| | --- |
| | license: mit |
| | --- |
| | |
| | # 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 Selection: |
| | 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: |
| | |
| | ```bibtex |
| | @article{mancar2026, |
| | title={ManCAR: Manifold-Constrained Latent Reasoning with Adaptive Test-Time Computation for Sequential Recommendation}, |
| | author={Kun Yang, Yuxuan Zhu, Yazhe Chen, Siyao Zheng, Bangyang Hong, Kangle Wu, Yabo Ni, Anxiang Zeng, Cong Fu, Hui Li}, |
| | journal={arXiv preprint arXiv:2602.20093}, |
| | year={2026} |
| | } |
