
# Dataset Card for OneStopEnglish corpus

## 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:** https://github.com/nishkalavallabhi/OneStopEnglishCorpus
- **Repository:** https://github.com/purvimisal/OneStopCorpus-Compiled/raw/main/Texts-SeparatedByReadingLevel.zip
- **Paper:** https://www.aclweb.org/anthology/W18-0535.pdf
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary
OneStopEnglish is a corpus of texts written at three reading levels, and demonstrates its usefulness for through two applications - automatic readability assessment and automatic text simplification.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

An instance example:
```
{
  "text": "When you see the word Amazon, what’s the first thing you think...",
  "label": 0
}
```

Note that each instance contains the full text of the document.

### Data Fields

- `text`: Full document text. 
- `label`: Reading level of the document- ele/int/adv (Elementary/Intermediate/Advance).

### Data Splits

The OneStopEnglish dataset has a single _train_ split.

| Split | Number of instances |
|-------|--------------------:|
| train | 567                 |

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

Creative Commons Attribution-ShareAlike 4.0 International License

### Citation Information

[More Information Needed]

### Contributions

Thanks to [@purvimisal](https://github.com/purvimisal) for adding this dataset.
task_categories:text2text-generation task_categories:text-classification task_ids:multi-class-classification task_ids:text-simplification annotations_creators:found language_creators:found multilinguality:monolingual size_categories:n<1K source_datasets:original language:en license:cc-by-sa-4.0 region:us
{"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["text2text-generation", "text-classification"], "task_ids": ["multi-class-classification", "text-simplification"], "paperswithcode_id": "onestopenglish", "pretty_name": "OneStopEnglish corpus", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "ele", "1": "int", "2": "adv"}}}}], "splits": [{"name": "train", "num_bytes": 2278043, "num_examples": 567}], "download_size": 1228804, "dataset_size": 2278043}}
TAGS
#task_categories-text2text-generation #task_categories-text-classification #task_ids-multi-class-classification #task_ids-text-simplification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-cc-by-sa-4.0 #region-us 

Dataset Card for OneStopEnglish corpus
======================================


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: URL
* Repository: URL
* Paper: URL
* Leaderboard:
* Point of Contact:


### Dataset Summary


OneStopEnglish is a corpus of texts written at three reading levels, and demonstrates its usefulness for through two applications - automatic readability assessment and automatic text simplification.


### Supported Tasks and Leaderboards


### Languages


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


### Data Instances


An instance example:


Note that each instance contains the full text of the document.


### Data Fields


* 'text': Full document text.
* 'label': Reading level of the document- ele/int/adv (Elementary/Intermediate/Advance).


### Data Splits


The OneStopEnglish dataset has a single *train* split.



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


Creative Commons Attribution-ShareAlike 4.0 International License


### Contributions


Thanks to @purvimisal for adding this dataset.



### Dataset Summary


OneStopEnglish is a corpus of texts written at three reading levels, and demonstrates its usefulness for through two applications - automatic readability assessment and automatic text simplification. ### Supported Tasks and Leaderboards ### Languages


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


An instance example:


Note that each instance contains the full text of the document. ### Data Fields


* 'text': Full document text.
* 'label': Reading level of the document- ele/int/adv (Elementary/Intermediate/Advance). ### Data Splits


The OneStopEnglish dataset has a single *train* split.



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


Creative Commons Attribution-ShareAlike 4.0 International License ### Contributions


Thanks to @purvimisal for adding this dataset.
TAGS
#task_categories-text2text-generation #task_categories-text-classification #task_ids-multi-class-classification #task_ids-text-simplification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-cc-by-sa-4.0 #region-us 
 ### Dataset Summary


OneStopEnglish is a corpus of texts written at three reading levels, and demonstrates its usefulness for through two applications - automatic readability assessment and automatic text simplification. ### Supported Tasks and Leaderboards ### Languages


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


An instance example:


Note that each instance contains the full text of the document. ### Data Fields


* 'text': Full document text.
* 'label': Reading level of the document- ele/int/adv (Elementary/Intermediate/Advance). ### Data Splits


The OneStopEnglish dataset has a single *train* split.



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


Creative Commons Attribution-ShareAlike 4.0 International License ### Contributions


Thanks to @purvimisal for adding this dataset.
passage: TAGS
#task_categories-text2text-generation #task_categories-text-classification #task_ids-multi-class-classification #task_ids-text-simplification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-cc-by-sa-4.0 #region-us 
### Dataset Summary


OneStopEnglish is a corpus of texts written at three reading levels, and demonstrates its usefulness for through two applications - automatic readability assessment and automatic text simplification.### Supported Tasks and Leaderboards### Languages


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


An instance example:


Note that each instance contains the full text of the document.### Data Fields


* 'text': Full document text.
* 'label': Reading level of the document- ele/int/adv (Elementary/Intermediate/Advance).### Data Splits


The OneStopEnglish dataset has a single *train* split.



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


Creative Commons Attribution-ShareAlike 4.0 International License### Contributions


Thanks to @purvimisal for adding this dataset.