مراجع:
نور
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:ambig_qa/light')
- توضیحات :
AmbigNQ, a dataset covering 14,042 questions from NQ-open, an existing open-domain QA benchmark. We find that over half of the questions in NQ-open are ambiguous. The types of ambiguity are diverse and sometimes subtle, many of which are only apparent after examining evidence provided by a very large text corpus. AMBIGNQ, a dataset with
14,042 annotations on NQ-OPEN questions containing diverse types of ambiguity.
We provide two distributions of our new dataset AmbigNQ: a full version with all annotation metadata and a light version with only inputs and outputs.
- مجوز : CC BY-SA 3.0
- نسخه : 1.0.0
- تقسیمات :
| تقسیم کنید | نمونه ها |
|---|---|
'train' | 10036 |
'validation' | 2002 |
- ویژگی ها :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"annotations": {
"feature": {
"type": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"qaPairs": {
"feature": {
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
کامل
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:ambig_qa/full')
- توضیحات :
AmbigNQ, a dataset covering 14,042 questions from NQ-open, an existing open-domain QA benchmark. We find that over half of the questions in NQ-open are ambiguous. The types of ambiguity are diverse and sometimes subtle, many of which are only apparent after examining evidence provided by a very large text corpus. AMBIGNQ, a dataset with
14,042 annotations on NQ-OPEN questions containing diverse types of ambiguity.
We provide two distributions of our new dataset AmbigNQ: a full version with all annotation metadata and a light version with only inputs and outputs.
- مجوز : CC BY-SA 3.0
- نسخه : 1.0.0
- تقسیمات :
| تقسیم کنید | نمونه ها |
|---|---|
'train' | 10036 |
'validation' | 2002 |
- ویژگی ها :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"annotations": {
"feature": {
"type": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"qaPairs": {
"feature": {
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"viewed_doc_titles": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"used_queries": {
"feature": {
"query": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"results": {
"feature": {
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"snippet": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"nq_answer": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"nq_doc_title": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}