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"
}
}