oclar

Bibliografia:

• Kod
• Przytulanie twarzy

Użyj następującego polecenia, aby załadować ten zestaw danych w 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
• Dzieli :

• Cechy :

{
    "pagename": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "review": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "rating": {
        "dtype": "int8",
        "id": null,
        "_type": "Value"
    }
}