References:
intersentence
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:stereoset/intersentence')
- Description:
Stereoset is a dataset that measures stereotype bias in language models. Stereoset consists of 17,000 sentences that
measures model preferences across gender, race, religion, and profession.
- License: CC BY-SA 4.0
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'validation' |
2123 |
- Features:
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"bias_type": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentences": {
"feature": {
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"label": {
"num_classes": 4,
"names": [
"anti-stereotype",
"stereotype",
"unrelated",
"related"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"human_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"gold_label": {
"num_classes": 3,
"names": [
"anti-stereotype",
"stereotype",
"unrelated"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
intrasentence
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:stereoset/intrasentence')
- Description:
Stereoset is a dataset that measures stereotype bias in language models. Stereoset consists of 17,000 sentences that
measures model preferences across gender, race, religion, and profession.
- License: CC BY-SA 4.0
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'validation' |
2106 |
- Features:
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"bias_type": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentences": {
"feature": {
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"label": {
"num_classes": 4,
"names": [
"anti-stereotype",
"stereotype",
"unrelated",
"related"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"human_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"gold_label": {
"num_classes": 3,
"names": [
"anti-stereotype",
"stereotype",
"unrelated"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}