go_emotions

Использованная литература:

• Код
• Обнимающее лицо

сырой

Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:

ds = tfds.load('huggingface:go_emotions/raw')

• Описание :

The GoEmotions dataset contains 58k carefully curated Reddit comments labeled for 27 emotion categories or Neutral.
The emotion categories are admiration, amusement, anger, annoyance, approval, caring, confusion, curiosity, desire,
disappointment, disapproval, disgust, embarrassment, excitement, fear, gratitude, grief, joy, love, nervousness,
optimism, pride, realization, relief, remorse, sadness, surprise.

• Лицензия : Нет известной лицензии.
• Версия : 0.0.0
• Расколы :

• Функции :

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "author": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "subreddit": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "link_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "parent_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "created_utc": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    },
    "rater_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "example_very_unclear": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "admiration": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "amusement": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "anger": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "annoyance": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "approval": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "caring": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "confusion": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "curiosity": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "desire": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "disappointment": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "disapproval": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "disgust": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "embarrassment": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "excitement": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "fear": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "gratitude": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "grief": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "joy": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "love": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "nervousness": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "optimism": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "pride": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "realization": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "relief": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "remorse": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "sadness": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "surprise": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "neutral": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

упрощенный

Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:

ds = tfds.load('huggingface:go_emotions/simplified')

• Описание :

The GoEmotions dataset contains 58k carefully curated Reddit comments labeled for 27 emotion categories or Neutral.
The emotion categories are admiration, amusement, anger, annoyance, approval, caring, confusion, curiosity, desire,
disappointment, disapproval, disgust, embarrassment, excitement, fear, gratitude, grief, joy, love, nervousness,
optimism, pride, realization, relief, remorse, sadness, surprise.

• Лицензия : Нет известной лицензии.
• Версия : 0.0.0
• Расколы :

• Функции :

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "labels": {
        "feature": {
            "num_classes": 28,
            "names": [
                "admiration",
                "amusement",
                "anger",
                "annoyance",
                "approval",
                "caring",
                "confusion",
                "curiosity",
                "desire",
                "disappointment",
                "disapproval",
                "disgust",
                "embarrassment",
                "excitement",
                "fear",
                "gratitude",
                "grief",
                "joy",
                "love",
                "nervousness",
                "optimism",
                "pride",
                "realization",
                "relief",
                "remorse",
                "sadness",
                "surprise",
                "neutral"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}