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NewDataset.py

@@ -6,7 +6,7 @@ import zipfile
 
 class NewDataset(datasets.GeneratorBasedBuilder):
 	def _info(self):
-		return datasets.DatasetInfo(features=datasets.Features({'name':datasets.Value('string'),'age':datasets.Value('string'),'gender':datasets.Value('string')}))
+		return datasets.DatasetInfo(features=datasets.Features({'name':datasets.Value('string'),'age':datasets.Value('string'),'label': datasets.features.ClassLabel(names=['male', 'female'])}))
 
 	def extract_all(self, dir):
 		zip_files = glob(dir+'/**/**.zip', recursive=True)
@@ -23,8 +23,8 @@ class NewDataset(datasets.GeneratorBasedBuilder):
 		return files
 
 	def _split_generators(self, dl_manager):
-		url = ['https://raw.githubusercontent.com/ARBML/dar/main/dummy/data.csv']
-		downloaded_files = dl_manager.download(url)
+		url = [os.path.abspath(os.path.expanduser(dl_manager.manual_dir))]
+		downloaded_files = url
 		return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={'filepaths': {'inputs':downloaded_files} })]
 
 
@@ -36,6 +36,6 @@ class NewDataset(datasets.GeneratorBasedBuilder):
 				continue
 			df.columns = ['name', 'age', 'gender']
 			for _, record in df.iterrows():
-				yield str(_id), {'name':record['name'],'age':record['age'],'gender':record['gender']}
+				yield str(_id), {'name':record['name'],'age':record['age'],'label':str(record['gender'])}
 				_id += 1