อ้างอิง:
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:qasc')
- คำอธิบาย :
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.
- ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
- เวอร์ชั่น : 0.1.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'test' | 920 |
'train' | 8134 |
'validation' | 926 |
- คุณสมบัติ :
{
"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"
}
}