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--- |
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task_categories: |
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- summarization |
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- text-generation |
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language: |
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- en |
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pretty_name: BookSum Summarization Dataset Clean |
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size_categories: |
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- 1K<n<10K |
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configs: |
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- config_name: books |
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data_files: |
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- split: train |
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path: "books/train.jsonl" |
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- split: test |
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path: "books/test.jsonl" |
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- split: validation |
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path: "books/val.jsonl" |
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- config_name: chapters |
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data_files: |
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- split: train |
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path: "chapters/train.jsonl" |
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- split: test |
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path: "chapters/test.jsonl" |
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- split: validation |
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path: "chapters/val.jsonl" |
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--- |
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# Table of Contents |
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1. [Description](#description) |
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2. [Usage](#usage) |
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3. [Distribution](#distribution) |
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- [Chapters Dataset](#chapters-dataset) |
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- [Books Dataset](#books-dataset) |
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4. [Structure](#structure) |
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5. [Results and Comparison with kmfoda/booksum](#results-and-comparison-with-kmfodabooksum) |
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# Description: |
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This repository contains the Booksum dataset introduced in the paper [BookSum: A Collection of Datasets for Long-form Narrative Summarization |
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](https://arxiv.org/abs/2105.08209). |
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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 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. |
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# Usage |
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Note: Make sure you have [>2.14.0 version of "datasets" library](https://github.com/huggingface/datasets/releases/tag/2.14.0) installed to load the dataset successfully. |
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``` |
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from datasets import load_dataset |
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book_data = load_dataset("ubaada/booksum-complete-cleaned", "books") |
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chapter_data = load_dataset("ubaada/booksum-complete-cleaned", "chapters") |
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# Print the 1st book |
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print(book_data["train"][0]['text']) |
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# Print the summary of the 1st book |
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print(book_data["train"][0]['summary'][0]['text']) |
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``` |
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# Distribution |
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<div style="display: inline-block; vertical-align: top; width: 45%;"> |
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## Chapters Dataset |
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| Split | Total Sum. | Missing Sum. | Successfully Processed | Chapters | |
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|---------|------------|--------------|------------------------|------| |
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| Train | 9712 | 178 | 9534 (98.17%) | 5653 | |
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| Test | 1432 | 0 | 1432 (100.0%) | 950 | |
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| Val | 1485 | 0 | 1485 (100.0%) | 854 | |
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</div> |
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<div style="display: inline-block; vertical-align: top; width: 45%; margin-left: 5%;"> |
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## Books Dataset |
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| Split | Total Sum. | Missing Sum. | Successfully Processed | Books | |
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|---------|------------|--------------|------------------------|------| |
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| Train | 314 | 0 | 314 (100.0%) | 151 | |
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| Test | 46 | 0 | 46 (100.0%) | 17 | |
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| Val | 45 | 0 | 45 (100.0%) | 19 | |
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</div> |
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# Structure: |
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``` |
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Chapters Dataset |
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0 - bid (book id) |
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1 - book_title |
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2 - chapter_id |
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3 - text (raw chapter text) |
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4 - summary (list of summaries from different sources) |
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- {source, text (summary), analysis} |
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... |
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5 - is_aggregate (bool) (if true, then the text contains more than one chapter) |
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Books Dataset: |
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0 - bid (book id) |
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1 - title |
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2 - text (raw text) |
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4 - summary (list of summaries from different sources) |
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- {source, text (summary), analysis} |
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... |
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``` |
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# Reults and Comparison with kmfoda/booksum |
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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. |
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