GithubHelp home page GithubHelp logo

script_corpus's Introduction

ScriptCorpus

Dialogue events collection derived from scripts of movies and dramas; for training and testing dialogue / chatbot systems

  1. Basic statistics of dataset (For now. It is increasing now.) 9,423 dialogue events 86,295 turns of speaking (a couple of utterances per turn) / 18,848 speakers

  2. Description of dataset Conversation text data are in the two dataset folers (dataset_type1, 2), and their meta information are in the spreadsheet files (meta_character and meta_dialogueEvent). Both the character names and dialogue scenes are anonymised, so if necessary you need to link the texts and their meta information.

Dataset_type1: inclusive of context texts (지문) Dataset_type2: exclusive of context texts

  • All conversations are between two persons.
  • Sometimes one of them says nothing but shows non-linguistic or paralinguistic expression. and tags represent this type of expression. You can remove or keep them as you want.

Column names of text data files

  • No: serial number
  • serialID: individual scene indicator
  • speaker: person who said ("context" means context text)
  • dialogue: utterance(s) by the speaker

Column names of meta information file (meta_character)

  • No: serial number
  • serialID: individual scene indicator (match with the text data)
  • speaker: person who said ("context" means context text) (match with the text data)
  • gender: the gender of the speaker
  • age: the age group of the speaker
  • occupation: the job of the speaker

Column names of meta information file (meta_dialogeEvent)

  • No: serial number
  • serialID: individual scene indicator (match with the text data)
  • scene_description: the (specific) places where the conversaion takes place
  • place: the place where the conversaion takes place (categorised)
  • purpose: for what the speakers converse (categorised). The mojority of the conversations has no specific purpose.
  • othe_purpose: for what the speakers converse

script_corpus's People

Contributors

amancio-choi avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.