Shmoop Corpus
Introduced by Chaudhury et al. in The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries
Shmoop Corpus is a dataset of 231 stories that are paired with detailed multi-paragraph summaries for each individual chapter (7,234 chapters), where the summary is chronologically aligned with respect to the story chapter. From the corpus, a set of common NLP tasks are constructed, including Cloze-form question answering and a simplified form of abstractive summarization, as benchmarks for reading comprehension on stories.
Source: Shmoop CorpusPapers
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