GPQA: Graduate-Level STEM Knowledge Challenge

Knowledge

Contains challenging multiple-choice questions created by domain experts in biology, physics, and chemistry, designed to test advanced scientific understanding beyond basic internet searches. Experts at PhD level in the corresponding domains reach 65% accuracy.

Contributed By

@jjallaire

Code

src/inspect_evals/gpqa

Paper

https://arxiv.org/abs/2311.12022

Overview

GPQA is an evaluation dataset consisting of graduate-level multiple-choice questions in subdomains of physics, chemistry, and biology.

This implementation is based on simple-eval’s implementation. This script evaluates on the GPQA-Diamond subset.

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

Then, evaluate against one or more models with:

inspect eval inspect_evals/gpqa_diamond --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/gpqa_diamond --limit 10
inspect eval inspect_evals/gpqa_diamond --max-connections 10
inspect eval inspect_evals/gpqa_diamond --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):

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

Two quantum states with energies E1 and E2 have a lifetime of 10^-9 sec and 10^-8 sec, respectively. We want to clearly distinguish these two energy levels. Which one of the following options could be their energy difference so that they can be clearly resolved?

  1. 10^-4 eV
  2. 10^-11 eV
  3. 10^-8 eV
  4. 10^-9 eV

The model is then tasked to pick the correct answer choice.

Scoring

A simple accuracy is calculated over the datapoints.