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DS-1000: data-science programming with execution and API constraints

Contribution grade

Code-generation benchmarks · Evaluation resource design

Reference score115,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Curated and perturbed Stack Overflow problems across seven Python libraries, supplied executable contexts and combined functional tests with task-specific surface-form constraints.

Scientific scope

Curated and perturbed Stack Overflow problems across seven Python libraries, supplied executable contexts and combined functional tests with task-specific surface-form constraints. The thousand tasks derive from a smaller set of source questions, not a thousand independent original posts. The evaluation environment fixes library versions. Perturbation and red teaming reduce memorization risk and observed false acceptance; they do not eliminate contamination or prove correctness.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. The thousand tasks derive from a smaller set of source questions, not a thousand independent original posts. The evaluation environment fixes library versions. Perturbation and red teaming reduce memorization risk and observed false acceptance; they do not eliminate contamination or prove correctness.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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