README.md

metadata

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

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: 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 for adding this dataset.