datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
github-codereview
Code Review Dataset
A large-scale dataset of the best human-written code reviews from top GitHub repositories.
Each row captures a moment where a human code reviewer left an inline comment on a pull request, and the author subsequently modified the code in response.
The dataset also includes negative examples — code from the same PRs that passed review without comments — to help models learn when code is acceptable.
This provides a natural signal for training models to:
Generate… See the full description on the dataset page: https://huggingface.co/datasets/ronantakizawa/github-codereview.code-review-bench
Code Review Bench
A paired online-offline benchmark for AI code review.
Splits
online — Stratified sample of 1,135 bot-reviewed PRs, scraped from open-source Github repositories and scored by the online benchmark (15 tools, Feb–Apr 2026).
offline — 136 expert-curated golden issues across 50 PRs (5 repositories).
Provenance
The offline golden issues extend the 50-PR benchmark originally created by Greptile (2025) and refined by Augment (2025). Our… See the full description on the dataset page: https://huggingface.co/datasets/code-review-bench/code-review-bench.gemma4-code-review-instruct
gemma4-code-review-instruct
197K code review examples — 58K with chain-of-thought <think> reasoning traces.
Built to train models that don't just flag issues, but explain their reasoning before delivering a review. Drop-in ready for SFT with any chat model.
Why This Dataset
Most code review datasets give you diff → comment. This one gives you diff → think → comment for 30% of examples — reasoning traces that show how to analyze a diff before writing the review.… See the full description on the dataset page: https://huggingface.co/datasets/liodon-ai/gemma4-code-review-instruct.code-review
CODE_REVIEW
A preference dataset for CODE_REVIEW, harvested from real, human-labelled sources and curated by an automated harvesting harness with an LLM quality gate.
Format
Standard preference / DPO schema — each row:
column
meaning
prompt
the request (originally code)
chosen
the human-preferred response
rejected
a worse response to the same prompt
source
the dataset/URL the row was harvested from
Splits
80/10/10 train /… See the full description on the dataset page: https://huggingface.co/datasets/316usman/code-review.codereview-bench
CodeReview-Bench
A benchmark for evaluating models on two code review tasks, curated from ronantakizawa/github-codereview.
Tasks
1. Code Editing
Given code and a reviewer comment, apply the requested change.
Input: before_code, reviewer_comment, language, diff_context
Target: after_code
from datasets import load_dataset
ds = load_dataset("ronantakizawa/codereview-bench", "code-editing")
example = ds["test"][0]
prompt = f"""Apply the following review comment… See the full description on the dataset page: https://huggingface.co/datasets/ronantakizawa/codereview-bench.gordon-ramsay-code-review-v2
Gordon Ramsay Code Review & Auditor Corpus v2 (dcmutlu/gordon-ramsay-code-review-v2)
A high-density synthetic dataset of 10,000 multi-turn code review pairs designed to fine-tune open-weight reasoners (specifically Qwen2.5-Coder-7B-Instruct) into Chef Gordon Ramsay: Sovereign Executive Code Auditor and Supreme Software Gastronomer.
🍳 Dataset Overview
This dataset merges rigorous computer science diagnostics (Abstract Syntax Tree inspection, concurrency lifecycle… See the full description on the dataset page: https://huggingface.co/datasets/dcmutlu/gordon-ramsay-code-review-v2.code-reviewA Scrape of the codereview stack exchange, good for high quality code
reasoning-sft-github-codereview
reasoning-sft-github-codereview
Converted version of ronantakizawa/github-codereview, filtered to 76,689 high-quality rows (quality_score >= 0.75, excluding none comment type).
Nothing fancy, just reformatted the columns into a standard messages format for SFT/reasoning training. No content was modified or regenerated.
Format
Each row has three columns:
input — list of dicts with role and content (system prompt + user turn containing the reviewer comment and original… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/reasoning-sft-github-codereview.code-review-qwen35
Code Review Corpus
Description
Teaches domain-specific instruction following and code generation for this expert.
Source
ronantakizawa/github-codereview - Other
code-review-bench/code-review-bench - CC-BY-4.0
Formatted for the MoE-orchestrator project
(https://github.com/michaelowusuntim6/MoE-orchestrator). Expert target:
debug_review.
