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README.md
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path: parallel/va-es.tsv
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---
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# AMIC_PARALLEL
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## Dataset Summary
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## Funding
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This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the project Desarrollo de Modelos ALIA.
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path: parallel/va-es.tsv
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---
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# AMIC_PARALLEL Dataset
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## Dataset Summary
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## Funding
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This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the project Desarrollo de Modelos ALIA.
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## Acknowledgments
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We would like to express our gratitude to all individuals and institutions that have contributed to the development of this work.
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Special thanks to:
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- [Data providers]
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- [Technological support providers]
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## Reference
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Please cite this model using the following BibTeX format:
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```
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@misc{amic2025parallel,
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author = {Espinosa Zaragoza, Sergio and Sep{\'u}lveda Torres, Robiert and Mu{\~n}oz Guillena, Rafael and Consuegra Ayala, Juan Pablo},
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title = {AMIC\_PARALLEL Dataset},
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year = {2025},
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institution = {Language and Information Systems Group (GPLSI) and Centro de Inteligencia Digital (CENID), University of Alicante (UA)},
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howpublished = {\url{https://huggingface.co/datasets/gplsi/amic_parallel}}
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}
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```
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## Disclaimer
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Be aware that the data may contain biases or other unintended distortions. When third parties deploy systems or provide services based on this data, or use the data themselves, they bear the responsibility for mitigating any associated risks and ensuring compliance with applicable regulations, including those governing the use of Artificial Intelligence.
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The University of Alicante, as the owner and creator of the model, shall not be held liable for any outcomes resulting from third-party use.
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## License
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[Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0)
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