Original Title: `PIQA: Reasoning about Physical Commonsense in Natural Language`
Original paper: [PICA](https://arxiv.org/abs/1911.11641)
Physical Interaction: Question Answering (PIQA) is a physical commonsense
reasoning and a corresponding benchmark dataset. PIQA was designed to investigate
the physical knowledge of existing models. To what extent are current approaches
actually learning about the world?
[Homepage](https://yonatanbisk.com/piqa)
AlGhafa has translated this dataset to Arabic[AlGafa](https://aclanthology.org/2023.arabicnlp-1.21.pdf)
The link to the Arabic version of the dataset [PICA](https://gitlab.com/tiiuae/alghafa/-/tree/main/arabic-eval/pica_ar)
### Citation
### Groups and Tasks
#### Groups
* Not part of a group yet.
#### Tasks
*`piqa_ar`
### Checklist
For adding novel benchmarks/datasets to the library:
* [x] Is the task an existing benchmark in the literature?
* [x] Have you referenced the original paper that introduced the task?
* [x] If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test?
If other tasks on this dataset are already supported:
* [x] Is the "Main" variant of this task clearly denoted?
* [x] Have you provided a short sentence in a README on what each new variant adds / evaluates?
* [x] Have you noted which, if any, published evaluation setups are matched by this variant?
