Referencias:
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:arsentd_lev')
- Descripción :
The Arabic Sentiment Twitter Dataset for Levantine dialect (ArSenTD-LEV) contains 4,000 tweets written in Arabic and equally retrieved from Jordan, Lebanon, Palestine and Syria.
- Licencia : Sin licencia conocida
- Versión : 1.1.0
- Divisiones :
| Separar | Ejemplos |
|---|---|
'train' | 4000 |
- Características :
{
"Tweet": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Country": {
"num_classes": 4,
"names": [
"jordan",
"lebanon",
"syria",
"palestine"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"Topic": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Sentiment": {
"num_classes": 5,
"names": [
"negative",
"neutral",
"positive",
"very_negative",
"very_positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"Sentiment_Expression": {
"num_classes": 3,
"names": [
"explicit",
"implicit",
"none"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"Sentiment_Target": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}