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title: Contributing A `LabelledRagDataset` | Developer Documentation
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Building a more robust RAG system requires a diversified evaluation suite. That is why we launched `LlamaDatasets` in [llama-hub](https://llamahub.ai). In this page, we discuss how you can contribute the first kind of `LlamaDataset` made available in llama-hub, that is, `LabelledRagDataset`.

Contributing a `LabelledRagDataset` involves two high level steps. Generally speaking, you must create the `LabelledRagDataset`, save it as a json and submit both this json file and the source text files to our [llama-datasets repository](https://github.com/run-llama/llama_datasets). Additionally, you’ll have to make a pull request, to upload required metadata of the dataset to our [llama-hub repository](https://github.com/run-llama/llama-hub).

To help make the submission process a lot smoother, we’ve prepared a template notebook that you can follow to create a `LabelledRagDataset` from scratch (or convert a similarly structured question-answering dataset into one) and perform other required steps to make your submission. Please refer to the “LlamaDataset Submission Template Notebook” linked below.

## Contributing Other llama-datasets

The general process for contributing any of our other llama-datasets such as the `LabelledEvaluatorDataset` is the same as for the `LabelledRagDataset` previously described. Submission templates for these other datasets are coming soon!

## Submission Example

Read the full [submission example Notebook](/python/examples/llama_dataset/ragdataset_submission_template/index.md).