tweet_eval

Referencias:

• Código
• cara de abrazo

emoticonos

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:tweet_eval/emoji')

• Descripción :

TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.

• Licencia : Sin licencia conocida
• Versión : 1.1.0
• Divisiones :

• Características :

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 20,
        "names": [
            "\u2764",
            "\ud83d\ude0d",
            "\ud83d\ude02",
            "\ud83d\udc95",
            "\ud83d\udd25",
            "\ud83d\ude0a",
            "\ud83d\ude0e",
            "\u2728",
            "\ud83d\udc99",
            "\ud83d\ude18",
            "\ud83d\udcf7",
            "\ud83c\uddfa\ud83c\uddf8",
            "\u2600",
            "\ud83d\udc9c",
            "\ud83d\ude09",
            "\ud83d\udcaf",
            "\ud83d\ude01",
            "\ud83c\udf84",
            "\ud83d\udcf8",
            "\ud83d\ude1c"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

emoción

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:tweet_eval/emotion')

• Descripción :

TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.

• Licencia : Sin licencia conocida
• Versión : 1.1.0
• Divisiones :

• Características :

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 4,
        "names": [
            "anger",
            "joy",
            "optimism",
            "sadness"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

odio

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:tweet_eval/hate')

• Descripción :

TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.

• Licencia : Sin licencia conocida
• Versión : 1.1.0
• Divisiones :

• Características :

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 2,
        "names": [
            "non-hate",
            "hate"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

ironía

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:tweet_eval/irony')

• Descripción :

TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.

• Licencia : Sin licencia conocida
• Versión : 1.1.0
• Divisiones :

• Características :

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 2,
        "names": [
            "non_irony",
            "irony"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

ofensivo

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:tweet_eval/offensive')

• Descripción :

TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.

• Licencia : Sin licencia conocida
• Versión : 1.1.0
• Divisiones :

• Características :

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 2,
        "names": [
            "non-offensive",
            "offensive"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

sentimiento

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:tweet_eval/sentiment')

• Descripción :

TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.

• Licencia : Sin licencia conocida
• Versión : 1.1.0
• Divisiones :

• Características :

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "negative",
            "neutral",
            "positive"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

postura_aborto

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:tweet_eval/stance_abortion')

• Descripción :

TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.

• Licencia : Sin licencia conocida
• Versión : 1.1.0
• Divisiones :

• Características :

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "none",
            "against",
            "favor"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

postura_ateísmo

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:tweet_eval/stance_atheism')

• Descripción :

TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.

• Licencia : Sin licencia conocida
• Versión : 1.1.0
• Divisiones :

• Características :

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "none",
            "against",
            "favor"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

postura_clima

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:tweet_eval/stance_climate')

• Descripción :

TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.

• Licencia : Sin licencia conocida
• Versión : 1.1.0
• Divisiones :

• Características :

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "none",
            "against",
            "favor"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

postura_feminista

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:tweet_eval/stance_feminist')

• Descripción :

TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.

• Licencia : Sin licencia conocida
• Versión : 1.1.0
• Divisiones :

• Características :

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "none",
            "against",
            "favor"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

postura_hillary

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:tweet_eval/stance_hillary')

• Descripción :

TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.

• Licencia : Sin licencia conocida
• Versión : 1.1.0
• Divisiones :

• Características :

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "none",
            "against",
            "favor"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}