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 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	North Korea 's tirades against Tokyo are nearly unprintable ; the South Koreans are more polite but fervently resolute whenever their prestige is challenged by Japan .	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": "Japan", "relation": "country of capital", "tail": "Tokyo"}, {"head": "Japan", "relation": "location contains", "tail": "Tokyo"}, {"head": "Japan", "relation": "country of administrative divisions", "tail": "Tokyo"}, {"head": "Tokyo", "relation": "administrative division of country", "tail": "Japan"}]}
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	This attracted the interest of Yeovil Town , and he later signed for the club in July 2004 .	media, plant, vehicle, astronomical object, time, disease, animal, location, person, organization, mythical figure, food, biology, geographical phenomenon, instrument, event	{"entities": [{"name": "Yeovil Town", "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	MultiNERD	He played for the Dallas Mavericks ( 1992 / 93 ) , Utah Jazz ( 1993 / 94 ) and Detroit Pistons ( 1994 / 95 ) .	media, plant, vehicle, astronomical object, time, disease, animal, location, person, organization, mythical figure, food, biology, geographical phenomenon, instrument, event	{"entities": [{"name": "Dallas Mavericks", "type": "organization"}, {"name": "Utah Jazz", "type": "organization"}, {"name": "Detroit Pistons", "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	WikiANN en	He is a founding Associate Artist of The Civilians .	location, person, organization	{"entities": [{"name": "The Civilians", "type": "organization"}]}
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	HarveyNER	-DOCSTART- RT @EricHolthaus : About 3 - 8 " of rain fell overnight in the Houston area . Seven - day totals now 25 - 35 " , with 10 - 15 " more on the way by Wednesday . https://t.co/WoN46dlB8A	exact location, area, road, river	{"entities": []}
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	PHEE	We report a patient who developed spontaneous splenic infarction after the use of sumatriptan for the treatment of migraine headache.	Event type: ( adverse event,potential therapeutic event ) . Arguments type: ( Treatment.Disorder,Treatment.Time_elapsed,Treatment.Dosage,Subject.Race,Treatment.Drug,Treatment.Route,Subject.Disorder,Treatment.Freq,Treatment,Effect,Subject.Population,Treatment.Duration,Combination.Drug,Subject,Subject.Age,Subject.Gender )	{"events": [{"event_type": "adverse event", "trigger": "developed ", "arguments": [{"name": "a patient", "role": "Subject"}, {"name": "spontaneous splenic infarction", "role": "Effect"}, {"name": "sumatriptan", "role": "Treatment"}, {"name": "migraine headache", "role": "Treatment.Disorder"}, {"name": "sumatriptan", "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	mit-restaurant	is there any malaysian restaurant that has a great wine list	Rating, Location, Amenity, Cuisine, Hours, Price, Dish, Restaurant Name	{"entities": [{"name": "malaysian", "type": "Cuisine"}, {"name": "wine list", "type": "Amenity"}]}
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	These studies have led to a hypothesis that the supplemental intake of these vitamins may reduce the risk of cancer .	Anatomy	{"entities": [{"name": "cancer", "type": "Anatomy"}]}
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	AnatEM	[ Extra - anatomic bypass from the ascending aorta to the supraceliac abdominal aorta - - surgical option applied to reoperation for aortic coarctation or interruption ] .	Anatomy	{"entities": [{"name": "ascending aorta", "type": "Anatomy"}, {"name": "abdominal aorta", "type": "Anatomy"}, {"name": "aortic", "type": "Anatomy"}]}
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	It might be a case of peer semantics but the President has resolutely refused to say clearly that HIV causes AIDS .	geographical social political, organization, person, location, facility, vehicle, weapon	{"entities": [{"name": "the President", "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	FindVehicle	All of a sudden , a brand-new RED Audi S8 D5 appears in the UPPER-PART of the screen at a speed of 121 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": "RED", "type": "color of vehicle"}, {"name": "Audi", "type": "brand of vehicle"}, {"name": "S8 D5", "type": "vehicle model"}, {"name": "UPPER-PART", "type": "position of vehicle"}, {"name": "121 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	semval-RE	information about salmonellosis , an illness caused by a bacteria found in raw food , soil , or water .	component whole, NA, instrument agency, member collection, cause effect, entity destination, content container, message topic, product producer, entity origin	{"relations": [{"head": "illness", "relation": "cause effect", "tail": "bacteria"}]}
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	The Belvedere Gallery , above , in a former Hapsburg royal palace in Vienna , displayed the works for more than half a century until an arbitration court ruled in January that they must be returned to Maria Altmann of Beverly Hills and other heirs of the Jewish family that owned the paintings before the Germans took over Austria in 1938 .	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": "Vienna", "relation": "administrative division of country", "tail": "Austria"}, {"head": "Maria Altmann", "relation": "place lived", "tail": "Vienna"}, {"head": "Austria", "relation": "country of administrative divisions", "tail": "Vienna"}]}
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	These findings delineate a novel pathway in the cytokine network in which Th2 lymphocytes "control" eosinophils via the release of IL-4 and IL-5 , and activation of NF-AT in eosinophils .	Event type: ( RNA, cell type, protein, cell line, DNA ) . Arguments type: ( None )	{"events": [{"event_type": "cell line", "trigger": "Th2 lymphocytes", "arguments": []}, {"event_type": "protein", "trigger": "NF-AT", "arguments": []}, {"event_type": "protein", "trigger": "IL-5", "arguments": []}, {"event_type": "protein", "trigger": "IL-4", "arguments": []}, {"event_type": "cell type", "trigger": "eosinophils", "arguments": []}, {"event_type": "cell type", "trigger": "eosinophils", "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	AR can be visualized with the anti- AR antibodies in the cytoplasm of permeabilized T cells by using CLSM , though AR are not detectable in cytosol fractions when using the charcoal binding assay with 3H-R1881 as ligand.	cell line, protein, RNA, DNA, cell type	{"entities": [{"name": "AR", "type": "protein"}, {"name": "permeabilized T cells", "type": "cell type"}, {"name": "anti- AR antibodies", "type": "protein"}, {"name": "AR", "type": "protein"}, {"name": "AR", "type": "protein"}]}
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	bc5cdr	After two to seven cycles of chemotherapy , nine patients showed a decrease in tumor size and surrounding edema on contrast - enhanced computerized tomography scans .	Disease, Chemical	{"entities": ["tumor", "edema"]}
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	CoNLL 2003_sample_15000	6-mth Helibor 3.56 pct 3.55 pct	location, else, organization, person	{"entities": [{"name": "Helibor", "type": "else"}]}
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	My teammate Gilberto Silva explained to me that he was a really good Brazil defender who attacked a lot .	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": "Gilberto Silva", "tail": "Brazil"}]}
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	Nguy?n T?n D?ng ( born 17 November 1949 ) is the Prime Minist er of Vi etnam .	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": "Nguy?n T?n", "relation": "countries of residence", "tail": "er of Vi"}]}
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	SciERC_sample_10000	Due to the complexity of its emission process , fluo-rescence tends to be excluded from most algorithms in computer vision and image processing .	conjunction, feature of, hyponym of, used for, part of, compare, evaluate for	{"relations": [{"head": "complexity", "relation": "evaluate for", "tail": "emission process"}, {"head": "algorithms", "relation": "used for", "tail": "computer vision"}, {"head": "algorithms", "relation": "used for", "tail": "image processing"}, {"head": "computer vision", "relation": "conjunction", "tail": "image processing"}]}
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	Co - amplification of 11 exons from genomic DNA of Duchenne and Becker muscular dystrophy ( DMD / BMD ) patients with no deletion or duplication was performed and the samples subjected to multiple SSCP analysis .	Disease	{"entities": [{"name": "Duchenne and Becker muscular dystrophy", "type": "Disease"}, {"name": "DMD", "type": "Disease"}, {"name": "BMD", "type": "Disease"}]}
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 Bugatti Chiron on the Top of the image and the brown Infiniti QX five zero on the bottom right	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", "Bugatti", "Chiron", "Top", "brown", "Infiniti", "QX five zero", "bottom right"]}
