BOUQuET : dataset, Benchmark and Open initiative for Universal Quality Evaluation in Translation

BOUQuET is a multi-way, multicentric and multi-register/domain dataset and benchmark, and a broader collaborative initiative. This dataset is handcrafted in 8 non-English languages. Each of these source languages are representative of the most widely spoken ones and therefore they have the potential to serve as pivot languages that will enable more accurate translations. The dataset is multicentric to enforce representation of multilingual language features. In addition, the dataset goes beyond the sentence level, as it is organized in paragraphs of various lengths. Compared with related machine translation datasets, we show that BOUQuET has a broader representation of domains while simplifying the translation task for non-experts. Therefore, BOUQuET is specially suitable for crowd-source extension for which we are launching a call aiming at collecting a multi-way parallel corpus covering any written language. The dataset is freely available at https://huggingface.co/ datasets/facebook/bouquet . Column A: Lang-ID This column should have the same 3-lowercase-letter code representing the source language of the sentences being created followed by an underscore character ( ) and a 4-letter code representing the script. Column B: Domain This is 1 of the 8 domains represented in the dataset (see Section 3.1).