Datasets › OpenMEVA
OpenMEVA
OpenMEVA is a benchmark for evaluating open-ended story generation metrics. OpenMEVA provides a comprehensive test suite to assess the capabilities of metrics, including (a) the correlation with human judgments, (b) the generalization to different model outputs and datasets, (c) the ability to judge story coherence, and (d) the robustness to perturbations. To this end, OpenMEVA includes both manually annotated stories and auto-constructed test examples.
Source: OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics
Image source: OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics
Benchmarks archive 2025-07-28
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Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 10 papers for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
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License archive 2025-07-28
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Modalities archive 2025-07-28
Languages archive 2025-07-28
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Variants archive 2025-07-28
- OpenMEVA
1 variant name, as the archive lists them.
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