Commit
•
dadefe4
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Parent(s):
Duplicate from xsum
Browse filesCo-authored-by: francky <francky@users.noreply.huggingface.co>
- .gitattributes +27 -0
- README.md +214 -0
- data/XSUM-EMNLP18-Summary-Data-Original.tar.gz +3 -0
- xsum.py +170 -0
.gitattributes
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README.md
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---
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annotations_creators:
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- found
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language_creators:
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- found
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language:
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- en
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license:
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- unknown
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multilinguality:
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- monolingual
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pretty_name: Extreme Summarization (XSum)
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paperswithcode_id: xsum
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size_categories:
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- 100K<n<1M
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source_datasets:
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- original
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task_categories:
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- summarization
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task_ids:
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- news-articles-summarization
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train-eval-index:
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- config: default
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task: summarization
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task_id: summarization
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splits:
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train_split: train
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eval_split: test
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col_mapping:
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document: text
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summary: target
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metrics:
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- type: rouge
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name: Rouge
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dataset_info:
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features:
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- name: document
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dtype: string
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- name: summary
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dtype: string
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- name: id
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dtype: string
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splits:
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- name: train
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num_bytes: 479206608
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num_examples: 204045
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- name: validation
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num_bytes: 26292901
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num_examples: 11332
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- name: test
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num_bytes: 26756165
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num_examples: 11334
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download_size: 257302866
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dataset_size: 532255674
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duplicated_from: xsum
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---
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# Dataset Card for "xsum"
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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- **Homepage:**
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- **Repository:** https://github.com/EdinburghNLP/XSum
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- **Paper:** [Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization](https://arxiv.org/abs/1808.08745)
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- **Point of Contact:** [Shashi Narayan](mailto:shashi.narayan@ed.ac.uk)
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- **Size of downloaded dataset files:** 245.38 MB
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- **Size of the generated dataset:** 507.60 MB
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- **Total amount of disk used:** 752.98 MB
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### Dataset Summary
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|
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Extreme Summarization (XSum) Dataset.
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There are three features:
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- document: Input news article.
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- summary: One sentence summary of the article.
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- id: BBC ID of the article.
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### Supported Tasks and Leaderboards
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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|
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### Languages
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|
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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|
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## Dataset Structure
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### Data Instances
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|
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#### default
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- **Size of downloaded dataset files:** 245.38 MB
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- **Size of the generated dataset:** 507.60 MB
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- **Total amount of disk used:** 752.98 MB
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An example of 'validation' looks as follows.
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```
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{
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"document": "some-body",
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"id": "29750031",
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"summary": "some-sentence"
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}
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```
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### Data Fields
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The data fields are the same among all splits.
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#### default
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- `document`: a `string` feature.
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- `summary`: a `string` feature.
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- `id`: a `string` feature.
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|
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### Data Splits
|
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| name |train |validation|test |
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|-------|-----:|---------:|----:|
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|default|204045| 11332|11334|
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+
|
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## Dataset Creation
|
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+
|
147 |
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### Curation Rationale
|
148 |
+
|
149 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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|
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+
### Source Data
|
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|
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#### Initial Data Collection and Normalization
|
154 |
+
|
155 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
156 |
+
|
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+
#### Who are the source language producers?
|
158 |
+
|
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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+
|
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+
### Annotations
|
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+
|
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+
#### Annotation process
|
164 |
+
|
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+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
166 |
+
|
167 |
+
#### Who are the annotators?
|
168 |
+
|
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+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
170 |
+
|
171 |
+
### Personal and Sensitive Information
|
172 |
+
|
173 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
174 |
+
|
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+
## Considerations for Using the Data
|
176 |
+
|
177 |
+
### Social Impact of Dataset
|
178 |
+
|
179 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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+
|
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+
### Discussion of Biases
|
182 |
+
|
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+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
184 |
+
|
185 |
+
### Other Known Limitations
|
186 |
+
|
187 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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+
|
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## Additional Information
|
190 |
+
|
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### Dataset Curators
|
192 |
+
|
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+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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+
|
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### Licensing Information
|
196 |
+
|
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+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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|
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### Citation Information
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|
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```
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@article{Narayan2018DontGM,
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title={Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization},
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author={Shashi Narayan and Shay B. Cohen and Mirella Lapata},
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journal={ArXiv},
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year={2018},
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volume={abs/1808.08745}
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}
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```
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|
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### Contributions
|
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Thanks to [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@mariamabarham](https://github.com/mariamabarham), [@jbragg](https://github.com/jbragg), [@lhoestq](https://github.com/lhoestq), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.
