---
configs:
- config_name: default
  data_files:
  - split: train
    path: data.parquet
task_categories:
    - text-generation
    - conversational
    - roleplaying
pretty_name: Deep Dungeons and Dragons
dataset_info:
  features:
  - name: thread_id
    dtype: int
  - name: message_id
    dtype: int
  - name: author_id
    dtype: int
  - name: author_num_posts
    dtype: int
  - name: message
    dtype: str
  - name: character
    dtype: str
---

# Deep Dungeons and Dragons

A dataset of long-form multi-turn and multi-character collaborative RPG stories, complete with associated character cards.

This dataset comprises of 56,000 turns in 1544 stories following 9771 characters: a total of **50M Llama tokens**.   
Each turn comprises a multi-paragraph continuation of a story from the perspective of a defined character including both dialogue and prose.

This dataset is a cleaned and reformatted version of [Deep Dungeons and Dragons](https://groups.inf.ed.ac.uk/cup/ddd/), originally released in 2018 by Annie Louis and Charles Sutton and comprising of transcripts collected from public games at [roleplayerguild.com](https://roleplayerguild.com). We've removed images and links (as well as their references) from posts to make this a text-only dataset, as well as anonymising usernames - although this is still available in the original dataset.

### Schema

- **thread_id:** The numeric ID of a specific RPG game.
- **message_id:** The turn within a thread. 
- **author_id:** ID corresponding to the message author.
- **author_num_posts:** The total number of posts by that author - may be usable as a quality signal.
- **message:** The post containing a continuation of the RPG story roleplaying as a specific character. Most of the time, this is a multi-paragraph description containing both prose and dialogue.
- **character:** The character card that this post is role-playing as. This is 1-to-1 mapped to (thread_id, author_id).