CSRRG IFT: Chest X-Ray Instruction-Following Dataset

Approximately 1.6 million instruction-following examples for chest X-ray report generation, organized across 5 subsets. The dataset is designed for visual instruction tuning and building large multimodal models capable of generating structured radiology reports. It was authored by 'erjui' and last updated on Hugging Face on 2025-10-28.

Use Cases

• Fine-tuning vision-language models for structured radiology report generation based on chest X-rays.
• Training models for visual instruction following in the medical domain.
• Benchmarking multimodal AI systems on medical image-to-text tasks.

Strengths

• Contains approximately 1.6 million instruction-following examples.
• Specifically designed for structured radiology report generation (SRRG).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.

Provenance

Source

huggingface

Freshness

Last updated 2025-10-28 01:51:44.