Buckets:
metadata
license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
- lance
- lancedb
aloha_static_cups_open, stored in Lance
lerobot/aloha_static_cups_open 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/aloha_static_cups_open-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/aloha_static_cups_open-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:
- 1 kB
- Xet hash:
- bdbe300d4a2e0d5d1345cf4fb77cd925a18a1927a34554faf00e96056047a7c5
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.