try csv parse

NIH-Chest-X-ray-dataset.py

@@ -3,6 +3,8 @@ import os
 import datasets
 from datasets.tasks import ImageClassification
 
+from requests import get
+
 
 _HOMEPAGE = "https://nihcc.app.box.com/v/ChestXray-NIHCC"
 
@@ -22,7 +24,7 @@ The NIH Chest X-ray dataset consists of 100,000 de-identified images of chest x-
 The data is provided by the NIH Clinical Center and is available through the NIH download site: https://nihcc.app.box.com/v/ChestXray-NIHCC
 """
 
-_URLS = [
+_IMAGE_URLS2 = [
     'https://nihcc.box.com/shared/static/vfk49d74nhbxq3nqjg0900w5nvkorp5c.gz',
     'https://nihcc.box.com/shared/static/i28rlmbvmfjbl8p2n3ril0pptcmcu9d1.gz',
     'https://nihcc.box.com/shared/static/f1t00wrtdk94satdfb9olcolqx20z2jp.gz',
@@ -37,6 +39,17 @@ _URLS = [
     'https://nihcc.box.com/shared/static/ioqwiy20ihqwyr8pf4c24eazhh281pbu.gz'
 ]
 
+_IMAGE_URLS = [
+	'https://huggingface.co/datasets/alkzar90/NIH-Chest-X-ray-dataset/resolve/main/dummy/0.0.0/images_001.tar.gz',
+	'https://huggingface.co/datasets/alkzar90/NIH-Chest-X-ray-dataset/resolve/main/dummy/0.0.0/images_002.tar.gz'
+]
+
+_URLS = {
+	'train_val_list': 'https://huggingface.co/datasets/alkzar90/NIH-Chest-X-ray-dataset/raw/main/dummy/0.0.0/train_val_list.txt',
+	'test_list': 'https://huggingface.co/datasets/alkzar90/NIH-Chest-X-ray-dataset/raw/main/dummy/0.0.0/test_list.txt',
+	'image_urls': _IMAGE_URLS
+}
+
 LABEL2IDX = {'No Finding': 0,
 	     'Atelactasis': 1,
 	     'Cardiomegaly': 2,
@@ -53,6 +66,9 @@ LABEL2IDX = {'No Finding': 0,
 	     'Pleural_Thickening': 13,
 	     'Hernia': 14}
 
+_NAMES = list(LABEL2IDX.keys())
+
+
 class XChest(datasets.GeneratorBasedBuilder):
 	"""NIH Image Chest X-ray dataset."""
 
@@ -63,7 +79,7 @@ class XChest(datasets.GeneratorBasedBuilder):
 			{
 			"image_file_path": datasets.Value("string"),
 			"image": datasets.Image(),
-			"labels": datasets.features.ClassLabel(names=list(LABEL2IDX.keys())),
+			"labels": datasets.features.ClassLabel(names=_NAMES),
 			}
 		    ),
 		    supervised_keys=("image", "labels"),
@@ -72,7 +88,17 @@ class XChest(datasets.GeneratorBasedBuilder):
 		    task_templates=[ImageClassification(image_column="image",
 							label_column="labels")],
 		)
-			
+
+
+	def _split_generators(self, dl_manager):
+		data_files = dl_manager.download_and_extract(_URLS['image_urls'])
+		train_val_list = get(_URLS['train_val_list']).iter_lines()
+		train_val_list = set([x.decode('UTF8') for x in train_val_list])
+		print(train_val_list)
+		pass
+
+	def _generate_examples(self, files):
+		pass