Add JARVIS_mlearn files

README.md

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+---
+configs:
+- config_name: default
+  data_files: "co/*.parquet"
+- config_name: info
+  data_files: "ds.parquet"
+- config_name: configuration_sets
+  data_files: "cs/*.parquet"
+- config_name: config_set_mapping
+  data_files: "cs_co_map/*.parquet"
+license: cc-by-4.0
+tags:
+- molecular dynamics
+- mlip
+- interatomic potential
+pretty_name: JARVIS mlearn
+---
+### <details><summary>Cite this dataset </summary>Zuo, Y., Chen, C., Li, X., Deng, Z., Chen, Y., Behler, J., Csányi, G., Shapeev, A. V., Thompson, A. P., Wood, M. A., and Ong, S. P. _JARVIS mlearn_. ColabFit, 2023. https://doi.org/10.60732/f3f6ad68</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_g9sra4y8efji_0  
+#### Visit the ColabFit Exchange to search additional datasets by author, description, element content and more.  
+https://materials.colabfit.org
+<br><hr>  
+# Dataset  Name  
+JARVIS mlearn  
+### Description  
+The JARVIS_mlearn dataset is part of the joint automated repository for various integrated simulations (JARVIS) database. This dataset contains configurations from the Organic Materials Database (OMDB): a dataset of 12,500 crystal materials for the purpose of training models for the prediction of properties for complex and lattice-periodic organic crystals with large numbers of atoms per unit cell. Dataset covers 69 space groups, 65 elements; averages 82 atoms per unit cell. This dataset also includes classical force-field inspired descriptors (CFID) for each configuration. JARVIS is a set of tools and collected datasets built to meet current materials design challenges.  
+### Dataset authors  
+Yunxing Zuo, Chi Chen, Xiangguo Li, Zhi Deng, Yiming Chen, Jörg Behler, Gábor Csányi, Alexander V. Shapeev, Aidan P. Thompson, Mitchell A. Wood, Shyue Ping Ong  
+### Publication  
+https://doi.org/10.1021/acs.jpca.9b08723  
+### Original data link  
+https://figshare.com/ndownloader/files/40424156  
+### License  
+CC-BY-4.0  
+### Number of unique molecular configurations  
+1566  
+### Number of atoms  
+115742  
+### Elements included  
+Cu, Ge, Li, Mo, Ni, Si  
+### Properties included  
+energy, atomic forces, 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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+size 5124678

cs/cs_0.parquet

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+size 8009

cs_co_map/cs_co_map_0.parquet

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+oid sha256:fb3d53a38680bd0ed304d39b34ff2e3f5a569d4091c080c86d8019cb1f48ee3d
+size 21541

ds.parquet

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+oid sha256:e0301dc00113e711a317829c6fae658debc0b187a04586f6e6a9bf0eba9bec4b
+size 19483