张宗平
722102b335
- SUPPORTED_DATASETS registry: smd/msl/smap/swat/psm (+toy) - load_windows(name,T,stride): sliding windows + per-channel z-score norm -> shapes (N,T,C) and (N,T) - windows_to_qa: anomaly/describe QA pairs from windows (non-empty) - real loaders read data/real/<name>/test.npy (+test_label.npy) or TSMM_DATA_DIR; raise clear FileNotFoundError when absent (testable offline via 'toy') - write_eval_jsonl helper for eval_real.jsonl - tests/test_real_bench.py (7 tests, RED->GREEN) Exit criteria: >=2 datasets load (toy + registry of 5 real); window/label shapes; QA non-empty; missing real data raises clearly.
tsmm
Time-series as a Modality — an experimental, single-GPU multimodal model that treats multivariate time series as an independent modality, jointly injected into a small LLM (Qwen2.5-0.5B) for time-series question answering and reasoning (ChatTS route).
Status
M1 (data pipeline) under construction. See
docs/superpowers/specs/2026-06-29-ts-as-modality-design.md for the design and
docs/superpowers/plans/2026-06-29-ts-as-modality-plan.md for the task plan.
Layout
src/tsmm/ package (data, model, train, eval)
configs/ training / data configs
scripts/ offline generation & training entrypoints
tests/ pytest suite
data/ generated datasets (gitignored)
checkpoints/ model checkpoints (gitignored)
Install (dev)
python3 -m venv .venv
. .venv/bin/activate
pip install -e . # full deps (incl. torch/transformers/peft/...)
# M1-only lightweight install:
pip install numpy tqdm pyyaml pytest && pip install -e . --no-deps