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	Except during such tense times in the Middle East , analysts and fund managers said , fluctuations in the United States markets , the biggest and most dynamic in the world , are more likely to influence share prices in the Middle East than vice versa .	geographical social political, organization, person, location, facility, vehicle, weapon	{"entities": ["United States", "analysts", "fund managers", "the Middle East", "the world", "the Middle East"]}
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	He is taking advantage of two craze that we are having in the Italy at the moment , one is Internet , the other one is the awareness on food .	geographical social political, organization, person, location, facility, vehicle, weapon	{"entities": [{"name": "we", "type": "geographical social political"}, {"name": "the Italy", "type": "geographical social political"}, {"name": "He", "type": "person"}]}
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	Using a PKC -specific inhibitor , GF109203X , or PKC -depleted T cells , we found that a large part of the anti-CD3 -induced ERK activation is PKC dependent .	Event type: ( RNA, cell type, protein, cell line, DNA ) . Arguments type: ( None )	{"events": [{"event_type": "cell line", "trigger": "PKC -depleted T cells", "arguments": []}, {"event_type": "protein", "trigger": "ERK", "arguments": []}, {"event_type": "protein", "trigger": "PKC", "arguments": []}, {"event_type": "protein", "trigger": "anti-CD3", "arguments": []}, {"event_type": "protein", "trigger": "PKC", "arguments": []}, {"event_type": "protein", "trigger": "PKC", "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-restaurant	where can i get some meatloaf for a fairly inexpensive price	Rating, Location, Amenity, Cuisine, Hours, Price, Dish, Restaurant Name	{"entities": ["meatloaf", "fairly inexpensive"]}
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	B . , was among the first reported with hyperuricemia and central nervous system symptoms .	Disease	{"entities": [{"name": "hyperuricemia", "type": "Disease"}, {"name": "central nervous system symptoms", "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	TweetNER7_sample_15000	I finally got to see the Newest Breaking Bad movie # ElCamino last night in theaters . I just have to say , If only I could have such loyal friends as {@Charles Baker@} & {@Matt Jones@} ! You guys made me tear up .	group, creative work, person, event, product, location, corporation	{"entities": [{"name": "Breaking Bad", "type": "creative work"}, {"name": "ElCamino", "type": "creative work"}, {"name": "Charles Baker", "type": "person"}, {"name": "Matt Jones", "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	FabNER	Porous tantalum ( Ta ) and titanium ( Ti ) coatings are widely used for non-cemented implants , which are fabricated using different processing routes .	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": "Porous", "type": "machanical property"}, {"name": "Ta", "type": "material"}, {"name": "titanium", "type": "material"}, {"name": "Ti", "type": "material"}, {"name": "coatings", "type": "application"}, {"name": "implants", "type": "application"}, {"name": "fabricated", "type": "concept or principle"}]}
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	SciERC_sample_10000	The experimental results will show that it significantly outperforms state-of-the-art approaches in sentence-level correlation .	conjunction, feature of, hyponym of, used for, part of, compare, evaluate for	{"relations": [{"head": "it", "relation": "compare", "tail": "approaches"}, {"head": "sentence-level correlation", "relation": "evaluate for", "tail": "it"}, {"head": "sentence-level correlation", "relation": "evaluate for", "tail": "approaches"}]}
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	Critical review of the evidence that steroids have biological effects .	Chemical	{"entities": [{"name": "steroids", "type": "Chemical"}]}
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	These are hypotheticals cause I honestly do n’t think Florida wins and I have no idea how Florida only dropped one spot but if we beat Bama and Ohio state loses y’all think Florida gets in the playoffs ? Cause either way Clemson Or Norte Dame are losing {{USERNAME}} {{USERNAME}}	group, creative work, person, event, product, location, corporation	{"entities": ["Florida", "Florida", "Bama", "Ohio", "Florida", "Clemson", "Norte Dame"]}
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	Ketanserin in the treatment of protamine - induced pulmonary hypertension .	adverse effect	{"relations": [{"head": "pulmonary hypertension", "relation": "adverse effect", "tail": "protamine"}]}
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	Davide Bianchetti , (born March 8, 1977 in Brescia ) is a professional squash player who represents Italy. He reached a career-high world ranking of World No. 24 in October 2004.	place of death, place of birth, education degree, education institution	{"relations": [{"head": "Davide Bianchetti", "relation": "place of birth", "tail": "Brescia"}]}
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	Since Sunday , at least 20 rockets have hit in or near Haifa , a major port and Israel 's third largest city , which is about 20 miles south of the border .	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": "Israel", "relation": "location contains", "tail": "Haifa"}]}
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	The roots of the dispute reach back to March 22 , 1682 , when Charles II gave his brother , James , the duke of York and the future King James II , all the land within a 12-mile radius of New Castle , now in Delaware .	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": "Delaware", "relation": "location contains", "tail": "New Castle"}]}
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	MultiNERD	com , which satirises local current affairs and politics , highlighting the importance of supporting free speech in Singapore .	media, plant, vehicle, astronomical object, time, disease, animal, location, person, organization, mythical figure, food, biology, geographical phenomenon, instrument, event	{"entities": [{"name": "Singapore", "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	CoNLL 2003_sample_15000	Jordan has asked an Iraqi diplomat to leave the kingdom for carrying out duties incompatible with diplomatic norms , an official source said on Friday .	location, else, organization, person	{"entities": ["Jordan", "Iraqi"]}
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- RT @Hugaporcupine83 : # HarveyRescue # HarveySOS @HurricaneHNeed @alt_noods https://t.co/tPm7CEcnfB	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	conll04_sample_5000	London Kanal-6 Television	Organization based in, Located in, Live in, Work for, Kill	{"relations": [{"head": "Kanal-6 Television", "relation": "Organization based in", "tail": "London"}]}
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	name the main character in the blind side	genre, year, plot, average ratings, actor, title, song, character, rating, review, director, trailer	{"entities": [{"name": "the blind side", "type": "title"}]}
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- RT @LandryLocker : # Texans HC Bill O'Brien dedicating 2017 NFL season to city of Houston with one promise . " We 'll play our asses off for the city of Houston . " https://t.co/ptgQoOCIBZ	exact location, area, road, river	{"entities": []}
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	20 Sharon Stable After Surgery Prime Minister Ariel Sharon of Israel underwent emergency surgery on his large intestine and emerged in stable condition , though he remains in a coma , the Hadassah Ein Kerem Hospital 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	{"entity_pairs": [{"head": "Ariel Sharon", "tail": "Israel"}]}
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	Last , a mathematical model is derived , which approximates the printability of filled polymers without the preparation of composites .	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": "mathematical", "type": "concept or principle"}, {"name": "printability", "type": "process parameter"}, {"name": "polymers", "type": "material"}, {"name": "composites", "type": "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	CoNLL 2003_sample_15000	J. Crawley b Waqar Younis 106	location, else, organization, person	{"entities": [{"name": "Waqar Younis", "type": "person"}, {"name": "J. Crawley", "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	TweetNER7_sample_15000	Manchester is RED , blue just for film {{USERNAME}} {{USERNAME}}	group, creative work, person, event, product, location, corporation	{"entities": [{"name": "Manchester", "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	WikiANN en	Mazraeh-ye Shomali Rural District	location, person, organization	{"entities": [{"name": "Mazraeh-ye Shomali Rural District", "type": "location"}]}
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	Because of an editing error , an article on Wednesday about a bombing in Colombo , the capital of Sri Lanka , that killed two people misstated the political stance of S. Sivadasan , who was the apparent target of the attack .	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": "Sri Lanka", "relation": "country of capital", "tail": "Colombo"}, {"head": "Sri Lanka", "relation": "location contains", "tail": "Colombo"}]}
