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.
JamoFlow reproducibility snapshot
This repository mirrors the public artifacts for:
Causal Whitespace Patching for Korean Byte-Latent Language Models: Quality-Preserving Latency and the Limits of Scale Amplification
Gyeongchan Hwang · Priming Water · ORCID 0009-0007-5840-3274
Canonical code and release: boaz-hwang/JamoFlow-reproducibility · v0.1.0 · Zenodo DOI 10.5281/zenodo.21973009
The arXiv cs.CL submission is awaiting first-submission category endorsement. Its identifier will be added here when assigned.
What the study found
- At 19.6M parameters, the quality-matched whitespace policy reduced controlled end-to-end latency by 2.628% and strict-valid free-running latency by 2.531% relative to the C86 codepoint baseline.
- At 188.6M parameters, a quality-rescued W80 replication reduced controlled latency by 2.887% and free-running latency by 2.475%.
- The prespecified 10% target was not met, and the larger trained model did not amplify the percentage gain.
This is a bounded positive systems result plus a negative scale-amplification result. It is not a claim of a 10% speedup, a production-ready Korean LLM, a general-hardware result, or a useful pretrained checkpoint.
Files
JamoFlow-paper.pdf: named 9-page preprintjamoflow-arxiv-source.tar.gz: self-contained arXiv source bundlejamoflow-reproducibility-v1.tar.gz: curated source, tests, protocols, aggregate evidence, and paper materialsCITATION.cff: citation metadataSHA256SUMS: integrity hashes
No raw corpus text, model checkpoints, record identifiers, raw generated outputs, or per-sequence loss arrays are included. No Hugging Face model weights are released because the experiments did not establish a useful pretrained model.
Integrity
393e25d4d204e3e805cba3505267a68508eaf55b2b40ba24795a637cb28f8b3c JamoFlow-paper.pdf
ee94268cfc6f28853a7aca33249cede5b20622e565c2e875113d20a72d1eb5ba jamoflow-arxiv-source.tar.gz
0f48cb350593843958754fa1cddf37b5dd15f642a8e5afdc7f7300681b5bb93b jamoflow-reproducibility-v1.tar.gz
License
The code and reproducibility materials are Apache-2.0. The paper is CC BY 4.0. Third-party works remain under their respective licenses.
Citation
Until an arXiv identifier is assigned, cite the versioned public release:
@misc{hwang2026jamoflow,
author = {Gyeongchan Hwang},
title = {Causal Whitespace Patching for Korean Byte-Latent Language Models: Quality-Preserving Latency and the Limits of Scale Amplification},
year = {2026},
month = aug,
howpublished = {GitHub release v0.1.0},
url = {https://github.com/boaz-hwang/JamoFlow-reproducibility/releases/tag/v0.1.0}
}
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