> ## Documentation Index
> Fetch the complete documentation index at: https://docs.comfy.org/llms.txt
> Use this file to discover all available pages before exploring further.

# LoadTrainingDataset - ComfyUI Built-in Node Documentation

> Complete documentation for the LoadTrainingDataset node in ComfyUI. Learn its inputs, outputs, parameters and usage.

> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadTrainingDataset/en.md)

This node loads an encoded training dataset that has been previously saved to disk. It searches for and reads all data shard files from a specified folder within the ComfyUI output directory, then returns the combined latent vectors and conditioning data for use in training workflows.

## Inputs

| Parameter     | Data Type | Required | Range | Description                                                                                                                  |
| ------------- | --------- | -------- | ----- | ---------------------------------------------------------------------------------------------------------------------------- |
| `folder_name` | STRING    | No       | N/A   | Name of the folder containing the saved dataset, located inside the ComfyUI output directory (default: "training\_dataset"). |

## Outputs

| Output Name    | Data Type    | Description                                                                                                |
| -------------- | ------------ | ---------------------------------------------------------------------------------------------------------- |
| `latents`      | LATENT       | A list of latent dictionaries, where each dictionary contains a `"samples"` key with a tensor.             |
| `conditioning` | CONDITIONING | A list of conditioning lists, where each inner list contains conditioning data for a corresponding sample. |