Update dataset card: Add task category, correct size, and provide links

This PR improves the dataset card for `AL-GR/Item-Info` by:
- Adding `task_categories: ['text-retrieval']` to the metadata, which aligns with the dataset's use in generative retrieval and text-based item representation.
- Correcting `size_categories` from `10M<n<100M` to `100M<n<1B`, as the dataset contains 255 million examples.
- Adding the `generative-retrieval` tag to the metadata for better discoverability.
- Including explicit links to the associated paper ([FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets](https://huggingface.co/papers/2509.20904)), GitHub repository (`https://github.com/selous123/al_sid`), and project page (`https://huggingface.co/AL-GR`) at the top of the README.
- Clarifying the license statement in the content to "Apache-2.0 License".

README.md

@@ -1,8 +1,10 @@
 ---
-license: apache-2.0
 language:
 - zh
 - en
+license: apache-2.0
+size_categories:
+- 100M<n<1B
 pretty_name: AL-GR Item Titles
 tags:
 - item-metadata
@@ -11,17 +13,22 @@ tags:
 - anonymized
 - e-commerce
 - recommendation
+- generative-retrieval
+task_categories:
+- text-retrieval
 dataset_info:
 - config_name: default
   splits:
   - name: train
     num_examples: 255000000
-size_categories:
-- 10M<n<100M
 ---
 
 # AL-GR/Item-Info: Anonymized Item Titles
 
+Paper: [FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets](https://huggingface.co/papers/2509.20904)
+Code: https://github.com/selous123/al_sid
+Project Page: https://huggingface.co/AL-GR
+
 ## Dataset Summary
 
 This repository, `AL-GR/Item-Info`, is a companion dataset to the `AL-GR` generative recommendation ecosystem. It provides a crucial mapping from the abstract item identifiers (`base62_string`) to their corresponding **anonymized text titles**.
@@ -96,4 +103,4 @@ If you use this dataset in your research, please cite:
 
 ## License
 
-This dataset is licensed under the [e.g., Apache License 2.0].
+This dataset is licensed under the Apache-2.0 License.