Add task category and links to paper and code

This PR updates the dataset card to improve documentation and discoverability:
- Added `task_categories: [other]` to the YAML metadata.
- Included links to the research paper and official GitHub repository at the top of the dataset card.
- Maintained existing metadata and structure.

README.md

@@ -1,23 +1,26 @@
 ---
 language:
 - en
+license: mit
+size_categories:
+- 1M<n<10M
+task_categories:
+- other
+pretty_name: Amazon Reviews 2023 (10 Categories, Post-processed)
 tags:
 - recommender-systems
 - sequential-recommendation
 - amazon-reviews
 - side-information
-pretty_name: Amazon Reviews 2023 (10 Categories, Post-processed)
-license: mit
-size_categories:
-- 1M<n<10M
 ---
 
 # Amazon Reviews 2023 (10 Categories, Post-processed)
 
+[**Paper**](https://huggingface.co/papers/2602.02338) | [**Code**](https://github.com/FuCongResearchSquad/ReSID) | [**Original Source**](https://amazon-reviews-2023.github.io/)
+
 ## Overview
 This dataset is a curated and post-processed subset of **Amazon Reviews 2023**. We select **10 product categories** and apply a standard preprocessing pipeline widely used in sequential recommendation research. The resulting dataset provides user interaction sequences along with structured item side information.
 
-- **Original source**: https://amazon-reviews-2023.github.io/
 - **Categories**: 10
 - **Content**: user interaction sequences + structured item features  
 - **Splits**: `train`, `valid`, `test`