Datasets:
Prompt formatting
Every Parquet row preserves the original problem string and the original serialized answer specification. Send the problem through the selected model/experiment's frozen template; do not concatenate the answer specification or support metadata into the prompt.
For the original Qwen Level-1 training interface, Graph, Countdown, Python, and MathIR use qwen_boxed; Pantry uses qwen_pantry_support_mask. The copied code/oat_drgrpo/templates.py preserves the exact template text and Qwen/Falcon role markers. provenance/source_code/ops/check_paper_domain_prompts.py binds the original paper examples to those strings.
Level-2/Level-3 admission uses the versioned interface in provenance/source_code/ops/evaluate_modebench_level2_viability.py and evaluate_modebench_level3.py: Graph uses the direct boxed interface, while the other domains use the registered hybrid solver interface and their legal-output constraints. That admission interface and its model-native tokenizer rendering are distinct from a training experiment's fixed template. Copying a dataset alone does not reproduce a decoder or inference-engine configuration.
The original training and evaluation launchers remain the source of model-specific precision, length limits, guided-decoding profiles, draw seeds, and selected model checkpoints. The files here preserve the shared prompt/template implementation and the dataset rows; they do not silently standardize these experiment-specific choices.