CoolFace
Datasetpublic

ved1245/synthetic-manuscript-dataset

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… See the full description on the dataset page: https://huggingface.co/datasets/ved1245/synthetic-manuscript-dataset.

sourceHugging Faceupdated 12d agoView on Hugging Face
1likes626downloads
Dataset Card

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

SplitSamples per Script
Train85
Validation10
Test5
Total100

Across all three scripts, the dataset contains:

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

Dataset Organization

text
devanagari/
├── train/
├── validation/
└── test/

modi/
├── train/
├── validation/
└── test/

sharada/
├── train/
├── validation/
└── test/

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

Example:

text
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