Datasets:
| # ===== GROUND TRUTH REFERENCE ===== | |
| # NOTE: This ground truth serves as a reference answer for symbolic regression tasks | |
| # This expression is NOT the original function used to generate the training data | |
| # It is provided solely for evaluation and comparison of large model outputs | |
| # DO NOT use this expression as the basis for data generation | |
| def dA_dt(t, A): | |
| alpha_s = 0.9112380846295999 | |
| alpha_q = 0.9112380846295999 | |
| beta = 0.4381050266935539 | |
| return -alpha_s * A * np.exp(-alpha_s * t) + alpha_q * A * np.log(beta * t + 1) | |