social_bias_frames

อ้างอิง:

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:social_bias_frames')
  • คำอธิบาย :
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."
  • ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
  • เวอร์ชั่น : 0.0.0
  • แยก :
แยก ตัวอย่าง
'test' 17501
'train' 112900
'validation' 16738
  • คุณสมบัติ :
{
    "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"
    }
}