hyperpartisan_news_Detection

참고자료:

• 암호
• 포옹하는 얼굴

기사별

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:hyperpartisan_news_detection/byarticle')

• 설명 :

Hyperpartisan News Detection was a dataset created for PAN @ SemEval 2019 Task 4.
Given a news article text, decide whether it follows a hyperpartisan argumentation, i.e., whether it exhibits blind, prejudiced, or unreasoning allegiance to one party, faction, cause, or person.

There are 2 parts:
- byarticle: Labeled through crowdsourcing on an article basis. The data contains only articles for which a consensus among the crowdsourcing workers existed.
- bypublisher: Labeled by the overall bias of the publisher as provided by BuzzFeed journalists or MediaBiasFactCheck.com.

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

나뉘다	예
'train'	645

• 특징 :

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "title": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hyperpartisan": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "url": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "published_at": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

출판사

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:hyperpartisan_news_detection/bypublisher')

• 설명 :

Hyperpartisan News Detection was a dataset created for PAN @ SemEval 2019 Task 4.
Given a news article text, decide whether it follows a hyperpartisan argumentation, i.e., whether it exhibits blind, prejudiced, or unreasoning allegiance to one party, faction, cause, or person.

There are 2 parts:
- byarticle: Labeled through crowdsourcing on an article basis. The data contains only articles for which a consensus among the crowdsourcing workers existed.
- bypublisher: Labeled by the overall bias of the publisher as provided by BuzzFeed journalists or MediaBiasFactCheck.com.

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

나뉘다	예
'train'	600000
'validation'	600000

• 특징 :

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "title": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hyperpartisan": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "url": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "published_at": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "bias": {
        "num_classes": 5,
        "names": [
            "right",
            "right-center",
            "least",
            "left-center",
            "left"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}