# Introducing Calibra: Open-source Robot Dataset Observability

**URL:** <https://discuss.huggingface.co/t/introducing-calibra-open-source-robot-dataset-observability/178259>\
**Category:** Spaces\
**Created:** [July 28, 2026, 1:12pm UTC](https://discuss.huggingface.co/t/introducing-calibra-open-source-robot-dataset-observability/178259 "2026-07-28T13:12:02Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![omert27](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/omert27/32/63145_2.png) [@omert27](https://discuss.huggingface.co/u/omert27)\
**Post date:** [July 28, 2026, 1:12pm UTC](https://discuss.huggingface.co/t/introducing-calibra-open-source-robot-dataset-observability/178259/1 "2026-07-28T13:12:02Z")

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Hey everyone!

I’d like to share **Calibra** which is an open-source toolkit for robot dataset observability.

I realized that while robot learning has excellent tooling for training policies, it’s still difficult to understand the quality of a dataset _before_ training. Calibra aims to help by auditing datasets, identifying potential quality issues, building quality-aware coresets, and estimating training outcomes.

As part of the first public release, we’ve launched:

- **Robot Dataset Health Check** — an interactive Space for auditing LeRobot datasets in seconds.

- **A benchmark of 30 public LeRobot datasets** with health scores, quality diagnostics, and community comparisons.

The full toolkit also includes quality-aware coreset selection, training outcome prediction, and a Python API/CLI.

**Try it:** [Robot Dataset Health Check - a Hugging Face Space by omert27](https://huggingface.co/spaces/omert27/robot-dataset-health-check)

**Source code:** [GitHub - omertt27/Calibra: Dataset observability and coreset selection for robotics imitation learning · GitHub](https://github.com/omertt27/Calibra)

I’d really appreciate feedback from the Hugging Face and robotics communities.

Some questions I’d love your thoughts on:

- Which dataset quality metrics would be most useful for your workflow?

- Are there important diagnostics that are missing?

- If you work with LeRobot datasets, would you use something like this before training?

Thanks for taking a look, i would be appreciated any feedbacks.