README.md · lara-martin/Scifi_TV_Shows at c7c94d37c0ac793389a686de54b8807fcc08fad4

metadata

language_creators:
  - found
languages:
  - en-US
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 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

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

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').

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

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.

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}, 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/