مراجع:
حواس پرتی
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:hotpot_qa/distractor')
- توضیحات :
HotpotQA is a new dataset with 113k Wikipedia-based question-answer pairs with four key features: (1) the questions require finding and reasoning over multiple supporting documents to answer; (2) the questions are diverse and not constrained to any pre-existing knowledge bases or knowledge schemas; (3) we provide sentence-level supporting facts required for reasoning, allowingQA systems to reason with strong supervisionand explain the predictions; (4) we offer a new type of factoid comparison questions to testQA systems’ ability to extract relevant facts and perform necessary comparison.
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 1.0.0
- تقسیم ها :
| تقسیم کنید | نمونه ها |
|---|---|
'train' | 90447 |
'validation' | 7405 |
- ویژگی ها :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"dtype": "string",
"id": null,
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},
"level": {
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"_type": "Value"
},
"supporting_facts": {
"feature": {
"title": {
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},
"sent_id": {
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"context": {
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"sentences": {
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},
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}
}
کامل ویکی
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:hotpot_qa/fullwiki')
- توضیحات :
HotpotQA is a new dataset with 113k Wikipedia-based question-answer pairs with four key features: (1) the questions require finding and reasoning over multiple supporting documents to answer; (2) the questions are diverse and not constrained to any pre-existing knowledge bases or knowledge schemas; (3) we provide sentence-level supporting facts required for reasoning, allowingQA systems to reason with strong supervisionand explain the predictions; (4) we offer a new type of factoid comparison questions to testQA systems’ ability to extract relevant facts and perform necessary comparison.
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 1.0.0
- تقسیم ها :
| تقسیم کنید | نمونه ها |
|---|---|
'test' | 7405 |
'train' | 90447 |
'validation' | 7405 |
- ویژگی ها :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
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"id": null,
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},
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},
"type": {
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},
"level": {
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},
"supporting_facts": {
"feature": {
"title": {
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},
"sent_id": {
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},
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},
"context": {
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},
"sentences": {
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},
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}
},
"length": -1,
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}
}