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 | Description | Data Type | Required | Range |
| --- | --- | --- | --- | --- |
| `folder_name` | Name of the folder containing the saved dataset, located inside the ComfyUI output directory (default: "training_dataset"). | STRING | Yes | N/A |

## Outputs

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

> 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)

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