落とす

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

DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.
. DROP is a crowdsourced, adversarially-created, 96k-question benchmark, in which a system must resolve references in a
question, perhaps to multiple input positions, and perform discrete operations over them (such as addition, counting, or
 sorting). These operations require a much more comprehensive understanding of the content of paragraphs than what was
 necessary for prior datasets.

{
    "section_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "query_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "passage": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answers_spans": {
        "feature": {
            "spans": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "types": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}