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metadata
license: cc0-1.0
task_categories:
  - summarization
language:
  - en
pretty_name: ML Articles Subset of Scientific Papers
size_categories:
  - 10K<n<100K

Dataset Card for 'ML Articles Subset of Scientific Papers' Dataset

Dataset Summary

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.

Supported Tasks and Leaderboards

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.

Languages

The text in the dataset is in English.

Dataset Structure

Data Instances

An instance in the dataset includes a scientific paper and its summary, both in English.

Data Fields

article: The full text of the scientific paper.
abstract: The summary of the paper.

Data Splits

The dataset is split into:
-training subset: 30280 articles
-validation subset: 1196 articles
-test subset: 1145 articles

Dataset Creation

Methods

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.

Source Data

The dataset is a subset of the 'Scientific papers' dataset, which includes scientific papers from the ArXiv repository.

Social Impact

This dataset could help improve the quality of summarization models for machine learning research articles, which in turn can make such content more accessible.

Discussion of Biases

As the dataset focuses on machine learning articles, it may not be representative of scientific papers in general or other specific domains.

Other Known Limitations

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.

Dataset Curators

The subset was created as part of a project aimed to build an effective summarization model for Machine Learning articles.