---
license: apache-2.0
task_categories:
- text-classification
- zero-shot-classification
pretty_name: arxiv-metadata-oai-snapshot
size_categories:
- 10K<n<100K
---
# 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.