Datasets:
Tasks:
Token Classification
Modalities:
Text
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
10K - 100K
License:
Update README.md
Browse files
README.md
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- **Paper:** [https://academic.oup.com/database/article/doi/10.1093/database/baw032/2630271?login=true](https://academic.oup.com/database/article/doi/10.1093/database/baw032/2630271?login=true)
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- **Dataset:** BioCreative V CDR
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- **Domain:** Biomedical
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- **Number of Entity:** 2
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### Dataset Summary
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BioCreative V CDR NER dataset formatted in a part of [TNER](https://github.com/asahi417/tner) project.
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The original dataset consists of long documents which cannot be fed on LM because of the length, so we split them into sentences to reduce their size.
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## Dataset Structure
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- **Paper:** [https://academic.oup.com/database/article/doi/10.1093/database/baw032/2630271?login=true](https://academic.oup.com/database/article/doi/10.1093/database/baw032/2630271?login=true)
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- **Dataset:** BioCreative V CDR
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- **Domain:** Biomedical
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- **Number of Entity:** 2
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### Dataset Summary
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BioCreative V CDR NER dataset formatted in a part of [TNER](https://github.com/asahi417/tner) project.
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The original dataset consists of long documents which cannot be fed on LM because of the length, so we split them into sentences to reduce their size.
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- Entity Types: `Chemical`, `Disease`
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## Dataset Structure
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