
# 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:**
- **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.

task_categories:summarization annotations_creators:found language_creators:found multilinguality:monolingual size_categories:100K<n<1M source_datasets:original language:en license:unknown abstractive-summarization arxiv:1804.05685 region:us
{"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["summarization"], "task_ids": [], "pretty_name": "ScientificPapers", "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}]}
TAGS
#task_categories-summarization #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-unknown #abstractive-summarization #arxiv-1804.05685 #region-us 

Dataset Card for "scientific\_papers"
=====================================


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
	+ Supported Tasks and Leaderboards
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ Personal and Sensitive Information
* Considerations for Using the Data
	+ Social Impact of Dataset
	+ Discussion of Biases
	+ Other Known Limitations
* Additional Information
	+ Dataset Curators
	+ Licensing Information
	+ Citation Information
	+ Contributions


Dataset Description
-------------------


* Homepage:
* Repository: URL
* Paper: A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
* Point of Contact:
* 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


### Languages


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.


#### 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.


### 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



Dataset Creation
----------------


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


#### Who are the source language producers?


### Annotations


#### Annotation process


#### Who are the annotators?


### Personal and Sensitive Information


Considerations for Using the Data
---------------------------------


### Social Impact of Dataset


### Discussion of Biases


### Other Known Limitations


Additional Information
----------------------


### Dataset Curators


### Licensing Information


### Contributions


Thanks to @thomwolf, @jplu, @lewtun, @patrickvonplaten for adding this dataset.



### 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 ### Languages


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. #### 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. ### 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



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information ### Contributions


Thanks to @thomwolf, @jplu, @lewtun, @patrickvonplaten for adding this dataset.
TAGS
#task_categories-summarization #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-unknown #abstractive-summarization #arxiv-1804.05685 #region-us 
 ### 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 ### Languages


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. #### 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. ### 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



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information ### Contributions


Thanks to @thomwolf, @jplu, @lewtun, @patrickvonplaten for adding this dataset.
passage: TAGS
#task_categories-summarization #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-unknown #abstractive-summarization #arxiv-1804.05685 #region-us 
### 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### Languages


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.#### 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.### 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



Dataset Creation
----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?