GMAI-VL-5.5M: 5.5 Million Medical Vision-Language Question-Answering Pairs

Over 5.5 million multimodal question-answering pairs for training medical AI foundation models. The dataset was constructed by General-Medical-AI from hundreds of medical classification, segmentation, and detection datasets. It was last updated on the platform in April 2026.

Use Cases

• Train medical vision-language models based on the described multimodal question-answering pairs.
• Fine-tune models for medical image classification tasks based on the underlying datasets mentioned.
• Develop models for medical image segmentation based on the aggregated source data.
• Build models for medical object detection based on the referenced detection datasets.

Strengths

• Contains over 5.5 million instruction pairs, indicating a large scale.
• Built from hundreds of underlying medical datasets, suggesting broad coverage of medical tasks.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.
• License information is unavailable, which could restrict usage.

Provenance

Source

General-Medical-AI

Collection Method

Constructed from hundreds of medical classification, segmentation, and detection datasets.

Time Range

null

Freshness

Last updated 2026-04-13 12:09:50; freshness should be verified.

Geography

null