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| 1 |
---
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| 2 |
+
annotations_creators:
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+
- found
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+
language:
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+
- en
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+
language_creators:
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+
- found
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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: ScientificPapers
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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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+
paperswithcode_id: null
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+
tags:
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+
- abstractive-summarization
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+
dataset_info:
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+
- config_name: arxiv
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+
features:
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+
- name: article
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+
dtype: string
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+
- name: abstract
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+
dtype: string
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+
- name: section_names
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+
dtype: string
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+
splits:
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+
- name: train
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+
num_bytes: 7148341992
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+
num_examples: 203037
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+
- name: validation
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+
num_bytes: 217125524
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+
num_examples: 6436
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+
- name: test
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+
num_bytes: 217514961
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+
num_examples: 6440
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+
download_size: 4504646347
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+
dataset_size: 7582982477
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+
- config_name: pubmed
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+
features:
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+
- name: article
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+
dtype: string
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+
- name: abstract
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+
dtype: string
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+
- name: section_names
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+
dtype: string
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+
splits:
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+
- name: train
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+
num_bytes: 2252027383
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| 55 |
+
num_examples: 119924
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| 56 |
+
- name: validation
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+
num_bytes: 127403398
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| 58 |
+
num_examples: 6633
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+
- name: test
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+
num_bytes: 127184448
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| 61 |
+
num_examples: 6658
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+
download_size: 4504646347
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| 63 |
+
dataset_size: 2506615229
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| 64 |
---
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+
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+
# Dataset Card for "scientific_papers"
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+
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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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+
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## Dataset Description
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+
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- **Homepage:**
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+
- **Repository:** https://github.com/armancohan/long-summarization
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+
- **Paper:** [A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents](https://arxiv.org/abs/1804.05685)
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+
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+
- **Size of downloaded dataset files:** 9.01 GB
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+
- **Size of the generated dataset:** 10.09 GB
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+
- **Total amount of disk used:** 19.10 GB
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+
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+
### Dataset Summary
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+
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+
Scientific papers datasets contains two sets of long and structured documents.
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The datasets are obtained from ArXiv and PubMed OpenAccess repositories.
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+
Both "arxiv" and "pubmed" have two features:
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- article: the body of the document, paragraphs separated by "/n".
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- abstract: the abstract of the document, paragraphs separated by "/n".
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+
- section_names: titles of sections, separated by "/n".
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+
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+
### Supported Tasks and Leaderboards
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| 113 |
+
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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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+
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+
### Data Instances
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+
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+
#### arxiv
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+
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+
- **Size of downloaded dataset files:** 4.50 GB
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+
- **Size of the generated dataset:** 7.58 GB
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+
- **Total amount of disk used:** 12.09 GB
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+
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+
An example of 'train' looks as follows.
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+
```
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+
This example was too long and was cropped:
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+
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+
{
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+
"abstract": "\" we have studied the leptonic decay @xmath0 , via the decay channel @xmath1 , using a sample of tagged @xmath2 decays collected...",
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+
"article": "\"the leptonic decays of a charged pseudoscalar meson @xmath7 are processes of the type @xmath8 , where @xmath9 , @xmath10 , or @...",
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+
"section_names": "[sec:introduction]introduction\n[sec:detector]data and the cleo- detector\n[sec:analysys]analysis method\n[sec:conclusion]summary"
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+
}
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```
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#### pubmed
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- **Size of downloaded dataset files:** 4.50 GB
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- **Size of the generated dataset:** 2.51 GB
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- **Total amount of disk used:** 7.01 GB
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+
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+
An example of 'validation' looks as follows.
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```
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+
This example was too long and was cropped:
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+
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+
{
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+
"abstract": "\" background and aim : there is lack of substantial indian data on venous thromboembolism ( vte ) . \\n the aim of this study was...",
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+
"article": "\"approximately , one - third of patients with symptomatic vte manifests pe , whereas two - thirds manifest dvt alone .\\nboth dvt...",
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"section_names": "\"Introduction\\nSubjects and Methods\\nResults\\nDemographics and characteristics of venous thromboembolism patients\\nRisk factors ..."
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}
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```
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+
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### Data Fields
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+
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The data fields are the same among all splits.
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+
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#### arxiv
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- `article`: a `string` feature.
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- `abstract`: a `string` feature.
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- `section_names`: a `string` feature.
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+
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#### pubmed
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- `article`: a `string` feature.
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- `abstract`: a `string` feature.
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- `section_names`: a `string` feature.
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+
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### Data Splits
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+
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| name |train |validation|test|
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|------|-----:|---------:|---:|
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|arxiv |203037| 6436|6440|
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|pubmed|119924| 6633|6658|
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+
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## Dataset Creation
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+
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### Curation Rationale
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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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### Source Data
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+
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#### Initial Data Collection and Normalization
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| 188 |
+
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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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| 190 |
+
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#### Who are the source language producers?
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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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| 194 |
+
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### Annotations
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+
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#### Annotation process
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| 198 |
+
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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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| 200 |
+
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#### Who are the annotators?
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| 202 |
+
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+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
| 204 |
+
|
| 205 |
+
### Personal and Sensitive Information
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| 206 |
+
|
| 207 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
| 208 |
+
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+
## Considerations for Using the Data
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| 210 |
+
|
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+
### Social Impact of Dataset
|
| 212 |
+
|
| 213 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
| 214 |
+
|
| 215 |
+
### Discussion of Biases
|
| 216 |
+
|
| 217 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
| 218 |
+
|
| 219 |
+
### Other Known Limitations
|
| 220 |
+
|
| 221 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
| 222 |
+
|
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+
## Additional Information
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| 224 |
+
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### Dataset Curators
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| 226 |
+
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| 227 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
| 228 |
+
|
| 229 |
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### Licensing Information
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| 230 |
+
|
| 231 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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| 232 |
+
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### Citation Information
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| 234 |
+
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```
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+
@article{Cohan_2018,
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title={A Discourse-Aware Attention Model for Abstractive Summarization of
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Long Documents},
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url={http://dx.doi.org/10.18653/v1/n18-2097},
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DOI={10.18653/v1/n18-2097},
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journal={Proceedings of the 2018 Conference of the North American Chapter of
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the Association for Computational Linguistics: Human Language
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Technologies, Volume 2 (Short Papers)},
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publisher={Association for Computational Linguistics},
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author={Cohan, Arman and Dernoncourt, Franck and Kim, Doo Soon and Bui, Trung and Kim, Seokhwan and Chang, Walter and Goharian, Nazli},
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year={2018}
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}
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```
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### Contributions
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Thanks to [@thomwolf](https://github.com/thomwolf), [@jplu](https://github.com/jplu), [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.
|