参考文献:
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:tweets_hate_speech_detection')
- 説明：
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.
- ライセンス: 不明なライセンス
- バージョン: 0.0.0
- 分割:
| スプリット | 例 |
|---|---|
'train' | 31962 |
- 特徴：
{
"label": {
"num_classes": 2,
"names": [
"no-hate-speech",
"hate-speech"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"tweet": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}