सामाजिक_पूर्वाग्रह_फ़्रेम

सन्दर्भ:

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:social_bias_frames')
  • विवरण :
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 shouldnt lower our standards to hire more women."
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 0.0.0
  • विभाजन :
विभाजित करना उदाहरण
'test' 17501
'train' 112900
'validation' 16738
  • विशेषताएँ :
{
    "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"
    }
}