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.
HebOCRBench v1 — locked source mirror
This repository is the minimal public transport mirror used to reproduce five separate HebOCRBench v1 extension and synthetic-diagnostic roots. It contains only the immutable artifacts selected by the benchmark registry; it does not mirror the much larger upstream repositories.
The canonical source identities, upstream revisions, provenance, per-source terms, expected sizes, and SHA-256 values remain in the public HebOCRBench registry. The release workflow downloads these mirror bytes and then verifies them against those canonical registry checksums before any corpus is built.
| Path | Bytes | SHA-256 |
|---|---|---|
foundation/test-synthetic-mixed-000.tar |
64,563,200 | 12886b77eefb54f73ed2ea9ba9ddf4766de60ed2635126248344739626608927 |
foundation/train-niqqud-000.tar |
318,689,280 | 05cd60b91ce566b23dd7024665026a615f2127b7abfaf8e8a10afd92d3945ff4 |
foundation/train-rashi-000.tar |
118,077,440 | f1adca1ba117160266325b2002abe62896f06986242ef145a34296852f7190ee |
pinkas/historical-pinkas-handwriting-test-v1.tar |
418,498,560 | d986a3527d1ddae19cf2f09f3ff5e84458eeb5e1f6f9cb4e2a48d895dfcd5eb6 |
htr/stage3_human_finetune/test-00000.parquet |
18,939,757 | 19823993891409e7fc90cac38230822cb88dd2010955a53d4618bfbc226f7d45 |
The Foundation files are synthetic and support non-rankable niqqud and single-font Rashi diagnostics. The Parquet file supports the separate modern handwriting extension. The historical-handwriting TAR contains a larger mixed upstream shard; HebOCRBench selects only the locked six-page Pinkas subset. None of these extensions is blended into the Modern Hebrew printed-document headline score.
HebOCRBench software is MIT-licensed. That software license does not relicense these data artifacts; consult the registry and upstream provenance before use or redistribution outside benchmark evaluation.
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