license:cc0-1.0 size_categories:10K<n<100K format:csv modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
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license: cc0-1.0
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# Kidney Disease-Related Articles Dataset

## Description

This dataset is part of the MSc dissertation study titled 'Investigating the Potential of Identifying Kidney Disease-Related Articles Using Transformer Models and Large Language Models' at the University of Southampton. It consists of 16,297 Meta-Analyses and Systematic Reviews articles extracted from PubMed, published between June 22, 2019, and June 22, 2024. The articles are categorized into two classes:

- **Class 1**: Articles related to kidney disease or its treatments.
- **Class 0**: Articles not related to kidney disease or its treatments.

## Dataset Structure

The dataset is split into train and test sets:

<table> <tr> <td></td> <td><strong>Class 1</strong></td> <td><strong>Class 0</strong></td> <td><strong>Total Articles per Split</strong></td> </tr> <tr> <td><strong>Train</strong></td> <td>5,126</td> <td>7,911</td> <td>13,037</td> </tr> <tr> <td><strong>Test</strong></td> <td>1,292</td> <td>1,968</td> <td>3,260</td> </tr> </table>

Columns:

- **PMID**: PubMed ID of the article.
- **ArticleTitle**: Title of the article.
- **Abstract**: Abstract of the article.
- **PublicationTypeList**: List of publication types of the article.
- **MeshHeadingList**: List of MeSH headings of the article.
- **DateCompleted**: Date the article was completed.
- **Text**: Concatenation of the article's title and abstract.
- **label**: Class label (0 or 1).
