MedSpectrogram-Reasoning: Medical Acoustic Question-Answering Dataset

A dataset for reasoning over mel spectrograms of heart, lung, and cough sounds. Each record provides a clinical question, a mel-spectrogram image, a ground-truth answer, and clinical metadata. The dataset was created by CentificAIResearch and was last updated on June 17, 2026.

Use Cases

• Train visual question-answering models based on medical spectrogram images.
• Benchmark multimodal reasoning performance on clinical acoustic data.
• Develop models for interpreting heart, lung, and cough sound patterns based on visual spectrograms.
• Study the relationship between clinical metadata and acoustic findings.

Strengths

• Focuses on a specific multimodal task: visual reasoning over medical spectrograms.
• Includes clinical metadata for each audio recording.
• Provides ground-truth answers for supervised learning.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Freshness should be verified as the last update timestamp is in the future (2026).

Provenance

Source

CentificAIResearch

Freshness

Last updated 2026-06-17 07:17:26