Buckets:
metadata
license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
- lance
- lancedb
pusht, stored in Lance
lerobot/pusht converted to the Lance layout that LeRobot's LanceDBDataset reads natively. Same meta/ sidecar as the original, tabular features in frames.lance, encoded videos in a videos.lance blob v2 column.
from lerobot.datasets import LeRobotDataset # not needed, shown for contrast
from lerobot.datasets import LanceDBDataset
ds = LanceDBDataset("lance-format/pusht-lance") # streams tables from the Hub, only meta/ is downloaded
item = ds[0]
Or just point training at it. The dataset factory detects the format automatically:
lerobot-train --dataset.repo_id=lance-format/pusht-lance ...
Requires lancedb>=0.35.0b2 (pip install --pre --extra-index-url https://pypi.fury.io/lancedb/ lancedb) and the lance-dataloader branch of LeRobot until the upstream PR lands.
Xet Storage Details
- Size:
- 933 Bytes
- Xet hash:
- 0b0afc5df545479a69597a02f4ddda4ac0aba94812dd7a6d63415db5e3eead5f
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