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  # ๐ŸŸ๏ธ Long Code Arena (Commit Message Generation)
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- This is the benchmark for Commit Message Generation task as part of
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  ๐ŸŸ๏ธ [Long Code Arena benchmark](https://huggingface.co/spaces/JetBrains-Research/long-code-arena).
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- Current version is a manually curated subset of the Python test set from the ๐Ÿค— [CommitChronicle dataset](https://huggingface.co/datasets/JetBrains-Research/commit-chronicle), tailored for larger commits.
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  ## How-to
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  | `date` | Commit date. |
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  | `license` | Commit repository's license. |
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  | `message` | Commit message. |
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- | `label` | Label of current commit as a target for CMG task. |
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- | `comment` | Comment for a label for current commit (optional, might be empty). |
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- Labels are in 1-5 scale, where:
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  * 1 โ€“ strong no
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  * 2 โ€“ weak no
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  ### Git Repositories
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- This section concerns [`repos`](https://huggingface.co/datasets/JetBrains-Research/lca-cmg/tree/main/repos) directory,
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  which stores compressed Git repositories for all the commits in this benchmark. After you download and extract it, you
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  can work with each repository either via Git or via Python libraries
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  like [GitPython](https://github.com/gitpython-developers/GitPython)
 
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  # ๐ŸŸ๏ธ Long Code Arena (Commit Message Generation)
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+ This is the benchmark for the Commit message generation task as part of the
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  ๐ŸŸ๏ธ [Long Code Arena benchmark](https://huggingface.co/spaces/JetBrains-Research/long-code-arena).
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+ The current version is a manually curated subset of the Python test set from the ๐Ÿค— [CommitChronicle dataset](https://huggingface.co/datasets/JetBrains-Research/commit-chronicle), tailored for larger commits.
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  ## How-to
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  | `date` | Commit date. |
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  | `license` | Commit repository's license. |
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  | `message` | Commit message. |
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+ | `label` | Label of the current commit as a target for CMG task. |
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+ | `comment` | Comment for a label for the current commit (optional, might be empty). |
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+ Labels are in 1โ€“5 scale, where:
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  * 1 โ€“ strong no
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  * 2 โ€“ weak no
 
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  ### Git Repositories
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+ This section concerns the [`repos`](https://huggingface.co/datasets/JetBrains-Research/lca-cmg/tree/main/repos) directory,
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  which stores compressed Git repositories for all the commits in this benchmark. After you download and extract it, you
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  can work with each repository either via Git or via Python libraries
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  like [GitPython](https://github.com/gitpython-developers/GitPython)