References:
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:hate_speech_offensive')
- Description:
An annotated dataset for hate speech and offensive language detection on tweets.
- License: MIT
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'train' |
24783 |
- Features:
{
"count": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"hate_speech_count": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"offensive_language_count": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"neither_count": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"class": {
"num_classes": 3,
"names": [
"hate speech",
"offensive language",
"neither"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"tweet": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}