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--- |
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annotations_creators: |
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- found |
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language_creators: |
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- found |
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language: |
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- Spanish |
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license: |
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- cc-by-4.0 |
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multilinguality: |
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- monolingual |
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pretty_name: readability-es-sentences |
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size_categories: |
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- unknown |
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source_datasets: |
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- original |
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task_categories: |
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- text-classification |
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task_ids: |
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- text-classification-other-readability |
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--- |
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# Dataset Card for [readability-es-sentences] |
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## Dataset Description |
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Compilation of short Spanish articles for readability assessment. |
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### Dataset Summary |
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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: |
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- **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. |
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- **[kwiziq](https://www.kwiziq.com/):** a language learner assistant |
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- **[hablacultura.com](https://hablacultura.com/):** Spanish resources for students and teachers. We have downloaded the available content in their websites. |
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### Languages |
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Spanish |
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## Dataset Structure |
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The dataset includes 1019 text entries between 80 and 8714 characters long. The vast majority (97%) are below 4,000 characters long. |
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### Data Fields |
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The dataset is formatted as a json lines and includes the following fields: |
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- **Category:** when available, this includes the level of this text according to the Common European Framework of Reference for Languages (CEFR). |
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- **Level:** standardized readability level: complex or simple. |
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- **Level-3:** standardized readability level: basic, intermediate or advanced |
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- **Text:** original text formatted into sentences. |
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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. |
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## Additional Information |
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### Licensing Information |
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https://creativecommons.org/licenses/by-nc-sa/4.0/ |
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### Citation Information |
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Please cite this page to give credit to the authors :) |
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### Team |
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- [Laura Vásquez-Rodríguez](https://lmvasque.github.io/) |
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- [Pedro Cuenca](https://twitter.com/pcuenq) |
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- [Sergio Morales](https://www.fireblend.com/) |
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- [Fernando Alva-Manchego](https://feralvam.github.io/) |
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