data/preprocessed/sft_dream_py_ast/ — AST SFT caches (many runs)
Sibling to sft_dream_py/. Each subfolder is one AST-related preprocessing pipeline (mask policy, depth, random depth, SVEN subsets, etc.), usually containing train.pt, val.pt, meta.json (verify on disk).
Subfolder name patterns (examples)
| Pattern | Meaning (high level) |
|---|---|
ast_depth_masking*, ast_depth_masking_both, ast_depth_masking_min |
Mask variants by AST depth |
ast_depth_masking_invert* |
Inverted or ablation depth masks |
random_depth_masking* |
Random depth masks |
ast_node_masking_* |
Node-level masks |
ast_random_m_* |
Random-AST m experiment series |
*_sven_1_1024, *_sven_bigvul* |
SVEN / Big-Vul scale or subset |
ast_depth_label_learning |
Preprocessing with depth label learning |
We do not add a README in every leaf; for reproduction use that folder’s meta.json and the YAML dataset.preprocessed_dir from the run.