Duplicate from Aquiles-ai/Medical-Vision

Co-authored-by: Fredy Rivera <Fredtt3@users.noreply.huggingface.co>

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README.md

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+---
+license: apache-2.0
+task_categories:
+- visual-question-answering
+language:
+- en
+tags:
+- medical
+- vision
+- multimodal
+---
+
+# Medical-Vision: High-Quality Medical Visual Question Answering Dataset (Aquiles-ai/Medical-Vision)
+
+## Dataset Description
+
+**Medical-Vision** is a curated dataset designed for Visual Question Answering (VQA) in medical contexts. This dataset combines high-quality medical images with corresponding questions and expert answers, making it ideal for training and evaluating vision-language models in healthcare applications.
+
+### Key Features
+
+- **8,035 high-quality examples**
+- **Diverse medical imaging modalities** (X-rays, CT scans, MRI, pathology slides, etc.)
+- **Natural question-answer pairs** covering clinical interpretations, diagnoses, and medical descriptions
+- **Carefully curated and preprocessed** from multiple authoritative sources
+- **Randomly shuffled** to prevent training biases
+
+## Dataset Structure
+
+### Data Fields
+
+- `image`: PIL Image object containing the medical image
+- `question`: String with the medical question about the image
+- `answer`: String with the expert answer or description
+
+### Data Splits
+
+| Split | Examples |
+|-------|----------|
+| train | 8,035 |
+
+## Usage
+
+### Loading the Dataset
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("Aquiles-ai/Medical-Vision")
+
+# Access the training split
+train_data = dataset['train']
+
+# View dataset info
+print(f"Number of examples: {len(train_data)}")
+print(f"Features: {train_data.features}")
+```
+
+### Example Usage
+
+```python
+from datasets import load_dataset
+from PIL import Image
+import matplotlib.pyplot as plt
+
+# Load dataset
+dataset = load_dataset("Aquiles-ai/Medical-Vision")
+
+# Get a random example
+example = dataset['train'][0]
+
+# Display the image
+plt.figure(figsize=(10, 6))
+plt.imshow(example['image'])
+plt.axis('off')
+plt.title('Medical Image')
+plt.show()
+
+# Print Q&A
+print(f"Question: {example['question']}")
+print(f"\nAnswer: {example['answer']}")
+```
+
+**Output Example:**
+```
+Question: What do you see in this image? Describe it medically.
+
+Answer: The chest X-ray shows bilateral infiltrates consistent with 
+pulmonary edema. There is also cardiomegaly with an enlarged cardiac 
+silhouette. The costophrenic angles are preserved, and no pleural 
+effusion is visible.
+```
+
+## Applications
+
+This dataset is suitable for:
+
+- **Medical Visual Question Answering**: Training models to answer questions about medical images
+- **Clinical Decision Support**: Developing AI assistants for radiologists and clinicians
+- **Medical Education**: Creating interactive learning tools for medical students
+- **Vision-Language Models**: Fine-tuning multimodal models (LLaVA, Qwen-VL, Asclepio, etc.)
+-  **Medical Image Captioning**: Generating descriptive captions for medical images
+
+## Dataset Creation
+
+### Quality Assurance
+
+- Manual verification of image-question-answer alignment
+- Removal of duplicates and low-quality examples
+- Validation of image loading and accessibility
+- Consistency checks across all data fields
+
+## Considerations for Use
+
+### Intended Use
+
+This dataset is intended for:
+- Research in medical AI and computer vision
+- Development of clinical decision support tools
+- Educational purposes in medical AI
+- Fine-tuning vision-language models for healthcare
+
+### Limitations
+
+- **Not for clinical diagnosis**: This dataset is for research and development only
+- **Language**: Currently only available in English
+- **Image quality**: Varies across source datasets
+- **Medical scope**: May not cover all medical specialties equally
+- **Requires expert validation**: Any clinical application requires validation by medical professionals
+
+### Ethical Considerations
+
+- All images are from publicly available medical datasets
+- No patient identifiable information (PII) is included
+- Users should follow appropriate ethical guidelines when deploying models trained on this data
+- Medical AI outputs should always be reviewed by qualified healthcare professionals
+
+## Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@dataset{medical_vision_2025,
+  title={Medical-Vision: High-Quality Medical Visual Question Answering Dataset (Aquiles-ai/Medical-Vision)},
+  author={Aquiles-ai},
+  year={2025},
+  publisher={Hugging Face},
+  url={https://huggingface.co/datasets/Aquiles-ai/Medical-Vision}
+}
+```
+
+## License
+
+This dataset is released under the Apache 2.0 License. Please refer to individual source datasets for their specific licensing terms.
+
+## Contact
+
+For questions, issues, or contributions, please open an issue on the dataset repository or contact the maintainers.
+
+- **More about [Aquiles-ai](https://aquiles.vercel.app).**
+
+- **Aquiles-ai on [GitHub](https://github.com/Aquiles-ai).**
+
+- **Our collections at [HuggingFace](https://huggingface.co/Aquiles-ai/collections).**
+
+**Disclaimer**: This dataset is provided for research and educational purposes only. It should not be used as a substitute for professional medical advice, diagnosis, or treatment.

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