query stringlengths 1.02k 96.3k | response stringlengths 42 25.2k | rejected_response stringlengths 39 25.6k | error_category stringclasses 3
values | format stringclasses 2
values | source stringclasses 9
values |
|---|---|---|---|---|---|
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "EU", "type": "organization"}, {"text": "German", "type": "miscellaneous"}, {"text": "British", "type": "miscellaneous"}]} | {"entities": [{"text": "EU rejects", "type": "organization"}, {"text": "German call", "type": "miscellaneous"}, {"text": "boycott British", "type": "miscellaneous"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Peter Blackburn", "type": "person"}]} | {"entities": [{"text": "Peter", "type": "person"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "BRUSSELS", "type": "location"}]} | {"entities": [{"text": "BRUSSELS", "type": "person"}]} | wrong_entity_types | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>The <organization> European Commission </organization> said on Thursday it disagreed with <miscellaneous> German </miscellaneous> advice to consumers to shun <miscellaneous> British </miscellaneous> lamb until scientists determine whether mad cow disease can be transmitted to sheep .</response> | <response>The <organization> European Commission said </organization> on Thursday it disagreed <miscellaneous> with German </miscellaneous> advice to consumers to <miscellaneous> shun British </miscellaneous> lamb until scientists determine whether mad cow disease can be transmitted to sheep .</response> | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><location> Germany </location> 's representative to the <organization> European Union </organization> 's veterinary committee <person> Werner Zwingmann </person> said on Wednesday consumers should buy sheepmeat from countries other than <location> Britain </location> until the scientific advice was clearer .<... | <response><miscellaneous> Germany </miscellaneous> 's representative to the <location> European Union </location> 's veterinary committee <person> Werner Zwingmann </person> said on Wednesday consumers should buy sheepmeat from countries other than <miscellaneous> Britain </miscellaneous> until the scientific advice wa... | wrong_entity_types | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Commission", "type": "organization"}, {"text": "Nikolaus van der Pas", "type": "person"}]} | {"entities": [{"text": "Nikolaus van der Pas", "type": "person"}]} | missing_entities | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "European Union", "type": "organization"}]} | {"entities": [{"text": "the European Union", "type": "organization"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>He said a proposal last month by <organization> EU </organization> Farm Commissioner <person> Franz Fischler </person> to ban sheep brains , spleens and spinal cords from the human and animal food chains was a highly specific and precautionary move to protect human health .</response> | <response>He said a proposal last month by <organization> EU </organization> Farm Commissioner Franz Fischler to ban sheep brains , spleens and spinal cords from the human and animal food chains was a highly specific and precautionary move to protect human health .</response> | missing_entities | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><person> Fischler </person> proposed <miscellaneous> EU-wide </miscellaneous> measures after reports from <location> Britain </location> and <location> France </location> that under laboratory conditions sheep could contract <miscellaneous> Bovine Spongiform Encephalopathy </miscellaneous> -LPR- <miscellaneou... | <response><person> Fischler </person> proposed <organization> EU-wide </organization> measures after reports from <person> Britain </person> and <organization> France </organization> that under laboratory conditions sheep could contract <miscellaneous> Bovine Spongiform Encephalopathy </miscellaneous> -LPR- <person> BS... | wrong_entity_types | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Fischler", "type": "person"}, {"text": "EU", "type": "organization"}]} | {"entities": [{"text": "Fischler", "type": "miscellaneous"}, {"text": "EU", "type": "organization"}]} | wrong_entity_types | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><miscellaneous> Spanish </miscellaneous> Farm Minister <person> Loyola de Palacio </person> had earlier accused <person> Fischler </person> at an <organization> EU </organization> farm ministers ' meeting of causing unjustified alarm through " dangerous generalisation . "</response> | <response><miscellaneous> Spanish Farm </miscellaneous> <person> Minister Loyola de Palacio </person> had earlier accused <person> Fischler at </person> an <organization> EU farm </organization> ministers ' meeting of causing unjustified alarm through " dangerous generalisation . "</response> | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "France", "type": "location"}, {"text": "Britain", "type": "location"}, {"text": "Fischler", "type": "person"}]} | {"entities": [{"text": "Only France", "type": "location"}, {"text": "and Britain", "type": "location"}, {"text": "backed Fischler", "type": "person"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "EU", "type": "organization"}]} | {"entities": [{"text": "EU", "type": "location"}]} | wrong_entity_types | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "BSE", "type": "miscellaneous"}]} | {"entities": [{"text": "BSE which", "type": "miscellaneous"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "British", "type": "miscellaneous"}, {"text": "German", "type": "miscellaneous"}, {"text": "British", "type": "miscellaneous"}, {"text": "Europe", "type": "location"}]} | {"entities": [{"text": "British farmers", "type": "miscellaneous"}, {"text": "that German", "type": "miscellaneous"}, {"text": "British lamb", "type": "miscellaneous"}, {"text": "Europe .", "type": "location"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Germany", "type": "location"}, {"text": "Welsh National Farmers ' Union", "type": "organization"}, {"text": "NFU", "type": "organization"}, {"text": "John Lloyd Jones", "type": "person"}, {"text": "BBC radio", "type": "organization"}]} | {"entities": [{"text": "Germany 's", "type": "location"}, {"text": "\" Welsh National Farmers ' Union", "type": "organization"}, {"text": "NFU -RPR-", "type": "organization"}, {"text": "John Lloyd", "type": "person"}, {"text": "on BBC radio", "type": "organization"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><location> Bonn </location> has led efforts to protect public health after consumer confidence collapsed in March after a <miscellaneous> British </miscellaneous> report suggested humans could contract an illness similar to mad cow disease by eating contaminated beef .</response> | <response>Bonn has led efforts to protect public health after consumer confidence collapsed in March after a <miscellaneous> British </miscellaneous> report suggested humans could contract an illness similar to mad cow disease by eating contaminated beef .</response> | missing_entities | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><location> Germany </location> imported 47,600 sheep from <location> Britain </location> last year , nearly half of total imports .</response> | <response><location> Germany imported </location> 47,600 sheep <location> from Britain </location> last year , nearly half of total imports .</response> | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>It brought in 4,275 tonnes of <miscellaneous> British </miscellaneous> mutton , some 10 percent of overall imports .</response> | <response>It brought in 4,275 tonnes of <miscellaneous> British mutton </miscellaneous> , some 10 percent of overall imports .</response> | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Hendrix", "type": "person"}]} | {"entities": [{"text": "Rare Hendrix", "type": "person"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><location> LONDON </location> 1996-08-22</response> | <response><location> LONDON 1996-08-22 </location></response> | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>A rare early handwritten draft of a song by <location> U.S. </location> guitar legend <person> Jimi Hendrix </person> was sold for almost $ 17,000 on Thursday at an auction of some of the late musician 's favourite possessions .</response> | <response>A rare early handwritten draft of a song by <organization> U.S. </organization> guitar legend <person> Jimi Hendrix </person> was sold for almost $ 17,000 on Thursday at an auction of some of the late musician 's favourite possessions .</response> | wrong_entity_types | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>A <location> Florida </location> restaurant paid 10,925 pounds -LPR- $ 16,935 -RPR- for the draft of " <miscellaneous> Ai n't no telling </miscellaneous> " , which <person> Hendrix </person> penned on a piece of <location> London </location> hotel stationery in late 1966 .</response> | <response>A <miscellaneous> Florida </miscellaneous> restaurant paid 10,925 pounds -LPR- $ 16,935 -RPR- for the draft of " <person> Ai n't no telling </person> " , which <organization> Hendrix </organization> penned on a piece of <miscellaneous> London </miscellaneous> hotel stationery in late 1966 .</response> | wrong_entity_types | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "English", "type": "miscellaneous"}, {"text": "Nottingham", "type": "location"}]} | {"entities": [{"text": "English city", "type": "miscellaneous"}, {"text": "of Nottingham", "type": "location"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Hendrix", "type": "person"}, {"text": "Kathy Etchingham", "type": "person"}]} | {"entities": [{"text": "Hendrix", "type": "organization"}, {"text": "Kathy Etchingham", "type": "location"}]} | wrong_entity_types | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>They included a black lacquer and mother of pearl inlaid box used by <person> Hendrix </person> to store his drugs , which an anonymous <miscellaneous> Australian </miscellaneous> purchaser bought for 5,060 pounds -LPR- $ 7,845 -RPR- .