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gonglinyuan
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real_fim_eval

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code-generation
code-infilling
fill-in-the-middle
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  Real-FIM-Eval is a benchmark to evaluate Fill-in-the-Middle (FIM) capabilities of code LLMs in scenarios that reflect real-world code completion.
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  Real-FIM-Eval is built using data from GitHub commits between Jan. 2025 and Feb. 2025. These commits originate from 228 permissively licensed GitHub repositories with 10,000+ stars, spanning the top 12 widely-used programming languages.
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  We process git commits using `diff_match_patch` ([https://github.com/google/diff-match-patch](https://github.com/google/diff-match-patch)) to identify line-level changes. The commits are then categorized into two splits: `Add` and `Edit`.
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  ![Construction of Fill-in-the-Middle (FIM) examples for the proposed Real-FIM-Eval benchmark splits, derived from real-world git commits.](https://huggingface.co/datasets/gonglinyuan/real_fim_eval/resolve/main/example.png)
 
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  Real-FIM-Eval is a benchmark to evaluate Fill-in-the-Middle (FIM) capabilities of code LLMs in scenarios that reflect real-world code completion.
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  Real-FIM-Eval is built using data from GitHub commits between Jan. 2025 and Feb. 2025. These commits originate from 228 permissively licensed GitHub repositories with 10,000+ stars, spanning the top 12 widely-used programming languages.
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+ - Paper: https://arxiv.org/abs/2506.00204
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  We process git commits using `diff_match_patch` ([https://github.com/google/diff-match-patch](https://github.com/google/diff-match-patch)) to identify line-level changes. The commits are then categorized into two splits: `Add` and `Edit`.
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  ![Construction of Fill-in-the-Middle (FIM) examples for the proposed Real-FIM-Eval benchmark splits, derived from real-world git commits.](https://huggingface.co/datasets/gonglinyuan/real_fim_eval/resolve/main/example.png)