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DS-1000
DS-1000 is identified by its primary project source as an evaluation family covering data science code and library use. This entry publishes independently authored task signatures only.
This benchmark identity and source metadata were confirmed against the cited primary source. Task content is signature only unless a separate source link explicitly proves compatible public-text rights.
data science code library use
Primary source: DS-1000 project
Source evidence
Tasks
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Constraint-aware solution
Evaluate whether an agent can construct a solution while respecting declared resource and interface constraints in a deterministic code evaluator. Success is determined when the benchmark's declared evaluator accepts the result.
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Functional code generation
Evaluate whether an agent can produce a program satisfying a bounded functional specification in a versioned code-execution sandbox. Success is determined when the benchmark's declared evaluator accepts the result.
signature only
Repair after feedback
Evaluate whether an agent can repair an incorrect program after bounded evaluator feedback in an isolated coding environment. Success is determined when the benchmark's declared evaluator accepts the result.
signature only
Execution reasoning
Evaluate whether an agent can reason about the observable behavior of a supplied program in a declared programming-language runtime. Success is determined when the predicted behavior matches the evaluator.
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