| | ---
|
| | 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)
|
| |
|
