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@@ -12,7 +12,7 @@ pretty_name: BabelCode TP3
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  size_categories:
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  - 1K<n<10K
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  ---
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- # Dataset Card for BabelCode HumanEval
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  ## Dataset Description
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@@ -21,7 +21,7 @@ size_categories:
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  ### How To Use This Dataset
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- To quickly evaluate BC-TP3 predictions, save the `qid` and `language` keys along with the postprocessed prediction code in a JSON lines file. Then follow the install instructions for [BabelCode](https://github.com/google-research/babelcode), and you can evaluate your predictions.
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  ### Dataset Summary
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@@ -31,7 +31,7 @@ authors and are used to check if an answer satisfies the constraints of the puzz
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  ### Supported Tasks and Leaderboards
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  ### Languages
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- BC-HumanEval supports:
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  * C++
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  * C#
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  * Dart
 
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  size_categories:
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  - 1K<n<10K
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  ---
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+ # Dataset Card for Translating Python Programming Puzzles (TP3)
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  ## Dataset Description
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  ### How To Use This Dataset
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+ To quickly evaluate TP3 predictions, save the `qid` and `language` keys along with the postprocessed prediction code in a JSON lines file. Then follow the install instructions for [BabelCode](https://github.com/google-research/babelcode), and you can evaluate your predictions.
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  ### Dataset Summary
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  ### Supported Tasks and Leaderboards
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  ### Languages
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+ BC-TP3 supports:
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  * C++
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  * C#
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  * Dart