Add COMP6v2-wB97MV-def2TZVPP files

README.md

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+---
+configs:
+- config_name: default
+  data_files: "co/*.parquet"
+- config_name: info
+  data_files: "ds.parquet"
+license: cc-by-4.0
+tags:
+- molecular dynamics
+- mlip
+- interatomic potential
+pretty_name: COMP6v2-wB97MV-def2TZVPP
+---
+### <details><summary>Cite this dataset </summary>Huddleston, K., Zubatyuk, R., Smith, J., Roitberg, A., Isayev, O., Pickering, I., Devereux, C., and Barros, K. _COMP6v2-wB97MV-def2TZVPP_. ColabFit, 2024. https://doi.org/10.60732/e98b76e7</details>  
+#### This dataset has been curated and formatted for the ColabFit Exchange  
+#### This dataset is also available on the ColabFit Exchange:  
+https://materials.colabfit.org/id/DS_m6etjqhlu40m_0  
+#### Visit the ColabFit Exchange to search additional datasets by author, description, element content and more.  
+https://materials.colabfit.org
+<br><hr>  
+# Dataset  Name  
+COMP6v2-wB97MV-def2TZVPP  
+### Description  
+COMP6v2-wB97MV-def2TZVPP is the portion of COMP6v2 calculated at the wB97MV/def2TZVPP level of theory. COmprehensive Machine-learning Potential (COMP6) Benchmark Suite version 2.0 is an extension of the COMP6 benchmark found in the following repository: https://github.com/isayev/COMP6. COMP6v2 is a data set of density functional properties for molecules containing H, C, N, O, S, F, and Cl. It is available at the following levels of theory: wB97X/631Gd (data used to train model in the ANI-2x paper); wB97MD3BJ/def2TZVPP; wB97MV/def2TZVPP; B973c/def2mTZVP. The 6 subsets from COMP6 (ANI-MD, DrugBank, GDB07to09, GDB10to13 Tripeptides, and s66x8) are contained in each of the COMP6v2 datasets corresponding to the above levels of theory.  
+### Dataset authors  
+Kate Huddleston, Roman Zubatyuk, Justin Smith, Adrian Roitberg, Olexandr Isayev, Ignacio Pickering, Christian Devereux, Kipton Barros  
+### Publication  
+https://doi.org/10.1021/acs.jctc.0c00121  
+### Original data link  
+https://doi.org/10.5281/zenodo.10126157  
+### License  
+CC-BY-4.0  
+### Number of unique molecular configurations  
+156338  
+### Number of atoms  
+3786615  
+### Elements included  
+C, Cl, F, H, N, O, S  
+### Properties included  
+energy, cauchy stress  
+<br>
+<hr>  
+
+# Usage  
+- `ds.parquet` : Aggregated dataset information.  
+- `co/` directory: Configuration rows each include a structure, calculated properties, and metadata.  
+- `cs/` directory : Configuration sets are subsets of configurations grouped by some common characteristic. If `cs/` does not exist, no configurations sets have been defined for this dataset.  
+- `cs_co_map/` directory : The mapping of configurations to configuration sets (if defined).  
+<br>
+#### ColabFit Exchange documentation includes descriptions of content and example code for parsing parquet files:  
+- [Parquet parsing: example code](https://materials.colabfit.org/docs/how_to_use_parquet)  
+- [Dataset info schema](https://materials.colabfit.org/docs/dataset_schema)  
+- [Configuration schema](https://materials.colabfit.org/docs/configuration_schema)  
+- [Configuration set schema](https://materials.colabfit.org/docs/configuration_set_schema)  
+- [Configuration set to configuration mapping schema](https://materials.colabfit.org/docs/cs_co_mapping_schema)  

co/co_0.parquet

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+oid sha256:86111820316e35f3ecf58b939449a98d2ea269161376b0a20af9dbd9dec32163
+size 208946544

ds.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b568443fb14dfc07bbf6f763d6987a9c18bf2a8b2605eba07ed3b0441341346d
+size 19531