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
Resolving dataset…
Notes per entry
- PushT / ALOHA — LeRobot v3 repos on the public Hub;
episodes: autoreadstotal_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 asplit: rownode — layout belongs to the author, and nestedrow/column/gridcompose 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.dreamrcbarely changes. Its chart binds the same feature twice with dim globs ("torso*") to overlay command (dashed) on state (solid).meta/info.jsondeclares 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_stateis a[512,6]float tensor and its name says nothing; the config binds it topointCloud, 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.PointCloudread aspointcloud(34,688 LiDAR points per frame), one tf child frame read astransform3d,SceneUpdatemodel primitives, GPS.cdr-encoded channels (a plain ROS 2 bag) andGrid/CameraCalibrationare still omitted, with console warnings. - MV-UMI — the multi-GB
.zarr.zipis 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
.zarrv3 directory store; the flattened hand-keypoint arrays are numbers like any other until the config binds themas: pose3d, which animates them as point sets in the 3D scene. - Ceramics —
folderformat: annotations auto-discovered from each episode'sannotations/dir; therecontrack is a real exported reconstruction (ruler + toy, MANO hands) — orbit it while video plays.