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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: Sent2vec+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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## Corpus Summary |
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This corpus has 192050 entries made up of descriptive sentences of the faces of the CelebA dataset. |
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The preprocessing of the corpus has been to translate into Spanish the captions of the CelebA dataset with the algorithm used in [Text2FaceGAN](https://arxiv.org/pdf/1911.11378.pdf). |
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In particular, all sentences are combined to generate a larger corpus. Additionally, a data preprocessing was applied that consists of eliminating stopwords, separation symbols and complementary elements that are not useful for training. |
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Finally, using the Sent2vec library and the corpus, training was done to obtain an encoder model for sentences in the Spanish language. Specifically for captions from the CelebA |
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dataset |
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The training of Sent2vec + CelebA, using the present corpus was developed, resulting in the new model [Sent2vec-CelebA-Sp](https://huggingface.co/oeg/Sent2vec_CelebA_Sp). |
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## Corpus Fields |
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Each corpus entry is composed of: |
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- Descriptive sentence of a face from the CelebA dataset applied the corresponding preprocessing. |
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You can download the file with a _.txt_ or _.csv_ extension as appropriate. |
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## Citation information |
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**Citing**: If you used CelebA_Sent2vec_Sp corpus in your work, please cite the paper publish in **[Information Processing and Management](https://doi.org/10.1016/j.ipm.2024.103667)**: |
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```bib |
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@article{YAURILOZANO2024103667, |
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title = {Generative Adversarial Networks for text-to-face synthesis & generation: A quantitative–qualitative analysis of Natural Language Processing encoders for Spanish}, |
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journal = {Information Processing & Management}, |
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volume = {61}, |
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number = {3}, |
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pages = {103667}, |
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year = {2024}, |
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issn = {0306-4573}, |
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doi = {https://doi.org/10.1016/j.ipm.2024.103667}, |
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url = {https://www.sciencedirect.com/science/article/pii/S030645732400027X}, |
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author = {Eduardo Yauri-Lozano and Manuel Castillo-Cara and Luis Orozco-Barbosa and Raúl García-Castro} |
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} |
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``` |
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## License |
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This corpus 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-forSpanish). |
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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> |
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