jfleg

ds = tfds.load('huggingface:jfleg')

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).

{
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "corrections": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}