README.md

Natural Perturbations for BoolQ

This repository contains the resources relevant to the following publication:

@article{khashabi2020naturalperturbations,
  title={Natural Perturbation for Robust Question Answering},
  author={D. Khashabi and T. Khot and A. Sabhwaral},
  journal={arXiv preprint},
  year={2020}
}

The data here BoolQ-NQ is an extension to BoolQ, a dataset that was originally released in Clark et al, 2019.

How does the data look like?

The dataset is organzied as a .jsonl file, i.e. each line is a json. Here is an example:

{"cluster-id": "25938", "question_id": "267", "is_seed_question": 0, "split": "train", "passage": "(Thanksgiving (United States)) Thanksgiving, or Thanksgiving Day, is a public holiday celebrated on the fourth Thursday of November in the United States. It originated as a harvest festival. Thanksgiving has been celebrated nationally on and off since 1789, after Congress requested a proclamation by George Washington. It has been celebrated as a federal holiday every year since 1863, when, during the American Civil War, President Abraham Lincoln proclaimed a national day of ``Thanksgiving and Praise to our beneficent Father who dwelleth in the Heavens,'' to be celebrated on the last Thursday in November. Together with Christmas and the New Year, Thanksgiving is a part of the broader fall/winter holiday season in the U.S.", "question": "is thanksgiving sometimes the last thursday of the month?", "hard_label": "True", "soft_label": 0.75, "roberta_hard": true, "ind_human_label": "?"}

Here the keys are:

• The question and its relevant passgae are defined with the question and passage fields.
• The gold yes/no gold answer is defined with the hard_label field. I have also included a "soft" label in soft_label in you wanna know how many have agreed on this label.
• The dataset split is indicated with split.
• roberta_hard indicates whether it was a difficult question for a RoBERTa trained on BoolQ.
• ind_human_label additional human label elicited for the instances included in the test split.
• is_seed_question indicates whether this question is borrowed from the original BoolQ dataset.
• cluster-id: one thing to notice about the data is that it comes as clusters of questions. The questions that belong to the same cluster share the same cluster-id.

How big is the data?

Here are some statistics on the data:

Measure	Full	Train	Dev	Test
# of questions	17323	9727	4434	3162
# of ``yes'' questions	9724	5733	2263	1728
# of ``no'' questions	7599	3994	2171	1434
# of clusters	4064	2408	919	737
average cluster size	4.3	4.1	4.8	4.3
median cluster size	3.0	3.0	3.0	3.0

How does the annotation interface look like?

Here is not-so-polished screencast of the annotation interface.