===============================
Datasets for Entity Recognition
===============================
This repository contains datasets from several domains
annotated with a variety of entity types, useful for entity recognition and
named entity recognition (NER) tasks.
Datasets for NER in English
===========================
.. |check| unicode:: 0x2714
The following table shows the list of datasets for English-language entity recognition (for a list of NER datasets in other languages, see below). The `data` directory
contains information on where to obtain those datasets which could not be shared
due to licensing restrictions, as well as code to convert them (if necessary)
to the CoNLL 2003 format. Links to NER corpora in other languages
are also listed below.
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Dataset Domain License Reference Availablility
============== =============== ======================= =============================== ==================================
CONLL 2003 News DUA Sang and Meulder, 2003 `Easy <https://github.com/patverga/torch-ner-nlp-from-scratch/tree/master/data/conll2003/>`_ `to <https://github.com/synalp/NER/tree/master/corpus/CoNLL-2003>`_ `find <https://github.com/glample/tagger/tree/master/dataset>`_
NIST-IEER News None NIST 1999 IE-ER `NLTK data <https://raw.githubusercontent.com/nltk/nltk_data/gh-pages/packages/corpora/ieer.zip>`_
MUC-6 News LDC Grishman and Sundheim, 1996 `LDC 2003T13 <https://catalog.ldc.upenn.edu/LDC2003T13>`_
OntoNotes 5 Various LDC Weischedel et al., 2013 `LDC 2013T19 <https://catalog.ldc.upenn.edu/LDC2013T19>`_
BBN Various LDC Weischedel and Brunstein, 2005 `LDC 2005T33 <https://catalog.ldc.upenn.edu/LDC2005T33>`_
GMB-1.0.0 Various None Bos et al., 2017 `http://gmb.let.rug.nl/data.php <http://gmb.let.rug.nl/releases/gmb-1.0.0.zip>`_
GUM-3.1.0 Wiki Several (*2) Zeldes, 2016 |check| Included here
wikigold Wikipedia CC-BY 4.0 Balasuriya et al., 2009 |check| Included here
Ritter Twitter None Ritter et al., 2011 `No split <https://github.com/aritter/twitter_nlp/blob/master/data/annotated/ner.txt>`_ , `Train/test/dev split <https://github.com/aritter/twitter_nlp/tree/master/data/annotated/wnut16/data>`_
BTC Twitter CC-BY 4.0 Derczynski et al., 2016 |check| Included here
WNUT17 Social media CC-BY 4.0 Derczynski et al., 2017 |check| Included here
i2b2-2006 Medical DUA Uzuner et al., 2007 `http://www.i2b2.org <https://www.i2b2.org/NLP/DataSets/Main.php>`_
i2b2-2014 Medical DUA Stubbs et al., 2015 `http://www.i2b2.org <https://www.i2b2.org/NLP/DataSets/Main.php>`_
CADEC Medical CSIRO Karimi et al., 2015 http://data.csiro.au/
AnEM Anatomical CC-BY-SA 3.0 Ohta et al., 2012 |check| Included here
MITRestaurant Queries None Liu et al., 2013a `http://groups.csail.mit.edu/sls/ <https://groups.csail.mit.edu/sls/downloads/restaurant/>`_
MITMovie Queries None Liu et al., 2013b `http://groups.csail.mit.edu/sls/ <https://groups.csail.mit.edu/sls/downloads/movie/>`_
MalwareTextDB Malware None Lim et al., 2017 `http://www.statnlp.org/ <http://www.statnlp.org/research/re/MalwareTextDB-1.0.zip>`_
re3d Defense Several (*1) DSTL, 2017 |check| Included here
SEC-filings Finance CC-BY 3.0 Alvarado et al., 2015 |check| Included here
Assembly Robotics X Costa et al., 2017 X
============== =============== ======================= =============================== ==================================
Licenses
========
Notes on licenses:
(1) re3d ("Relationship and Entity Extraction Evaluation Dataset") contains
several datasets, with different licenses. These are:
- CC-BY-SA 3.0 (Wikipedia dataset)
- CC BY-NC 3.0 (BBC_Online dataset)
- CC BY 3.0 AU (Australian_Department_of_Foreign_Affairs dataset)
- public domain (US_State_Department dataset, CENTCOM dataset)
- UK Open Government Licence v3.0 (UK_Government dataset)
- Delegation_of_the_European_Union_to_Syria: see
https://eeas.europa.eu/delegations/syria/8157/legal-notice_en
(2) GUM 3.1.0 comprises three datasets, with licenses CC-BY 3.0, CC-BY-SA 3.0 and
CC-BY-NC-SA 3.0. The annotations are licensed under CC-BY 4.0.
