Create README.md

README.md

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+---
+language:
+- en
+size_categories:
+- 1K<n<10K
+---
+This dataset came from Kaggle and was contributed by Paul Mooney.
+https://www.kaggle.com/datasets/paultimothymooney/medical-speech-transcription-and-intent/data
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+Context
+8.5 hours of audio utterances paired with text for common medical symptoms.
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+Content
+This data contains thousands of audio utterances for common medical symptoms like “knee pain” or “headache,” totaling more than 8 hours in aggregate. Each utterance was created by individual human contributors based on a given symptom. These audio snippets can be used to train conversational agents in the medical field.
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+This Figure Eight dataset was created via a multi-job workflow. The first involved contributors writing text phrases to describe symptoms given. For example, for “headache,” a contributor might write “I need help with my migraines.” Subsequent jobs captured audio utterances for accepted text strings.
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+Note that some of the labels are incorrect and some of the audio files have poor quality. I would recommend cleaning the dataset before training any machine learning models.
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+This dataset contains both the audio utterances and corresponding transcriptions.
+
+Acknowledgements
+This dataset was developed by figure-eight and can be downloaded from https://www.figure-eight.com/dataset/audio-recording-and-transcription-for-medical-scenarios/ along with instructions on how to make similar datasets using the figure-eight platform.
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+https://www.figure-eight.com/dataset/audio-recording-and-transcription-for-medical-scenarios/
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+Banner Photo by rawpixel on Unsplash