ไข้

อ้างอิง:

เวอร์ชัน 1.0

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:fever/v1.0')
  • คำอธิบาย :
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
  • ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
  • เวอร์ชัน : 1.0.0
  • แยก :
แยก ตัวอย่าง
'labelled_dev' 37566
'paper_dev' 18999
'paper_test' 18567
'train' 311431
'unlabelled_dev' 19998
'unlabelled_test' 19998
  • คุณสมบัติ :
{
    "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"
    }
}

เวอร์ชัน 2.0

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:fever/v2.0')
  • คำอธิบาย :
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
  • ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
  • เวอร์ชัน : 2.0.0
  • แยก :
แยก ตัวอย่าง
'validation' 2384
  • คุณสมบัติ :
{
    "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

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:fever/wiki_pages')
  • คำอธิบาย :
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
  • ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
  • เวอร์ชัน : 1.0.0
  • แยก :
แยก ตัวอย่าง
'wikipedia_pages' 5416537
  • คุณสมบัติ :
{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "lines": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}