ソーシャルバイアスフレーム

参考文献:

次のコマンドを使用して、このデータセットを TFDS にロードします。

ds = tfds.load('huggingface:social_bias_frames')
  • 説明
Social Bias Frames is a new way of representing the biases and offensiveness that are implied in language.
For example, these frames are meant to distill the implication that "women (candidates) are less qualified"
behind the statement "we shouldn’t lower our standards to hire more women."
  • ライセンス: 不明なライセンス
  • バージョン: 0.0.0
  • 分割:
スプリット
'test' 17501
'train' 112900
'validation' 16738
  • 特徴
{
    "whoTarget": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "intentYN": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sexYN": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sexReason": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "offensiveYN": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "annotatorGender": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "annotatorMinority": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sexPhrase": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "speakerMinorityYN": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "WorkerId": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "HITId": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "annotatorPolitics": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "annotatorRace": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "annotatorAge": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "post": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "targetMinority": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "targetCategory": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "targetStereotype": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "dataSource": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}