MLQE-PE (Multilingual Quality Estimation and Automatic Post-editing Dataset)

Introduced by Fomicheva et al. in MLQE-PE: A Multilingual Quality Estimation and Post-Editing 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.



Paper Code Results Date Stars

Dataset Loaders


Similar Datasets