Update README.md

README.md

@@ -29,6 +29,19 @@ dataset_info:
   download_size: 3882364624
   dataset_size: 3905195104
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-# Dataset Card for "medical_recording_dataset"
+**Data Source**
+[Kaggle Medical Speech, Transcription, and Intent](https://www.kaggle.com/datasets/paultimothymooney/medical-speech-transcription-and-intent "Visit Original Dataset Page on Kaggle")
+**Context**
+8.5 hours of audio utterances paired with text for common medical symptoms.
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+**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.
+
+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.
+
+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.
+
+This dataset contains both the audio utterances and corresponding transcriptions.
+
+**What's new**
+The data is resample to 16K and splited into train & test.