A curated collection of annotated NER corpora across multiple domains and languages.
Access a comprehensive collection of annotated corpora for named entity recognition tasks.
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.
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.
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.
Includes scripts to convert various source formats into the standard CoNLL 2003 structure.
Contains corpora spanning news, medical records, social media, financial filings, and defense.
Lists specialized entity recognition datasets for German, code-switching text, and other languages.
Provides explicit availability paths and references for datasets restricted by strict licenses.
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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No. While some permissively licensed datasets are included, others require separate acquisition via LDC or external links due to distribution restrictions.
The repository provides code to convert supported corpora into the CoNLL 2003 format.
No, active dataset additions stopped around 2020, though pull requests and issues are welcome.
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