arXiv Scientific Research Paper Dataset

Published: 23 June 2026| Version 2 | DOI: 10.17632/mm6kst3krj.2
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Description

This dataset comprises structured metadata from arXiv, a widely used preprint server for scientific research. It includes paper titles, abstracts, categories (subject areas), and submission dates, making it a valuable resource for natural language processing (NLP), bibliometrics, machine learning, and scientific trend analysis. Content The dataset contains the following columns: 1. id: Unique arXiv identifier for each paper. 2. title: The title of the research paper. 3. summary: Summary of the paper's content, extracted from arXiv. 4. summary_word_count: Word count of the summary. 5. category: Subject categories assigned by arXiv. 6. category_code: Category code for the research paper. 7. published_date: Publication date of the research paper. 8. updated_date: The date the paper was last updated. 9. authors: Authors of the research paper. 10. first_author: First author listed on the paper.

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Data Science, Natural Language Processing, Machine Learning, Bidirectional Encoder Representations From Transformers

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