Download eval/judges/classify.py from VirtualLUO/Chronicles-OCR: direct link, hf CLI and curl.
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https://huggingface.co/datasets/VirtualLUO/Chronicles-OCR/resolve/main/eval/judges/classify.py
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710 Bytes
| """字体分类(Classification)打分:exact match。 | |
| GT 端不做任何归一化(输入 jsonl 保证字体名属于七体之一); | |
| Pred 端的解析回退已在 ``prompts/classify.py`` 的 ``extract`` 中处理: | |
| - 严格前缀命中 | |
| - 部分匹配("楷书体" → "楷书") | |
| - 整段最后一次命中(标记 ``fallback=True``) | |
| 因此这里只做严格相等比较。 | |
| """ | |
| from __future__ import annotations | |
| def judge(extract: dict, row: dict) -> dict: | |
| gt = str(row.get("font_type", "") or "").strip() | |
| pred = str((extract or {}).get("category", "") or "").strip() | |
| score = 1.0 if (gt and pred and gt == pred) else 0.0 | |
| return {"score": score, "gt": gt, "pred": pred} | |