fetch_utils.py

import datasets
import logging

def check_dataset_and_get_config(dataset_id):
    try:
        configs = datasets.get_dataset_config_names(dataset_id)
        return configs
    except Exception:
        # Dataset may not exist
        return None

def check_dataset_and_get_split(dataset_id, dataset_config):
    try:
        ds = datasets.load_dataset(dataset_id, dataset_config)
    except Exception as e:
        # Dataset may not exist
        logging.warning(f"Failed to load dataset {dataset_id} with config {dataset_config}: {e}")
        return None
    try:
        splits = list(ds.keys())
        return splits
    except Exception as e:
        # Dataset has no splits
        logging.warning(f"Dataset {dataset_id} with config {dataset_config} has no splits: {e}")
        return None