datacomp_large数据集下载，snapshot_download使用示例

数据集下载：https://huggingface.co/datasets/mlfoundations/datacomp_large

import os
from huggingface_hub import snapshot_download

def download_parquet_files(repo_id, output_dir):
    """
    Download .parquet files from a Hugging Face dataset repository using snapshot_download.

    Args:
    - repo_id (str): The ID of the Hugging Face dataset repository.
    - output_dir (str): Directory where the .parquet files will be saved.
    """
    if not os.path.exists(output_dir):
        os.makedirs(output_dir)

    cache_dir = os.path.join(output_dir, "cache")

    hf_snapshot_args = dict(
        repo_id=repo_id,
        allow_patterns="*.parquet",
        local_dir=output_dir,
        cache_dir=cache_dir,
        local_dir_use_symlinks=False,
        repo_type="dataset",
        resume_download=True,
        max_workers=16
    )

    snapshot_download(**hf_snapshot_args)

if __name__ == "__main__":
    REPO_ID = "mlfoundations/datacomp_large"  # Replace with your dataset repo ID
    OUTPUT_DIR = "/data/xiedong/datasets_meizu/datacomp_all/large/metadata"  # Replace with your desired output directory

    download_parquet_files(REPO_ID, OUTPUT_DIR)