exa-ai/CodeDocsNER
CodeDocsNER A large-scale NER dataset built from 206,382 markdown documentation files across 4,835 permissively licensed GitHub repositories (MIT and Apache-2.0), with ~17M named entities across 25,547 entity types. Repositories are identified via GH Archive star data on BigQuery, filtered to those with at least 5 stars in 2026. File contents are fetched directly from the GitHub API. Entities are annotated using a two-pass approach with DeepSeek v3.2 and spaCy. Built with… See the full description on the dataset page: https://huggingface.co/datasets/exa-ai/CodeDocsNER.
| Author / organization | exa-ai |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 170 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 8 April 2026 |
| Last updated at source | 10 April 2026 |
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