metadata
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.