metadata

language_creators:
  - found
languages:
  - en
licenses:
  - cc-by-4.0
multilinguality:
  - monolingual
pretty_name: Scifi_TV_Shows
size_categories:
  - unknown
source_datasets:
  - original
task_categories:
  - other
task_ids:
  - other-other-story-generation
tags:
  - Story Generation
paperswithcode_id: scifi-tv-plots

Dataset Card for Science Fiction TV Show Plots Corpus

Dataset Description
- Format
Raw Dataset Structure
Additional Information
- Citation
- Licensing

Dataset Description

A collection of long-running (80+ episodes) science fiction TV show plot synopses, scraped from Fandom.com wikis. Collected Nov 2017. Each episode is considered a "story".

Contains plot summaries from:

Babylon 5 (https://babylon5.fandom.com/wiki/Main_Page) - 84 stories
Doctor Who (https://tardis.fandom.com/wiki/Doctor_Who_Wiki) - 311 stories
Doctor Who spin-offs - 95 stories
Farscape (https://farscape.fandom.com/wiki/Farscape_Encyclopedia_Project:Main_Page) - 90 stories
Fringe (https://fringe.fandom.com/wiki/FringeWiki) - 87 stories
Futurama (https://futurama.fandom.com/wiki/Futurama_Wiki) - 87 stories
Stargate (https://stargate.fandom.com/wiki/Stargate_Wiki) - 351 stories
Star Trek (https://memory-alpha.fandom.com/wiki/Star_Trek) - 701 stories
Star Wars books (https://starwars.fandom.com/wiki/Main_Page) - 205 stories, each book is a story
Star Wars Rebels - 65 stories
X-Files (https://x-files.fandom.com/wiki/Main_Page) - 200 stories

Total: 2276 stories

Dataset is "eventified" and generalized (see LJ Martin, P Ammanabrolu, X Wang, W Hancock, S Singh, B Harrison, and MO Riedl. Event Representations for Automated Story Generation with Deep Neural Nets, Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018. for details on these processes.) and split into train-test-validation sets—separated by story so that full stories will stay together—for converting events into full sentences.

Format

Dataset Split	Number of Stories in Split	Number of Lines in Split
Train	1738	257,184
Validation	194	32,855
Test	450	30,938

Raw Dataset Structure

all-sci-fi-data.txt

Each line of the stories contains data in the format: 5-tuple events in a list (subject, verb, direct object, modifier noun, preposition) ||| generalized 5-tuple events in a list ||| original sentence ||| generalized sentence

e.g., [[u'Voyager', u'run', 'EmptyParameter', u'deuterium', u'out'], [u'Voyager', u'force', u'go', 'EmptyParameter', 'EmptyParameter'], [u'Voyager', u'go', 'EmptyParameter', u'mode', u'into']]|||[['<VESSEL>0', 'function-105.2.1', 'EmptyParameter', "Synset('atom.n.01')", u'out'], ['<VESSEL>0', 'urge-58.1-1', u'escape-51.1-1', 'EmptyParameter', 'EmptyParameter'], ['<VESSEL>0', u'escape-51.1-1', 'EmptyParameter', "Synset('statistic.n.01')", u'into']]|||The USS Voyager is running out of deuterium as a fuel and is forced to go into Gray mode.|||the <VESSEL>0 is running out of Synset('atom.n.01') as a Synset('matter.n.03') and is forced to go into Synset('horse.n.01') Synset('statistic.n.01').

Stories end with <EOS> (end of story) tag on its own line
On the line after <EOS>, there is a defaultdict of entities found in the story by tag and in order (e.g. the second entity in the "<ORGANIZATION>" list in the dictionary would be <ORGANIZATION>1 in the story above—index starts at 0). These lines start with "%%%%%%%%%%%%%%%%%".

e.g., %%%%%%%%%%%%%%%%%defaultdict(<type 'list'>, {'<ORGANIZATION>': ['seven of nine', 'silver blood'], '<LOCATION>': ['sickbay', 'astrometrics', 'paris', 'cavern', 'vorik', 'caves'], '<DATE>': ['an hour ago', 'now'], '<MISC>': ['selected works', 'demon class', 'electromagnetic', 'parises', 'mimetic'], '<DURATION>': ['less than a week', 'the past four years', 'thirty seconds', 'an hour', 'two hours'], '<NUMBER>': ['two', 'dozen', '14', '15'], '<ORDINAL>': ['first'], '<PERSON>': ['tom paris', 'harry kim', 'captain kathryn janeway', 'tuvok', 'chakotay', 'jirex', 'neelix', 'the doctor', 'seven', 'ensign kashimuro nozawa', 'green', 'lt jg elanna torres', 'ensign vorik'], '<VESSEL>': ['uss voyager', 'starfleet']})

Files in Test-Train-Val Directory

File names: all-sci-fi-val.txt, all-sci-fi-test.txt, & all-sci-fi-train.txt
Each line of the stories contains data in the format: 5-tuple events in a list ||| generalized 5-tuple events in a list ||| original sentence ||| generalized sentence

No <EOS> tags or dictionary.
Separated 80-10-10 for train-test-val, but by story instead of individual lines.

Files in Input_OutputFiles Directory

Files ending with *_input.txt

5-tuple generalized event on each line; formatted as a string instead of a list

e.g., <VESSEL>0 function-105.2.1 EmptyParameter Synset('atom.n.01') out

Files ending with *_output.txt

Corresponding generalized sentence for events in the matching _input.txt file

e.g., the <VESSEL>0 is running out of Synset('atom.n.01') as a Synset('matter.n.03') and is forced to go into Synset('horse.n.01') Synset('statistic.n.01').

Files in OriginalStoriesSeparated Directory

Contains unedited, unparsed original stories scraped from the respective Fandom wikis.
Each line is a story with sentences space-separated. After each story, there is a <EOS> tag on a new line.
There is one file for each of the 11 domains listed above.

Additional Information

Citation

@inproceedings{Ammanabrolu2020AAAI, 
title={Story Realization: Expanding Plot Events into Sentences}, 
author={Prithviraj Ammanabrolu and Ethan Tien and Wesley Cheung and Zhaochen Luo and William Ma and Lara J. Martin and Mark O. Riedl}, 
journal={Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)}, 
year={2020}, 
volume={34},
number={05},
url={https://ojs.aaai.org//index.php/AAAI/article/view/6232}
}

Licensing

The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/

Datasets:

lara-martin
/

Scifi_TV_Shows