kor_sae

ds = tfds.load('huggingface:kor_sae')

This new dataset is designed to extract intent from non-canonical directives which will help dialog managers
extract intent from user dialog that may have no clear objective or are paraphrased forms of utterances.

{
    "intent_pair1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "intent_pair2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 6,
        "names": [
            "yes/no",
            "alternative",
            "wh- questions",
            "prohibitions",
            "requirements",
            "strong requirements"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}