Datasets:
Update README.md
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by presencesw - opened
README.md
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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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---
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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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# ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models
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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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- **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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## Dataset Overview
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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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### Splits
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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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### Fields
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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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### Report Text Length (tokens)
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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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Average patient age: ~69–70 years across all splits.
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---
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## Common Findings
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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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**Most common diagnoses**: Interstitial lung disease, Cardiomegaly, Pulmonary infiltrates/consolidations, Rib fractures, Aortic calcifications
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---
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## Intended Use
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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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## Benchmark Results
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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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## Citation
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If you use this dataset, please cite:
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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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```
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