Back to datasets
Dataset assetOpen Source CommunityMachine LearningCode Review
fasterinnerlooper/codereviewer
The dataset contains three parts—generation, refinement, and quality—each with training, testing, and validation configurations, and specifies the corresponding data file paths.
Source
hugging_face
Created
Nov 28, 2025
Updated
Mar 13, 2024
Signals
134 views
Availability
Linked source ready
Overview
Dataset description and usage context
Dataset Configuration Details
Generation Task
- Training Set:
generation/gen-train.jsonl - Test Set:
generation/gen-test.jsonl - Validation Set:
generation/gen-valid.jsonl
Refinement Task
- Training Set:
refinement/ref-train.jsonl-Test Set:refinement/ref-test.jsonl-Validation Set:refinement/ref-valid.jsonl
Quality Evaluation Task
- Training Sets:
quality/cls-train-chunk-0.jsonlquality/cls-train-chunk-1.jsonlquality/cls-train-chunk-2.jsonlquality/cls-train-chunk-3.jsonl
- Test Set:
quality/cls-test.jsonl - Validation Set:
quality/cls-valid.jsonl
Need downstream help?
Pair the dataset with AI analysis and content workflows.
Once the source passes your review, move straight into summarization, transformation, report drafting, or presentation generation with the JuheAI toolchain.