bbc_hindi_nli

ds = tfds.load('huggingface:bbc_hindi_nli/bbc hindi nli')

This dataset is used to train models for Natural Language Inference Tasks in Low-Resource Languages like Hindi.

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 2,
        "names": [
            "not-entailment",
            "entailment"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    },
    "topic": {
        "num_classes": 6,
        "names": [
            "india",
            "news",
            "international",
            "entertainment",
            "sport",
            "science"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}