| import os | |
| import csv | |
| import json | |
| from glob import glob | |
| import pandas as pd | |
| direction_speech = os.getenv("DIRECTION_SPEECH", "enA") | |
| direction_text = os.getenv("DIRECTION_TEXT", "jpn") | |
| df = pd.concat([ | |
| pd.read_csv(i, quoting=csv.QUOTE_NONE, encoding='utf-8', sep='\t', header=None, on_bad_lines='skip') | |
| for i in glob(f'metadata.{direction_speech}-{direction_text}.batch_*') | |
| ]) | |
| line_no = [int(i.split(" ")[-1]) for i in df[0]] | |
| text = df[1].values.tolist() | |
| os.makedirs("text_corpus", exist_ok=True) | |
| with open(f"text_corpus/text.{direction_speech}-{direction_text}.json", "w") as f: | |
| json.dump({l: t for l, t in zip(line_no, text)}, f) | |