Fact Checking via Knowledge Graph Rules and Embeddings

We've included a Docker setup for our tutorials to make setup easy. First, make sure you have Docker installed on your machine. To build and run a Docker image for a tutorial, use scripts/docker_launch.py with the --build flag.

python3 scripts/docker_launch.py notebook --build

Building a Docker image from scratch can take anywhere between 5 and 30 minutes depending on the machine you're using. We're working on making prebuilt images available via DockerHub.

Once the image has been built, a Jupyter notebook server will be available on port 8888 (you can change the port with the --port command line option) and print out a link you can follow to access the browser interface. In your browser, open a .ipynb file you would like to run — such as 01_spam_tutorial.ipynb — and execute the cells in sequence.

Once you've built a tutorial-specific image for the first time, you can run it without the --build flag:

python3 scripts/docker_launch.py notebook