Referencias:
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:drop')
- Descripción :
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.
- Licencia : Ninguna licencia conocida
- Versión : 0.1.0
- Divisiones :
| Dividir | Ejemplos |
|---|---|
'train' | 77400 |
'validation' | 9535 |
- Características :
{
"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"
}
}