# Table of Contents

## Creating data for training sentence similarity models

These notebooks demonstrate how to create synthetic data for training sentence similarity models.

- [01_dataset_preparation](notebooks/01_dataset_preperation.ipynb) covers the initial processing steps to prepare a dataset for the synthetic dataset creation. This notebook uses [LlamaIndex](https://docs.llamaindex.ai/en/stable/) to chunk texts into sections that will serve as inputs for creating a synthetic dataset.
  [02_synthetic_data_creation.ipynb](notebooks/02_synthetic_data_creation.ipynb): covers synthetic data creation for training sentence similarity models. The notebook uses `Outlines` to generate structured data and `vLLM`` to run the LLM.