====== Full Repository ======

^ Data type ^  File  ^
^  Binary  | {{en:binary.zip|Download full repository}} |
^  Contingency  | {{en:contingency.zip|Download full repository}} |
^  Gaussian  | {{en:gaussian.zip|Download full repository}} |


====== Binary Data Sets ======

|^Error rate ^Table Size ^ Number of Classes ^  File  ^
^  5%  ^  50x50  ^  3x3  | {{en:binary:binary_err_5_n_50_g_3.zip|Download}} |
^  5%  ^  50x50  ^  5x5  | {{en:binary:binary_err_5_n_50_g_5.zip|Download}} |
^  5%  ^  50x50  ^  10x10  | {{en:binary:binary_err_5_n_50_g_10.zip|Download}} |
^  5%  ^  100x100  ^  3x3  | {{en:binary:binary_err_5_n_100_g_3.zip|Download}} |
^  5%  ^  100x100  ^  5x5  | {{en:binary:binary_err_5_n_100_g_5.zip|Download}} |
^  5%  ^  100x100  ^  10x10  | {{en:binary:binary_err_5_n_100_g_10.zip|Download}} |
^  5%  ^  200x200  ^  3x3  | {{en:binary:binary_err_5_n_200_g_3.zip|Download}} |
^  5%  ^  200x200  ^  5x5  | {{en:binary:binary_err_5_n_200_g_5.zip|Download}} |
^  5%  ^  200x200  ^  10x10  | {{en:binary:binary_err_5_n_200_g_10.zip|Download}} |
^  5%  ^  500x500  ^  3x3  | {{en:binary:binary_err_5_n_500_g_3.zip|Download}} |
^  5%  ^  500x500  ^  5x5  | {{en:binary:binary_err_5_n_500_g_5.zip|Download}} |
^  5%  ^  500x500  ^  10x10  | {{en:binary:binary_err_5_n_500_g_10.zip|Download}} |
^  12%  ^  50x50  ^  3x3  | {{en:binary:binary_err_12_n_50_g_3.zip|Download}} |
^  12%  ^  50x50  ^  5x5  | {{en:binary:binary_err_12_n_50_g_5.zip|Download}} |
^  12%  ^  50x50  ^  10x10  | {{en:binary:binary_err_12_n_50_g_10.zip|Download}} |
^  12%  ^  100x100  ^  3x3  | {{en:binary:binary_err_12_n_100_g_3.zip|Download}} |
^  12%  ^  100x100  ^  5x5  | {{en:binary:binary_err_12_n_100_g_5.zip|Download}} |
^  12%  ^  100x100  ^  10x10  | {{en:binary:binary_err_12_n_100_g_10.zip|Download}} |
^  12%  ^  200x200  ^  3x3  | {{en:binary:binary_err_12_n_200_g_3.zip|Download}} |
^  12%  ^  200x200  ^  5x5  | {{en:binary:binary_err_12_n_200_g_5.zip|Download}} |
^  12%  ^  200x200  ^  10x10  | {{en:binary:binary_err_12_n_200_g_10.zip|Download}} |
^  12%  ^  500x500  ^  3x3  | {{en:binary:binary_err_12_n_500_g_3.zip|Download}} |
^  12%  ^  500x500  ^  5x5  | {{en:binary:binary_err_12_n_500_g_5.zip|Download}} |
^  12%  ^  500x500  ^  10x10  | {{en:binary:binary_err_12_n_500_g_10.zip|Download}} |
^  20%  ^  50x50  ^  3x3  | {{en:binary:binary_err_20_n_50_g_3.zip|Download}} |
^  20%  ^  50x50  ^  5x5  | {{en:binary:binary_err_20_n_50_g_5.zip|Download}} |
^  20%  ^  50x50  ^  10x10  | {{en:binary:binary_err_20_n_50_g_10.zip|Download}} |
^  20%  ^  100x100  ^  3x3  | {{en:binary:binary_err_20_n_100_g_3.zip|Download}} |
^  20%  ^  100x100  ^  5x5  | {{en:binary:binary_err_20_n_100_g_5.zip|Download}} |
^  20%  ^  100x100  ^  10x10  | {{en:binary:binary_err_20_n_100_g_10.zip|Download}} |
^  20%  ^  200x200  ^  3x3  | {{en:binary:binary_err_20_n_200_g_3.zip|Download}} |
^  20%  ^  200x200  ^  5x5  | {{en:binary:binary_err_20_n_200_g_5.zip|Download}} |
^  20%  ^  200x200  ^  10x10  | {{en:binary:binary_err_20_n_200_g_10.zip|Download}} |
^  20%  ^  500x500  ^  3x3  | {{en:binary:binary_err_20_n_500_g_3.zip|Download}} |
^  20%  ^  500x500  ^  5x5  | {{en:binary:binary_err_20_n_500_g_5.zip|Download}} |
^  20%  ^  500x500  ^  10x10  | {{en:binary:binary_err_20_n_500_g_10.zip|Download}} |




