internal change

setup.py

@@ -48,7 +48,7 @@
 DOCLINES = __doc__.split('\n')
 
 REQUIRED_PKGS = [
-    'absl-py',
+    'absl-py>=1.0.0',
     # Min version of 0.5.0 as old array_record wheel are bugged on all
     # platform except 'x86_64'. See
     # https://github.com/google/array_record/issues/71
@@ -105,8 +105,8 @@
     'datasets/ogbg_molpcba/tasks.txt',
     'datasets/quickdraw/labels.txt',
     'datasets/smartwatch_gestures/labels.txt',
-    'image_classification/caltech101_labels.txt',
-    'image_classification/categories_places365.txt',
+    'datasets/caltech101/caltech101_labels.txt',
+    'datasets/places365_small/categories_places365.txt',
     'image_classification/cbis_ddsm_calc_distributions.txt',
     'image_classification/cbis_ddsm_calc_types.txt',
     'image_classification/cbis_ddsm_mass_margins.txt',
@@ -118,17 +118,17 @@
     'image_classification/i_naturalist2018/inaturalist2018_supercategories.txt',
     'image_classification/i_naturalist2021/i_naturalist2021_labels.txt',
     'image_classification/i_naturalist2021/i_naturalist2021_supercategories.txt',
-    'image_classification/imagenet_resized_labels.txt',
-    'image_classification/imagenette_labels.txt',
-    'image_classification/imagewang_labels.txt',
+    'datasets/imagenet_resized/imagenet_resized_labels.txt',
+    'datasets/imagenette/imagenette_labels.txt',
+    'datasets/imagewang/imagewang_labels.txt',
     'image_classification/inaturalist_labels.txt',
     'image_classification/inaturalist_supercategories.txt',
     'image_classification/placesfull/categories_placesfull.txt',
-    'image_classification/plantae_k_urls.txt',
-    'image_classification/sun397_labels.txt',
-    'image_classification/sun397_tfds_te.txt',
-    'image_classification/sun397_tfds_tr.txt',
-    'image_classification/sun397_tfds_va.txt',
+    'datasets/plantae_k/plantae_k_urls.txt',
+    'datasets/sun397/sun397_labels.txt',
+    'datasets/sun397/sun397_tfds_te.txt',
+    'datasets/sun397/sun397_tfds_tr.txt',
+    'datasets/sun397/sun397_tfds_va.txt',
     'object_detection/open_images_classes_all.txt',
     'object_detection/open_images_classes_boxable.txt',
     'object_detection/open_images_classes_trainable.txt',

tensorflow_datasets/datasets/caltech101/caltech101_dataset_builder.py

@@ -21,7 +21,7 @@
 from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow as tf
 import tensorflow_datasets.public_api as tfds
 
-_LABELS_FNAME = "image_classification/caltech101_labels.txt"
+_LABELS_FNAME = "datasets/caltech101/caltech101_labels.txt"
 _URL = "https://data.caltech.edu/records/mzrjq-6wc02/files/caltech-101.zip?download=1"
 _TRAIN_POINTS_PER_CLASS = 30
 

tensorflow_datasets/datasets/imagenet_resized/imagenet_resized_dataset_builder.py

@@ -24,7 +24,7 @@
 import numpy as np
 import tensorflow_datasets.public_api as tfds
 
-_LABELS_FNAME = 'image_classification/imagenet_resized_labels.txt'
+_LABELS_FNAME = 'datasets/imagenet_resized/imagenet_resized_labels.txt'
 _URL_PREFIX = 'http://www.image-net.org/data/downsample/'
 
 

tensorflow_datasets/datasets/imagenette/imagenette_dataset_builder.py

@@ -24,7 +24,7 @@
 from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow as tf
 import tensorflow_datasets.public_api as tfds
 
-_LABELS_FNAME = "image_classification/imagenette_labels.txt"
+_LABELS_FNAME = "datasets/imagenette/imagenette_labels.txt"
 _URL_PREFIX = "https://s3.amazonaws.com/fast-ai-imageclas/"
 
 

tensorflow_datasets/datasets/imagewang/imagewang_dataset_builder.py

@@ -25,7 +25,7 @@
 Imagewang contains Imagenette and Imagewoof combined.
 """
 
-_LABELS_FNAME = "image_classification/imagewang_labels.txt"
+_LABELS_FNAME = "datasets/imagewang/imagewang_labels.txt"
 _URL_PREFIX = "https://s3.amazonaws.com/fast-ai-imageclas"
 _SIZES = ["full-size", "320px", "160px"]
 

tensorflow_datasets/datasets/places365_small/places365_small_dataset_builder.py

@@ -29,7 +29,7 @@
 
 _IMAGE_SHAPE = (256, 256, 3)
 
-_LABELS_FNAME = "image_classification/categories_places365.txt"
+_LABELS_FNAME = "datasets/places365_small/categories_places365.txt"
 
 
 class Builder(tfds.core.GeneratorBasedBuilder):

tensorflow_datasets/datasets/plantae_k/plantae_k_dataset_builder.py

@@ -42,7 +42,7 @@
     ("walnut_h", "WALNUT DISEASED"),
     ("walnut-h", "WALNUT HEALTHY"),
 ]
-_URLS_FNAME = "image_classification/plantae_k_urls.txt"
+_URLS_FNAME = "datasets/plantae_k/plantae_k_urls.txt"
 _MAX_DOWNLOAD_RETRY = 10
 
 

tensorflow_datasets/datasets/sun397/sun397_dataset_builder.py

@@ -186,13 +186,13 @@ def __init__(self, tfds_split_files=None, **kwargs):
       }
       for split, filename in tfds_split_files.items():
         tfds_split_files[split] = tfds.core.tfds_path(
-            os.path.join("image_classification", filename)
+            os.path.join("datasets", "sun397", filename)
         )
     self._tfds_split_files = tfds_split_files
 
   def _info(self):
     names_file = tfds.core.tfds_path(
-        os.path.join("image_classification", "sun397_labels.txt")
+        os.path.join("datasets", "sun397", "sun397_labels.txt")
     )
     return self.dataset_info_from_configs(
         features=tfds.features.FeaturesDict({