References:
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:movie_rationales')
- Description:
The movie rationale dataset contains human annotated rationales for movie
reviews.
- License: No known license
- Version: 0.1.0
- Splits:
Split | Examples |
---|---|
'test' |
199 |
'train' |
1600 |
'validation' |
200 |
- Features:
{
"review": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"NEG",
"POS"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"evidences": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}