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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 / organizationAliMaatouk
License (as declared)mit
Downloads146 (as reported by Hugging Face)
Likes0
Created24 February 2025
Last updated at source28 February 2025
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