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Table · dataset · 2024

princeton-nlp/SWE-bench_Lite

Listed in Hugging Face Datasets

Dataset

Description

Summary

SWE-bench Lite is subset of SWE-bench, a dataset that tests systems’ ability to solve GitHub issues automatically. The dataset collects 300 test Issue-Pull Request pairs from 11 popular Python. Evaluation is performed by unit test verification using post-PR behavior as the reference solution.

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The dataset was released as part of SWE-bench: Can Language Models Resolve Real-World GitHub Issues? Want to run inference now? This dataset only contains the… See the full description on the dataset page: huggingface.co/datasets/princeton-nlp/SWE-bench_Lite.

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Documentation and papers

Catalogue records · 1

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Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsprinceton-nlp/SWE-bench_Lite15 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
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