dataset_info:
features:
- name: index
dtype: int64
- name: thread_id
dtype: int64
- name: message_id
dtype: int64
- name: author_id
dtype: int64
- name: author_num_posts
dtype: int64
- name: message
dtype: string
- name: character
dtype: string
splits:
- name: train
num_bytes: 216610832
num_examples: 26401
download_size: 58427511
dataset_size: 216610832
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
Deep Dungeons and Dragons
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
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, originally released in 2018 by Annie Louis and Charles Sutton and comprising of transcripts collected from public games at 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.
Citation for source dataset:
@inproceedings{ddd2018, author={Louis, Annie, and Sutton, Charles}, title={{Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts}}, booktitle={The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies}, year={2018}, pages={--}, organization={ACL} }
Credits to IconicAI/DDD, for the original dataset in english