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#!/usr/bin/python3
# -*- coding: utf-8 -*-
import argparse
import os
import platform
from datasets import load_dataset
from project_settings import project_path
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument("--dataset_path", default="qgyd2021/lip_service_4chan", type=str)
parser.add_argument("--dataset_name", default="moss_003_sft_data_10", type=str)
parser.add_argument("--dataset_split", default=None, type=str)
parser.add_argument(
"--dataset_cache_dir",
default=(project_path / "hub_datasets").as_posix(),
type=str
)
parser.add_argument("--dataset_streaming", default=False, type=bool)
parser.add_argument(
"--num_workers",
default=None if platform.system() == "Windows" else os.cpu_count() // 2,
type=str
)
args = parser.parse_args()
return args
def main():
args = get_args()
dataset_dict = load_dataset(
path=args.dataset_path,
name=args.dataset_name,
split=args.dataset_split,
cache_dir=args.dataset_cache_dir,
num_proc=args.num_workers if not args.dataset_streaming else None,
streaming=args.dataset_streaming,
)
print(dataset_dict)
dataset = dataset_dict["train"]
if args.dataset_streaming:
valid_dataset = dataset.take(args.valid_dataset_size)
train_dataset = dataset.skip(args.valid_dataset_size)
train_dataset = train_dataset.shuffle(buffer_size=args.shuffle_buffer_size, seed=None)
else:
dataset = dataset.train_test_split(test_size=10000, seed=None)
train_dataset = dataset["train"]
valid_dataset = dataset["test"]
print(train_dataset)
print(valid_dataset)
return
if __name__ == '__main__':
main()
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