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@@ -33,10 +33,10 @@ This dataset contains a collection of scientific articles related to **Alzheimer
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  ## Data Sources and Annotation Tools
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- - The original data was obtained via the **PubTator3 API**, exported as `converted_from_bioc.json`.
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- - Entity annotations were generated using NCBI's standard models:
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- - **TaggerOne** and **GNORM** for `disease_tagged_articles.json`
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- - **GNORM** alone for `gene_species_tagged_articles.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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@@ -65,7 +65,6 @@ The dataset has been simplified:
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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
@@ -78,7 +77,7 @@ The dataset has been simplified:
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  ```python
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  from datasets import load_dataset
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- dataset = load_dataset("your-username/your-dataset-name")
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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