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README.md

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 # Everyday Conversations Fine-Tuning Dataset (LLaMA 3.1 - 2K)
 
 ## Overview
-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 af Voicepack.
+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](https://huggingface.co/hexgrad/Kokoro-82M)** model, featuring voice samples from the af Voicepack.
 
 ## Dataset Link
 - [Hugging Face Dataset - Everyday Conversations LLaMA 3.1 - 2K](https://huggingface.co/datasets/HuggingFaceTB/everyday-conversations-llama3.1-2k)
 
-## Description
-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.
-
 ## Features
 - **Voice Model:** Kokoro-82M
-- **Voicepack:** af
-- **Samples:** 2,000 high-quality conversational text and audio pairs
+- **Voicepack:** af (American, Female)
+- **Samples:** 2,000 24kHz conversational text and audio pairs
 - **Language:** English (American accent)