PIQA: Physical Commonsense Reasoning Test

Reasoning

Measures the model’s ability to apply practical, everyday commonsense reasoning about physical objects and scenarios through simple decision-making questions.

Contributed By

@seddy-aisi

Code

src/inspect_evals/piqa

Paper

https://arxiv.org/abs/1911.11641

Overview

PIQA is a benchmark to measure the model’s physical commonsense reasoning.

Notice: Issue with datasets version

As of version 4.0.0 of datasets, dataset scripts are no longer supported by the package. This causes issues with this benchmark’s dataset and prevents use.

Until changes to the this benchmark’s dataset are made, datasets has been pinned to <4.0.0 in requirements.txt. v3.6.0 is known to work.

pip install "datasets<4.0.0"

Usage

First, install the inspect_ai and inspect_evals Python packages with:

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:

pip install -e ".[dev]"

Then, evaluate against one or more models with:

inspect eval inspect_evals/piqa --model openai/gpt-4o

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

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:

INSPECT_EVAL_MODEL=anthropic/claude-3-5-sonnet-20240620
ANTHROPIC_API_KEY=<anthropic-api-key>

Options

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

inspect eval inspect_evals/piqa --limit 10
inspect eval inspect_evals/piqa --max-connections 10
inspect eval inspect_evals/piqa --temperature 0.5

See inspect eval --help for all available options.

Dataset

Here is an example prompt from the dataset (after it has been further processed by Inspect):

The entire content of your response should be of the following format: ‘ANSWER:$LETTER’ (without quotes) where LETTER is one of A,B.

Given either a question or a statement followed by two possible solutions labelled A and B, choose the most appropriate solution. If a question is given, the solutions answer the question. If a statement is given, the solutions explain how to achieve the statement.

How do I ready a guinea pig cage for it’s new occupants?

Provide the guinea pig with a cage full of a few inches of bedding made of ripped paper strips, you will also need to supply it with a water bottle and a food dish.

Provide the guinea pig with a cage full of a few inches of bedding made of ripped jeans material, you will also need to supply it with a water bottle and a food dish.

The model is then tasked to pick the correct choice.

Scoring

A simple accuracy is calculated over the datapoints.