JFLEG-JA: Japanese Fluency-Extended GUG
Dataset Description
JFLEG-JA is a Japanese grammatical error correction (GEC) dataset inspired by the original JFLEG (JHU FLuency-Extended GUG) benchmark. It contains 1,335 Japanese sentences with grammatical errors, each accompanied by 4 human-quality corrections focusing on both grammaticality and fluency.