Download the datasets from https://mozi.ai/datasets

Note: The datasets are compressed and you have to extract the files before using them.

Create datasets folder in your home directory and move the extracted datasets to that directory

Create results folder in your home directory and define a RESULT_DIR environment variable that points to the directory. This is where the scheme results will be stored.

cd $HOME
mkdir results 
export RESULT_DIR=$HOME/results

Define the following Environment variables.

 $ export SERVICE_ADDR=localhost

 $ export GRPC_ADDR=http://localhost:3001

 $ export RESULT_ADDR=http://localhost:3002
 
 $ export DATASET=$HOME/datasets

Clone the Project and checkout to the development branch.

git clone --recursive https://github.com/MOZI-AI/annotation-service.git

Build & Run the atomspace-rpc server. You can get the instructions on the githup repo here.

• Make sure you use --host 0.0.0.0 option while starting the server
• If you use a custom port (other than 50051), make sure to update the port in the ATOM_SERVER env variable in docker-compose-dev.yml

Go the project directory and Start the services

 docker-compose -f docker-compose-dev.yml up --build

You should be able to access the annotation service UI at

http://localhost:3003