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| def upload_to_hf_dataset(file_path, dataset_name, token, repo_type="dataset"): | |
| """ | |
| Upload a file to a Hugging Face dataset repository. | |
| Args: | |
| file_path (str): Path to the file to upload | |
| dataset_name (str): Name of the dataset in format 'username/dataset-name' | |
| token (str): Hugging Face API token | |
| repo_type (str): Repository type, defaults to 'dataset' | |
| """ | |
| from huggingface_hub import HfApi | |
| import os | |
| # Initialize the Hugging Face API client | |
| api = HfApi() | |
| try: | |
| # Upload the file to the dataset repository | |
| api.upload_file( | |
| path_or_fileobj=file_path, | |
| path_in_repo=os.path.basename(file_path), # Use filename as path in repo | |
| repo_id=dataset_name, | |
| repo_type=repo_type, | |
| token=token, | |
| commit_message=f"Upload {os.path.basename(file_path)}", | |
| commit_description=f"Automated upload of {os.path.basename(file_path)} to dataset" | |
| ) | |
| print(f"Successfully uploaded {file_path} to {dataset_name}") | |
| except Exception as e: | |
| print(f"Error uploading file: {str(e)}") | |
| def download_from_hf_dataset(file_path, dataset_name, token, repo_type="dataset"): | |
| """ | |
| Download a file from a Hugging Face dataset repository. | |
| Args: | |
| file_path (str): Path in the repository to download from | |
| dataset_name (str): Name of the dataset in format 'username/dataset-name' | |
| token (str): Hugging Face API token | |
| repo_type (str): Repository type, defaults to 'dataset' | |
| """ | |
| from huggingface_hub import HfApi | |
| import os | |
| # Initialize the Hugging Face API client | |
| api = HfApi() | |
| try: | |
| # Download the file from the dataset repository | |
| api.hf_hub_download( | |
| repo_id=dataset_name, | |
| filename=file_path, | |
| repo_type=repo_type, | |
| local_dir=".", | |
| token=token | |
| ) | |
| print(f"Successfully downloaded {file_path} from {dataset_name}") | |
| except Exception as e: | |
| print(f"Error downloading file: {str(e)}") |