More detailed license information for each dataset can be found in
the corresponding subdirectory.
Later ...
- Tabassum et al., Code and Named Entity Recognition in StackOverflow https://cocoxu.github.io/publications/ACL2020_stackoverflow_NER.pdf
- LitBank: https://github.com/dbamman/litbank (Bamman, Popat and Shen, An Annotated Dataset of Literary Entities, NAACL 2019)
- NNE: A Dataset for Nested Named Entity Recognition in English Newswire, 2019 https://github.com/nickyringland/nested_named_entities
- Mars Target Encyclopedia - LPSC abstracts labeled data set: https://zenodo.org/record/1048419#.W5a2CBwnZhE
- Best Buy queries: https://www.kaggle.com/dataturks/best-buy-ecommerce-ner-dataset/home
- Resume entities for NER: https://www.kaggle.com/dataturks/resume-entities-for-ner/home
Datasets for NER in other languages
===================================
Lexical Named Entity resources
------------------------------
- HeiNER: http://heiner.cl.uni-heidelberg.de/index.shtml
- NECKAr: https://event.ifi.uni-heidelberg.de/?page_id=532#Wikidata_NE_dataset
Code-Switching
--------------
- English-Spanish tweets (CALCS 2018): https://code-switching.github.io/2018/ ; https://code-switching.github.io/2018/files/spa-eng/Release.zip ; http://www.aclweb.org/anthology/W18-3219
- Arabic-Egyptian tweets (CALCS 2018): https://code-switching.github.io/2018/ ; https://code-switching.github.io/2018/files/msa-egy/ArabicTweetsTokenAssigner.zip ; http://www.aclweb.org/anthology/W18-3219
- Hindi-English social media text: https://github.com/SilentFlame/Named-Entity-Recognition ; http://aclweb.org/anthology/W18-2405
- EMNLP 2014 Shared Task - Code-Switched Tweets (Nepali-English, Spanish-English, Mandarin-English, Arabic-Arabic dialects): http://emnlp2014.org/workshops/CodeSwitch/call.html
German
------
- CoNLL 2003 (English, German): https://www.clips.uantwerpen.be/conll2003/ner/
- GermEval 2014: https://sites.google.com/site/germeval2014ner/data
- Tübingen Treebank of Written German (TüBa-D/Z): http://www.sfs.uni-tuebingen.de/en/ascl/resources/corpora/tueba-dz.html
- Europeana Newspapers (Dutch, French, German): https://github.com/EuropeanaNewspapers/ner-corpora ; http://lab.kb.nl/dataset/europeana-newspapers-ner#access
- German EUROPARL transcripts (subset): https://nlpado.de/~sebastian/software/ner_german.shtml
- Named Entity Model for German, Politics (NEMGP): https://www.thomas-zastrow.de/nlp/
- WikiNER: https://figshare.com/articles/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500
- DFKI SmartData Corpus (geo-entities): https://dfki-lt-re-group.bitbucket.io/smartdata-corpus/ (A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events. Martin Schiersch, Veselina Mironova, Maximilian Schmitt, Philippe Thomas, Aleksandra Gabryszak, Leonhard Hennig. Proceedings of LREC, 2018)
- DBpedia abstract corpus (English, German, Dutch, French, Italian, Japanese): http://downloads.dbpedia.org/2015-04/ext/nlp/abstracts/
- DAWT dataset - Densely Annotated Wikipedia Texts across multiple languages (English, Spanish, French, Italian, German, Arabic): https://github.com/klout/opendata/tree/master/wiki_annotation
- Elena Leitner, Georg Rehm, Juli ́an Moreno-Schneider, A Dataset of German Legal Documents for Named Entity Recognition, LREC 2020: http://georg-re.hm/pdf/LREC-2020-Leitner-et-al-preprint.pdf ; Data: https://github.com/elenanereiss/Legal-Entity-Recognition
Dutch
-----
- CoNLL 2002 (Spanish, Dutch): https://www.clips.uantwerpen.be/conll2002/ner/
- Europeana Newspapers (Dutch, French, German): https://github.com/EuropeanaNewspapers/ner-corpora ; http://lab.kb.nl/dataset/europeana-newspapers-ner#access
- MEANTIME Corpus (Parallel corpus: English, Spanish, Italian, Dutch): http://www.newsreader-project.eu/results/data/wikinews/
