
# Dataset Card for [readability-es-sentences]


## Dataset Description

Compilation of short Spanish articles for readability assessment.

### Dataset Summary

This dataset is a compilation of short articles from websites dedicated to learn Spanish as a second language. These articles have been compiled from the following sources: 
- **Coh-Metrix-Esp corpus (Quispesaravia, et al., 2016):** collection of 100 parallel texts with simple and complex variants in Spanish. These texts include children's and adult stories to fulfill each category.
- **[kwiziq](https://www.kwiziq.com/):** a language learner assistant
- **[hablacultura.com](https://hablacultura.com/):** Spanish resources for students and teachers. We have downloaded the available content in their websites.


### Languages

Spanish

## Dataset Structure

The dataset includes 1019 text entries between 80 and 8714 characters long. The vast majority (97%) are below 4,000 characters long.

### Data Fields

The dataset is formatted as a json lines and includes the following fields:
- **Category:** when available, this includes the level of this text according to the Common European Framework of Reference for Languages (CEFR).
- **Level:** standardized readability level: complex or simple. 
- **Level-3:** standardized readability level: basic, intermediate or advanced
- **Text:** original text formatted into sentences.

Not all the entries contain usable values for `category`, `level` and `level-3`, but all of them should contain at least one of `level`, `level-3`. When the corresponding information could not be derived, we use the special `"N/A"` value to indicate so.

## Additional Information

### Licensing Information

https://creativecommons.org/licenses/by-nc-sa/4.0/

### Citation Information

Please cite this page to give credit to the authors :)

### Team
- [Laura Vásquez-Rodríguez](https://lmvasque.github.io/)
- [Pedro Cuenca](https://twitter.com/pcuenq)
- [Sergio Morales](https://www.fireblend.com/)
- [Fernando Alva-Manchego](https://feralvam.github.io/)


task_categories:text-classification annotations_creators:found language_creators:found multilinguality:monolingual size_categories:unknown source_datasets:original language:es license:cc-by-4.0 readability region:us
{"annotations_creators": ["found"], "language_creators": ["found"], "language": ["es"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": [], "pretty_name": "readability-es-sentences", "tags": ["readability"]}
TAGS
#task_categories-text-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-Spanish #license-cc-by-4.0 #readability #region-us 


# Dataset Card for [readability-es-sentences]


## Dataset Description

Compilation of short Spanish articles for readability assessment.

### Dataset Summary

This dataset is a compilation of short articles from websites dedicated to learn Spanish as a second language. These articles have been compiled from the following sources: 
- Coh-Metrix-Esp corpus (Quispesaravia, et al., 2016): collection of 100 parallel texts with simple and complex variants in Spanish. These texts include children's and adult stories to fulfill each category.
- kwiziq: a language learner assistant
- URL: Spanish resources for students and teachers. We have downloaded the available content in their websites.


### Languages

Spanish

## Dataset Structure

The dataset includes 1019 text entries between 80 and 8714 characters long. The vast majority (97%) are below 4,000 characters long.

### Data Fields

The dataset is formatted as a json lines and includes the following fields:
- Category: when available, this includes the level of this text according to the Common European Framework of Reference for Languages (CEFR).
- Level: standardized readability level: complex or simple. 
- Level-3: standardized readability level: basic, intermediate or advanced
- Text: original text formatted into sentences.

Not all the entries contain usable values for 'category', 'level' and 'level-3', but all of them should contain at least one of 'level', 'level-3'. When the corresponding information could not be derived, we use the special '"N/A"' value to indicate so.

## Additional Information

### Licensing Information

URL



Please cite this page to give credit to the authors :)

### Team
- Laura Vásquez-Rodríguez
- Pedro Cuenca
- Sergio Morales
- Fernando Alva-Manchego


# Dataset Card for [readability-es-sentences] ## Dataset Description

Compilation of short Spanish articles for readability assessment. ### Dataset Summary

This dataset is a compilation of short articles from websites dedicated to learn Spanish as a second language. These articles have been compiled from the following sources: 
- Coh-Metrix-Esp corpus (Quispesaravia, et al., 2016): collection of 100 parallel texts with simple and complex variants in Spanish. These texts include children's and adult stories to fulfill each category.
- kwiziq: a language learner assistant
- URL: Spanish resources for students and teachers. We have downloaded the available content in their websites. ### Languages

Spanish ## Dataset Structure

The dataset includes 1019 text entries between 80 and 8714 characters long. The vast majority (97%) are below 4,000 characters long. ### Data Fields

The dataset is formatted as a json lines and includes the following fields:
- Category: when available, this includes the level of this text according to the Common European Framework of Reference for Languages (CEFR).
- Level: standardized readability level: complex or simple. 
- Level-3: standardized readability level: basic, intermediate or advanced
- Text: original text formatted into sentences.

