The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
raise ValueError(
...<2 lines>...
)
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
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/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
jiggle2 — layers
Synthetic laparoscopic episodes generated with jiggle2/surgsim for research on
memory in action-conditioned world models. 624 episodes, 62.2 GB, one tar per episode under episodes/,
manifest.json (per-episode frames / procedure / seed / sha256) and REPORT.json (validation of every episode).
Each episode tar contains rgb.mp4, actions.npz (per-frame instrument and camera action signals), events.json,
frames.json, meta.json, mesh.npz (per-frame tissue vertices), camera.json, and optionally depth.npz, seg.npz,
flow.npz, preview.mp4. The field-level schema is surgsim/data/schema.md in the code repository; the code tag and
Docker image digests that produced each revision are in VERSIONS.md there.
from jiggle2hub.datasets import download
download("x5liang/jiggle2-layers", revision="<tag>", out_dir="/data/episodes/layers")
Revisions
| revision | content |
|---|---|
v2 (2026-10-17) |
624 episodes (seeds 0-623), 12.3 h of video at 15 fps, 640x480, 62.2 GB. As v1, plus the endoscope zooms in on every mark: before each touch the scope pivots about its port and moves in to 3-7 cm from a point up to 1.5 cm off the touch spot, holds while the mark forms, then zooms out to a randomised overview. Zooms are camera segments in language.json (zoom: in / out, distance_cm, offset_cm) and meta.json -> summary.zooms. 454 / 624 episodes pass meta.json -> summary.checks.ok; all are included, so filter on it. Code: git c8e8f7c, configs/layers_v2.yaml; image x5liang/jiggle2-sim:v0.2.1. |
v1 (2026-10-14) |
622 episodes, 10.3 h; the camera only translates 1.2-3.5 cm between reveals. 463 pass the checks. |
Download a revision with revision="v2" (or "v1"). The scene, the episode script and the checks are described in
docs/LAYER_SCENE.md of the code repository.
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