import pandas as pd from huggingface_hub import snapshot_download def my_snapshot_download(repo_id, revision, local_dir, repo_type, max_workers): for i in range(10): try: snapshot_download(repo_id=repo_id, revision=revision, local_dir=local_dir, repo_type=repo_type, max_workers=max_workers) return except Exception: import time time.sleep(60) return def get_dataset_url(row): dataset_name = row['Benchmark'] dataset_url = row['Dataset Link'] benchmark = f'{dataset_name}' return benchmark def get_dataset_summary_table(file_path): df = pd.read_csv(file_path) df['Benchmark'] = df.apply(lambda x: get_dataset_url(x), axis=1) df = df[['Category', 'Benchmark', 'Data Split', 'Data Size', 'Language']] return df