ScienceWorld

ScienceWorld is a text-based virtual environment centered around accomplishing tasks from the standardized elementary science curriculum. This code accompanies the paper ScienceWorld: Is your Textual Agent Smarter than a 5th grader?.

Demo and examples

You can try ScienceWorld yourself via our HuggingFace Space or read some of the playthrough transcripts.

Citation

@misc{scienceworld2022,
    title={ScienceWorld: Is your Agent Smarter than a 5th Grader?},
    author={Ruoyao Wang and Peter Jansen and Marc-Alexandre C{\^o}t{\'e} and Prithviraj Ammanabrolu},
    year={2022},
    eprint={2203.07540},
    archivePrefix={arXiv},
    primaryClass={cs.CL},
    url={https://arxiv.org/abs/2203.07540}
}

Quickstart

Before running: You will have to have Java 1.8+ installed on your system (shipped with most linux distributions) and Python 3.8+. We recommend creating a conda environment like this:

conda create --name scienceworld python=3.8
conda activate scienceworld

Then, install ScienceWorld either from PyPi:

pip install scienceworld

or from source in development mode:

git clone https://github.com/allenai/ScienceWorld.git
cd ScienceWorld
pip install .

Run an example random agent, on task 13 (classification: place a non-living thing in a box), for 5 episodes:

python examples/random_agent.py --task-num=13 --num-episodes=5 --simplifications-preset easy

Run a user console where you can interact with the environment, on task 3 (change of state: melting):

python examples/human.py --task-num=3 --num-episodes=5

Web Server Demo

A web server demo is also available, that allows running a ScienceWorld user console that can be interacted with in a web browser.

To run the web server demo:

conda create --name scienceworld python=3.8
conda activate scienceworld
pip install scienceworld[webserver]

Run the web server:

python examples/scienceworld-web-server-example.py

Point your web browser to: localhost:8080

ScienceWorld Design

ScienceWorld is written in Scala (2.12.9), and compiles using sbt into a JAR file that is run with Java. For convenience, a Python API is provided (Python >= 3.8), which interfaces using the py4j package.

If you modified the Scala code, you can recompile the JAR file by running:

./simulator/package.sh
pip install -e .

Tasks

The tasks are listed in the table below along with their number of variations. Either the task ID or its name can be used to a task with env.load().

Task ID	Task Name	# Variations
1-1	boil	30
1-2	melt	30
1-3	freeze	30
1-4	change-the-state-of-matter-of	30
2-1	use-thermometer	540
2-2	measure-melting-point-known-substance	436
2-3	measure-melting-point-unknown-substance	300
3-1	power-component	20
3-2	power-component-renewable-vs-nonrenewable-energy	20
3-3	test-conductivity	900
3-4	test-conductivity-of-unknown-substances	600
4-1	find-living-thing	300
4-2	find-non-living-thing	300
4-3	find-plant	300
4-4	find-animal	300
5-1	grow-plant	126
5-2	grow-fruit	126
6-1	chemistry-mix	32
6-2	chemistry-mix-paint-secondary-color	36
6-3	chemistry-mix-paint-tertiary-color	36
7-1	lifespan-longest-lived	125
7-2	lifespan-shortest-lived	125
7-3	lifespan-longest-lived-then-shortest-lived	125
8-1	identify-life-stages-1	14
8-2	identify-life-stages-2	10
9-1	inclined-plane-determine-angle	168
9-2	inclined-plane-friction-named-surfaces	1386
9-3	inclined-plane-friction-unnamed-surfaces	162
10-1	mendelian-genetics-known-plant	120
10-2	mendelian-genetics-unknown-plant	480

Baseline Agents

DRRN: https://github.com/cognitiveailab/drrn-scienceworld

KG-A2C: https://github.com/cognitiveailab/kga2c-scienceworld

CALM: https://github.com/cognitiveailab/calm-scienceworld

Behavior Cloning and Decision Transformer: https://github.com/cognitiveailab/t5-scienceworld