===============================
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.


**NOTE: I am no longer actively adding datasets to this list -- there are likely more NER datasets that have appeared since 2020. However, I am happy to add more datasets via issues or pull requests.**

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.

============== =============== ======================= =============================== ==================================
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
WikiNEuRal      Wikipedia          CC BY-SA-NC 4.0      Tedeschi et al., 2021           https://github.com/Babelscape/wikineural
MultiNERD       Wikipedia          CC BY-SA-NC 4.0      Tedeschi et al., 2022           https://github.com/Babelscape/multinerd
HIPE-2022       Historical         CC BY-SA-NC 4.0      Ehrmann et al., 2022            https://github.com/hipe-eval/HIPE-2022-data
Music-NER       Music              MIT                  Epure and Hennequin, 2023       https://github.com/deezer/music-ner-eacl2023
WIESP2022-NER   Astrophysics       CC BY-SA-NC 4.0      Grezes et al., 2022             https://huggingface.co/datasets/adsabs/WIESP2022-NER
NNE             News               CC 4.0 / LDC         Ringland et al., 2019           https://github.com/nickyringland/nested_named_entities
WorldWide       News               CC BY-SA-NC 4.0      Shan et al., 2023               https://github.com/stanfordnlp/en-worldwide-newswire   https://arxiv.org/abs/2404.13465
============== =============== ======================= =============================== ==================================

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
- FEW-NERD: A Few-shot Named Entity Recognition Dataset https://aclanthology.org/2021.acl-long.248/



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
- WikiNEuRal: https://github.com/Babelscape/wikineural
- MultiNERD: https://github.com/Babelscape/multinerd
- 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
- HIPE-2022, named entity recognition and entity linking in multilingual historical documents: https://hipe-eval.github.io/HIPE-2022/ https://github.com/hipe-eval/HIPE-2022-data

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
- WikiNEuRal: https://github.com/Babelscape/wikineural
- MultiNERD: https://github.com/Babelscape/multinerd
- 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
- WikiNEuRal: https://github.com/Babelscape/wikineural
- MultiNERD: https://github.com/Babelscape/multinerd
- 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
- WikiNEuRal: https://github.com/Babelscape/wikineural
- MultiNERD: https://github.com/Babelscape/multinerd
- 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
- WikiNER-fr-gold  https://arxiv.org/abs/2411.00030  https://huggingface.co/datasets/danrun/WikiNER-fr-gold
- WikiNEuRal: https://github.com/Babelscape/wikineural
- MultiNERD: https://github.com/Babelscape/multinerd
- 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
- HIPE-2022, named entity recognition and entity linking in multilingual historical documents: https://hipe-eval.github.io/HIPE-2022/ https://github.com/hipe-eval/HIPE-2022-data


Italian
-------

- KIND: https://github.com/dhfbk/KIND
- 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
- WikiNEuRal: https://github.com/Babelscape/wikineural
- MultiNERD: https://github.com/Babelscape/multinerd
- 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
- NYTK: https://github.com/nytud/NYTK-NerKor

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
- PERO OCR NER (Czech historical OCR chronicles): https://github.com/roman-janik/PONER  https://dspace.vut.cz/items/6092e1b0-3d75-4451-8582-28573ac30404

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
- WikiNEuRal: https://github.com/Babelscape/wikineural
- MultiNERD: https://github.com/Babelscape/multinerd
- 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)
- NKJP: http://clip.ipipan.waw.pl/NationalCorpusOfPolish?action=AttachFile&do=view&target=NKJP-PodkorpusMilionowy-1.2.tar.gz

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  
- HIPE-2022, named entity recognition and entity linking in multilingual historical documents: https://hipe-eval.github.io/HIPE-2022/ https://github.com/hipe-eval/HIPE-2022-data


Finnish
-------

- data sets for Finnish Named Entity Recoginition: https://github.com/mpsilfve/finer-data
- Turku NER corpus: https://github.com/TurkuNLP/turku-ner-corpus
- HIPE-2022, named entity recognition and entity linking in multilingual historical documents: https://hipe-eval.github.io/HIPE-2022/ https://github.com/hipe-eval/HIPE-2022-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
- Çoban et al, Named Entity Recognition over FBNER: A New Facebook Dataset in Turkish: https://ieeexplore.ieee.org/document/9598971   Data available for research purposes on request

Kazakh
------

- KazNERD: https://arxiv.org/pdf/2111.13419.pdf, https://github.com/IS2AI/KazNERD

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)
- ArmTDP-NER: https://github.com/myavrum/ArmTDP-NER

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
- Wojood - 2022 Nested Arabic Named Entity Corpus.  https://dlnlp.ai/st/wojood/  https://aclanthology.org/2022.lrec-1.387.pdf  https://codalab.lisn.upsaclay.fr/competitions/11740

Persian
-------

- ArmanPersoNERCorpus: http://islrn.org/resources/399-379-640-828-6/ ; https://github.com/HaniehP/PersianNER

Sindhi
------

- SiNER: https://aclanthology.org/2020.lrec-1.361/, https://github.com/AliWazir/SiNER-dataset

