Add a builder configuration: image-classification + image-segmentation

rock-glacier-dataset.py

@@ -1,3 +1,16 @@
+# Copyright 2022 Cristóbal Alcázar
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
 """Rock Glacier dataset with images of the chilean andes."""
 
 import os
@@ -22,6 +35,7 @@ _DESCRIPTION = """\
 TODO: Add a description...
 """
 
+_MASKS_URLS = ["https://huggingface.co/datasets/alkzar90/rock-glacier-dataset/resolve/main/data/glaciar_masks_trainset.zip"]
 
 _URLS = {
 	"train": "https://huggingface.co/datasets/alkzar90/rock-glacier-dataset/resolve/main/data/train.zip",
@@ -31,23 +45,45 @@ _URLS = {
 _NAMES = ["glaciar", "cordillera"]
 
 
+class RockGlacierConfig(datasets.BuilderConfig):
+	"""Rock Glacier dataset configuration"""
+	def __init__(self, name, **kwargs):
+		super(RockGlacierConfig).__init__(
+			version=datasets.Version("1.0.0"),
+			name=name,
+			description="Rock Glacier Dataset",
+			**kwargs,
+		)
+
+
 class RockGlacierDataset(datasets.GeneratorBasedBuilder):
    """Rock Glacier images dataset."""
+   
+   BUILDER_CONFIGS = [
+   		RockGlacierConfig("image-classification"),
+   		RockGlacierConfig("image-segmentation"),
+   ]
 
    def _info(self):
+   	   if self.config.name == "image-classification":
+   	   		features = dataset.Features({
+   	   			"image": datasets.Image(),
+   	   			"labels": datasets.features.ClassLabel(names=_NAMES),
+   	   		})
+   	   		keys = ("image", "labels")
+   	   		task = [ImageClassification(image_column="image", label_column="labels")]
+   	   		
+   	   if self.config.name == "image-segmentation":
+   	   		pass
+   	   		
        return datasets.DatasetInfo(
-       	   description=_DESCRIPTION,
-       	   features=datasets.Features(
-	       {
-                   "image": datasets.Image(),
-                   "labels": datasets.features.ClassLabel(names=_NAMES),
-	       }
-	   ),
-	   supervised_keys=("image", "labels"),
-	   homepage=_HOMEPAGE,
-	   citation=_CITATION,
-	   task_templates=[ImageClassification(image_column="image", label_column="labels")],
-	)
+       	   		description=_DESCRIPTION,
+       	  		features=features,
+  				supervised_keys=("image", "labels"),
+	   			homepage=_HOMEPAGE,
+	   			citation=_CITATION,
+	   			task_templates=task,
+				)
 	
 
    def _split_generators(self, dl_manager):
@@ -68,12 +104,12 @@ class RockGlacierDataset(datasets.GeneratorBasedBuilder):
        ]
 
    def _generate_examples(self, files):
-       for i, path in enumerate(files):
-           file_name = os.path.basename(path)
-           if file_name.endswith(".png"):
-               yield i, {
-                   "image": path,
-		   "labels": os.path.basename(os.path.dirname(path)).lower(),
-	       }
-
-
+   
+       if selg.config.name == "image-classification":
+           for i, path in enumerate(files):
+               file_name = os.path.basename(path)
+               if file_name.endswith(".png"):
+                   yield i, {
+                       "image": path,
+		                "labels": os.path.basename(os.path.dirname(path)).lower(),
+	                }