- WikiNER: https://figshare.com/articles/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500
- DBpedia abstract corpus (English, German, Dutch, French, Italian, Japanese): http://downloads.dbpedia.org/2015-04/ext/nlp/abstracts/
- Dutch parliamentary documents 2015-2016, from 1848.nl (Jonkers, Named Entity Recognition on Dutch Parliamentary Documents using Frog, thesis, University of Amsterdam, 2016): https://github.com/Poezedoez/NER/blob/master/Code/data/lobby/golden_standard
- SONAR 1 - Desmet and Hoste, Fine-grained Dutch named entity recognition, 2014 (hierarchy of classes)
- Corpus-SONAR books and Corpus Gutenberg Dutch: http://blog.namescape.nl/?page_id=85 ; http://portal.clarin.nl/node/1940
Afrikaans
---------
- NCHLT Afrikaans Named Entity Annotated Corpus: https://repo.sadilar.org/handle/20.500.12185/299
Spanish
-------
- CoNLL 2002 (Spanish, Dutch): https://www.clips.uantwerpen.be/conll2002/ner/
- AnCora (Spanish, Catalan): http://clic.ub.edu/corpus/en
- DEFT Spanish Treebank (LDC2018T01): https://catalog.ldc.upenn.edu/LDC2018T01
- PANACEA (LAB): http://panacea-lr.eu/en/info-for-researchers/data-sets/dependency-parsed-corpora/dependency-lab-es
- PANACEA (ENV): http://panacea-lr.eu/en/info-for-researchers/data-sets/dependency-parsed-corpora/dependency-env-es
- MEANTIME Corpus (Parallel corpus: English, Spanish, Italian, Dutch): http://www.newsreader-project.eu/results/data/wikinews/
- ACE 2007 (Spanish and Arabic): https://catalog.ldc.upenn.edu/LDC2014T18
- WikiNER: https://figshare.com/articles/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500
- http://www.grupolys.org/~marcos/pub/lrec16.tar.bz2 (used in "Incorporating Lexico-semantic Heuristics into Coreference Resolution Sieves for Named Entity Recognition at Document-level")
- Multilingual corpora with coreferential annotation of person entities (Spanish, Galician, Portuguese): http://gramatica.usc.es/~marcos/lrec.tar.bz2
- DrugSemantics Gold Standard (Moreno et al., DrugSemantics: A corpus for Named Entity Recognition in Spanish Summaries of Product Characteristics, 2017): https://data.mendeley.com/datasets/fwc7jrc5jr/1
- DBpedia abstract corpus (English, German, Dutch, French, Italian, Japanese): http://downloads.dbpedia.org/2015-04/ext/nlp/abstracts/
- DAWT dataset - Densely Annotated Wikipedia Texts across multiple languages (English, Spanish, French, Italian, German, Arabic): https://github.com/klout/opendata/tree/master/wiki_annotation
- CANTEMIST (CANcer TExt Mining Shared Task – tumor named entity recognition) - named entity recognition of a critical type of concept related to cancer, namely tumor morphology in Spanish medical texts: https://temu.bsc.es/cantemist/
Catalan
-------
- AnCora (Spanish, Catalan): http://clic.ub.edu/corpus/en
Galician
--------
- Galician NER corpus: https://gramatica.usc.es/~marcos/resources/corpus_gal_nec.txt.gz
- Multilingual corpora with coreferential annotation of person entities (Spanish, Galician, Portuguese): http://gramatica.usc.es/~marcos/lrec.tar.bz2
Basque
------
- Basque Named Entities Corpus (EIEC): http://ixa.eus/node/4486?language=en
- Basque Disambiguated Named Entities Corpus (EDIEC): http://ixa.si.ehu.es/node/4485?language=en
- Egunkaria 2000 corpus (383 newswire texts), mentioned in http://qtleap.eu/wp-content/uploads/2014/04/QTLEAP-2013-D5.1.pdf
Portuguese
----------
- HAREM: https://www.linguateca.pt/aval_conjunta/HAREM/harem_ing.html
- CINTIL corpus: http://cintil.ul.pt/cintilfeatures.html#corpus
- WikiNER: https://figshare.com/articles/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500
- Multilingual corpora with coreferential annotation of person entities (Spanish, Galician, Portuguese): http://gramatica.usc.es/~marcos/lrec.tar.bz2
