WINOGRANDE: An Adversarial Winograd Schema Challenge at Scale
Set of 273 expert-crafted pronoun resolution problems originally designed to be unsolvable for statistical models that rely on selectional preferences or word associations.
Overview
WinoGrande is a collection of 44k problems inspired by the Winograd Schema Challenge. Formulated as a fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires commonsense reasoning.
Usage
Installation
Install with pip install inspect-evals, or uv sync from a checkout of this repository.
Running evaluations
uv run inspect eval inspect_evals/winogrande --model openai/gpt-5-nanoYou can also import tasks as normal Python objects and run them from python:
from inspect_ai import eval
from inspect_evals.winogrande import winogrande
eval(winogrande)Drop uv run if you manage dependencies yourself. Log viewing (inspect view) and default-model setup are documented in the Inspect Evals README.
Options
You can control a variety of options from the command line. For example:
uv run inspect eval inspect_evals/winogrande --limit 10 --sample-shuffle
uv run inspect eval inspect_evals/winogrande --max-connections 10
uv run inspect eval inspect_evals/winogrande --temperature 0.5See uv run inspect eval --help for all available options.
Parameters
winogrande
dataset_name(str): (default:'winogrande_xl')fewshot(int): (default:5)fewshot_seed(int): (default:42)fewshot_shuffle(bool): (default:True)shuffle(bool): (default:False)
Dataset
Here is an example from the dataset:
Sentence: He never comes to my home, but I always go to his house because the [BLANK] is smaller.
Options: home, house
The model is tasked to fill the [BLANK] with either of the two options.
Evaluation
A simple accuracy is calculated over the datapoints.
Changelog
[2-A] - 2026-02-16
- Migrate version to new scheme. See #907.
[1.0.1] - 2025-12-18
- Adds backoff policy for functions that connect to huggingface servers.