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Open source annotation tool for machine learning practitioners.
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doccano/doccano
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doccano is an open-source text annotation tool for humans. It provides annotation features for text classification, sequence labeling, and sequence to sequence tasks. 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.
Try theannotation demo.
Read the documentation athttps://doccano.github.io/doccano/.
- Collaborative annotation
- Multi-language support
- Mobile support
- Emoji 😄 support
- Dark theme
- RESTful API
There are three options to run doccano:
- pip (Python 3.8+)
- Docker
- Docker Compose
To install doccano, run:
pip install doccano
By default, SQLite 3 is used for the default database. If you want to use PostgreSQL, install the additional dependencies:
pip install'doccano[postgresql]'
and set theDATABASE_URL
environment variable according to your PostgreSQL credentials:
DATABASE_URL="postgres://${POSTGRES_USER}:${POSTGRES_PASSWORD}@${POSTGRES_HOST}:${POSTGRES_PORT}/${POSTGRES_DB}?sslmode=disable"
After installation, run the following commands:
# Initialize database.doccano init# Create a super user.doccano createuser --username admin --password pass# Start a web server.doccano webserver --port 8000
In another terminal, run the command:
# Start the task queue to handle file upload/download.doccano task
Go tohttp://127.0.0.1:8000/.
As a one-time setup, create a Docker container as follows:
docker pull doccano/doccanodocker container create --name doccano \ -e"ADMIN_USERNAME=admin" \ -e"ADMIN_EMAIL=admin@example.com" \ -e"ADMIN_PASSWORD=password" \ -v doccano-db:/data \ -p 8000:8000 doccano/doccano
Next, start doccano by running the container:
docker container start doccano
Go tohttp://127.0.0.1:8000/.
To stop the container, rundocker container stop doccano -t 5
. All data created in the container will persist across restarts.
If you want to use the latest features, specify thenightly
tag:
docker pull doccano/doccano:nightly
You need to install Git and clone the repository:
git clone https://github.com/doccano/doccano.gitcd doccano
Note for Windows developers: Be sure to configure git to correctly handle line endings or you may encounterstatus 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.
git clone https://github.com/doccano/doccano.git --config core.autocrlf=input
Then, create an.env
file with variables in the following format (see./docker/.env.example):
# platform settingsADMIN_USERNAME=adminADMIN_PASSWORD=passwordADMIN_EMAIL=admin@example.com# rabbit mq settingsRABBITMQ_DEFAULT_USER=doccanoRABBITMQ_DEFAULT_PASS=doccano# database settingsPOSTGRES_USER=doccanoPOSTGRES_PASSWORD=doccanoPOSTGRES_DB=doccano
After running the following command, accesshttp://127.0.0.1/.
docker-compose -f docker/docker-compose.prod.yml --env-file .env up
Service | Button |
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AWS1 | |
Heroku |
See thedocumentation for details.
As with any software, doccano 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.
Here are some tips might be helpful.How to Contribute to Doccano Project
@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, feel free to contactthe author.
Footnotes
(1) EC2 KeyPair cannot be created automatically, so make sure you have an existing EC2 KeyPair in one region. Orcreate one yourself. (2) If you want to access doccano via HTTPS in AWS, here is aninstruction.↩
About
Open source annotation tool for machine learning practitioners.