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-instruct-critique-revision
Dataset Card for "code-review-instruct-critique-revision"
More Information needed
swebench-codereview-benchmark-v3
SWE-bench Code Review Benchmark v3
This dataset contains 7 benchmark splits for evaluating code review models on the SWE-bench task.
Dataset Summary
Total instances: 3500
Total resolved: 801 (22.9%)
Splits: 7 (3 main + 4 weak models)
Version: 3.0.0
Created: 2026-05-03
Splits
Split
Instances
Resolved
Resolve Rate
Model
glm5_500_v3
500
361
72.2%
openai/GLM-5-FP8
qwen3_coder_30b_500_v3
500
235
47.0%
Qwen/Qwen3-Coder-30B-A3B-Instruct… See the full description on the dataset page: https://huggingface.co/datasets/ruoyu001/swebench-codereview-benchmark-v3.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.code-review-instruct-critique-revision-pythongithub-codereview-dataset
Github-Codereview-Dataset
Made with ❤️ using 🦥 Unsloth Studio
github-codereview-dataset was generated with Unsloth Recipe Studio. It contains 10,000 generated records.
🚀 Quick Start
from datasets import load_dataset
# Load the main dataset
dataset = load_dataset("manishsaini1/github-codereview-dataset", "data", split="train")
df = dataset.to_pandas()
📊 Dataset Summary
📈 Records: 10,000
📋 Columns: 23
📋 Schema & Statistics… See the full description on the dataset page: https://huggingface.co/datasets/manishsaini1/github-codereview-dataset.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.stackexchange_codereviewcodereview-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.terminal_bench_2_a1_stackexchange_codereview_20260711_155918stackexchange-codereview-sandboxes_glm_4.7_traces_jupiterstackexchange-codereview-sandboxes-traces-terminus-2b2_code_fasttext_pos_codeforces_neg_codereviewstackexchange-codereview-sandboxesreasoning-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_generationcode-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.terminal_bench_2_stackexchange_codereview_sandboxes_traces_terminus_2_overwrite6d215e47terminal_bench_2_a1_stackexchange_codereview_20260406_035458dev_set_v2_a1_stackexchange_codereview_20260710_112156eval-fsr-a1-stackexchange-codereview-swe-r378-rf0710-tracesa1_code_stackexchange_codereviewcode-review-benchmarkdev_set_v2_a1_stackexchange_codereview_20260812_015005dev_set_v2_stackexchange_codereview_sandboxes_traces_terminus_2_overwrite_outpu9d91b240code-reviewsb2_calc_negative_embeddings_code_stackexchange_codereviewstackexchange-codereview-sandboxesdev_set_v2_a1_stackexchange_codereview_20260406_035110code-reviews-detox-rationale-25k