src/data/make_dataset.py

import yaml
from datasets import load_dataset
import pandas as pd
import os
import pprint


def make_dataset(dataset='cnn_dailymail', split='train'):
    """make dataset for summarisation"""
    if not os.path.exists('data/raw'):
        os.makedirs('data/raw')
    dataset = load_dataset(dataset, '3.0.0', split=split)
    df = pd.DataFrame()
    df['article'] = dataset['article']
    df['highlights'] = dataset['highlights']
    df.to_csv('data/raw/{}.csv'.format(split))


if __name__ == '__main__':
    with open("params.yml") as f:
        params = yaml.safe_load(f)
    pprint.pprint(params)
    make_dataset(dataset=params['data'], split='train')
    make_dataset(dataset=params['data'], split='test')
    make_dataset(dataset=params['data'], split='validation')