Merge pull request #2523 from NikhilBartwal:update_release_note6

PiperOrigin-RevId: 335584640

Author: copybara-github

tensorflow_datasets/image_classification/diabetic_retinopathy_detection.py

@@ -55,9 +55,10 @@ def __init__(self, target_pixels=None, **kwargs):
       **kwargs: keyword arguments forward to super.
     """
     super(DiabeticRetinopathyDetectionConfig, self).__init__(
-        version=tfds.core.Version(
-            "3.0.0",
-            "New split API (https://tensorflow.org/datasets/splits)"),
+        version=tfds.core.Version("3.0.0"),
+        release_notes={
+            "3.0.0": "New split API (https://tensorflow.org/datasets/splits)",
+        },
         **kwargs)
     self._target_pixels = target_pixels
 

tensorflow_datasets/image_classification/horses_or_humans.py

@@ -41,8 +41,10 @@
 class HorsesOrHumans(tfds.core.GeneratorBasedBuilder):
   """Horses or Humans dataset."""
 
-  VERSION = tfds.core.Version(
-      "3.0.0", "New split API (https://tensorflow.org/datasets/splits)")
+  VERSION = tfds.core.Version("3.0.0")
+  RELEASE_NOTES = {
+      "3.0.0": "New split API (https://tensorflow.org/datasets/splits)",
+  }
 
   def _info(self):
     return tfds.core.DatasetInfo(

tensorflow_datasets/image_classification/imagenet2012_corrupted.py

@@ -100,10 +100,11 @@ def __init__(self, *, corruption_type=None, severity=1, **kwargs):
 
 
 _VERSION = tfds.core.Version('3.1.0')
-
-# Version history:
-# 3.1.0: Implement missing corruptions. Fix crop/resize ordering, file encoding
-# 0.0.1: Initial dataset.
+_RELEASE_NOTES = {
+    '0.0.1': 'Initial dataset',
+    '3.1.0':
+    'Implement missing corruptions. Fix crop/resize ordering, file encoding',
+}
 
 
 def _make_builder_configs():
@@ -125,6 +126,7 @@ def _make_builder_configs():
           Imagenet2012CorruptedConfig(
               name=name_str,
               version=_VERSION,
+              release_notes=_RELEASE_NOTES,
               description=description_str,
               corruption_type=each_corruption,
               severity=each_severity,

tensorflow_datasets/image_classification/imagenet2012_real.py

@@ -58,7 +58,10 @@
 class Imagenet2012Real(tfds.core.GeneratorBasedBuilder):
   """ImageNet validation images with ReaL labels."""
 
-  VERSION = tfds.core.Version('1.0.0', 'Initial release.')
+  VERSION = tfds.core.Version('1.0.0')
+  RELEASE_NOTES = {
+      '1.0.0': 'Initial release',
+  }
 
   MANUAL_DOWNLOAD_INSTRUCTIONS = """\
   manual_dir should contain `ILSVRC2012_img_val.tar` file.

tensorflow_datasets/image_classification/imagenet2012_subset.py

@@ -71,8 +71,7 @@ class Imagenet2012Subset(Imagenet2012):
       tfds.core.BuilderConfig(  # pylint: disable=g-complex-comprehension
           name=subset_size,
           description='{} of total ImageNet training set.'.format(subset_size),
-          version=tfds.core.Version(
-              '5.0.0', ''),
+          version=tfds.core.Version('5.0.0'),
       ) for subset_size in SUBSET2FILES
   ]
 
@@ -151,4 +150,3 @@ def _generate_examples(self, archive, subset=None, validation_labels=None):
               'label': label,
           }
           yield image_fname, record
-