RNNLG is a research toolkit released by Cambridge Dialogue Systems Group that provides benchmark datasets and reference implementations for training deep learning models on Natural Language Generation tasks in dialogue systems. The toolkit includes four domain-specific datasets (restaurant, hotel, laptop, TV search) along with cross-domain counterfeited datasets, and implements neural network training using Theano for model development and Numpy for efficient decoding.