Scenario from [Mei et al. (2021)](https://ieeexplore.ieee.org/document/9458712/) that tests the ability to impute missing entities in a data table.

entity_data_imputation

Scenario from [Mei et al. (2021)](https://ieeexplore.ieee.org/document/9458712/) that tests the ability to impute missing entities in a data table.

Quasi-exact match: Fraction of instances that the predicted output matches a correct reference up to light processing.

Scenario from [Mei et al. (2021)](https://ieeexplore.ieee.org/document/9458712/) that tests the ability to impute missing entities in a data table.

Denoised inference runtime (s): Average time to process a request to the model minus performance contention by using profiled runtimes from multiple trials of SyntheticEfficiencyScenario.

Scenario from [Mei et al. (2021)](https://ieeexplore.ieee.org/document/9458712/) that tests the ability to impute missing entities in a data table.

# eval: Number of evaluation instances.

Scenario from [Mei et al. (2021)](https://ieeexplore.ieee.org/document/9458712/) that tests the ability to impute missing entities in a data table.

# train: Number of training instances (e.g., in-context examples).

Scenario from [Mei et al. (2021)](https://ieeexplore.ieee.org/document/9458712/) that tests the ability to impute missing entities in a data table.

truncated: Fraction of instances where the prompt itself was truncated (implies that there were no in-context examples).

Scenario from [Mei et al. (2021)](https://ieeexplore.ieee.org/document/9458712/) that tests the ability to impute missing entities in a data table.

# prompt tokens: Number of tokens in the prompt.

Scenario from [Mei et al. (2021)](https://ieeexplore.ieee.org/document/9458712/) that tests the ability to impute missing entities in a data table.

# output tokens: Actual number of output tokens.

Scenario from [Mei et al. (2021)](https://ieeexplore.ieee.org/document/9458712/) that tests the ability to impute missing entities in a data table.

# trials: Number of trials, where in each trial we choose an independent, random set of training instances.

min=0.593, mean=0.735, max=0.877, sum=4.41 (6)

min=0.434, mean=0.466, max=0.508, sum=2.796 (6)

min=239.744, mean=297.311, max=374.877, sum=1783.863 (6)

min=2.308, mean=2.549, max=2.791, sum=15.295 (6)

min=0.581, mean=0.729, max=0.846, sum=4.372 (6)

min=0.325, mean=0.355, max=0.392, sum=2.131 (6)

min=2.246, mean=2.494, max=2.779, sum=14.967 (6)

min=0.616, mean=0.729, max=0.831, sum=4.376 (6)

min=0.408, mean=0.47, max=0.52, sum=2.823 (6)

min=2.277, mean=2.503, max=2.744, sum=15.017 (6)

min=0.721, mean=0.8, max=0.862, sum=4.798 (6)

min=2.262, mean=2.483, max=2.733, sum=14.897 (6)

min=0.814, mean=0.841, max=0.877, sum=5.046 (6)

min=2.262, mean=2.378, max=2.512, sum=14.269 (6)

min=0.802, mean=0.829, max=0.862, sum=4.976 (6)

min=2.262, mean=2.387, max=2.535, sum=14.319 (6)

min=0.581, mean=0.731, max=0.892, sum=4.387 (6)

min=2.292, mean=2.563, max=2.837, sum=15.381 (6)

min=0.581, mean=0.725, max=0.862, sum=4.352 (6)

min=238.116, mean=306.525, max=397.6, sum=1839.149 (6)

min=1.354, mean=1.995, max=2.651, sum=11.969 (6)

min=0.57, mean=0.722, max=0.846, sum=4.333 (6)

min=1.323, mean=1.962, max=2.651, sum=11.772 (6)

min=0.628, mean=0.758, max=0.831, sum=4.55 (6)

min=1.323, mean=1.923, max=2.581, sum=11.539 (6)

min=0.57, mean=0.733, max=0.892, sum=4.398 (6)

min=0.607, mean=0.686, max=0.753, sum=4.115 (6)

min=242.326, mean=307.878, max=392.431, sum=1847.269 (6)

