import logging

import datasets


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


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