Not all the entries contain usable values for 'category', 'level' and 'level-3', but all of them should contain at least one of 'level', 'level-3'. When the corresponding information could not be derived, we use the special '"N/A"' value to indicate so. ## Additional Information ### Licensing Information

URL



Please cite this page to give credit to the authors :) ### Team
- Laura Vásquez-Rodríguez
- Pedro Cuenca
- Sergio Morales
- Fernando Alva-Manchego
TAGS
#task_categories-text-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-Spanish #license-cc-by-4.0 #readability #region-us 
 # Dataset Card for [readability-es-sentences] ## Dataset Description

Compilation of short Spanish articles for readability assessment. ### Dataset Summary

This dataset is a compilation of short articles from websites dedicated to learn Spanish as a second language. These articles have been compiled from the following sources: 
- Coh-Metrix-Esp corpus (Quispesaravia, et al., 2016): collection of 100 parallel texts with simple and complex variants in Spanish. These texts include children's and adult stories to fulfill each category.
- kwiziq: a language learner assistant
- URL: Spanish resources for students and teachers. We have downloaded the available content in their websites. ### Languages

Spanish ## Dataset Structure

The dataset includes 1019 text entries between 80 and 8714 characters long. The vast majority (97%) are below 4,000 characters long. ### Data Fields

The dataset is formatted as a json lines and includes the following fields:
- Category: when available, this includes the level of this text according to the Common European Framework of Reference for Languages (CEFR).
- Level: standardized readability level: complex or simple. 
- Level-3: standardized readability level: basic, intermediate or advanced
- Text: original text formatted into sentences.

Not all the entries contain usable values for 'category', 'level' and 'level-3', but all of them should contain at least one of 'level', 'level-3'. When the corresponding information could not be derived, we use the special '"N/A"' value to indicate so. ## Additional Information ### Licensing Information

URL



Please cite this page to give credit to the authors :) ### Team
- Laura Vásquez-Rodríguez
- Pedro Cuenca
- Sergio Morales
- Fernando Alva-Manchego
passage: TAGS
#task_categories-text-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-Spanish #license-cc-by-4.0 #readability #region-us 
# Dataset Card for [readability-es-sentences]## Dataset Description

Compilation of short Spanish articles for readability assessment.### Dataset Summary

This dataset is a compilation of short articles from websites dedicated to learn Spanish as a second language. These articles have been compiled from the following sources: 
- Coh-Metrix-Esp corpus (Quispesaravia, et al., 2016): collection of 100 parallel texts with simple and complex variants in Spanish. These texts include children's and adult stories to fulfill each category.
- kwiziq: a language learner assistant
- URL: Spanish resources for students and teachers. We have downloaded the available content in their websites.### Languages

Spanish## Dataset Structure

The dataset includes 1019 text entries between 80 and 8714 characters long. The vast majority (97%) are below 4,000 characters long.### Data Fields

The dataset is formatted as a json lines and includes the following fields:
- Category: when available, this includes the level of this text according to the Common European Framework of Reference for Languages (CEFR).
- Level: standardized readability level: complex or simple. 
- Level-3: standardized readability level: basic, intermediate or advanced
- Text: original text formatted into sentences.

Not all the entries contain usable values for 'category', 'level' and 'level-3', but all of them should contain at least one of 'level', 'level-3'. When the corresponding information could not be derived, we use the special '"N/A"' value to indicate so.## Additional Information### Licensing Information

URL



Please cite this page to give credit to the authors :)### Team
- Laura Vásquez-Rodríguez
- Pedro Cuenca
- Sergio Morales
- Fernando Alva-Manchego