from pathlib import Path
import csv

def load(dataset_path: Path) -> dict:
    """
    Load a dataset from a CSV file.

    Args:
        dataset_path (Path): The path to the CSV file.

    Returns:
        dict: A dictionary containing the dataset where each key is a column name and the values are lists of column values.

    Raises:
        FileNotFoundError: If the file does not exist.
        ValueError: If the file is not in CSV format.
    """
    if not dataset_path.exists():
        raise FileNotFoundError(f"The file {dataset_path} does not exist.")

    if dataset_path.suffix.lower() != ".csv":
        raise ValueError(f"The file {dataset_path} is not a CSV file.")

    try:
        with open(dataset_path, mode='r', newline='', encoding='utf-8') as csvfile:
            reader = csv.DictReader(csvfile)
            if reader.fieldnames is None:
                raise ValueError("The CSV file does not contain headers.")

            data = {field: [] for field in reader.fieldnames}
            for row in reader:
                for field in reader.fieldnames:
                    data[field].append(row[field])
    except Exception as e:
        raise ValueError(f"An error occurred while loading the CSV file: {e}")

    return data