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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:
TBA
License
See the repository license for terms of use.
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