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llm.preprocess.download

/home/runner/work/llm-pytorch/llm-pytorch/llm/preprocess/download.py

Pretraining corpus downloader.

python -m llm.preprocess.download --help

cli() 

cli(
    dataset: Literal["wikipedia", "bookcorpus"],
    output_dir: str,
    log_level: str,
    rich: bool,
) -> None

Pretraining text downloader.

Source code in llm/preprocess/download.py 
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@click.command()
@click.option(
    '-d',
    '--dataset',
    type=click.Choice(['wikipedia', 'bookscorpus'], case_sensitive=False),
    required=True,
    help='Dataset to download.',
)
@click.option(
    '-o',
    '--output-dir',
    metavar='PATH',
    required=True,
    help='Output directory.',
)
@click.option(
    '--log-level',
    default='INFO',
    type=click.Choice(
        ['DEBUG', 'INFO', 'WARNING', 'ERROR'],
        case_sensitive=False,
    ),
    help='Minimum logging level.',
)
@click.option(
    '--rich/--no-rich',
    default=False,
    help='Use rich output formatting.',
)
def cli(
    dataset: Literal['wikipedia', 'bookcorpus'],
    output_dir: str,
    log_level: str,
    rich: bool,
) -> None:
    """Pretraining text downloader."""
    init_logging(log_level, rich=rich)

    if dataset == 'wikipedia':
        download_wikipedia(output_dir)
    elif dataset == 'bookscorpus':
        download_bookscorpus(output_dir)
    else:
        raise AssertionError('Unreachable.')