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0. General Information

Ricardo Mirón edited this page May 7, 2024 · 7 revisions

Considerations for each category


Open Software

We accept most types of source code for software solutions, except for developer tools or compiled/ executable apps.

✅ Some examples of acceptable software solutions are:

  • Web applications
  • Mobile applications
  • Desktop software
  • User-facing scripts, libraries or packages
  • Operating systems

❌ Some examples of ineligible software solutions are:

  • Generic libraries, plugins, packages & frameworks
  • Firmware, device drivers
  • Programming languages, interpreters, compilers, etc
  • Protocols

Open Data

We accept one-off releases of a single dataset, a collection of datasets, or an API.

✅ Some examples of acceptable datasets are:

  • Historical or statistical data that can be accessed or downloaded directly through a URL
  • Topic or sector-related data aggregation platforms or collections, as long as all data is open
  • A public API operating over static or real-time data
  • Other open datasets like geographical, public sector, regional, science, education, environmental, or other types of data

❌ Some examples of ineligible data are:

  • Graphics or visualizations (static or interactive) without access to the raw data
  • High-level aggregated data or single data points
  • Any datasets not accessible in open formats

Open Content

We only accept open content collections and do not accept individual pieces of content.

✅ Some examples of acceptable content are:

  • Collections of learning materials or resources
  • Collections of publications or academic papers
  • E-learning open content that addresses various topics
  • Collection of books, guides, manuals, etc.
  • Other collections of content like data visualizations/ aggregators, blog posts, infographics, audiovisuals, images, audio, and other forms of digital content

❌ Some examples of ineligible content are:

  • Individual pieces of content
  • Social media posts
  • Single book, article, post, media, etc.

Open AI Models An AI Model must contain model weights, training code, and data.

✅ Some examples of acceptable AI Models are:

  • Scripts, notebooks, and/or code related to the model and the training data
  • Packaged model (library or framework) and training data

❌ Some examples of ineligible AI Models are:

  • Academic paper (theoretical)
  • Software where the usage of the AI model is not the main component (this will fit under the regular software category)