metadata
license: mit
language:
- en
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 Amer Fem Voicepack.
Dataset Link
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
- Language: English (American accent)