Before revision:  We study the dialect bias in the summaries of such datasets generated by common summarization algorithms and observe that, for datasets that have sentences from more than one dialect, most summarization algorithms return summaries that under-represent the minority dialect .
After revision:  We study the dialect bias in the summaries of such datasets generated by common summarization approaches, i.e., they often return summaries that under-represent the minority dialect .