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--- |
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license: apache-2.0 |
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task_categories: |
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- table-question-answering |
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- question-answering |
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- translation |
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- text2text-generation |
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language: |
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- es |
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tags: |
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- CelebA |
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- Spanish |
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- celebFaces attributes |
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- face detection |
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- face recognition |
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pretty_name: RoBERTa+CelebA training corpus in Spanish |
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size_categories: |
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- 100M<n<1B |
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--- |
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## Dataset Summary |
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This dataset contains 250000 entries made up of a pair of sentences in Spanish and their respective similarity value. This corpus was used in the training of the |
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Sentence-BERT library to improve the efficiency of the RoBERTA-large-bne base model. |
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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. |
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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. |
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First, a translation of the original English text into Spanish was made . |
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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. |
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However, since Spacy library works only with English entries, the similarity between two Spanish sentences has been matched with their respective English pairs. |
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Finally, the final training corpus for RoBERTa is defined by the Spanish text and the similarity score. |
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## Citation information |
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**Citing**: If you used RoBERTa+CelebA in your work, please cite the **[????](???)**: |
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<!--```bib |
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@article{inffus_TINTO, |
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title = {A novel deep learning approach using blurring image techniques for Bluetooth-based indoor localisation}, |
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journal = {Information Fusion}, |
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author = {Reewos Talla-Chumpitaz and Manuel Castillo-Cara and Luis Orozco-Barbosa and Raúl García-Castro}, |
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volume = {91}, |
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pages = {173-186}, |
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year = {2023}, |
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issn = {1566-2535}, |
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doi = {https://doi.org/10.1016/j.inffus.2022.10.011} |
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} |
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```--> |
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## License |
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This dataset is available under the **[Apache License 2.0](https://github.com/manwestc/TINTO/blob/main/LICENSE)**. |
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## Autors |
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- [Eduardo Yauri Lozano](https://github.com/eduar03yauri) |
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- [Manuel Castillo-Cara](https://github.com/manwestc) |
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- [Raúl García-Castro](https://github.com/rgcmme) |
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[*Universidad Nacional de Ingeniería*](https://www.uni.edu.pe/), [*Ontology Engineering Group*](https://oeg.fi.upm.es/), [*Universidad Politécnica de Madrid.*](https://www.upm.es/internacional) |
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## Contributors |
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See the full list of contributors [here](https://github.com/eduar03yauri/DCGAN-text2face-forSpanishs). |
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<kbd><img src="https://www.uni.edu.pe/images/logos/logo_uni_2016.png" alt="Universidad Politécnica de Madrid" width="100"></kbd> |
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<kbd><img src="https://raw.githubusercontent.com/oeg-upm/TINTO/main/assets/logo-oeg.png" alt="Ontology Engineering Group" width="100"></kbd> |
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<kbd><img src="https://raw.githubusercontent.com/oeg-upm/TINTO/main/assets/logo-upm.png" alt="Universidad Politécnica de Madrid" width="100"></kbd> |
