Gallery

Real datasets, one grammar — every file is complete (its{' '} storage: inline): copy one and it runs anywhere. At a dataset root the file would drop storage: and inherit its location. The address bar tracks the selected entry (?example=…) — copy it to share one dataset directly.

← .dreamrc spec

## Notes per entry - **PushT / ALOHA** — LeRobot v3 repos on the public Hub; `episodes: auto` reads `total_episodes`, nothing else to configure. Both pack every episode of a camera into ONE mp4 and give each episode a time window in the metadata, which is what the viewer plays. The ALOHA entry lays its charts out with a `split: row` node — layout belongs to the author, and nested `row` / `column` / `grid` compose freely. - **Cognition pour-water** — a LeRobot **v2.0** dataset served as plain HTTPS from a public S3 bucket: same `format: lerobot`, older layout, different storage — the `.dreamrc` barely changes. Its chart binds the same feature twice with dim globs (`"torso*"`) to overlay command (dashed) on state (solid). `meta/info.json` declares 298 episodes and only three are mirrored, so the entry resolves five: the last two show the per-panel **error state** a missing file produces, which is what a partial mirror honestly looks like. - **LIBERO Spatial (depth)** — float32 depth maps stored raw in parquet: read as typed arrays and turbo-colorized on the fly, no image decoding at all. Frames in the same parquet row group cost zero extra requests. - **gym-xarm point clouds** — `observation.environment_state` is a `[512,6]` float tensor and its name says nothing; the config binds it to `pointCloud`, which reads it as xyz+rgb (Apache-2.0). Orbit the scene while the cursor plays. LeRobot declares no semantics for a feature and nothing here invents one — a human read the inventory once and wrote it down. - **nuScenes mini (MCAP)** — a 512MB file on third-party demo infra read IN PLACE: the summary section gives 30 fields from 18 of its 41 channels for ~2MB of ranged reads, then each field pulls only the chunks it needs. Each channel is listed with its schema name, and that name selects a decoder when a binding asks: `foxglove.PointCloud` read as `pointcloud` (34,688 LiDAR points per frame), one tf child frame read as `transform3d`, `SceneUpdate` model primitives, GPS. `cdr`-encoded channels (a plain ROS 2 bag) and `Grid` / `CameraCalibration` are still omitted, with console warnings. - **MV-UMI** — the multi-GB `.zarr.zip` is never downloaded: the frame stack byte-ranges one JPEG-XL frame per camera under the cursor (JXL needs Safari 17+ or Chrome's flag). - **EgoVerse** — a `.zarr` v3 directory store; the flattened hand-keypoint arrays are numbers like any other until the config binds them `as: pose3d`, which animates them as point sets in the 3D scene. - **Ceramics** — `folder` format: annotations auto-discovered from each episode's `annotations/` dir; the `recon` track is a real exported reconstruction (ruler + toy, MANO hands) — orbit it while video plays.