You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 
Hironsan 3c6eedb244 Update pydantic version 1 year ago
..
api Deny member to delete label types when allow_member_to_create_label_type is True 1 year ago
auto_labeling Add ProjectType as a enumeration type 1 year ago
config Enable support for S3 compatible storage providers 1 year ago
data_export Add ProjectType as a enumeration type 1 year ago
data_import Update pydantic version 1 year ago
examples Update ExampleFilter to filter by label name 1 year ago
label_types Deny member to delete label types when allow_member_to_create_label_type is True 1 year ago
labels Add ProjectType as a enumeration type 1 year ago
metrics Add ProjectType as a enumeration type 1 year ago
projects Update pydantic version 1 year ago
roles Apply isort 2 years ago
social fix lint issue 2 years ago
users Add user creation api 2 years ago
README.md Add README.md to backend 2 years ago
__init__.py Rename app dir to backend for pip installation 3 years ago
cli.py Avoid to read env file if it is not a file 1 year ago
manage.py Split settings.py 2 years ago
poetry.lock Update pydantic version 1 year ago
pyproject.toml Update pydantic version 1 year ago

README.md

doccano

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

Installation

To install doccano, simply 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 DATABASE_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 following command:

# Start the task queue to handle file upload/download.
doccano task

Go to http://127.0.0.1:8000/.

FAQ

See the documentation for details.

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.