# WinoGrande

[WinoGrande](https://arxiv.org/pdf/1907.10641) is a collection of 44k problems inspired by the [Winograd Schema Challenge](https://cdn.aaai.org/ocs/4492/4492-21843-1-PB.pdf). 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.

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Contributed by [@xeon27](https://github.com/xeon27)
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## Usage

First, install the `inspect_ai` and `inspect_evals` Python packages with:

```bash
pip install inspect_ai
pip install git+https://github.com/UKGovernmentBEIS/inspect_evals
```

Or, if developing on a clone of the `inspect_evals` repo, you can install the package in editable mode with:

```bash
pip install -e ".[dev]"
```

Then, evaluate against one or more models with:

```bash
inspect eval inspect_evals/winogrande --model openai/gpt-4o
```

After running evaluations, you can view their logs using the `inspect view` command:

```bash
inspect view
```

If you don't want to specify the `--model` each time you run an evaluation, create a `.env` configuration file in your working directory that defines the `INSPECT_EVAL_MODEL` environment variable along with your API key. For example:

```bash
INSPECT_EVAL_MODEL=anthropic/claude-3-5-sonnet-20240620
ANTHROPIC_API_KEY=<anthropic-api-key>
```
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## Options

You can control a variety of options from the command line. For example:

```bash
inspect eval inspect_evals/winogrande --limit 10
inspect eval inspect_evals/winogrande --max-connections 10
inspect eval inspect_evals/winogrande --temperature 0.5
```

See `inspect eval --help` for all available options.
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## 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.
