Trans4PASS & SynPASS (CVPR 2022)
Collection
Panoramic semantic segmentation and domain adaptation suite with Trans4PASS, Trans4PASS+, and SynPASS benchmark. β’ 2 items β’ Updated
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.
Official Dataset Repository for the SynPASS benchmark (Trans4PASS / Trans4PASS+).
The SynPASS dataset contains 9,080 panoramic images (1024x2048) across 22 semantic categories. The dataset covers diverse scenarios:
| Condition | Cloudy | Foggy | Rainy | Sunny | Total |
|---|---|---|---|---|---|
| Split (train/val/test) | 1420/420/430 | 1420/430/420 | 1420/430/420 | 1440/410/420 | 5700/1690/1690 |
| Split (day/night) | 1980/290 | 1710/560 | 2040/230 | 1970/300 | 7700/1380 |
| Total Frames | 2270 | 2270 | 2270 | 2270 | 9080 |
The dataset archive SynPASS.tar.gz (~4.8 GB) unpacks into:
SynPASS/
βββ img/
β βββ cloud/
β βββ fog/
β βββ rain/
β βββ sun/
βββ semantic/
βββ cloud/
βββ fog/
βββ rain/
βββ sun/
Using the Hugging Face CLI:
# Download dataset archive
hf download InSAI-Lab/SynPASS SynPASS.tar.gz --type dataset --local-dir ./datasets
# Extract archive
cd ./datasets
tar -zxvf SynPASS.tar.gz
Using Python (huggingface_hub):
from huggingface_hub import hf_hub_download
dataset_path = hf_hub_download(
repo_id="InSAI-Lab/SynPASS",
repo_type="dataset",
filename="SynPASS.tar.gz",
local_dir="./datasets"
)
@inproceedings{zhang2022bending,
title={Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation},
author={zhang, Jiaming and Yang, Kailun and Ma, Chaoxiang and Rei{\ss}, Simon and Peng, Kunyu and Stiefelhagen, Rainer},
booktitle={CVPR},
pages={16917--16927},
year={2022}
}
@article{zhang2022behind,
title={Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation},
author={Zhang, Jiaming and Yang, Kailun and Shi, Hao and Rei{\ss}, Simon and Peng, Kunyu and Ma, Chaoxiang and Fu, Haodong and Wang, Kaiwei and Stiefelhagen, Rainer},
journal={arXiv preprint arXiv:2207.11860},
year={2022}
}
This dataset is released under the Apache-2.0 License.