Upload folder using huggingface_hub

.gitattributes

@@ -58,3 +58,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+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.
+
+```python
+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:
+
+```bash
+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.

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meta/info.json

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