| 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'<a target="_blank" href="{dataset_url}" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">{dataset_name}</a>' | |
| 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 | |