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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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