Références :
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:fquad')
- Description :
FQuAD: French Question Answering Dataset
We introduce FQuAD, a native French Question Answering Dataset. FQuAD contains 25,000+ question and answer pairs.
Finetuning CamemBERT on FQuAD yields a F1 score of 88% and an exact match of 77.9%.
- Licence : Aucune licence connue
- Version : 0.1.0
- Divisions :
Diviser | Exemples |
---|---|
'train' | 4921 |
'validation' | 768 |
- Caractéristiques :
{
"context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"questions": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answers": {
"feature": {
"texts": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answers_starts": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}