Datasets:
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README.md
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## Data Sources and Annotation Tools
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- **TaggerOne**
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These tools are widely used in biomedical NLP for tagging mentions of diseases, genes, and species within PubMed articles.
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* Original nested structures were flattened
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* Tuples were converted to JSON-compliant lists
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* All text content was lowercased for consistency
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* Only `title` and `abstract` sections are currently included
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## Future Work
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```python
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from datasets import load_dataset
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dataset = load_dataset("
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```
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## License
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## Data Sources and Annotation Tools
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- Entity annotations were generated using NCBI's standard models and API calls to the **PubTator3 API**:
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- **TaggerOne** and **GNORM** for `gene_species_tagged_articles.json`
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- **TaggerOne** alone for `disease_tagged_articles.json`
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- **PubTator3 API** for 'converted_from_bioc.json'
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These tools are widely used in biomedical NLP for tagging mentions of diseases, genes, and species within PubMed articles.
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* Original nested structures were flattened
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* Tuples were converted to JSON-compliant lists
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* Only `title` and `abstract` sections are currently included
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## Future Work
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```python
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from datasets import load_dataset
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dataset = load_dataset("AbrehamT/tagged_articles")
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```
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## License
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