Dataset · Hugging Face

Suzhen/AgentReviewChat

Name: AgentReviewChat
Creator: Suzhen
License: mit
Keywords: task_categories:text-classification, task_categories:text-generation, language:en, license:mit, size_categories:100K<n<1M, format:parquet, modality:tabular, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2603.15911, region:us, code-review

AgentReviewChat: Human vs. AI Agent Code Review Conversations Dataset Paper: https://arxiv.org/abs/2603.15911 AgentReviewChat is a large-scale dataset comprising 278,790 real-world inline code review conversations from 54,330 pull requests across 300 popular open-source GitHub repositories. The dataset captures how human developers and AI agents (16 agents identified) interact during code review, enabling empirical analysis of review feedback quality, interaction dynamics, and… See the full description on the dataset page: https://huggingface.co/datasets/Suzhen/AgentReviewChat.

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Author / organization	Suzhen
License (as declared)	mit
Downloads	159 (as reported by Hugging Face)
Likes	1
Created	17 March 2026
Last updated at source	1 September 2026

code-reviewsoftware-engineeringhuman-ai-interactionagentic-aigithub

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