boolq

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

BoolQ is a question answering dataset for yes/no questions containing 15942 examples. These questions are naturally
occurring ---they are generated in unprompted and unconstrained settings.
Each example is a triplet of (question, passage, answer), with the title of the page as optional additional context.
The text-pair classification setup is similar to existing natural language inference tasks.

{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "passage": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}