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# Dataset Summary
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**Long-context / document-level**
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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
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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.
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