</response> | <response>They included a black lacquer and mother of pearl inlaid box used by <location> Hendrix </location> to store his drugs , which an anonymous <person> Australian </person> purchaser bought for 5,060 pounds -LPR- $ 7,845 -RPR- .</response> | wrong_entity_types | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "China", "type": "location"}, {"text": "Taiwan", "type": "location"}]} | {"entities": [{"text": "China says", "type": "location"}, {"text": "says Taiwan", "type": "location"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "BEIJING", "type": "location"}]} | {"entities": [{"text": "BEIJING 1996-08-22", "type": "location"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "China", "type": "location"}, {"text": "Taipei", "type": "location"}, {"text": "Taiwan Strait", "type": "location"}, {"text": "Ukraine", "type": "location"}, {"text": "Taiwanese", "type": "miscellaneous"}, {"text": "Lien Chan", "type": "person"}, {"text": "Beijing", "type": "location"}]} | {"entities": [{"text": "China on", "type": "location"}, {"text": "accused Taipei", "type": "location"}, {"text": "Taiwan", "type": "location"}, {"text": "Ukraine by", "type": "location"}, {"text": "by Taiwanese", "type": "miscellaneous"}, {"text": "Chan", "type": "person"}, {"text": "infuriated Beijing", "type": "locat... | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Chinese", "type": "miscellaneous"}, {"text": "Taiwan", "type": "location"}, {"text": "Foreign Ministry", "type": "organization"}, {"text": "Shen Guofang", "type": "person"}, {"text": "Reuters", "type": "organization"}, {"text": "Taiwan", "type": "location"}]} | {"entities": [{"text": "Chinese", "type": "miscellaneous"}, {"text": "Taiwan", "type": "miscellaneous"}, {"text": "Foreign Ministry", "type": "location"}, {"text": "Shen Guofang", "type": "person"}, {"text": "Reuters", "type": "person"}, {"text": "Taiwan", "type": "organization"}]} | wrong_entity_types | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "China", "type": "location"}, {"text": "Taipei", "type": "location"}, {"text": "Tang Shubei", "type": "person"}, {"text": "Taiwan", "type": "location"}]} | {"entities": [{"text": "Taipei", "type": "location"}, {"text": "Taiwan", "type": "location"}, {"text": "China", "type": "location"}]} | missing_entities | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "People 's Daily", "type": "organization"}, {"text": "Tang", "type": "person"}]} | {"entities": [{"text": "Tang", "type": "person"}]} | missing_entities | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Shen", "type": "organization"}, {"text": "Reuters Television", "type": "organization"}, {"text": "Tang", "type": "person"}, {"text": "Taiwan", "type": "location"}, {"text": "Beijing", "type": "location"}]} | {"entities": [{"text": "'s Shen", "type": "organization"}, {"text": "Television", "type": "organization"}, {"text": "Tang 's", "type": "person"}, {"text": "with Taiwan", "type": "location"}, {"text": "Beijing considers", "type": "location"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><location> China </location> , which has long opposed all <location> Taipei </location> efforts to gain greater international recognition , was infuriated by a visit to <location> Ukraine </location> this week by <miscellaneous> Taiwanese </miscellaneous> Vice President <person> Lien </person> .</response> | <response><location> China , </location> which has long opposed <location> all Taipei </location> efforts to gain greater international recognition , was infuriated by a visit to <location> Ukraine this </location> week <miscellaneous> by Taiwanese </miscellaneous> Vice <person> President Lien </person> .</response> | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "China", "type": "location"}, {"text": "Taiwan", "type": "location"}]} | {"entities": [{"text": "China", "type": "location"}]} | missing_entities | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "BEIJING", "type": "location"}]} | {"entities": [{"text": "BEIJING 1996-08-22", "type": "location"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "China", "type": "location"}, {"text": "Taiwan", "type": "location"}]} | {"entities": [{"text": "China", "type": "organization"}, {"text": "Taiwan", "type": "miscellaneous"}]} | wrong_entity_types | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>Consultations should be held to set the time and format of the talks , the official <organization> Xinhua </organization> news agency quoted <person> Tang Shubei </person> , executive vice chairman of the <organization> Association for Relations Across the Taiwan Straits </organization> , as saying late on We... | <response>Consultations