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TestDataset.py

@@ -3,10 +3,11 @@ import pandas as pd
 import datasets
 from glob import glob
 import zipfile
-
+import re
+from bs4 import BeautifulSoup
 class TestDataset(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'),'Gender':datasets.Value('string')}))
 
 	def extract_all(self, dir):
 		zip_files = glob(dir+'/**/**.zip', recursive=True)
@@ -28,14 +29,32 @@ class TestDataset(datasets.GeneratorBasedBuilder):
 		return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={'filepaths': {'inputs':downloaded_files} })]
 
 
+
+	def get_data(self, bs, column):
+		elements =  [attr[column] for attr in bs.find_all(attrs={column : re.compile(".")})]
+		if len(elements) == 0:
+			elements = [el.text for el in bs.find_all(column)]
+		return elements
+
+	def read_xml(self, path, columns):
+		with open(path, 'rb') as f:
+			data = f.read()
+    
+		bs = BeautifulSoup(data, "xml")
+		data = {}
+		for column in columns:
+			elements = self.get_data(bs, column)
+			data[column] = elements
+		return pd.DataFrame(data)
+
 	def _generate_examples(self, filepaths):
 		_id = 0
 		for i,filepath in enumerate(filepaths['inputs']):
-			df = pd.read_csv(open(filepath, 'rb'), sep = r',', skiprows = 0, error_bad_lines = False, header = 0)
+			df = self.read_xml(filepath, ['name', 'age', 'gender'])
 			if len(df.columns) != 3:
 				continue
-			df.columns = ['name', 'age', 'gender']
+			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'],'Gender':record['Gender']}
 				_id += 1