This file is automatically generated. It contains the descriptions of each uploaded file as provided by the user.

• old-data-set.tar.gz: training set folder #1
• high-press.tar.gz: training set folder #2
• 640.tar.gz: training set folder #3
• 1120.tar.gz: training set folder #4
• 1120-bis-rec.tar.gz: training set folder #5
• 1240-rec.tar.gz: training set folder #6
• 1360-rec.tar.gz: training set folder #7
• validation_restricted.tar.gz: training set folder #8
• validation_restricted_30k.tar.gz: training set folder #9
• gap_restricted_15k.tar.gz: training set folder #10
• gap_restricted_20k.tar.gz: training set folder #11
• low_npt.tar.gz: training set folder #12
• low_nvt.tar.gz: training set folder #13
• low_npt_ml_T.tar.gz: training set folder #14
• low_npt_ml_0.tar.gz: training set folder #15
• npt_qe_0.tar.gz: training set folder #16
• README-raw-training_set.md: description of the structures in the files with description "training set folder #*"
• minimal_working_example.tar.gz: contains a reduced dataset to prepare the data, train the ML models and run MD simulations using the electron-finite-temperature MLIP
• training_data.tar.gz: all the necessary data to train the ML models (GAP and ML DOS) and compute the repulsive 2-body potential
• PCA-map-liquidH-chemiscope.json.gz: Chemiscope visualization of the training set used to generate an electron-finite-temperature ML interatomic potential for liquid hydrogen at planetary conditions