| dataset_info: | |
| features: | |
| - name: input | |
| dtype: string | |
| - name: output | |
| sequence: string | |
| splits: | |
| - name: train | |
| num_bytes: 411485 | |
| num_examples: 1968 | |
| - name: test | |
| num_bytes: 182161 | |
| num_examples: 844 | |
| download_size: 294736 | |
| dataset_size: 593646 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: test | |
| path: data/test-* | |
| This is a dataset of Amazon packaged food product reviews, annotated with food-related human values by design and psychology researchers from Stanford University. | |
| Each data point is assigned to multiple value-emotion classes. This dataset can be used to train multi-label, multi-class classification models on product reviews. |