MultiMed: Multilingual Medical Speech Recognition Dataset

MultiMed is a multilingual automatic speech recognition dataset for the medical domain, presented at ACL 2025. The dataset is hosted on Hugging Face by author leduckhai and was last updated on June 1, 2025. It is intended to serve as a foundational resource for downstream applications like speech translation and spoken language understanding.

Use Cases

• Train multilingual automatic speech recognition models based on medical domain audio.
• Benchmark speech translation systems for clinical dialogue based on the multilingual nature of the data.
• Develop spoken language understanding tools for healthcare based on transcribed medical speech.

Strengths

• Dataset is associated with a peer-reviewed conference (ACL 2025).
• Platform tags indicate coverage of multiple languages including English, Chinese, French, and German.
• Last updated on 2025-06-01, suggesting recent maintenance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and total dataset size are unknown, which may limit suitability assessment.
• The full description is truncated, requiring a visit to the dataset page for complete details.

Provenance

Source

Hugging Face (leduckhai/MultiMed)

Freshness

Last updated 2025-06-01 07:41:50.

Geography

Platform tags suggest a US region, but specific spatial coverage is unknown.