doccano 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.
You can try the annotation demo.
- Collaborative annotation
- Multi-language support
- Mobile support
- Emoji ๐ support
- Dark theme
- RESTful API
Two options to run doccano:
- Production
- Development
In any case, you need Docker and Docker Compose. Anyway, you need to clone the repository:
$ git clone https://github.com/doccano/doccano.git
$ cd doccano
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.
git clone https://github.com/doccano/doccano.git --config core.autocrlf=input
$ docker-compose -f docker-compose.prod.yml up
Go to http://0.0.0.0/.
Note the superuser account credentials located in the docker-compose.prod.yml
file:
ADMIN_USERNAME: "admin"
ADMIN_PASSWORD: "password"
Note: If you want to add annotators, see Frequently Asked Questions
$ docker-compose -f docker-compose.dev.yml up
Go to http://127.0.0.1:3000/.
Service | Button |
---|---|
AWS1 | |
Azure | |
GCP2 | |
Heroku |
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, please feel free to contact the author.
Footnotes
-
(1) EC2 KeyPair cannot be created automatically, so make sure you have an existing EC2 KeyPair in one region. Or create one yourself. (2) If you want to access doccano via HTTPS in AWS, here is an instruction. โฉ
-
Although this is a very cheap option, it is only suitable for very small teams (up to 80 concurrent requests). Read more on Cloud Run docs. โฉ