Datasets:
Imane Momayiz
commited on
Commit
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28ce7f8
0
Parent(s):
feat: darija sentences from doda
Browse files- .gitignore +4 -0
- data.csv +0 -0
- src/ingestion.py +40 -0
.gitignore
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.env
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venv/
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ongoing/
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*.ipynb
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data.csv
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src/ingestion.py
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import os
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import tqdm
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import csv
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import pandas as pd
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def get_darija_values(file):
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"""This function reads the darija column from a csv file and returns
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a generator of the values in the column.
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"""
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with open(file, 'r', encoding='utf-8') as infile:
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reader = csv.reader(infile)
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headers = next(reader)
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for i, col in enumerate(headers):
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if col=='darija':
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break
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for row in reader:
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if row[i] != "":
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yield row[i]
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def ingest(input_data_path="ongoing/", output_data_path="data.csv"):
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"""This function reads all the csv files in the input_data_path and extracts the
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darija column from each file. It then saves the darija column in a csv file.
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"""
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full_df = pd.DataFrame()
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text_list = []
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for file in tqdm.tqdm(os.listdir(input_data_path)):
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if file.endswith(".csv"):
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darija_txt = list(get_darija_values(input_data_path + file))
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text_list.extend(darija_txt)
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full_df = pd.concat([full_df, pd.DataFrame(darija_txt, columns=["darija"])])
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full_df.to_csv(output_data_path, index=False)
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print("Ingestion complete")
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if __name__ == "__main__":
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ingest("ongoing/")
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