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@@ -94,7 +94,7 @@ dataset = load_dataset('CodeEff/ECCO', 'generate') # For nl-instructed generatio
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  These are used to generate code by each model across the 2 paradigms. We use the `test` split for the evaluation/results and the `train` and `val` splits for finetuning and few-shot prompting.
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  ### Evaluation dataset
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- The dataset also consists of an additional 3rd subset `generate_eval` which consists of the spectrum of user solutions for each problem in the `test` split.
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  This is used for the percentile evaluation of the **NL-instructed generation** paradigm.
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  ### Data Sources
 
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  These are used to generate code by each model across the 2 paradigms. We use the `test` split for the evaluation/results and the `train` and `val` splits for finetuning and few-shot prompting.
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  ### Evaluation dataset
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+ The dataset also consists of an additional 3rd subset `generate_eval` which consists of the runtime and memory of a spectrum of user solutions for each problem in the `test` split.
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  This is used for the percentile evaluation of the **NL-instructed generation** paradigm.
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  ### Data Sources