- Bosque 8.0 EAGLES format: https://gramatica.usc.es/~marcos/resources/corpora_FLpt.tgz
- LeNER-Br (Brazilian legal documents): https://cic.unb.br/~teodecampos/LeNER-Br/
- Paramopama: a Brazilian-Portuguese Corpus for Named Entity Recognition
French
------
- ESTER: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0241/
- ESTER 2: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0338/
- ETAPE: http://catalogue.elra.info/en-us/repository/browse/ELRA-E0046/
- Europeana Newspapers (Dutch, French, German): https://github.com/EuropeanaNewspapers/ner-corpora ; http://lab.kb.nl/dataset/europeana-newspapers-ner#access
- QUAERO French Medical Corpus: https://quaerofrenchmed.limsi.fr/
- Quaero Broadcast News Extended Named Entity Corpus: http://catalog.elra.info/en-us/repository/browse/ELRA-S0349/
- Quaero Old Press Extended Named Entity corpus: http://catalog.elra.info/en-us/repository/browse/ELRA-W0073/
- WikiNER: https://figshare.com/articles/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500
- DBpedia abstract corpus (English, German, Dutch, French, Italian, Japanese): http://downloads.dbpedia.org/2015-04/ext/nlp/abstracts/
- DAWT dataset - Densely Annotated Wikipedia Texts across multiple languages (English, Spanish, French, Italian, German, Arabic): https://github.com/klout/opendata/tree/master/wiki_annotation
- CAp 2017 - (Twitter data), Lopez et al., CAp 2017 challenge: Twitter Named Entity Recognition, 2017: http://cap2017.imag.fr/competition.html
Italian
-------
- Evalita: http://www.evalita.it/2009/tasks/entity
- MEANTIME Corpus (Parallel corpus: English, Spanish, Italian, Dutch): http://www.newsreader-project.eu/results/data/wikinews/
- PANACEA (ENV): http://panacea-lr.eu/en/info-for-researchers/data-sets/dependency-parsed-corpora/dependency-env-it
- PANACEA (LAB): http://panacea-lr.eu/en/info-for-researchers/data-sets/dependency-parsed-corpora/dependency-lab-it
- WikiNER: https://figshare.com/articles/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500
- DBpedia abstract corpus (English, German, Dutch, French, Italian, Japanese): http://downloads.dbpedia.org/2015-04/ext/nlp/abstracts/
- DAWT dataset - Densely Annotated Wikipedia Texts across multiple languages (English, Spanish, French, Italian, German, Arabic): https://github.com/klout/opendata/tree/master/wiki_annotation
Romanian
--------
- RONEC (Dumitrescu and Avram, Introducing RONEC - the Romanian Named Entity Corpus. LREC 2020). Paper: https://arxiv.org/pdf/1909.01247.pdf Data: https://github.com/dumitrescustefan/ronec
- Romanian journalistic corpus (ROCO): http://metashare.elda.org/repository/browse/romanian-journalistic-corpus-roco/038baa80dc7311e5aa0b00237df3e3583781d7c0f2084057aa018a2d63d987e9/
- Romanian Balanced Corpus (ROMBAC): http://metashare.elda.org/repository/browse/romanian-balanced-corpus-rombac/0a7dd85edc7311e5aa0b00237df3e35873a0d662435d42dd94fba48c29dc0065/
Greek
-----
- PANACEA (ENV): http://panacea-lr.eu/en/info-for-researchers/data-sets/dependency-parsed-corpora/dependency-env-el
- PANACEA (LAB): http://panacea-lr.eu/en/info-for-researchers/data-sets/dependency-parsed-corpora/dependency-lab-el
Hungarian
---------
- Hungarian Named Entity Corpora: http://rgai.inf.u-szeged.hu/index.php?lang=en&page=corpus_ne
- hunNERwiki: http://hlt.sztaki.hu/resources/hunnerwiki.html
Czech
-----
- Czech Named Entity Corpus: http://ufal.mff.cuni.cz/cnec
- BSNLP 2017 (Croatian, Czech, Polish, Russian, Slovak, Slovene, Ukrainian): http://bsnlp-2017.cs.helsinki.fi/shared_task_results.html
- CzEng 1.0 (Parallel corpus: Czech-English): http://ufal.mff.cuni.cz/czeng/czeng10
Polish
------
- The Polish Sejm Corpus: http://clip.ipipan.waw.pl/PSC
