NLP benchmarks have largely focused onshorttexts, such as sentences and paragraphs, even thoughlongtexts comprise a considerable amount of natural language in the wild.
We introduceScrolls, a suite of tasks that require reasoning over long texts.
We examine existing long-text datasets, and handpick ones where the text is naturally long, while prioritizing tasks that involve synthesizing information across the input.Scrollscontains summarization, question answering, and natural language inference tasks, covering multiple domains, including literature, science, business, and entertainment.
Initial baselines, including Longformer Encoder-Decoder, indicate that there is ample room for improvement onScrolls.
We make all datasets available in a unified text-to-text format and host a live leaderboard to facilitate research on model architecture and pretraining methods.111https://www.scrolls-benchmark.com