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	The magnitude and time course of the increase in heart rate and the decrease in systolic blood pressure after nitroglycerin were similar in the normal and diabetic subjects without autonomic neuropathy , whereas a lesser increase in heart rate and a greater decrease in systolic blood pressure occurred in the diabetic subjects with autonomic neuropathy .	Disease, Chemical	{"entities": [{"name": "nitroglycerin", "type": "Chemical"}, {"name": "diabetic", "type": "Disease"}, {"name": "autonomic neuropathy", "type": "Disease"}, {"name": "diabetic", "type": "Disease"}, {"name": "autonomic neuropathy", "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	WikiANN en	Kildeer , Illinois , USA	location, person, organization	{"entities": [{"name": "Kildeer , Illinois", "type": "location"}, {"name": "USA", "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	mit-movie	what is the comedy called white castle about	genre, year, plot, average ratings, actor, title, song, character, rating, review, director, trailer	{"entities": [{"name": "comedy", "type": "genre"}, {"name": "white castle", "type": "plot"}]}
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	MultiNERD	Moreover , between 1915 and 1926 , an epidemic of encephalitis lethargica spread around the world affecting nearly five million people .	media, plant, vehicle, astronomical object, time, disease, animal, location, person, organization, mythical figure, food, biology, geographical phenomenon, instrument, event	{"entities": [{"name": "encephalitis lethargica", "type": "disease"}]}
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	She was at the forefront of women ' s chess in the United States for more than three decades .	geographical social political, organization, person, location, facility, vehicle, weapon	{"entities": ["the United States", "She", "women"]}
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	ADE_corpus_sample_15000	Nephropathy caused by methicillin therapy for staphylococcal septicemia .	adverse effect	{"entity_pairs": [{"head": "Nephropathy", "tail": "methicillin"}]}
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	Tajikistan shares a long , mountainous southern border with Afghanistan , and Pentagon officials have praised the Tajik government for using its influence with the large ethnic Tajik population in Afghanistan to support President Hamid Karzai 's government there . ''	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": "Hamid Karzai", "relation": "nationality", "tail": "Afghanistan"}, {"head": "Hamid Karzai", "relation": "nationality", "tail": "Afghanistan"}]}
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	WikiNeural	The CDA placed billboards saying " Love the King .	location, person, organization	{"entities": [{"name": "CDA", "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	NYT11_sample_30000	I like it a lot , '' she says , '' especially now that Ireland is part of the E.U. ; I 've met people from all over Europe . ''	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": "Europe", "relation": "location contains", "tail": "Ireland"}]}
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 Camaro Z28 name came from an option code which specified a performance-oriented configuration .	location, person, organization	{"entities": []}
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	That vigilance may seem like too little , too late to the 7,700 district employees whose information was leaked through what many have characterized as an obvious scam .	phishing, data breach, ransom, discover vulnerability, patch vulnerability	{"events": [{"event_type": "data breach", "trigger": "was leaked"}]}
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	Israeli defense officials accused Fatah of carrying out the bus attack .	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": "Israeli", "type": "national religious political"}, {"name": "Fatah", "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	Broad Tweet Corpus	Malaysian Airlines flight #MH17 reported to have been shot down by BUK-M 1 [ aka SA- 11 ] surface-to-air missile system http://t.co/UWwFifWhZr	location, person, organization	{"entities": [{"name": "Malaysian 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	WikiNeural	They first investigated the possibilities that the sounds were due to equipment malfunction , geophysical phenomena , or even part of a Soviet Union scheme for detecting enemy submarines .	location, person, organization	{"entities": [{"name": "Soviet Union", "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	GENIA_NER	Although inhibition of IL-4 -driven germline C epsilon transcription by NAC was not sufficient, the agent remarkably diminished anti-CD40 mAb -mediated up-regulation of germline C epsilon transcription .	cell line, protein, RNA, DNA, cell type	{"entities": [{"name": "germline", "type": "DNA"}, {"name": "IL-4 -driven germline C epsilon", "type": "cell line"}, {"name": "anti-CD40 mAb", "type": "protein"}, {"name": "IL-4", "type": "protein"}]}
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	Furthermore , the identification of this germline mutation strengthens the correlation between the 5 location of an APC disease - causing mutation and the attenuated polyposis phenotype . .	Disease	{"entities": [{"name": "APC", "type": "Disease"}, {"name": "attenuated polyposis", "type": "Disease"}]}
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	Unlike ANG Antivirus , Security Essentials uses 3rd party trojans that disguise themselves as flash updates that are required to view online videos .	phishing, data breach, ransom, discover vulnerability, patch vulnerability	{"events": [{"event_type": "phishing", "trigger": "disguise"}]}
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	RT @ 1step2theleft I Was Blessed with Awesome Travels in 2011 http://t.co/kvwf0HaD # Travel # TTOT # BestOf2011	location, person, organization	{"entities": []}
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	On the contrary, 32Dcl3 cells stably expressing AML1/ETO were completely resistant to differentiation and continued to grow in the presence of G-CSF .	Event type: ( RNA, cell type, protein, cell line, DNA ) . Arguments type: ( None )	{"events": [{"event_type": "protein", "trigger": "G-CSF", "arguments": []}, {"event_type": "cell line", "trigger": "32Dcl3 cells", "arguments": []}, {"event_type": "DNA", "trigger": "AML1/ETO", "arguments": []}]}
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	If a user signed up to another service with the same password , hackers could access the victim 's account on another site , as well as their CashCrate account .	victim, attacker, attack pattern, purpose, damage amount, tool, time, place, number of victim, compromised data, number of data	{"arguments": [{"name": "hackers", "role": "attacker"}, {"name": "account", "role": "compromised data"}, {"name": "site", "role": "victim"}, {"name": "victim", "role": "victim"}, {"name": "CashCrate", "role": "victim"}, {"name": "account", "role": "compromised data"}, {"name": "user", "role": "victim"}]}
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	Fritz Prager was promoted to Major on 19 June 1940 and on 1 July took command of the 3rd Parachute Regiment's II Battalion. He died on 3 December 1940 in Braunschweig , of cancer.	place of death, place of birth, education degree, education institution	{"entity_pairs": [{"head": "Fritz Prager", "tail": "Braunschweig"}]}
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	Both men , who live in Manhattan , have been active in New York City and state politics , but have also worked for the city parks and other government agencies .	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 City", "relation": "location contains", "tail": "Manhattan"}]}
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	President Mubarak added : I was willing to conclude my trip with a visit to fraternal Saudi Arabia to meet with my brother the custodian of the two holy mosques , King Fahd-Bin- 'Abd-al- 'Aziz , Crown Prince 'Abdallah , and the leaders of the kingdom .	Organization based in, Located in, Live in, Work for, Kill	{"relations": [{"head": "King Fahd-Bin- 'Abd-al- 'Aziz", "relation": "Live in", "tail": "Saudi Arabia"}, {"head": "Crown Prince 'Abdallah", "relation": "Live in", "tail": "Saudi Arabia"}]}
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	Gentamicin - associated acute renal failure .	adverse effect	{"relations": [{"head": "acute renal failure", "relation": "adverse effect", "tail": "Gentamicin"}]}
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	After nearly two decades in prison for the assassination of the Rev. Martin Luther King Jr. , James Earl Ray says he would trade places with the hostages in Lebanon .	Organization based in, Located in, Live in, Work for, Kill	{"relations": [{"head": "James Earl Ray", "relation": "Kill", "tail": "Rev. Martin Luther King Jr."}]}
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	According to the biochemical tests , high activity ( over 200 U / l ) of alkaline phosphatase was recorded exclusively in patients with the lymphogranulomatosis - induced liver damage .	GENE	{"entities": ["alkaline phosphatase"]}
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	Ukraine 's new prime minister , Viktor F. Yanukovich , has promised that his government will refrain from siphoning natural gas from Russia 's export pipelines to meet Ukraine 's shortfall this winter , a practice that has incensed Russian officials who characterize it as stealing .	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": "Russian", "relation": "geographic distribution", "tail": "Russia"}, {"head": "Russian", "relation": "geographic distribution", "tail": "Ukraine"}, {"head": "Russian", "relation": "geographic distribution", "tail": "Ukraine"}]}
