JJKK1212/3d-syntree-multidataset
3D-SynTree Verified Production Dataset This dataset contains verified retrosynthetic molecular design trajectories derived from CrossDocked2020 paired with the Enamine 3D-Diversity building-block catalog. Splits Summary: Train Samples: 2194 (1 shards) Validation Samples: 286 (1 shards) Test Samples: 328 (1 shards) Target Pockets: Staged in targets/ for Stage 2 RL & docking benchmarking. Verified Schema: Every sample is a certified real-structure… See the full description on the dataset page: https://huggingface.co/datasets/JJKK1212/3d-syntree-multidataset.
3D-SynTree Verified Production Dataset
This dataset contains verified retrosynthetic molecular design trajectories derived from CrossDocked2020 paired with the Enamine 3D-Diversity building-block catalog.
Splits Summary:
- Train Samples: 2194 (1 shards)
- Validation Samples: 286 (1 shards)
- Test Samples: 328 (1 shards)
- Target Pockets: Staged in
targets/for Stage 2 RL & docking benchmarking.
Verified Schema:
Every sample is a certified real-structure PyTorch Geometric Data object comprising:
pocket_pos,pocket_z,pocket_charge: SE(3) protein pocket point cloud (pH 7.4 formal charges).ligand_pos,ligand_z,ligand_charge: Scaffold heavy atoms at step $t$.handle_features: 64-dimensional chemical feature vector.handle_pos: 3D position vector in the pocket reference frame.target_synthon,target_reaction_family_idx,target_dihedral: Supervised expert actions.is_real_sample: True (100% verified real structures, zero synthetic fallback).