should be held to set the time and format of the talks , the official <person> Xinhua </person> news agency quoted <miscellaneous> Tang Shubei </miscellaneous> , executive vice chairman of the <organization> Association for Relations Across the Taiwan Straits </organization> , as saying late on ... | wrong_entity_types | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "German", "type": "miscellaneous"}]} | {"entities": [{"text": "German", "type": "organization"}]} | wrong_entity_types | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "FRANKFURT", "type": "location"}]} | {"entities": [{"text": "FRANKFURT", "type": "person"}]} | wrong_entity_types | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><miscellaneous> German </miscellaneous> first-time registrations of motor vehicles jumped 14.2 percent in July this year from the year-earlier period , the <organization> Federal office for motor vehicles </organization> said on Thursday .</response> | <response><miscellaneous> German </miscellaneous> first-time registrations of motor vehicles jumped 14.2 percent in July this year from the year-earlier period , the <location> Federal office for motor vehicles </location> said on Thursday .</response> | wrong_entity_types | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>The growth was partly due to an increased number of <miscellaneous> Germans </miscellaneous> buying <miscellaneous> German </miscellaneous> cars abroad , while manufacturers said that domestic demand was weak , the federal office said .</response> | <response>The growth was partly due to an increased number of Germans buying <miscellaneous> German </miscellaneous> cars abroad , while manufacturers said that domestic demand was weak , the federal office said .</response> | missing_entities | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "German", "type": "miscellaneous"}]} | {"entities": [{"text": "German car", "type": "miscellaneous"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><organization> Volkswagen AG </organization> won 77,719 registrations , slightly more than a quarter of the total .</response> | <response><organization> Volkswagen </organization> AG won 77,719 registrations , slightly more than a quarter of the total .</response> | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><organization> Opel AG </organization> together with <organization> General Motors </organization> came in second place with 49,269 registrations , 16.4 percent of the overall figure .</response> | <response><organization> Opel AG </organization> together with General Motors came in second place with 49,269 registrations , 16.4 percent of the overall figure .</response> | missing_entities | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>Third was <organization> Ford </organization> with 35,563 registrations , or 11.7 percent .</response> | <response>Third <organization> was Ford </organization> with 35,563 registrations , or 11.7 percent .</response> | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>Only <organization> Seat </organization> and <organization> Porsche </organization> had fewer registrations in July 1996 compared to last year 's July .</response> | <response>Only <organization> Seat </organization> and Porsche had fewer registrations in July 1996 compared to last year 's July .</response> | missing_entities | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Seat", "type": "organization"}]} | {"entities": [{"text": "Seat", "type": "location"}]} | wrong_entity_types | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Porsche", "type": "organization"}]} | {"entities": [{"text": "Porsche", "type": "location"}]} | wrong_entity_types | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><miscellaneous> GREEK </miscellaneous> SOCIALISTS GIVE GREEN LIGHT TO PM FOR ELECTIONS .</response> | <response><miscellaneous> GREEK SOCIALISTS </miscellaneous> GIVE GREEN LIGHT TO PM FOR ELECTIONS .</response> | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><location> ATHENS </location> 1996-08-22</response> | <response><miscellaneous> ATHENS </miscellaneous> 1996-08-22</response> | wrong_entity_types | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>The <miscellaneous> Greek </miscellaneous> socialist party 's executive bureau gave the green light to Prime Minister <person> Costas Simitis </person> to call snap elections , its general secretary <person> Costas Skandalidis </person> told reporters .</response> | <response>The <location> Greek </location> socialist party 's executive bureau gave the green light to Prime Minister <person> Costas Simitis </person> to call snap elections , its general secretary <organization> Costas Skandalidis </organization> told reporters .</response> | wrong_entity_types | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>Prime Minister <person> Costas Simitis </person> is going to make an official announcement after a cabinet meeting later on Thursday , said <person> Skandalidis </person> .