Update app.py

app.py

@@ -22,16 +22,39 @@ As such, developing models that could estimate a text's readability by "looking
 We aim to contribute to the development of **neural models for readability assessment for Spanish**, following previous work for [English](https://aclanthology.org/2021.cl-1.6/) and [Filipino](https://aclanthology.org/2021.ranlp-1.69/).
 
 
-### More Information
+### Dataset
 
-Details about how we trained these models can be found in our [report](https://wandb.ai/readability-es/readability-es/reports/Texts-Readability-Analysis-for-Spanish--VmlldzoxNzU2MDUx).
+We curated a new dataset that combines existing corpora for readability assessment (i.e. [Newsela](https://newsela.com/data)) and texts scraped from webpages aimed at learners of Spanish as a second language. Texts in the Newsela corpus contain the grade level (according to the USA educational system) that they were written for. In the case of scraped texts, we selected webpages that explicitly indicated the [CEFR](https://en.wikipedia.org/wiki/Common_European_Framework_of_Reference_for_Languages) level that each text belongs to.
 
+Each text has two readability labels, according to the following mapping:
+
+|                  |            2-class          |                       3-class                        |
+|------------------|--------------|--------------|-----------------|-----------------|------------------|
+|                  |   *Simple*   |    *Complex* |     *Basic*     |  *Intermediate* |    *Advanced*    |
+| With CERF Levels | A1, A2, B1   | B2, C1, C2   | A1, A2          | B1,B2           | C1,C2            |
+| Newsela Corpus   | Versions 3-4 | Versions 0-1 | Grade Level 2-5 | Grade Level 6-8 | Grade Level 9-12 |
+
+
+In addition, texts in the dataset could be too long to fit in a model. As such, we created two versions of the dataset, dividing each text into [sentences](https://huggingface.co/datasets/hackathon-pln-es/readability-es-sentences) and [paragraphs](https://huggingface.co/datasets/hackathon-pln-es/readability-es-paragraphs).
+
+We also scraped several texts from the ["Corpus de Aprendices del Español" (CAES)](http://galvan.usc.es/caes/). However, due to the time constraints, we leave experiments with it for future work. The data is available [here](https://huggingface.co/datasets/hackathon-pln-es/readability-es-caes).
+
+### Models
+
+Our models are based on [BERTIN](https://huggingface.co/bertin-project). We fine-tuned [bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) in the different versions of our collected dataset. The following models are available:
+
+- [2-class sentence-level ](https://huggingface.co/hackathon-pln-es/readability-es-sentences)
+- [2-class paragraph-level ](https://huggingface.co/hackathon-pln-es/readability-es-paragraphs)
+- [3-class sentence-level](https://huggingface.co/hackathon-pln-es/readability-es-3class-sentences)
+- [3-class paragraph-level](https://huggingface.co/hackathon-pln-es/readability-es-3class-paragraphs)
+
+More details about how we trained these models can be found in our [report](https://wandb.ai/readability-es/readability-es/reports/Texts-Readability-Analysis-for-Spanish--VmlldzoxNzU2MDUx).
 
 ### Team
 
 - [Laura Vásquez-Rodríguez](https://lmvasque.github.io/)
-- Pedro Cuenca
-- Sergio Morales
+- [Pedro Cuenca](https://twitter.com/pcuenq/)
+- [Sergio Morales](https://www.fireblend.com/)
 - [Fernando Alva-Manchego](https://feralvam.github.io/)
 
 """