Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    IndexError
Message:      list index out of range
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1859, in _prepare_split_single
                  original_shard_lengths[original_shard_id] += len(table)
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
              IndexError: list index out of range
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

text
string
2026-01-01 00:00:00.000: axis_0,d,0.239
2026-01-01 00:00:00.000: axis_1,d,-0.36
2026-01-01 00:00:00.000: axis_2,d,-0.085
2026-01-01 00:00:00.000: axis_3,d,-0.023
2026-01-01 00:00:00.033: axis_0,d,0.258
2026-01-01 00:00:00.033: axis_1,d,-0.388
2026-01-01 00:00:00.033: axis_2,d,-0.088
2026-01-01 00:00:00.033: axis_3,d,-0.024
2026-01-01 00:00:00.066: axis_0,d,0.277
2026-01-01 00:00:00.066: axis_1,d,-0.415
2026-01-01 00:00:00.066: axis_2,d,-0.09
2026-01-01 00:00:00.066: axis_3,d,-0.026
2026-01-01 00:00:00.099: axis_0,d,0.295
2026-01-01 00:00:00.099: axis_1,d,-0.441
2026-01-01 00:00:00.099: axis_2,d,-0.092
2026-01-01 00:00:00.099: axis_3,d,-0.028
2026-01-01 00:00:00.133: axis_0,d,0.313
2026-01-01 00:00:00.133: axis_1,d,-0.467
2026-01-01 00:00:00.133: axis_2,d,-0.095
2026-01-01 00:00:00.133: axis_3,d,-0.029
2026-01-01 00:00:00.166: axis_0,d,0.33
2026-01-01 00:00:00.166: axis_1,d,-0.491
2026-01-01 00:00:00.166: axis_2,d,-0.097
2026-01-01 00:00:00.166: axis_3,d,-0.031
2026-01-01 00:00:00.199: axis_0,d,0.346
2026-01-01 00:00:00.199: axis_1,d,-0.514
2026-01-01 00:00:00.199: axis_2,d,-0.098
2026-01-01 00:00:00.199: axis_3,d,-0.032
2026-01-01 00:00:00.233: axis_0,d,0.361
2026-01-01 00:00:00.233: axis_1,d,-0.535
2026-01-01 00:00:00.233: axis_2,d,-0.1
2026-01-01 00:00:00.233: axis_3,d,-0.033
2026-01-01 00:00:00.266: axis_0,d,0.375
2026-01-01 00:00:00.266: axis_1,d,-0.555
2026-01-01 00:00:00.266: axis_2,d,-0.102
2026-01-01 00:00:00.266: axis_3,d,-0.034
2026-01-01 00:00:00.299: axis_0,d,0.388
2026-01-01 00:00:00.299: axis_1,d,-0.574
2026-01-01 00:00:00.299: axis_2,d,-0.103
2026-01-01 00:00:00.299: axis_3,d,-0.035
2026-01-01 00:00:00.333: axis_0,d,0.399
2026-01-01 00:00:00.333: axis_1,d,-0.591
2026-01-01 00:00:00.333: axis_2,d,-0.105
2026-01-01 00:00:00.333: axis_3,d,-0.036
2026-01-01 00:00:00.366: axis_0,d,0.409
2026-01-01 00:00:00.366: axis_1,d,-0.606
2026-01-01 00:00:00.366: axis_2,d,-0.106
2026-01-01 00:00:00.366: axis_3,d,-0.037
2026-01-01 00:00:00.399: axis_0,d,0.417
2026-01-01 00:00:00.399: axis_1,d,-0.619
2026-01-01 00:00:00.399: axis_2,d,-0.107
2026-01-01 00:00:00.399: axis_3,d,-0.038
2026-01-01 00:00:00.433: axis_0,d,0.423
2026-01-01 00:00:00.433: axis_1,d,-0.631
2026-01-01 00:00:00.433: axis_2,d,-0.108
2026-01-01 00:00:00.466: axis_0,d,0.429
2026-01-01 00:00:00.466: axis_1,d,-0.642
2026-01-01 00:00:00.499: axis_0,d,0.432
2026-01-01 00:00:00.499: axis_1,d,-0.651
2026-01-01 00:00:00.499: axis_2,d,-0.109
2026-01-01 00:00:00.499: axis_3,d,-0.039
2026-01-01 00:00:00.533: axis_0,d,0.435
2026-01-01 00:00:00.533: axis_1,d,-0.659
2026-01-01 00:00:00.566: axis_0,d,0.436
2026-01-01 00:00:00.566: axis_1,d,-0.666
2026-01-01 00:00:00.599: axis_0,d,0.435
2026-01-01 00:00:00.599: axis_1,d,-0.672
2026-01-01 00:00:00.599: axis_3,d,-0.038
2026-01-01 00:00:00.633: axis_0,d,0.434
2026-01-01 00:00:00.633: axis_1,d,-0.677
2026-01-01 00:00:00.666: axis_0,d,0.431
2026-01-01 00:00:00.666: axis_1,d,-0.681
2026-01-01 00:00:00.666: axis_2,d,-0.108
2026-01-01 00:00:00.699: axis_0,d,0.427
2026-01-01 00:00:00.699: axis_1,d,-0.685
2026-01-01 00:00:00.699: axis_3,d,-0.037
2026-01-01 00:00:00.733: axis_0,d,0.422
2026-01-01 00:00:00.733: axis_1,d,-0.688
2026-01-01 00:00:00.733: axis_2,d,-0.107
2026-01-01 00:00:00.766: axis_0,d,0.415
2026-01-01 00:00:00.766: axis_1,d,-0.691
2026-01-01 00:00:00.766: axis_2,d,-0.106
2026-01-01 00:00:00.766: axis_3,d,-0.036
2026-01-01 00:00:00.799: axis_0,d,0.408
2026-01-01 00:00:00.799: axis_1,d,-0.693
2026-01-01 00:00:00.799: axis_2,d,-0.105
2026-01-01 00:00:00.799: axis_3,d,-0.035
2026-01-01 00:00:00.833: axis_0,d,0.4
2026-01-01 00:00:00.833: axis_1,d,-0.695
2026-01-01 00:00:00.833: axis_2,d,-0.104
2026-01-01 00:00:00.833: axis_3,d,-0.034
2026-01-01 00:00:00.866: axis_0,d,0.391
2026-01-01 00:00:00.866: axis_1,d,-0.697
2026-01-01 00:00:00.866: axis_2,d,-0.102
2026-01-01 00:00:00.899: axis_0,d,0.381
2026-01-01 00:00:00.899: axis_1,d,-0.699
2026-01-01 00:00:00.899: axis_2,d,-0.101
2026-01-01 00:00:00.899: axis_3,d,-0.033
2026-01-01 00:00:00.933: axis_0,d,0.37
2026-01-01 00:00:00.933: axis_1,d,-0.701
End of preview.

