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---
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license: cc0-1.0
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---
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# Kidney Disease-Related Articles Dataset
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## Description
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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:
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- **Class 1**: Articles related to kidney disease or its treatments.
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- **Class 0**: Articles not related to kidney disease or its treatments.
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## Dataset Structure
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The dataset is split into train and test sets:
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<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>
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Columns:
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- **PMID**: PubMed ID of the article.
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- **ArticleTitle**: Title of the article.
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- **Abstract**: Abstract of the article.
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- **PublicationTypeList**: List of publication types of the article.
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- **MeshHeadingList**: List of MeSH headings of the article.
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- **DateCompleted**: Date the article was completed.
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- **Text**: Concatenation of the article's title and abstract.
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- **label**: Class label (0 or 1).
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