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import os
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')}))
def extract_all(self, dir):
zip_files = glob(dir+'/**/**.zip', recursive=True)
for file in zip_files:
with zipfile.ZipFile(file) as item:
item.extractall('/'.join(file.split('/')[:-1]))
def get_all_files(self, dir):
files = []
valid_file_ext = ['txt', 'csv', 'tsv', 'xlsx', 'xls', 'xml', 'json', 'jsonl', 'html', 'wav', 'mp3']
for ext in valid_file_ext:
files += glob(f"{dir}/**/**.{ext}", recursive = True)
return files
def _split_generators(self, dl_manager):
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} })]
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 = self.read_xml(filepath, ['name', 'age', 'gender'])
if len(df.columns) != 3:
continue
df.columns = ['Name', 'Age', 'Gender']
for _, record in df.iterrows():
yield str(_id), {'Name':record['Name'],'Age':record['Age'],'Gender':record['Gender']}
_id += 1
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