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README.md
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---
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pretty_name: Classical Cipher Corpus
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license: mit
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task_categories:
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- text-classification
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language:
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- en
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tags:
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- cryptography
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- classical-ciphers
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- cryptanalysis
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- cybersecurity-education
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- synthetic-data
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size_categories:
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- 10K<n<100K
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---
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# Classical Cipher Corpus
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A labeled educational dataset of classical cipher examples for teaching cryptanalysis and training small cipher-family classifiers.
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## Intended use
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- Teach classical cryptanalysis.
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- Benchmark educational cipher-family detectors.
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- Train small text classifiers for Hugging Face Spaces.
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- Demonstrate why historical ciphers are not modern security.
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## Not intended for
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- Unauthorized access.
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- Surveillance.
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- Breaking modern encryption.
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- Password recovery.
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- Bypassing security controls.
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- Real-world cryptographic security claims.
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## Schema
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Each line of `cipher_examples.jsonl` is one record:
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```json
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{
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"id": "cda-0000042",
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"text": "WKLV LV D FODVVLFDO FDHVDU FLSKHU GHPR",
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"ciphertext": "WKLV LV D FODVVLFDO FDHVDU FLSKHU GHPR",
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"plaintext": "THIS IS A CLASSICAL CAESAR CIPHER DEMO",
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"label": "caesar_rot",
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"cipher": "caesar_rot",
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"key": {"shift": 3},
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"difficulty": "medium",
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"language": "en",
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"text_length": 38,
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"length": 38,
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"attack_methods": ["brute_force_26", "frequency_analysis", "chi_squared_english"],
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"educational_note": "Caesar / ROT-N is a single-shift monoalphabetic cipher with only 26 keys.",
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"source": "synthetic_educational"
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}
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```
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`text` and `ciphertext` are kept as aliases for compatibility. `text_length` and `length` likewise.
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## Labels
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- `plaintext`
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- `caesar_rot`
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- `atbash`
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- `vigenere`
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- `rail_fence`
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- `columnar`
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- `affine`
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- `substitution`
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## Construction
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The dataset is generated synthetically from educational English plaintext templates and classical cipher transforms. It is reproducible with:
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```bash
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python scripts/generate_dataset.py --out data/cipher_examples.jsonl --n 50000 --seed 42
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```
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## Biases and limitations
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- Mostly English.
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- Synthetic text.
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- Limited cipher families.
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- Not representative of modern encryption.
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- Not a benchmark for real-world cryptanalytic capability.
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- Model performance on this dataset should be framed only as educational classification performance.
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## Responsible framing
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This dataset exists to teach pattern leakage in classical ciphers. It should be used to make learners more skeptical of weak encryption claims and more respectful of modern, well-reviewed cryptography.
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