| 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) |
|
|