====== Contingency Data Sets ======

|^Error rate ^Table Size ^ Number of Classes ^  File  ^
^  5%  ^  50x50  ^  3x3  | {{en:contingency:contingency_err_5_n_50_g_3.zip|Download}} |
^  5%  ^  50x50  ^  5x5  | {{en:contingency:contingency_err_5_n_50_g_5.zip|Download}} |
^  5%  ^  50x50  ^  10x10  | {{en:contingency:contingency_err_5_n_50_g_10.zip|Download}} |
^  5%  ^  100x100  ^  3x3  | {{en:contingency:contingency_err_5_n_100_g_3.zip|Download}} |
^  5%  ^  100x100  ^  5x5  | {{en:contingency:contingency_err_5_n_100_g_5.zip|Download}} |
^  5%  ^  100x100  ^  10x10  | {{en:contingency:contingency_err_5_n_100_g_10.zip|Download}} |
^  5%  ^  200x200  ^  3x3  | {{en:contingency:contingency_err_5_n_200_g_3.zip|Download}} |
^  5%  ^  200x200  ^  5x5  | {{en:contingency:contingency_err_5_n_200_g_5.zip|Download}} |
^  5%  ^  200x200  ^  10x10  | {{en:contingency:contingency_err_5_n_200_g_10.zip|Download}} |
^  5%  ^  500x500  ^  3x3  | {{en:contingency:contingency_err_05_n_500_g_3.zip|Download}} |
^  5%  ^  500x500  ^  5x5  | {{en:contingency:contingency_err_5_n_500_g_5.zip|Download}} |
^  5%  ^  500x500  ^  10x10  | {{en:contingency:contingency_err_5_n_500_g_10.zip|Download}} |
^  12%  ^  50x50  ^  3x3  | {{en:contingency:contingency_err_12_n_50_g_3.zip|Download}} |
^  12%  ^  50x50  ^  5x5  | {{en:contingency:contingency_err_12_n_50_g_5.zip|Download}} |
^  12%  ^  50x50  ^  10x10  | {{en:contingency:contingency_err_12_n_50_g_10.zip|Download}} |
^  12%  ^  100x100  ^  3x3  | {{en:contingency:contingency_err_12_n_100_g_3.zip|Download}} |
^  12%  ^  100x100  ^  5x5  | {{en:contingency:contingency_err_12_n_100_g_5.zip|Download}} |
^  12%  ^  100x100  ^  10x10  | {{en:contingency:contingency_err_12_n_100_g_10.zip|Download}} |
^  12%  ^  200x200  ^  3x3  | {{en:contingency:contingency_err_12_n_200_g_3.zip|Download}} |
^  12%  ^  200x200  ^  5x5  | {{en:contingency:contingency_err_12_n_200_g_5.zip|Download}} |
^  12%  ^  200x200  ^  10x10  | {{en:contingency:contingency_err_12_n_200_g_10.zip|Download}} |
^  12%  ^  500x500  ^  3x3  | {{en:contingency:contingency_err_12_n_500_g_3.zip|Download}} |
^  12%  ^  500x500  ^  5x5  | {{en:contingency:contingency_err_12_n_500_g_5.zip|Download}} |
^  12%  ^  500x500  ^  10x10  | {{en:contingency:contingency_err_12_n_500_g_10.zip|Download}} |
^  20%  ^  50x50  ^  3x3  | {{en:contingency:contingency_err_20_n_50_g_3.zip|Download}} |
^  20%  ^  50x50  ^  5x5  | {{en:contingency:contingency_err_20_n_50_g_5.zip|Download}} |
^  20%  ^  50x50  ^  10x10  | {{en:contingency:contingency_err_20_n_50_g_10.zip|Download}} |
^  20%  ^  100x100  ^  3x3  | {{en:contingency:contingency_err_20_n_100_g_3.zip|Download}} |
^  20%  ^  100x100  ^  5x5  | {{en:contingency:contingency_err_20_n_100_g_5.zip|Download}} |
^  20%  ^  100x100  ^  10x10  | {{en:contingency:contingency_err_20_n_100_g_10.zip|Download}} |
^  20%  ^  200x200  ^  3x3  | {{en:contingency:contingency_err_20_n_200_g_3.zip|Download}} |
^  20%  ^  200x200  ^  5x5  | {{en:contingency:contingency_err_20_n_200_g_5.zip|Download}} |
^  20%  ^  200x200  ^  10x10  | {{en:contingency:contingency_err_20_n_200_g_10.zip|Download}} |
^  20%  ^  500x500  ^  3x3  | {{en:contingency:contingency_err_20_n_500_g_3.zip|Download}} |
^  20%  ^  500x500  ^  5x5  | {{en:contingency:contingency_err_20_n_500_g_5.zip|Download}} |
^  20%  ^  500x500  ^  10x10  | {{en:contingency:contingency_err_20_n_500_g_10.zip|Download}} |

