|
--- |
|
annotations_creators: |
|
- found |
|
language: |
|
- en |
|
language_creators: |
|
- found |
|
license: |
|
- unknown |
|
multilinguality: |
|
- monolingual |
|
pretty_name: ScientificPapers |
|
size_categories: |
|
- 100K<n<1M |
|
source_datasets: |
|
- original |
|
task_categories: |
|
- summarization |
|
task_ids: [] |
|
paperswithcode_id: null |
|
tags: |
|
- abstractive-summarization |
|
dataset_info: |
|
- config_name: arxiv |
|
features: |
|
- name: article |
|
dtype: string |
|
- name: abstract |
|
dtype: string |
|
- name: section_names |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 7148341992 |
|
num_examples: 203037 |
|
- name: validation |
|
num_bytes: 217125524 |
|
num_examples: 6436 |
|
- name: test |
|
num_bytes: 217514961 |
|
num_examples: 6440 |
|
download_size: 4504646347 |
|
dataset_size: 7582982477 |
|
- config_name: pubmed |
|
features: |
|
- name: article |
|
dtype: string |
|
- name: abstract |
|
dtype: string |
|
- name: section_names |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 2252027383 |
|
num_examples: 119924 |
|
- name: validation |
|
num_bytes: 127403398 |
|
num_examples: 6633 |
|
- name: test |
|
num_bytes: 127184448 |
|
num_examples: 6658 |
|
download_size: 4504646347 |
|
dataset_size: 2506615229 |
|
--- |
|
|
|
# Dataset Card for "scientific_papers" |
|
|
|
## Table of Contents |
|
- [Dataset Description](#dataset-description) |
|
- [Dataset Summary](#dataset-summary) |
|
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
|
- [Languages](#languages) |
|
- [Dataset Structure](#dataset-structure) |
|
- [Data Instances](#data-instances) |
|
- [Data Fields](#data-fields) |
|
- [Data Splits](#data-splits) |
|
- [Dataset Creation](#dataset-creation) |
|
- [Curation Rationale](#curation-rationale) |
|
- [Source Data](#source-data) |
|
- [Annotations](#annotations) |
|
- [Personal and Sensitive Information](#personal-and-sensitive-information) |
|
- [Considerations for Using the Data](#considerations-for-using-the-data) |
|
- [Social Impact of Dataset](#social-impact-of-dataset) |
|
- [Discussion of Biases](#discussion-of-biases) |
|
- [Other Known Limitations](#other-known-limitations) |
|
- [Additional Information](#additional-information) |
|
- [Dataset Curators](#dataset-curators) |
|
- [Licensing Information](#licensing-information) |
|
- [Citation Information](#citation-information) |
|
- [Contributions](#contributions) |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:** |
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- **Repository:** https://github.com/armancohan/long-summarization |
|
- **Paper:** [A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents](https://arxiv.org/abs/1804.05685) |
|
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
- **Size of downloaded dataset files:** 9.01 GB |
|
- **Size of the generated dataset:** 10.09 GB |
|
- **Total amount of disk used:** 19.10 GB |
|
|
|
### Dataset Summary |
|
|
|
Scientific papers datasets contains two sets of long and structured documents. |
|
The datasets are obtained from ArXiv and PubMed OpenAccess repositories. |
|
|
|
Both "arxiv" and "pubmed" have two features: |
|
- article: the body of the document, paragraphs separated by "/n". |
|
- abstract: the abstract of the document, paragraphs separated by "/n". |
|
- section_names: titles of sections, separated by "/n". |
|
|
|
### Supported Tasks and Leaderboards |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Languages |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
## Dataset Structure |
|
|
|
### Data Instances |
|
|
|
#### arxiv |
|
|
|
- **Size of downloaded dataset files:** 4.50 GB |
|
- **Size of the generated dataset:** 7.58 GB |
|
- **Total amount of disk used:** 12.09 GB |
|
|
|
An example of 'train' looks as follows. |
|
``` |
|
This example was too long and was cropped: |
|
|
|
{ |
|
"abstract": "\" we have studied the leptonic decay @xmath0 , via the decay channel @xmath1 , using a sample of tagged @xmath2 decays collected...", |
|
"article": "\"the leptonic decays of a charged pseudoscalar meson @xmath7 are processes of the type @xmath8 , where @xmath9 , @xmath10 , or @...", |
|
"section_names": "[sec:introduction]introduction\n[sec:detector]data and the cleo- detector\n[sec:analysys]analysis method\n[sec:conclusion]summary" |
|
} |
|
``` |
|
|
|
#### pubmed |
|
|
|
- **Size of downloaded dataset files:** 4.50 GB |
|
- **Size of the generated dataset:** 2.51 GB |
|
- **Total amount of disk used:** 7.01 GB |
|
|
|
An example of 'validation' looks as follows. |
|
``` |
|
This example was too long and was cropped: |
|
|
|
{ |
|
"abstract": "\" background and aim : there is lack of substantial indian data on venous thromboembolism ( vte ) . \\n the aim of this study was...", |
|
"article": "\"approximately , one - third of patients with symptomatic vte manifests pe , whereas two - thirds manifest dvt alone .\\nboth dvt...", |
|
"section_names": "\"Introduction\\nSubjects and Methods\\nResults\\nDemographics and characteristics of venous thromboembolism patients\\nRisk factors ..." |
|
} |
|
``` |
|
|
|
### Data Fields |
|
|
|
The data fields are the same among all splits. |
|
|
|
#### arxiv |
|
- `article`: a `string` feature. |
|
- `abstract`: a `string` feature. |
|
- `section_names`: a `string` feature. |
|
|
|
#### pubmed |
|
- `article`: a `string` feature. |
|
- `abstract`: a `string` feature. |
|
- `section_names`: a `string` feature. |
|
|
|
### Data Splits |
|
|
|
| name |train |validation|test| |
|
|------|-----:|---------:|---:| |
|
|arxiv |203037| 6436|6440| |
|
|pubmed|119924| 6633|6658| |
|
|
|
## Dataset Creation |
|
|
|
### Curation Rationale |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Source Data |
|
|
|
#### Initial Data Collection and Normalization |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
#### Who are the source language producers? |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Annotations |
|
|
|
#### Annotation process |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
#### Who are the annotators? |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Personal and Sensitive Information |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
## Considerations for Using the Data |
|
|
|
### Social Impact of Dataset |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Discussion of Biases |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Other Known Limitations |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
## Additional Information |
|
|
|
### Dataset Curators |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Licensing Information |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Citation Information |
|
|
|
``` |
|
@article{Cohan_2018, |
|
title={A Discourse-Aware Attention Model for Abstractive Summarization of |
|
Long Documents}, |
|
url={http://dx.doi.org/10.18653/v1/n18-2097}, |
|
DOI={10.18653/v1/n18-2097}, |
|
journal={Proceedings of the 2018 Conference of the North American Chapter of |
|
the Association for Computational Linguistics: Human Language |
|
Technologies, Volume 2 (Short Papers)}, |
|
publisher={Association for Computational Linguistics}, |
|
author={Cohan, Arman and Dernoncourt, Franck and Kim, Doo Soon and Bui, Trung and Kim, Seokhwan and Chang, Walter and Goharian, Nazli}, |
|
year={2018} |
|
} |
|
``` |
|
|
|
### Contributions |
|
|
|
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. |
|
|
