AyoubChLin/ARxiv_Metadata_50k

arXiv Computer Science Dataset Description

Overview

This dataset is a filtered subset of arXiv papers focusing exclusively on Computer Science domains. It contains 46,328 academic papers with their metadata and classifications.

Dataset Structure

The dataset contains 7 columns:

1. id: Unique identifier for each arXiv paper
2. submitter: The individual who submitted the paper to arXiv
3. title: The title of the research paper
4. categories: Original arXiv category codes (e.g., cs.AI, cs.CL)
5. abstract: The paper's abstract text
6. labels: Transformed category names in human-readable format
7. domain: The primary domain classification (Computer Science)

Data Processing

• The dataset was created by filtering the complete arXiv metadata dump for Computer Science papers
• Category codes were mapped to their full names using a category taxonomy
• Each paper's primary domain was extracted from its categories
• Only papers with at least one Computer Science category were included

Data Format

• File format: CSV
• Number of records: 46,328

Usage

This dataset is suitable for:

• Text classification tasks
• Topic modeling
• Research trend analysis
• Bibliometric studies
• Computer Science subdomain classification

Source

The data was derived from the arXiv metadata snapshot and processed using a custom category taxonomy mapping.