Références :
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:rotten_tomatoes')
- Description :
Movie Review Dataset.
This is a dataset of containing 5,331 positive and 5,331 negative processed
sentences from Rotten Tomatoes movie reviews. This data was first used in Bo
Pang and Lillian Lee, ``Seeing stars: Exploiting class relationships for
sentiment categorization with respect to rating scales.'', Proceedings of the
ACL, 2005.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
Diviser | Exemples |
---|---|
'test' | 1066 |
'train' | 8530 |
'validation' | 1066 |
- Caractéristiques :
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"neg",
"pos"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}