{ "dataset": "BigSolDB 2.0", "train_rows": 75731, "test_rows": 9686, "split_sha256": { "train.csv": "413e60e9b8933922bca640d6c4632e495b3f61c78a7170017c832cfef7cc92a3", "test.csv": "a08c0ea1eebf9ca9bbd55dcb840558464a3234a3ee30337b5ac6b785a8808a93" }, "fixed_geometries_sha256": "5907c1cb3cca494f52ea8225c694542da4c963c201e4a212a9bc75758f2a2d41", "raw_cache_manifest": { "rows": 1334, "atoms": 42528, "width": 4096, "dtype": "float32", "mace_sha256": "fab8b8713c832f31a2a853aaa22fd638be8a369cbf5095e6b3e982a18d10e93a", "description": "Frozen MACE only. Full-precision inputs to learned atomic/geometric preprocessors; no trainable activations cached." }, "published_checkpoint_repository": "Felixb7/rem3di-polar", "published_checkpoint_revision": "09e302f4c77f40ddb8a6f8b3fef464e617faaa83", "prior_results_repository": "Queimo/rem3di-pcqm-epoch2-cosmo", "prior_results_revision": "9266a41fbe3b36afe0615e0c3ba232ca74bdeef7", "kumo": { "size": "large", "checkpoint": "nvidia/Kumo-Tabular", "revision": "v1.0.1", "estimators": 4, "seed": 42, "full_context": 75731, "raw_columns": 1281, "precision": "float16", "query_chunk_size": 128 }, "versions": { "torch": "2.14.1", "numpy": "2.5.4", "pandas": "3.0.3", "structured-data-models": "0.2.1", "scikit-learn": "1.9.0", "rdkit": "2026.9.1" } }