--- license: apache-2.0 task_categories: - robotics language: - en tags: - lerobot - pusht - diffusion-policy - robotics - lance - lerobot-lancedb pretty_name: pusht-lerobot-lancedb-video (video blobs) size_categories: - 10K **Not to be confused with** [`lance-format/lerobot-pusht-lance`](https://huggingface.co/datasets/lance-format/lerobot-pusht-lance), > which uses a different three-table schema and is **not loadable** with `lerobot-lancedb`. This > repo is specifically the layout produced by `lerobot-convert-to-lance-video`. ## Load ```python from lerobot_lancedb import LeRobotLanceVideoDataset ds = LeRobotLanceVideoDataset(repo_id="lance-format/pusht-lerobot-lancedb-video") print(len(ds)) # 25_650 frames print(ds[0]["observation.image"].shape) # torch.Size([3, 96, 96]) ``` Decode is on-the-fly via `torchcodec` against the inline mp4 bytes (no separate `videos/` directory). Lance streams the segment bytes lazily through byte-range fetches from the Hub. ## Repro ```bash pip install git+https://github.com/lancedb/lerobot-lancedb.git lerobot-convert-to-lance-video \ --repo-id=lerobot/pusht \ --output=./pusht-lerobot-lancedb-video \ --table-name=pusht-lerobot-lancedb-video ``` ## Layout ``` pusht-lerobot-lancedb-video/ ├── meta/ # standard LeRobotDataset metadata sidecar ├── pusht-lerobot-lancedb-video.lance/ # one row per frame, tabular only └── pusht-lerobot-lancedb-video_videos.lance/ # one row per source mp4, raw bytes as blob v2 ``` Frames table columns: `episode_index`, `frame_index`, `index`, `timestamp`, `task_index`, `observation.state`, `action`. Pixels live in the `_videos.lance` blob column and are decoded per-(`episode`, `video_key`) segment at sample time. Size: ~8 MB. Companion JPEG-frame layout (~60 MB, faster single-frame decode) at [`lance-format/pusht-lerobot-lancedb`](https://huggingface.co/datasets/lance-format/pusht-lerobot-lancedb).