सपना, सपना

ds = tfds.load('huggingface:dream/plain_text')

DREAM is a multiple-choice Dialogue-based REAding comprehension exaMination dataset. In contrast to existing reading comprehension datasets, DREAM is the first to focus on in-depth multi-turn multi-party dialogue understanding.

{
    "id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "dialogue_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "dialogue": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choice": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ds = tfds.load('huggingface:dream/plain_text')

DREAM is a multiple-choice Dialogue-based REAding comprehension exaMination dataset. In contrast to existing reading comprehension datasets, DREAM is the first to focus on in-depth multi-turn multi-party dialogue understanding.

{
    "id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "dialogue_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "dialogue": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choice": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}