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  # Dataset Summary
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- **Long-context / document-level** variant of the WMT DA Human Evaluation dataset.
 
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  In addition to individual sentences, it contains augmentations of 2, 4, 8, 16, and 32 sentences, among each language pair `lp` and `domain`.
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- The `raw` column represents a weighted average of scores of augmented sentences using character lengths of or `src` and `mt` as weights.
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  The code used to apply the augmentation can be found [here](https://github.com/ymoslem/datasets/blob/main/LongContextQE/Long-Context-MT-QE-WMT.ipynb).
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  This dataset contains all DA human annotations from previous WMT News Translation shared tasks.
 
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  # Dataset Summary
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+ **Long-context / document-level** dataset for Quality Estimation of Machine Translation.
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+ It is an augmented variant of the sentence-level WMT DA Human Evaluation dataset.
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  In addition to individual sentences, it contains augmentations of 2, 4, 8, 16, and 32 sentences, among each language pair `lp` and `domain`.
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+ The `raw` column represents a weighted average of scores of augmented sentences using character lengths of `src` and `mt` as weights.
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  The code used to apply the augmentation can be found [here](https://github.com/ymoslem/datasets/blob/main/LongContextQE/Long-Context-MT-QE-WMT.ipynb).
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  This dataset contains all DA human annotations from previous WMT News Translation shared tasks.