sciq

Références:

Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :

ds = tfds.load('huggingface:sciq')
  • Descriptif :
The SciQ dataset contains 13,679 crowdsourced science exam questions about Physics, Chemistry and Biology, among others. The questions are in multiple-choice format with 4 answer options each. For the majority of the questions, an additional paragraph with supporting evidence for the correct answer is provided.
  • Licence : Aucune licence connue
  • Version : 0.1.0
  • Fractionnements :
Diviser Exemples
'test' 1000
'train' 11679
'validation' 1000
  • Caractéristiques :
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "distractor3": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "distractor1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "distractor2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "support": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}