Datasets:
Tasks:
Text Classification
Languages:
Spanish
Multilinguality:
monolingual
Language Creators:
found
Annotations Creators:
expert-generated
Tags:
| import hashlib | |
| import csv | |
| INPUT_OUTPUT_COUPLES = [ | |
| ("./dataset/train.tsv", "./hashed_dataset/hashed_train.tsv"), | |
| ("./dataset/valid.tsv", "./hashed_dataset/hashed_valid.tsv"), | |
| ("./dataset/test.tsv", "./hashed_dataset/hashed_test.tsv")] | |
| def main(input_file, output_file): | |
| with open(input_file) as f: | |
| r = csv.reader(f, delimiter='\t', quoting=csv.QUOTE_NONE) | |
| data=[] | |
| for line in r: | |
| data.append(line) | |
| hashes_and_labels = [] | |
| for line in data: | |
| hash_ = hashlib.sha256(f"{line[0]}{line[1]}".encode('utf-8')).hexdigest() | |
| if len(line) < 3: | |
| print(line) | |
| label = line[2] | |
| hashes_and_labels.append((hash_, label)) | |
| with open(output_file, 'w') as o: | |
| for hash_, label in hashes_and_labels: | |
| o.write(f"{hash_}\t{label}\n") | |
| if __name__ == "__main__": | |
| for input_file, output_file in INPUT_OUTPUT_COUPLES: | |
| main(input_file, output_file) | |