halatlar

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

ROPES (Reasoning Over Paragraph Effects in Situations) is a QA dataset
which tests a system's ability to apply knowledge from a passage
of text to a new situation. A system is presented a background
passage containing a causal or qualitative relation(s) (e.g.,
"animal pollinators increase efficiency of fertilization in flowers"),
a novel situation that uses this background, and questions that require
reasoning about effects of the relationships in the background
passage in the background of the situation.

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "background": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "situation": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answers": {
        "feature": {
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}