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Text · dataset · 2026

AACR-Bench

Listed in Hugging Face Datasets

Dataset for Running AACR-Bench English | 简体中文 This is a test set designed for automated code review reflection models, primarily aiming to evaluate the extent to which a model can intercept low-quality review comments.

Description

The dataset contains 2,145 code review comments, consisting of 1,505 expert-verified correct comments and 640 incorrect comments. This data is part of the AACR-Bench project and is provided by the Alibaba Aone team.

Data Sample Each sample in the… See the full description on the dataset page: huggingface.co/datasets/Alibaba-Aone/aacr-bench.

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Stated by source
tabular · text · text generation
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsAlibaba-Aone/aacr-bench15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:text-generationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0