Referencias:
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:urdu_sentiment_corpus')
- Descripción :
“Urdu Sentiment Corpus” (USC) shares the dat of Urdu tweets for the sentiment analysis and polarity detection.
The dataset is consisting of tweets and overall, the dataset is comprising over 17, 185 tokens
with 52% records as positive, and 48 % records as negative.
- Licencia : Ninguna licencia conocida
- Versión : 1.0.0
- Divisiones :
Dividir | Ejemplos |
---|---|
'train' | 1000 |
- Características :
{
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 3,
"names": [
"P",
"N",
"O"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}