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import os
import pandas as pd
import datasets
from glob import glob
import zipfile
class AraSum(datasets.GeneratorBasedBuilder):
def _info(self):
return datasets.DatasetInfo(features=datasets.Features({'index':datasets.Value('string'),'summary':datasets.Value('string'),'article':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', 'jpg', 'png']
for ext in valid_file_ext:
files += glob(f"{dir}/**/**.{ext}", recursive = True)
return files
def _split_generators(self, dl_manager):
url = ['https://raw.githubusercontent.com/ppke-nlpg/AraSum/main/AbsArSumCorpus_csv_v1.zip']
downloaded_files = dl_manager.download_and_extract(url)
files = self.get_all_files(downloaded_files[0])
return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={'filepaths': {'inputs':files} })]
def _generate_examples(self, filepaths):
_id = 0
for i,filepath in enumerate(filepaths['inputs']):
df = pd.read_csv(filepath, sep = r'\t', skiprows = 0, error_bad_lines = False, header = 0, engine = 'python')
if len(df.columns) != 3:
continue
df.columns = ['index', 'summary', 'article']
for _, record in df.iterrows():
yield str(_id), {'index':record['index'],'summary':record['summary'],'article':record['article']}
_id += 1
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