References:
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:qasc')
- Description:
QASC is a question-answering dataset with a focus on sentence composition. It consists of 9,980 8-way multiple-choice
questions about grade school science (8,134 train, 926 dev, 920 test), and comes with a corpus of 17M sentences.
- License: No known license
- Version: 0.1.0
- Splits:
| Split | Examples |
|---|---|
'test' |
920 |
'train' |
8134 |
'validation' |
926 |
- Features:
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"fact1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"fact2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"combinedfact": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"formatted_question": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}