README.md

---
license: mit
task_categories:
- question-answering
language:
- en
---

# Dataset Card for "PopQA-robustness"

### Dataset Summary

PopQS-robustness is an expanded version of the PopQA dataset (https://aclanthology.org/2023.acl-long.546/) but with perturbations of the original input questions.
It is intended for use as a benchmark for evaluating model robustness on question-answering to these perturbations.

### Data Instances

#### popqa_robustness

- **Size of downloaded dataset file:** 26.4 MB

### Data Fields
#### boolq_robustness
- `id` (integer): original question grouping ID
- `question` (string): variant of question from BoolQ.
- `variant_id` (integer): identifier of the variant.  0 indicates it is the original unperturbed question.
- `variant_type` (string): name of the expansion variant type.  "original" is the original question; "simple" is a superficial non-semantic perturbation; "paraphrase" is a semantic paraphrase of the question.
- `possible_answers` (string): list of strings of possible answers.

### Citation Information
```
@misc{ackerman2024novelmetricmeasuringrobustness,
      title={A Novel Metric for Measuring the Robustness of Large Language Models in Non-adversarial Scenarios}, 
      author={Samuel Ackerman and Ella Rabinovich and Eitan Farchi and Ateret Anaby-Tavor},
      year={2024},
      eprint={2408.01963},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2408.01963}, 
}
```