This PR significantly improves the `NLP-ADBench` dataset card by:
- Adding `task_categories: ['text-classification']` and `tags: ['anomaly-detection', 'nlp']` to the metadata for better discoverability.
- Including a direct link to the paper ([https://huggingface.co/papers/2412.04784](https://huggingface.co/papers/2412.04784)) and the GitHub repository ([https://github.com/USC-FORTIS/NLP-ADBench](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.
