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@@ -14,7 +14,7 @@ This dataset thus contains 150 samples per sample type and programming language.
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  All data in this dataset are collected from 479 unique, open-source GitHub repositories with permissive licenses
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  that have >= 1000 stars, >= 5 branches, >= 10 contributors and are not a fork or archived. We collected the initial list of repositories using [SEART.](https://seart-ghs.si.usi.ch/)
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- Evaluation is to be performed by exact-match (EM) of diffs for the merge conflict setting and by LLM-as-a-Judge for the file-commit gram setting. [For further details see our paper.]()
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  # Supported Tasks
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  GitGoodBench Lite contains two types of samples: 'merge' and 'file_commit_chain'.
@@ -75,7 +75,6 @@ The following table provides per-field details. Columns marked “Yes” under *
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  | **scenario** | string | A JSON string describing specific scenario data (e.g., merge-conflict details, parent commits). | No |
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  | **sample_type** | string | The type of sample. Possible values: "merge" or "file_commit_chain." | No |
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  | **project_size** | string | Estimated size based on lines of code. Possible values: "tiny," "small," "medium," "large," or "huge." | Yes |
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- | **project_activity** | string | How recently the project was active. Possible values: "day," "week," or "month." | Yes |
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  | **difficulty** | string | The complexity level of the scenario. Possible values: "easy," "medium," or "hard." | Yes |
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  **Note**:
@@ -83,16 +82,16 @@ The following table provides per-field details. Columns marked “Yes” under *
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  - Fields marked **No** represent the primary data for the scenario. Use them to inform or categorize the scenario type and project details.
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  # Dataset statistics
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- We provide some statistics on the distribution of “difficulty” within the overall dataset and across different scenario types.
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  ## Dataset Skew
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  We note that our dataset is skewed towards the top four repositories especially, however skew flattens quickly.
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  ### Distribution Statistics
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- - Total number of repositories (count): 493
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- - Average (mean) samples per repository: 1.83
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- - Standard deviation (std): 2.82
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  - Minimum (min): 1
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  - 25th percentile (25%): 1
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  - Median (50%): 1
@@ -101,43 +100,27 @@ We note that our dataset is skewed towards the top four repositories especially,
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  ### Top-10 Repositories by Sample Count
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- | Repository | Percentage of Total Samples |
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- |-------------------------------------|----------------------------:|
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- | oss-review-toolkit/ort | 5.11% |
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- | stripe/stripe-android | 3.33% |
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- | element-hq/element-android | 2.67% |
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- | jetbrains/compose-multiplatform | 1.11% |
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- | jetbrains/ideavim | 0.89% |
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- | kotlin/dokka | 0.89% |
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- | android/nowinandroid | 0.78% |
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- | wikimedia/apps-android-wikipedia | 0.78% |
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- | coil-kt/coil | 0.78% |
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- | kotlin/kotlinx.coroutines | 0.67% |
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- ## Overall Difficulty Distribution
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-
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- | Difficulty | Proportion |
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- |------------|-----------:|
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- | easy | 0.386667 |
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- | hard | 0.347778 |
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- | medium | 0.265556 |
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-
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  ## Difficulty Distribution for "merge" Scenarios
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- | Difficulty | Proportion |
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- |------------|-----------:|
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- | easy | 0.415556 |
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- | hard | 0.346667 |
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- | medium | 0.237778 |
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-
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- ## Difficulty Distribution for "file_commit_chain" Scenarios
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-
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- | Difficulty | Proportion |
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  |------------|-----------:|
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- | easy | 0.357778 |
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- | hard | 0.348889 |
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- | medium | 0.293333 |
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  **Languages** We note that the text data in this dataset consists mostly of: commit messages, comments and is primarily in English. We do however not filter for any human languages explcitly.
 
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  All data in this dataset are collected from 479 unique, open-source GitHub repositories with permissive licenses
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  that have >= 1000 stars, >= 5 branches, >= 10 contributors and are not a fork or archived. We collected the initial list of repositories using [SEART.](https://seart-ghs.si.usi.ch/)
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+ Evaluation is to be performed by exact-match (EM) of diffs for the merge conflict setting and by LLM-as-a-Judge for the file-commit chain setting. [For further details see our paper.]()
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  # Supported Tasks
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  GitGoodBench Lite contains two types of samples: 'merge' and 'file_commit_chain'.
 
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  | **scenario** | string | A JSON string describing specific scenario data (e.g., merge-conflict details, parent commits). | No |
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  | **sample_type** | string | The type of sample. Possible values: "merge" or "file_commit_chain." | No |
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  | **project_size** | string | Estimated size based on lines of code. Possible values: "tiny," "small," "medium," "large," or "huge." | Yes |
 
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  | **difficulty** | string | The complexity level of the scenario. Possible values: "easy," "medium," or "hard." | Yes |
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  **Note**:
 
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  - Fields marked **No** represent the primary data for the scenario. Use them to inform or categorize the scenario type and project details.
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  # Dataset statistics
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+ We provide some statistics on the diversity of our dataset with respect to repositories and merge conflict resolution samples.
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  ## Dataset Skew
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  We note that our dataset is skewed towards the top four repositories especially, however skew flattens quickly.
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  ### Distribution Statistics
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+ - Total number of repositories (count): 479
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+ - Average (mean) samples per repository: 1.87
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+ - Standard deviation (std): 2.8
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  - Minimum (min): 1
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  - 25th percentile (25%): 1
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  - Median (50%): 1
 
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  ### Top-10 Repositories by Sample Count
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+ | Repository | Percentage of Total Samples |
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+ |------------------------------------------|----------------------------:|
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+ | oss-review-toolkit/ort | 5.11% |
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+ | stripe/stripe-android | 3.22% |
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+ | element-hq/element-android | 2.44% |
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+ | jetbrains/compose-multiplatform | 1.22% |
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+ | kotlin/dokka | 1.00% |
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+ | jetbrains/ideavim | 0.89% |
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+ | wikimedia/apps-android-wikipedia | 0.78% |
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+ | android/nowinandroid | 0.78% |
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+ | coil-kt/coil | 0.78% |
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+ | jetbrains/exposed | 0.78% |
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  ## Difficulty Distribution for "merge" Scenarios
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+ | Difficulty | Percentage |
 
 
 
 
 
 
 
 
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  |------------|-----------:|
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+ | easy | 41.33 |
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+ | medium | 24.44 |
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+ | hard | 34.22 |
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  **Languages** We note that the text data in this dataset consists mostly of: commit messages, comments and is primarily in English. We do however not filter for any human languages explcitly.