Create README.md

README.md

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+---
+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.