Datasets
DataRec includes several commonly used recommendation datasets to facilitate reproducibility and standardization. These datasets have been carefully curated, with traceable sources and versioning information maintained whenever possible. For each dataset, DataRec provides metadata such as the number of users, items, and interactions and data characteristics known to impact recommendation performance (e.g., sparsity and user/item distribution shifts). The dataset collection in DataRec is continuously updated to include more recent and widely used datasets from the recommendation systems literature. The most recent and widely used version is included when the original data source is unavailable to ensure backward compatibility.
The following datasets are currently included in DataRec:
| Dataset Name | Source |
|---|---|
| Alibaba iFashion | https://drive.google.com/drive/folders/1xFdx5xuNXHGsUVG2VIohFTXf9S7G5veq |
| Amazon Beauty | https://amazon-reviews-2023.github.io |
| Amazon Books | https://amazon-reviews-2023.github.io/ |
| Amazon Clothing | https://amazon-reviews-2023.github.io/ |
| Amazon Sports and Outdoors | https://amazon-reviews-2023.github.io/ |
| Amazon Toys and Games | https://amazon-reviews-2023.github.io/ |
| Amazon Video Games | https://amazon-reviews-2023.github.io/ |
| Ciao | https://guoguibing.github.io/librec/datasets.html |
| Epinions | https://snap.stanford.edu/data/soc-Epinions1.html |
| Gowalla | https://snap.stanford.edu/data/loc-gowalla.html |
| LastFM | https://grouplens.org/datasets/hetrec-2011/ |
| MovieLens | https://grouplens.org/datasets/movielens/ |
| Tmall | https://tianchi.aliyun.com/dataset/53?t=1716541860503 |
| Yelp | https://www.yelp.com/dataset |