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@@ -22,10 +22,10 @@ dataset_info:
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  num_bytes: 13892105733.76
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  num_examples: 4320
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  - name: val
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- num_bytes: 1710561765.0
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  num_examples: 540
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  - name: test
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- num_bytes: 1732489868.0
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  num_examples: 540
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  download_size: 17342416928
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  dataset_size: 17335157366.760002
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  path: data/val-*
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  - split: test
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  path: data/test-*
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  num_bytes: 13892105733.76
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  num_examples: 4320
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  - name: val
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+ num_bytes: 1710561765
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  num_examples: 540
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  - name: test
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+ num_bytes: 1732489868
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  num_examples: 540
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  download_size: 17342416928
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  dataset_size: 17335157366.760002
 
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  path: data/val-*
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  - split: test
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  path: data/test-*
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+ license: cc-by-nc-4.0
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+ task_categories:
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+ - text-generation
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+ language:
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+ - vi
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  ---
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+
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+ # ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models
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+
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+ ViX-Ray is the **first publicly available Vietnamese chest X-ray dataset** designed for vision-language model (VLM) research in medical AI. It pairs radiographic images from Vietnamese patients with expert-written clinical annotations in Vietnamese, directly addressing the lack of Vietnamese medical data in existing VLMs.
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+
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+ - **License**: CC BY-NC-SA 4.0
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+ - **Paper**: [arXiv:2603.15513](https://arxiv.org/abs/2603.15513)
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+
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+ ---
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+
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+ ## Dataset Overview
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+
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+ Each sample contains a PA-view chest X-ray image paired with Vietnamese-language radiology reports written by certified radiologists. All Protected Health Information (PHI) has been removed; clinically relevant metadata (age, gender) is retained. The dataset was collected under Institutional Review Board (IRB) approval.
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+
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+ ### Splits
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+
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+ | Split | Samples | Percentage |
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+ |-------|---------|------------|
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+ | Train | 4,320 | 80% |
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+ | Val | 540 | 10% |
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+ | Test | 540 | 10% |
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+ | **Total** | **5,400** | 100% |
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+
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+ ### Fields
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+
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+ | Field | Description |
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+ |-------|-------------|
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+ | `image` | PA-view chest X-ray image |
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+ | `findings` | Detailed descriptive narrative of anatomical/pathological observations (Vietnamese) |
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+ | `impressions` | Clinical diagnostic conclusions (Vietnamese) |
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+ | `Ages` | Patient age in years |
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+ | `sex` | Patient gender |
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+ | `view` | Imaging perspective (PA — Posterior Anterior) |
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+ | `Ghi chú` | Procedure description (Vietnamese) |
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+ | `Kỹ thuật` | Technical details of the radiograph |
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+
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+ ### Report Text Length (tokens)
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+
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+ | Split | Findings (avg) | Impressions (avg) |
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+ |-------|---------------|-------------------|
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+ | Train | 46 | 12 |
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+ | Val | 45 | 14 |
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+ | Test | 46 | 13 |
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+
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+ Average patient age: ~69–70 years across all splits.
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+
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+ ---
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+
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+ ## Common Findings
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+
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+ **Most frequently mentioned anatomical structures**: Heart (tim), Lungs (phổi), Ribs (xương sườn), Diaphragm (vòm hoành), Pulmonary hilum (rốn phổi)
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+
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+ **Most common diagnoses**: Interstitial lung disease, Cardiomegaly, Pulmonary infiltrates/consolidations, Rib fractures, Aortic calcifications
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+
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+ ---
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+
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+ ## Intended Use
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+
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+ - Training and fine-tuning vision-language models for Vietnamese medical image analysis
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+ - Benchmarking multilingual and Vietnamese-specific VLMs
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+ - Research on hallucination reduction in clinical AI
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+ - Multi-turn clinical diagnostic conversation modeling
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+
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+ ---
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+
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+ ## Benchmark Results
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+
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+ Five open-source VLMs were fine-tuned and evaluated on three stages: findings generation → impression generation → multi-turn clinical dialogue. Best performing model: **Qwen2.5-VL-7B** (ROUGE-1: 84.30% on findings, 95.20% on multi-turn impressions).
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+
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+ ---
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+
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+ ## Citation
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+
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+ If you use this dataset, please cite:
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+
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+ ```bibtex
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+ @article{nguyen2026vix,
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+ title={ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models},
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+ author={Nguyen, Duy Vu Minh and Truong, Chinh Thanh and Tran, Phuc Hoang and Le, Hung Tuan and Dat, Nguyen Van-Thanh and Pham, Trung Hieu and Van Nguyen, Kiet},
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+ journal={arXiv preprint arXiv:2603.15513},
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+ year={2026}
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+ }
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+ ```