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  ## Table of Contents
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  - [Data Description](#data-description)
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- - [Filtered Triplets Schema](#filtered-triplets-schema)
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  - [Normalized Actor State](#normalized-actor-state)
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  - [Additional Information](#additional-information)
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  - [Citation](#citation)
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  ## Data Description
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  **FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information**
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- FIREBALL is a large crowdsourced dataset of people playing Dungeons and Dragons on Discord. In addition to playing the game using natural language (primarily English), players also used a bot called [Avrae](https://avrae.io/). Avrae enables players to keep track of the state of the game by writing commands, which we collected.
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- The data contains nearly 25,000 unique sessions of gameplay, 153,829 turns.
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  * [Published paper](https://aclanthology.org/2023.acl-long.229/)
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- ### Schema
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- Each line contains a filtered schema, each of which includes the following keys:
 
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  ```
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  {
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  "speaker_id": The anonymized user ID of the user who sent the commands in the triple.
 
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  ## Table of Contents
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  - [Data Description](#data-description)
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+ - [DnD Turn Schema](#dnd-turn-schema)
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  - [Normalized Actor State](#normalized-actor-state)
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  - [Additional Information](#additional-information)
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  - [Citation](#citation)
 
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  ## Data Description
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  **FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information**
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+ FIREBALL is a large crowdsourced dataset of people playing Dungeons and Dragons (D&D or DnD) on Discord. In addition to playing the game using natural language (primarily English), players also used a bot called [Avrae](https://avrae.io/). Avrae enables players to keep track of the state of the game by writing commands, which we collected.
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+ This dataset contains nearly 25,000 unique sessions of gameplay, 153,829 turns, and detailed information about people's D&D game turns.
 
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  * [Published paper](https://aclanthology.org/2023.acl-long.229/)
 
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+ ### DnD Turn Schema
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+ Each line of the dataset contains a filtered schema for each conversational turn.
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+ The schema includes the following keys:
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  ```
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  {
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  "speaker_id": The anonymized user ID of the user who sent the commands in the triple.