WMT 2014 English–French is the English↔French parallel corpus collection used in the shared translation tasks of the Ninth Workshop on Statistical Machine Translation (WMT14). It is a news-domain translation benchmark assembled from multiple parallel corpora (e.g., Europarl, Common Crawl, News Commentary and others) and is widely used for training and evaluation of machine translation models. The standard evaluation/test set from this campaign is newstest2014 (commonly referred to as WMT14 newstest2014). In the "Attention Is All You Need" paper (arXiv:1706.03762) the authors state they trained on ~36M sentence pairs and report results on newstest2014; dataset splits and exact counts can vary depending on preprocessing and filtering (the Hugging Face wmt/wmt14 fr-en view lists ~40.8M fr-en sentence pairs for one collected version). Commonly used resources and mirrors for WMT14 include the official WMT14 website (statmt.org) and dataset pages on Hugging Face and TensorFlow Datasets.
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