movie_name
stringlengths 6
73
| imdb_id
stringlengths 9
10
| script
stringlengths 37.2k
537k
| summary
stringlengths 101
10.6k
|
|---|---|---|---|
8MM_1999 | tt0134273 | "<script>\n <scene>\n <stage_direction>INT. MIAMI AIRPORT, TERMINAL -- DAY</stage_direction>\n (...TRUNCATED) | "Private investigator Tom Welles is contacted by Daniel Longdale, attorney for wealthy widow Mrs. Ch(...TRUNCATED) |
The Iron Lady_2011 | tt1007029 | "<script>\n <scene>\n <stage_direction>INT. SHOP. NR CHESTER SQUARE. LONDON. PRESENT. DAWN.</sta(...TRUNCATED) | "In flashbacks, the audience is shown a young Margaret Roberts working at the family grocer's shop i(...TRUNCATED) |
Adventureland_2009 | tt1091722 | "<script>\n <scene>\n <scene_description>AdVeNtUrElAnD by Greg Mottola revised August 5, 2007 al(...TRUNCATED) | "In 1987, James Brennan plans to have a summer vacation in Europe after graduating from Oberlin Coll(...TRUNCATED) |
Napoleon_2023 | tt13287846 | "<script>\n <scene>\n <character>NAPOLEON</character>\n <dialogue>By</dialogue>\n <scene_d(...TRUNCATED) | "In 1793, amid the French Revolution, young army officer Napoleon Bonaparte watches Marie Antoinette(...TRUNCATED) |
Kubo and the Two Strings_2016 | tt4302938 | "<script>\n <scene>\n <character>KUBO</character>\n <dialogue>... AND THE TWO STRINGS</dialog(...TRUNCATED) | "In feudal Japan, a 12-year-old boy with only one eye named Kubo tends to his ill mother in a mounta(...TRUNCATED) |
The Woman King_2022 | tt8093700 | "<script>\n <scene>\n <character>THE WOMAN KING</character>\n <dialogue>by</dialogue>\n <s(...TRUNCATED) | "In the West African kingdom of Dahomey in 1823, General Nanisca, leader of the all-female tribe of (...TRUNCATED) |
What They Had_2018 | tt6662736 | "<script>\n <scene>\n <character>WHAT THEY HAD</character>\n <dialogue>by</dialogue>\n <sc(...TRUNCATED) | "When Alzheimer's-stricken Ruth Everhardt wanders into the streets during a blizzard on Christmas Ev(...TRUNCATED) |
Synecdoche, New York_2008 | tt0383028 | "<script>\n <scene>\n <scene_description>SYNECDOCHE, NEW YORK by Charlie Kaufman Darkness. The s(...TRUNCATED) | "Theater director Caden Cotard finds his life unraveling. He suffers from numerous physical ailments(...TRUNCATED) |
Black Christmas_2006 | tt0454082 | "<script>\n <scene>\n <scene_description>BI,ACK CHRISTMAS by Glen Morgan Based on the film \"Bfa(...TRUNCATED) | "Billy Lenz is born in 1970, with severe jaundice due to a liver disease, and is constantly abused b(...TRUNCATED) |
Superbad_2007 | tt0829482 | "<script>\n <scene>\n <stage_direction>SUPERBAD</stage_direction>\n <scene_description>OPENIN(...TRUNCATED) | "Seth and Evan are two high school seniors who have been best friends since childhood. The two are a(...TRUNCATED) |
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MovieSum: An Abstractive Summarization Dataset for Movie Screenplays
Dataset Summary
MovieSum consists of 2,200 movie screenplays and their corresponding Wikipedia summaries. It is a long-form summarization task where the mean length of movie screenplays is approximately 34K. We manually formatted the movie screenplays to represent their structural elements. We also provide the IMDB ID for each movie to facilitate the collection of additional metadata.
Dataset Statistics
| Total Movie Screenplays | 2,200 |
| Mean Screenplay Length | 34,275 |
| Mean Summary Length | 793 |
Each movie screenplay is in XML format with the following DOM structure:
<script>
<scene>
<stage_direction>..</stage_direction>
<scene_description>...</scene_description>
<character>..</character>
<dialogue>..</dialogue>
...
</scene>
<scene>
...
</scene>
<script>
Dataset Structure
The dataset is divided into three parts:
- Training Set: 1800 movie screenplays, summaries, and IMDB ids.
- Validation Set: 200 movie screenplays, summaries, and IMDB ids.
- Test Set: 200 movie screenplays, summaries, and IMDB ids.
License
Creative Commons Attribution Non Commercial 4.0
Citation
@inproceedings{saxena-keller-2024-moviesum,
title = "MovieSum: An Abstractive Summarization Dataset for Movie Screenplays",
author = "Saxena, Rohit and
Keller, Frank",
booktitle = "Findings of the Association for Computational Linguistics: ACL 2024",
month = AUG,
year = "2024",
address = "Bangkok, Thailand",
publisher = "Association for Computational Linguistics",
}
@misc{saxena2024moviesumabstractivesummarizationdataset,
title={MovieSum: An Abstractive Summarization Dataset for Movie Screenplays},
author={Rohit Saxena and Frank Keller},
year={2024},
eprint={2408.06281},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2408.06281},
}
license: cc-by-nc-4.0
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