unsloth-datasets

What problem does it solve?

This Skill streamlines the process of preparing and standardizing diverse datasets for efficient model fine-tuning with Unsloth, ensuring compatibility and enhancing conversational capabilities.

Core Features & Use Cases

• Dataset Standardization: Converts various dataset formats (e.g., ShareGPT, Alpaca) into a unified format compatible with Unsloth.
• Synthetic Data Generation: Extends single-turn datasets into multi-turn conversations to improve a model's ability to handle dialogue.
• Custom Token Handling: Facilitates the addition of new, domain-specific tokens to a model's vocabulary and embeddings.
• Use Case: Prepare a raw ShareGPT dataset for fine-tuning a chat model by standardizing its format, ensuring correct chat templates are applied, and optionally enriching it with synthetic multi-turn examples.

Quick Start

Use the unsloth-datasets skill to standardize the provided ShareGPT data and apply the llama-3 chat template.