</response> | <response>Prime Minister <person> Costas Simitis </person> is going to make an official announcement after a cabinet meeting later on Thursday , said Skandalidis .</response> | missing_entities | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Dimitris Kontogiannis", "type": "person"}, {"text": "Athens Newsroom", "type": "organization"}]} | {"entities": [{"text": "Dimitris Kontogiannis", "type": "person"}]} | missing_entities | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><organization> BayerVB </organization> sets <miscellaneous> C$ </miscellaneous> 100 million six-year bond .</response> | <response><organization> BayerVB <miscellaneous> </organization> sets C$ </miscellaneous> 100 million six-year bond .</response> | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><location> LONDON </location> 1996-08-22</response> | <response><location> LONDON 1996-08-22 </location></response> | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Toronto Dominion", "type": "person"}]} | {"entities": [{"text": "Toronto", "type": "person"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "BAYERISCHE VEREINSBANK", "type": "organization"}]} | {"entities": [{"text": "BAYERISCHE", "type": "organization"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "C$", "type": "miscellaneous"}]} | {"entities": [{"text": "C$", "type": "organization"}]} | wrong_entity_types | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "S&P", "type": "organization"}, {"text": "US", "type": "location"}, {"text": "UK", "type": "location"}, {"text": "CA", "type": "location"}]} | {"entities": [{"text": "S&P", "type": "organization"}, {"text": "UK", "type": "location"}, {"text": "CA", "type": "location"}]} | missing_entities | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "GERMAN", "type": "miscellaneous"}]} | {"entities": [{"text": "LAW GERMAN", "type": "miscellaneous"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "BAYERISCHE VEREINSBANK", "type": "organization"}]} | {"entities": [{"text": "BAYERISCHE", "type": "organization"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>-- <organization> London Newsroom </organization> +44 171 542 7658</response> | <response>-- <organization> London Newsroom +44 </organization> 171 542 7658</response> | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><organization> Venantius </organization> sets $ 300 million January 1999 FRN .</response> | <response><miscellaneous> Venantius </miscellaneous> sets $ 300 million January 1999 FRN .</response> | wrong_entity_types | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "LONDON", "type": "location"}]} | {"entities": [{"text": "LONDON", "type": "organization"}]} | wrong_entity_types | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>The following floating-rate issue was announced by lead manager <organization> Lehman Brothers International </organization> .</response> | <response>The following floating-rate issue was announced by lead manager Lehman <organization> Brothers International </organization> .</response> | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>TYPE FRN BASE <organization> 3M </organization> LIBOR PAY DATE S23.SEP.96</response> | <response>TYPE FRN <organization> BASE 3M </organization> LIBOR PAY DATE S23.SEP.96</response> | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "S&P", "type": "organization"}]} | {"entities": [{"text": "LAST S&P", "type": "organization"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>GOV LAW <miscellaneous> ENGLISH </miscellaneous> HOME CTRY <location> SWEDEN </location> TAX PROVS STANDARD</response> | <response>GOV LAW <miscellaneous> ENGLISH </miscellaneous> HOME CTRY <person> SWEDEN </person> TAX PROVS STANDARD</response> | wrong_entity_types | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "London Newsroom", "type": "organization"}]} | {"entities": [{"text": "London Newsroom", "type": "person"}]} | wrong_entity_types | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>Port conditions update - <location> Syria </location> - <organization> Lloyds Shipping </organization> .</response> | <response>Port conditions update - <location> Syria </location> - Lloyds Shipping .</response> | missing_entities | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>Port conditions from <organization> Lloyds Shipping Intelligence Service </organization> --</response> | <response>Port conditions from <miscellaneous> Lloyds Shipping Intelligence Service </miscellaneous> --</response> | wrong_entity_types | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "LATTAKIA", "type": "location"}, {"text": "Lattakia", "type": "location"}, {"text": "Tartous", "type": "location"}]} | {"entities": [{"text": "LATTAKIA", "type": "person"}, {"text": "Lattakia", "type": "person"}, {"text": "Tartous", "type": "person"}]} | wrong_entity_types | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><location> Israel </location> plays down fears of war with <location> Syria </location> .