arsentd_lev

Referencias:

• Código
• cara de abrazo

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 :

• 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"
    }
}