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 

Indic
-----

- Naamapadam: Named Entity Recognition (NER) dataset for 11 major Indian languages from two language families.  https://research.ibm.com/publications/naamapadam-a-large-scale-named-entity-annotated-data-for-indic-languages   https://ai4bharat.iitm.ac.in/naamapadam

Hindi
-----
- HiNER: https://github.com/cfiltnlp/HiNER
- 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
- Bengali-NER: https://github.com/Rifat1493/Bengali-NER, https://ieeexplore.ieee.org/document/8944804
- NER-Bangla: https://github.com/MISabic/NER-Bangla-Dataset, https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs179349

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

Maithili
--------

- The first named entity recognizer in Maithili: Resource creation and system development: https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs210051

Nepali
------

- EverestNER: https://journals.flvc.org/FLAIRS/article/view/130725, https://github.com/nowalab/everest-ner

Marathi
-------

- Named Entity Annotated Corpora for Marathi: http://www.tdil-dc.in/index.php?option=com_download&task=showresourceDetails&toolid=979&lang=en
- L3Cube MahaNER: https://arxiv.org/abs/2204.06029  https://github.com/l3cube-pune/MarathiNLP

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
- LST20: https://huggingface.co/datasets/lst20 ; https://arxiv.org/abs/2008.05055
- Thai-NNER: https://github.com/vistec-AI/Thai-NNER , https://aclanthology.org/2022.findings-acl.116

Indonesian
----------

- IDENTIC: http://metashare.elda.org/repository/browse/identic/fed3fada7ef111e5aa3b001dd8b71c66c98eee36eabd42f18ffd9a95da9104cc/
- https://github.com/yohanesgultom/nlp-experiments/tree/master/data/ner
- indonesia-ner: Syaifudin & Nurwidyantoro  https://ieeexplore.ieee.org/document/7828656  https://github.com/yusufsyaifudin/Indonesia-ner
- idner-news-2k: A dataset of Indonesian News for Named-Entity Recognition task.  Reannotation of Syaifudin & Nurwidyantoro https://dl.acm.org/doi/10.1145/3592854#fn8  https://github.com/khairunnisaor/idner-news-2k/
- NERP and NER-grit: two Indonesian datasets from IndoNLP/IndoNLU   https://github.com/IndoNLP/indonlu/tree/master/dataset  https://aclanthology.org/2020.aacl-main.85/

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
- PhoNER_COVID19: https://github.com/VinAIResearch/PhoNER_COVID19

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/
- Wikipedia NER Corpus: https://github.com/stockmarkteam/ner-wikipedia-dataset
- WikiANN: https://elisa-ie.github.io/wikiann/  
- GSD: Conversion of the UD GSD dataset to named entities by Megagon Labs  https://github.com/megagonlabs/UD_Japanese-GSD
- KWDLC: Kyoto University Web Document Leads Corpus   https://nlp.ist.i.kyoto-u.ac.jp/EN/index.php?KWDLC  https://github.com/ku-nlp/KWDLC  https://nagisa.readthedocs.io/en/latest/tutorial_ner.html

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
- KMOU NER - https://github.com/kmounlp/NER
- Korean Language Understanding Evaluation - KLUE NER - https://klue-benchmark.com/tasks/69/overview/description
- https://github.com/songys/entity
- HLCT 2016 corpus, with updates - https://github.com/machinereading/KoreanNERCorpus

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
- Chinese EduNER: 2023 dataset in the Education domain:  https://link.springer.com/article/10.1007/s00521-023-08635-5  https://github.com/anonymous-xl/eduner
- Chinese Aerospace NER: https://www.nature.com/articles/s41598-023-50705-0   https://github.com/Coder-XIAOKAI/Aerospace_NERdatasets
- SciCN: A Chinese Dataset and Benchmark for Scientific Information Extraction   https://file.techscience.com/files/cmc/2024/TSP_CMC-78-3/TSP_CMC_35594/TSP_CMC_35594.pdf  https://github.com/yangjingla/SciCN
- EMP NER: Historical Chinese  https://aclanthology.org/2024.lrec-main.35.pdf https://gitlab.com/enpchina/ENP-NER

Tagalog
-------

- TLUnifed: https://arxiv.org/abs/2311.07161 https://huggingface.co/datasets/ljvmiranda921/tlunified-ner

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
- WikiNEuRal: https://github.com/Babelscape/wikineural
- MultiNERD: https://github.com/Babelscape/multinerd
- 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

Igbo
----

- IgboNER: https://aclanthology.org/2022.lrec-1.547/  https://github.com/Chiamakac/IgboNER-Models later updated in https://openreview.net/pdf?id=tHUS9-vmUfC  from https://sites.google.com/view/africanlp2023/home

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
- MPHAYANER: Named Entity Recognition for Tshivenḓa: https://openreview.net/pdf?id=0nneuL3bSLt https://github.com/rendanim/MphayaNER  from https://sites.google.com/view/africanlp2023/home

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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==========

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