Cast image_feature['report'] to str

CXR_Reports.py

@@ -1,4 +1,5 @@
 import tensorflow as tf
+import numpy as np
 import datasets
 
 
@@ -50,6 +51,9 @@ class ReportsCXR(datasets.GeneratorBasedBuilder):
       print(f"image type {type(image_features['image'])}")
       print(f"report type {type(image_features['report'])}")
       image_raw = image_features['image'].numpy()
-      print("image_raw completed")
-      yield {'image': {"path":"", "bytes": image_raw}, 'report': image_features['report']}
+      print(f"image_raw type {type(image_raw)}")
+      str_report = np.array2string(image_features['report'].numpy())
+      print(f"str_report type {type(str_report)}")
+      yield {'image': {"path":"", "bytes": image_raw}, 'report': str_report}
+