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Text · dataset · 2026

deepswe-mini

Listed in Hugging Face Datasets

deepswe-mini 16 of the 113 tasks in DeepSWE v1.1, picked so that running just these ranks models the same way the full benchmark does.

Description

DeepSWE is a good benchmark and an expensive one. Every task is a long-horizon feature request in its own container, and a full pass takes close to two days of agent time run one task at a time.

If you are comparing models, agent harnesses or prompts, and the differences you care about are more than a few points, these 16 tasks give you the same… See the full description on the dataset page: huggingface.co/datasets/LocalLLaMA/deepswe-mini.

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Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsLocalLLaMA/deepswe-mini15 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
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