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20
Paradise Lost
"BOOK I.\n\n\n Of Mans First Disobedience, and the Fruit\n Of that Forbidden Tree, whose mortal (...TRUNCATED)
[{"source":"gradesaver","text":"Milton's epic poem opens on the fiery lake of hell, where Satan and (...TRUNCATED)
1404
The Federalist Papers
"\nGeneral Introduction\n\nFor the Independent Journal. Saturday, October 27, 1787\n\n\nHAMILTON\n\n(...TRUNCATED)
[{"source":"gradesaver","text":"In this paper, Hamilton continues his defense of the union provided (...TRUNCATED)
24761
The Rivals
"[Enter THOMAS; he crosses the stage; FAG follows, looking after him.]\n\nFAG\nWhat! Thomas! sure 't(...TRUNCATED)
[{"source":"gradesaver","text":"The play begins with a preface written by the author, Sheridan, in w(...TRUNCATED)
507
Adam Bede
"\n\nWith a single drop of ink for a mirror, the Egyptian sorcerer undertakes\nto reveal to any chan(...TRUNCATED)
[{"source":"gradesaver","text":"Adam Bede follows four characters in the rural village of Hayslope i(...TRUNCATED)
121
Northanger Abbey
"\n\nNo one who had ever seen Catherine Morland in her infancy would have\nsupposed her born to be a(...TRUNCATED)
[{"source":"gradesaver","text":"As Austen's novel opens, we are introduced to Catherine Moreland, a (...TRUNCATED)
41445
Frankenstein
"I am by birth a Genevese, and my family is one of the most distinguished of that republic. My ances(...TRUNCATED)
[{"source":"gradesaver","text":"Robert Walton, an English adventurer, undertakes an expedition to th(...TRUNCATED)
19810
My Antonia
"\n\nI FIRST heard of Antonia(1) on what seemed to me an interminable journey\nacross the great midl(...TRUNCATED)
[{"source":"shmoop","text":"My Antonia begins with a short fictional introduction told by a nameless(...TRUNCATED)
3420
A Vindication of the Rights of Woman
"\nIn the present state of society, it appears necessary to go back to\nfirst principles in search o(...TRUNCATED)
[{"source":"gradesaver","text":"Mary Wollstonecraft's A Vindication of the Rights of Woman is a trea(...TRUNCATED)
514
Little Women
"\n\"Christmas won't be Christmas without any presents,\" grumbled Jo, lying\non the rug.\n\n\"It's (...TRUNCATED)
[{"source":"gradesaver","text":"Little Women chronicles approximately fifteen years in the life of t(...TRUNCATED)
284
The House of Mirth
"\nSelden paused in surprise. In the afternoon rush of the Grand Central\nStation his eyes had been (...TRUNCATED)
[{"source":"shmoop","text":"Meet Miss Lily Bart. She's 29, beautiful, and poised to marry a rich, bo(...TRUNCATED)

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). Some mismatched summaries have been corrected. Uneccessary columns have been discarded. Contains minimal text-to-summary rows. As there are multiple summaries for a given text, each row contains an array of summaries.

Usage

Note: Make sure you have >2.14.0 version of "datasets" library installed to load the dataset successfully.

from datasets import load_dataset

book_data = load_dataset("ubaada/booksum-complete-cleaned", "books")
chapter_data = load_dataset("ubaada/booksum-complete-cleaned", "chapters")


# Print the 1st book
print(book_data["train"][0]['text'])

# Print the summary of the 1st book 
print(book_data["train"][0]['summary'][0]['text'])

Distribution

Chapters Dataset

Split Total Sum. Missing Sum. Successfully Processed Chapters
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 Books
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) 
  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)
  1 - title
  2 - text (raw text)
  4 - summary (list of summaries from different sources)
      - {source, text (summary), analysis}
      ...

Reults and Comparison with kmfoda/booksum

Tested on the 'test' split of chapter sub-dataset. There are slight improvement on R1/R2 scores compared to another BookSum repo likely due to the work done on cleaning the misalignments in the alignment file. In the plot for this dataset, first summary [0] is chosen for each chapter. If best reference summary is chosen from the list for each chapter, theere are further improvements but are not shown here for fairness. image/png

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Models trained or fine-tuned on ubaada/booksum-complete-cleaned