mirror of
https://github.com/run-llama/llama-datasets.git
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update broken link and simplify (#34)
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@@ -41,7 +41,10 @@ set GIT_LFS_SKIP_SMUDGE=1
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git clone https://github.com/<your-github-user-name>/llama-datasets.git # for https
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```
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The high-level steps for adding a llama-dataset are as follows:
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To submit a llama-dataset, follow the [submission template
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notebook](https://github.com/run-llama/llama_index/blob/main/docs/examples/llama_dataset/ragdataset_submission_template.ipynb).
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The high-level steps are:
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1. Create a `LabelledRagDataset` (the initial class of llama-dataset made available on llama-hub)
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2. Generate a baseline result with a RAG system of your own choosing on the
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@@ -50,10 +53,6 @@ The high-level steps for adding a llama-dataset are as follows:
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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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To assist with the submission process, we have prepared a [submission template
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notebook](https://github.com/run-llama/llama_index/blob/nerdai/add_template_nb/docs/examples/llama_dataset/ragdataset_submission_template.ipynb) that walks you through the above-listed steps. We highly recommend
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that you use this template notebook.
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## Usage Pattern
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As mentioned earlier, llama-datasets are mainly used for evaluating RAG systems.
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