metadata
task_categories:
- summarization
- text-generation
language:
- en
pretty_name: BookSum Summarization Dataset Clean
size_categories:
- 1K<n<10K
configs:
- config_name: books
data_files: books/*.jsonl
- config_name: chapters
data_files: chapters/*.jsonl
Description:
This repository contains the Booksum dataset introduced in the paper BookSum: A Collection of Datasets for Long-form Narrative Summarization .
This dataset includes both book and chapter summaries from the BookSum dataset (unlike the kmfoda/booksum one which only contains the chapter dataset). Junk information has been discarded. Contains minimal text-to-summary rows. As there are multiple summaries for a given text, each row contains an array of summaries.
Distribution
Chapters Dataset
| Split | Total Sum. | Missing Sum. | Successfully Processed | Rows |
|---|---|---|---|---|
| Train | 9712 | 178 | 9534 (98.17%) | 5653 |
| Test | 1432 | 0 | 1432 (100.0%) | 950 |
| Val | 1485 | 0 | 1485 (100.0%) | 854 |
Books Dataset
| Split | Total Sum. | Missing Sum. | Successfully Processed | Rows |
|---|---|---|---|---|
| Train | 314 | 0 | 314 (100.0%) | 151 |
| Test | 46 | 0 | 46 (100.0%) | 17 |
| Val | 45 | 0 | 45 (100.0%) | 19 |
Structure:
Chapters Dataset
0 - bid (book id) NOT unique for each row
1 - book_title
2 - chapter_id
3 - text (raw chapter text)
4 - summary [] (list of summaries from different sources)
- {source, text (summary), analysis}
...
5 - is_aggregate (bool) (if true, then the text contains more than one chapter)
Books Dataset:
0 - bid (book id) unique for each row
1 - title
2 - text (raw text)
4 - summary [] (list of summaries from different sources)
- {source, text (summary), analysis}
...
Usage
from datasets import load_dataset
book_data = load_dataset("ubaada/booksum-complete-cleaned", "books")
chapter_data = load_dataset("ubaada/booksum-complete-cleaned", "chapters")