| """Run one loader for the published sample; dependencies run in Docker.""" |
| import argparse |
|
|
|
|
| def main(): |
| parser = argparse.ArgumentParser(description=__doc__) |
| parser.add_argument('library', choices=['datasets', 'pandas', 'duckdb']) |
| parser.add_argument('--repo', required=True, help='HF dataset ID: mashu-data/repository-name') |
| args = parser.parse_args() |
| if args.library == 'datasets': |
| from datasets import load_dataset |
| comments = load_dataset(args.repo, 'comments', split='train', streaming=True) |
| print(next(iter(comments))) |
| elif args.library == 'pandas': |
| import pandas as pd |
| |
| url = f'https://huggingface.co/datasets/{args.repo}/resolve/main/data/comments/subreddit=LocalLLaMA/part-0.parquet' |
| comments = pd.read_parquet(url) |
| print(comments[['id', 'link_id', 'parent_id', 'depth']].head()) |
| else: |
| import duckdb |
| from huggingface_hub import hf_hub_download |
| |
| path = hf_hub_download(repo_id=args.repo, repo_type='dataset', |
| filename='data/comments/subreddit=LocalLLaMA/part-0.parquet') |
| conn = duckdb.connect() |
| rows = conn.execute('SELECT id, link_id, parent_id, depth FROM read_parquet(?, hive_partitioning=false) LIMIT 20', [path]).fetchall() |
| print(rows) |
|
|
|
|
| if __name__ == '__main__': |
| main() |
|
|
