열

참고자료:

• 암호
• 포옹하는 얼굴

v1.0

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:fever/v1.0')

• 설명 :

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

• 라이센스 : 알려진 라이센스 없음
• 버전 : 1.0.0
• 분할 :

• 특징 :

{
    "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"
    }
}

v2.0

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:fever/v2.0')

• 설명 :

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

• 라이센스 : 알려진 라이센스 없음
• 버전 : 2.0.0
• 분할 :

• 특징 :

{
    "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

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:fever/wiki_pages')

• 설명 :

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

• 라이센스 : 알려진 라이센스 없음
• 버전 : 1.0.0
• 분할 :

• 특징 :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "lines": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}