HumynLabs/English-Handwritten-Math-Notes-Dataset

1---2license: cc-by-4.03pretty_name: 'English Handwritten Math Notes Dataset'4language:5- en6tags:7- image8- handwritten9- english10- mathematics11- notes12- text-recognition13- ocr14- equation-recognition15- document-understanding16- ai-research17- computer-vision18task_categories:19- image-classification20size_categories:21- 1K<n<10K22---23 24# English Handwritten Math Notes Dataset25*This dataset contains high-resolution images of handwritten mathematical notes written in English. It includes problem statements, worked examples, formulas, and annotated derivations. The dataset supports AI research in handwriting recognition, mathematical OCR, and document understanding for STEM applications.*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 Equation Recognition (OCR)  37  - Document Structure Analysis  38 39- **Supported Tasks**:  40  - Handwriting recognition of English mathematical text and symbols  41  - Equation segmentation and symbol-level classification  42  - OCR for handwritten problem-solving steps  43  - Document layout analysis for structured handwritten notes  44  - Research in AI-assisted math transcription and digital learning tools  45 46## Languages47 48- **Primary Language**: English  49- **Secondary Presence**: Mathematical symbols, formula notation (e.g., ∑, ∫, √, etc.)  50 51## Dataset Creation52 53### Curation Rationale54The dataset was created to advance AI models capable of interpreting handwritten mathematics and textual content together. It aids research in educational AI, note digitization, and intelligent tutoring systems.55 56### Source Data57- **Contributors**: Students, educators, and volunteers who shared personal or class notes  58- **Collection Process**: Notes were photographed or scanned. Any personal information, including names or contact details, was removed prior to inclusion.  59 60### Other Known Limitations61- **Bias**: Notes from specific academic levels (high school or undergraduate) may dominate  62- **Complexity Range**: May vary from basic arithmetic to advanced calculus  63- **Paper and Pen Variability**: Image clarity may differ based on paper type and ink used  64 65## Intended Uses66 67### ✅ Direct Use68- Training OCR and equation recognition models  69- AI research in handwriting interpretation for STEM education  70- Developing intelligent tutoring and digital note systems  71- Enhancing document understanding for handwritten math content  72 73### ❌ Out-of-Scope Use74- Reconstruction of contributor identities or personal data  75- Unauthorized commercial reuse of handwriting samples  76- Surveillance or profiling based on handwriting characteristics  77 78## License79 80CC BY 4.081