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- license: cc-by-nc-4.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - hi
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+ license: other
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+ task_categories:
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+ - optical-character-recognition
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+ - image-classification
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+ - computer-vision
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+ tags:
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+ - handwriting
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+ - devanagari
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+ - hindi
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+ - ocr
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+ - document-intelligence
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+ - computer-vision
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+ pretty_name: Hindi Handwriting Dataset (Sample)
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+ size_categories:
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+ - n<1K
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  ---
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+
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+ # Hindi Handwriting Dataset (Sample)
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+
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+ ## Dataset Description
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+
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+ 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**.
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+
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+ The dataset is intended for **research and educational purposes**, particularly in handwriting recognition, Optical Character Recognition (OCR), document intelligence, and related computer vision tasks.
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+
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+ > **Note:** This repository contains **only 200 samples**. The complete **DohaScript** dataset comprises **531 handwritten pages from 531 unique writers**.
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+
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+ ---
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+
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+ # Dataset Statistics
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+
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+ ## Sample Dataset (This Repository)
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+
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+ | Attribute | Value |
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+ |-----------|-------|
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+ | Language | Hindi (Devanagari) |
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+ | Images | 200 |
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+ | Contributors | 200 unique writers |
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+ | Image Format | JPG |
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+ | Data Modality | Handwritten document images |
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+ | Metadata Available | Gender, Age, District, Latitude, Longitude |
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+ | Personally Identifiable Information | None |
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+ | Consent Obtained | Yes |
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+
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+ ## Full DohaScript Dataset
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+
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+ | Attribute | Value |
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+ |-----------|-------|
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+ | Total Pages | 531 |
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+ | Unique Writers | 531 |
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+ | Language | Hindi (Devanagari) |
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+ | Corpus | Six Hindi Dohas (89 words) |
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+
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+ ---
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+
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+ # Repository Structure
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+
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+ ```
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+ .
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+ ├── images/
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+ │ ├── F-18-GAYA.jpg
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+ │ ├── F-21-MADHUBANI.jpg
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+ │ ├── M-18-JAMMU.jpg
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+ │ └── ...
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+ ├── metadata.csv
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+ └── README.md
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+ ```
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+
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+ ---
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+
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+ # File Naming Convention
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+
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+ Each image follows the format
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+
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+ ```
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+ X-NN-DDDD.jpg
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+ ```
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+
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+ where `DDDD` is a variable-length district label.
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+
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+ ### Fields
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+
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+ ### Gender (`X`)
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+
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+ - `M` → Male
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+ - `F` → Female
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+
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+ ### Age (`NN`)
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+
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+ Age of the participant in years.
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+
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+ Examples:
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+
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+ ```
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+ 18
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+ 23
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+ 45
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+ ```
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+
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+ ### District (`DDDD`)
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+
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+ The participant's hometown district.
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+
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+ Example filenames:
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+
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+ ```
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+ F-18-GAYA.jpg
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+ F-21-MADHUBANI.jpg
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+ M-18-JAMMU.jpg
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+ ```
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+
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+ ---
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+
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+ # Metadata
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+
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+ Each handwriting image has a corresponding entry in **metadata.csv**.
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+
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+ | Column | Description |
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+ |--------|-------------|
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+ | `S. No.` | Unique sample identifier |
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+ | `Filename` | Image filename |
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+ | `Gender` | Writer gender (`M` or `F`) |
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+ | `Age` | Age of the writer (years) |
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+ | `City` | Home district/city of the participant |
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+ | `Latitude` | Latitude of the district/city |
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+ | `Longitude` | Longitude of the district/city |
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+
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+ The metadata enables demographic and geographic analyses while preserving participant privacy. No personally identifiable information is included.
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+
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+ ---
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+
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+ # Data Collection
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+
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+ - One handwritten page per participant
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+ - Individual volunteers
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+ - Informed consent obtained before data collection
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+ - Collected solely for research and educational purposes
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+ - Personally identifiable information removed prior to release
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+
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+ ---
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+
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+ # Intended Uses
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+
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+ This dataset can be used for research in:
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+
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+ - Hindi Handwriting Recognition
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+ - Optical Character Recognition (OCR)
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+ - Document Intelligence
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+ - Writer Identification and Analysis
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+ - Computer Vision
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+ - Pattern Recognition
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+ - Machine Learning
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+ - Educational Projects
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+
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+ ---
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+
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+ # Out-of-Scope Uses
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+
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+ This dataset **must not** be used for:
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+
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+ - Biometric identification
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+ - Surveillance
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+ - Profiling individuals
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+ - Commercial deployment without permission
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+
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+ ---
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+
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+ # Privacy and Ethics
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+
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+ The dataset has been curated following ethical research practices.
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+
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+ - No names or personal identifiers are included.
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+ - No addresses are provided.
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+ - Demographic information is limited to age and gender.
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+ - Geographic information is provided only at the district/city level.
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+ - All participants voluntarily contributed their handwriting with informed consent.
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+
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+ Users of this dataset are expected to uphold the same ethical standards.
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+
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+ ---
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+
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+ # Citation
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+
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+ If you use this dataset in a publication, thesis, benchmark, report, or research project, **please cite the DohaScript paper.**
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+
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+ ## Paper
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+
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+ **DohaScript: A Large-Scale Multi-Writer Dataset for Continuous Handwritten Hindi Text**
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+
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+ **arXiv:** https://arxiv.org/abs/2602.18089
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+
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+ ### BibTeX
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+
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+ ```bibtex
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+ @article{singh2026dohascript,
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+ title={DohaScript: A Large-Scale Multi-Writer Dataset for Continuous Handwritten Hindi Text},
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+ author={Singh, Kunwar Arpit and Prakash, Ankush and Lone, Haroon R},
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+ journal={arXiv preprint arXiv:2602.18089},
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+ year={2026}
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+ }
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+ ```
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+
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+ ---
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+
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+ # License
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+
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+ This dataset is released **for research and educational purposes only**.
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+ Commercial use requires explicit permission from the authors.
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+
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+ Redistribution should retain this README and the citation information.
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+
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+ ---
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+
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+ # Contact
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+
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+ For questions, permission requests, or issues regarding the dataset, please open an issue in this repository.