HumynLabs/Handwritten-Computer-Science-Notes-Dataset

1---2license: cc-by-4.03pretty_name: 'English Handwritten Computer Science Notes Dataset'4language:5- en6tags:7- image8- handwritten9- english10- computer-science11- notes12- text-recognition13- ocr14- code-recognition15- document-understanding16- ai-research17- computer-vision18task_categories:19- image-classification20size_categories:21- 1K<n<10K22---23 24# English Handwritten Computer Science Notes Dataset25*This dataset contains high-resolution images of handwritten computer science notes written in English. It includes algorithm explanations, code snippets, flowcharts, theoretical content, and annotations. The dataset is designed to support AI research in handwriting recognition, OCR, and document understanding specifically for computer science education.*26 27## Contact28For queries or collaborations related to this dataset, contact:  29  - anoushka@kgen.io  30  - abhishek.vadapalli@kgen.io  31 32## Supported Tasks33 34- **Task Categories**:  35  - Image Classification  36  - Text and Code Recognition (OCR)  37  - Diagram and Flowchart Detection  38  - Document Layout Understanding  39 40- **Supported Tasks**:  41  - Recognition of handwritten computer science notes and pseudo-code  42  - OCR for structured and indented handwritten text  43  - Identification of algorithms, syntax patterns, and logic flow  44  - Detection and analysis of flowcharts or architecture diagrams  45  - AI research in handwritten code interpretation and educational note digitization  46 47## Languages48 49- **Primary Language**: English  50- **Secondary Presence**: Programming keywords and symbols (e.g., if, for, while, { }, =, !=, etc.)  51 52## Dataset Creation53 54### Curation Rationale55The dataset was curated to help AI systems accurately read, interpret, and digitize handwritten computer science content. It supports education, content archiving, and the development of handwriting-based programming assistance tools.56 57### Source Data58- **Contributors**: Students, instructors, and volunteers submitting handwritten computer science notes  59- **Collection Process**: Notes were scanned or photographed. All identifiable personal data were removed before inclusion.  60 61### Other Known Limitations62- **Bias**: Focused mainly on academic-level notes (introductory to intermediate topics)  63- **Variability**: Differences in handwriting styles, indentation consistency, and notation use  64- **Scope**: Primarily algorithms, data structures, and theory; limited advanced research content  65 66## Intended Uses67 68### ✅ Direct Use69- Training handwriting OCR and layout recognition systems  70- Research in handwritten programming and algorithm comprehension  71- Digitization of handwritten lecture and study materials  72- Development of AI-assisted note-to-code or note-organization tools  73 74### ❌ Out-of-Scope Use75- Any attempt to identify individuals by handwriting  76- Commercial reuse of handwriting without consent  77- Surveillance or behavioral analysis from handwriting or note patterns  78 79## License80 81CC BY 4.082