Add task categories and prominent links to paper and code

This PR improves the F2LLM dataset card by:
- Adding `text-retrieval` and `feature-extraction` to the `task_categories` metadata, enhancing discoverability for relevant AI tasks on the Hugging Face Hub.
- Adding prominent links to the Hugging Face paper page and the GitHub repository at the top of the dataset card for easier access to key resources.
- Retaining the existing ArXiv link in the "For more details" section, in compliance with the guideline not to replace existing ArXiv links.

README.md

@@ -1,11 +1,18 @@
 ---
-license: apache-2.0
 language:
 - en
+license: apache-2.0
 size_categories:
 - 1M<n<10M
+task_categories:
+- text-retrieval
+- feature-extraction
 ---
 
+# F2LLM Dataset
+
+[Paper](https://huggingface.co/papers/2510.02294) | [Code](https://github.com/codefuse-ai/CodeFuse-Embeddings/tree/main/F2LLM)
+
 The F2LLM dataset includes 6 million query-document-negative tuples curated solely from open-source, non-synthetic data, serving as a strong, budget-friendly baseline for training embedding models.
 
 ## Data Format