pietrolesci/amazoncat-13k

This dataset has been created as an artefact of the paper AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets (Lesci and Vlachos, 2024). More info about this dataset in the appendix of the paper. The AmazonCat-13k dataset was released by McAuley and Leskovec (2013) and is composed of product descriptions and reviews classified into 13k multi-label categories. The dataset is split into 1.2M train and 300k evaluation instances. It is commonly used as an extreme… See the full description on the dataset page: https://huggingface.co/datasets/pietrolesci/amazoncat-13k.