scienceworld 1.0.0rc1

ScienceWorld: An interactive text environment to study AI agents on accomplishing tasks from the standardized elementary science curriculum.

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

Example play-through transcripts are available at: https://sciworld.apps.allenai.org/explore

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 .

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 .[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.

Ports: ScienceWorld is nominally run as a server, which interfaces to the Python API with py4j through a port. The default port is 25335. The actual port used will be 25335 + the thread number provided when a ScienceWorld class is instantiated.

Threads: ScienceWorld is designed to run many threads simultaneously, if desired. To do so, initialize one ScienceWorldEnv object per thread, and provide a unique threadNum for each thread. Don't forget to close down servers that you instantiate using the env.shutdown() command. If you are spawning many threads (10+) at the same time, you may wish to add a short delay (5-10 seconds) after initialization to wait for all the servers to initialize.

Tasks

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

SubTask #	Task Name
0	task-1-boil
1	task-1-change-the-state-of-matter-of
2	task-1-freeze
3	task-1-melt
4	task-10-measure-melting-point-(known-substance)
5	task-10-measure-melting-point-(unknown-substance)
6	task-10-use-thermometer
7	task-2-power-component
8	task-2-power-component-(renewable-vs-nonrenewable-energy)
9	task-2a-test-conductivity
10	task-2a-test-conductivity-of-unknown-substances
11	task-3-find-animal
12	task-3-find-living-thing
13	task-3-find-non-living-thing
14	task-3-find-plant
15	task-4-grow-fruit
16	task-4-grow-plant
17	task-5-chemistry-mix
18	task-5-chemistry-mix-paint-(secondary-color)
19	task-5-chemistry-mix-paint-(tertiary-color)
20	task-6-lifespan-(longest-lived)
21	task-6-lifespan-(longest-lived-then-shortest-lived)
22	task-6-lifespan-(shortest-lived)
23	task-7-identify-life-stages-1 (animal)
24	task-7-identify-life-stages-2 (plant)
25	task-8-inclined-plane-determine-angle
26	task-8-inclined-plane-friction-(named-surfaces)
27	task-8-inclined-plane-friction-(unnamed-surfaces)
28	task-9-mendellian-genetics-(known-plant)
29	task-9-mendellian-genetics-(unknown-plant)

Citation

Bibtex

TODO