Winogrande — LLM Evaluation & Benchmarks Dataset
44k commonsense reasoning problems inspired by Winograd Schema challenges. Tests whether models can resolve pronoun ambiguity using real-world knowledge. Requires understanding of causality and physical common sense that pure language statistics can't capture. Included in the Open LLM Leaderboard.
Dataset Details
| Provider | allenai |
| Category | Evaluation & Benchmarks |
| Size | 44k Problems |
| License | Apache 2.0 |
| Downloads | 3M |
| Tags | Benchmark, Commonsense-Reasoning, Winograd, NLU |
from datasets import load_dataset
ds = load_dataset("allenai/winogrande")
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Frequently asked questions
Can I use Winogrande commercially?
Yes — Winogrande is released under Apache 2.0, a permissive license that allows commercial use, including training models you ship in a product. Check the dataset card for attribution requirements before release.
How much data does Winogrande contain, and do I need all of it?
Winogrande contains 44k Problems. It is an evaluation benchmark, so it is used in full to measure models — never mix it into training data, or your benchmark scores become meaningless.
What is Winogrande best used for?
Benchmarking commonsense reasoning. It belongs to the Evaluation & Benchmarks section of our dataset hub, where you'll find alternatives and complementary sets.
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