équipe

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"
    }
}