min=1.769, mean=2.575, max=3.384, sum=15.447 (6)

min=0.5, mean=0.677, max=0.831, sum=4.062 (6)

min=0.29, mean=0.461, max=0.738, sum=2.765 (6)

min=200.721, mean=274.468, max=367.215, sum=1646.809 (6)

min=0, mean=0.004, max=0.012, sum=0.023 (6)

min=0.166, mean=0.167, max=0.168, sum=1.004 (6)

min=268.686, mean=339.538, max=439.723, sum=2037.227 (6)

min=0.651, mean=0.785, max=0.846, sum=4.713 (6)

min=0.465, mean=0.501, max=0.519, sum=3.005 (6)

min=246.035, mean=312.664, max=406.292, sum=1875.982 (6)

min=1.4, mean=2.101, max=2.884, sum=12.607 (6)

min=0.581, mean=0.71, max=0.831, sum=4.26 (6)

min=0.289, mean=0.308, max=0.315, sum=1.848 (6)

min=1.385, mean=2.188, max=3, sum=13.131 (6)

min=0.581, mean=0.721, max=0.862, sum=4.329 (6)

min=0.259, mean=0.265, max=0.277, sum=1.591 (6)

min=1.4, mean=2.207, max=3.012, sum=13.242 (6)

min=0.035, mean=0.47, max=0.846, sum=2.818 (6)

min=0.253, mean=0.261, max=0.272, sum=1.565 (6)

min=1.4, mean=2.139, max=3, sum=12.832 (6)

min=0.698, mean=0.803, max=0.877, sum=4.821 (6)

min=1.462, mean=2.111, max=2.849, sum=12.664 (6)

min=0.57, mean=0.72, max=0.877, sum=4.317 (6)

min=1.4, mean=2.214, max=3.012, sum=13.281 (6)

min=0.547, mean=0.696, max=0.831, sum=4.178 (6)

min=1.385, mean=2.192, max=3, sum=13.154 (6)

min=0.605, mean=0.752, max=0.862, sum=4.515 (6)

min=1.431, mean=2.184, max=2.977, sum=13.106 (6)

min=0.465, mean=0.673, max=0.862, sum=4.038 (6)

min=0.089, mean=0.152, max=0.182, sum=0.91 (6)

min=0.57, mean=0.705, max=0.846, sum=4.229 (6)

min=0.264, mean=0.305, max=0.348, sum=1.828 (6)

min=243.047, mean=314.872, max=412.031, sum=1889.232 (6)

min=0.209, mean=0.624, max=0.862, sum=3.744 (6)

min=0.227, mean=0.231, max=0.235, sum=1.385 (6)

min=0.384, mean=0.611, max=0.831, sum=3.667 (6)

min=0.221, mean=0.222, max=0.223, sum=1.33 (6)

min=272.686, mean=343.538, max=443.723, sum=2061.227 (6)

min=0.593, mean=0.722, max=0.862, sum=4.333 (6)

min=0.442, mean=0.451, max=0.464, sum=2.706 (6)

min=0.57, mean=0.718, max=0.877, sum=4.306 (6)

min=0.051, mean=0.057, max=0.064, sum=0.342 (6)

min=0.733, mean=0.811, max=0.846, sum=4.864 (6)

min=1.385, mean=2.262, max=3.209, sum=13.572 (6)

min=0.802, mean=0.826, max=0.846, sum=4.957 (6)

min=1.385, mean=2.208, max=3.058, sum=13.247 (6)

min=0.814, mean=0.836, max=0.846, sum=5.015 (6)

min=0.223, mean=0.25, max=0.274, sum=1.498 (6)

min=1.385, mean=2.21, max=3.07, sum=13.258 (6)

min=0.744, mean=0.811, max=0.877, sum=4.864 (6)

min=0.092, mean=0.1, max=0.107, sum=0.6 (6)

min=1.385, mean=2.254, max=3.128, sum=13.526 (6)

min=0.314, mean=0.599, max=0.862, sum=3.596 (6)

min=0.12, mean=0.127, max=0.133, sum=0.763 (6)

