Update README.md

README.md

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 [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.
+>8.5 hours of audio utterances paired with text for common medical symptoms.
 
 **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.
-
-This dataset contains both the audio utterances and corresponding transcriptions.
+>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.
+*The data is clean from all columns except for the file_path and phrase.
+*All Audios are loaded into the DatasetDict as an 1D array, float32
+*All Audios are resampled into 16K