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