====== Gaussian Data Sets ======

There are two types of tables, with [[en:downloads#equal_variance|equal variance]] across the table, for which least-squares reconstruction of the table would be well-motivated, and [[en:downloads#unequal_variances|unequal variances]] across blocks, for which such a strategy should be less successful. 













===== Equal Variance =====

|^Error rate ^Table Size ^ Number of Classes ^  File  ^
^  5%  ^  50x50  ^  3x3  | {{en:gaussian:var_eq_err_5_n_50_g_3.zip|Download}} |
^  5%  ^  50x50  ^  5x5  | {{en:gaussian:var_eq_err_5_n_50_g_5.zip|Download}} |
^  5%  ^  50x50  ^  10x10  | {{en:gaussian:var_eq_err_5_n_50_g_10.zip|Download}} |
^  5%  ^  100x100  ^  3x3  | {{en:gaussian:var_eq_err_5_n_100_g_3.zip|Download}} |
^  5%  ^  100x100  ^  5x5  | {{en:gaussian:var_eq_err_5_n_100_g_5.zip|Download}} |
^  5%  ^  100x100  ^  10x10  | {{en:gaussian:var_eq_err_5_n_100_g_10.zip|Download}} |
^  5%  ^  200x200  ^  3x3  | {{en:gaussian:var_eq_err_5_n_200_g_3.zip|Download}} |
^  5%  ^  200x200  ^  5x5  | {{en:gaussian:var_eq_err_5_n_200_g_5.zip|Download}} |
^  5%  ^  200x200  ^  10x10  | {{en:gaussian:var_eq_err_5_n_200_g_10.zip|Download}} |
^  5%  ^  500x500  ^  3x3  | {{en:gaussian:var_eq_err_5_n_500_g_3.zip|Download}} |
^  5%  ^  500x500  ^  5x5  | {{en:gaussian:var_eq_err_5_n_500_g_5.zip|Download}} |
^  5%  ^  500x500  ^  10x10  | {{en:gaussian:var_eq_err_5_n_500_g_10.zip|Download}} |
^  12%  ^  50x50  ^  3x3  | {{en:gaussian:var_eq_err_12_n_50_g_3.zip|Download}} |
^  12%  ^  50x50  ^  5x5  | {{en:gaussian:var_eq_err_12_n_50_g_5.zip|Download}} |
^  12%  ^  50x50  ^  10x10  | {{en:gaussian:var_eq_err_12_n_50_g_10.zip|Download}} |
^  12%  ^  100x100  ^  3x3  | {{en:gaussian:var_eq_err_12_n_100_g_3.zip|Download}} |
