อ้างอิง:
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:lc_quad')
- คำอธิบาย :
LC-QuAD 2.0 is a Large Question Answering dataset with 30,000 pairs of question and its corresponding SPARQL query. The target knowledge base is Wikidata and DBpedia, specifically the 2018 version. Please see our paper for details about the dataset creation process and framework.
- ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
- เวอร์ชัน : 2.0.0
- แยก :
แยก | ตัวอย่าง |
---|---|
'test' | 4781 |
'train' | 19293 |
- คุณสมบัติ :
{
"NNQT_question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"uid": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subgraph": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"template_index": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sparql_wikidata": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sparql_dbpedia18": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"template": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrased_question": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}