WorldRover-preview

Long, continuous camera paths through photoreal 3D environments, rendered with per-frame metric depth, camera pose and action labels — and, where it matters, rendered more than once along the same path, so you can hold geometry and motion fixed while the projection or the lighting changes.

This repository is the original preview release, as a lite subset: RGB, camera pose, actions and metadata for four scenes, without depth (depth is 87% of the bytes). The rest of the data lives in the repositories below — see the collection for all parts in one place.

Parts

Repository What it is Scenes Clips Video Size
this repo (WorldRover-preview) lite: paired panoramic + first-person, RGB + pose + actions, no depth 4 129 per view 4.1 h per view 103 GB
WorldRover-6scenes paired 360° panoramic + first-person, with lossless depth 6 600 per view 18.9 h per view 7.6 TB
WorldRover-styles one trajectory set re-rendered under 6 lighting/style treatments 4 1000 48 h 818 GB
med_village · paris · venice · art_nouveau the original release, full depth, one repo per scene 1 each 13–47 per view ~30 min per view 169–334 GB

Start with WorldRover-6scenes unless you specifically want the original four-scene release or the style variants — it is the largest, newest and most complete part.

The two kinds of pairing

Same path, two projections (WorldRover-6scenes, and this preview repo). pano/<clip_id> and fp/<clip_id> are the same camera path: the first-person clip is rendered from the panoramic clip's per-frame trajectory, so the two camera_trajectory.csv files agree row for row and only the intrinsics differ (360°/0 mm equirect vs 65.5°/28 mm pinhole). No interpolated alignment is involved.

Same path, six appearances (WorldRover-styles). Each trajectory is rendered as a reference first-person clip plus up to five variants — untextured white model, golden hour, night, snow, storm — frame-aligned, so the depth, pose and action labels of the reference clip apply to every variant of it unchanged.

What a clip contains

rgb.mp4                 H.264, 30 fps
depth/depth.mkv         FFV1 16-bit, lossless, log-quantized radial depth
depth/depth.meta.json   near/far, authoritative frame count, decode formula
camera_trajectory.csv   per-frame world pose + intrinsics
description.json        scene, asset pack, licence, trajectory summary, render settings
gamepad_format/         action labels (axis events + timeline)
trajectory.png          top-down path plot

Clips are 11 s to 8.5 min of continuous motion — no cuts, no teleports.

Conventions that are easy to get wrong

  • Depth is log-quantized and radial: depth_m = exp(code/65535 * (log 200 − log 0.1) + log 0.1), and the value is distance along the ray, not along the optical axis. Convert before unprojecting. The pixel format is not the same everywhere: WorldRover-6scenes is uniformly gray16le, while WorldRover-styles is mostly gbrp16le with the code in the R channel (three art_nouveau clips excepted). Each clip's depth/depth.meta.json names its own format — read it instead of assuming.
  • Frame counts: camera_trajectory.csv has one row more than the video has frames (the last row is the closing keyframe). The authoritative count is depth/depth.meta.json.
  • Poses are Unreal-style: left-handed, centimetres, X-forward / Y-right / Z-up, camera looking down its own +X.
  • Panoramic frames are equirectangular: a rectangular crop is not a perspective view. Reproject before comparing one against a first-person clip.

Tools

git clone https://github.com/AlayaLab/WorldRover
pip install -r WorldRover/tools/requirements.txt   # numpy, opencv-python; ffmpeg/ffprobe on PATH
cd WorldRover/tools                                # the package is not pip-installable yet
from worldrover import Clip

clip    = Clip("/data/WorldRover-6scenes/venice/fp/venice_000000")
rgb     = clip.rgb_frame(100)     # uint8 (H, W, 3), sRGB
depth_m = clip.depth_frame(100)   # planar depth in metres
pts     = clip.points_world(100)  # world points, centimetres
poses   = clip.poses              # per-frame pose + intrinsics

Clip takes a filesystem path to a clip directory. The reader takes the depth pixel format from that clip's own depth/depth.meta.json, so it handles both encodings used across these repositories, and it converts radial depth and the off-by-one trajectory row for you.

License

Rendered video, depth, camera pose and action labels are released for research use. The underlying 3D environments are third-party commercial assets, are not redistributed here, and each clip's description.json records its asset pack and licence. Tools are MIT.

Downloads last month
914

Collection including AlayaLab/WorldRover-preview