Published July 7, 2016 | Version 1.1.0
Dataset Open

Serial Speakers: a Dataset of TV Series

  • 1. Orkis
  • 2. Université d'Avignon

Description

Description. This dataset consists of 3 TV series with manual annotations:

  1. Breaking Bad: S01--S05 (file 'bb.json');
  2. Game of Thrones: S01--08 (file 'got.json');
  3. House of Cards: S01--S02 (file 'hoc.json').

All three files are in `.json` format and contain TV Series annotated data.

Each TV Series is defined by its name, A TV Series contains seasons, defined by their ids. Every season is made of episodes, defined by their ids, titles, duration and fps. Each episode contains two basic kinds of data: scenes and speech segments. Scenes are defined by starting points and are made of shots (Seasons 1 only).
A shot is defined by:

  • Starting and ending positions.
  • Recurring shot ids.

The speech segments are defined by their:

  • Starting and ending points.
  • Textual content (here encrypted for copyright reasons).
  • Speaker.
  • Possible interlocutors (for the following episodes only: bb: S01E04, S01E06, S02E03, S02E04; got: S01E03, S01E07, S01E08; hoc: S01E01, S01E07, S01E11).

All timestamps are expressed in seconds and are valid for the video files extracted from the commercial DVDs (PAL 25 FPS), with recaps (unannotated) included at the beginning of the House of Cards episodes.

A comprehensive description of the dataset can be found in the following paper:

  • X. Bost, V. Labatut, and G. Linarès, “Serial Speakers: a Dataset of TV Series,” in 12th Language Resources and Evaluation Conference, Marseille, FR, 2020, pp. 4249–4257. ⟨hal-02477736

Source code. If you are interested in the textual content of the dataset, please consider using our text recovering tool on GitHub: https://github.com/bostxavier/Serial-Speakers

Citation. If you use these data or source code, please cite the above article.


@InProceedings{Bost2020,
  author    = {Bost, Xavier and Labatut, Vincent and Linarès, Georges},
  title     = {Serial Speakers: a Dataset of {TV} Series},
  booktitle = {12\textsuperscript{th} Language Resources and Evaluation Conference},
  year      = {2020},
  pages     = {4249-4257},
  address   = {Marseille, FR},
  url= {http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.524.pdf},
}

Files

bb.json

Files (46.8 MB)

Name Size Download all
md5:204fa2c6ce240b4cb5d65e8c97380f60
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md5:e9a82ba2359bab242ef757cfe65bcb8b
20.5 MB Preview Download
md5:ff01eeec1bfe3955c9abb12a7df833da
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Additional details

Related works

Is documented by
Conference paper: https://aclanthology.org/2020.lrec-1.525/ (URL)
Obsoletes
Dataset: 10.6084/m9.figshare.3471839 (DOI)