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?.

Examples

Read some of the playthrough transcripts available at: https://sciworld.apps.allenai.org/explore

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).

Install with pip:

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

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, which interfaces using the py4j package.

Tasks

The subtasks and their associated subtask indices are listed below. Subtask indices are automatically assigned by sorting task names:

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

Additional Documentation

Coming soon!