^  12%  ^  100x100  ^  5x5  | {{en:gaussian:var_eq_err_12_n_100_g_5.zip|Download}} |
^  12%  ^  100x100  ^  10x10  | {{en:gaussian:var_eq_err_12_n_100_g_10.zip|Download}} |
^  12%  ^  200x200  ^  3x3  | {{en:gaussian:var_eq_err_12_n_200_g_3.zip|Download}} |
^  12%  ^  200x200  ^  5x5  | {{en:gaussian:var_eq_err_12_n_200_g_5.zip|Download}} |
^  12%  ^  200x200  ^  10x10  | {{en:gaussian:var_eq_err_12_n_200_g_10.zip|Download}} |
^  12%  ^  500x500  ^  3x3  | {{en:gaussian:var_eq_err_12_n_500_g_3.zip|Download}} |
^  12%  ^  500x500  ^  5x5  | {{en:gaussian:var_eq_err_12_n_500_g_5.zip|Download}} |
^  12%  ^  500x500  ^  10x10  | {{en:gaussian:var_eq_err_12_n_500_g_10.zip|Download}} |
^  20%  ^  50x50  ^  3x3  | {{en:gaussian:var_eq_err_20_n_50_g_3.zip|Download}} |
^  20%  ^  50x50  ^  5x5  | {{en:gaussian:var_eq_err_20_n_50_g_5.zip|Download}} |
^  20%  ^  50x50  ^  10x10  | {{en:gaussian:var_eq_err_20_n_50_g_10.zip|Download}} |
^  20%  ^  100x100  ^  3x3  | {{en:gaussian:var_eq_err_20_n_100_g_3.zip|Download}} |
^  20%  ^  100x100  ^  5x5  | {{en:gaussian:var_eq_err_20_n_100_g_5.zip|Download}} |
^  20%  ^  100x100  ^  10x10  | {{en:gaussian:var_eq_err_20_n_100_g_10.zip|Download}} |
^  20%  ^  200x200  ^  3x3  | {{en:gaussian:var_eq_err_20_n_200_g_3.zip|Download}} |
^  20%  ^  200x200  ^  5x5  | {{en:gaussian:var_eq_err_20_n_200_g_5.zip|Download}} |
^  20%  ^  200x200  ^  10x10  | {{en:gaussian:var_eq_err_20_n_200_g_10.zip|Download}} |
^  20%  ^  500x500  ^  3x3  | {{en:gaussian:var_eq_err_20_n_500_g_3.zip|Download}} |
^  20%  ^  500x500  ^  5x5  | {{en:gaussian:var_eq_err_20_n_500_g_5.zip|Download}} |
^  20%  ^  500x500  ^  10x10  | {{en:gaussian:var_eq_err_20_n_500_g_10.zip|Download}} |






