## Multi-chapter summaries

The dataset is derived from [BOOKSUM](https://github.com/salesforce/booksum)

The idea here is to make use of the BOOKSUM dataset to finetune models with larger context length (8k+) but very few samples in BOOKSUM have such length.

**Enter multi-chapter summaries!**

The context here comprises multiple chapters taken from the same book appended together to form a larger context length.
The prompt requests a summary from one of the chapters and a summary of the corresponding chapter is present in the `summary` column.

Approximate token length of contexts of 8k version
![chapter_sum](https://github.com/salesforce/booksum/assets/25312635/29d7a1ac-af45-4062-89c4-f2a7b8be9539)

region:us
{}
TAGS
#region-us 

## Multi-chapter summaries

The dataset is derived from BOOKSUM

The idea here is to make use of the BOOKSUM dataset to finetune models with larger context length (8k+) but very few samples in BOOKSUM have such length.

Enter multi-chapter summaries!

The context here comprises multiple chapters taken from the same book appended together to form a larger context length.
The prompt requests a summary from one of the chapters and a summary of the corresponding chapter is present in the 'summary' column.

Approximate token length of contexts of 8k version
!chapter_sum

## Multi-chapter summaries

The dataset is derived from BOOKSUM

The idea here is to make use of the BOOKSUM dataset to finetune models with larger context length (8k+) but very few samples in BOOKSUM have such length.

Enter multi-chapter summaries!

The context here comprises multiple chapters taken from the same book appended together to form a larger context length.
The prompt requests a summary from one of the chapters and a summary of the corresponding chapter is present in the 'summary' column.

Approximate token length of contexts of 8k version
!chapter_sum
TAGS
#region-us 
 ## Multi-chapter summaries

The dataset is derived from BOOKSUM

The idea here is to make use of the BOOKSUM dataset to finetune models with larger context length (8k+) but very few samples in BOOKSUM have such length.

Enter multi-chapter summaries!

The context here comprises multiple chapters taken from the same book appended together to form a larger context length.
The prompt requests a summary from one of the chapters and a summary of the corresponding chapter is present in the 'summary' column.

Approximate token length of contexts of 8k version
!chapter_sum
passage: TAGS
#region-us 
## Multi-chapter summaries

The dataset is derived from BOOKSUM

The idea here is to make use of the BOOKSUM dataset to finetune models with larger context length (8k+) but very few samples in BOOKSUM have such length.

Enter multi-chapter summaries!

The context here comprises multiple chapters taken from the same book appended together to form a larger context length.
The prompt requests a summary from one of the chapters and a summary of the corresponding chapter is present in the 'summary' column.

Approximate token length of contexts of 8k version
!chapter_sum