مراجع:
نسخه 1.0
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:fever/v1.0')
- توضیحات :
With billions of individual pages on the web providing information on almost every conceivable topic, we should have the ability to collect facts that answer almost every conceivable question. However, only a small fraction of this information is contained in structured sources (Wikidata, Freebase, etc.) – we are therefore limited by our ability to transform free-form text to structured knowledge. There is, however, another problem that has become the focus of a lot of recent research and media coverage: false information coming from unreliable sources. [1] [2]
The FEVER workshops are a venue for work in verifiable knowledge extraction and to stimulate progress in this direction.
FEVER V1.0
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 1.0.0
- تقسیمات :
تقسیم کنید | نمونه ها |
---|---|
'labelled_dev' | 37566 |
'paper_dev' | 18999 |
'paper_test' | 18567 |
'train' | 311431 |
'unlabelled_dev' | 19998 |
'unlabelled_test' | 19998 |
- ویژگی ها :
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"claim": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"evidence_annotation_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"evidence_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"evidence_wiki_url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"evidence_sentence_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
نسخه 2.0
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:fever/v2.0')
- توضیحات :
With billions of individual pages on the web providing information on almost every conceivable topic, we should have the ability to collect facts that answer almost every conceivable question. However, only a small fraction of this information is contained in structured sources (Wikidata, Freebase, etc.) – we are therefore limited by our ability to transform free-form text to structured knowledge. There is, however, another problem that has become the focus of a lot of recent research and media coverage: false information coming from unreliable sources. [1] [2]
The FEVER workshops are a venue for work in verifiable knowledge extraction and to stimulate progress in this direction.
FEVER V2.0
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 2.0.0
- تقسیمات :
تقسیم کنید | نمونه ها |
---|---|
'validation' | 2384 |
- ویژگی ها :
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"claim": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"evidence_annotation_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"evidence_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"evidence_wiki_url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"evidence_sentence_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
wiki_pages
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:fever/wiki_pages')
- توضیحات :
With billions of individual pages on the web providing information on almost every conceivable topic, we should have the ability to collect facts that answer almost every conceivable question. However, only a small fraction of this information is contained in structured sources (Wikidata, Freebase, etc.) – we are therefore limited by our ability to transform free-form text to structured knowledge. There is, however, another problem that has become the focus of a lot of recent research and media coverage: false information coming from unreliable sources. [1] [2]
The FEVER workshops are a venue for work in verifiable knowledge extraction and to stimulate progress in this direction.
Wikipedia pages
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 1.0.0
- تقسیمات :
تقسیم کنید | نمونه ها |
---|---|
'wikipedia_pages' | 5416537 |
- ویژگی ها :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lines": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}