| | --- |
| | 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. |
| |
|
