Improve dataset card for NLP-ADBench: Add metadata, links, overview, sample usage, and citation
#3
by
nielsr
HF Staff
- opened
This PR significantly improves the NLP-ADBench dataset card by:
- Adding
task_categories: ['text-classification']andtags: ['anomaly-detection', 'nlp']to the metadata for better discoverability. - Including a direct link to the paper (https://huggingface.co/papers/2412.04784) and the GitHub repository (https://github.com/USC-FORTIS/NLP-ADBench).
- Providing an overview of the benchmark and its components.
- Detailing the NLPAD Datasets and Pre-Extracted Embeddings.
- Adding a "Sample Usage" section with instructions and code snippets for setting up the environment and running the benchmark, directly extracted from the project's GitHub README.
- Adding the BibTeX citation.
These additions will make the dataset more accessible, understandable, and discoverable for researchers on the Hugging Face Hub.