iastate/onestop_english

---
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: 2278039
num_examples: 567
download_size: 1398139
dataset_size: 2278039
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---

# 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.

原始信息汇总

OneStopEnglish corpus 数据集概述

数据集描述

数据集摘要

OneStopEnglish 是一个包含三种阅读级别的文本语料库，展示了其在自动可读性评估和自动文本简化方面的应用。

支持的任务和排行榜

• 文本到文本生成
• 文本分类
• 多类别分类
• 文本简化

语言

• 英语

数据集结构

数据实例

一个实例示例： json { "text": "When you see the word Amazon, what’s the first thing you think...", "label": 0 }

数据字段

• text: 文档的全文。
• label: 文档的阅读级别 - ele/int/adv (Elementary/Intermediate/Advance)。

数据分割

OneStopEnglish 数据集只有一个 train 分割。

分割	实例数量
train	567

数据集创建

数据集许可信息

Creative Commons Attribution-ShareAlike 4.0 International License