Final validation of dataset

README.md

@@ -14,7 +14,7 @@ This dataset thus contains 20 samples per sample type and programming language.
 All data in this dataset are collected from 100 unique, open-source GitHub repositories with permissive licenses 
 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/)
 
-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.]()
+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.]()
 
 # Supported Tasks 
 GitGoodBench Lite contains two types of samples: 'merge' and 'file_commit_chain'.
@@ -76,7 +76,6 @@ The following table provides per-field details. Columns marked “Yes” under *
 | **scenario**             | string     |  A JSON string describing specific scenario data (e.g., merge-conflict details, parent commits).                                                                     | No               |
 | **sample_type**          | string     |  The type of sample. Possible values: "merge" or "file_commit_chain."                                                                                                | No               |
 | **project_size**         | string     |  Estimated size based on lines of code. Possible values: "tiny," "small," "medium," "large," or "huge."                                                              | Yes              |
-| **project_activity**     | string     |  How recently the project was active. Possible values: "day," "week," or "month."                                                                                    | Yes              |
 | **difficulty**           | string     |  The complexity level of the scenario. Possible values: "easy," "medium," or "hard."                                                                                 | Yes              |
 
 **Note**:  
@@ -84,43 +83,37 @@ The following table provides per-field details. Columns marked “Yes” under *
 - Fields marked **No** represent the primary data for the scenario. Use them to inform or categorize the scenario type and project details.  
 
 # Dataset statistics
-We provide some statistics on the distribution of “difficulty” within the overall dataset and across different scenario types.
+We provide some statistics on the diversity of our dataset with respect to repositories and merge conflict resolution samples.
 
 ## Dataset Skew
 
-We note that our dataset is skewed towards the top three repositories especially, however skew flattens quickly.
+We note that our dataset is skewed towards the top three repositories especially, however the skew flattens quickly.
 
 ### Distribution Statistics
-- Total number of repositories (count): 105
-- Average (mean) samples per repository: 1.14
-- Standard deviation (std): 0.67
+- Total number of repositories (count): 100
+- Average (mean) samples per repository: 1.2
+- Standard deviation (std): 0.79
 - Minimum (min): 1
 - 25th percentile (25%): 1
 - Median (50%): 1
 - 75th percentile (75%): 1
-- Maximum (max): 7
+- Maximum (max): 8
 
 ### Top-10 Repositories by Sample Count
 
 | Repository                               | Percentage of Total Samples |
 |------------------------------------------|----------------------------:|
-| oss-review-toolkit/ort                   | 5.83%                       |
+| oss-review-toolkit/ort                   | 6.67%                       |
 | stripe/stripe-android                    | 2.50%                       |
 | element-hq/element-android               | 2.50%                       |
-| tlaplus/tlaplus                          | 1.67%                       |
 | apache/hive                              | 1.67%                       |
+| coil-kt/coil                             | 1.67%                       |
 | wikimedia/apps-android-wikipedia         | 1.67%                       |
-| chrisbanes/tivi                          | 1.67%                       |
+| facebookresearch/habitat-lab             | 1.67%                       |
 | liquibase/liquibase                      | 1.67%                       |
-| spring-projects/spring-data-mongodb      | 0.83%                       |
-| mpv-android/mpv-android                  | 0.83%                       |
+| google/guava                             | 1.67%                       |
+| kotlin/kotlinx.coroutines                | 1.67%                       |
 
-## Overall Difficulty Distribution
-| Difficulty | Fraction  |
-|------------|----------|
-| easy       | 0.375000 |
-| medium     | 0.333333 |
-| hard       | 0.291667 |
 
 ## Difficulty Distribution for "merge" Scenarios
 | Difficulty | Fraction  |
@@ -129,12 +122,5 @@ We note that our dataset is skewed towards the top three repositories especially
 | hard       | 0.266667 |
 | medium     | 0.216667 |
 
-## Difficulty Distribution for "file_commit_chain" Scenarios
-| Difficulty | Fraction  |
-|------------|----------|
-| medium     | 0.450000 |
-| hard       | 0.316667 |
-| easy       | 0.233333 |
-
 
 **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.