</response> | <response><location> Israel plays </location> down fears of war <location> with Syria </location> .</response> | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><person> Colleen Siegel </person></response> | <response>Colleen <person> Siegel </person></response> | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "JERUSALEM", "type": "location"}]} | {"entities": [{"text": "JERUSALEM", "type": "organization"}]} | wrong_entity_types | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Israel", "type": "location"}, {"text": "Syria", "type": "location"}]} | {"entities": [{"text": "Israel", "type": "location"}, {"text": "Syria", "type": "miscellaneous"}]} | wrong_entity_types | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><person> Itamar Rabinovich </person> , who as <location> Israel </location> 's ambassador to <location> Washington </location> conducted unfruitful negotiations with <location> Syria </location> , told <organization> Israel Radio </organization> it looked like <location> Damascus </location> wanted to talk ra... | <response><person> Itamar Rabinovich , </person> who as <location> Israel 's </location> ambassador to <location> Washington conducted </location> unfruitful negotiations with <location> Syria , </location> told <organization> Israel Radio it </organization> looked <location> like Damascus </location> wanted to talk ra... | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Syrian", "type": "miscellaneous"}]} | {"entities": [{"text": "the Syrian", "type": "miscellaneous"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Syrians", "type": "miscellaneous"}, {"text": "Washington", "type": "location"}]} | {"entities": [{"text": "The Syrians", "type": "miscellaneous"}, {"text": "in Washington", "type": "location"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Rabinovich", "type": "person"}]} | {"entities": [{"text": "Rabinovich is", "type": "person"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Eliahu Ben-Elissar", "type": "person"}, {"text": "Israeli", "type": "miscellaneous"}, {"text": "Egypt", "type": "location"}, {"text": "Likud", "type": "organization"}]} | {"entities": [{"text": "Ben-Elissar", "type": "person"}, {"text": "Israeli envoy", "type": "miscellaneous"}, {"text": "to Egypt", "type": "location"}, {"text": "right-wing Likud", "type": "organization"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Israel", "type": "location"}, {"text": "Syria", "type": "location"}, {"text": "Washington", "type": "location"}]} | {"entities": [{"text": "Israel on", "type": "location"}, {"text": "sent Syria", "type": "location"}, {"text": "Washington ,", "type": "location"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Damascus", "type": "location"}]} | {"entities": [{"text": "slammed Damascus", "type": "location"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Syria", "type": "location"}, {"text": "Israel", "type": "location"}, {"text": "Israeli", "type": "miscellaneous"}, {"text": "Damascus", "type": "location"}]} | {"entities": [{"text": "Syria", "type": "location"}, {"text": "Israel", "type": "location"}, {"text": "Israeli", "type": "organization"}, {"text": "Damascus", "type": "location"}]} | wrong_entity_types | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Syrian", "type": "miscellaneous"}, {"text": "Hafez al-", "type": "person"}, {"text": "Assad", "type": "person"}, {"text": "Israel", "type": "location"}, {"text": "Israeli", "type": "miscellaneous"}, {"text": "David Levy", "type": "person"}, {"text": "Israel Radio", "type": "organization"}]} | {"entities": [{"text": "Syrian President", "type": "miscellaneous"}, {"text": "President Hafez al-", "type": "person"}, {"text": "Assad is", "type": "person"}, {"text": "that Israel", "type": "location"}, {"text": "Israeli Foreign", "type": "miscellaneous"}, {"text": "Minister David Levy", "type": "person"}, {"text": "... | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Israeli", "type": "miscellaneous"}, {"text": "Benjamin Netanyahu", "type": "person"}, {"text": "Golan Heights", "type": "location"}, {"text": "Israel", "type": "location"}, {"text": "Syria", "type": "location"}, {"text": "Middle East", "type": "location"}]} | {"entities": [{"text": "Israel", "type": "location"}, {"text": "Golan Heights", "type": "location"}]} | missing_entities | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><miscellaneous> Israeli-Syrian </miscellaneous> peace talks have been deadlocked over the <location> Golan </location> since 1991 despite the previous government 's willingness to make <location> Golan </location> concessions .</response> | <response>Israeli-Syrian peace talks have been deadlocked over the <location> Golan </location> since 1991 despite the previous government 's willingness to make Golan concessions .