DohaScript / README.md
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---
language:
- hi
license: other
task_categories:
- optical-character-recognition
- image-classification
- computer-vision
tags:
- handwriting
- devanagari
- hindi
- ocr
- document-intelligence
- computer-vision
pretty_name: Hindi Handwriting Dataset (Sample)
size_categories:
- n<1K
---
# Hindi Handwriting Dataset (Sample)
## Dataset Description
This repository contains a **sample subset of 200 handwritten Hindi (Devanagari) document images** from **DohaScript**, a multi-writer handwriting dataset. Each image corresponds to a unique writer and has been collected with the participant's **informed consent**.
The dataset is intended for **research and educational purposes**, particularly in handwriting recognition, Optical Character Recognition (OCR), document intelligence, and related computer vision tasks.
> **Note:** This repository contains **only 200 samples**. The complete **DohaScript** dataset comprises **531 handwritten pages from 531 unique writers**.
---
# Dataset Statistics
## Sample Dataset (This Repository)
| Attribute | Value |
|-----------|-------|
| Language | Hindi (Devanagari) |
| Images | 200 |
| Contributors | 200 unique writers |
| Image Format | JPG |
| Data Modality | Handwritten document images |
| Metadata Available | Gender, Age, District, Latitude, Longitude |
| Personally Identifiable Information | None |
| Consent Obtained | Yes |
## Full DohaScript Dataset
| Attribute | Value |
|-----------|-------|
| Total Pages | 531 |
| Unique Writers | 531 |
| Language | Hindi (Devanagari) |
| Corpus | Six Hindi Dohas (89 words) |
---
# Repository Structure
```
.
├── images/
│ ├── F-18-GAYA.jpg
│ ├── F-21-MADHUBANI.jpg
│ ├── M-18-JAMMU.jpg
│ └── ...
├── metadata.csv
└── README.md
```
---
# File Naming Convention
Each image follows the format
```
X-NN-DDDD.jpg
```
where `DDDD` is a variable-length district label.
### Fields
### Gender (`X`)
- `M` → Male
- `F` → Female
### Age (`NN`)
Age of the participant in years.
Examples:
```
18
23
45
```
### District (`DDDD`)
The participant's hometown district.
Example filenames:
```
F-18-GAYA.jpg
F-21-MADHUBANI.jpg
M-18-JAMMU.jpg
```
---
# Metadata
Each handwriting image has a corresponding entry in **metadata.csv**.
| Column | Description |
|--------|-------------|
| `S. No.` | Unique sample identifier |
| `Filename` | Image filename |
| `Gender` | Writer gender (`M` or `F`) |
| `Age` | Age of the writer (years) |
| `City` | Home district/city of the participant |
| `Latitude` | Latitude of the district/city |
| `Longitude` | Longitude of the district/city |
The metadata enables demographic and geographic analyses while preserving participant privacy. No personally identifiable information is included.
---
# Data Collection
- One handwritten page per participant
- Individual volunteers
- Informed consent obtained before data collection
- Collected solely for research and educational purposes
- Personally identifiable information removed prior to release
---
# Intended Uses
This dataset can be used for research in:
- Hindi Handwriting Recognition
- Optical Character Recognition (OCR)
- Document Intelligence
- Writer Identification and Analysis
- Computer Vision
- Pattern Recognition
- Machine Learning
- Educational Projects
---
# Out-of-Scope Uses
This dataset **must not** be used for:
- Biometric identification
- Surveillance
- Profiling individuals
- Commercial deployment without permission
---
# Privacy and Ethics
The dataset has been curated following ethical research practices.
- No names or personal identifiers are included.
- No addresses are provided.
- Demographic information is limited to age and gender.
- Geographic information is provided only at the district/city level.
- All participants voluntarily contributed their handwriting with informed consent.
Users of this dataset are expected to uphold the same ethical standards.
---
# Citation
If you use this dataset in a publication, thesis, benchmark, report, or research project, **please cite the DohaScript paper.**
## Paper
**DohaScript: A Large-Scale Multi-Writer Dataset for Continuous Handwritten Hindi Text**
**arXiv:** https://arxiv.org/abs/2602.18089
### BibTeX
```bibtex
@article{singh2026dohascript,
title={DohaScript: A Large-Scale Multi-Writer Dataset for Continuous Handwritten Hindi Text},
author={Singh, Kunwar Arpit and Prakash, Ankush and Lone, Haroon R},
journal={arXiv preprint arXiv:2602.18089},
year={2026}
}
```
---
# License
This dataset is released **for research and educational purposes only**.
Commercial use requires explicit permission from the authors.
Redistribution should retain this README and the citation information.
---
# Contact
For questions, permission requests, or issues regarding the dataset, please open an issue in this repository.