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Transcribed English Doctor-Patient conversations

Conversations between physicians and their patients is hard to get a hold of, especially if you are looking for data that is ethically collected and fully licensable for AI training purposes. This dataset ticks all the boxes, and covers a variety of medical specialities. Besides these transcriptions, both the original audio files as well SOAP-structured notes of the conversations are available as well.

Conversations between physicians and their patients is hard to get a hold of, especially if you are looking for data that is ethically collected and fully licensable for AI training purposes. This dataset ticks all the boxes, and covers a variety of medical specialities. Besides these transcriptions, both the original audio files as well SOAP-structured notes of the conversations are available as well.

Conversations between physicians and their patients is hard to get a hold of, especially if you are looking for data that is ethically collected and fully licensable for AI training purposes. This dataset ticks all the boxes, and covers a variety of medical specialities. Besides these transcriptions, both the original audio files as well SOAP-structured notes of the conversations are available as well.

Conversations between physicians and their patients is hard to get a hold of, especially if you are looking for data that is ethically collected and fully licensable for AI training purposes. This dataset ticks all the boxes, and covers a variety of medical specialities. Besides these transcriptions, both the original audio files as well SOAP-structured notes of the conversations are available as well.

Healthcare

Dataset specs

Type

Text

Region/Locale

EN,

en-US

Amount

8K

Dataset SubTypeMedical ConversationsDomainHealthcareFile Formatwav

Leverage

  • Train clinical conversational AI to understand and reason over real doctor patient interactions.

Use cases

  • Improve medical dialogue agents for summarising consultations and generating clinician style follow up notes.

  • Fine tune triage models to extract symptoms, conditions, and next steps from natural patient language.

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Dataset specs

Type

Text

Region/Locale

EN,

en-US

Amount

8K

Dataset SubTypeMedical ConversationsDomainHealthcareFile Formatwav

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