| # Data pipeline | |
| Use `data/scripts/preprocess.py` to normalize source JSONL into `{input, label, domain}` records. Use `data/scripts/generate_debate.py` to generate deterministic mock trajectories. Replace the rule-based calls with checkpoint inference for research runs and store JSONL under `data/processed/`. | |
Xet Storage Details
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- 312 Bytes
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- ee4194801db1b4eb8f5a0639a31147b539635cd3ba16c4aaf1165e023a229207
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