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	There were no significant differences between the two groups with respect to the range of motion at the end of six weeks ( p > 0 . 05 ) .	Anatomy	{"entities": []}
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	mit-movie	im looking for a scary film from the year 1950 starring mathew lillard	genre, year, plot, average ratings, actor, title, song, character, rating, review, director, trailer	{"entities": [{"name": "scary", "type": "genre"}, {"name": "1950", "type": "year"}, {"name": "mathew lillard", "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	Germany is split between those who embrace Klinsmann and those who vaguely fear an Americanization of German soccer , according to Andrei Markovits , a professor of German studies at the University of Michigan who has written about Klinsmann and anti-Americanism in Europe .	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": "Europe", "relation": "location contains", "tail": "Germany"}]}
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	Vic Police say they have a man in custody at HMAS Cerberus . 400m exclusion zone in place . Bomb squad en route ( @ SimoLove )	location, person, organization	{"entities": [{"name": "Vic", "type": "location"}, {"name": "HMAS Cerberus", "type": "location"}, {"name": "SimoLove", "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	ACE 2004_sample_15000	But the governor ' s call went unheeded .	geographical social political, organization, person, location, facility, vehicle, weapon	{"entities": [{"name": "the governor", "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	GIDS	Pl Robert A ne graduated with a B.A. degree from Evansville College in Indiana in 1948, and he received a Ph.D. degree from the University of Evansville of Chicago in 1951. For a short while he was a research chemist at Oak Ridge National Laboratory. During his tenure at Cornell, he co-wrote the most widely used general chemistry text in the world, Chemistry.	place of death, place of birth, education degree, education institution	{"relations": [{"head": "Robert A", "relation": "education institution", "tail": "University of Evansville"}]}
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	bc5cdr	Finally , the dose response for cardiovascular events of nicotine appears to be flat , suggesting that if nicotine is involved , adverse effects might be seen with relatively low - level cigarette exposures .	Disease, Chemical	{"entities": ["nicotine", "nicotine"]}
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	William Henry Bartlett	location, person, organization	{"entities": [{"name": "William Henry Bartlett", "type": "person"}]}
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	WikiANN en	He was born in Nandi .	location, person, organization	{"entities": [{"name": "Nandi", "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	mit-restaurant	i feel like pasta	Rating, Location, Amenity, Cuisine, Hours, Price, Dish, Restaurant Name	{"entities": ["pasta"]}
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	A significant difference was noted in median dQTc between the active acromegalic patients and the controls ( p = 0 . 015 ) .	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 2004_sample_15000	The rest of the top five are www . zdnet . com , from CNet , with a score of 936 ; http : / / members . aol . com , also from America Online , 925 ; www . msn . com , from Microsoft , 922 ; and www . go . com , from the Walt Disney Co . , 915 .	geographical social political, organization, person, location, facility, vehicle, weapon	{"entities": [{"name": "CNet", "type": "organization"}, {"name": "America Online", "type": "organization"}, {"name": "Microsoft", "type": "organization"}, {"name": "the Walt Disney Co", "type": "organization"}]}
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	Israel removed several thousand settlers from Yamit , in the Sinai Peninsula , in 1982 after signing a peace treaty with Egypt .	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": "Egypt", "tail": "Sinai Peninsula"}]}
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	Ontonotes_sample_30000	Sihanouk made this proposal in a statement issued yesterday .	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": ["Sihanouk", "yesterday"]}
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	We believe the results of those studies may have been affected by residual confounding .	Disease, Chemical	{"entities": []}
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	CASIE	Over 200 victims in Europe and beyond continue to suffer from a brand new ransomware attack demanding Bitcoin to release encrypted files .	Event type: ( phishing, data breach, ransom, discover vulnerability, patch vulnerability ) . Arguments type: ( vulnerable system, capabilities, vulnerability, number of victim, issues addressed, compromised data, damage amount, common vulnerabilities and exposures, victim, patch number, number of data, tool, discoverer, time, purpose, place, payment method, releaser, vulnerable system version, attacker, supported platform, patch, price, vulnerable system owner, trusted entity, attack pattern )	{"events": [{"event_type": "ransom", "trigger": "ransomware attack demanding Bitcoin", "arguments": [{"name": "victims", "role": "victim"}, {"name": "Europe", "role": "place"}, {"name": "encrypted files", "role": "attack pattern"}]}]}
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	CoNLL 2003_sample_15000	England beat Pakistan by five wickets to win the first one-day ( 50 overs-a-side ) international at Old Trafford on Thursday .	location, else, organization, person	{"entities": [{"name": "Old Trafford", "type": "location"}, {"name": "England", "type": "location"}, {"name": "Pakistan", "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	bc5cdr	Hypersensitivity to carbamazepine presenting with a leukemoid reaction , eosinophilia , erythroderma , and renal failure .	Disease, Chemical	{"entities": [{"name": "Hypersensitivity", "type": "Disease"}, {"name": "carbamazepine", "type": "Chemical"}, {"name": "leukemoid reaction", "type": "Disease"}, {"name": "eosinophilia", "type": "Disease"}, {"name": "erythroderma", "type": "Disease"}, {"name": "renal failure", "type": "Disease"}]}
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 have three grown children and four grandchildren .	geographical social political, organization, person, location, facility, vehicle, weapon	{"entities": [{"name": "They", "type": "person"}, {"name": "three grown children", "type": "person"}, {"name": "four grandchildren", "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	bc2gm	This core sequence , along with additional nonspecific downstream nucleotides , is sufficient for partial suppression of spliceosome assembly and splicing of BPV - 1 pre - mRNAs .	GENE	{"entities": []}
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	ACE05	But he never got comfortable in the media glare before and especially during the war .	declare bankruptcy, transfer ownership, marry, die, phone write, arrest jail, convict, sue, transfer money, end organization, start organization, end position, merge organization, start position, transport, charge indict, elect, attack, injure, born, extradite, release parole, sentence, demonstrate, meet, trial hearing, divorce, nominate, fine, appeal, pardon, execute, acquit	{"events": [{"event_type": "attack", "trigger": "war"}]}
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	This mutation is identical to the disease - causing mutation in patients with hereditary hemochromatosis .	Disease	{"entities": [{"name": "hereditary hemochromatosis", "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	FabNER	On printing using these filaments , the maximum tensile strength and modulus obtained were 108.5 ± 19.4 MPa and 25.9 ± 1.1 GPa , respectively , higher than the properties reported on using short fiber composites .	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": "filaments", "type": "material"}, {"name": "tensile strength", "type": "machanical property"}, {"name": "MPa", "type": "concept or principle"}, {"name": "GPa", "type": "machanical property"}, {"name": "properties", "type": "concept or principle"}, {"name": "short fiber composites", "type": "material"}]}
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	Ontonotes_sample_30000	For about forty - five years .	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": ["about forty - five years"]}
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	PolyglotNER	It has 1000-employees and has been listed as one of Inc. . Magazine 's 500-fastest growing private businesses . Key people in The Siegel Group include Stephen Siegel ( Chief Executive Officer and President ) , Maggie Natour ( Chief Financial Officer ) , Judith Perez ( Executive Vice President ) , Michael Crandall ( Senior Vice President ) , Mike Tisdale ( Vice President of Multifamily Operations ) , and Ross Siegel ( Director of Online Operations ) .	location, person, organization	{"entities": ["Siegel", "Stephen Siegel", "Siegel"]}

