juand-r/entity-recognition-datasets

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

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This is a collection of pre-annotated text datasets for identifying key entities like people, organizations, locations, or medical terms within documents. It provides ready-to-use input for training and evaluating text analysis systems. Anyone working with text data who needs to automatically extract specific information from large volumes of text, such as researchers, data scientists, or analysts, would find this useful.

1,564 stars. No commits in the last 6 months.

Use this if you need labeled text examples to build or test systems that automatically recognize and categorize important entities in text, spanning domains like news, medical records, or social media.

Not ideal if you are looking for a tool to perform entity recognition directly or if you need datasets that are not publicly available or require complex licensing agreements.

text-analysis information-extraction natural-language-processing data-labeling machine-learning-datasets
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

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1,564

Forks

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Language

Python

License

MIT

Last pushed

Jun 12, 2025

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