อ้างอิง:
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:sciq')
- คำอธิบาย :
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.
- ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
- เวอร์ชั่น : 0.1.0
- แยก :
แยก | ตัวอย่าง |
---|---|
'test' | 1,000 |
'train' | 11679 |
'validation' | 1,000 |
- คุณสมบัติ :
{
"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"
}
}