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Dataset: crd3 🏷
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from datasets import load_dataset dataset = load_dataset("crd3")


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Table of Contents

Dataset Description

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

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Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances


  • 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",
    "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.


  • chunk: a string feature.
  • chunk_id: a int32 feature.
  • turn_start: a int32 feature.
  • turn_end: a int32 feature.
  • alignment_score: a float32 feature.
  • turn_num: a int32 feature.
  • turns: a dictionary feature containing:
    • names: a string feature.
    • utterances: a string feature.

Data Splits Sample Size

name train validation test
default 2942362 2942362 2942362

Dataset Creation

Curation Rationale

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Source Data

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

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}