill

{"relations": [{"head": "Great Wall firm", "relation": "Organization based in", "tail": "China"}]}