WinoGrande Dataset
by Allen Institute for AI · open-source · Last verified 2026-03-17
WinoGrande is a large-scale crowdsourced dataset of 44,000 Winograd-style fill-in-the-blank commonsense problems, debiased using the AFLITE algorithm to minimize spurious statistical cues. It is significantly harder than the original Winograd Schema Challenge for contemporary NLP models.
https://huggingface.co/datasets/allenai/winogrande ↗B+
B+—Good
Adoption: AQuality: AFreshness: BCitations: AEngagement: F
Specifications
- License
- Apache-2.0
- Pricing
- open-source
- Capabilities
- commonsense-evaluation, coreference-resolution-benchmark
- Integrations
- huggingface-datasets, lm-eval-harness
- Use Cases
- model-evaluation, commonsense-reasoning, benchmarking
- API Available
- No
- Tags
- benchmark, commonsense, winograd-schema, fill-in-the-blank, crowdsourced
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
73.8Adoption
86
Quality
87
Freshness
68
Citations
88
Engagement
0
Put AI to work for your business
Deploy this dataset alongside autonomous AaaS agents that handle tasks end-to-end — no babysitting required.