- BSNLP 2017 (Croatian, Czech, Polish, Russian, Slovak, Slovene, Ukrainian): http://bsnlp-2017.cs.helsinki.fi/shared_task_results.html
- Polish Coreference Corpus: http://zil.ipipan.waw.pl/PolishCoreferenceCorpus
- WikiNER: https://figshare.com/articles/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500
- Corpus of Economic News (CEN Corpus): http://www.nlp.pwr.wroc.pl/narzedzia-i-zasoby/zasoby/cen
- KPWr (Korpus Języka Polskiego Politechniki Wrocławskiej/Polish Corpus of Wrocław University of Technology): http://plwordnet.pwr.wroc.pl/index.php?option=com_content&view=article&id=35&Itemid=181&lang=pl ; http://plwordnet.pwr.wroc.pl/attachments/article/35/kpwr-1.1.7z (Broda et al., KPWr: Towards a Free Corpus of Polish, 2012)
Croatian
--------
- hr500k 1.0: http://hdl.handle.net/11356/1183
- BSNLP 2017 (Croatian, Czech, Polish, Russian, Slovak, Slovene, Ukrainian): http://bsnlp-2017.cs.helsinki.fi/shared_task_results.html
- ReLDI-NormTagNER-hr (Croatian tweets): http://hdl.handle.net/11356/1170
Slovak
------
- BSNLP 2017 (Croatian, Czech, Polish, Russian, Slovak, Slovene, Ukrainian): http://bsnlp-2017.cs.helsinki.fi/shared_task_results.html
- Slovak Categorized News Corpus: https://nlp.web.tuke.sk/pages/categorizednews
Slovene
-------
- BSNLP 2017 (Croatian, Czech, Polish, Russian, Slovak, Slovene, Ukrainian): http://bsnlp-2017.cs.helsinki.fi/shared_task_results.html
- ssj500k: http://www.slovenscina.eu/tehnologije/ucni-korpus ; http://eng.slovenscina.eu/tehnologije/ucni-korpus ; https://www.clarin.si/repository/xmlui/handle/11356/1029 ; NOTE: for v 2.2 see: http://hdl.handle.net/11356/1210
- Slovene news: http://zitnik.si/mediawiki/index.php?title=Datasets#Slovene_news ; http://zitnik.si/mediawiki/images/7/7d/Rtvslo_dec2011.tsv ; http://zitnik.si/mediawiki/images/5/5e/Rtvslo_dec2011_v2.tsv
- Janes-Tag 2.0 (social media text) https://www.clarin.si/repository/xmlui/handle/11356/1123 ; see also: Fišer et al., The Janes project: language resources and tools for Slovene user generated content, 2018.
Ukrainian
---------
- BSNLP 2017 (Croatian, Czech, Polish, Russian, Slovak, Slovene, Ukrainian): http://bsnlp-2017.cs.helsinki.fi/shared_task_results.html
- Ukrainian Brown NER Corpus: https://github.com/lang-uk/ner-uk ; http://lang.org.ua/en/corpora/
Serbian
-------
- SETimes.SR - http://hdl.handle.net/11356/1200
- Named Entities evaluation corpus for Serbian: http://www.korpus.matf.bg.ac.rs/SrpNEval/
- ReLDI-NormTagNER-sr (Serbian tweets): http://hdl.handle.net/11356/1171
Bulgarian
---------
- BulTreeBank (BTB)
Icelandic
---------
- MIM-GOLD-NER (Ingólfsdóttir, Svanhvít Lilja, Sigurjón Þorsteinsson, and Hrafn Loftsson. "Towards High Accuracy Named Entity Recognition for Icelandic." Proceedings of the 22nd Nordic Conference on Computational Linguistics. 2019): http://www.malfong.is/index.php?pg=mim_gold_ner
Danish
------
- DaNE: Hvingelby et al., [DaNE: A Named Entity Resource for Danish.](http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.565.pdf), LREC 2020: https://github.com/alexandrainst/danlp/
- Danish Propbank (DPB): http://catalog.elra.info/en-us/repository/browse/ELRA-W0117/
- Arboretum treebank: http://catalog.elra.info/en-us/repository/browse/ELRA-W0084/
Norwegian
---------
- Bjarte Johansen, Named-Entity Recognition for Norwegian, Proceedings of the 22nd Nordic Conference on Computational Linguistics. 2019 (https://www.aclweb.org/anthology/W19-6123.pdf) Data: https://github.com/ljos/navnkjenner
- Fredrik Jørgensen et al., NorNE: Annotating Named Entities for Norwegian, 2019 (https://arxiv.org/pdf/1911.12146.pdf). Data: https://github.com/ltgoslo/norne/ ; https://www.nb.no/sprakbanken/show?serial=oai%3Anb.no%3Asbr-49
Swedish
-------
