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--- |
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license: cc0-1.0 |
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task_categories: |
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- summarization |
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language: |
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- en |
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pretty_name: ML Articles Subset of Scientific Papers |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Dataset Card for 'ML Articles Subset of Scientific Papers' Dataset |
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## Dataset Summary |
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The dataset consists of 32,621 instances from the 'Scientific papers' dataset, a selection of scientific papers and summaries from ArXiv repository. This subset focuses on articles that are semantically, vocabulary-wise, structurally, and meaningfully closest to articles describing machine learning. This subset was created using sentence embeddings and K-means clustering. |
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## Supported Tasks and Leaderboards |
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The dataset supports tasks related to text summarization. Particularly, the dataset was created for fine-tuning transformer models for summarization. There are no established leaderboards at this moment. |
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## Languages |
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The text in the dataset is in English. |
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## Dataset Structure |
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### Data Instances |
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An instance in the dataset includes a scientific paper and its summary, both in English. |
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### Data Fields |
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article: The full text of the scientific paper.\ |
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abstract: The summary of the paper. |
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### Data Splits |
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The dataset is split into:\ |
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-training subset: 30280 articles\ |
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-validation subset: 1196 articles\ |
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-test subset: 1145 articles |
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## Dataset Creation |
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### Methods |
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The subset was created using sentence embeddings from a transformer model, SciBERT. The embeddings were clustered into 6 clusters using the K-means clustering algorithm. The cluster closest to articles strongly related to the machine learning area by cosine similarity was chosen to form this dataset. |
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### Source Data |
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The dataset is a subset of the 'Scientific papers' dataset, which includes scientific papers from the ArXiv repository. |
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### Social Impact |
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This dataset could help improve the quality of summarization models for machine learning research articles, which in turn can make such content more accessible. |
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### Discussion of Biases |
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As the dataset focuses on machine learning articles, it may not be representative of scientific papers in general or other specific domains. |
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### Other Known Limitations |
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As the dataset has been selected based on a specific methodology, it may not include all machine learning articles or may inadvertently include non-machine learning articles. |
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### Dataset Curators |
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The subset was created as part of a project aimed to build an effective summarization model for Machine Learning articles. |
