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Signed-off-by: guangli.bao <guangli.bao@daocloud.io>
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docs/datasets.md

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@@ -230,11 +230,11 @@ You can use ShareGPT_V3_unfiltered_cleaned_split.json as benchmark datasets.
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Download and prepare the ShareGPT dataset; You can specify the proportion of data to process by providing a number between 0 and 1 as an argument to the script.
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```bash
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cd src/guidellm/utils && pip install -r requirements.txt && bash prepare_sharegpt_data.sh 1
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cd contrib/sharegpt_preprocess && pip install -r requirements.txt && bash prepare_sharegpt_data.sh 1
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```
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In this example, 1 indicates processing 100% of the dataset. You can adjust this value as needed. Conda env Recommanded to install libs.
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In this example, 1 indicates processing 100% of the dataset. You can adjust this value as needed. Conda env is Recommanded to install libs.
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```bash
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guidellm benchmark \

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