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---
license: apache-2.0
task_categories:
- table-question-answering
- question-answering
- translation
- text2text-generation
language:
- es
tags:
- CelebA
- Spanish
- celebFaces attributes
- face detection
- face recognition
pretty_name: Sent2vec+CelebA training corpus in Spanish
size_categories:
- 100M<n<1B
---

## Main Features

The preprocessing of the corpus for the encoders Sent2vec+CelebA has been to translate into Spanish the captions of the CelebA dataset with the algorithm used in Text2FaceGAN.

Subsequently, a new corpus was created with the translated information having the same structure as the original English version. 

Finally, a training corpus has been generated for Sent2vec+CelebA by performing an information cleaning process on the dataset generated in the previous step. 
In particular, all sentences are combined to generate a larger corpus.

**Citing**: If you used Sent2vec+CelebA in your work, please cite the **[????](???)**:

```bib
@article{inffus_TINTO,
    title = {A novel deep learning approach using blurring image techniques for Bluetooth-based indoor localisation},
    journal = {Information Fusion},
    author = {Reewos Talla-Chumpitaz and Manuel Castillo-Cara and Luis Orozco-Barbosa and Raúl García-Castro},
    volume = {91},
    pages = {173-186},
    year = {2023},
    issn = {1566-2535},
    doi = {https://doi.org/10.1016/j.inffus.2022.10.011}
}
```

## License

This dataset is available under the **[Apache License 2.0](https://github.com/manwestc/TINTO/blob/main/LICENSE)**.

## Authors

- **[Eduardo Yauri Lozano](https://github.com/eduar03yauri)**
- **[Manuel Castillo-Cara](https://github.com/manwestc)**
- **[Raúl García-Castro](https://github.com/rgcmme)**

*[Ontology Engineering Group](https://oeg.fi.upm.es)*, *[Universidad Politécnica de Madrid](https://www.upm.es/internacional)*.

## Contributors

See the full list of contributors **[here](https://github.com/eduar03yauri/DCGAN-text2face-forSpanishs)**.

<kbd><img src="https://raw.githubusercontent.com/oeg-upm/TINTO/main/assets/logo-oeg.png" alt="Ontology Engineering Group" width="200"></kbd> 
<kbd><img src="https://raw.githubusercontent.com/oeg-upm/TINTO/main/assets/logo-upm.png" alt="Universidad Politécnica de Madrid" width="200"></kbd>