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 ????:
@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.
Authors
Ontology Engineering Group, Universidad Politécnica de Madrid.
Contributors
See the full list of contributors here.
