Skip to content
/ doccano Public
forked from doccano/doccano

Open source text annotation tool for machine learning practitioner.

License

Notifications You must be signed in to change notification settings

openrm/doccano

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

doccano

Codacy Badge Build Status

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.

Demo

You can try the annotation demo.

Demo image

Features

  • Collaborative annotation
  • Multi-language support
  • Mobile support
  • Emoji 😄 support
  • Dark theme
  • RESTful API

Usage

Two options to run doccano:

  • production,
  • development.

To use doccano, please follow:

Install dependencies

You need to install dependencies:

Get the code

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

Production

Set the superuser account credentials in the docker-compose.prod.yml file:

ADMIN_USERNAME: "admin"
ADMIN_PASSWORD: "password"

Run doccano:

$ docker-compose -f docker-compose.prod.yml up

Go to https://0.0.0.0/.

Development

Set the superuser account credentials in the docker-compose.dev.yml file:

ADMIN_USERNAME: "admin"
ADMIN_PASSWORD: "password"

Run Doccano:

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

Go to https://127.0.0.1:3000/.

Add annotators (optionally)

If you want to add annotators/annotation approvers, see Frequently Asked Questions

One-click Deployment

Service Button
AWS1 AWS CloudFormation Launch Stack SVG Button
Azure Deploy to Azure
GCP2 GCP Cloud Run PNG Button
Heroku Deploy

Contribution

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

Citation

@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},
}

Contact

For help and feedback, please feel free to contact the author.

Footnotes

  1. (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.

  2. 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.

About

Open source text annotation tool for machine learning practitioner.

Resources

License

Code of conduct

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 41.7%
  • Vue 29.6%
  • JavaScript 17.4%
  • HTML 6.7%
  • CSS 2.7%
  • Shell 1.4%
  • Dockerfile 0.5%