Riferimenti:
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:sciq')
- Descrizione :
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.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'test' | 1000 |
'train' | 11679 |
'validation' | 1000 |
- Caratteristiche :
{
"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"
}
}