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(2021)](https://ieeexplore.ieee.org/document/9458712/) that tests the ability to impute missing entities in a data table.\n\nDenoised inference runtime (s): Average time to process a request to the model minus performance contention by using profiled runtimes from multiple trials of SyntheticEfficiencyScenario.", "markdown": false, "lower_is_better": true, "metadata": { "metric": "Denoised inference time (s)", "run_group": "Data imputation" } }, { "value": "# eval", "description": "Scenario from [Mei et al. (2021)](https://ieeexplore.ieee.org/document/9458712/) that tests the ability to impute missing entities in a data table.\n\n# eval: Number of evaluation instances.", "markdown": false, "metadata": { "metric": "# eval", "run_group": "Data imputation" } }, { "value": "# train", "description": "Scenario from [Mei et al. (2021)](https://ieeexplore.ieee.org/document/9458712/) that tests the ability to impute missing entities in a data table.\n\n# train: Number of training instances (e.g., in-context examples).", "markdown": false, "metadata": { "metric": "# train", "run_group": "Data imputation" } }, { "value": "truncated", "description": "Scenario from [Mei et al. (2021)](https://ieeexplore.ieee.org/document/9458712/) that tests the ability to impute missing entities in a data table.\n\ntruncated: Fraction of instances where the prompt itself was truncated (implies that there were no in-context examples).", "markdown": false, "metadata": { "metric": "truncated", "run_group": "Data imputation" } }, { "value": "# prompt tokens", "description": "Scenario from [Mei et al. 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(2021)](https://ieeexplore.ieee.org/document/9458712/) that tests the ability to impute missing entities in a data table.\n\n# eval: Number of evaluation instances.", "markdown": false, "metadata": { "metric": "# eval", "run_group": "Data imputation" } }, { "value": "# train", "description": "Scenario from [Mei et al. (2021)](https://ieeexplore.ieee.org/document/9458712/) that tests the ability to impute missing entities in a data table.\n\n# train: Number of training instances (e.g., in-context examples).", "markdown": false, "metadata": { "metric": "# train", "run_group": "Data imputation" } }, { "value": "truncated", "description": "Scenario from [Mei et al. 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(2021)](https://ieeexplore.ieee.org/document/9458712/) that tests the ability to impute missing entities in a data table.\n\nQuasi-exact match: Fraction of instances that the predicted output matches a correct reference up to light processing.", "markdown": false, "lower_is_better": false, "metadata": { "metric": "EM", "run_group": "Data imputation" } }, { "value": "Denoised inference time (s)", "description": "Scenario from [Mei et al. (2021)](https://ieeexplore.ieee.org/document/9458712/) that tests the ability to impute missing entities in a data table.\n\nDenoised inference runtime (s): Average time to process a request to the model minus performance contention by using profiled runtimes from multiple trials of SyntheticEfficiencyScenario.", "markdown": false, "lower_is_better": true, "metadata": { "metric": "Denoised inference time (s)", "run_group": "Data imputation" } }, { "value": "# eval", "description": "Scenario from [Mei et al. 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