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Call For Evaluations & Datasets 2026

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The NeurIPS Evaluations & Datasets (E&D) Track invites submissions that advance the science and practice of evaluation in AI/ML including the development and use of datasets and other resources. Formerly the Datasets & Benchmarks Track, the E&D Track reflects a shift and broadening in scope: evaluation becomes an object of scientific study in its own right. Scientific debates increasingly hinge on evaluation - what is measured, under what assumptions, and how results are interpreted. We define evaluation as the full set of processes, tools, datasets, benchmarks, and practices used to test, stress-test, audit, compare, and interpret AI/ML systems across their lifecycle. Datasets remain central to the track, both as components of evaluations and as resources used across the AI/ML lifecycle (training, fine-tuning, testing, auditing). However, dataset submissions should also clarify how they should be meaningfully used in evaluative practices rather than being endpoints in themselves. Subm

Call For Evaluations & Datasets 2026 CSP Test --> NeurIPS 2026 Evaluations & Datasets Track Call for Papers The NeurIPS Evaluations & Datasets (E&D) Track invites submissions that advance the science and practice of evaluation in AI/ML including the development and use of datasets and other resources. Formerly the Datasets & Benchmarks Track, the E&D Track reflects a shift and broadening in scope: evaluation becomes an object of scientific study in its own right . Scientific debates increasingly hinge on evaluation - what is measured, under what assumptions, and how results are interpreted. We

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