This repo is fork from the open sources doccano repository modified to be used by Turkish medical doctors to crowdsource machine learning models.
Healdash is an open source text annotation tool for humans. It provides annotation features for text classification, sequence labeling and sequence to sequence tasks. So, you can create labeled data for sentiment analysis, named entity recognition, text summarization and so on. Just create a project, upload data and start annotating. You can build a dataset in hours.
- Collaborative annotation
- Multi-language support
- Mobile support
- Emoji 😄 support
- Dark theme
- RESTful API
Three options to run healdash:
- pip(experimental)
- Docker
- Docker Compose
- production
- development
For docker and docker compose, you need to install dependencies:
To install healdash, simply run:
pip install doccano
After installation, simply run the following command:
# Initialize database.
doccano init
# Create a super user.
doccano createuser --username admin --password pass
# Start the webserver.
doccano webserver --port 8000
And in another terminal, run the following command:
# Start the task queue.
doccano task
Go to http://0.0.0.0:8000/.
As a one-time setup, create a Docker container as follows:
docker pull doccano/doccano
docker container create --name doccano \
-e "ADMIN_USERNAME=admin" \
-e "ADMIN_EMAIL=admin@example.com" \
-e "ADMIN_PASSWORD=password" \
-p 8000:8000 doccano/doccano
Next, start healdash by running the container:
docker container start doccano
To stop the container, run docker container stop healdash -t 5
.
All data created in the container will persist across restarts.
Go to http://127.0.0.1:8000/.
You need to clone the repository:
git clone https://github.com/gasci/doccano-dash.git
cd doccano-dash
Note for Windows developers: Be sure to configure git to correctly handle line endings or you may encounter status code 127
errors while running the services in future steps. Running with the git config options below will ensure your git directory correctly handles line endings.
Try to use docker-compose -f docker-compose.prod.yml build
and then docker-compose -f docker-compose.prod.yml up
git clone https://github.com/gasci/doccano-dash.git --config core.autocrlf=input
Set the superuser account credentials in the docker-compose.prod.yml
file:
ADMIN_USERNAME: "admin"
ADMIN_PASSWORD: "password"
If you use Google Analytics, set the tracking:
GOOGLE_TRACKING_ID: "UA-12345678-1"
Run healdash:
$ docker-compose -f docker-compose.prod.yml up
Go to http://0.0.0.0/.
Set the superuser account credentials in the docker-compose.dev.yml
file:
ADMIN_USERNAME: "admin"
ADMIN_PASSWORD: "password"
Run healdash:
$ docker-compose -f docker-compose.dev.yml up
Go to http://127.0.0.1:3000/.
Run Backend API-Tests:
You can run the API-Tests for the backend with the following command:
docker exec doccano_backend_1 pipenv run app/manage.py test api
As with any software, healdash is under continuous development. If you have requests for features, please file an issue describing your request. Also, if you want to see work towards a specific feature, feel free to contribute by working towards it. The standard procedure is to fork the repository, add a feature, fix a bug, then file a pull request that your changes are to be merged into the main repository and included in the next release.
@misc{doccano,
title={{doccano}: Text Annotation Tool for Human},
url={https://github.com/doccano/doccano},
note={Software available from https://github.com/doccano/doccano},
author={
Hiroki Nakayama and
Takahiro Kubo and
Junya Kamura and
Yasufumi Taniguchi and
Xu Liang},
year={2018},
}
For help and feedback, please feel free to contact the original author.