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