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Mar 19, 2026
| ## Online Documentation | ||
| [Click here to read the documentation](https://QuantumPioneer.github.io/tristate20/) | ||
| ## Data provenance | ||
| Log files generated by Gaussian and ORCA were parsed using [generator.py](https://github.com/QuantumPioneer/databases/blob/main/scripts/generator.py) which relies on the [FastLogfileParser](https://github.com/QuantumPioneer/FastLogfileParser) package. The resulting parquet files were further processed using the scripts in [scripts/qm\_results](https://github.com/QuantumPioneer/databases/blob/main/scripts/qm_results). Importantly these scripts matched the atom mapped smiles to the respective data points. |
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| Log files generated by Gaussian and ORCA were parsed using [generator.py](https://github.com/QuantumPioneer/databases/blob/main/scripts/generator.py) which relies on the [FastLogfileParser](https://github.com/QuantumPioneer/FastLogfileParser) package. The resulting parquet files were further processed using the scripts in [scripts/qm\_results](https://github.com/QuantumPioneer/databases/blob/main/scripts/qm_results). Importantly these scripts matched the atom mapped smiles to the respective data points. | |
| Log files generated by Gaussian and ORCA were parsed using [generator.py](https://github.com/QuantumPioneer/databases/blob/main/scripts/generator.py), which relies on the [FastLogfileParser](https://github.com/QuantumPioneer/FastLogfileParser) package. The resulting parquet files were further processed using the scripts in [scripts/qm\_results](https://github.com/QuantumPioneer/databases/blob/main/scripts/qm_results). Importantly, these scripts matched the atom-mapped smiles to the respective data points. |
| <img alt="PyPI - License" src="https://img.shields.io/github/license/QuantumPioneer/tristate20"> | ||
| </p> | ||
| ## Data availability | ||
| The QuantumPioneer datasets are available for download on [Zenodo](). Python notebooks are provided with the datasets to demonstrate how to load the datasets. |
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| The QuantumPioneer datasets are available for download on [Zenodo](). Python notebooks are provided with the datasets to demonstrate how to load the datasets. | |
| The QuantumPioneer datasets are available for download on [Zenodo](). Python notebooks are provided to demonstrate how to load the datasets. |
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Getting the repo ready to be the landing page for the QP databases