If people are interested in playing with the dataset from "Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks", I added an example to Keras

If people are interested in playing with the dataset from "Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks", I added an example to Keras that uses recurrent neural networks[1]. It achieves similar accuracy to the baseline LSTM approach in the paper. I also did a write-up that explains the task and architecture[2]. The dataset (bAbi tasks[3]) released by Facebook is interesting but has a number of limitations. The code used to produce it is also not open source. If someone has the interest and/or past experience in MUD style environments, creating an open source dataset would be amazing! [1]: https://github.com/fchollet/keras/blob/master/examples/babi_rnn.py https://github.com/fchollet/keras/blob/master/examples/babi_... [2]: http://smerity.com/articles/2015/keras_qa.html http://smerity.com/articles/2015/keras_qa.html [3]: https://research.facebook.com/researchers/1543934539189348 https://research.facebook.com/researchers/1543934539189348