https://github.com/oeg-upm/inesdata-ml-schema

A repository to keep the vocabulary for datasets and models developed in Inesdata project
https://github.com/oeg-upm/inesdata-ml-schema

data-spaces inesdata-project vocabularies

Last synced: 2 months ago
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A repository to keep the vocabulary for datasets and models developed in Inesdata project

• Host: GitHub
• URL: https://github.com/oeg-upm/inesdata-ml-schema
• Owner: oeg-upm
• License: apache-2.0
• Created: 2023-11-30T10:29:06.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-05-06T10:18:57.000Z (about 2 years ago)
• Last Synced: 2024-05-06T11:34:00.329Z (about 2 years ago)
• Topics: data-spaces, inesdata-project, vocabularies
• Homepage:
• Size: 196 KB
• Stars: 2
• Watchers: 6
• Forks: 0
• Open Issues: 12
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# inesdata-ml-schema [![Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public.](https://www.repostatus.org/badges/latest/wip.svg)](https://www.repostatus.org/#wip)

A repository to keep the vocabulary for datasets and models developed in Inesdata project. The goal is to have a lightweight vocabulary with a model-centric view of ML models.

**Authors**: Daniel Garijo, Patricia Martin-Chozas, Carlos Ruiz, you?

This work is heavily based on discussions on the FAIR4ML working group in RDA. This is an ongoing collaboration and we aim to converge in a FAIR4ML vocabulary from the whole community. Related repository for discussions: https://github.com/zbmed-semtec/m4ml

## Latest version

To access the last version of the vocabulary, please see [https://w3id.org/inesdata](https://w3id.org/inesdata)

## Example

If you want to understand how to use the vocabulary, have a look at the [sample Model Card](example_model_card.yaml) provided in this repository. It provides a template illustrating an annotated model.

## Contributing

Please contribute by [opening issues](https://github.com/oeg-upm/inesdata-ml-schema/issues) so we can refine the vocabulary.