BDXXN/amortized-inference-training
Amortized Inference Training Trajectories Generated trajectories are organized as source_dataset/geometry_id/material_id/trajectory. Each geometry has index.jsonl; the global decisions live under index/. Only records with status == "accepted" and trainable == true passed the recorded legacy topology gate. rejected arrays are intentionally absent. Historical trajectories for which the topology gate was never run are retained as unreviewed and must not be used for training until… See the full description on the dataset page: https://huggingface.co/datasets/BDXXN/amortized-inference-training.
Amortized Inference Training Trajectories
Generated trajectories are organized as source_dataset/geometry_id/material_id/trajectory. Each geometry has index.jsonl; the global decisions live under index/.
Only records with status == "accepted" and trainable == true passed the recorded legacy topology gate. rejected arrays are intentionally absent. Historical trajectories for which the topology gate was never run are retained as unreviewed and must not be used for training until QC is completed. Articulated trajectories without material labels are excluded.
New official NeuROK train/val generation is published separately at https://huggingface.co/datasets/BDXXN/Finetune_neurok.