{
 "schema_version": 1,
 "generated": "2026-10-31",
 "id": "huggingface-lerobot--load-and-explore-a-lerobot-dataset",
 "repo": "huggingface/lerobot",
 "repo_url": "https://github.com/huggingface/lerobot",
 "repo_slug": "huggingface-lerobot",
 "title": "Load and explore a robot dataset from the Hub",
 "page_title": "How to load and explore a robot dataset from the Hub with Lerobot",
 "summary": "Load a LeRobotDataset in Python and inspect synchronized video and action data episode by episode.",
 "who": "A student or researcher who wants real robot demonstration data to study or reuse.",
 "problem": "Robot datasets come in incompatible formats and are hard to stream and inspect.",
 "outcome": "A dataset loaded from the Hub with video decoding handled for you, ready to edit, split or merge.",
 "steps": [
  "Install the dataset extra with `pip install 'lerobot[dataset]'`",
  "Load a dataset in Python with LeRobotDataset(\"lerobot/aloha_mobile_cabinet\"), as in the README",
  "Index an episode and print its action shape; video decoding is automatic",
  "Use the dataset tools to delete episodes, split by indices or fractions, add or remove features, or merge datasets",
  "Browse thousands more datasets on the Hugging Face Hub under Lerobot"
 ],
 "agent_prompt": "Using huggingface/lerobot, load the dataset lerobot/aloha_mobile_cabinet with LeRobotDataset, print the features and the action shape of episode 0, and split it into train and validation by fraction.",
 "agents": [
  "claude-code",
  "codex",
  "cursor",
  "gemini-cli"
 ],
 "difficulty": "Beginner",
 "time": "30 minutes",
 "basis": "readme",
 "caveat": "This card is written from the huggingface/lerobot README, not from a test run by Deduped. Before you start, make sure you have Python and pip. Check the repo for newer instructions before you rely on these steps.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "python",
 "requirements": [
  "Python and pip",
  "Extras for your task: lerobot[dataset], lerobot[training], or lerobot[core_scripts,feetech] for an SO-101 arm",
  "A GPU for training most policies (see the Compute Hardware Guide)",
  "Optional: a supported robot such as SO101, Koch or LeKiwi, and a Hugging Face account to push datasets and models"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.8,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/huggingface-lerobot/load-and-explore-a-lerobot-dataset/",
 "md": "https://dedupedai.com/use-cases/huggingface-lerobot/load-and-explore-a-lerobot-dataset/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/huggingface-lerobot--load-and-explore-a-lerobot-dataset.json",
 "api_version": "v1"
}