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Table · dataset · 2026

Active-SWE

Listed in Hugging Face Datasets

Active-SWE Paper |

Description

Project

Page | HF Space | Code | Dataset | Docker Images Active-SWE is a proactive bug-fixing benchmark for evaluating whether a coding model can find and repair functional bugs from a set of files selected for review. It is designed for local Docker-based evaluation and is different from issue-based benchmarks that provide a complete issue description as the main input. The benchmark evaluates two kinds of instances: simple: an instance… See the full description on the dataset page: huggingface.co/datasets/XLearning-SCU/Active-SWE.

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Where it is published

Documentation and papers

Catalogue records · 1

Topics

Stated by source
other · text
Inferred from text
Image 65%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsXLearning-SCU/Active-SWE14 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:imageenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (65%)
concepts[task].hf_task:othersource · 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
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0