Winogrande
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.
from datasets import load_dataset
ds = load_dataset("allenai/winogrande")Preview a sample row
{
"sentence": "The trophy didn't fit in the suitcase because it was too big.",
"option1": "trophy",
"option2": "suitcase",
"answer": "1"
}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.