Datasets:
| #! /usr/bin/env python3 | |
| ''' | |
| This script will download the dataset xezpeleta/ccmatrix_eng_eus_filtered from Hugging Face | |
| with the following structure: | |
| { | |
| 'id': 0, 'score': 1.2498578, 'translation': | |
| { | |
| 'en': "He stands to God's word, and God's worship.", | |
| 'eu': 'Jaungoikoa goratzera bideratuta egongo da eta Jaungoikoa bere borondatea betez goratzen da.' | |
| } | |
| } | |
| Then will create the following txt files: | |
| - ccmatrix_filtered.en-eu.en | |
| - ccmatrix_filtered.en-eu.eu | |
| ''' | |
| from datasets import load_dataset | |
| def main(): | |
| dataset = load_dataset('xezpeleta/ccmatrix_eng_eus_filtered') | |
| # Create the txt files | |
| with open('ccmatrix_filtered.en-eu.en', 'w') as en_file, open('ccmatrix_filtered.en-eu.eu', 'w') as eu_file: | |
| for data in dataset['train']: | |
| en_file.write(data['translation']['en'] + '\n') | |
| eu_file.write(data['translation']['eu'] + '\n') | |
| if __name__ == '__main__': | |
| main() |