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data/XSUM-EMNLP18-Summary-Data-Original.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:10b48aa187fc9c904b30f76ca97e2da0de8d3a1238acc26acadef93e2001af90
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size 254582292
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xsum.py
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# coding=utf-8
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# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
|
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#
|
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# http://www.apache.org/licenses/LICENSE-2.0
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#
|
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# Unless required by applicable law or agreed to in writing, software
|
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
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# See the License for the specific language governing permissions and
|
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# limitations under the License.
|
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# Lint as: python3
|
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"""XSum dataset."""
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import json
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import os
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import datasets
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_CITATION = """
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@article{Narayan2018DontGM,
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title={Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization},
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author={Shashi Narayan and Shay B. Cohen and Mirella Lapata},
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journal={ArXiv},
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year={2018},
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volume={abs/1808.08745}
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}
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"""
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_DESCRIPTION = """
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Extreme Summarization (XSum) Dataset.
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There are three features:
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- document: Input news article.
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- summary: One sentence summary of the article.
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- id: BBC ID of the article.
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"""
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# From https://github.com/EdinburghNLP/XSum/issues/12
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_URL_DATA = "data/XSUM-EMNLP18-Summary-Data-Original.tar.gz"
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_URL_SPLITS = (
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"https://raw.githubusercontent.com/EdinburghNLP/XSum/master/XSum-Dataset/XSum-TRAINING-DEV-TEST-SPLIT-90-5-5.json"
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)
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_DOCUMENT = "document"
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_SUMMARY = "summary"
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_ID = "id"
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_REMOVE_LINES = set(
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[
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"Share this with\n",
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"Email\n",
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"Facebook\n",
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"Messenger\n",
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"Twitter\n",
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"Pinterest\n",
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"WhatsApp\n",
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"Linkedin\n",
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"LinkedIn\n",
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"Copy this link\n",
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"These are external links and will open in a new window\n",
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]
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)
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class Xsum(datasets.GeneratorBasedBuilder):
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"""Extreme Summarization (XSum) Dataset."""
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# Version 1.2.0 expands coverage, includes ids, and removes web contents.
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VERSION = datasets.Version("1.2.0")
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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_DOCUMENT: datasets.Value("string"),
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_SUMMARY: datasets.Value("string"),
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_ID: datasets.Value("string"),
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}
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),
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supervised_keys=(_DOCUMENT, _SUMMARY),
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homepage="https://github.com/EdinburghNLP/XSum/tree/master/XSum-Dataset",
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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files_to_download = {"data": _URL_DATA, "splits": _URL_SPLITS}
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downloaded_files = dl_manager.download(files_to_download)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"split_path": downloaded_files["splits"],
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"split_name": "train",
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"data_dir": "bbc-summary-data",
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"files": dl_manager.iter_archive(downloaded_files["data"]),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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gen_kwargs={
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"split_path": downloaded_files["splits"],
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"split_name": "validation",
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"data_dir": "bbc-summary-data",
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"files": dl_manager.iter_archive(downloaded_files["data"]),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"split_path": downloaded_files["splits"],
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"split_name": "test",
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"data_dir": "bbc-summary-data",
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"files": dl_manager.iter_archive(downloaded_files["data"]),
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},
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),
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]
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def _generate_examples(self, split_path, split_name, data_dir, files):
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"""Yields examples."""
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with open(split_path, "r", encoding="utf-8") as f:
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split_ids = json.load(f)
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split_ids = {k: set(v) for k, v in split_ids.items()}
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for path, f in files:
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if not split_ids[split_name]:
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break
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elif path.startswith(data_dir) and path.endswith(".summary"):
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i = os.path.basename(path).split(".")[0]
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if i in split_ids[split_name]:
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split_ids[split_name].remove(i)
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text = "".join(
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[
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line.decode("utf-8")
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for line in f.readlines()
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if line.decode("utf-8") not in _REMOVE_LINES and line.strip()
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]
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)
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# Each file follows below format:
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# [SN]URL[SN]
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# http://somelink
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#
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# [SN]TITLE[SN]
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# some intro
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#
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# [SN]FIRST-SENTENCE[SN]
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# some intro
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#
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# [SN]RESTBODY[SN]
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# text line.
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# another text line.
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# "another text line."
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+
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# According to the following issue, FIRST-SENTENCE
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# is the reference summary and TITLE is unused:
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# https://github.com/EdinburghNLP/XSum/issues/22
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segs = text.split("[SN]")
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yield i, {_DOCUMENT: segs[8].strip(), _SUMMARY: segs[6].strip(), _ID: i}
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