Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+task_categories:
+- question-answering
+language:
+- en
+---
+license: mit
+---
+
+# 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}, 
+}
+```