This repository contains a script to generate question/answer pairs using CNN and Daily Mail articles downloaded from the Wayback Machine.
For a detailed description of this corpus please read: Teaching Machines to Read and Comprehend, Hermann et al., NIPS 2015. Please cite the paper if you use this corpus in your work.
@inproceedings{nips15_hermann,
author = {Karl Moritz Hermann and Tom\'a\v{s} Ko\v{c}isk\'y and Edward Grefenstette and Lasse Espeholt and Will Kay and Mustafa Suleyman and Phil Blunsom},
title = {Teaching Machines to Read and Comprehend},
url = {http://arxiv.org/abs/1506.03340},
booktitle = "Advances in Neural Information Processing Systems (NIPS)",
year = "2015",
}
Python 2.7, wget, libxml2, libxslt and virtualenv. libxml2 must be
version 2.9.1.
sudo pip install virtualenv
mkdir rc-data
cd rc-data
wget https://github.com/deepmind/rc-data/raw/master/generate_questions.py
wget https://storage.googleapis.com/deepmind-data/20150824/data.tar.gz -O - | tar -xz --strip-components=1
The news article metadata is ~1 GB.
virtualenv venv
source venv/bin/activate
pip install lxml==3.3.3
pip install cchardet==0.3.5
pip install requests==2.2.1
You may need to install libxml2 development packages to install lxml:
sudo apt-get install libxml2-dev libxslt-dev
python generate_questions.py --corpus=[cnn/dailymail] --mode=download
This will download news articles from the Wayback Machine. Some URLs may be unavailable. The script can be run again and will cache URLs that already have been downloaded. Generation of questions can run without all URLs downloaded successfully.
python generate_questions.py --corpus=[cnn/dailymail] --mode=generate
Note, this will generate ~1,000,000 small files for the Daily Mail so an SSD is preferred.
Questions are stored in [cnn/dailymail]/questions/ in the following format:
[URL]
[Context]
[Question]
[Answer]
[Entity mapping]
deactivate