Add configurations

NIH-Chest-X-ray-dataset.py

@@ -89,25 +89,46 @@ _LABEL2IDX = {"No Finding": 0,
 _NAMES = list(_LABEL2IDX.keys())
 
 
-class XChest(datasets.GeneratorBasedBuilder):
+class ChestXray14Config(datasets.BuilderConfig):
+	"""allala"""
+	
+	def __init__(self, name, **kwargs):
+	    super(ChestXray14Config, self).__init__(
+		version=datasets.Version("1.0.0"),
+		name=name,
+		description="NIH ChestX-ray14",
+		**kwargs,
+	    )
+
+
+
+class ChestXray14(datasets.GeneratorBasedBuilder):
 	"""NIH Image Chest X-ray dataset."""
 
-	VERSION = datasets.Version("1.0.0")
+	#VERSION = datasets.Version("1.0.0")
+
+	BUILDER_CONFIGS = [
+		ChestXray14Config("image-classification"),
+		ChestXray14Config("object-detection"),
+	]
 
 	def _info(self):
-		return datasets.DatasetInfo(
-		    description=_DESCRIPTION,
-		    features=datasets.Features(
+		if self.config.name == "image-cllassification":
+	            features = datasets.Features(
 			{
-			"image_file_path": datasets.Value("string"),
 			"image": datasets.Image(),
 			"labels": datasets.features.Sequence(
 			   datasets.features.ClassLabel(num_classes=len(_NAMES), 
 							names=_NAMES)
 			 )
 			}
-		    ),
-		    supervised_keys=("image", "labels"),
+		    )
+		    keys = ("image", "labels")
+
+		return datasets.DatasetInfo(
+		    description=_DESCRIPTION,
+		    features=features,
+		    supervised_keys=keys,
 		    homepage=_HOMEPAGE,
 		    citation=_CITATION,
 		)
@@ -156,17 +177,18 @@ class XChest(datasets.GeneratorBasedBuilder):
 		]
 
 	def _generate_examples(self, files):
-		# Read csv with image labels
-		label_csv = read_csv(_URLS["labels"])
-		for i, path in enumerate(files):
-		    file_name = os.path.basename(path)
-		    # Get image id to filter the respective row of the csv 	
-		    image_id = file_name.split('/')[-1]
-		    image_labels = label_csv[label_csv["Image Index"] == image_id]["Finding Labels"].values[0].split("|")
-		    if file_name.endswith(".png"):
-		        yield i, {
-			    "image_file_path": path,
-			    "image": path,
-			    "labels": image_labels,
-			}
+
+		if sef.config.name == "image-classification":
+		    # Read csv with image labels
+		    label_csv = read_csv(_URLS["labels"])
+		    for i, path in enumerate(files):
+		        file_name = os.path.basename(path)
+		        # Get image id to filter the respective row of the csv 	
+		        image_id = file_name.split('/')[-1]
+		        image_labels = label_csv[label_csv["Image Index"] == image_id]["Finding Labels"].values[0].split("|")
+		        if file_name.endswith(".png"):
+		            yield i, {
+			        "image": path,
+			        "labels": image_labels,
+			    }