Summary
Support FeNNol (convert from dpdata LabeledSystem to this format) per requested by the reviewer.
Unit tests are encouraged.
Detailed Description
Below is FeNNol's documentation.
rmd17_aspirin_01.pkl.zip
Dataset structure
The file `rmd17_aspirin_01.pkl' contains a split of the aspirin dataset from the revMD17 dataset. This split contains 1000 structures for training and 50 structures for validation. Energy units are in kcal/mol and distances in Angstroms.
This dataset is formatted to work with FeNNol's training system. You can inspect it with the following Python code:
import pickle
with open('rmd17_aspirin_01.pkl', 'rb') as f:
data = pickle.load(f)
print(data.keys()) # dict_keys(['training', 'validation','description'])
print(len(data['training'])) # 1000
print(len(data['validation'])) # 50
print(data['training'][0].keys()) # dict_keys(['species', 'coordinates', 'formation_energy', 'shifted_energy', 'forces'])
When preparing your own dataset, make sure to use a similar formatting.
Further Information, Files, and Links
No response
Summary
Support FeNNol (convert from dpdata LabeledSystem to this format) per requested by the reviewer.
Unit tests are encouraged.
Detailed Description
Below is FeNNol's documentation.
rmd17_aspirin_01.pkl.zip
Further Information, Files, and Links
No response