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To extend the scope of coding queries to more realistic settings, we proposeODEX, the first Open-Domain EXecution-based natural language (NL) to Pythoncode generation dataset. ODEX has 945 NL-Code pairs spanning 79 diverselibraries, along with 1,707 human-written test cases for execution. Our NL-Codepairs are harvested from StackOverflow forums to encourage natural andpractical coding queries. Moreover, ODEX supports four natural languages asintents, in English, Spanish, Japanese, and Russian. ODEX unveils intriguingbehavioral differences among top-performing code language models (LM). WhileCODEX achieves better overall results, CODEGEN improves effectively via scaling-- CODEGEN 6.1B performs comparably with CODEX 12B. Both models showsubstantial gaps between open and closed domains, but CODEGEN gaps tend todecrease with model size while CODEX gaps increase. We release ODEX tofacilitate research into open-domain problems for the code generationcommunity.

Execution-Based Evaluation for Open-Domain Code Generation