U.S. Medical Call Center Conversations Between Agents and Patients

A collection of audio recordings from U.S. healthcare call centers, featuring conversations between agents and patients. The dataset is hosted on Kaggle, but its specific size, creation date, and authorship are not detailed. The description indicates it includes health care audio data.

Use Cases

• Train automatic speech recognition (ASR) models based on medical call center audio.
• Develop intent classification systems for patient queries based on conversation transcripts.
• Analyze dialogue structure and flow in patient-agent interactions mentioned in the description.
• Build models for emotion or sentiment detection in healthcare conversations.

Strengths

• Focuses on a specific, applied domain of healthcare call centers.
• Contains real-world conversational audio, which can be a scarce resource.

Limitations

• Row count and total audio duration are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle

Geography

United States