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update readme (#47)
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@@ -53,8 +53,18 @@ The high-level steps are:
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4. Submit a Pull Request to this repo to check in the metadata
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5. Submit a Pull Request to the [llama-datasets repository](https://github.com/run-llama/llama-datasets) to check in the `LabelledRagDataset` and the source files
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(NOTE: you can use the above process for submitting any of our other supported
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types of llama-datasets such as the `LabelledEvaluatorDataset`.)
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## Usage Pattern
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(NOTE: in what follows we present the pattern for producing a RAG benchmark with
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the `RagEvaluatorPack` over a `LabelledRagDataset`. However, there are also other
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types of llama-datasets such as `LabelledEvaluatorDataset` and corresponding llama-packs
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for producing benchmarks on their respective tasks. They all follow the similar
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usage pattern. Please refer to the README's to learn more on each type of
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llama-dataset.)
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As mentioned earlier, llama-datasets are mainly used for evaluating RAG systems.
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To perform the evaluation, the recommended usage pattern involves the application of the
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`RagEvaluatorPack`. We recommend reading the [docs](https://docs.llamaindex.ai/en/stable/module_guides/evaluating/root.html)
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