</response> | missing_entities | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Damascus", "type": "location"}]} | {"entities": [{"text": "of Damascus", "type": "location"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>this artificial atmosphere is very dangerous because those who spread it could become its prisoners , " <person> Levy </person> said .</response> | <response>this artificial atmosphere is very dangerous because those who spread it could become its prisoners , " <person> Levy said </person> .</response> | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>" We expect from <location> Syria </location> , if its face is to peace , that it will answer <location> Israel </location> 's message to enter peace negotiations because that is our goal , " he said . "</response> | <response>" We expect from <location> Syria , </location> if its face is to peace , that it will <location> answer Israel </location> 's message to enter peace negotiations because that is our goal , " he said . "</response> | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "God", "type": "person"}]} | {"entities": [{"text": "God forbid", "type": "person"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Israel", "type": "location"}, {"text": "Channel Two", "type": "organization"}, {"text": "Damascus", "type": "location"}, {"text": "Israel", "type": "location"}]} | {"entities": [{"text": "Israel 's", "type": "location"}, {"text": "Channel", "type": "organization"}, {"text": "Damascus had", "type": "location"}, {"text": "to Israel", "type": "location"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Netanyahu", "type": "person"}, {"text": "Levy", "type": "person"}]} | {"entities": [{"text": "Netanyahu and", "type": "person"}, {"text": "and Levy", "type": "person"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Netanyahu", "type": "person"}, {"text": "Syria", "type": "location"}, {"text": "Cairo", "type": "location"}, {"text": "United States", "type": "location"}, {"text": "Moscow", "type": "location"}]} | {"entities": [{"text": "Moscow", "type": "location"}, {"text": "Cairo", "type": "location"}]} | missing_entities | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Polish", "type": "miscellaneous"}, {"text": "Libya", "type": "location"}]} | {"entities": [{"text": "Polish diplomat", "type": "miscellaneous"}, {"text": "Libya .", "type": "location"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><location> TUNIS </location> 1996-08-22</response> | <response><location> TUNIS 1996-08-22 </location></response> | incorrect_spans | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response>A <miscellaneous> Polish </miscellaneous> diplomat on Thursday denied a <miscellaneous> Polish </miscellaneous> tabloid report this week that <location> Libya </location> was refusing exit visas to 100 <miscellaneous> Polish </miscellaneous> nurses trying to return home after working in the <miscellaneous> No... | <response>A Polish diplomat on Thursday denied a <miscellaneous> Polish </miscellaneous> tabloid report this week that <location> Libya </location> was refusing exit visas to 100 Polish nurses trying to return home after working in the <miscellaneous> North African </miscellaneous> country .</response> | missing_entities | inline | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | {"entities": [{"text": "Libya", "type": "location"}, {"text": "Polish", "type": "miscellaneous"}, {"text": "Tripoli", "type": "location"}, {"text": "Tadeusz Awdankiewicz", "type": "person"}, {"text": "Reuters", "type": "organization"}]} | {"entities": [{"text": "in Libya", "type": "location"}, {"text": "Polish embassy", "type": "miscellaneous"}, {"text": "Tripoli ,", "type": "location"}, {"text": "Tadeusz Awdankiewicz ,", "type": "person"}, {"text": "told Reuters", "type": "organization"}]} | incorrect_spans | json | extraordinarylab/conll2003 |
You are a named entity recognition system that identifies the following entity types:
- person: Names of people, including first and last names
- organization: Names of companies, institutions, organizations, etc.
- location: Names of locations, cities, states, countries, etc.
- miscellaneous: Miscellaneous entities no... | <response><location> Poland </location> 's labour ministry said this week it would send a team to <location> Libya </location> to investigate , but <person> Awdankiewicz </person> said the probe was prompted by some nurses complaining about their work conditions such as non-payment of their salaries .</response> | <response><location> Poland 's </location> labour ministry said this week it would send a team <location> to Libya </location> to investigate , <person> but Awdankiewicz </person> said the probe was prompted by some nurses complaining about their work conditions such as non-payment of their salaries .</response> | incorrect_spans | inline | extraordinarylab/conll2003 |
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