#!/usr/bin/python3 # -*- coding: utf-8 -*- import argparse from collections import defaultdict import json import os import sys pwd = os.path.abspath(os.path.dirname(__file__)) sys.path.append(os.path.join(pwd, "../../")) from datasets import load_dataset, DownloadMode from tqdm import tqdm from language_identification import LANGUAGE_MAP from project_settings import project_path def get_args(): parser = argparse.ArgumentParser() parser.add_argument("--dataset_path", default="autshumato", type=str) parser.add_argument( "--dataset_cache_dir", default=(project_path / "hub_datasets").as_posix(), type=str ) parser.add_argument( "--output_file", default=(project_path / "data/autshumato.jsonl"), type=str ) args = parser.parse_args() return args def main(): args = get_args() name_list = [ "autshumato-en-tn", "autshumato-en-zu", "autshumato-en-ts", "autshumato-en-ts-manual", "autshumato-tn", "autshumato-ts" ] text_set = set() counter = defaultdict(int) with open(args.output_file, "w", encoding="utf-8") as f: for name in name_list: dataset_dict = load_dataset( path=args.dataset_path, name=name, cache_dir=args.dataset_cache_dir, # download_mode=DownloadMode.FORCE_REDOWNLOAD ) for k, v in dataset_dict.items(): split = k if split not in ("train", "validation", "test"): print("skip split: {}".format(split)) continue for sample in tqdm(v): translation = sample.get("translation") if translation is None: break for language, text in translation.items(): text = text.strip() if text in text_set: continue text_set.add(text) if language not in LANGUAGE_MAP.keys(): raise AssertionError("language: {}, text: {}".format(language, text)) row = { "text": text, "language": language, "data_source": "autshumato", "split": split } row = json.dumps(row, ensure_ascii=False) f.write("{}\n".format(row)) counter[split] += 1 print("counter: {}".format(counter)) return if __name__ == "__main__": main()