Docs missing tutorial using LMDBDatabase and custom properties

[zulissimeta]

#787 highlights that our docs have a hole for users who want to train on molecule properties with custom outputs like homo-lumo gaps.

We should add a simple example to the tutorials, perhaps:

1. download qm9
2. write an ASE db
3. fine-tune a checkpoint for homo-lumo

[siyu-g]

Hi Zach,

Thanks for your quick response. Long time no see! This is Bruno from Noa's group speaking. I would be happy contribute to the tutorial. And I believe during my intern last year, I was able to write the data preprocessing script/documentation to convert both QM9 and OE62 data to the LMDBs, I am just write to ask if the scripts and docs are still available. If so, it would make it a lot easier for me to generate the LMDB, make tutorials, and use the ocp models in further applications.

Thanks,
Bruno

[siyu-g]

Hi,
I am just following up the previous message. Is there any file that I can refer to when trying to train a molecular property?

Bruno

[zulissimeta]

Hi, I am just following up the previous message. Is there any file that I can refer to when trying to train a molecular property?

Bruno

Sorry I missed this!

To write an ASE LMDB:

from fairchem.core.datasets.datasets.lmdb_database import LMDBDatabase

with LMDBDatabase('my_dataset.aselmdb') as db:
    for atoms in atoms_list:
        db.write(atoms)
        # optionally db.write(atoms, data=atoms.info) if you want to store info as data

Then refer to this https://fair-chem.github.io/core/ase_dataset_creation.html for training. We should definitely iterate on this!

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