MLQE-PE Dataset

The Multilingual Quality Estimation and Automatic Post-editing (MLQE-PE) Dataset is a dataset for Machine Translation (MT) Quality Estimation (QE) and Automatic Post-Editing (APE). The dataset contains seven language pairs, with human labels for 9,000 translations per language pair in the following formats: sentence-level direct assessments and post-editing effort, and word-level good/bad labels. It also contains the post-edited sentences, as well as titles of the articles where the sentences were extracted from, and the neural MT models used to translate the text.

《多语言质量评估与自动后编辑（MLQE-PE）数据集》系针对机器翻译（MT）质量评估（QE）与自动后编辑（APE）而构建的数据集。该数据集涵盖了七个语言对，包含每对语言中9000条翻译的人为标注，标注形式包括句子级别的直接评估及后编辑工作量，以及单词级别的优良标签。此外，数据集还包含了经过后编辑的句子，以及提取句子的文章标题，以及用于翻译文本的神经机器翻译（NMT）模型。