ibm-research/PopQA_robustness
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… See the full description on the dataset page: https://huggingface.co/datasets/ibm-research/PopQA_robustness.
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 IDquestion(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},
}