Sequence to Sequence Learning with Neural Networks

Sutskever et al., 2014, Sequence to Sequence Learning with Neural Networks (Advances in Neural Information Processing Systems 27 (NIPS 2014))

Subscriber deck — free during early access

1 cards in “3.1 Dataset details” · whole deck

3.1 Dataset details

  1. What data and vocabularies were used for the seq2seq experiments?
    A clean 12M-sentence subset of WMT’14 English–French (348M French and 304M English words); the 160,000 most frequent source words and 80,000 most frequent target words, with all other words replaced by UNK.

Source