Prepare v2 training dataset and preprocessing workflow#19
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Summary
scripts/preprocess_synthetic.pywith tests to strip<think>/<tool_call>artifacts and reject low-quality synthetic pairs using char/token ratio thresholdsdata/training/{train,valid,test}.jsonlto the sanitized v2 splits and refresh runbook/docs for the new local training + MLflow logging workflow.gitignoreto ignore generated archive and unsanitized training byproducts (data/archive/,data/training/unsanitized_*.jsonl) while keeping sanitized training files trackedTest Plan
ruff check scripts/preprocess_synthetic.py tests/test_preprocess_synthetic.pypytest tests/test_preprocess_synthetic.py