===== Unequal Variances =====

|^Error rate ^Table Size ^ Number of Classes  ^  File  ^
^  5%  ^  50x50  ^  3x3  | {{en:gaussian:var_dif_err_5_n_50_g_3.zip|Download}} |
^  5%  ^  50x50  ^  5x5  | {{en:gaussian:var_dif_err_5_n_50_g_5.zip|Download}} |
^  5%  ^  50x50  ^  10x10  | {{en:gaussian:var_dif_err_5_n_50_g_10.zip|Download}} |
^  5%  ^  100x100  ^  3x3  | {{en:gaussian:var_dif_err_5_n_100_g_3.zip|Download}} |
^  5%  ^  100x100  ^  5x5  | {{en:gaussian:var_dif_err_5_n_100_g_5.zip|Download}} |
^  5%  ^  100x100  ^  10x10  | {{en:gaussian:var_dif_err_5_n_100_g_10.zip|Download}} |
^  5%  ^  200x200  ^  3x3  | {{en:gaussian:var_dif_err_5_n_200_g_3.zip|Download}} |
^  5%  ^  200x200  ^  5x5  | {{en:gaussian:var_dif_err_5_n_200_g_5.zip|Download}} |
^  5%  ^  200x200  ^  10x10  | {{en:gaussian:var_dif_err_5_n_200_g_10.zip|Download}} |
^  5%  ^  500x500  ^  3x3  | {{en:gaussian:var_dif_err_5_n_500_g_3.zip|Download}} |
^  5%  ^  500x500  ^  5x5  | {{en:gaussian:var_dif_err_5_n_500_g_5.zip|Download}} |
^  5%  ^  500x500  ^  10x10  | {{en:gaussian:var_dif_err_5_n_500_g_10.zip|Download}} |
^  12%  ^  50x50  ^  3x3  | {{en:gaussian:var_dif_err_12_n_50_g_3.zip|Download}} |
^  12%  ^  50x50  ^  5x5  | {{en:gaussian:var_dif_err_12_n_50_g_5.zip|Download}} |
^  12%  ^  50x50  ^  10x10  | {{en:gaussian:var_dif_err_12_n_50_g_10.zip|Download}} |
^  12%  ^  100x100  ^  3x3  | {{en:gaussian:var_dif_err_12_n_100_g_3.zip|Download}} |
^  12%  ^  100x100  ^  5x5  | {{en:gaussian:var_dif_err_12_n_100_g_5.zip|Download}} |
^  12%  ^  100x100  ^  10x10  | {{en:gaussian:var_dif_err_12_n_100_g_10.zip|Download}} |
^  12%  ^  200x200  ^  3x3  | {{en:gaussian:var_dif_err_12_n_200_g_3.zip|Download}} |
^  12%  ^  200x200  ^  5x5  | {{en:gaussian:var_dif_err_12_n_200_g_5.zip|Download}} |
^  12%  ^  200x200  ^  10x10  | {{en:gaussian:var_dif_err_12_n_200_g_10.zip|Download}} |
^  12%  ^  500x500  ^  3x3  | {{en:gaussian:var_dif_err_12_n_500_g_3.zip|Download}} |
^  12%  ^  500x500  ^  5x5  | {{en:gaussian:var_dif_err_12_n_500_g_5.zip|Download}} |
^  12%  ^  500x500  ^  10x10  | {{en:gaussian:var_dif_err_12_n_500_g_10.zip|Download}} |
^  20%  ^  50x50  ^  3x3  | {{en:gaussian:var_dif_err_20_n_50_g_3.zip|Download}} |
^  20%  ^  50x50  ^  5x5  | {{en:gaussian:var_dif_err_20_n_50_g_5.zip|Download}} |
^  20%  ^  50x50  ^  10x10  | {{en:gaussian:var_dif_err_20_n_50_g_10.zip|Download}} |
^  20%  ^  100x100  ^  3x3  | {{en:gaussian:var_dif_err_20_n_100_g_3.zip|Download}} |
^  20%  ^  100x100  ^  5x5  | {{en:gaussian:var_dif_err_20_n_100_g_5.zip|Download}} |
^  20%  ^  100x100  ^  10x10  | {{en:gaussian:var_dif_err_20_n_100_g_10.zip|Download}} |
^  20%  ^  200x200  ^  3x3  | {{en:gaussian:var_dif_err_20_n_200_g_3.zip|Download}} |
^  20%  ^  200x200  ^  5x5  | {{en:gaussian:var_dif_err_20_n_200_g_5.zip|Download}} |
^  20%  ^  200x200  ^  10x10  | {{en:gaussian:var_dif_err_20_n_200_g_10.zip|Download}} |
^  20%  ^  500x500  ^  3x3  | {{en:gaussian:var_dif_err_20_n_500_g_3.zip|Download}} |
^  20%  ^  500x500  ^  5x5  | {{en:gaussian:var_dif_err_20_n_500_g_5.zip|Download}} |
^  20%  ^  500x500  ^  10x10  | {{en:gaussian:var_dif_err_20_n_500_g_10.zip|Download}} |