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<div align="center"> <img src="https://raw.githubusercontent.com/doccano/doccano/master/docs/images/logo/doccano.png"></div>
# doccano
[](https://www.codacy.com/gh/doccano/doccano/dashboard?utm_source=github.com&utm_medium=referral&utm_content=doccano/doccano&utm_campaign=Badge_Grade)[](https://github.com/doccano/doccano/actions/workflows/ci.yml)
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](http://doccano.herokuapp.com).
## Features
- Collaborative annotation- Multi-language support- Mobile support- Emoji :smile: support- Dark theme- RESTful API
## Usage
Three options to run doccano:
- pip(experimental)- Docker- Docker Compose - production - development
For docker and docker compose, you need to install dependencies:
- [Git](https://git-scm.com)- [Docker](https://www.docker.com)- [Docker Compose](https://docs.docker.com/compose)
### pip installation
To install doccano, simply run:
```bashpip install doccano```
After installation, simply run the following command:
```bash# 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:
```bash# Start the task queue.
doccano task```
Go to <http://0.0.0.0:8000/>.
### Docker
As a one-time setup, create a Docker container as follows:
```bashdocker pull doccano/doccanodocker 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 doccano by running the container:
```bashdocker container start doccano```
To stop the container, run `docker container stop doccano -t 5`.All data created in the container will persist across restarts.
Go to <http://127.0.0.1:8000/>.
### Docker Compose
You need to clone the repository:
```bashgit 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 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.
```bashgit clone https://github.com/doccano/doccano.git --config core.autocrlf=input```
#### Production
Set the superuser account credentials in the `docker-compose.prod.yml` file:
```ymlADMIN_USERNAME: "admin"ADMIN_PASSWORD: "password"```
If you use Google Analytics, set the tracking:
```ymlGOOGLE_TRACKING_ID: "UA-12345678-1"```
Run doccano:
```bash$ docker-compose -f docker-compose.prod.yml up```
Go to <http://0.0.0.0/>.
#### Development
Set the superuser account credentials in the `docker-compose.dev.yml` file:
```ymlADMIN_USERNAME: "admin"ADMIN_PASSWORD: "password"```
Run Doccano:
```bash$ 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:```bashdocker exec doccano_backend_1 pipenv run app/manage.py test api```
### Add annotators (optionally)
If you want to add annotators/annotation approvers, see [Frequently Asked Questions](./docs/faq.md)
## One-click Deployment
| Service | Button ||---------|---|| AWS[^1] | [](https://console.aws.amazon.com/cloudformation/home?#/stacks/new?stackName=doccano&templateURL=https://doccano.s3.amazonaws.com/public/cloudformation/template.aws.yaml) || Azure | [](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2Fdoccano%2Fdoccano%2Fmaster%2Fazuredeploy.json) || GCP[^2] | [](https://console.cloud.google.com/cloudshell/editor?shellonly=true&cloudshell_image=gcr.io/cloudrun/button&cloudshell_git_repo=https://github.com/doccano/doccano.git&cloudshell_git_branch=CloudRunButton) || Heroku | [](https://dashboard.heroku.com/new?template=https%3A%2F%2Fgithub.com%2Fdoccano%2Fdoccano) |
> [^1]: (1) EC2 KeyPair cannot be created automatically, so make sure you have an existing EC2 KeyPair in one region. Or [create one yourself](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-key-pairs.html#having-ec2-create-your-key-pair). (2) If you want to access doccano via HTTPS in AWS, here is an [instruction](https://github.com/doccano/doccano/wiki/HTTPS-setting-for-doccano-in-AWS).
> [^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](https://cloud.google.com/run/docs/concepts).
## Documentation
See [here](https://doccano.github.io/doccano/).
## 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](https://github.com/doccano/doccano/wiki/How-to-Contribute-to-Doccano-Project)
## Citation
```tex@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](https://github.com/Hironsan).
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