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entity-recognition-datasets

A curated collection of annotated NER corpora across multiple domains and languages.

Entity Recognition Datasets Hub

Access a comprehensive collection of annotated corpora for named entity recognition tasks.

Free forever · open source · MIT
✓ Light setup✓ Browser-based✓ Real-time collaboration
7.4
ZEKAI
Essential NER dataset directory
Free & open source · Writing
Ease of setup8
Usefulness8
Maintenance7
Community6.5
★ 1,573
GITHUB
Jul 2026
UPDATED
MIT
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

This repository provides a structured directory and conversion code for named entity recognition datasets spanning news, medical, social media, and specialized domains. It suits NLP engineers and researchers hunting for standardized training data.

Runs on
Cross-platform
Hosting
Self-host
Languages
Python
License
MIT

What it is

It aggregates references, licensing details, and conversion scripts for transforming diverse entity recognition corpora into CoNLL 2003 format. The collection covers English datasets alongside multilingual resources and code-switching text.

Who it's for

It suits NLP researchers and machine learning engineers building custom entity extraction models. It does not suit practitioners seeking a ready-to-deploy NER inference API or pre-trained models.

Key features

CoNLL Conversion Code

Includes scripts to convert various source formats into the standard CoNLL 2003 structure.

Multi-Domain Coverage

Contains corpora spanning news, medical records, social media, financial filings, and defense.

Multilingual Resources

Lists specialized entity recognition datasets for German, code-switching text, and other languages.

Access Routing

Provides explicit availability paths and references for datasets restricted by strict licenses.

How to start

Up and running in 3 steps

1
Clone the repository to inspect the data directory structure and documentation.
2
Review the README tables to locate datasets matching your specific domain and language.
3
Use the provided conversion scripts to format your chosen corpora into CoNLL 2003 format.
Real talk

Our honest verdict

What's great

  • Saves hours of manual searching for specialized NER datasets
  • Includes conversion utilities for format standardization
  • Covers niche domains like medical, malware, and finance
  • Catalogs hard-to-find historical and social media corpora

Where it falls short

  • Dataset maintenance is inactive since 2020, meaning newer corpora are missing
  • Many listed datasets require separate LDC access or restrictive user agreements
  • Does not contain all dataset files directly due to distribution licenses
Cost

Pricing & license

The repository is free under its MIT licence, but the true cost depends on acquiring restricted corpora, some of which require paid LDC subscriptions.

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Questions

FAQ

Are all datasets included directly in the repository?

No. While some permissively licensed datasets are included, others require separate acquisition via LDC or external links due to distribution restrictions.

What format does the conversion code target?

The repository provides code to convert supported corpora into the CoNLL 2003 format.

Is the repository actively updated with new datasets?

No, active dataset additions stopped around 2020, though pull requests and issues are welcome.

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