- Stockholm Internet Corpus: https://www.ling.su.se/english/nlp/corpora-and-resources/sic
- SUC 3.0: https://spraakbanken.gu.se/eng/resource/suc3
- Swedish manually annotated NER: https://github.com/klintan/swedish-ner-corpus/
- Medical wikipedia data (Almgren et al., Named Entity Recognition in Swedish Health Records with Character-Based Deep Bidirectional LSTMs, 2016): https://github.com/olofmogren/biomedical-ner-data-swedish
Finnish
-------
- data sets for Finnish Named Entity Recoginition: https://github.com/mpsilfve/finer-data
Estonian
--------
- Estonian NER corpus: https://metashare.ut.ee/repository/browse/estonian-ner-corpus/88d030c0acde11e2a6e4005056b40024f1def472ed254e77a8952e1003d9f81e/
Latvian and Lithuanian
----------------------
- https://github.com/accurat-toolkit/TildeNER/tree/master/TEST (Pinnis, Latvian and Lithuanian Named Entity Recognition with TildeNER, LREC 2012)
- Training data for the LV Tagger: https://github.com/PeterisP/LVTagger/tree/master/NerTrainingData
Turkish
-------
- K̈ucuk and Can, A Tweet Dataset Annotated for Named Entity Recognition and Stance Detection, 2019: https://github.com/dkucuk/Tweet-Dataset-NER-SD
- K̈ucuk et al., Named Entity Recognition on Turkish Tweets: http://optima.jrc.it/Resources/2014_JRC_Twitter_TR_NER-dataset.zip
- English/Turkish Wikipedia Named-Entity Recognition and Text Categorization Dataset (http://arxiv.org/abs/1702.02363): https://data.mendeley.com/datasets/cdcztymf4k/1
Uyghur
------
- Uyghur Named Entity Relation corpus: https://github.com/kaharjan/UyNeRel (Abiderexiti et al., Annotation Schemes for Constructing Uyghur Named Entity Relation Corpus. IALP 2016)
Armenian
--------
- pioNER (gold-standard and silver-standard datasets): https://github.com/ispras-texterra/pioner (Ghukasyan et al., pioNER: Datasets and Baselines for Armenian Named Entity Recognition, 2018)
Coptic
------
- The Coptic Universal Dependency Treebank: https://github.com/UniversalDependencies/UD_Coptic-Scriptorium/tree/dev (see also https://copticscriptorium.org/treebank.html). This contains 46,000 tokens of nested (non-)named and Wikified entities from Sahidic Coptic texts.
Amharic
-------
- SAY corpus (see "Named entity recognition for Amharic using deep learning"): https://github.com/geezorg/data/tree/master/amharic/tagged/nmsu-say ; http://data.geez.org/
Arabic
------
- AQMAR Arabic Wikipedia Named Entity Corpus: http://www.cs.cmu.edu/~ark/ArabicNER/
- NE3L named entities Arabic corpus (Arabic, Chinese, Russian): http://catalog.elra.info/en-us/repository/browse/ELRA-W0078/
- REFLEX Entity Translation (Parallel corpus: English, Arabic, Chinese): https://catalog.ldc.upenn.edu/LDC2009T11
- ANERCorp: http://users.dsic.upv.es/~ybenajiba/downloads.html (See also: http://alias-i.com/lingpipe/demos/tutorial/ne/read-me.html)
- ACE 2003 (English, Chinese, Arabic): https://catalog.ldc.upenn.edu/LDC2004T09
- ACE 2004 (English, Chinese, Arabic): https://catalog.ldc.upenn.edu/LDC2005T09
- ACE 2005 (English, Chinese, Arabic): https://catalog.ldc.upenn.edu/LDC2006T06
- ACE 2007 (Spanish and Arabic): https://catalog.ldc.upenn.edu/LDC2014T18
- OntoNotes 5 (English, Arabic, Chinese): https://catalog.ldc.upenn.edu/LDC2013T19
- DAWT dataset - Densely Annotated Wikipedia Texts across multiple languages (English, Spanish, French, Italian, German, Arabic): https://github.com/klout/opendata/tree/master/wiki_annotation
Persian
-------
- ArmanPersoNERCorpus: http://islrn.org/resources/399-379-640-828-6/ ; https://github.com/HaniehP/PersianNER
Urdu
----
- IJCNLP 2008 SSEAL: http://ltrc.iiit.ac.in/ner-ssea-08/index.cgi?topic=5
- UNER Dataset (Khan et al., Named Entity Dataset for Urdu Named Entity Recognition Task, 2016). Available at http://www.iiu.edu.pk/?page_id=5181
