MechanophoresResearch/AutoencoderDataset
AutoencoderDataset Data for training molvae — a SELFIES molecular VAE (matryoshka latent) for Bayesian optimization of mechanophores. Two layers: raw/ — the source chemical databases (SMILES/SELFIES, pre-tokenized), as collected. mixes/ — the derived training datasets: weighted, shuffled, materialized token-shard "mixes" built from the raw sources. Each mix is documented by its config + README + build code, so it is fully reproducible. The multi-GB token shards themselves live… See the full description on the dataset page: https://huggingface.co/datasets/MechanophoresResearch/AutoencoderDatase
| Author / organization | MechanophoresResearch |
|---|---|
| Downloads | 369 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 9 October 2024 |
| Last updated at source | 6 July 2026 |
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