AliMaatouk/arXiv_Topics
arXiv Topics Dataset Dataset Summary The arXiv Topics Dataset provides a structured mapping of arXiv papers to topic categories at three different levels of abstraction. These topic classifications were generated by prompting GPT-4o, ensuring a hierarchical categorization from broad fields to highly specific research areas. The dataset consists of 2,422,486 paper IDs, each assigned topics across: Level 1 (Broad Domains): High-level fields such as Computer Science… See the full description on the dataset page: https://huggingface.co/datasets/AliMaatouk/arXiv_Topics.
| Author / organization | AliMaatouk |
|---|---|
| License (as declared) | mit |
| Downloads | 146 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 24 February 2025 |
| Last updated at source | 28 February 2025 |
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