## About this dataset

The dataset Coh-Metrix-Esp (Cuentos) [(Quispesaravia et al., 2016)](https://aclanthology.org/L16-1745/) is a collection of 100 documents consisting of 50 children fables (“simple” texts) and 50 stories for adults (“complex” texts) scrapped from the web. If you use this data, please credit the original website and our work as well (see citations below).

## Citation 

If you use our splits in your research, please cite our work: "[A Benchmark for Neural Readability Assessment of Texts in Spanish](https://drive.google.com/file/d/1KdwvqrjX8MWYRDGBKeHmiR1NCzDcVizo/view?usp=share_link)". 
```
@inproceedings{vasquez-rodriguez-etal-2022-benchmarking,
    title = "A Benchmark for Neural Readability Assessment of Texts in Spanish",
    author = "V{\'a}squez-Rodr{\'\i}guez, Laura  and
      Cuenca-Jim{\'\e}nez, Pedro-Manuel and
      Morales-Esquivel, Sergio Esteban and
      Alva-Manchego, Fernando",
    booktitle = "Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022), EMNLP 2022",
    month = dec,
    year = "2022",
}
```

#### Coh-Metrix-Esp (Cuentos)
```
@inproceedings{quispesaravia-etal-2016-coh,
    title = "{C}oh-{M}etrix-{E}sp: A Complexity Analysis Tool for Documents Written in {S}panish",
    author = "Quispesaravia, Andre  and
      Perez, Walter  and
      Sobrevilla Cabezudo, Marco  and
      Alva-Manchego, Fernando",
    booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
    month = may,
    year = "2016",
    address = "Portoro{\v{z}}, Slovenia",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://aclanthology.org/L16-1745",
    pages = "4694--4698",
}
```

You can also find more details about the project in our [GitHub](https://github.com/lmvasque/readability-es-benchmark).
license:cc-by-sa-4.0 region:us
{"license": "cc-by-sa-4.0"}
TAGS
#license-cc-by-sa-4.0 #region-us 

## About this dataset

The dataset Coh-Metrix-Esp (Cuentos) (Quispesaravia et al., 2016) is a collection of 100 documents consisting of 50 children fables (“simple” texts) and 50 stories for adults (“complex” texts) scrapped from the web. If you use this data, please credit the original website and our work as well (see citations below).

If you use our splits in your research, please cite our work: "A Benchmark for Neural Readability Assessment of Texts in Spanish". 


#### Coh-Metrix-Esp (Cuentos)


You can also find more details about the project in our GitHub.
## About this dataset

The dataset Coh-Metrix-Esp (Cuentos) (Quispesaravia et al., 2016) is a collection of 100 documents consisting of 50 children fables (“simple” texts) and 50 stories for adults (“complex” texts) scrapped from the web. If you use this data, please credit the original website and our work as well (see citations below).

If you use our splits in your research, please cite our work: "A Benchmark for Neural Readability Assessment of Texts in Spanish". #### Coh-Metrix-Esp (Cuentos)


You can also find more details about the project in our GitHub.
TAGS
#license-cc-by-sa-4.0 #region-us 
 ## About this dataset

The dataset Coh-Metrix-Esp (Cuentos) (Quispesaravia et al., 2016) is a collection of 100 documents consisting of 50 children fables (“simple” texts) and 50 stories for adults (“complex” texts) scrapped from the web. If you use this data, please credit the original website and our work as well (see citations below).

If you use our splits in your research, please cite our work: "A Benchmark for Neural Readability Assessment of Texts in Spanish". #### Coh-Metrix-Esp (Cuentos)


You can also find more details about the project in our GitHub.
passage: TAGS
#license-cc-by-sa-4.0 #region-us 
## About this dataset

The dataset Coh-Metrix-Esp (Cuentos) (Quispesaravia et al., 2016) is a collection of 100 documents consisting of 50 children fables (“simple” texts) and 50 stories for adults (“complex” texts) scrapped from the web. If you use this data, please credit the original website and our work as well (see citations below).

If you use our splits in your research, please cite our work: "A Benchmark for Neural Readability Assessment of Texts in Spanish".#### Coh-Metrix-Esp (Cuentos)


You can also find more details about the project in our GitHub.