Dataset Selection

The repository defaults to polished_dataset and retains simplified_dataset as a compatibility option.

Polished schema

Each polished row provides four model inputs:

• theta

• theta_dot

• tau_load

• T

The target is theta_TE. Direction is resolved from the first-level forward or backward folder and is not added to the input tensor.

Command-line selection

Training, validation, smoke-test, visualization, split-export, and campaign entry points expose a --dataset selector:

python -B scripts/training/validate_training_setup.py `
  --config-path config/training/feedforward/presets/trial.yaml `
  --dataset polished_dataset

Use --dataset simplified_dataset to preserve the legacy five-feature contract.

Stage 1 campaign

Validate the prepared polished-dataset smoke campaign without training:

.\scripts\campaigns\cross_wave\run_polished_dataset_stage1_smoke_campaign.ps1 -PreflightOnly