Datasets:

dcloud347
/

CRJudgeBenchmark

@@ -53,44 +53,6 @@ Splits are grouped by `(repo, pull_request.pull_number)`. No PR appears in more
 The original train/test split targeted 70%/30% of examples while preserving PR groups and approximately preserving each label's proportion. Validation was then drawn from 15% of the original training pool, leaving the test split unchanged. Both selections used seed 42 and a subset-sum procedure over shuffled PR groups to reach the label-count targets. The final proportions are approximately 59.55% train, 10.51% validation, and 29.94% test.
-## Data sources and construction
-The project pipeline collects GitHub PR discussions, filters unsuitable or insubstantial comments, and provides tools for human labeling. This release contains three recorded sources:
-| `source` | Description | Train | Validation | Test | Total |
-| --- | --- | ---: | ---: | ---: | ---: |
-| `crawled_swebench` | Crawled review comments retained as positive examples | 455 | 80 | 229 | 764 |
-| `human_wrong` | Genuine reviewer comments labeled incorrect | 43 | 6 | 16 | 65 |
-| `perturbation` | Modified comments retained as negative examples after manual review | 216 | 40 | 114 | 370 |
-The source names are provenance tags. In this release, every `crawled_swebench` example has label `true`, and every `human_wrong` or `perturbation` example has label `false`. **Do not expose these tags to the judge.**
-Perturbations modify a target comment's identifier, recommendation, or file location while retaining its PR context. The released perturbation types are:
-| `perturbation_kind` | Modification | Examples |
-| --- | --- | ---: |
-| `location` | Redirect the comment to another reviewed file and its code context | 152 |
-| `negation` | Reverse the polarity of a statement or recommendation | 130 |
-| `symbol` | Replace a code identifier with an incorrect identifier | 88 |
-All 370 released perturbation records match the project's manually verified negative set. Annotator agreement scores and per-example adjudication histories are not included in this release.
-## Repository coverage
-| Repository | Examples |
-| --- | ---: |
-| `ManimCommunity/manim` | 363 |
-| `pandas-dev/pandas` | 349 |
-| `OpenHands/OpenHands` | 206 |
-| `Significant-Gravitas/AutoGPT` | 165 |
-| `PostHog/posthog` | 69 |
-| `BerriAI/litellm` | 31 |
-| `Comfy-Org/ComfyUI` | 6 |
-| `crewAIInc/crewAI` | 5 |
-| `OpenBB-finance/OpenBB` | 5 |
-The repository-level `language` field records Python for 993 examples and TypeScript for 206. This is repository metadata, not a classification of every code fragment or the natural language of each comment. PR creation dates range from October 28, 2016 to June 30, 2025.
 ## Data format
 The release consists of three UTF-8 JSON Lines files: `train.jsonl`, `validation.jsonl`, and `test.jsonl`. Each line is one example.

 The original train/test split targeted 70%/30% of examples while preserving PR groups and approximately preserving each label's proportion. Validation was then drawn from 15% of the original training pool, leaving the test split unchanged. Both selections used seed 42 and a subset-sum procedure over shuffled PR groups to reach the label-count targets. The final proportions are approximately 59.55% train, 10.51% validation, and 29.94% test.
 ## Data format
 The release consists of three UTF-8 JSON Lines files: `train.jsonl`, `validation.jsonl`, and `test.jsonl`. Each line is one example.