อ้างอิง:
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:conv_questions')
- คำอธิบาย :
ConvQuestions is the first realistic benchmark for conversational question answering over knowledge graphs.
It contains 11,200 conversations which can be evaluated over Wikidata. The questions feature a variety of complex
question phenomena like comparisons, aggregations, compositionality, and temporal reasoning.
- ใบอนุญาต : CC BY 4.0
- เวอร์ชัน : 1.0.0
- แยก :
แยก | ตัวอย่าง |
---|---|
'test' | 2240 |
'train' | 6720 |
'validation' | 2240 |
- คุณสมบัติ :
{
"domain": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"seed_entity": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"seed_entity_text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"questions": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answers": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer_texts": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}