Références :
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:cdt')
- Description :
The Cyberbullying Detection task was part of 2019 edition of PolEval competition. The goal is to predict if a given Twitter message contains a cyberbullying (harmful) content.
- Licence : BSD 3 clauses
- Version : 1.1.0
- Divisions :
Diviser | Exemples |
---|---|
'test' | 1000 |
'train' | 10041 |
- Caractéristiques :
{
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"num_classes": 2,
"names": [
"0",
"1"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}