GPQA: A Graduate-Level Google-Proof Q&A Benchmark
Challenging dataset of 448 multiple-choice questions written by domain experts in biology, physics, and chemistry (experts at PhD level in the corresponding domains reach 65% accuracy).
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?
- 10^-4 eV
- 10^-11 eV
- 10^-8 eV
- 10^-9 eV
The model is then tasked to pick the correct answer choice.
Scoring
A simple accuracy is calculated over the datapoints.