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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. |