rogation/leboard-training-runs
LeBoard calibration: do dataset defects hurt a VLA? LeBoard flags defects in LeRobot datasets: frozen video, a missing camera, actions that never change, desynchronised video, and more. This organisation holds a controlled experiment that asks the question behind every flag: does this defect actually lower the success of a policy trained on the data? We take one clean dataset, break copies of it on purpose with one known defect each, fine-tune the same VLA on every copy with the… See the full description on the dataset page: https://huggingface.co/datasets/rogation/leboard-training-runs.
| Author / organization | rogation |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1.8K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 11 October 2026 |
| Last updated at source | 12 October 2026 |
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