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license: mit |
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language: |
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- en |
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# Everyday Conversations Fine-Tuning Dataset (LLaMA 3.1 - 2K) |
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## Overview |
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This repository hosts the **Everyday Conversations - LLaMA 3.1 - 2K** dataset, a carefully curated fine-tuning dataset designed for conversational AI models. The dataset was created using the **Kokoro-82M** model, featuring voice samples from the **Amer Fem Voicepack**. |
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## Dataset Link |
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- [Hugging Face Dataset - Everyday Conversations LLaMA 3.1 - 2K](https://huggingface.co/datasets/HuggingFaceTB/everyday-conversations-llama3.1-2k) |
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## Description |
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This dataset is crafted to enhance the conversational abilities of large language models by simulating natural, everyday dialogues. It is ideal for fine-tuning models that require high-quality conversational data in an American female voice. |
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## Features |
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- **Voice Model:** Kokoro-82M |
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- **Voicepack:** af |
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- **Samples:** 2,000 high-quality conversational text and audio pairs |
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- **Language:** English (American accent) |
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