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

North Korea 's tirades against Tokyo are nearly unprintable ; the South Koreans are more polite but fervently resolute whenever their prestige is challenged by Japan .

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": "Japan", "relation": "country of capital", "tail": "Tokyo"}, {"head": "Japan", "relation": "location contains", "tail": "Tokyo"}, {"head": "Japan", "relation": "country of administrative divisions", "tail": "Tokyo"}, {"head": "Tokyo", "relation": "administrative division of country", "tail": "Japan"}]}

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

This attracted the interest of Yeovil Town , and he later signed for the club in July 2004 .

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

{"entities": [{"name": "Yeovil Town", "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

MultiNERD

He played for the Dallas Mavericks ( 1992 / 93 ) , Utah Jazz ( 1993 / 94 ) and Detroit Pistons ( 1994 / 95 ) .

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

{"entities": [{"name": "Dallas Mavericks", "type": "organization"}, {"name": "Utah Jazz", "type": "organization"}, {"name": "Detroit Pistons", "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

WikiANN en

He is a founding Associate Artist of The Civilians .

location, person, organization

{"entities": [{"name": "The Civilians", "type": "organization"}]}

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

HarveyNER

-DOCSTART- RT @EricHolthaus : About 3 - 8 " of rain fell overnight in the Houston area . Seven - day totals now 25 - 35 " , with 10 - 15 " more on the way by Wednesday . https://t.co/WoN46dlB8A

exact location, area, road, river

{"entities": []}

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

PHEE

We report a patient who developed spontaneous splenic infarction after the use of sumatriptan for the treatment of migraine headache.

Event type: ( adverse event,potential therapeutic event ) . Arguments type: ( Treatment.Disorder,Treatment.Time_elapsed,Treatment.Dosage,Subject.Race,Treatment.Drug,Treatment.Route,Subject.Disorder,Treatment.Freq,Treatment,Effect,Subject.Population,Treatment.Duration,Combination.Drug,Subject,Subject.Age,Subject.Gender )

{"events": [{"event_type": "adverse event", "trigger": "developed ", "arguments": [{"name": "a patient", "role": "Subject"}, {"name": "spontaneous splenic infarction", "role": "Effect"}, {"name": "sumatriptan", "role": "Treatment"}, {"name": "migraine headache", "role": "Treatment.Disorder"}, {"name": "sumatriptan", "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

mit-restaurant

is there any malaysian restaurant that has a great wine list

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

{"entities": [{"name": "malaysian", "type": "Cuisine"}, {"name": "wine list", "type": "Amenity"}]}

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

These studies have led to a hypothesis that the supplemental intake of these vitamins may reduce the risk of cancer .

Anatomy

{"entities": [{"name": "cancer", "type": "Anatomy"}]}

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

AnatEM

[ Extra - anatomic bypass from the ascending aorta to the supraceliac abdominal aorta - - surgical option applied to reoperation for aortic coarctation or interruption ] .

Anatomy

{"entities": [{"name": "ascending aorta", "type": "Anatomy"}, {"name": "abdominal aorta", "type": "Anatomy"}, {"name": "aortic", "type": "Anatomy"}]}

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

It might be a case of peer semantics but the President has resolutely refused to say clearly that HIV causes AIDS .

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

{"entities": [{"name": "the President", "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

FindVehicle

All of a sudden , a brand-new RED Audi S8 D5 appears in the UPPER-PART of the screen at a speed of 121 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": "RED", "type": "color of vehicle"}, {"name": "Audi", "type": "brand of vehicle"}, {"name": "S8 D5", "type": "vehicle model"}, {"name": "UPPER-PART", "type": "position of vehicle"}, {"name": "121 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

semval-RE

information about salmonellosis , an illness caused by a bacteria found in raw food , soil , or water .

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

{"relations": [{"head": "illness", "relation": "cause effect", "tail": "bacteria"}]}

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

The Belvedere Gallery , above , in a former Hapsburg royal palace in Vienna , displayed the works for more than half a century until an arbitration court ruled in January that they must be returned to Maria Altmann of Beverly Hills and other heirs of the Jewish family that owned the paintings before the Germans took over Austria in 1938 .

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": "Vienna", "relation": "administrative division of country", "tail": "Austria"}, {"head": "Maria Altmann", "relation": "place lived", "tail": "Vienna"}, {"head": "Austria", "relation": "country of administrative divisions", "tail": "Vienna"}]}

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

These findings delineate a novel pathway in the cytokine network in which Th2 lymphocytes "control" eosinophils via the release of IL-4 and IL-5 , and activation of NF-AT in eosinophils .

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

{"events": [{"event_type": "cell line", "trigger": "Th2 lymphocytes", "arguments": []}, {"event_type": "protein", "trigger": "NF-AT", "arguments": []}, {"event_type": "protein", "trigger": "IL-5", "arguments": []}, {"event_type": "protein", "trigger": "IL-4", "arguments": []}, {"event_type": "cell type", "trigger": "eosinophils", "arguments": []}, {"event_type": "cell type", "trigger": "eosinophils", "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

AR can be visualized with the anti- AR antibodies in the cytoplasm of permeabilized T cells by using CLSM , though AR are not detectable in cytosol fractions when using the charcoal binding assay with 3H-R1881 as ligand.

cell line, protein, RNA, DNA, cell type

{"entities": [{"name": "AR", "type": "protein"}, {"name": "permeabilized T cells", "type": "cell type"}, {"name": "anti- AR antibodies", "type": "protein"}, {"name": "AR", "type": "protein"}, {"name": "AR", "type": "protein"}]}

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

bc5cdr

After two to seven cycles of chemotherapy , nine patients showed a decrease in tumor size and surrounding edema on contrast - enhanced computerized tomography scans .

Disease, Chemical

{"entities": ["tumor", "edema"]}

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

CoNLL 2003_sample_15000

6-mth Helibor 3.56 pct 3.55 pct

location, else, organization, person

{"entities": [{"name": "Helibor", "type": "else"}]}

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

My teammate Gilberto Silva explained to me that he was a really good Brazil defender who attacked a lot .

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": "Gilberto Silva", "tail": "Brazil"}]}

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

Nguy?n T?n D?ng ( born 17 November 1949 ) is the Prime Minist er of Vi etnam .

