SummScreen is a dataset for abstractive screenplay summarization. It consists of pairs of TV series transcripts and human-written recaps. This dataset provides a challenging testbed for abstractive summarization for several reasons: - Plot details are often expressed indirectly in character dialogues and may be scattered across the entirety of the transcript. - These details must be found and integrated to form the succinct plot descriptions in the recaps. - TV scripts contain content that does not directly pertain to the central plot but rather serves to develop characters or provide comic relief. This information is rarely contained in recaps.

BookSum is a collection of datasets for long-form narrative summarization. This dataset covers source documents from the literature domain, such as novels, plays and stories, and includes highly abstractive, human written summaries on three levels of granularity of increasing difficulty: paragraph-, chapter-, and book-level. The domain and structure of this dataset poses a unique set of challenges for summarization systems, which include: processing very long documents, non-trivial causal and temporal dependencies, and rich discourse structures. BookSum contains summaries for 142,753 paragraphs, 12,293 chapters and 436 books.

MENSA: Movie Scene Saliency Dataset ## Dataset Summary The dataset, MENSA (Movie Scene Saliency Dataset) is from the paper "Select and Summarize: Scene Saliency for Movie Script Summarization", and consists of movie scripts and their corresponding summaries. Each scene in the movie script is annotated with scene saliency labels. The training set contains silver labels, which are automatically generated, while the validation and test sets contain human-annotated gold labels. ## Dataset Structure The dataset is divided into three parts: - Training Set: Contains movie scripts and summaries with silver scene saliency labels. - Validation Set: Contains movie scripts and summaries with human-annotated gold scene saliency labels. - Test Set: Contains movie scripts and summaries with human-annotated gold scene saliency labels.