Références:
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:hate_speech_portuguese')
- Descriptif :
Portuguese dataset for hate speech detection composed of 5,668 tweets with binary annotations (i.e. 'hate' vs. 'no-hate').
- Licence : Inconnue
- Version : 1.0.0
- Fractionnements :
| Diviser | Exemples |
|---|---|
'train' | 5670 |
- Caractéristiques :
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"no-hate",
"hate"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"hatespeech_G1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"annotator_G1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"hatespeech_G2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"annotator_G2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"hatespeech_G3": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"annotator_G3": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
Références:
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:hate_speech_portuguese')
- Descriptif :
Portuguese dataset for hate speech detection composed of 5,668 tweets with binary annotations (i.e. 'hate' vs. 'no-hate').
- Licence : Inconnue
- Version : 1.0.0
- Fractionnements :
| Diviser | Exemples |
|---|---|
'train' | 5670 |
- Caractéristiques :
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"no-hate",
"hate"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"hatespeech_G1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"annotator_G1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"hatespeech_G2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"annotator_G2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"hatespeech_G3": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"annotator_G3": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}