chandrabhuma/AnswerScripts

🧑‍🎓✏️📚 Student Handwritten Exam Dataset🧑‍🎓✏️📚

📌 Dataset Summary

This dataset contains real-world handwritten examination answer scripts collected from 21 students, scanned using mobile phone cameras. The images were manually organized into 21 class folders, corresponding to individual students.

The dataset includes 5,914 images, all resized to 224×224 pixels, and contains natural variations such as rotation and flipping, making it suitable for training robust document image classification and recognition models.

This dataset is intended for research and development in:

✍️ Handwriting-Based Biometric Identification

🎯 Writer Identification

🤖 Image Classification

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📊 Dataset Statistics

Property	Value
Total Students (Classes)	21
Total Images	5,914
Image Resolution	224 × 224
Image Type	RGB
Acquisition Method	Mobile Phone Scanning
Task Type	Image Classification
Dataset Structure	Folder-wise class labels

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📁 Dataset Structure

Each folder corresponds to one student, and contains scanned handwritten answer script images belonging to that student.

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🖼️ Nature of Images

The dataset includes diverse handwriting styles, variations in lighting, orientation, and background, providing realistic challenges for machine learning models.

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🎯 Intended Use

This dataset is suitable for:

• Handwritten document image classification
• Student-wise handwriting identification
• Document image preprocessing research
• OCR pipeline development
• Deep learning model benchmarking

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⚠️ Limitations

• Dataset size is moderate (≈6K images).
• Images were captured using mobile devices, so lighting and perspective variations exist.
• No word-level or character-level annotations are provided.

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🧾 License

This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

You are free to:

• Share
• Adapt
• Use commercially

with proper attribution.

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👥 Contributors

• Chandra Mohan Bhuma (Professor, Dept of ECE, Bapatla Engineering College, Bapatla)
• — 📧 chandrabhuma@gmail.com
• Mahaboob Subani Shaik(Asst.Professor, Dept of ECE, Bapatla Engineering College, Bapatla)
• — 📧 skmsubanibec@gmail.com
• Gundreddy Dhatri(UG Student, Dept of ECE, Bapatla Engineering College, Bapatla)
• — 📧 gundreddydhatri@gmail.com
• Munagala Gowtham(UG Student, Dept of ECE, Bapatla Engineering College, Bapatla)
• — 📧 munagalagowtham130@gmail.com
• Motupalli Dinesh Kumar(UG Student, Dept of ECE, Bapatla Engineering College, Bapatla)
• — 📧 dineshmotupalli44@gmail.com
• Molathoti David Living Stone(UG Student, Dept of ECE, Bapatla Engineering College, Bapatla)
• — 📧 davidlivingstone200308@gmail.com

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📣 Citation

If you use this dataset in your research, please cite as:

@dataset{handwritten_exam_scripts_2026, title = {Student Handwritten Exam Dataset}, author = {Chandra Mohan B, Subani, Sk. M. and Dhatri, Gundreddy and Gowtham, Munagala and Dinesh Kumar, Motupalli and David Living Stone, Molathoti}, year = {2026}, publisher = {Hugging Face}, url = {https://huggingface.co/datasets/ /} }