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--- |
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license: apache-2.0 |
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--- |
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# Preparing OpenMLPerf dataset |
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To process the semi-raw MLPerf data into the OpenMLPerf dataset, run the following command: |
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```bash |
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# Untar raw files |
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bzip2 -d semi-raw-mlperf-data.tar.bz2 |
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tar xvf semi-raw-mlperf-data.tar |
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# Create a virtual environment |
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python -m venv .venv |
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# Activate the virtual environment |
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source .venv/bin/activate |
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# Install the required packages |
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pip install -r requirements.txt |
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# Run the processing script |
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python process.py |
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``` |
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The processed dataset will be saved both as `data.json` and `data.parquet` in the `OpenMLPerf-dataset` directory. |
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The `data.json` file is a JSON file containing the processed data, while the `data.parquet` file is a Parquet file containing the same data in a more efficient format for storage and processing. |
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# Preprocessing raw MLPerf results using MLCommons CMX |
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We preprocess official raw MLPerf data, such as [inference v5.0](https://github.com/mlcommons/inference_results_v5.0), |
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into semi-raw format compatible with the `process.py` script, using the [MLCommons CM/CMX automation framework](https://arxiv.org/abs/2406.16791). |
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This is done using through the ["import mlperf results"](https://github.com/mlcommons/ck/tree/master/cmx4mlops/repo/flex.task/import-mlperf-results) |
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automation action, which we plan to document in more detail soon. |
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# License and Copyright |
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This project is licensed under the [Apache License 2.0](LICENSE.md). |
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© 2025 FlexAI |
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Portions of the data were adapted from the following MLCommons repositories, |
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which are also licensed under the Apache 2.0 license: |
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* [mlcommons@inference_results_v5.0](https://github.com/mlcommons/inference_results_v5.0) |
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* [mlcommons@inference_results_v4.1](https://github.com/mlcommons/inference_results_v4.1) |
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* [mlcommons@inference_results_v4.0](https://github.com/mlcommons/inference_results_v4.0) |
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* [mlcommons@inference_results_v3.1](https://github.com/mlcommons/inference_results_v3.1) |
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# Authors and maintaners |
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[Daniel Altunay](https://www.linkedin.com/in/daltunay) and [Grigori Fursin](https://cKnowledge.org/gfursin) (FCS Labs) |
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