- MK-PUCIT: https://www.dropbox.com/sh/1ivw7ykm2tugg94/AAB9t5wnN7FynESpo7TjJW8la ; see: Kanwal et al., Urdu Named Entity Recognition: Corpus Generationand Deep Learning Applications, 2019
Hindi
-----
- Hindi Health Dataset: https://www.kaggle.com/aijain/hindi-health-dataset/home
- FIRE 2015, ESM-IL (English, Hindi, Tamil, Malayalam) : http://au-kbc.org/nlp/ESM-FIRE2015/#traincorpus
- FIRE NER 2013 (English, Hindi, Tamil, Malayalam, Bengali): http://au-kbc.org/nlp/NER-FIRE2013/
- IJCNLP 2008 SSEAL: http://ltrc.iiit.ac.in/ner-ssea-08/index.cgi?topic=5
Bengali
-------
- FIRE NER 2013 (English, Hindi, Tamil, Malayalam, Bengali): http://au-kbc.org/nlp/NER-FIRE2013/
- IJCNLP 2008 SSEAL: http://ltrc.iiit.ac.in/ner-ssea-08/index.cgi?topic=5
Telugu
------
- NER_Telugu: https://github.com/anikethjr/NER_Telugu
- IJCNLP 2008 SSEAL: http://ltrc.iiit.ac.in/ner-ssea-08/index.cgi?topic=5
- Named Entity Annotated Corpora for Telugu: http://www.tdil-dc.in/index.php?option=com_download&task=showresourceDetails&toolid=982&lang=en
Marathi
-------
- Named Entity Annotated Corpora for Marathi: http://www.tdil-dc.in/index.php?option=com_download&task=showresourceDetails&toolid=979&lang=en
Punjabi
-------
- Named Entity Annotated Corpora for Punjabi: http://www.tdil-dc.in/index.php?option=com_download&task=showresourceDetails&toolid=980&lang=en
Tamil
-----
- FIRE 2015, ESM-IL (English, Hindi, Tamil, Malayalam) : http://au-kbc.org/nlp/ESM-FIRE2015/#traincorpus
- FIRE NER 2013 (English, Hindi, Tamil, Malayalam, Bengali): http://au-kbc.org/nlp/NER-FIRE2013/
Malayalam
---------
- FIRE 2015, ESM-IL (English, Hindi, Tamil, Malayalam) : http://au-kbc.org/nlp/ESM-FIRE2015/#traincorpus
- FIRE NER 2013 (English, Hindi, Tamil, Malayalam, Bengali): http://au-kbc.org/nlp/NER-FIRE2013/
Oriya/Odia
----------
- IJCNLP 2008 SSEAL: http://ltrc.iiit.ac.in/ner-ssea-08/index.cgi?topic=5
Sinhala/Sinhalese
-----------------
- LORELEI (LDC2018E57)
Thai
----
- thai-named-entity-recognition-data: https://github.com/PyThaiNLP/thai-named-entity-recognition-data
- Thai named entity corpora: http://pioneer.chula.ac.th/~awirote/resources/corpora--data.html ; http://pioneer.chula.ac.th/~awirote/Data-Nutcha.zip ; http://pioneer.chula.ac.th/~awirote/Data-Sasiwimon.zip ; http://pioneer.chula.ac.th/~awirote/Data-Nattadaporn.zip
Indonesian
----------
- IDENTIC: http://metashare.elda.org/repository/browse/identic/fed3fada7ef111e5aa3b001dd8b71c66c98eee36eabd42f18ffd9a95da9104cc/
- https://github.com/yohanesgultom/nlp-experiments/tree/master/data/ner
Vietnamese
----------
- VLSP 2016: http://vlsp.org.vn/resources-vlsp2016 ; https://github.com/undertheseanlp/ner
- VLSP 2018: http://vlsp.org.vn/resources-vlsp2018 ; https://github.com/undertheseanlp/ner
Japanese
--------
- IREX: https://nlp.cs.nyu.edu/irex/Package/
- MET-2 (Japanese, Chinese): https://www-nlpir.nist.gov/related_projects/muc/
- BCCWJ Basic NE corpus: https://sites.google.com/site/projectnextnlpne/en (Iwakura et al., Constructing a Japanese Basic Named Entity Corpus of Various Genres, NEWS 2016)
- DBpedia abstract corpus (English, German, Dutch, French, Italian, Japanese): http://downloads.dbpedia.org/2015-04/ext/nlp/abstracts/
- Data from: Mai et al., An Empirical Study on Fine-Grained Named Entity Recognition, COLING 2018 (English, Japanese): https://fgner.alt.ai/duc/ene/testsets/comp/
Korean
------
- National Institute of Korean Language (ROK) - NER Corpus: https://github.com/digitalprk/KoreaNER ; https://ithub.korean.go.kr/user/total/referenceView.do?boardSeq=5&articleSeq=118&boardGb=T&isInsUpd&boardType=CORPUS
Chinese
-------
- ACE 2003 (English, Chinese, Arabic): https://catalog.ldc.upenn.edu/LDC2004T09
- ACE 2004 (English, Chinese, Arabic): https://catalog.ldc.upenn.edu/LDC2005T09