min=1.4, mean=2.473, max=3.581, sum=14.84 (6)

min=0.314, mean=0.582, max=0.846, sum=3.492 (6)

min=0.142, mean=0.148, max=0.154, sum=0.889 (6)

min=0.814, mean=0.839, max=0.862, sum=5.034 (6)

min=1.431, mean=2.218, max=3.023, sum=13.308 (6)

min=0.814, mean=0.842, max=0.862, sum=5.05 (6)

min=0.212, mean=0.236, max=0.255, sum=1.419 (6)

min=1.415, mean=2.222, max=3.023, sum=13.331 (6)

min=0.721, mean=0.791, max=0.846, sum=4.748 (6)

min=0.131, mean=0.141, max=0.151, sum=0.845 (6)

min=1.385, mean=2.237, max=3.128, sum=13.421 (6)

min=0.523, mean=0.704, max=0.862, sum=4.224 (6)

min=0.132, mean=0.137, max=0.142, sum=0.824 (6)

min=1.4, mean=2.033, max=2.756, sum=12.2 (6)

min=0.302, mean=0.597, max=0.846, sum=3.581 (6)

min=0.087, mean=0.092, max=0.096, sum=0.55 (6)

min=1.4, mean=1.96, max=2.64, sum=11.758 (6)

min=0.686, mean=0.772, max=0.846, sum=4.631 (6)

min=234.988, mean=298.348, max=381.708, sum=1790.088 (6)

min=1.677, mean=2.207, max=2.791, sum=13.24 (6)

min=0.826, mean=0.828, max=0.831, sum=1.656 (2)

min=256.047, mean=291.539, max=327.031, sum=583.077 (2)

min=0.453, mean=0.66, max=0.862, sum=3.961 (6)

min=0.613, mean=0.762, max=0.919, sum=4.573 (6)

min=304.279, mean=368.375, max=455.138, sum=2210.253 (6)

min=2.585, mean=3.457, max=4.349, sum=20.742 (6)

min=0.826, mean=0.833, max=0.846, sum=4.996 (6)

min=1.385, mean=2.205, max=3.058, sum=13.231 (6)

min=0.815, mean=0.824, max=0.837, sum=4.946 (6)

min=1.785, mean=2.334, max=2.895, sum=14.005 (6)

min=0.093, mean=0.419, max=0.754, sum=2.514 (6)

min=0.261, mean=0.378, max=0.439, sum=2.269 (6)

min=232.244, mean=287.091, max=364.938, sum=1722.548 (6)

Data imputation

entity_data_imputation_dataset:Buy

min=0.877, mean=0.877, max=0.877, sum=2.631 (3)

min=0.474, mean=0.496, max=0.508, sum=1.487 (3)

min=308.877, mean=350.877, max=374.877, sum=1052.631 (3)

min=2.308, mean=2.308, max=2.308, sum=6.923 (3)

min=0.831, mean=0.841, max=0.846, sum=2.523 (3)

min=0.368, mean=0.383, max=0.392, sum=1.15 (3)

min=2.246, mean=2.256, max=2.262, sum=6.769 (3)

min=0.831, mean=0.831, max=0.831, sum=2.492 (3)

min=0.408, mean=0.422, max=0.43, sum=1.265 (3)

min=2.277, mean=2.277, max=2.277, sum=6.831 (3)

min=0.846, mean=0.851, max=0.862, sum=2.554 (3)

min=2.262, mean=2.272, max=2.277, sum=6.815 (3)

min=0.846, mean=0.856, max=0.877, sum=2.569 (3)

min=2.262, mean=2.272, max=2.292, sum=6.815 (3)

min=0.846, mean=0.856, max=0.862, sum=2.569 (3)

min=2.262, mean=2.262, max=2.262, sum=6.785 (3)

min=0.862, mean=0.877, max=0.892, sum=2.631 (3)

min=2.292, mean=2.297, max=2.308, sum=6.892 (3)

min=0.862, mean=0.862, max=0.862, sum=2.585 (3)

min=316.6, mean=369.6, max=397.6, sum=1108.8 (3)

