References:
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:gap')
- Description:
GAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of
(ambiguous pronoun, antecedent name), sampled from Wikipedia and released by
Google AI Language for the evaluation of coreference resolution in practical
applications.
- License: No known license
- Version: 0.1.0
- Splits:
| Split | Examples |
|---|---|
'test' |
2000 |
'train' |
2000 |
'validation' |
454 |
- Features:
{
"ID": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Pronoun": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Pronoun-offset": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"A": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"A-offset": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"A-coref": {
"dtype": "bool",
"id": null,
"_type": "Value"
},
"B": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"B-offset": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"B-coref": {
"dtype": "bool",
"id": null,
"_type": "Value"
},
"URL": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}