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PROST: Physical Reasoning about Objects through Space and Time

Description

Code and dataset for "PROST: Physical Reasoning about Objects through Space and Time". This repository is not maintained, but is here for posterity.

How to Use

Using PROST

If you'd like to use PROST outside the scope of this repo, we highly recommend using the version hosted on the Huggingface Hub as it requires no additional dependencies.

from datasets import load_dataset

dataset = load_dataset('corypaik/prost', split='test')

You can find more details about how to use Huggingface Datasets here.

Note: PROST is also implemented as a Huggingface Dataset in /src/prost, which will generate the same data, but builds the dataset directly from yaml templates and requires some extra dependencies.

Reproducing experiments

First, clone the project

# clone project
git clone https://github.com/nala-cub/prost

# goto project
cd prost

This project optionally uses Bazel. Please see the provided links for install instructions relevant to your OS if you wish to use Bazel.

Run with Bazel:

bazel run //src:run

If you don't have Bazel installed, you can install dependencies via pip.

virtualenv venv
. venv/bin/activate
# install all pip requirements
pip install -r tools/no_bzl_requirements.txt
pip install -r tools/requirements.txt

Run experiments

cd src 
python run.py 

Results

The location of results is dependent on how you set up and run this repository. If ran with Bazel, all results will be under _bazel/out/results. Otherwise, the results should be under /tmp/prost-results.

Citation

If this code was useful, please cite the paper:

@inproceedings{aroca-ouellette-etal-2021-prost,
    title = "{PROST}: {P}hysical Reasoning about Objects through Space and Time",
    author = "Aroca-Ouellette, St{\'e}phane  and
      Paik, Cory  and
      Roncone, Alessandro  and
      Kann, Katharina",
    booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.findings-acl.404",
    pages = "4597--4608",
}

License

PROST is licensed under the Apache 2.0 license. The text of the license can be found here.