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README.md

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 ---
-license: mit
+license: apache-2.0
+task_categories:
+- text2text-generation
+language:
+- fa
+pretty_name: persian-guanaco
+size_categories:
+- 1K<n<10K
 ---
+# Persian OpenAssistant-Guanaco Dataset
+
+## About ZharfaTech
+ZharfaTech is at the forefront of developing advanced Language Learning Models (LLMs) specifically for the Persian language, aiming to empower over 100 million Persian speakers worldwide. Our objective is to bridge the digital gap in services leveraging LLMs, such as content generation, translation, and customer relationship systems, by providing tailored open-source and closed-source LLM solutions. We focus on democratizing access to LLM technology for Persian language users, developers, and businesses, fostering innovation and collaboration within the community.
+
+## Dataset Overview
+This dataset is the Persian translation of the "openassistant-guanaco" dataset, originally found at [https://huggingface.co/datasets/timdettmers/openassistant-guanaco](https://huggingface.co/datasets/timdettmers/openassistant-guanaco). It has been translated to cater to the nuances of the Persian language, utilizing a high-performance local translation model. The translation process was completed in 12 hours using a single Nvidia GPU, ensuring a blend of speed and accuracy.
+
+### Key Features:
+- **Language:** Persian
+- **Source:** Translated from "openassistant-guanaco"
+- **Translation Method:** Local transitional model
+- **Processing Time:** 12 hours on a single Nvidia GPU
+
+## Objective and Scope
+ZharfaTech is dedicated to enhancing the capabilities and reach of LLM technologies for the Persian language through:
+- Development of fine-tuned open-source models for the Persian language.
+- Creation of specialized datasets to support extensive training and refinement.
+- Advanced closed-source model development for specialized solutions.
+
+Our dual approach of fostering community collaboration and providing high-value, specialized solutions aims to advance LLM technologies for the Persian language, making significant strides towards inclusivity and accessibility in digital services.
+
+## How to Use This Dataset
+This dataset is intended for researchers, developers, and businesses interested in developing Persian language capabilities in their LLMs. It can be used to train models for a variety of applications, including but not limited to natural language understanding, content generation, and customer interaction systems.
+
+To access and utilize this dataset, please follow the instructions below:
+1. Visit our dataset page on Hugging Face: [https://huggingface.co/datasets/ZharfaTech/openassistant-guanaco-persian-instruct-fa]
+2. Review the dataset documentation for details on structure and content.
+3. Download the dataset using the provided Hugging Face commands or API.
+
+## Contributing
+We welcome contributions from the community to improve and expand this dataset.
+
+## Acknowledgments
+We extend our gratitude to the creators of the "openassistant-guanaco" dataset for providing the foundation for this translation. Our thanks also go to the dedicated team members who utilized their expertise to ensure the accuracy and relevance of this Persian translation.
+
+## License
+This dataset is available under an apache-2.0 license, aligning with the original "openassistant-guanaco" dataset's licensing terms. For more information, please review the license details on our dataset page.
+
+## Contact Us
+For more information about ZharfaTech and our projects, or if you have any questions regarding this dataset, please contact us at [https://zharfa.tech].
+
+---
+
+ZharfaTech: Empowering Persian language speakers with advanced LLM technology.