prepare_data.py

import json
import os
import pandas as pd
import datasets

from typing import Union


def save_and_compress(dataset: Union[datasets.Dataset, pd.DataFrame], name: str, idx=None):
    if idx:
        path = f"{name}_{idx}.jsonl"
    else:
        path = f"{name}.jsonl"

    print("Saving to", path)
    dataset.to_json(path, force_ascii=False, orient='records', lines=True)

    print("Compressing...")
    os.system(f'xz -zkf -T0 {path}')  # -TO to use multithreading


entries = []
# read json file into a python dictionary
with open('all_v1.json') as f:
    data = json.load(f)
    for _, obj in data.items():
        entries.append(obj)

save_and_compress(pd.DataFrame(entries), "data/train")