| import os |
| import json |
| import pandas as pd |
| from huggingface_hub import list_repo_files, hf_hub_download |
|
|
| def load_data(file_path): |
| """Load data based on file extension""" |
| ext = os.path.splitext(file_path)[1].lower() |
| if ext == '.json': |
| with open(file_path, 'r', encoding='utf-8') as f: |
| return json.load(f) |
| elif ext == '.csv': |
| return pd.read_csv(file_path) |
| elif ext == '.jsonl': |
| data = [] |
| with open(file_path, 'r', encoding='utf-8') as f: |
| for line in f: |
| data.append(json.loads(line)) |
| return data |
| elif ext == '.parquet': |
| return pd.read_parquet(file_path) |
| else: |
| raise ValueError(f"Unsupported file extension: {ext}") |
|
|
| def download_and_load_datasets(): |
| repo_id = "Antislab/LLM4PH" |
| files = list_repo_files(repo_id=repo_id, repo_type="dataset") |
| |
| downloaded_files = [] |
| for file in files: |
| if file.startswith("datasets/"): |
| local_path = os.path.join(".", file) |
| if not os.path.exists(local_path): |
| print(f"Downloading {file}...") |
| hf_hub_download( |
| repo_id=repo_id, |
| filename=file, |
| repo_type="dataset", |
| local_dir="." |
| ) |
| else: |
| print(f"File {file} already exists, skipping download.") |
| downloaded_files.append(local_path) |
| |
| |
| loaded_data = {} |
| for file_path in downloaded_files: |
| try: |
| loaded_data[file_path] = load_data(file_path) |
| print(f"Successfully loaded {file_path}") |
| except Exception as e: |
| print(f"Error loading {file_path}: {str(e)}") |
| |
| return loaded_data |
|
|
| if __name__ == "__main__": |
| data = download_and_load_datasets() |