min=1.354, mean=1.354, max=1.354, sum=4.062 (3)

min=0.831, mean=0.836, max=0.846, sum=2.508 (3)

min=1.323, mean=1.323, max=1.323, sum=3.969 (3)

min=0.892, mean=0.892, max=0.892, sum=2.677 (3)

min=0.607, mean=0.625, max=0.634, sum=1.875 (3)

min=322.431, mean=368.764, max=392.431, sum=1106.292 (3)

min=1.769, mean=1.769, max=1.769, sum=5.308 (3)

min=0.428, mean=0.437, max=0.443, sum=1.311 (3)

min=296.215, mean=342.882, max=367.215, sum=1028.646 (3)

min=0.167, mean=0.168, max=0.168, sum=0.503 (3)

min=342.723, mean=401.39, max=439.723, sum=1204.169 (3)

min=0.846, mean=0.846, max=0.846, sum=2.538 (3)

min=0.465, mean=0.487, max=0.501, sum=1.462 (3)

min=322.292, mean=374.959, max=406.292, sum=1124.877 (3)

min=0.289, mean=0.302, max=0.31, sum=0.906 (3)

min=1.385, mean=1.385, max=1.385, sum=4.154 (3)

min=0.259, mean=0.27, max=0.277, sum=0.81 (3)

min=1.4, mean=1.41, max=1.415, sum=4.231 (3)

min=0.26, mean=0.267, max=0.272, sum=0.802 (3)

min=1.4, mean=1.405, max=1.415, sum=4.215 (3)

min=0.862, mean=0.867, max=0.877, sum=2.6 (3)

min=1.462, mean=1.462, max=1.462, sum=4.385 (3)

min=0.846, mean=0.862, max=0.877, sum=2.585 (3)

min=1.4, mean=1.415, max=1.431, sum=4.246 (3)

min=1.431, mean=1.431, max=1.431, sum=4.292 (3)

min=0.089, mean=0.121, max=0.182, sum=0.363 (3)

min=0.264, mean=0.265, max=0.266, sum=0.795 (3)

min=327.031, mean=382.364, max=412.031, sum=1147.092 (3)

min=0.831, mean=0.841, max=0.862, sum=2.523 (3)

min=0.234, mean=0.235, max=0.235, sum=0.705 (3)

min=0.222, mean=0.222, max=0.223, sum=0.667 (3)

min=346.723, mean=405.39, max=443.723, sum=1216.169 (3)

min=0.831, mean=0.851, max=0.862, sum=2.554 (3)

min=0.442, mean=0.447, max=0.451, sum=1.34 (3)

min=0.06, mean=0.062, max=0.064, sum=0.186 (3)

min=0.223, mean=0.227, max=0.229, sum=0.681 (3)

min=0.092, mean=0.093, max=0.094, sum=0.28 (3)

min=1.385, mean=1.4, max=1.415, sum=4.2 (3)

min=0.12, mean=0.121, max=0.122, sum=0.364 (3)

min=0.142, mean=0.143, max=0.143, sum=0.428 (3)

min=1.431, mean=1.436, max=1.446, sum=4.308 (3)

min=0.212, mean=0.219, max=0.222, sum=0.656 (3)

min=1.415, mean=1.436, max=1.446, sum=4.308 (3)

min=0.131, mean=0.132, max=0.132, sum=0.395 (3)

min=0.132, mean=0.133, max=0.134, sum=0.4 (3)

min=0.087, mean=0.088, max=0.089, sum=0.265 (3)

min=313.708, mean=359.041, max=381.708, sum=1077.123 (3)

min=1.677, mean=1.677, max=1.677, sum=5.031 (3)

min=0.831, mean=0.831, max=0.831, sum=0.831 (1)

min=327.031, mean=327.031, max=327.031, sum=327.031 (1)

min=0.899, mean=0.906, max=0.919, sum=2.717 (3)

min=380.138, mean=428.138, max=455.138, sum=1284.415 (3)

min=2.585, mean=2.6, max=2.615, sum=7.8 (3)

min=1.385, mean=1.395, max=1.4, sum=4.185 (3)