Improve dataset card: Add paper, code links, task categories, description, and sample usage
#2
by
nielsr
HF Staff
- opened
This PR significantly enhances the NLP-ADBench dataset card by:
- Adding
task_categories: ['feature-extraction', 'text-classification']and relevanttags(anomaly-detection,nlp,benchmark) to the metadata, improving discoverability for NLP Anomaly Detection tasks. - Providing an comprehensive overview of the benchmark from the paper's abstract and GitHub README.
- Including direct links to the paper (https://huggingface.co/papers/2412.04784) and the GitHub repository (https://github.com/USC-FORTIS/NLP-ADBench).
- Adding a "Sample Usage" section with instructions for environment setup, data import, and running the benchmark, directly taken from the GitHub README.
- Including the BibTeX citation for the paper.
These changes make the dataset card much more informative and user-friendly.