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README.md

@@ -1,19 +1,27 @@
----
-dataset_info:
-  features:
-  - name: audio
-    dtype: audio
-  - name: text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 11435085983.49
-    num_examples: 25706
-  download_size: 10905317914
-  dataset_size: 11435085983.49
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
----
+
+        # Speech Simulated Medical Exams
+
+        ## Description
+        
+    This dataset contains a collection of simulated medical exams conversations between patients and doctors.
+    It includes detailed information such as emotions, intents, and roles, providing valuable insights into psychotherapy sessions.
+    
+    This dataset is appropriate for training 1-step ASR models to directly transcribe and annotate different concepts, including speaker change.
+    
+
+        ## Dataset Structure
+        - **audio**: Actual audio file content.
+        - **text**: Transcribed text with annotations such as intents, roles, emotions, and turn change.
+
+        ## Intended Use
+        This dataset is meant to train speech-based 1-step ASR systems which can perform many tasks in one shot.
+
+        ## Citation
+        If you use this dataset, please cite as follows:
+        
+        Smith, Christopher William; Fareez, Faiha; Parikh, Tishya; Wavell, Christopher; Shahab, Saba; Chevalier, Meghan; et al. (2022). A dataset of simulated patient-physician medical interviews with a focus on respiratory cases. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.5545842.v1
+        
+        https://www.nature.com/articles/s41597-022-01423-1
+        
+        
+