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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1520, in _prepare_split_single
                  for key, record in generator:
                                     ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 130, in _generate_examples
                  for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
                                              ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 34, in _get_pipeline_from_tar
                  for filename, f in tar_iterator:
                                     ^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
                  for x in self.generator(*self.args):
                           ~~~~~~~~~~~~~~^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
                  with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
                       ~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
                  file_obj = fs.open(paths[0], mode)
                File "<string>", line 3, in open
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
                  return self._mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
                  return self._execute_mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
                  result = effect(*args, **kwargs)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
                  tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
                                                               ~~~^^^^^^^^
              TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
              
              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/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1382, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1560, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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End of preview.

Multilingual LSB Stego Dataset

Dataset Summary

This dataset contains 432,000 RGB images (~345 GB) generated to study the detectability of Least Significant Bit (LSB) steganography under controlled, reproducible settings. It enables systematic analysis across multiple resolutions, bit-depths, payload ratios, embedding policies, and languages, and includes per-file metadata for deterministic message recovery.

  • Total size: ~345 GB
  • Images: 432,000
  • Languages (payload): EN, DE, ES, FR, IT, TR
  • Resolutions: 128×128, 256×256, 512×512, 1024×1024
  • Bits per byte (LSB depth): 1, 2, 4
  • Payload ratios (of capacity): 0.25, 0.50, ~1.00
  • Embedding policies: sequential, random (seeded)
  • Metadata: JSON for each stego image (original filename, message length, bpp, policy, seed, status)
  • Deterministic header: flag | msg_len(32) | num_bits_code(2) | [seed(32)] for exact extraction

Abstract

TBA

Folder Structure

LSBStegoDataset/
 ├── 128x128_en/      256x256_en/      512x512_en/      1024x1024_en/
 ├── 128x128_de/      256x256_de/      512x512_de/      1024x1024_de/
 ├── 128x128_es/      256x256_es/      512x512_es/      1024x1024_es/
 ├── 128x128_fr/      256x256_fr/      512x512_fr/      1024x1024_fr/
 ├── 128x128_it/      256x256_it/      512x512_it/      1024x1024_it/
 └── 128x128_tr/      256x256_tr/      512x512_tr/      1024x1024_tr/

Each leaf folder contains:

  • Stego images (as PNG)
  • JSON metadata for each stego image (embedding parameters & verification)
  • (Optionally) histogram PNG/JSON if generated

Usage

from datasets import load_dataset

# Load entire repository
ds = load_dataset("emirozturk/LSBStegoDataset")

# Load a specific subset/folder (example: 256x256 Turkish)
ds_tr256 = load_dataset(
    "emirozturk/LSBStegoDataset",
    data_files="256x256_tr/*"
)

Typical Research Tasks

  • Detectability vs. payload × bpp × policy × language × resolution
  • Cross-lingual generalization of steganalysis models
  • Feature-level analyses of language-induced bit statistics

Citation

If you use this dataset, please cite:

@article{ozturk2026comprehensive,
  title={Comprehensive Dataset for Analyzing Detectability in LSB Steganography},
  author={{\"O}zt{\"u}rk, E. and Mesut, A. and Fidan, {\"O}. A.},
  journal={Bili{\c{s}}im Teknolojileri Dergisi},
  volume={19},
  number={1},
  pages={79--90},
  year={2026}
}

License

See the repository license for terms of use.

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