DocTalkBN: A Novel Dataset of Expert Telemedicine Conversations in Bengali
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Merged summary
TL;DR - DocTalkBN is a large-scale multimodal dataset of authentic Bengali telemedicine conversations designed to support reliable medical conversational AI in a low-resource language. It provides clinically grounded data and benchmarks for triage, advice safety, and medical entity recognition.
- Contains 557.63 hours of paired audio and text from 1,515 multi-turn patient calls and 10,274 host–doctor exchanges.
- Covers 26 medical specialties and totals 1.7 million tokens from nationally broadcast consultations with board-certified physicians.
- Preserves spontaneous spoken interactions rather than relying on medical forums, written content, or synthetic conversations.
- Includes benchmark tasks for medical triage classification, advice safety evaluation, and medical named entity recognition, evaluated with multiple LLM and encoder-based baselines.
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DocTalkBN: A Novel Dataset of Expert Telemedicine Conversations in Bengali
Public signals
N/A
TL;DR - DocTalkBN is a large-scale multimodal dataset of authentic Bengali telemedicine conversations designed to support reliable medical conversational AI in a low-resource language. It provides clinically grounded data and benchmarks for triage, advice safety, and medical entity recognition.
- Contains 557.63 hours of paired audio and text from 1,515 multi-turn patient calls and 10,274 host–doctor exchanges.
- Covers 26 medical specialties and totals 1.7 million tokens from nationally broadcast consultations with board-certified physicians.
- Preserves spontaneous spoken interactions rather than relying on medical forums, written content, or synthetic conversations.
- Includes benchmark tasks for medical triage classification, advice safety evaluation, and medical named entity recognition, evaluated with multiple LLM and encoder-based baselines.