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": "Nguy?n T?n", "relation": "countries of residence", "tail": "er of Vi"}]}

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

SciERC_sample_10000

Due to the complexity of its emission process , fluo-rescence tends to be excluded from most algorithms in computer vision and image processing .

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

{"relations": [{"head": "complexity", "relation": "evaluate for", "tail": "emission process"}, {"head": "algorithms", "relation": "used for", "tail": "computer vision"}, {"head": "algorithms", "relation": "used for", "tail": "image processing"}, {"head": "computer vision", "relation": "conjunction", "tail": "image processing"}]}

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

Co - amplification of 11 exons from genomic DNA of Duchenne and Becker muscular dystrophy ( DMD / BMD ) patients with no deletion or duplication was performed and the samples subjected to multiple SSCP analysis .

Disease

{"entities": [{"name": "Duchenne and Becker muscular dystrophy", "type": "Disease"}, {"name": "DMD", "type": "Disease"}, {"name": "BMD", "type": "Disease"}]}

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 Bugatti Chiron on the Top of the image and the brown Infiniti QX five zero on the bottom right

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", "Bugatti", "Chiron", "Top", "brown", "Infiniti", "QX five zero", "bottom right"]}

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

Except during such tense times in the Middle East , analysts and fund managers said , fluctuations in the United States markets , the biggest and most dynamic in the world , are more likely to influence share prices in the Middle East than vice versa .

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

{"entities": ["United States", "analysts", "fund managers", "the Middle East", "the world", "the Middle East"]}

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

He is taking advantage of two craze that we are having in the Italy at the moment , one is Internet , the other one is the awareness on food .

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

{"entities": [{"name": "we", "type": "geographical social political"}, {"name": "the Italy", "type": "geographical social political"}, {"name": "He", "type": "person"}]}

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

Using a PKC -specific inhibitor , GF109203X , or PKC -depleted T cells , we found that a large part of the anti-CD3 -induced ERK activation is PKC dependent .

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

{"events": [{"event_type": "cell line", "trigger": "PKC -depleted T cells", "arguments": []}, {"event_type": "protein", "trigger": "ERK", "arguments": []}, {"event_type": "protein", "trigger": "PKC", "arguments": []}, {"event_type": "protein", "trigger": "anti-CD3", "arguments": []}, {"event_type": "protein", "trigger": "PKC", "arguments": []}, {"event_type": "protein", "trigger": "PKC", "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-restaurant

where can i get some meatloaf for a fairly inexpensive price

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

{"entities": ["meatloaf", "fairly inexpensive"]}

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

B . , was among the first reported with hyperuricemia and central nervous system symptoms .

Disease

{"entities": [{"name": "hyperuricemia", "type": "Disease"}, {"name": "central nervous system symptoms", "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

TweetNER7_sample_15000

I finally got to see the Newest Breaking Bad movie # ElCamino last night in theaters . I just have to say , If only I could have such loyal friends as {@Charles Baker@} & {@Matt Jones@} ! You guys made me tear up .

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

{"entities": [{"name": "Breaking Bad", "type": "creative work"}, {"name": "ElCamino", "type": "creative work"}, {"name": "Charles Baker", "type": "person"}, {"name": "Matt Jones", "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

FabNER

Porous tantalum ( Ta ) and titanium ( Ti ) coatings are widely used for non-cemented implants , which are fabricated using different processing routes .

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": "Porous", "type": "machanical property"}, {"name": "Ta", "type": "material"}, {"name": "titanium", "type": "material"}, {"name": "Ti", "type": "material"}, {"name": "coatings", "type": "application"}, {"name": "implants", "type": "application"}, {"name": "fabricated", "type": "concept or principle"}]}

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

SciERC_sample_10000

The experimental results will show that it significantly outperforms state-of-the-art approaches in sentence-level correlation .

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

{"relations": [{"head": "it", "relation": "compare", "tail": "approaches"}, {"head": "sentence-level correlation", "relation": "evaluate for", "tail": "it"}, {"head": "sentence-level correlation", "relation": "evaluate for", "tail": "approaches"}]}

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

Critical review of the evidence that steroids have biological effects .

Chemical

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

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

These are hypotheticals cause I honestly do n’t think Florida wins and I have no idea how Florida only dropped one spot but if we beat Bama and Ohio state loses y’all think Florida gets in the playoffs ? Cause either way Clemson Or Norte Dame are losing {{USERNAME}} {{USERNAME}}

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

{"entities": ["Florida", "Florida", "Bama", "Ohio", "Florida", "Clemson", "Norte Dame"]}

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

Ketanserin in the treatment of protamine - induced pulmonary hypertension .

adverse effect

{"relations": [{"head": "pulmonary hypertension", "relation": "adverse effect", "tail": "protamine"}]}

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

Davide Bianchetti , (born March 8, 1977 in Brescia ) is a professional squash player who represents Italy. He reached a career-high world ranking of World No. 24 in October 2004.

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

{"relations": [{"head": "Davide Bianchetti", "relation": "place of birth", "tail": "Brescia"}]}

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

Since Sunday , at least 20 rockets have hit in or near Haifa , a major port and Israel 's third largest city , which is about 20 miles south of the border .

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": "Israel", "relation": "location contains", "tail": "Haifa"}]}

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

The roots of the dispute reach back to March 22 , 1682 , when Charles II gave his brother , James , the duke of York and the future King James II , all the land within a 12-mile radius of New Castle , now in Delaware .

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": "Delaware", "relation": "location contains", "tail": "New Castle"}]}

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

MultiNERD

com , which satirises local current affairs and politics , highlighting the importance of supporting free speech in Singapore .

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

{"entities": [{"name": "Singapore", "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

CoNLL 2003_sample_15000

Jordan has asked an Iraqi diplomat to leave the kingdom for carrying out duties incompatible with diplomatic norms , an official source said on Friday .

location, else, organization, person

{"entities": ["Jordan", "Iraqi"]}

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- RT @Hugaporcupine83 : # HarveyRescue # HarveySOS @HurricaneHNeed @alt_noods https://t.co/tPm7CEcnfB

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

conll04_sample_5000

London Kanal-6 Television

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

{"relations": [{"head": "Kanal-6 Television", "relation": "Organization based in", "tail": "London"}]}

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

name the main character in the blind side

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

{"entities": [{"name": "the blind side", "type": "title"}]}

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- RT @LandryLocker : # Texans HC Bill O'Brien dedicating 2017 NFL season to city of Houston with one promise . " We 'll play our asses off for the city of Houston . " https://t.co/ptgQoOCIBZ

exact location, area, road, river

{"entities": []}

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

20 Sharon Stable After Surgery Prime Minister Ariel Sharon of Israel underwent emergency surgery on his large intestine and emerged in stable condition , though he remains in a coma , the Hadassah Ein Kerem Hospital 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

{"entity_pairs": [{"head": "Ariel Sharon", "tail": "Israel"}]}

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

Last , a mathematical model is derived , which approximates the printability of filled polymers without the preparation of composites .

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": "mathematical", "type": "concept or principle"}, {"name": "printability", "type": "process parameter"}, {"name": "polymers", "type": "material"}, {"name": "composites", "type": "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

CoNLL 2003_sample_15000

J. Crawley b Waqar Younis 106

location, else, organization, person

{"entities": [{"name": "Waqar Younis", "type": "person"}, {"name": "J. Crawley", "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

TweetNER7_sample_15000

Manchester is RED , blue just for film {{USERNAME}} {{USERNAME}}

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

{"entities": [{"name": "Manchester", "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

WikiANN en

Mazraeh-ye Shomali Rural District

location, person, organization

{"entities": [{"name": "Mazraeh-ye Shomali Rural District", "type": "location"}]}

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

Because of an editing error , an article on Wednesday about a bombing in Colombo , the capital of Sri Lanka , that killed two people misstated the political stance of S. Sivadasan , who was the apparent target of the attack .

