Duplicate from humyn-labs/KAI_handwriting-ocr

Co-authored-by: Humyn Labs <HumynLabs@users.noreply.huggingface.co>

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README.md

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+---
+license: cc-by-4.0
+pretty_name: Handwriting Recognition Dataset
+language:
+  - en
+tags:
+  - handwriting
+  - ocr
+  - computer-vision
+  - text-recognition
+  - ai-research
+  - handwritten-text
+task_categories:
+  - image-classification
+size_categories:
+  - n<1K
+---
+
+# Dataset Card for Handwriting Recognition Dataset
+
+This dataset contains a collection of handwritten text images designed to improve OCR (Optical Character Recognition) and text recognition models. Each image is labeled with a transcription of the same sentence, allowing models to learn to map handwritten content to its textual equivalent.
+
+## Dataset Details
+
+### Dataset Description
+
+This dataset contains images of handwritten English text contributed by various individuals. Each image includes the same standard sentence:
+
+> "AI learns from data. Your handwriting helps machines read text better. Write clearly; good handwriting boosts AI accuracy. This small act aids AI research. Thanks for your support!"
+
+The dataset is ideal for training and evaluating OCR models and applications involving handwritten text recognition.
+
+## Uses
+
+### Direct Use
+
+- Training OCR models to recognize English handwritten text.
+- Fine-tuning vision models on handwritten content.
+- Educational purposes in AI research and ML bootcamps.
+
+### Out-of-Scope Use
+
+- Real-time handwriting verification or personal identity recognition.
+- Commercial use without proper attribution under CC BY 4.0.
+- Any use that attempts to link handwriting to individuals.
+
+## Dataset Structure
+
+Each sample consists of:
+
+- An image (`.jpg` or `.png`) stored in the `images/` directory.
+- A `metadata.csv` file with columns:
+  - `file_name`: name of the image file (e.g., `sample_01.jpg`)
+  - `text`: transcription of the handwritten sentence (identical for all rows)
+
+## Dataset Creation
+
+### Curation Rationale
+
+The dataset was curated to help improve handwritten text recognition, especially for machine learning systems that require structured, consistent inputs.
+
+### Source Data
+
+#### Data Collection and Processing
+
+Contributors were asked to write a standard sentence on paper and scan or photograph it under good lighting. All images were manually checked for clarity, contrast, and legibility.
+
+#### Who are the source data producers?
+
+Anonymous contributors with diverse handwriting styles. No personal data was collected.
+
+### Annotations
+
+#### Annotation process
+
+Each image is paired with the same predefined sentence. Since all transcriptions are identical, no manual transcription was required.
+
+#### Personal and Sensitive Information
+
+No personally identifiable or sensitive data is included in the dataset.
+
+## Bias, Risks, and Limitations
+
+- Handwriting samples may lack diversity in script style and regional variations.
+- All samples use English and the same sentence — not suitable for language modeling or multilingual OCR.
+- Models trained on this dataset may not generalize well to varied real-world handwriting.
+
+### Recommendations
+
+- Combine with other handwritten datasets for broader coverage.
+- Use only for academic, non-commercial experimentation unless explicitly licensed.
+
+---
+## Contact
+
+  - For queries or collaborations related to datasets, contact at :
+    - anoushka@kgen.io
+    - abhishek.vadapalli@kgen.io
+
+## Citation
+
+**BibTeX:**
+
+```bibtex
+@misc{handwriting_recognition_dataset,
+  title = {Handwriting Recognition Dataset},
+  author = {Various Contributors},
+  year = {2025},
+  howpublished = {\url{https://huggingface.co/datasets/your-org/handwriting-recognition}},
+  note = {Dataset available under CC BY 4.0 license}
+}