Datasets:
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README.md
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license: cc-by-4.0
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language:
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- en
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task_categories:
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- text-classification
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tags:
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- handwriting
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- text-recognition
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- ocr
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- ai-research
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- handwriting-analysis
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- natural-writing
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- penmanship
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- handwritten-text
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size_categories:
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- n<1K
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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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- optical-character-recognition
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- image-classification
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size_categories:
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- n<1K
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dataset_description: |
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This dataset contains a collection of handwritten text images designed to improve **Optical Character Recognition (OCR)** and text recognition models. Each image is accompanied by a transcription of the following standardized 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 aims to support AI research by providing high-quality handwritten samples to train and evaluate machine learning models.
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dataset_structure: |
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- **Images**: Handwritten text images (e.g., `.png`, `.jpg`) stored in the `images/` directory.
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- **Metadata**: A `metadata.csv` file linking each image to its transcription.
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**Example:**
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```
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file_name,text
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sample_01.jpg,"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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sample_02.jpg,"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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```
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intended_uses: |
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### ✅ Direct Use
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- OCR model training and benchmarking
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- Handwritten text classification
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- AI research in human-written data modeling
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### ❌ Out-of-Scope Use
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- Real-time handwriting identification
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- Signature verification or forensic handwriting analysis
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- Any use without appropriate attribution per the license
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limitations: |
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- Dataset is relatively small (<1,000 samples)
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- All samples use the same paragraph; not useful for diverse language modeling
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- Does not include writer demographics, script variation, or multilingual data
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license_info: |
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**License**: CC BY 4.0 — Free to use, modify, and share with attribution.
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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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---
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