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Add Information to Data Preparation #14

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7 changes: 6 additions & 1 deletion monai_vila2d/data_prepare/README.md
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### Report Generation Datasets

- MIMIC-CXR-JPG: The MIMIC-CXR-JPG Database v2.0.0 is a publicly available dataset containing 377,110 chest X-ray images in JPG format, along with structured labels derived from 227,827 radiology reports. The dataset is a processed version of MIMIC-CXR, with removed protected health information (PHI) to comply with HIPAA regulations. Its purpose is to support medical research in image understanding, natural language processing, and decision support, providing a standard reference for data splits and image labels.

### Chest X-ray Classification Datasets

### Expert Model Datasets
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- CT
- CXR
- Medical-Diff-VQA
- MIMIC-CXR-JPG
- MRI

| Dataset | QA Pairs | Images | Link |
| Dataset | QA/Text Pairs | Images | Link |
|-----------|-----------|-----------|------|
| PathVQA | ~32,000 | ~4,000 | [PathVQA](https://github.com/UCSD-AI4H/PathVQA) |
| RadVQA | ~25,000 | ~7,000 | [RadVQA](https://github.com/abachaa/VQA-Med-2019) |
| SLAKE | ~45,000 | ~14,000 | [SLAKE](https://github.com/SLAKE-SLAKE/SLAKE) |
| Medical-Diff-VQA | ~429,000 | 129,232 | [MIMIC-VQA](https://physionet.org/content/medical-diff-vqa/1.0.0) |
| MIMIC-CXR-JPG | 270,784 | 270,784 | [MIMIC-CXR-JPG](https://physionet.org/content/mimic-cxr-jpg/2.1.0/) |
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