Improve dataset card: Add task category, license, library, tags, and links

This PR enhances the dataset card for `CIRCL/vulnerability-scores` by:
- Adding `task_categories: text-classification`, `license: agpl-3.0`, `library_name: datasets`, and relevant `tags` to the metadata for better discoverability and compliance.
- Updating the primary paper link to the official Hugging Face Papers page (`https://huggingface.co/papers/2507.03607`) at the top of the card.
- Including explicit links to the project page (`https://vulnerability.circl.lu`) and the associated GitHub repository (`https://github.com/vulnerability-lookup/ML-Gateway`) for easier access to related resources.
- Adding a brief introductory overview of the dataset derived from the paper's abstract.
- Removing the redundant arXiv citation, as the Hugging Face paper link serves as the primary reference.
- Preserving the existing detailed information about data sources and usage examples.

README.md

@@ -33,8 +33,24 @@ configs:
     path: data/train-*
   - split: test
     path: data/test-*
+task_categories:
+- text-classification
+license: agpl-3.0
+library_name: datasets
+tags:
+- vulnerability
+- cybersecurity
+- security
+- cve
+- cvss
 ---
 
+This dataset, `CIRCL/vulnerability-scores`, comprises over 600,000 real-world vulnerabilities used to train and evaluate VLAI, a transformer-based model designed to predict software vulnerability severity levels directly from text descriptions, enabling faster and more consistent triage.
+
+The dataset is presented in the paper [VLAI: A RoBERTa-Based Model for Automated Vulnerability Severity Classification](https://huggingface.co/papers/2507.03607).
+
+Project page: [https://vulnerability.circl.lu](https://vulnerability.circl.lu)
+Associated code: [https://github.com/vulnerability-lookup/ML-Gateway](https://github.com/vulnerability-lookup/ML-Gateway)
 
 ### Sources of the data
 
@@ -50,8 +66,6 @@ configs:
 Extracted from the database of [Vulnerability-Lookup](https://vulnerability.circl.lu).  
 Dumps of the data are available [here](https://vulnerability.circl.lu/dumps/).
 
-This dataset is cited in arxiv.org/abs/2507.03607.
-
 ### Query with datasets
 
 ```python