Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
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 83, 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 66, 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.

HGNN BB QLDPC Syndrome Datasets

Stim-generated syndrome–logical flip datasets for Hypergraph Neural Network (HGNN) decoders on Bivariate Bicycle (BB) quantum LDPC memory circuits.

Dataset batches

Subfolder Shots / p Approx. size Zenodo DOI
bb_10000/ 10⁴ ~200 MB {{ZENODO_DOI_bb_10000}}
bb_100000/ 10⁵ ~750 MB {{ZENODO_DOI_bb_100000}}
bb_1000000/ 10⁶ ~6 GB {{ZENODO_DOI_bb_1000000}}
bb_10000000/ 10⁷ ~59 GB {{ZENODO_DOI_bb_10000000}}

Each batch contains 8 datasets: pub_bb_d{3,5,7,12}_{depol,cln}.

Download and extract

Files are stored as bb_<batch>_pub_bb_<name>.tar.gz archives.

pip install huggingface_hub
huggingface-cli download ramazankatirci/hgnn-bb-qldpc --repo-type dataset --local-dir ./hgnn-bb-qldpc

mkdir -p datasets/bb_100000
tar -xzf hgnn-bb-qldpc/bb_100000/bb_100000_pub_bb_d5_depol.tar.gz -C datasets/bb_100000

Verify integrity with SHA256SUMS in each batch folder.

Data fields

Per p_* run directory:

File / array Shape Description
hypergraph.npz static DEM-derived hypergraph (detectors = nodes)
shard_*.zarr/syndrome (N, num_detectors) uint8 Detector flips (HGNN input)
shard_*.zarr/logical (N, k) uint8 Logical observable flips (labels)
shard_*.zarr/T1_us,T2_us,Fgate (N,) float32 Synthetic FiLM calibration metadata

See manifest.json in each dataset folder for run index and BB code parameters.

Usage with this repository

from train.dataset_pyg import ManifestQECDataset

ds = ManifestQECDataset("datasets/bb_100000/pub_bb_d5_depol/manifest.json")
print(len(ds), ds.num_nodes)
python -m train.train_hgnn \
  --manifest datasets/bb_100000/pub_bb_d5_depol/manifest.json \
  --epochs 50

Generation

  • Software: HGNN @ {{GIT_SHA}}
  • Noise: depolarizing (*_depol) or circuit-level (*_cln, T1=80µs, T2=50µs, F2q=0.995)
  • Hypergraph: max_hyperedges=full (no DEM truncation)
  • p values: 5e-4 … 2e-2 (8 points)

Citation

@dataset{katirci2026hgnnbb,
  author    = {Kat{\i}rc{\i}, Ramazan},
  title     = {{HGNN BB QLDPC Syndrome Datasets}},
  year      = {2026},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/ramazankatirci/hgnn-bb-qldpc},
  doi       = {{{ZENODO_PRIMARY_DOI}}}
}

License

CC-BY-4.0

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