| # Data interface / 数据接口 |
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| **Published dataset / 发布数据：** images + paired metadata; train/test are separate. |
| Labels and reference annotations must not enter the agent prompt. |
| 图片配套元数据；训练集与测试集分开。标签和参考答案不进入 Agent 输入。 |
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| **Agent input / 推理输入：** `runtime_input/cases.jsonl`, one object per line: |
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| ```json |
| {"case_id":"sample-001","image_path":"images/sample-001.jpg","image_sha256":"<64-character SHA-256>"} |
| ``` |
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| Only these three keys are allowed. Image paths are relative to `runtime_input/`. |
| The package also needs `manifest.json`; use |
| `python -m scripts.prepare_runtime_input --help` to build a local package from |
| metadata containing `case_id` and `image_path`. Other metadata is discarded. |
| 仅保留这三个字段；转换工具不复制标签或私有标注，也不覆盖已有输出。 |
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| **Training / 训练：** SFT consumes reviewed trajectories, not image labels alone. |
| PSD consumes frozen student prefixes, completion tokens, teacher top-k targets, |
| and bound media; hints are teacher-only. |
| SFT 使用审核后的轨迹；PSD 使用冻结前缀、续写 token、教师 top-k 分布及绑定图片。 |
| Judge annotations stay separate. See [training settings](../training/README.md). |
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