Referencje:
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:oclar')
- Opis :
The researchers of OCLAR Marwan et al. (2019), they gathered Arabic costumer reviews from Google reviewsa and Zomato website
(https://www.zomato.com/lebanon) on wide scope of domain, including restaurants, hotels, hospitals, local shops, etc.
The corpus finally contains 3916 reviews in 5-rating scale. For this research purpose, the positive class considers
rating stars from 5 to 3 of 3465 reviews, and the negative class is represented from values of 1 and 2 of about 451 texts.
- Licencja : Brak znanej licencji
- Wersja : 1.1.0
- Podziały :
| Podział | Przykłady |
|---|---|
'train' | 3916 |
- Cechy :
{
"pagename": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"review": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"rating": {
"dtype": "int8",
"id": null,
"_type": "Value"
}
}