license: apache-2.0
task_categories:
- table-question-answering
- question-answering
- translation
- text2text-generation
- RoBERTa
language:
- es
tags:
- CelebA
- Spanish
- celebFaces attributes
- face detection
- face recognition
- RoBERTa
pretty_name: RoBERTa+CelebA training corpus in Spanish
size_categories:
- 100M<n<1B
Main Features
The training of RoBERTa+CelebA has been performed with a Siamese network that evaluates the similarity of the embeddings generated by the transformer network using the cosine similarity metric.
Therefore, each input of the training data consists of a pair of sentences A and B in English and their respective similarity in the range 0 to 1.
First, a translation of the original English text into Spanish was made . Subsequently, the document structure defines in each line (input) a pair of Spanish sentences and their respective similarity value between 0 and 1 calculated by the Spacy library. However, since Spacy library works only with English entries, the similarity between two Spanish sentences has been matched with their respective English pairs. Finally, the final training corpus for RoBERTa is defined by the Spanish text and the similarity score.
Citing: If you used RoBERTa+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.
