{
 "id": "oeg/CelebA_Sent2Vect_Sp",
 "owner": "oeg",
 "name": "CelebA_Sent2Vect_Sp",
 "downloads": 50,
 "likes": 0,
 "last_modified": "2024-02-05T12:23:46.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "table-question-answering",
  "question-answering",
  "translation",
  "text2text-generation"
 ],
 "citation": "**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)**:\n\n```bib\n@article{YAURILOZANO2024103667,\ntitle = {Generative Adversarial Networks for text-to-face synthesis & generation: A quantitative–qualitative analysis of Natural Language Processing encoders for Spanish},\njournal = {Information Processing & Management},\nvolume = {61},\nnumber = {3},\npages = {103667},\nyear = {2024},\nissn = {0306-4573},\ndoi = {https://doi.org/10.1016/j.ipm.2024.103667},\nurl = {https://www.sciencedirect.com/science/article/pii/S030645732400027X},\nauthor = {Eduardo Yauri-Lozano and Manuel Castillo-Cara and Luis Orozco-Barbosa and Raúl García-Castro}\n}\n```",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "a089cd182378a054bfe0cd9cca69323f47d982dd",
 "stated_evidence": "https://huggingface.co/datasets/oeg/CelebA_Sent2Vect_Sp/blob/a089cd182378a054bfe0cd9cca69323f47d982dd/README.md",
 "file_evidence": "https://huggingface.co/datasets/oeg/CelebA_Sent2Vect_Sp/tree/a089cd182378a054bfe0cd9cca69323f47d982dd",
 "card_nc": false
}