boolq

References:

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:boolq')
  • Description:
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.
  • License: No known license
  • Version: 0.1.0
  • Splits:
Split Examples
'train' 9427
'validation' 3270
  • Features:
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "passage": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}