References:
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:jfleg')
- Description:
JFLEG (JHU FLuency-Extended GUG) is an English grammatical error correction (GEC) corpus.
It is a gold standard benchmark for developing and evaluating GEC systems with respect to
fluency (extent to which a text is native-sounding) as well as grammaticality.
For each source document, there are four human-written corrections (ref0 to ref3).
- License: CC BY-NC-SA 4.0
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'test' |
748 |
'validation' |
755 |
- Features:
{
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"corrections": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}