# Load Datasets

If you don't intend to use the vector database scanner, you can skip this step.

Embeddings are currently available with three models, or you can bring your own dataset.

* `text-embedding-ada-002`
* `all-MiniLM-L6-v2`
* `all-mpnet-base-v2`

If there is a model you'd like to see added, feel free to [open a Github Issue](https://github.com/deadbits/vigil-llm/issues).

{% tabs %}
{% tab title="text-embedding-ada-002" %}

| Repo                                                                                                          |
| ------------------------------------------------------------------------------------------------------------- |
| [vigil-instruction-bypass-ada-002](https://huggingface.co/datasets/deadbits/vigil-instruction-bypass-ada-002) |
| [vigil-jailbreaks-ada-002](https://huggingface.co/datasets/deadbits/vigil-jailbreak-ada-002)                  |
| {% endtab %}                                                                                                  |

{% tab title="all-MiniLM-L6-v2" %}

| Repo                                                                                                                            |
| ------------------------------------------------------------------------------------------------------------------------------- |
| [vigil-instruction-bypass-all-MiniLM-L6-v2](https://huggingface.co/datasets/deadbits/vigil-instruction-bypass-all-MiniLM-L6-v2) |
| [vigil-jailbreaks-all-MiniLM-L6-v2](https://huggingface.co/datasets/deadbits/vigil-jailbreak-all-MiniLM-L6-v2)                  |
| {% endtab %}                                                                                                                    |

{% tab title="all-mpnet-base-v2" %}

| Repo                                                                                                                              |
| --------------------------------------------------------------------------------------------------------------------------------- |
| [vigil-instruction-bypass-all-mpnet-base-v2](https://huggingface.co/datasets/deadbits/vigil-instruction-bypass-all-mpnet-base-v2) |
| [vigil-jailbreak-all-mpnet-base-v2](https://huggingface.co/datasets/deadbits/vigil-jailbreak-all-mpnet-base-v2)                   |
| {% endtab %}                                                                                                                      |
| {% endtabs %}                                                                                                                     |

## **Run loader**

Load the appropriate datasets for your embedding model with the `loader.py` utility.

**Example: OpenAI datasets**

```bash
python loader.py --conf conf/server.conf --dataset deadbits/vigil-instruction-bypass-ada-002
python loader.py --conf conf/server.conf --dataset deadbits/vigil-jailbreak-ada-002
```

You can also load your own datasets from [Hugging Face Hub](https://huggingface.co/datasets) as long as you use the columns:

| Column     | Type         |
| ---------- | ------------ |
| text       | string       |
| embeddings | list\[float] |
| model      | string       |


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://vigil.deadbits.ai/overview/use-vigil/load-datasets.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.