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": "Sri Lanka", "relation": "country of capital", "tail": "Colombo"}, {"head": "Sri Lanka", "relation": "location contains", "tail": "Colombo"}]}

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

The magnitude and time course of the increase in heart rate and the decrease in systolic blood pressure after nitroglycerin were similar in the normal and diabetic subjects without autonomic neuropathy , whereas a lesser increase in heart rate and a greater decrease in systolic blood pressure occurred in the diabetic subjects with autonomic neuropathy .

Disease, Chemical

{"entities": [{"name": "nitroglycerin", "type": "Chemical"}, {"name": "diabetic", "type": "Disease"}, {"name": "autonomic neuropathy", "type": "Disease"}, {"name": "diabetic", "type": "Disease"}, {"name": "autonomic neuropathy", "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

WikiANN en

Kildeer , Illinois , USA

location, person, organization

{"entities": [{"name": "Kildeer , Illinois", "type": "location"}, {"name": "USA", "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

mit-movie

what is the comedy called white castle about

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

{"entities": [{"name": "comedy", "type": "genre"}, {"name": "white castle", "type": "plot"}]}

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

MultiNERD

Moreover , between 1915 and 1926 , an epidemic of encephalitis lethargica spread around the world affecting nearly five million people .

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

{"entities": [{"name": "encephalitis lethargica", "type": "disease"}]}

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

She was at the forefront of women ' s chess in the United States for more than three decades .

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

{"entities": ["the United States", "She", "women"]}

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

ADE_corpus_sample_15000

Nephropathy caused by methicillin therapy for staphylococcal septicemia .

adverse effect

{"entity_pairs": [{"head": "Nephropathy", "tail": "methicillin"}]}

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

Tajikistan shares a long , mountainous southern border with Afghanistan , and Pentagon officials have praised the Tajik government for using its influence with the large ethnic Tajik population in Afghanistan to support President Hamid Karzai 's government there . ''

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": "Hamid Karzai", "relation": "nationality", "tail": "Afghanistan"}, {"head": "Hamid Karzai", "relation": "nationality", "tail": "Afghanistan"}]}

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

WikiNeural

The CDA placed billboards saying " Love the King .

location, person, organization

{"entities": [{"name": "CDA", "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

NYT11_sample_30000

I like it a lot , '' she says , '' especially now that Ireland is part of the E.U. ; I 've met people from all over Europe . ''

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": "Europe", "relation": "location contains", "tail": "Ireland"}]}

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 Camaro Z28 name came from an option code which specified a performance-oriented configuration .

location, person, organization

{"entities": []}

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

That vigilance may seem like too little , too late to the 7,700 district employees whose information was leaked through what many have characterized as an obvious scam .

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

{"events": [{"event_type": "data breach", "trigger": "was leaked"}]}

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

Israeli defense officials accused Fatah of carrying out the bus attack .

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": "Israeli", "type": "national religious political"}, {"name": "Fatah", "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

Broad Tweet Corpus

Malaysian Airlines flight #MH17 reported to have been shot down by BUK-M 1 [ aka SA- 11 ] surface-to-air missile system http://t.co/UWwFifWhZr

location, person, organization

{"entities": [{"name": "Malaysian 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

WikiNeural

They first investigated the possibilities that the sounds were due to equipment malfunction , geophysical phenomena , or even part of a Soviet Union scheme for detecting enemy submarines .

location, person, organization

{"entities": [{"name": "Soviet Union", "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

GENIA_NER

Although inhibition of IL-4 -driven germline C epsilon transcription by NAC was not sufficient, the agent remarkably diminished anti-CD40 mAb -mediated up-regulation of germline C epsilon transcription .

cell line, protein, RNA, DNA, cell type

{"entities": [{"name": "germline", "type": "DNA"}, {"name": "IL-4 -driven germline C epsilon", "type": "cell line"}, {"name": "anti-CD40 mAb", "type": "protein"}, {"name": "IL-4", "type": "protein"}]}

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

Furthermore , the identification of this germline mutation strengthens the correlation between the 5 location of an APC disease - causing mutation and the attenuated polyposis phenotype . .

Disease

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

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

Unlike ANG Antivirus , Security Essentials uses 3rd party trojans that disguise themselves as flash updates that are required to view online videos .

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

{"events": [{"event_type": "phishing", "trigger": "disguise"}]}

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

RT @ 1step2theleft I Was Blessed with Awesome Travels in 2011 http://t.co/kvwf0HaD # Travel # TTOT # BestOf2011

location, person, organization

{"entities": []}

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

On the contrary, 32Dcl3 cells stably expressing AML1/ETO were completely resistant to differentiation and continued to grow in the presence of G-CSF .

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

{"events": [{"event_type": "protein", "trigger": "G-CSF", "arguments": []}, {"event_type": "cell line", "trigger": "32Dcl3 cells", "arguments": []}, {"event_type": "DNA", "trigger": "AML1/ETO", "arguments": []}]}

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

If a user signed up to another service with the same password , hackers could access the victim 's account on another site , as well as their CashCrate account .

victim, attacker, attack pattern, purpose, damage amount, tool, time, place, number of victim, compromised data, number of data

{"arguments": [{"name": "hackers", "role": "attacker"}, {"name": "account", "role": "compromised data"}, {"name": "site", "role": "victim"}, {"name": "victim", "role": "victim"}, {"name": "CashCrate", "role": "victim"}, {"name": "account", "role": "compromised data"}, {"name": "user", "role": "victim"}]}

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

Fritz Prager was promoted to Major on 19 June 1940 and on 1 July took command of the 3rd Parachute Regiment's II Battalion. He died on 3 December 1940 in Braunschweig , of cancer.

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

{"entity_pairs": [{"head": "Fritz Prager", "tail": "Braunschweig"}]}

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

Both men , who live in Manhattan , have been active in New York City and state politics , but have also worked for the city parks and other government agencies .

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 City", "relation": "location contains", "tail": "Manhattan"}]}

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

President Mubarak added : I was willing to conclude my trip with a visit to fraternal Saudi Arabia to meet with my brother the custodian of the two holy mosques , King Fahd-Bin- 'Abd-al- 'Aziz , Crown Prince 'Abdallah , and the leaders of the kingdom .

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

{"relations": [{"head": "King Fahd-Bin- 'Abd-al- 'Aziz", "relation": "Live in", "tail": "Saudi Arabia"}, {"head": "Crown Prince 'Abdallah", "relation": "Live in", "tail": "Saudi Arabia"}]}

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

Gentamicin - associated acute renal failure .

adverse effect

{"relations": [{"head": "acute renal failure", "relation": "adverse effect", "tail": "Gentamicin"}]}

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

After nearly two decades in prison for the assassination of the Rev. Martin Luther King Jr. , James Earl Ray says he would trade places with the hostages in Lebanon .

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

{"relations": [{"head": "James Earl Ray", "relation": "Kill", "tail": "Rev. Martin Luther King Jr."}]}

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

According to the biochemical tests , high activity ( over 200 U / l ) of alkaline phosphatase was recorded exclusively in patients with the lymphogranulomatosis - induced liver damage .

