Add task categories and paper link

Hi, I'm Niels from the community science team at Hugging Face. This PR adds the `other` task category to the metadata and updates the README to reference the official paper title and its Hugging Face paper page. This helps with the discoverability of the dataset and provides better context for researchers.

README.md

@@ -1,58 +1,54 @@
 ---
+task_categories:
+- other
 configs:
 - config_name: AmazonReviews2014-Beauty
   data_files:
   - split: val
-    path: "AmazonReviews2014-Beauty/val.jsonl"
+    path: AmazonReviews2014-Beauty/val.jsonl
   - split: test
-    path: "AmazonReviews2014-Beauty/test.jsonl"
-
+    path: AmazonReviews2014-Beauty/test.jsonl
 - config_name: AmazonReviews2014-Sports_and_Outdoors
   data_files:
   - split: val
-    path: "AmazonReviews2014-Sports_and_Outdoors/val.jsonl"
+    path: AmazonReviews2014-Sports_and_Outdoors/val.jsonl
   - split: test
-    path: "AmazonReviews2014-Sports_and_Outdoors/test.jsonl"
-
+    path: AmazonReviews2014-Sports_and_Outdoors/test.jsonl
 - config_name: AmazonReviews2023-Industrial_and_Scientific
   data_files:
   - split: val
-    path: "AmazonReviews2023-Industrial_and_Scientific/val.jsonl"
+    path: AmazonReviews2023-Industrial_and_Scientific/val.jsonl
   - split: test
-    path: "AmazonReviews2023-Industrial_and_Scientific/test.jsonl"
-
+    path: AmazonReviews2023-Industrial_and_Scientific/test.jsonl
 - config_name: AmazonReviews2023-Musical_Instruments
   data_files:
   - split: val
-    path: "AmazonReviews2023-Musical_Instruments/val.jsonl"
+    path: AmazonReviews2023-Musical_Instruments/val.jsonl
   - split: test
-    path: "AmazonReviews2023-Musical_Instruments/test.jsonl"
-
+    path: AmazonReviews2023-Musical_Instruments/test.jsonl
 - config_name: AmazonReviews2023-Office_Products
   data_files:
   - split: val
-    path: "AmazonReviews2023-Office_Products/val.jsonl"
+    path: AmazonReviews2023-Office_Products/val.jsonl
   - split: test
-    path: "AmazonReviews2023-Office_Products/test.jsonl"
-
+    path: AmazonReviews2023-Office_Products/test.jsonl
 - config_name: Steam
   data_files:
   - split: val
-    path: "Steam/val.jsonl"
+    path: Steam/val.jsonl
   - split: test
-    path: "Steam/test.jsonl"
-
+    path: Steam/test.jsonl
 - config_name: Yelp-Yelp_2020
   data_files:
   - split: val
-    path: "Yelp-Yelp_2020/val.jsonl"
+    path: Yelp-Yelp_2020/val.jsonl
   - split: test
-    path: "Yelp-Yelp_2020/test.jsonl"
+    path: Yelp-Yelp_2020/test.jsonl
 ---
 
 # MemGen Annotations
 
-This is the annotation dataset for **On the Memorization and Generalization of Generative Recommendation**.
+This is the annotation dataset for the paper **[How Well Does Generative Recommendation Generalize?](https://huggingface.co/papers/2603.19809)**.
 
 <a href="https://huggingface.co/papers/2603.19809"><img src="https://img.shields.io/badge/Paper-ArXiv-red"></a>
 <a href="https://github.com/Jamesding000/MemGen-GR"><img src="https://img.shields.io/badge/Code-GitHub-black"></a>
@@ -91,4 +87,4 @@ ds = (ds
       .add_column("master", labels["master"])
       .add_column("subcategories", labels["subcategories"])
       .add_column("all_labels", labels["all_labels"]))
-```
+```