Skip to content

Wikidata, Wiktionary and Wikipedia language data extraction

License

Notifications You must be signed in to change notification settings

catreedle/Scribe-Data

 
 

Repository files navigation

Scribe-Data Logo

platform rtd issues language pypi pypistatus license coc mastodon matrix

Wikidata, Wiktionary and Wikipedia language data extraction

Scribe-Data is a convenient command-line interface (CLI) for extracting and formatting language data from Wikidata and Wikipedia. Functionality includes allowing users to list, download, and manage language data directly from the terminal.

Note

The contributing section has information for those interested, with the articles and presentations in featured by also being good resources for learning more about Scribe.

Scribe applications are available on iOS, Android (WIP) and Desktop (planned).

Check out Scribe's architecture diagrams for an overview of the organization including our applications, services and processes. It depicts the projects that Scribe is developing as well as the relationships between them and the external systems with which they interact. Also check out the Wikidata and Scribe Guide for an overview of Wikidata and getting language data from it.

Contents

Process

The CLI commands defined within scribe_data/cli and the notebooks within the various scribe_data directories are used to update all data for Scribe-iOS, with this functionality later being expanded to update Scribe-Android and Scribe-Desktop once they're active.

The main data update process in triggers language based SPARQL queries to query language data from Wikidata using SPARQLWrapper as a URI. The autosuggestion process derives popular words from Wikipedia as well as those words that normally follow them for an effective baseline feature until natural language processing methods are employed. Functions to generate autosuggestions are ran in gen_autosuggestions.ipynb. Emojis are further sourced from Unicode CLDR, with this process being ran via the scribe-data get -lang LANGUAGE -dt emoji-keywords command.

CLI Usage

Scribe-Data provides a command-line interface (CLI) for efficient interaction with its language data functionality. Please see the usage guide or the official documentation for detailed instructions.

Basic Usage

To utilize the Scribe-Data CLI, you can execute the following command in your terminal:

scribe-data [command] [options]

Available Commands

  • list (l): Enumerate available languages, data types and their combinations.
  • get (g): Retrieve data from Wikidata for specified languages and data types.
  • total (t): Display the total available data for given languages and data types.
  • convert (c): Transform data returned by Scribe-Data into different file formats.

Contributing

Public Matrix Chat

Scribe uses Matrix for communications. You're more than welcome to join us in our public chat rooms to share ideas, ask questions or just say hi :)

Please see the contribution guidelines and Wikidata and Scribe Guide if you are interested in contributing to Scribe-Data. Work that is in progress or could be implemented is tracked in the issues and projects.

Note

Just because an issue is assigned on GitHub doesn't mean that the team isn't interested in your contribution! Feel free to write in the issues and we can potentially reassign it to you.

Those interested can further check the -next release- and -priority- labels in the issues for those that are most important, as well as those marked good first issue that are tailored for first time contributors.

After your first few pull requests organization members would be happy to discuss granting you further rights as a contributor, with a maintainer role then being possible after continued interest in the project. Scribe seeks to be an inclusive and supportive organization. We'd love to have you on the team!

Ways to Help

Road Map

The Scribe road map can be followed in the organization's project board where we list the most important issues along with their priority, status and an indication of which sub projects they're included in (if applicable).

Note

Consider joining our bi-weekly developer syncs!

Data Edits

Note

Please see the Wikidata and Scribe Guide for an overview of Wikidata and how Scribe uses it.

Scribe does not accept direct edits to the grammar JSON files as they are sourced from Wikidata. Edits can be discussed and the queries themselves will be changed and ran before an update. If there is a problem with one of the files, then the fix should be made on Wikidata and not on Scribe. Feel free to let us know that edits have been made by opening a data issue and we'll be happy to integrate them!

Environment Setup

The development environment for Scribe-Data can be installed via the following steps:

  1. Fork the Scribe-Data repo, clone your fork, and configure the remotes:

Note

Consider using SSH

Alternatively to using HTTPS as in the instructions below, consider SSH to interact with GitHub from the terminal. SSH allows you to connect without a user-pass authentication flow.

To run git commands with SSH, remember then to substitute the HTTPS URL, https://github.com/..., with the SSH one, [email protected]:....

GitHub also has their documentation on how to Generate a new SSH key 🔑

# Clone your fork of the repo into the current directory.
git clone https://github.com/<your-username>/Scribe-Data.git
# Navigate to the newly cloned directory.
cd Scribe-Data
# Assign the original repo to a remote called "upstream".
git remote add upstream https://github.com/scribe-org/Scribe-Data.git
  • Now, if you run git remote -v you should see two remote repositories named:
    • origin (forked repository)
    • upstream (Scribe-Data repository)
  1. Use Python venv to create the local development environment within your Scribe-Data directory:
  • On Unix or MacOS, run:

    python3 -m venv venv  # make an environment named venv
    source venv/bin/activate # activate the environment
  • On Windows (using Command Prompt), run:

    python -m venv venv
    venv\Scripts\activate.bat
  • On Windows (using PowerShell), run:

    python -m venv venv
    venv\Scripts\activate.ps1

After activating the virtual environment, install the required dependencies and set up pre-commit by running:

pip install --upgrade pip  # make sure that pip is at the latest version
pip install -r requirements.txt  # install dependencies
pip install -e .  # install the local version of Scribe-Data
pre-commit install  # install pre-commit hooks
# pre-commit run --all-files  # lint and fix common problems in the codebase

See the contribution guidelines for a more detailed explanation and troubleshooting.

Note

Feel free to contact the team in the Data room on Matrix if you're having problems getting your environment setup!

Supported Languages

Scribe's goal is functional, feature-rich keyboards and interfaces for all languages. Check the language_data_extraction directory for queries for currently supported languages and those that have substantial data on Wikidata.

The following table shows the supported languages and the amount of data available for each on Wikidata and via Unicode CLDR for emojis:

Languages Nouns Verbs Translations* Prepositions† Emoji Keywords
French 18,082 6,575 67,652 - 2,488
German 194,762 3,637 67,652 215 2,898
Italian 59,910 7,654 67,652 - 2,457
Portuguese 5,281 539 67,652 - 2,327
Russian 194,567 15 67,652 15 3,827
Spanish 62,949 7,938 67,652 - 3,134
Swedish 47,039 4,682 67,652 - 2,913

* Given the current beta status where words are machine translated.

Only for languages for which preposition annotation is needed.

Featured By

Articles and Presentations on Scribe

2024

2023

2022


Wikimedia Deutschland logo linking to an article on Scribe in the tech news blog.           Wikimedia Foundation logo linking to the MediaWiki new developers page.          

Google Summer of Code logo linking to its website.           Outreachy logo linking to its website.          

Powered By

Contributors

Many thanks to all the Scribe-Data contributors! 🚀

Blog posts

List of referenced posts

Wikimedia Communities


Wikidata logo           Wikipedia logo          

About

Wikidata, Wiktionary and Wikipedia language data extraction

Resources

License

Code of conduct

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 97.9%
  • Jupyter Notebook 2.1%