Datasets:

Modalities:
Text
Formats:
csv
Languages:
Arabic
Libraries:
Datasets
pandas
License:
DODa / src /ingestion.py
Imane Momayiz
feat: darija sentences from doda
28ce7f8
raw
history blame
1.23 kB
import os
import tqdm
import csv
import pandas as pd
def get_darija_values(file):
"""This function reads the darija column from a csv file and returns
a generator of the values in the column.
"""
with open(file, 'r', encoding='utf-8') as infile:
reader = csv.reader(infile)
headers = next(reader)
for i, col in enumerate(headers):
if col=='darija':
break
for row in reader:
if row[i] != "":
yield row[i]
def ingest(input_data_path="ongoing/", output_data_path="data.csv"):
"""This function reads all the csv files in the input_data_path and extracts the
darija column from each file. It then saves the darija column in a csv file.
"""
full_df = pd.DataFrame()
text_list = []
for file in tqdm.tqdm(os.listdir(input_data_path)):
if file.endswith(".csv"):
darija_txt = list(get_darija_values(input_data_path + file))
text_list.extend(darija_txt)
full_df = pd.concat([full_df, pd.DataFrame(darija_txt, columns=["darija"])])
full_df.to_csv(output_data_path, index=False)
print("Ingestion complete")
if __name__ == "__main__":
ingest("ongoing/")