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)}")