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.
repa_vs_dmd2
Qualitative comparison of two 4-step distilled video generators: a DMD2 baseline and the same setup with a REPA loss added on top of the DMD2 objective.
Both models were sampled on the prompts of MovieGen Video Bench (extended), with four seeds per prompt, so the two archives are seed- and prompt-aligned: the same file name in each archive corresponds to the same prompt and the same seed.
Contents
| File | Method | Videos |
|---|---|---|
video_Repa_dmd2.tar.gz |
DMD2 loss (baseline) | 280 |
video_Repa_1k4.tar.gz |
DMD2 + REPA loss | 280 |
Each archive extracts to:
video_Repa_{dmd2,1k4}/
MovieGenVideoBench_extended/
student_step4_{prompt_index}_seed_student_{seed}.mp4
prompt_index— 0-based index of the prompt in the MovieGen Video Bench (extended) prompt list (lineprompt_index + 1of the prompt file).seed— 1 through 4.student_step4— the 4-step student sampler.
The prompt list itself is not included in this dataset; index into your own copy of
MovieGenVideoBench_extended.txt to recover the text for a given prompt_index.
Usage
huggingface-cli download csusupergear/repa_vs_dmd2 --repo-type dataset --local-dir .
tar -xzf video_Repa_dmd2.tar.gz
tar -xzf video_Repa_1k4.tar.gz
To compare a single prompt across both methods:
# prompt 17, all four seeds, both methods
ls video_Repa_dmd2/MovieGenVideoBench_extended/student_step4_17_seed_student_*.mp4
ls video_Repa_1k4/MovieGenVideoBench_extended/student_step4_17_seed_student_*.mp4
Notes
The archives are gzipped tarballs of already-compressed MP4 files, so gzip provides essentially no size reduction — they exist to bundle 280 files into one download, not to save space. The video bitstreams are byte-identical to the originals.
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