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Synthetic Manuscript Dataset

Synthetic historical manuscript folios generated using an automated Python pipeline.

Scripts

The dataset contains three script configurations:

  • Devanagari
  • Modi
  • Sharada

Each script contains 100 synthetic manuscript folios.

Dataset Splits

Split Samples per Script
Train 85
Validation 10
Test 5
Total 100

Across all three scripts, the dataset contains:

  • 300 manuscript images
  • 300 corresponding Markdown (.md) annotations

Dataset Organization

devanagari/
β”œβ”€β”€ train/
β”œβ”€β”€ validation/
└── test/

modi/
β”œβ”€β”€ train/
β”œβ”€β”€ validation/
└── test/

sharada/
β”œβ”€β”€ train/
β”œβ”€β”€ validation/
└── test/

Every generated PNG manuscript has a corresponding Markdown ground-truth transcription.

Example:

devanagari_train_001.png
devanagari_train_001.md

Manuscript Styles

The generated folios include:

  • Aged handmade paper
  • Palm-leaf manuscript backgrounds
  • Paper fibres and aging
  • Stains and water damage
  • Irregular manuscript edges
  • Ink fading and smudging
  • Calligraphic variation
  • Baseline waviness
  • Multiple manuscript layouts
  • Highlighted manuscript text

Generation

The dataset was produced using the Synthetic Manuscript Generator, an automated Python pipeline supporting Devanagari, Modi, and Sharada scripts.

Each image is accompanied by synchronized ground-truth text in Markdown format.

Author

Vedant Paturkar

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