{"yuvalkirstain--summ_screen_fd_t5_lm": {"description": "\nSCROLLS: Standardized CompaRison Over Long Language Sequences.\nA suite of natural language datasets that require reasoning over long texts.\nhttps://scrolls-benchmark.com/\n\nSummScreenFD (Chen  et al., 2021) is a summarization dataset in the domain of TV shows (e.g. Friends, Game of Thrones).\nGiven a transcript of a specific episode, the goal is to produce the episode's recap.\nThe original dataset is divided into two complementary subsets, based on the source of its community contributed transcripts. \nFor SCROLLS, we use the ForeverDreaming (FD) subset, as it incorporates 88 different shows, \nmaking it a more diverse alternative to the TV MegaSite (TMS) subset, which has only 10 shows. \nCommunity-authored recaps for the ForeverDreaming transcripts were collected from English Wikipedia and TVMaze.", "citation": "\n@misc{chen2021summscreen,\n      title={SummScreen: A Dataset for Abstractive Screenplay Summarization}, \n      author={Mingda Chen and Zewei Chu and Sam Wiseman and Kevin Gimpel},\n      year={2021},\n      eprint={2104.07091},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL}\n}\n\n@article{ TODO citation here\n}\nNote that each SCROLLS dataset has its own citation. Please see the source to\nget the correct citation for each contained dataset.\n", "homepage": "https://github.com/mingdachen/SummScreen", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "pid": {"dtype": "string", "id": null, "_type": "Value"}, "input": {"dtype": "string", "id": null, "_type": "Value"}, "output": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": null, "config_name": null, "version": null, "splits": {"train": {"name": "train", "num_bytes": 8395935, "num_examples": 3673, "dataset_name": "summ_screen_fd_t5_lm"}, "validation": {"name": "validation", "num_bytes": 781719, "num_examples": 338, "dataset_name": "summ_screen_fd_t5_lm"}, "test": {"name": "test", "num_bytes": 781719, "num_examples": 338, "dataset_name": "summ_screen_fd_t5_lm"}}, "download_checksums": null, "download_size": 6346351, "post_processing_size": null, "dataset_size": 9959373, "size_in_bytes": 16305724}}