
# OneStopEnglish
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.

This dataset is a version of [onestop_english](https://huggingface.co/datasets/onestop_english), which was randomly split into (64*3=) 192 train examples, and 375 test examples (stratified).
license:cc-by-sa-4.0 region:us
{"license": "cc-by-sa-4.0"}
TAGS
#license-cc-by-sa-4.0 #region-us 


# OneStopEnglish
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.

This dataset is a version of onestop_english, which was randomly split into (64*3=) 192 train examples, and 375 test examples (stratified).
# OneStopEnglish
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.

This dataset is a version of onestop_english, which was randomly split into (64*3=) 192 train examples, and 375 test examples (stratified).
TAGS
#license-cc-by-sa-4.0 #region-us 
 # OneStopEnglish
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.

This dataset is a version of onestop_english, which was randomly split into (64*3=) 192 train examples, and 375 test examples (stratified).
passage: TAGS
#license-cc-by-sa-4.0 #region-us 
# OneStopEnglish
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.

This dataset is a version of onestop_english, which was randomly split into (64*3=) 192 train examples, and 375 test examples (stratified).