Long-context / document-level dataset for Quality Estimation of Machine Translation.
It is an augmented variant of the sentence-level WMT DA Human Evaluation dataset.
In addition to individual sentences, it contains augmentations of 2, 4, 8, 16, and 32 sentences, among each language pair lp and domain.
The raw column represents a weighted average of scores of augmented sentences using character lengths of src and mt as weights.
The code used to apply the augmentation… See the full description on the dataset page:
https://huggingface.co/datasets/ymoslem/wmt-da-human-evaluation-long-context.
