groups list | schema string | sequence_function_without_structure_trainable int64 | totals dict | trimodal_structure_candidate int64 |
|---|---|---|---|---|
[
{
"file_column_presence": {
"annotation_text": 374,
"atom_modalities": 242,
"atom_symbols": 123,
"b_factors": 119,
"backbone_coordinates": 248,
"ca_coordinates": 248,
"chain_ids": 490,
"compound_id": 123,
"content_hash": 374,
"convextok_dag_json": 374,... | toricblm.training_corpus_audit.v1 | 87,960,907 | {
"row_class_counts": {
"graph_fot_trainable": 13227,
"sequence_function_without_structure_trainable": 87960907,
"sequence_only_trainable": 11677608,
"structure_graph": 957804,
"trimodal_structure_candidate": 808578
},
"rows_total": 101418124
} | 808,578 |
ToricBLM dataset state: toricblm-structure-priority-balanced-3day-20260709T185034Z epoch 001
This dataset repo records the exact local training-data state visible to the dynamic epoch launcher. It intentionally stores manifests and audit records rather than duplicating large Parquet shards.
- Special checkpoint:
toricblm-structure-priority-balanced-3day-20260709T185034Z_epoch_001_special_structure_current_step_002000.pt - Checkpoint repo:
AmelieSchreiber/ToricGT_160M_FoT - Curriculum mode:
structure_current - Selected rows:
1382903 - Selected files:
612 - Structure-flow rows:
883191 - Coverage steps:
2000
Files:
available_shards.json: refreshed dataset-state snapshot for this epochtraining_corpus_audit.json: sampled corpus audit produced before training*_epoch_*.env/epoch_data_overrides.env: resolved epoch launch configurationdynamic_epoch_summary.tsv: epoch handoff/checkpoint summarytrain_log_tail.txt: tail of the epoch training log
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