GENE

{"entities": ["alkaline phosphatase"]}

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

Ukraine 's new prime minister , Viktor F. Yanukovich , has promised that his government will refrain from siphoning natural gas from Russia 's export pipelines to meet Ukraine 's shortfall this winter , a practice that has incensed Russian officials who characterize it as stealing .

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": "Russian", "relation": "geographic distribution", "tail": "Russia"}, {"head": "Russian", "relation": "geographic distribution", "tail": "Ukraine"}, {"head": "Russian", "relation": "geographic distribution", "tail": "Ukraine"}]}

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

There were no significant differences between the two groups with respect to the range of motion at the end of six weeks ( p > 0 . 05 ) .

Anatomy

{"entities": []}

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

mit-movie

im looking for a scary film from the year 1950 starring mathew lillard

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

{"entities": [{"name": "scary", "type": "genre"}, {"name": "1950", "type": "year"}, {"name": "mathew lillard", "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

Germany is split between those who embrace Klinsmann and those who vaguely fear an Americanization of German soccer , according to Andrei Markovits , a professor of German studies at the University of Michigan who has written about Klinsmann and anti-Americanism in Europe .

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": "Europe", "relation": "location contains", "tail": "Germany"}]}

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

Vic Police say they have a man in custody at HMAS Cerberus . 400m exclusion zone in place . Bomb squad en route ( @ SimoLove )

location, person, organization

{"entities": [{"name": "Vic", "type": "location"}, {"name": "HMAS Cerberus", "type": "location"}, {"name": "SimoLove", "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

ACE 2004_sample_15000

But the governor ' s call went unheeded .

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

{"entities": [{"name": "the governor", "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

GIDS

Pl Robert A ne graduated with a B.A. degree from Evansville College in Indiana in 1948, and he received a Ph.D. degree from the University of Evansville of Chicago in 1951. For a short while he was a research chemist at Oak Ridge National Laboratory. During his tenure at Cornell, he co-wrote the most widely used general chemistry text in the world, Chemistry.

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

{"relations": [{"head": "Robert A", "relation": "education institution", "tail": "University of Evansville"}]}

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

bc5cdr

Finally , the dose response for cardiovascular events of nicotine appears to be flat , suggesting that if nicotine is involved , adverse effects might be seen with relatively low - level cigarette exposures .

Disease, Chemical

{"entities": ["nicotine", "nicotine"]}

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

William Henry Bartlett

location, person, organization

{"entities": [{"name": "William Henry Bartlett", "type": "person"}]}

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

WikiANN en

He was born in Nandi .

location, person, organization

{"entities": [{"name": "Nandi", "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

mit-restaurant

i feel like pasta

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

{"entities": ["pasta"]}

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

A significant difference was noted in median dQTc between the active acromegalic patients and the controls ( p = 0 . 015 ) .

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 2004_sample_15000

The rest of the top five are www . zdnet . com , from CNet , with a score of 936 ; http : / / members . aol . com , also from America Online , 925 ; www . msn . com , from Microsoft , 922 ; and www . go . com , from the Walt Disney Co . , 915 .

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

{"entities": [{"name": "CNet", "type": "organization"}, {"name": "America Online", "type": "organization"}, {"name": "Microsoft", "type": "organization"}, {"name": "the Walt Disney Co", "type": "organization"}]}

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

Israel removed several thousand settlers from Yamit , in the Sinai Peninsula , in 1982 after signing a peace treaty with Egypt .

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": "Egypt", "tail": "Sinai Peninsula"}]}

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

Ontonotes_sample_30000

Sihanouk made this proposal in a statement issued yesterday .

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": ["Sihanouk", "yesterday"]}

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

We believe the results of those studies may have been affected by residual confounding .

Disease, Chemical

{"entities": []}

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

CASIE

Over 200 victims in Europe and beyond continue to suffer from a brand new ransomware attack demanding Bitcoin to release encrypted files .

Event type: ( phishing, data breach, ransom, discover vulnerability, patch vulnerability ) . Arguments type: ( vulnerable system, capabilities, vulnerability, number of victim, issues addressed, compromised data, damage amount, common vulnerabilities and exposures, victim, patch number, number of data, tool, discoverer, time, purpose, place, payment method, releaser, vulnerable system version, attacker, supported platform, patch, price, vulnerable system owner, trusted entity, attack pattern )

{"events": [{"event_type": "ransom", "trigger": "ransomware attack demanding Bitcoin", "arguments": [{"name": "victims", "role": "victim"}, {"name": "Europe", "role": "place"}, {"name": "encrypted files", "role": "attack pattern"}]}]}

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

CoNLL 2003_sample_15000

England beat Pakistan by five wickets to win the first one-day ( 50 overs-a-side ) international at Old Trafford on Thursday .

location, else, organization, person

{"entities": [{"name": "Old Trafford", "type": "location"}, {"name": "England", "type": "location"}, {"name": "Pakistan", "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

bc5cdr

Hypersensitivity to carbamazepine presenting with a leukemoid reaction , eosinophilia , erythroderma , and renal failure .

Disease, Chemical

{"entities": [{"name": "Hypersensitivity", "type": "Disease"}, {"name": "carbamazepine", "type": "Chemical"}, {"name": "leukemoid reaction", "type": "Disease"}, {"name": "eosinophilia", "type": "Disease"}, {"name": "erythroderma", "type": "Disease"}, {"name": "renal failure", "type": "Disease"}]}

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 have three grown children and four grandchildren .

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

{"entities": [{"name": "They", "type": "person"}, {"name": "three grown children", "type": "person"}, {"name": "four grandchildren", "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

bc2gm

This core sequence , along with additional nonspecific downstream nucleotides , is sufficient for partial suppression of spliceosome assembly and splicing of BPV - 1 pre - mRNAs .

GENE

{"entities": []}

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

ACE05

But he never got comfortable in the media glare before and especially during the war .

declare bankruptcy, transfer ownership, marry, die, phone write, arrest jail, convict, sue, transfer money, end organization, start organization, end position, merge organization, start position, transport, charge indict, elect, attack, injure, born, extradite, release parole, sentence, demonstrate, meet, trial hearing, divorce, nominate, fine, appeal, pardon, execute, acquit

{"events": [{"event_type": "attack", "trigger": "war"}]}

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

This mutation is identical to the disease - causing mutation in patients with hereditary hemochromatosis .

Disease

{"entities": [{"name": "hereditary hemochromatosis", "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

FabNER

On printing using these filaments , the maximum tensile strength and modulus obtained were 108.5 ± 19.4 MPa and 25.9 ± 1.1 GPa , respectively , higher than the properties reported on using short fiber composites .

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": "filaments", "type": "material"}, {"name": "tensile strength", "type": "machanical property"}, {"name": "MPa", "type": "concept or principle"}, {"name": "GPa", "type": "machanical property"}, {"name": "properties", "type": "concept or principle"}, {"name": "short fiber composites", "type": "material"}]}

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

Ontonotes_sample_30000

For about forty - five years .

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": ["about forty - five years"]}

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

PolyglotNER

It has 1000-employees and has been listed as one of Inc. . Magazine 's 500-fastest growing private businesses . Key people in The Siegel Group include Stephen Siegel ( Chief Executive Officer and President ) , Maggie Natour ( Chief Financial Officer ) , Judith Perez ( Executive Vice President ) , Michael Crandall ( Senior Vice President ) , Mike Tisdale ( Vice President of Multifamily Operations ) , and Ross Siegel ( Director of Online Operations ) .

location, person, organization

{"entities": ["Siegel", "Stephen Siegel", "Siegel"]}