Format
Each record is a JSON object with a messages field formatted for Qwen3.5's
native chat… See the full description on the dataset page: https://huggingface.co/datasets/michaelowusuntim6/code-review-qwen35.code-review-python-autotrain
Python Code Review Dataset
Filtered and formatted version of ronantakizawa/github-codereview for fine-tuning code review models.
Dataset Summary
This dataset contains Python code snippets with corresponding review comments, formatted as conversations for instruction tuning.
Splits
Split
Samples
train
~40,000
validation
~800
test
~800
Format
Each sample contains a messages column with conversation format:
{
"messages": [… See the full description on the dataset page: https://huggingface.co/datasets/PrathamKotian26/code-review-python-autotrain.code-review-dpo-3k
Code Review DPO Pairs (3K)
DPO preference pairs for training LLMs to produce specific, actionable, educational code reviews.
Dataset Description
3,000 preference pairs across 4 programming languages:
Language
Examples
Python
~64%
JavaScript
~12%
TypeScript
~12%
Go
~12%
8 review scenarios covering real-world code quality issues:
SQL injection & security vulnerabilities
XSS via innerHTML
Hardcoded credentials
Resource leaks (unclosed… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/code-review-dpo-3k.gordon-ramsay-code-review
gordon-ramsay-code-review
Autonomous synthetic pretraining dataset synthesized by JESUS Sovereign Forge.
Synthesized via JESUS Sovereign Cloud Model Forge (hf-colab-forge) for native byte-level micro-transformers (Atom GPT) and LLM fine-tuning.
Dataset Summary
Metric
Value
Total Scenarios
500
Train Samples
450
Validation Samples
50
Total Byte Tokens
819,927
Train Tokens
737,852
Val Tokens
82,075
Vocab Size
258 (UTF-8 Bytes + BOS/PAD)… See the full description on the dataset page: https://huggingface.co/datasets/dcmutlu/gordon-ramsay-code-review.code-review-findings-samples
Code Review Findings Samples
Curated synthetic examples for evaluating automated code review pipelines — especially the
AI Code Reviewer MCP stack built with
Qwen3.6-27B.
Each row contains a short code snippet, the analysis type, and a structured JSON output that
matches the review contract used by ImTamsi/qwen3.6-27b-code-reviewer.
Dataset structure
Column
Description
id
Stable sample identifier
analysis_type
review, bugs, security, performance… See the full description on the dataset page: https://huggingface.co/datasets/ImTamsi/code-review-findings-samples.lunamax-multilingual-code-review-50
LunaMax Multilingual Code Review 50
A 50-record synthetic multilingual code-review dataset generated with ChatGPT LunaMax.
Every record is a code-review task in user / assistant format. The set spans multiple languages and review scenarios, including correctness, debugging, API usage, security, and implementation behavior.
Dataset Size
Metric
Count
Final records
50
Unique records
50
Fresh GPT-5.6 Sol audit coverage
50
Accepted unchanged
48… See the full description on the dataset page: https://huggingface.co/datasets/TaskPuppyAI/lunamax-multilingual-code-review-50.Code-Review-Assistant
Dataset Card for Code Review Assistant Training Dataset
Dataset Description
Overview
This is the training split of the Code Review Assistant Dataset - a comprehensive synthetic dataset designed for fine-tuning AI models in Python code review, security analysis, and code quality assessment.
Dataset Summary
Curated by: Alen Philip
Language: English (with Python code examples)
License: cc-by-nc-4.0
Total Examples: 13,670
Purpose: Training data for code… See the full description on the dataset page: https://huggingface.co/datasets/alenphilip/Code-Review-Assistant.Code-Review-Assistant-Eval
Dataset Card for Code Review Assistant Evaluation Dataset
Dataset Description
Overview
This is the evaluation split of the Code Review Assistant Dataset - a held-out set for validating and benchmarking models trained on the training dataset. Contains diverse Python code review examples for comprehensive model evaluation.
Dataset Summary
Curated by: Alen Philip
Language: English (with Python code examples)
License: cc-by-nc-4.0
Total Examples: 1,726… See the full description on the dataset page: https://huggingface.co/datasets/alenphilip/Code-Review-Assistant-Eval.