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Agentic AI Atlas · scope-boundary:mle-bench.scope
scope-boundary:mle-bench.scopea5c.ai
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scope-boundary:mle-bench.scope

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scope-boundary:mle-bench.scope overview

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Attributes

subjectId
inScope
End-to-end machine-learning engineering tasks drawn from 75 Kaggle competitions — agents must produce a submission CSV scored against held-out leaderboards. Tasks use Python, common ML libraries (PyTorch, scikit-learn, pandas), and run inside a Docker sandbox.
outOfScope
Pure code-generation tasks (use HumanEval/SWE-bench), data-engineering (ETL) tasks without an ML objective, foundation-model pre-training, interactive/UI-driven ML workflows, and tasks requiring proprietary GPU clusters beyond a single accelerator.
outOfScopeReasonIds

Outgoing edges

bounds_subject1

Incoming edges

None.