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X-WR-CALNAME:Nov 19 - Visualizing and Debugging Hugging Face's LeRobot Data
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UID:event-f4t26j9q@ontown.app
DTSTAMP:20261008T195559Z
DTSTART:20261119T170000Z
SUMMARY:Nov 19 - Visualizing and Debugging Hugging Face's LeRobot Data
LOCATION:San Francisco\, United States
DESCRIPTION:AI Professionals San Francisco Machine Learning & Agentic AI\nT
 his workshop is a hands-on tour of what actually breaks when you load real
  LeRobot datasets\, and how Voxel51's native LeRobot support in FiftyOne c
 atches it.\n\nDate\, Time and Location\n\nNov 19\, 2026\n9:00 AM - 10:00 A
 M PST\nOnline. Register for the Zoom! (https://voxel51.com/events/lerobot-
 workshop-november-19-2026)\n\nRobot learning data doesn't look like the da
 ta that trains most vision-language models. It's temporal\, low-dimensiona
 l in the parts that matter most\, embodiment-specific\, and expensive to c
 ollect\, and increasingly\, it's shipped in Hugging Face's LeRobot format.
  But packaging robot data consistently isn't the same as being able to see
  it: episodes hide broken metadata\, silently dropped sensor modalities\, 
 and mismatched schemas between robots that look identical on paper.\n\nSta
 rting from the core differences that make robot data hard (temporal struct
 ure\, proprioception\, action grounding\, embodiment heterogeneity\, data 
 scarcity)\, we'll move into live debugging: a metadata bug that broke mult
 iple dataset imports\, sensor streams that vanish without an error\, and t
 wo robots running an identical benchmark whose data is structurally incomp
 atible. By the end\, you'll know what to check before you trust a LeRobot 
 dataset\, and how to actually look inside one.
URL:https://ontown.app/e/f4t26j9q-nov-19-visualizing-and-debugging-hugging-
 faces-lerobot-data/
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