Write function to serve as a benchmark for inversions

[YagoMCastro]

Implement a Python function that can serve as a benchmark for evaluating inversion methods. This function should generate synthetic data with known parameters (e.g., dipole moments, positions, noise levels) and return both the data and ground truth for comparison. Include options to vary complexity (e.g., number of sources, noise level) and document the expected output format.