مراجع:
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:boolq')
- وصف :
BoolQ is a question answering dataset for yes/no questions containing 15942 examples. These questions are naturally
occurring ---they are generated in unprompted and unconstrained settings.
Each example is a triplet of (question, passage, answer), with the title of the page as optional additional context.
The text-pair classification setup is similar to existing natural language inference tasks.
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 0.1.0
- الإنشقاقات :
ينقسم | أمثلة |
---|---|
'train' | 9427 |
'validation' | 3270 |
- سمات :
{
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"dtype": "bool",
"id": null,
"_type": "Value"
},
"passage": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}