Datasets:
paperswithcode_id: crd3
Dataset Card for "crd3"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://github.com/RevanthRameshkumar/CRD3
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 279.93 MB
- Size of the generated dataset: 4020.33 MB
- Total amount of disk used: 4300.25 MB
Dataset Summary
Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset. Critical Role is an unscripted, live-streamed show where a fixed group of people play Dungeons and Dragons, an open-ended role-playing game. The dataset is collected from 159 Critical Role episodes transcribed to text dialogues, consisting of 398,682 turns. It also includes corresponding abstractive summaries collected from the Fandom wiki. The dataset is linguistically unique in that the narratives are generated entirely through player collaboration and spoken interaction. For each dialogue, there are a large number of turns, multiple abstractive summaries with varying levels of detail, and semantic ties to the previous dialogues.
Supported Tasks and Leaderboards
Languages
Dataset Structure
We show detailed information for up to 5 configurations of the dataset.
Data Instances
default
- Size of downloaded dataset files: 279.93 MB
- Size of the generated dataset: 4020.33 MB
- Total amount of disk used: 4300.25 MB
An example of 'train' looks as follows.
{
"alignment_score": 3.679936647415161,
"chunk": "Wish them a Happy Birthday on their Facebook and Twitter pages! Also, as a reminder: D&D Beyond streams their weekly show (\"And Beyond\") every Wednesday on twitch.tv/dndbeyond.",
"chunk_id": 1,
"turn_end": 6,
"turn_num": 4,
"turn_start": 4,
"turns": {
"names": ["SAM"],
"utterances": ["Yesterday, guys, was D&D Beyond's first one--", "first one-year anniversary. Take two. Hey guys,", "yesterday was D&D Beyond's one-year anniversary.", "Wish them a happy birthday on their Facebook and", "Twitter pages."]
}
}
Data Fields
The data fields are the same among all splits.
default
chunk: astringfeature.chunk_id: aint32feature.turn_start: aint32feature.turn_end: aint32feature.alignment_score: afloat32feature.turn_num: aint32feature.turns: a dictionary feature containing:names: astringfeature.utterances: astringfeature.
Data Splits
| name | train | validation | test |
|---|---|---|---|
| default | 2942362 | 2942362 | 2942362 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
Citation Information
@inproceedings{
title = {Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset},
author = {Rameshkumar, Revanth and Bailey, Peter},
year = {2020},
publisher = {Association for Computational Linguistics},
conference = {ACL}
}
Contributions
Thanks to @thomwolf, @lhoestq, @mariamabarham, @lewtun for adding this dataset.