tweets_hate_speech_Detection

참조:

• 암호
• 허깅페이스

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:tweets_hate_speech_detection')

• 설명 :

The objective of this task is to detect hate speech in tweets. For the sake of simplicity, we say a tweet contains hate speech if it has a racist or sexist sentiment associated with it. So, the task is to classify racist or sexist tweets from other tweets.

Formally, given a training sample of tweets and labels, where label ‘1’ denotes the tweet is racist/sexist and label ‘0’ denotes the tweet is not racist/sexist, your objective is to predict the labels on the given test dataset.

• 라이선스 : 알려진 라이선스 없음
• 버전 : 0.0.0
• 분할 :

• 특징 :

{
    "label": {
        "num_classes": 2,
        "names": [
            "no-hate-speech",
            "hate-speech"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    },
    "tweet": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}