OpenMed/synthvision-validated-kimi-by-qwen

---
license: apache-2.0
task_categories:
- visual-question-answering
tags:
- medical
- synthvision
- openmed
size_categories:
- 10K<n<100K
---

# synthvision-validated-kimi-by-qwen


Kimi K2.5 annotations validated by Qwen 3.5 (93.0% pass rate)

**Records**: 55,382

## About

Cross-validated subset from the [SynthVision pipeline](https://huggingface.co/blog/OpenMed/synthvision). Qwen 3.5 reviewed all 59,539 Kimi K2.5 annotations and confirmed 55,382 as consistent with the source images (93.0% pass rate).

Validation criteria: `consistent == true` AND `confidence >= 0.7`. Records that failed validation were removed — primarily cases where the annotator hallucinated findings not visible in the image.

## Schema

```
id: str # unique record ID
image: str # relative image path
conversations: list[dict] # multi-turn ShareGPT format
report: str # clinical narrative
structured_findings: dict # finding_name → value
validation: dict # {consistent, confidence, reason}
quality_score: float # composite quality score
```

## Loading

```python
from datasets import load_dataset

ds = load_dataset("OpenMed/synthvision-validated-kimi-by-qwen")
```

## Links

- [SynthVision blog post](https://huggingface.co/blog/OpenMed/synthvision)
- [Source code](https://github.com/openmed-labs/synthvision)
- [All SynthVision artifacts](https://huggingface.co/collections/OpenMed/synthvision-69baac655b557943aa1babd3)
- [OpenMed on Hugging Face](https://huggingface.co/OpenMed)