
# Dataset Card for "aeslc"

## 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/ryanzhumich/AESLC
- **Paper:** [This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation](https://arxiv.org/abs/1906.03497)
- **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:** 11.64 MB
- **Size of the generated dataset:** 14.95 MB
- **Total amount of disk used:** 26.59 MB

### Dataset Summary

A collection of email messages of employees in the Enron Corporation.

There are two features:
  - email_body: email body text.
  - subject_line: email subject text.

### Supported Tasks and Leaderboards

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Languages

Monolingual English (mainly en-US) with some exceptions.

## Dataset Structure

### Data Instances

#### default

- **Size of downloaded dataset files:** 11.64 MB
- **Size of the generated dataset:** 14.95 MB
- **Total amount of disk used:** 26.59 MB

An example of 'train' looks as follows.
```
{
    "email_body": "B/C\n<<some doc>>\n",
    "subject_line": "Service Agreement"
}
```

### Data Fields

The data fields are the same among all splits.

#### default
- `email_body`: a `string` feature.
- `subject_line`: a `string` feature.

### Data Splits

| name  |train|validation|test|
|-------|----:|---------:|---:|
|default|14436|      1960|1906|

## 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

```
@inproceedings{zhang-tetreault-2019-email,
    title = "This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation",
    author = "Zhang, Rui  and
      Tetreault, Joel",
    booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P19-1043",
    doi = "10.18653/v1/P19-1043",
    pages = "446--456",
}
```

### Contributions

Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun) for adding this dataset.
task_categories:summarization annotations_creators:crowdsourced language_creators:found multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:en license:unknown aspect-based-summarization conversations-summarization multi-document-summarization email-headline-generation arxiv:1906.03497 region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["summarization"], "task_ids": [], "paperswithcode_id": "aeslc", "pretty_name": "AESLC: Annotated Enron Subject Line Corpus", "tags": ["aspect-based-summarization", "conversations-summarization", "multi-document-summarization", "email-headline-generation"], "dataset_info": {"features": [{"name": "email_body", "dtype": "string"}, {"name": "subject_line", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11897245, "num_examples": 14436}, {"name": "validation", "num_bytes": 1659987, "num_examples": 1960}, {"name": "test", "num_bytes": 1383452, "num_examples": 1906}], "download_size": 7948020, "dataset_size": 14940684}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}]}
TAGS
#task_categories-summarization #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-unknown #aspect-based-summarization #conversations-summarization #multi-document-summarization #email-headline-generation #arxiv-1906.03497 #region-us 

Dataset Card for "aeslc"
========================


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: This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation
* Point of Contact:
* Size of downloaded dataset files: 11.64 MB
* Size of the generated dataset: 14.95 MB
* Total amount of disk used: 26.59 MB


### Dataset Summary


A collection of email messages of employees in the Enron Corporation.


There are two features:


* email\_body: email body text.
* subject\_line: email subject text.


### Supported Tasks and Leaderboards


### Languages


Monolingual English (mainly en-US) with some exceptions.


Dataset Structure
-----------------


### Data Instances


#### default


* Size of downloaded dataset files: 11.64 MB
* Size of the generated dataset: 14.95 MB
* Total amount of disk used: 26.59 MB


An example of 'train' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### default


* 'email\_body': a 'string' feature.
* 'subject\_line': 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 @patrickvonplaten, @thomwolf, @lewtun for adding this dataset.



### Dataset Summary


A collection of email messages of employees in the Enron Corporation.


There are two features:


* email\_body: email body text.
* subject\_line: email subject text. ### Supported Tasks and Leaderboards ### Languages


Monolingual English (mainly en-US) with some exceptions.


Dataset Structure
----------------- ### Data Instances #### default


* Size of downloaded dataset files: 11.64 MB
* Size of the generated dataset: 14.95 MB
* Total amount of disk used: 26.59 MB


An example of 'train' looks as follows. ### Data Fields


The data fields are the same among all splits. #### default


* 'email\_body': a 'string' feature.
* 'subject\_line': 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 @patrickvonplaten, @thomwolf, @lewtun for adding this dataset.
TAGS
#task_categories-summarization #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-unknown #aspect-based-summarization #conversations-summarization #multi-document-summarization #email-headline-generation #arxiv-1906.03497 #region-us 
 ### Dataset Summary


A collection of email messages of employees in the Enron Corporation.


There are two features:


* email\_body: email body text.
* subject\_line: email subject text. ### Supported Tasks and Leaderboards ### Languages


Monolingual English (mainly en-US) with some exceptions.


Dataset Structure
----------------- ### Data Instances #### default


* Size of downloaded dataset files: 11.64 MB
* Size of the generated dataset: 14.95 MB
* Total amount of disk used: 26.59 MB


An example of 'train' looks as follows. ### Data Fields


The data fields are the same among all splits. #### default


* 'email\_body': a 'string' feature.
* 'subject\_line': 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 @patrickvonplaten, @thomwolf, @lewtun for adding this dataset.