Références :
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:ar_res_reviews')
- Description :
Dataset of 8364 restaurant reviews scrapped from qaym.com in Arabic for sentiment analysis
- Licence : Aucune licence connue
- Version : 0.0.0
- Divisions :
Diviser | Exemples |
---|---|
'train' | 8364 |
- Caractéristiques :
{
"polarity": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"restaurant_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"user_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}