Datasets › MLQE

MLQE (MultiLingual Quality Estimation)

Introduced by Marina Fomicheva et al. in Unsupervised Quality Estimation for Neural Machine Translation archive 2025-07-28

The MLQE dataset is a dataset for sentence-level Machine Translation Quality Estimation. It consists of 6 language pairs representing NMT training in high, medium, and low-resource scenarios. The corpus is extracted from Wikipedia, and 10K segments per language pair are annotated.

Source: https://github.com/facebookresearch/mlqe

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 5 papers for it but never published that list.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • MLQE

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections