The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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WorldRover-styles
The same camera path rendered under six different treatments. 200 first-person trajectories across four scenes, each re-rendered as up to six variants — so the geometry, motion and action labels are held fixed while lighting, weather and material appearance change. 1000 clips, ~48 h of video at 30 fps, ~818 GB.
| Variant | Scenes | Clips | What changes | Per clip |
|---|---|---|---|---|
first_person |
all 4 | 200 | the reference render | rgb + depth + pose + actions |
white_model |
all 4 | 200 | untextured white shading — pure geometry | rgb only |
goldenhour |
3 | 150 | low warm sun | rgb only |
night |
3 | 150 | night lighting | rgb only |
snow |
3 | 150 | snow cover + overcast | rgb only |
storm |
3 | 150 | storm sky + wet surfaces | rgb only |
goldenhour / night / snow / storm cover med_village, paris and venice; art_nouveau is
an interior set and ships first_person + white_model only.
| Scene | Base trajectories | Median clip | Range | Video per variant |
|---|---|---|---|---|
| med_village | 50 | 3 min 29 s | 41 s – 6 min 45 s | 3.01 h |
| venice | 50 | 2 min 54 s | 1 min 07 s – 6 min 43 s | 2.66 h |
| paris | 50 | 1 min 54 s | 49 s – 5 min 15 s | 1.80 h |
| art_nouveau | 50 | 1 min 32 s | 14 s – 5 min 00 s | 1.39 h |
Layout
<scene>/first_person/<clip_id>/ pinhole 1280x720, 30 fps
rgb.mp4 depth/depth.mkv depth/depth.meta.json
camera_trajectory.csv description.json gamepad_format/ trajectory.png
<scene>/<variant>/<clip_id>/rgb.mp4 same path, same frame count, different look
style_grids/batch_grid_<scene>_<variant>.mp4 contact-sheet previews (64 videos)
A variant clip shares its <clip_id> with the first_person clip, so the pose, depth and
action labels from first_person/<clip_id> apply to every variant of it unchanged.
Conventions
- Read the depth pixel format from each clip's
depth/depth.meta.json— this batch is not uniform. 197 of the 200 clips areFFV1 / gbrp16lewith the code in the R channel (G = B = 0); three art_nouveau clips —an725_navmesh_000005,an_react_000022,an_react_000037— are single-planeFFV1 / gray16leinstead. Every clip'sdepth.meta.jsonstates its own format correctly (verified against the files), so read it rather than assuming. WorldRover-6scenes is uniformlygray16le. The quantization is identical either way:depth_m = exp(code/65535 * (log 200 − log 0.1) + log 0.1), radial distance. camera_trajectory.csvhas one row more than the video has frames; the authoritative count isdepth/depth.meta.json.- Poses are Unreal-style: left-handed, centimetres, X-forward / Y-right / Z-up.
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-styles/venice/first_person/fix_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.
The style variants hold only rgb.mp4; point Clip at the matching first_person
clip for that trajectory's depth, pose and action labels.
Related
- WorldRover-preview — the original release as a lite subset (no depth)
- Collection — every part in one place
- WorldRover-6scenes — paired 360° panoramic + first-person, six scenes, 7.6 TB
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.
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