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--- |
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license: mit |
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task_categories: |
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- question-answering |
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language: |
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- en |
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--- |
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# Dataset Card for "PopQA-robustness" |
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### Dataset Summary |
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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. |
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It is intended for use as a benchmark for evaluating model robustness on question-answering to these perturbations. |
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### Data Instances |
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#### popqa_robustness |
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- **Size of downloaded dataset file:** 26.4 MB |
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### Data Fields |
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#### boolq_robustness |
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- `id` (integer): original question grouping ID |
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- `question` (string): variant of question from BoolQ. |
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- `variant_id` (integer): identifier of the variant. 0 indicates it is the original unperturbed question. |
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- `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. |
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- `possible_answers` (string): list of strings of possible answers. |
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### Citation Information |
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``` |
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@misc{ackerman2024novelmetricmeasuringrobustness, |
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title={A Novel Metric for Measuring the Robustness of Large Language Models in Non-adversarial Scenarios}, |
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author={Samuel Ackerman and Ella Rabinovich and Eitan Farchi and Ateret Anaby-Tavor}, |
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year={2024}, |
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eprint={2408.01963}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2408.01963}, |
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} |
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``` |
