Update README.md

README.md

@@ -15,46 +15,107 @@ task_categories:
   - image-classification
 size_categories:
   - n<1K
-dataset_description: |
-  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:
-
-  > "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 aims to support AI research by providing high-quality handwritten samples to train and evaluate machine learning models.
-dataset_structure: |
-  - **Images**: Handwritten text images (e.g., `.png`, `.jpg`) stored in the `images/` directory.
-  - **Metadata**: A `metadata.csv` file linking each image to its transcription.
-
-    **Example:**
-    ```
-    file_name,text
-    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!"
-    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!"
-    ```
-intended_uses: |
-  ### ✅ Direct Use
-  - OCR model training and benchmarking
-  - Handwritten text classification
-  - AI research in human-written data modeling
-
-  ### ❌ Out-of-Scope Use
-  - Real-time handwriting identification
-  - Signature verification or forensic handwriting analysis
-  - Any use without appropriate attribution per the license
-limitations: |
-  - Dataset is relatively small (<1,000 samples)
-  - All samples use the same paragraph; not useful for diverse language modeling
-  - Does not include writer demographics, script variation, or multilingual data
-license_info: |
-  **License**: CC BY 4.0 — Free to use, modify, and share with attribution.
-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}
-  }
----
+---
+
+# 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.
+
+- **Curated by:** Open Contributors
+- **Funded by [optional]:** N/A
+- **Shared by [optional]:** Community
+- **Language(s) (NLP):** English
+- **License:** CC BY 4.0
+
+### Dataset Sources [optional]
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** N/A
+- **Demo [optional]:** N/A
+
+## 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 [optional]
+
+#### Annotation process
+
+Each image is paired with the same predefined sentence. Since all transcriptions are identical, no manual transcription was required.
+
+#### Who are the annotators?
+
+The dataset creators themselves aligned filenames with the known transcription.
+
+#### 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.
+
+## Citation [optional]
+
+**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}
+}