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WinoGrande Benchmark

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1,270 problems is the sample count the study audited (arXiv:2607.28801, Table 1), not the full dataset of 44k problems (arXiv:1907.10641). An adversarial Winograd Schema challenge (arXiv:1907.10641). The study notes analyses reveal persistent gender and cultural biases (arXiv:2607.28801, section 2). The annotating paper also reports full-split accuracies for Llama-3.2-1B and SmolLM-1.7B-Instruct (arXiv:2607.28801, Table 4 / App. Table 9); those rows are filed in benchmark_scores.yml.

Released
2019-07-24
Evaluates
reasoning
Openness
unknown
Importer
Model reports

WinoGrande paper

WinoGrande results and reported scores

Reported benchmark scores · Model reports

Reported scores: 2

ModelOrganizationReported valueReportedEvidence
Llama-3.2-1BMeta57.92026-07-30evidence
SmolLM-1.7B-InstructHuggingFaceTB55.02026-07-30evidence

Scores are partitioned by the source that reported them and are never merged into a single cross-source ranking, because the sources measure different things and say so.

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