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 81, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
cls = get_filesystem_class(protocol)
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
raise ValueError(f"Protocol not known: {protocol}")
ValueError: Protocol not known: memory
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 71, 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.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Second Stage Test by Monash — Submission 1
1. Download the Docker Image
You can download the latest Docker image from huggingface as monash_latest.tar.gz.
2. Load the Docker Image
To load the Docker image, use the following command:
docker load -i monash_latest.tar.gz
After loading, you will see the message: Loaded image: monash:latest, where monash:latest is the name of the Docker image.
3. Test the Docker Image
To test the Docker container, run:
docker container run --gpus "device=0" --name monash --rm --shm-size=24g -v $PWD/relative_path/test/fold/:/workspace/inputs/ -v $PWD/relative_path/outputs/fold/:/workspace/outputs/ monash:latest /bin/bash -c "sh predict.sh"
If you encounter any permission issues, you may need to run it with sudo:
sudo docker container run --gpus "device=0" --name monash --rm --shm-size=24g -v $PWD/relative_path/test/fold/:/workspace/inputs/ -v $PWD/relative_path/outputs/fold/:/workspace/outputs/ monash:latest /bin/bash -c "sh predict.sh"
Parameters:
--gpus "device=0": Select the appropriate GPU ID.- Replace
relative_path/test/foldwith the relative path to your test folder, which should contain Nifti files (.nii.gz). This path is relative to your current working directory. - Replace
relative_path/outputs/foldwith the relative path to your desired output folder, which will store the results. This path is also relative to your current working directory. monash:latest: This is the Docker image name, which will be displayed after loading the image in step 2.
or using absolute path:
docker container run --gpus "device=0" --name monash --rm --shm-size=24g -v /absolute/path/to/your/test/fold/:/workspace/inputs/ -v /absolute/path/to/my/team/outputs/fold/:/workspace/outputs/ monash:latest /bin/bash -c "sh predict.sh"
- Replace
/absolute/path/to/your/test/fold/with the absolute path to your test folder, which should contain Nifti files (.nii.gz). - Replace
/absolute/path/to/my/team/outputs/fold/with the absolute path to your desired output folder, where the output results will be stored.
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