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the dataset leaks future information into every sample via per-window normalization. In finetune_base_model.py (line 127) and finetune_base_model.py (line 132), x_mean/x_std are computed from the full window, which already includes the nominal forecast horizon. Both tokenizer and predictor use this same dataset path, so the leakage contaminates the whole pipeline; see finetune_tokenizer.py (line 20) and finetune_tokenizer.py (line 97). If your goal is unseen-future prediction, this is a stop-ship issue.
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