- ACE 2005 (English, Chinese, Arabic): https://catalog.ldc.upenn.edu/LDC2006T06
- OntoNotes 5 (English, Arabic, Chinese): https://catalog.ldc.upenn.edu/LDC2013T19
- MET-2 (Japanese, Chinese): https://www-nlpir.nist.gov/related_projects/muc/
- REFLEX Entity Translation (Parallel corpus: English, Arabic, Chinese): https://catalog.ldc.upenn.edu/LDC2009T11
- NE3L named entities Chinese corpus (Arabic, Chinese, Russian): http://catalogue.elra.info/en-us/repository/browse/ELRA-W0079/
- Original Short-Message Data Collation I in Chinese (named entities): http://catalog.elra.info/en-us/repository/browse/ELRA-W0045_04/
- Original Short-Message Data Collation II in Chinese (named entities): http://catalog.elra.info/en-us/repository/browse/ELRA-W0045_08/
- ERE DEFT Corpora (Parallel corpus: English, Chinese): Mott et al., Parallel Chinese-English Entities, Relations and Events Corpora, 2016 (LDC2015E78 , LDC2014E114)
- Chinese Weibo: DEFT ERE style annotations for named and nominal mentions on Chinese social media (Weibo): https://github.com/hltcoe/golden-horse
Russian
-------
- BSNLP 2017 (Croatian, Czech, Polish, Russian, Slovak, Slovene, Ukrainian): http://bsnlp-2017.cs.helsinki.fi/shared_task_results.html
- NE3L named entities Russian corpus (Arabic, Chinese, Russian): https://catalog.elra.info/en-us/repository/browse/ELRA-W0080/
- WikiNER: https://figshare.com/articles/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500
- factRuEval-2016: https://github.com/dialogue-evaluation/factRuEval-2016
- RuREBus 2020 (Russian Relation Extraction for Business) corpus https://github.com/dialogue-evaluation/RuREBus
Yoruba
------
- GV-Yorùbá-NER. Data: https://github.com/ajesujoba/YorubaTwi-Embedding/tree/master/Yoruba/Yor%C3%B9b%C3%A1-NER ; Data statement: https://drive.google.com/file/d/177xu-O2FTJ7VJQ-0ohCWjVd1qu61Tvml/view Paper: Jesujoba O Alabi, Kwabena Amponsah-Kaakyire, David I Adelani, and Cristina Espãna-Bonet. Massive vs. curated word embeddings for low-resourced languages. the case of Yorùbá and Twi. In LREC, 2020 (https://arxiv.org/abs/1912.02481)
Swahili
-------
- Helsinki Corpus of Swahili 2.0 (HCS 2.0) Annotated Version: http://metashare.csc.fi/repository/browse/helsinki-corpus-of-swahili-20-hcs-20-annotated-version/232c1910b9eb11e5915e005056be118e59fb2e920f1f4c0cafc94915fc6f5cac/ See: Shah et al., 2010. SYNERGY: A Named Entity Recognition System for Resource-scarce Languages such as Swahili using Online Machine Translation
isiNdebele
----------
- NCHLT isiNdebele Named Entity Annotated Corpus: https://repo.sadilar.org/handle/20.500.12185/306
Xhosa
-----
- NCHLT isiXhosa Named Entity Annotated Corpus: https://repo.sadilar.org/handle/20.500.12185/312
Zulu
----
- NCHLT isiZulu Named Entity Annotated Corpus: https://repo.sadilar.org/handle/20.500.12185/319
Sepedi
------
- NCHLT Sepedi Named Entity Annotated Corpus: https://repo.sadilar.org/handle/20.500.12185/328
Sesotho
-------
- NCHLT Sesotho Named Entity Annotated Corpus: https://repo.sadilar.org/handle/20.500.12185/334
Setswana
--------
- NCHLT Setswana Named Entity Annotated Corpus: https://repo.sadilar.org/handle/20.500.12185/341
Siswati
-------
- NCHLT Siswati Named Entity Annotated Corpus: https://repo.sadilar.org/handle/20.500.12185/346
Venda
-----
- NCHLT Tshivenda Named Entity Annotated Corpus: https://repo.sadilar.org/handle/20.500.12185/355
Xitsonga
--------
- NCHLT Xitsonga Named Entity Annotated Corpus: https://repo.sadilar.org/handle/20.500.12185/362
Latin
-----
- Herodotos Project: https://github.com/alexerdmann/Herodotos_Project_Annotation
A long list can be found here: http://damien.nouvels.net/resourcesen/corpora.html
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