Datasets › CodeSyntax

CodeSyntax

Introduced by Da Shen et al. in Benchmarking Language Models for Code Syntax Understanding26 Oct 2022 archive 2025-07-28

CodeSyntax is a large-scale dataset of programs annotated with the syntactic relationships in their corresponding abstract syntax trees. It contains 18,701 code samples annotated with 1,342,050 relation edges in 43 relation types for Python, and 13,711 code samples annotated with 864,411 relation edges in 39 relation types for Java. It is designed to evaluate the performance of language models on code syntax understanding.

Source: https://paperswithcode.com/paper/benchmarking-language-models-for-code-syntax

Image Source: https://arxiv.org/pdf/2210.14473v1.pdf

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

MIT license

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • CodeSyntax

1 variant name, as the archive lists them.

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