Références :
sagesse1000
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:wisesight1000/wisesight1000')
- Description :
- Licence : CC-0 3.0
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'train' | 993 |
- Caractéristiques :
{
"char": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"char_type": {
"feature": {
"num_classes": 12,
"names": [
"b_e",
"c",
"d",
"n",
"o",
"p",
"q",
"s",
"s_e",
"t",
"v",
"w"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"is_beginning": {
"feature": {
"num_classes": 2,
"names": [
"neg",
"pos"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}