Seventeenth-Century Spanish American Notary Records for Fine-Tuning Spanish Large Language Models
<|reference_start|>Seventeenth-Century Spanish American Notary Records for Fine-Tuning Spanish Large Language Models: Large language models have gained tremendous popularity in domains such as e-commerce, finance, healthcare, and education. Fine-tuning is a common approach to customize an LLM on a domain-specific dataset for a desired downstream task. In this paper, we present a valuable resource for fine-tuning LLMs developed for the Spanish language to perform a variety of tasks such as classification, masked language modeling, clustering, and others. Our resource is a collection of handwritten notary records from the seventeenth century obtained from the National Archives of Argentina. This collection contains a combination of original images and transcribed text (and metadata) of 160+ pages that were handwritten by two notaries, namely, Estenban Agreda de Vergara and Nicolas de Valdivia y Brisuela nearly 400 years ago. Through empirical evaluation, we demonstrate that our collection can be used to fine-tune Spanish LLMs for tasks such as classification and masked language modeling, and can outperform pre-trained Spanish models and ChatGPT-3.5/ChatGPT-4o. Our resource will be an invaluable resource for historical text analysis and is publicly available on GitHub.<|reference_end|>
@article{sarker2024seventeenth-century,
    title={Seventeenth-Century Spanish American Notary Records for Fine-Tuning
  Spanish Large Language Models},
    author={Shraboni Sarker, Ahmad Tamim Hamad, Hulayyil Alshammari, Viviana
  Grieco, Praveen Rao},
    journal={arXiv preprint arXiv:2406.05812},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.05812},
    primaryClass={cs.CL cs.AI}
}