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README.md

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 license: mit
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+# Amazon Reviews 2023 (7 Categories, Post-processed)
+
+## Overview
+This dataset is a curated and post-processed subset of Amazon Reviews 2023. 
+We select 7 product categories and apply a standard preprocessing pipeline widely used in sequential recommendation research.
+We adopt the official absolute-timestamp split provided by the corpus.
+
+## Included Categories
+1. CDs_and_Vinyl
+2. Video_Games
+3. Toys_and_Games
+4. Musical_Instruments
+5. Grocery_and_Gourmet_Food
+6. Arts_Crafts_and_Sewing
+7. Office_Products
+
+## Post-processing Pipeline
+The dataset is processed per category as follows:
+1. positive sample
+We treat user-item interactions with user ratings greater than 3 as positive samples.
+
+2. K-core filtering
+To improve data quality, we remove users with fewer than 10
+interactions in CDs and fewer than 5 interactions in the remaining
+datasets.
+
+## Directory Layout (per category)
+Each category has its own folder containing:
+item.csv:  Primarily containing the remapped IDs for the items within that specific category.
+
+train.csv: A file containing the interaction sequences used for training the model.
+
+valid.csv: A dedicated directory containing the validation sequences to tune hyperparameters and prevent overfitting.
+
+test.csv: A directory containing the test sequences.
+
+## Licensing & Attribution
+This dataset is derived from Amazon Reviews 2023. Please refer to the original dataset page for licensing/usage terms and attribution requirements:
+
+* https://amazon-reviews-2023.github.io/
+  
+If you use this processed dataset, please cite the original dataset and clearly state that you used a post-processed subset with the pipeline described above.
+
 ## Citation
 
 If you use this dataset, please cite: