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a8249acc18
* feat(run_eval): add checkpoint resume functionality and update example documentation; - update new bootcamp benchmark dataset * refactor(data_pipeline): optimize data generation pipeline; add multiple preset configurations for data generation * docs: update bootcamp list and add new scripts - Update Fulllist_InternBootcamp.md with new bootcamps and categories - Add new scripts to .gitignore: - examples/pipelines/filter_autogen_configs.py - examples/pipelines/quickgen_data_configs_from_eval_meta.py - Update dependencies in setup.py: - Add scipy and scikit-learn * refactor(internbootcamp): update bootcamp modules and improve error handling - Update import statements in __init__.py files - Add timestamp to target directory name in verl_data_preprocess.py - Improve error handling and scoring logic in bootcamp_judger.py - Remove unnecessary comments and update puzzle descriptions in multiple files
100 lines
121 KiB
JSON
100 lines
121 KiB
JSON
{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 平均红细胞血红蛋白浓度 (MCHC): 330.01 (g/L)\n- 平均血小板体积 (MPV): 18.68 (fL)\n- 大血小板比率 (P-LCR): 1 (%)\n- 血小板体积分数 (PCT): 0.62 (%)\n- 红细胞分布宽度标准差 (RDW-SD): 29.7 (fL)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["平均红细胞血红蛋白浓度", "平均血小板体积", "大血小板比率", "血小板体积分数", "红细胞分布宽度标准差"], "values": [330.01, 18.68, 1, 0.62, 29.7], "unit_values": [1, 1, 1, 1, 1], "unit_names": ["g/L", "fL", "%", "%", "fL"], "ground_truths": [0, 1, -1, 1, -1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 淋巴细胞绝对值 (LYMPH#): 3.57 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["淋巴细胞绝对值"], "values": [3.57], "unit_values": [1000000000.0], "unit_names": ["/L"], "ground_truths": [1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞分布宽度标准差 (RDW-SD): 67.68 (fL)\n- 中性粒细胞绝对值 (NEUT#): 4.89 (1e+09/L)\n- 血小板体积分数 (PCT): 0.09 (%)\n- 血红蛋白 (HGB): 203.51 (g/L)\n- 嗜酸细胞比率 (EO%): 1 (%)\n- 红细胞比容 (HCT): 1 (%)\n- 嗜酸细胞绝对值 (EO#): 0.92 (1e+09/L)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 淋巴细胞绝对值 (LYMPH#): 5.3 (1e+09/L)\n- 血小板 (PLT): 468.06 (1e+09/L)\n- 血小板体积分布宽度 (PDW): 21.39 (fL)\n- 平均红细胞血红蛋白浓度 (MCHC): 296.2 (g/L)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 平均血小板体积 (MPV): 8.34 (fL)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞分布宽度标准差", "中性粒细胞绝对值", "血小板体积分数", "血红蛋白", "嗜酸细胞比率", "红细胞比容", "嗜酸细胞绝对值", "中性粒细胞比率", "淋巴细胞绝对值", "血小板", "血小板体积分布宽度", "平均红细胞血红蛋白浓度", "淋巴细胞比率", "平均血小板体积"], "values": [67.68, 4.89, 0.09, 203.51, 1, 1, 0.92, 1, 5.3, 468.06, 21.39, 296.2, 1, 8.34], "unit_values": [1, 1000000000.0, 1, 1, 1, 1, 1000000000.0, 1, 1000000000.0, 1000000000.0, 1, 1, 1, 1], "unit_names": ["fL", "/L", "%", "g/L", "%", "%", "/L", "%", "/L", "/L", "fL", "g/L", "%", "fL"], "ground_truths": [1, 0, -1, 1, 0, -1, 1, -1, 1, 1, 1, -1, 0, -1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 嗜酸细胞绝对值 (EO#): 0.95 (1e+09/L)\n- 嗜酸细胞比率 (EO%): 1 (%)\n- 白细胞计数 (WBC): 17.97 (1e+09/L)\n- 嗜碱细胞绝对值 (BASO#): 0.06 (1e+09/L)\n- 血小板体积分数 (PCT): 0.16 (%)\n- 单核细胞绝对值 (MONO#): 0.42 (1e+09/L)\n- 淋巴细胞绝对值 (LYMPH#): 5.33 (1e+09/L)\n- 嗜碱细胞比率 (BASO%): 1 (%)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 平均红细胞容积 (MCV): 98.28 (fL)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 大血小板比率 (P-LCR): 1 (%)\n- 中性粒细胞绝对值 (NEUT#): 4.14 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["嗜酸细胞绝对值", "嗜酸细胞比率", "白细胞计数", "嗜碱细胞绝对值", "血小板体积分数", "单核细胞绝对值", "淋巴细胞绝对值", "嗜碱细胞比率", "中性粒细胞比率", "红细胞分布宽度变异系数", "平均红细胞容积", "淋巴细胞比率", "大血小板比率", "中性粒细胞绝对值"], "values": [0.95, 1, 17.97, 0.06, 0.16, 0.42, 5.33, 1, 1, 1, 98.28, 1, 1, 4.14], "unit_values": [1000000000.0, 1, 1000000000.0, 1000000000.0, 1, 1000000000.0, 1000000000.0, 1, 1, 1, 1, 1, 1, 1000000000.0], "unit_names": ["/L", "%", "/L", "/L", "%", "/L", "/L", "%", "%", "%", "fL", "%", "%", "/L"], "ground_truths": [1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 白细胞计数 (WBC): 0.14 (1e+11/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["白细胞计数"], "values": [0.14], "unit_values": [100000000000.0], "unit_names": ["/L"], "ground_truths": [1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 平均红细胞血红蛋白量 (MCH): 33.68 (pg)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["平均红细胞血红蛋白量"], "values": [33.68], "unit_values": [1], "unit_names": ["pg"], "ground_truths": [0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 单核细胞绝对值 (MONO#): 1.02 (1e+09/L)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 血小板体积分布宽度 (PDW): 11.08 (fL)\n- 血小板 (PLT): 124.46 (1e+09/L)\n- 淋巴细胞绝对值 (LYMPH#): 2.99 (1e+09/L)\n- 嗜碱细胞绝对值 (BASO#): 0.09 (1e+09/L)\n- 血红蛋白 (HGB): 75.73 (g/L)\n- 红细胞分布宽度标准差 (RDW-SD): 51.5 (fL)\n- 中性粒细胞绝对值 (NEUT#): 6.18 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["单核细胞绝对值", "红细胞分布宽度变异系数", "血小板体积分布宽度", "血小板", "淋巴细胞绝对值", "嗜碱细胞绝对值", "血红蛋白", "红细胞分布宽度标准差", "中性粒细胞绝对值"], "values": [1.02, 1, 11.08, 124.46, 2.99, 0.09, 75.73, 51.5, 6.18], "unit_values": [1000000000.0, 1, 1, 1000000000.0, 1000000000.0, 1000000000.0, 1, 1, 1000000000.0], "unit_names": ["/L", "%", "fL", "/L", "/L", "/L", "g/L", "fL", "/L"], "ground_truths": [1, 1, 0, -1, 0, 1, -1, 0, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞计数 (RBC): 3.27 (1e+12/L)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 淋巴细胞绝对值 (LYMPH#): 4.02 (1e+09/L)\n- 血红蛋白 (HGB): 149.1 (g/L)\n- 血小板 (PLT): 59.01 (1e+09/L)\n- 血小板体积分数 (PCT): 0.46 (%)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 平均红细胞容积 (MCV): 121.08 (fL)\n- 单核细胞绝对值 (MONO#): 0.03 (1e+09/L)\n- 平均红细胞血红蛋白量 (MCH): 33.39 (pg)\n- 血小板体积分布宽度 (PDW): 17.03 (fL)\n- 红细胞比容 (HCT): 1 (%)\n- 嗜碱细胞比率 (BASO%): 1 (%)\n- 嗜碱细胞绝对值 (BASO#): 0.04 (1e+09/L)\n- 平均红细胞血红蛋白浓度 (MCHC): 259.14 (g/L)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 中性粒细胞绝对值 (NEUT#): 8.02 (1e+09/L)\n- 单核细胞比率 (MONO%): 1 (%)\n- 嗜酸细胞比率 (EO%): 1 (%)\n- 嗜酸细胞绝对值 (EO#): 0.34 (1e+09/L)\n- 平均血小板体积 (MPV): 5.72 (fL)\n- 红细胞分布宽度标准差 (RDW-SD): 69.12 (fL)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞计数", "红细胞分布宽度变异系数", "淋巴细胞绝对值", "血红蛋白", "血小板", "血小板体积分数", "中性粒细胞比率", "平均红细胞容积", "单核细胞绝对值", "平均红细胞血红蛋白量", "血小板体积分布宽度", "红细胞比容", "嗜碱细胞比率", "嗜碱细胞绝对值", "平均红细胞血红蛋白浓度", "淋巴细胞比率", "中性粒细胞绝对值", "单核细胞比率", "嗜酸细胞比率", "嗜酸细胞绝对值", "平均血小板体积", "红细胞分布宽度标准差"], "values": [3.27, 1, 4.02, 149.1, 59.01, 0.46, 1, 121.08, 0.03, 33.39, 17.03, 1, 1, 0.04, 259.14, 1, 8.02, 1, 1, 0.34, 5.72, 69.12], "unit_values": [1000000000000.0, 1, 1000000000.0, 1, 1000000000.0, 1, 1, 1, 1000000000.0, 1, 1, 1, 1, 1000000000.0, 1, 1, 1000000000.0, 1, 1, 1000000000.0, 1, 1], "unit_names": ["/L", "%", "/L", "g/L", "/L", "%", "%", "fL", "/L", "pg", "fL", "%", "%", "/L", "g/L", "%", "/L", "%", "%", "/L", "fL", "fL"], "ground_truths": [-1, 0, 1, 0, -1, 1, 1, 1, -1, 0, 1, -1, 1, 0, -1, 1, 1, 1, 0, 0, -1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞比容 (HCT): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞比容"], "values": [1], "unit_values": [1], "unit_names": ["%"], "ground_truths": [0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞分布宽度标准差 (RDW-SD): 78.35 (fL)\n- 嗜碱细胞绝对值 (BASO#): 0.01 (1e+09/L)\n- 嗜酸细胞比率 (EO%): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞分布宽度标准差", "嗜碱细胞绝对值", "嗜酸细胞比率"], "values": [78.35, 0.01, 1], "unit_values": [1, 1000000000.0, 1], "unit_names": ["fL", "/L", "%"], "ground_truths": [1, 0, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞计数 (RBC): 2.1 (1e+12/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞计数"], "values": [2.1], "unit_values": [1000000000000.0], "unit_names": ["/L"], "ground_truths": [-1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 血红蛋白 (HGB): 205.74 (g/L)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 白细胞计数 (WBC): 7.95 (1e+09/L)\n- 嗜碱细胞比率 (BASO%): 1 (%)\n- 血小板 (PLT): 467.05 (1e+09/L)\n- 平均红细胞血红蛋白量 (MCH): 26.06 (pg)\n- 红细胞计数 (RBC): 7.57 (1e+12/L)\n- 红细胞比容 (HCT): 1 (%)\n- 单核细胞比率 (MONO%): 1 (%)\n- 嗜酸细胞比率 (EO%): 0.36 (%)\n- 平均红细胞容积 (MCV): 60.95 (fL)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 中性粒细胞绝对值 (NEUT#): 9.42 (1e+09/L)\n- 平均血小板体积 (MPV): 16.39 (fL)\n- 血小板体积分布宽度 (PDW): 5.94 (fL)\n- 嗜碱细胞绝对值 (BASO#): 0.05 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["血红蛋白", "中性粒细胞比率", "白细胞计数", "嗜碱细胞比率", "血小板", "平均红细胞血红蛋白量", "红细胞计数", "红细胞比容", "单核细胞比率", "嗜酸细胞比率", "平均红细胞容积", "淋巴细胞比率", "中性粒细胞绝对值", "平均血小板体积", "血小板体积分布宽度", "嗜碱细胞绝对值"], "values": [205.74, 1, 7.95, 1, 467.05, 26.06, 7.57, 1, 1, 0.36, 60.95, 1, 9.42, 16.39, 5.94, 0.05], "unit_values": [1, 1, 1000000000.0, 1, 1000000000.0, 1, 1000000000000.0, 1, 1, 1, 1, 1, 1000000000.0, 1, 1, 1000000000.0], "unit_names": ["g/L", "%", "/L", "%", "/L", "pg", "/L", "%", "%", "%", "fL", "%", "/L", "fL", "fL", "/L"], "ground_truths": [1, 0, 0, 1, 1, -1, 1, -1, 0, -1, -1, -1, 1, 1, -1, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 白细胞计数 (WBC): 0.42 (1e+09/L)\n- 嗜酸细胞绝对值 (EO#): 1.24 (1e+09/L)\n- 嗜酸细胞比率 (EO%): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["白细胞计数", "嗜酸细胞绝对值", "嗜酸细胞比率"], "values": [0.42, 1.24, 1], "unit_values": [1000000000.0, 1000000000.0, 1], "unit_names": ["/L", "/L", "%"], "ground_truths": [-1, 1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 大血小板比率 (P-LCR): 1 (%)\n- 中性粒细胞绝对值 (NEUT#): 4.16 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["大血小板比率", "中性粒细胞绝对值"], "values": [1, 4.16], "unit_values": [1, 1000000000.0], "unit_names": ["%", "/L"], "ground_truths": [-1, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 嗜碱细胞绝对值 (BASO#): 0.08 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["嗜碱细胞绝对值"], "values": [0.08], "unit_values": [1000000000.0], "unit_names": ["/L"], "ground_truths": [1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞分布宽度标准差 (RDW-SD): 66.79 (fL)\n- 血红蛋白 (HGB): 101.0 (g/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞分布宽度标准差", "血红蛋白"], "values": [66.79, 101.0], "unit_values": [1, 1], "unit_names": ["fL", "g/L"], "ground_truths": [1, -1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 嗜碱细胞绝对值 (BASO#): 0.02 (1e+09/L)\n- 红细胞比容 (HCT): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["嗜碱细胞绝对值", "红细胞比容"], "values": [0.02, 1], "unit_values": [1000000000.0, 1], "unit_names": ["/L", "%"], "ground_truths": [0, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 大血小板比率 (P-LCR): 1 (%)\n- 单核细胞比率 (MONO%): 1 (%)\n- 血红蛋白 (HGB): 239.77 (g/L)\n- 血小板体积分布宽度 (PDW): 10.9 (fL)\n- 嗜酸细胞绝对值 (EO#): 1.27 (1e+09/L)\n- 淋巴细胞绝对值 (LYMPH#): 4.99 (1e+09/L)\n- 平均红细胞血红蛋白浓度 (MCHC): 356.66 (g/L)\n- 平均红细胞容积 (MCV): 96.62 (fL)\n- 红细胞比容 (HCT): 1 (%)\n- 平均血小板体积 (MPV): 5.33 (fL)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 中性粒细胞绝对值 (NEUT#): 8.13 (1e+09/L)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 嗜酸细胞比率 (EO%): 1 (%)\n- 嗜碱细胞比率 (BASO%): 0.73 (%)\n- 血小板体积分数 (PCT): 0.06 (%)\n- 红细胞分布宽度标准差 (RDW-SD): 8.59 (fL)\n- 白细胞计数 (WBC): 12.89 (1e+09/L)\n- 红细胞计数 (RBC): 2.08 (1e+12/L)\n- 单核细胞绝对值 (MONO#): 1.23 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["大血小板比率", "单核细胞比率", "血红蛋白", "血小板体积分布宽度", "嗜酸细胞绝对值", "淋巴细胞绝对值", "平均红细胞血红蛋白浓度", "平均红细胞容积", "红细胞比容", "平均血小板体积", "淋巴细胞比率", "中性粒细胞绝对值", "中性粒细胞比率", "嗜酸细胞比率", "嗜碱细胞比率", "血小板体积分数", "红细胞分布宽度标准差", "白细胞计数", "红细胞计数", "单核细胞绝对值"], "values": [1, 1, 239.77, 10.9, 1.27, 4.99, 356.66, 96.62, 1, 5.33, 1, 8.13, 1, 1, 0.73, 0.06, 8.59, 12.89, 2.08, 1.23], "unit_values": [1, 1, 1, 1, 1000000000.0, 1000000000.0, 1, 1, 1, 1, 1, 1000000000.0, 1, 1, 1, 1, 1, 1000000000.0, 1000000000000.0, 1000000000.0], "unit_names": ["%", "%", "g/L", "fL", "/L", "/L", "g/L", "fL", "%", "fL", "%", "/L", "%", "%", "%", "%", "fL", "/L", "/L", "/L"], "ground_truths": [1, 0, 1, 0, 1, 1, 1, 0, 1, -1, -1, 1, 1, 0, 0, -1, -1, 1, -1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 嗜碱细胞绝对值 (BASO#): 0.1 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["嗜碱细胞绝对值"], "values": [0.1], "unit_values": [1000000000.0], "unit_names": ["/L"], "ground_truths": [1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞计数 (RBC): 3.82 (1e+12/L)\n- 中性粒细胞绝对值 (NEUT#): 12.68 (1e+09/L)\n- 淋巴细胞绝对值 (LYMPH#): 2.18 (1e+09/L)\n- 血小板 (PLT): 230.96 (1e+09/L)\n- 红细胞比容 (HCT): 1 (%)\n- 单核细胞比率 (MONO%): 1 (%)\n- 平均红细胞容积 (MCV): 59.62 (fL)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 平均红细胞血红蛋白浓度 (MCHC): 300.29 (g/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞计数", "中性粒细胞绝对值", "淋巴细胞绝对值", "血小板", "红细胞比容", "单核细胞比率", "平均红细胞容积", "中性粒细胞比率", "平均红细胞血红蛋白浓度"], "values": [3.82, 12.68, 2.18, 230.96, 1, 1, 59.62, 1, 300.29], "unit_values": [1000000000000.0, 1000000000.0, 1000000000.0, 1000000000.0, 1, 1, 1, 1, 1], "unit_names": ["/L", "/L", "/L", "/L", "%", "%", "fL", "%", "g/L"], "ground_truths": [-1, 1, 0, 0, 0, 1, -1, 0, -1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 大血小板比率 (P-LCR): 1 (%)\n- 嗜酸细胞绝对值 (EO#): 0.91 (1e+09/L)\n- 单核细胞绝对值 (MONO#): 1.09 (1e+09/L)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["大血小板比率", "嗜酸细胞绝对值", "单核细胞绝对值", "淋巴细胞比率"], "values": [1, 0.91, 1.09, 1], "unit_values": [1, 1000000000.0, 1000000000.0, 1], "unit_names": ["%", "/L", "/L", "%"], "ground_truths": [1, 1, 1, -1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 中性粒细胞绝对值 (NEUT#): 9.34 (1e+09/L)\n- 红细胞分布宽度标准差 (RDW-SD): 23.0 (fL)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 嗜碱细胞比率 (BASO%): 1.0 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["中性粒细胞绝对值", "红细胞分布宽度标准差", "红细胞分布宽度变异系数", "嗜碱细胞比率"], "values": [9.34, 23.0, 1, 1.0], "unit_values": [1000000000.0, 1, 1, 1], "unit_names": ["/L", "fL", "%", "%"], "ground_truths": [1, -1, 1, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 平均红细胞容积 (MCV): 75.62 (fL)\n- 单核细胞绝对值 (MONO#): 1.18 (1e+09/L)\n- 淋巴细胞绝对值 (LYMPH#): 1.44 (1e+09/L)\n- 平均血小板体积 (MPV): 4.97 (fL)\n- 血小板体积分布宽度 (PDW): 28.24 (fL)\n- 单核细胞比率 (MONO%): 1 (%)\n- 嗜碱细胞绝对值 (BASO#): 0.01 (1e+09/L)\n- 平均红细胞血红蛋白浓度 (MCHC): 394.76 (g/L)\n- 血红蛋白 (HGB): 240.74 (g/L)\n- 平均红细胞血红蛋白量 (MCH): 21.34 (pg)\n- 红细胞分布宽度标准差 (RDW-SD): 79.28 (fL)\n- 血小板 (PLT): 279.49 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["平均红细胞容积", "单核细胞绝对值", "淋巴细胞绝对值", "平均血小板体积", "血小板体积分布宽度", "单核细胞比率", "嗜碱细胞绝对值", "平均红细胞血红蛋白浓度", "血红蛋白", "平均红细胞血红蛋白量", "红细胞分布宽度标准差", "血小板"], "values": [75.62, 1.18, 1.44, 4.97, 28.24, 1, 0.01, 394.76, 240.74, 21.34, 79.28, 279.49], "unit_values": [1, 1000000000.0, 1000000000.0, 1, 1, 1, 1000000000.0, 1, 1, 1, 1, 1000000000.0], "unit_names": ["fL", "/L", "/L", "fL", "fL", "%", "/L", "g/L", "g/L", "pg", "fL", "/L"], "ground_truths": [-1, 1, 0, -1, 1, 0, 0, 1, 1, -1, 1, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 单核细胞比率 (MONO%): 1 (%)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 嗜酸细胞绝对值 (EO#): 1.2 (1e+09/L)\n- 血小板体积分布宽度 (PDW): 4.06 (fL)\n- 平均红细胞血红蛋白量 (MCH): 35.16 (pg)\n- 大血小板比率 (P-LCR): 1 (%)\n- 红细胞计数 (RBC): 4.54 (1e+12/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["单核细胞比率", "红细胞分布宽度变异系数", "嗜酸细胞绝对值", "血小板体积分布宽度", "平均红细胞血红蛋白量", "大血小板比率", "红细胞计数"], "values": [1, 1, 1.2, 4.06, 35.16, 1, 4.54], "unit_values": [1, 1, 1000000000.0, 1, 1, 1, 1000000000000.0], "unit_names": ["%", "%", "/L", "fL", "pg", "%", "/L"], "ground_truths": [-1, 0, 1, -1, 1, -1, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 嗜碱细胞比率 (BASO%): 1 (%)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 嗜酸细胞绝对值 (EO#): 0.72 (1e+09/L)\n- 平均红细胞容积 (MCV): 114.93 (fL)\n- 红细胞比容 (HCT): 1 (%)\n- 血小板 (PLT): 313.75 (1e+09/L)\n- 中性粒细胞绝对值 (NEUT#): 8.65 (1e+09/L)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 大血小板比率 (P-LCR): 1 (%)\n- 红细胞分布宽度标准差 (RDW-SD): 52.33 (fL)\n- 红细胞计数 (RBC): 5.89 (1e+12/L)\n- 平均血小板体积 (MPV): 12.03 (fL)\n- 嗜碱细胞绝对值 (BASO#): 0.08 (1e+09/L)\n- 平均红细胞血红蛋白浓度 (MCHC): 266.36 (g/L)\n- 血红蛋白 (HGB): 195.69 (g/L)\n- 血小板体积分数 (PCT): 0.14 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["嗜碱细胞比率", "淋巴细胞比率", "嗜酸细胞绝对值", "平均红细胞容积", "红细胞比容", "血小板", "中性粒细胞绝对值", "中性粒细胞比率", "大血小板比率", "红细胞分布宽度标准差", "红细胞计数", "平均血小板体积", "嗜碱细胞绝对值", "平均红细胞血红蛋白浓度", "血红蛋白", "血小板体积分数"], "values": [1, 1, 0.72, 114.93, 1, 313.75, 8.65, 1, 1, 52.33, 5.89, 12.03, 0.08, 266.36, 195.69, 0.14], "unit_values": [1, 1, 1000000000.0, 1, 1, 1000000000.0, 1000000000.0, 1, 1, 1, 1000000000000.0, 1, 1000000000.0, 1, 1, 1], "unit_names": ["%", "%", "/L", "fL", "%", "/L", "/L", "%", "%", "fL", "/L", "fL", "/L", "g/L", "g/L", "%"], "ground_truths": [1, 1, 1, 1, 1, 0, 1, -1, -1, 0, 1, 0, 1, -1, 1, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 单核细胞比率 (MONO%): 1 (%)\n- 红细胞比容 (HCT): 1 (%)\n- 红细胞计数 (RBC): 7.88 (1e+12/L)\n- 嗜酸细胞绝对值 (EO#): 0.68 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["中性粒细胞比率", "单核细胞比率", "红细胞比容", "红细胞计数", "嗜酸细胞绝对值"], "values": [1, 1, 1, 7.88, 0.68], "unit_values": [1, 1, 1, 1000000000000.0, 1000000000.0], "unit_names": ["%", "%", "%", "/L", "/L"], "ground_truths": [-1, 1, 0, 1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 平均红细胞容积 (MCV): 72.07 (fL)\n- 红细胞分布宽度标准差 (RDW-SD): 21.95 (fL)\n- 嗜碱细胞绝对值 (BASO#): 0.09 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["平均红细胞容积", "红细胞分布宽度标准差", "嗜碱细胞绝对值"], "values": [72.07, 21.95, 0.09], "unit_values": [1, 1, 1000000000.0], "unit_names": ["fL", "fL", "/L"], "ground_truths": [-1, -1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 血小板体积分数 (PCT): 0.42 (%)\n- 淋巴细胞绝对值 (LYMPH#): 3.82 (1e+09/L)\n- 嗜碱细胞绝对值 (BASO#): 0.01 (1e+09/L)\n- 红细胞比容 (HCT): 1 (%)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 嗜碱细胞比率 (BASO%): 0.02 (%)\n- 嗜酸细胞比率 (EO%): 1 (%)\n- 单核细胞绝对值 (MONO#): 1.24 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["血小板体积分数", "淋巴细胞绝对值", "嗜碱细胞绝对值", "红细胞比容", "淋巴细胞比率", "嗜碱细胞比率", "嗜酸细胞比率", "单核细胞绝对值"], "values": [0.42, 3.82, 0.01, 1, 1, 0.02, 1, 1.24], "unit_values": [1, 1000000000.0, 1000000000.0, 1, 1, 1, 1, 1000000000.0], "unit_names": ["%", "/L", "/L", "%", "%", "%", "%", "/L"], "ground_truths": [1, 1, 0, -1, -1, 0, 0, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 平均红细胞血红蛋白浓度 (MCHC): 352.0 (g/L)\n- 平均红细胞容积 (MCV): 98.32 (fL)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 血小板体积分布宽度 (PDW): 3.73 (fL)\n- 中性粒细胞绝对值 (NEUT#): 3.51 (1e+09/L)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 单核细胞比率 (MONO%): 1 (%)\n- 嗜酸细胞比率 (EO%): 1 (%)\n- 红细胞分布宽度标准差 (RDW-SD): 85.74 (fL)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["平均红细胞血红蛋白浓度", "平均红细胞容积", "红细胞分布宽度变异系数", "血小板体积分布宽度", "中性粒细胞绝对值", "中性粒细胞比率", "单核细胞比率", "嗜酸细胞比率", "红细胞分布宽度标准差"], "values": [352.0, 98.32, 1, 3.73, 3.51, 1, 1, 1, 85.74], "unit_values": [1, 1, 1, 1, 1000000000.0, 1, 1, 1, 1], "unit_names": ["g/L", "fL", "%", "fL", "/L", "%", "%", "%", "fL"], "ground_truths": [0, 0, 1, -1, 0, -1, 1, 1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 嗜碱细胞比率 (BASO%): 1 (%)\n- 红细胞比容 (HCT): 1 (%)\n- 血红蛋白 (HGB): 89.77 (g/L)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 平均红细胞血红蛋白量 (MCH): 26.35 (pg)\n- 平均血小板体积 (MPV): 3.59 (fL)\n- 单核细胞比率 (MONO%): 1 (%)\n- 平均红细胞血红蛋白浓度 (MCHC): 259.36 (g/L)\n- 血小板 (PLT): 17.71 (1e+09/L)\n- 白细胞计数 (WBC): 16.29 (1e+09/L)\n- 血小板体积分布宽度 (PDW): 26.68 (fL)\n- 嗜酸细胞绝对值 (EO#): 0.25 (1e+09/L)\n- 淋巴细胞绝对值 (LYMPH#): 1.04 (1e+09/L)\n- 红细胞计数 (RBC): 2.22 (1e+12/L)\n- 平均红细胞容积 (MCV): 104.35 (fL)\n- 嗜酸细胞比率 (EO%): 1 (%)\n- 红细胞分布宽度标准差 (RDW-SD): 53.16 (fL)\n- 单核细胞绝对值 (MONO#): 1.03 (1e+09/L)\n- 大血小板比率 (P-LCR): 1 (%)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 嗜碱细胞绝对值 (BASO#): 0.07 (1e+09/L)\n- 中性粒细胞绝对值 (NEUT#): 9.43 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["嗜碱细胞比率", "红细胞比容", "血红蛋白", "中性粒细胞比率", "平均红细胞血红蛋白量", "平均血小板体积", "单核细胞比率", "平均红细胞血红蛋白浓度", "血小板", "白细胞计数", "血小板体积分布宽度", "嗜酸细胞绝对值", "淋巴细胞绝对值", "红细胞计数", "平均红细胞容积", "嗜酸细胞比率", "红细胞分布宽度标准差", "单核细胞绝对值", "大血小板比率", "红细胞分布宽度变异系数", "嗜碱细胞绝对值", "中性粒细胞绝对值"], "values": [1, 1, 89.77, 1, 26.35, 3.59, 1, 259.36, 17.71, 16.29, 26.68, 0.25, 1.04, 2.22, 104.35, 1, 53.16, 1.03, 1, 1, 0.07, 9.43], "unit_values": [1, 1, 1, 1, 1, 1, 1, 1, 1000000000.0, 1000000000.0, 1, 1000000000.0, 1000000000.0, 1000000000000.0, 1, 1, 1, 1000000000.0, 1, 1, 1000000000.0, 1000000000.0], "unit_names": ["%", "%", "g/L", "%", "pg", "fL", "%", "g/L", "/L", "/L", "fL", "/L", "/L", "/L", "fL", "%", "fL", "/L", "%", "%", "/L", "/L"], "ground_truths": [1, 0, -1, 0, -1, -1, 1, -1, -1, 1, 1, 0, -1, -1, 1, 1, 0, 1, -1, 1, 1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 平均红细胞血红蛋白浓度 (MCHC): 3.35 (1e+02g/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["平均红细胞血红蛋白浓度"], "values": [3.35], "unit_values": [100], "unit_names": ["g/L"], "ground_truths": [0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 嗜酸细胞比率 (EO%): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["嗜酸细胞比率"], "values": [1], "unit_values": [1], "unit_names": ["%"], "ground_truths": [1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞比容 (HCT): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞比容"], "values": [1], "unit_values": [1], "unit_names": ["%"], "ground_truths": [-1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 白细胞计数 (WBC): 17.55 (1e+08/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["白细胞计数"], "values": [17.55], "unit_values": [100000000.0], "unit_names": ["/L"], "ground_truths": [-1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 血红蛋白 (HGB): 207.19 (g/L)\n- 血小板 (PLT): 413.98 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞分布宽度变异系数", "血红蛋白", "血小板"], "values": [1, 207.19, 413.98], "unit_values": [1, 1, 1000000000.0], "unit_names": ["%", "g/L", "/L"], "ground_truths": [1, 1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 嗜酸细胞比率 (EO%): 1 (%)\n- 白细胞计数 (WBC): 6.35 (1e+09/L)\n- 单核细胞比率 (MONO%): 1 (%)\n- 血小板体积分数 (PCT): 0.02 (%)\n- 嗜酸细胞绝对值 (EO#): 0.67 (1e+09/L)\n- 红细胞比容 (HCT): 1 (%)\n- 平均红细胞血红蛋白量 (MCH): 20.65 (pg)\n- 平均血小板体积 (MPV): 6.2 (fL)\n- 单核细胞绝对值 (MONO#): 0.43 (1e+09/L)\n- 平均红细胞血红蛋白浓度 (MCHC): 350.54 (g/L)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 血小板体积分布宽度 (PDW): 24.64 (fL)\n- 红细胞分布宽度标准差 (RDW-SD): 62.7 (fL)\n- 血红蛋白 (HGB): 131.73 (g/L)\n- 大血小板比率 (P-LCR): 1 (%)\n- 中性粒细胞绝对值 (NEUT#): 2.41 (1e+09/L)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 嗜碱细胞比率 (BASO%): 1 (%)\n- 嗜碱细胞绝对值 (BASO#): 0.09 (1e+09/L)\n- 平均红细胞容积 (MCV): 67.74 (fL)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["嗜酸细胞比率", "白细胞计数", "单核细胞比率", "血小板体积分数", "嗜酸细胞绝对值", "红细胞比容", "平均红细胞血红蛋白量", "平均血小板体积", "单核细胞绝对值", "平均红细胞血红蛋白浓度", "中性粒细胞比率", "血小板体积分布宽度", "红细胞分布宽度标准差", "血红蛋白", "大血小板比率", "中性粒细胞绝对值", "淋巴细胞比率", "嗜碱细胞比率", "嗜碱细胞绝对值", "平均红细胞容积"], "values": [1, 6.35, 1, 0.02, 0.67, 1, 20.65, 6.2, 0.43, 350.54, 1, 24.64, 62.7, 131.73, 1, 2.41, 1, 1, 0.09, 67.74], "unit_values": [1, 1000000000.0, 1, 1, 1000000000.0, 1, 1, 1, 1000000000.0, 1, 1, 1, 1, 1, 1, 1000000000.0, 1, 1, 1000000000.0, 1], "unit_names": ["%", "/L", "%", "%", "/L", "%", "pg", "fL", "/L", "g/L", "%", "fL", "fL", "g/L", "%", "/L", "%", "%", "/L", "fL"], "ground_truths": [1, 0, 1, -1, 1, -1, -1, -1, 0, 0, 1, 1, 1, 0, -1, 0, 1, 1, 1, -1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 平均血小板体积 (MPV): 3.92 (fL)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["平均血小板体积"], "values": [3.92], "unit_values": [1], "unit_names": ["fL"], "ground_truths": [-1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 单核细胞比率 (MONO%): 1 (%)\n- 血小板体积分数 (PCT): 0.66 (%)\n- 红细胞计数 (RBC): 4.16 (1e+12/L)\n- 淋巴细胞绝对值 (LYMPH#): 1.18 (1e+09/L)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 大血小板比率 (P-LCR): 1 (%)\n- 平均红细胞血红蛋白量 (MCH): 27.8 (pg)\n- 平均红细胞血红蛋白浓度 (MCHC): 397.46 (g/L)\n- 嗜酸细胞绝对值 (EO#): 1.18 (1e+09/L)\n- 红细胞比容 (HCT): 1 (%)\n- 平均红细胞容积 (MCV): 76.89 (fL)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["单核细胞比率", "血小板体积分数", "红细胞计数", "淋巴细胞绝对值", "淋巴细胞比率", "大血小板比率", "平均红细胞血红蛋白量", "平均红细胞血红蛋白浓度", "嗜酸细胞绝对值", "红细胞比容", "平均红细胞容积"], "values": [1, 0.66, 4.16, 1.18, 1, 1, 27.8, 397.46, 1.18, 1, 76.89], "unit_values": [1, 1, 1000000000000.0, 1000000000.0, 1, 1, 1, 1, 1000000000.0, 1, 1], "unit_names": ["%", "%", "/L", "/L", "%", "%", "pg", "g/L", "/L", "%", "fL"], "ground_truths": [1, 1, -1, 0, -1, -1, 0, 1, 1, -1, -1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 血小板体积分数 (PCT): 0.29 (%)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 嗜碱细胞绝对值 (BASO#): 0.03 (1e+09/L)\n- 平均红细胞血红蛋白浓度 (MCHC): 264.71 (g/L)\n- 单核细胞比率 (MONO%): 1 (%)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 平均红细胞容积 (MCV): 60.97 (fL)\n- 红细胞分布宽度标准差 (RDW-SD): 20.18 (fL)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞分布宽度变异系数", "血小板体积分数", "中性粒细胞比率", "嗜碱细胞绝对值", "平均红细胞血红蛋白浓度", "单核细胞比率", "淋巴细胞比率", "平均红细胞容积", "红细胞分布宽度标准差"], "values": [1, 0.29, 1, 0.03, 264.71, 1, 1, 60.97, 20.18], "unit_values": [1, 1, 1, 1000000000.0, 1, 1, 1, 1, 1], "unit_names": ["%", "%", "%", "/L", "g/L", "%", "%", "fL", "fL"], "ground_truths": [1, 0, 1, 0, -1, 1, 0, -1, -1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 单核细胞绝对值 (MONO#): 0.87 (1e+09/L)\n- 嗜酸细胞比率 (EO%): 1 (%)\n- 血小板体积分数 (PCT): 0.62 (%)\n- 血小板体积分布宽度 (PDW): 6.48 (fL)\n- 红细胞分布宽度标准差 (RDW-SD): 13.37 (fL)\n- 血小板 (PLT): 234.4 (1e+09/L)\n- 平均红细胞容积 (MCV): 115.16 (fL)\n- 红细胞计数 (RBC): 3.04 (1e+12/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["单核细胞绝对值", "嗜酸细胞比率", "血小板体积分数", "血小板体积分布宽度", "红细胞分布宽度标准差", "血小板", "平均红细胞容积", "红细胞计数"], "values": [0.87, 1, 0.62, 6.48, 13.37, 234.4, 115.16, 3.04], "unit_values": [1000000000.0, 1, 1, 1, 1, 1000000000.0, 1, 1000000000000.0], "unit_names": ["/L", "%", "%", "fL", "fL", "/L", "fL", "/L"], "ground_truths": [1, 1, 1, -1, -1, 0, 1, -1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 嗜碱细胞比率 (BASO%): 0.11 (%)\n- 单核细胞绝对值 (MONO#): 0.6 (1e+09/L)\n- 平均红细胞血红蛋白浓度 (MCHC): 308.47 (g/L)\n- 红细胞分布宽度标准差 (RDW-SD): 73.66 (fL)\n- 嗜碱细胞绝对值 (BASO#): 0.04 (1e+09/L)\n- 平均红细胞容积 (MCV): 75.9 (fL)\n- 血小板 (PLT): 209.75 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["嗜碱细胞比率", "单核细胞绝对值", "平均红细胞血红蛋白浓度", "红细胞分布宽度标准差", "嗜碱细胞绝对值", "平均红细胞容积", "血小板"], "values": [0.11, 0.6, 308.47, 73.66, 0.04, 75.9, 209.75], "unit_values": [1, 1000000000.0, 1, 1, 1000000000.0, 1, 1000000000.0], "unit_names": ["%", "/L", "g/L", "fL", "/L", "fL", "/L"], "ground_truths": [0, 1, -1, 1, 0, -1, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 平均红细胞血红蛋白浓度 (MCHC): 301.01 (g/L)\n- 淋巴细胞绝对值 (LYMPH#): 5.36 (1e+09/L)\n- 血小板体积分数 (PCT): 0.53 (%)\n- 白细胞计数 (WBC): 5.32 (1e+09/L)\n- 红细胞计数 (RBC): 2.79 (1e+12/L)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 平均红细胞血红蛋白量 (MCH): 25.44 (pg)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["平均红细胞血红蛋白浓度", "淋巴细胞绝对值", "血小板体积分数", "白细胞计数", "红细胞计数", "中性粒细胞比率", "平均红细胞血红蛋白量"], "values": [301.01, 5.36, 0.53, 5.32, 2.79, 1, 25.44], "unit_values": [1, 1000000000.0, 1, 1000000000.0, 1000000000000.0, 1, 1], "unit_names": ["g/L", "/L", "%", "/L", "/L", "%", "pg"], "ground_truths": [-1, 1, 1, 0, -1, 1, -1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞比容 (HCT): 1 (%)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞比容", "红细胞分布宽度变异系数"], "values": [1, 1], "unit_values": [1, 1], "unit_names": ["%", "%"], "ground_truths": [1, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 中性粒细胞绝对值 (NEUT#): 4.17 (1e+09/L)\n- 淋巴细胞绝对值 (LYMPH#): 5.01 (1e+09/L)\n- 血小板体积分数 (PCT): 0.45 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["中性粒细胞绝对值", "淋巴细胞绝对值", "血小板体积分数"], "values": [4.17, 5.01, 0.45], "unit_values": [1000000000.0, 1000000000.0, 1], "unit_names": ["/L", "/L", "%"], "ground_truths": [0, 1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞计数 (RBC): 4.44 (1e+12/L)\n- 血小板体积分数 (PCT): 0.68 (%)\n- 红细胞比容 (HCT): 1 (%)\n- 单核细胞绝对值 (MONO#): 0.1 (1e+09/L)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 平均血小板体积 (MPV): 3.21 (fL)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 嗜碱细胞绝对值 (BASO#): 0.15 (1e+09/L)\n- 血小板 (PLT): 284.91 (1e+09/L)\n- 单核细胞比率 (MONO%): 1 (%)\n- 大血小板比率 (P-LCR): 1 (%)\n- 嗜酸细胞绝对值 (EO#): 0.74 (1e+09/L)\n- 平均红细胞血红蛋白量 (MCH): 21.25 (pg)\n- 淋巴细胞绝对值 (LYMPH#): 2.39 (1e+09/L)\n- 白细胞计数 (WBC): 9.58 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞计数", "血小板体积分数", "红细胞比容", "单核细胞绝对值", "淋巴细胞比率", "平均血小板体积", "中性粒细胞比率", "嗜碱细胞绝对值", "血小板", "单核细胞比率", "大血小板比率", "嗜酸细胞绝对值", "平均红细胞血红蛋白量", "淋巴细胞绝对值", "白细胞计数"], "values": [4.44, 0.68, 1, 0.1, 1, 3.21, 1, 0.15, 284.91, 1, 1, 0.74, 21.25, 2.39, 9.58], "unit_values": [1000000000000.0, 1, 1, 1000000000.0, 1, 1, 1, 1000000000.0, 1000000000.0, 1, 1, 1000000000.0, 1, 1000000000.0, 1000000000.0], "unit_names": ["/L", "%", "%", "/L", "%", "fL", "%", "/L", "/L", "%", "%", "/L", "pg", "/L", "/L"], "ground_truths": [0, 1, -1, -1, 0, -1, -1, 1, 0, 1, -1, 1, -1, 0, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞比容 (HCT): 1 (%)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 嗜酸细胞比率 (EO%): 1 (%)\n- 平均红细胞血红蛋白浓度 (MCHC): 260.58 (g/L)\n- 平均红细胞容积 (MCV): 103.5 (fL)\n- 血小板体积分数 (PCT): 0.09 (%)\n- 嗜碱细胞绝对值 (BASO#): 0.13 (1e+09/L)\n- 平均血小板体积 (MPV): 8.86 (fL)\n- 嗜酸细胞绝对值 (EO#): 0.48 (1e+09/L)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 平均红细胞血红蛋白量 (MCH): 27.41 (pg)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞比容", "淋巴细胞比率", "嗜酸细胞比率", "平均红细胞血红蛋白浓度", "平均红细胞容积", "血小板体积分数", "嗜碱细胞绝对值", "平均血小板体积", "嗜酸细胞绝对值", "中性粒细胞比率", "红细胞分布宽度变异系数", "平均红细胞血红蛋白量"], "values": [1, 1, 1, 260.58, 103.5, 0.09, 0.13, 8.86, 0.48, 1, 1, 27.41], "unit_values": [1, 1, 1, 1, 1, 1, 1000000000.0, 1, 1000000000.0, 1, 1, 1], "unit_names": ["%", "%", "%", "g/L", "fL", "%", "/L", "fL", "/L", "%", "%", "pg"], "ground_truths": [-1, 0, 1, -1, 1, -1, 1, -1, 0, -1, 1, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 血红蛋白 (HGB): 199.7 (g/L)\n- 红细胞计数 (RBC): 5.57 (1e+12/L)\n- 血小板体积分布宽度 (PDW): 13.04 (fL)\n- 大血小板比率 (P-LCR): 1 (%)\n- 血小板体积分数 (PCT): 0.52 (%)\n- 平均红细胞容积 (MCV): 74.78 (fL)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["血红蛋白", "红细胞计数", "血小板体积分布宽度", "大血小板比率", "血小板体积分数", "平均红细胞容积", "红细胞分布宽度变异系数"], "values": [199.7, 5.57, 13.04, 1, 0.52, 74.78, 1], "unit_values": [1, 1000000000000.0, 1, 1, 1, 1, 1], "unit_names": ["g/L", "/L", "fL", "%", "%", "fL", "%"], "ground_truths": [1, 0, 0, -1, 1, -1, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 白细胞计数 (WBC): 8.01 (1e+09/L)\n- 红细胞分布宽度标准差 (RDW-SD): 73.31 (fL)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 嗜碱细胞绝对值 (BASO#): 0.01 (1e+09/L)\n- 嗜碱细胞比率 (BASO%): 1 (%)\n- 淋巴细胞绝对值 (LYMPH#): 6.1 (1e+09/L)\n- 单核细胞比率 (MONO%): 1 (%)\n- 红细胞比容 (HCT): 1 (%)\n- 单核细胞绝对值 (MONO#): 0.18 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["白细胞计数", "红细胞分布宽度标准差", "红细胞分布宽度变异系数", "淋巴细胞比率", "嗜碱细胞绝对值", "嗜碱细胞比率", "淋巴细胞绝对值", "单核细胞比率", "红细胞比容", "单核细胞绝对值"], "values": [8.01, 73.31, 1, 1, 0.01, 1, 6.1, 1, 1, 0.18], "unit_values": [1000000000.0, 1, 1, 1, 1000000000.0, 1, 1000000000.0, 1, 1, 1000000000.0], "unit_names": ["/L", "fL", "%", "%", "/L", "%", "/L", "%", "%", "/L"], "ground_truths": [0, 1, 1, 1, 0, 1, 1, 1, -1, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 白细胞计数 (WBC): 4.54 (1e+09/L)\n- 平均红细胞血红蛋白量 (MCH): 31.36 (pg)\n- 平均红细胞血红蛋白浓度 (MCHC): 296.55 (g/L)\n- 淋巴细胞绝对值 (LYMPH#): 1.39 (1e+09/L)\n- 单核细胞绝对值 (MONO#): 0.39 (1e+09/L)\n- 红细胞比容 (HCT): 1 (%)\n- 血红蛋白 (HGB): 214.31 (g/L)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 嗜碱细胞比率 (BASO%): 0.77 (%)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 红细胞计数 (RBC): 7.28 (1e+12/L)\n- 平均血小板体积 (MPV): 9.59 (fL)\n- 嗜碱细胞绝对值 (BASO#): 0.03 (1e+09/L)\n- 血小板体积分布宽度 (PDW): 2.35 (fL)\n- 单核细胞比率 (MONO%): 1 (%)\n- 嗜酸细胞绝对值 (EO#): 1.02 (1e+09/L)\n- 红细胞分布宽度标准差 (RDW-SD): 23.2 (fL)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 血小板体积分数 (PCT): 0.18 (%)\n- 血小板 (PLT): 626.11 (1e+09/L)\n- 平均红细胞容积 (MCV): 75.0 (fL)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["白细胞计数", "平均红细胞血红蛋白量", "平均红细胞血红蛋白浓度", "淋巴细胞绝对值", "单核细胞绝对值", "红细胞比容", "血红蛋白", "中性粒细胞比率", "嗜碱细胞比率", "淋巴细胞比率", "红细胞计数", "平均血小板体积", "嗜碱细胞绝对值", "血小板体积分布宽度", "单核细胞比率", "嗜酸细胞绝对值", "红细胞分布宽度标准差", "红细胞分布宽度变异系数", "血小板体积分数", "血小板", "平均红细胞容积"], "values": [4.54, 31.36, 296.55, 1.39, 0.39, 1, 214.31, 1, 0.77, 1, 7.28, 9.59, 0.03, 2.35, 1, 1.02, 23.2, 1, 0.18, 626.11, 75.0], "unit_values": [1000000000.0, 1, 1, 1000000000.0, 1000000000.0, 1, 1, 1, 1, 1, 1000000000000.0, 1, 1000000000.0, 1, 1, 1000000000.0, 1, 1, 1, 1000000000.0, 1], "unit_names": ["/L", "pg", "g/L", "/L", "/L", "%", "g/L", "%", "%", "%", "/L", "fL", "/L", "fL", "%", "/L", "fL", "%", "%", "/L", "fL"], "ground_truths": [0, 0, -1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, -1, 0, 1, -1, 0, 0, 1, -1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞比容 (HCT): 1 (%)\n- 嗜酸细胞比率 (EO%): 1 (%)\n- 平均红细胞容积 (MCV): 109.77 (fL)\n- 单核细胞绝对值 (MONO#): 0.29 (1e+09/L)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 平均红细胞血红蛋白量 (MCH): 38.11 (pg)\n- 平均红细胞血红蛋白浓度 (MCHC): 384.7 (g/L)\n- 红细胞分布宽度标准差 (RDW-SD): 81.78 (fL)\n- 血红蛋白 (HGB): 86.23 (g/L)\n- 血小板 (PLT): 214.83 (1e+09/L)\n- 嗜碱细胞绝对值 (BASO#): 0.02 (1e+09/L)\n- 淋巴细胞绝对值 (LYMPH#): 5.61 (1e+09/L)\n- 大血小板比率 (P-LCR): 1 (%)\n- 平均血小板体积 (MPV): 10.64 (fL)\n- 血小板体积分数 (PCT): 0.54 (%)\n- 中性粒细胞绝对值 (NEUT#): 12.87 (1e+09/L)\n- 血小板体积分布宽度 (PDW): 19.0 (fL)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 嗜酸细胞绝对值 (EO#): 1.22 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞比容", "嗜酸细胞比率", "平均红细胞容积", "单核细胞绝对值", "中性粒细胞比率", "平均红细胞血红蛋白量", "平均红细胞血红蛋白浓度", "红细胞分布宽度标准差", "血红蛋白", "血小板", "嗜碱细胞绝对值", "淋巴细胞绝对值", "大血小板比率", "平均血小板体积", "血小板体积分数", "中性粒细胞绝对值", "血小板体积分布宽度", "红细胞分布宽度变异系数", "嗜酸细胞绝对值"], "values": [1, 1, 109.77, 0.29, 1, 38.11, 384.7, 81.78, 86.23, 214.83, 0.02, 5.61, 1, 10.64, 0.54, 12.87, 19.0, 1, 1.22], "unit_values": [1, 1, 1, 1000000000.0, 1, 1, 1, 1, 1, 1000000000.0, 1000000000.0, 1000000000.0, 1, 1, 1, 1000000000.0, 1, 1, 1000000000.0], "unit_names": ["%", "%", "fL", "/L", "%", "pg", "g/L", "fL", "g/L", "/L", "/L", "/L", "%", "fL", "%", "/L", "fL", "%", "/L"], "ground_truths": [1, 1, 1, 0, -1, 1, 1, 1, -1, 0, 0, 1, -1, 0, 1, 1, 1, 0, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 平均红细胞血红蛋白量 (MCH): 36.35 (pg)\n- 红细胞分布宽度标准差 (RDW-SD): 44.99 (fL)\n- 大血小板比率 (P-LCR): 1 (%)\n- 嗜酸细胞绝对值 (EO#): 1.21 (1e+09/L)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 淋巴细胞绝对值 (LYMPH#): 5.59 (1e+09/L)\n- 血小板 (PLT): 419.33 (1e+09/L)\n- 红细胞比容 (HCT): 1 (%)\n- 红细胞计数 (RBC): 4.56 (1e+12/L)\n- 嗜碱细胞绝对值 (BASO#): 0.02 (1e+09/L)\n- 嗜碱细胞比率 (BASO%): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["平均红细胞血红蛋白量", "红细胞分布宽度标准差", "大血小板比率", "嗜酸细胞绝对值", "红细胞分布宽度变异系数", "淋巴细胞绝对值", "血小板", "红细胞比容", "红细胞计数", "嗜碱细胞绝对值", "嗜碱细胞比率"], "values": [36.35, 44.99, 1, 1.21, 1, 5.59, 419.33, 1, 4.56, 0.02, 1], "unit_values": [1, 1, 1, 1000000000.0, 1, 1000000000.0, 1000000000.0, 1, 1000000000000.0, 1000000000.0, 1], "unit_names": ["pg", "fL", "%", "/L", "%", "/L", "/L", "%", "/L", "/L", "%"], "ground_truths": [1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 白细胞计数 (WBC): 18.34 (1e+09/L)\n- 嗜碱细胞比率 (BASO%): 1 (%)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 平均红细胞血红蛋白浓度 (MCHC): 259.45 (g/L)\n- 大血小板比率 (P-LCR): 1 (%)\n- 淋巴细胞绝对值 (LYMPH#): 3.44 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["白细胞计数", "嗜碱细胞比率", "红细胞分布宽度变异系数", "平均红细胞血红蛋白浓度", "大血小板比率", "淋巴细胞绝对值"], "values": [18.34, 1, 1, 259.45, 1, 3.44], "unit_values": [1000000000.0, 1, 1, 1, 1, 1000000000.0], "unit_names": ["/L", "%", "%", "g/L", "%", "/L"], "ground_truths": [1, 1, 1, -1, 1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 平均红细胞血红蛋白量 (MCH): 24.26 (pg)\n- 大血小板比率 (P-LCR): 1 (%)\n- 嗜碱细胞绝对值 (BASO#): 0.07 (1e+09/L)\n- 单核细胞比率 (MONO%): 1 (%)\n- 中性粒细胞绝对值 (NEUT#): 1.86 (1e+09/L)\n- 血小板体积分数 (PCT): 0.39 (%)\n- 嗜酸细胞绝对值 (EO#): 0.01 (1e+09/L)\n- 白细胞计数 (WBC): 9.86 (1e+09/L)\n- 血小板体积分布宽度 (PDW): 26.87 (fL)\n- 单核细胞绝对值 (MONO#): 1.19 (1e+09/L)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["平均红细胞血红蛋白量", "大血小板比率", "嗜碱细胞绝对值", "单核细胞比率", "中性粒细胞绝对值", "血小板体积分数", "嗜酸细胞绝对值", "白细胞计数", "血小板体积分布宽度", "单核细胞绝对值", "红细胞分布宽度变异系数"], "values": [24.26, 1, 0.07, 1, 1.86, 0.39, 0.01, 9.86, 26.87, 1.19, 1], "unit_values": [1, 1, 1000000000.0, 1, 1000000000.0, 1, 1000000000.0, 1000000000.0, 1, 1000000000.0, 1], "unit_names": ["pg", "%", "/L", "%", "/L", "%", "/L", "/L", "fL", "/L", "%"], "ground_truths": [-1, 1, 1, 1, 0, 1, -1, 1, 1, 1, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 大血小板比率 (P-LCR): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["大血小板比率"], "values": [1], "unit_values": [1], "unit_names": ["%"], "ground_truths": [-1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 嗜酸细胞比率 (EO%): 1 (%)\n- 白细胞计数 (WBC): 17.58 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["嗜酸细胞比率", "白细胞计数"], "values": [1, 17.58], "unit_values": [1, 1000000000.0], "unit_names": ["%", "/L"], "ground_truths": [0, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 平均红细胞容积 (MCV): 71.47 (fL)\n- 血小板体积分数 (PCT): 0.1 (%)\n- 红细胞分布宽度标准差 (RDW-SD): 68.18 (fL)\n- 红细胞计数 (RBC): 7.92 (1e+12/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["平均红细胞容积", "血小板体积分数", "红细胞分布宽度标准差", "红细胞计数"], "values": [71.47, 0.1, 68.18, 7.92], "unit_values": [1, 1, 1, 1000000000000.0], "unit_names": ["fL", "%", "fL", "/L"], "ground_truths": [-1, -1, 1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 血小板体积分布宽度 (PDW): 1699.98 (1e-02fL)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["血小板体积分布宽度"], "values": [1699.98], "unit_values": [0.01], "unit_names": ["fL"], "ground_truths": [0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞分布宽度标准差 (RDW-SD): 85.5 (fL)\n- 红细胞比容 (HCT): 1 (%)\n- 平均红细胞容积 (MCV): 67.01 (fL)\n- 平均血小板体积 (MPV): 3.72 (fL)\n- 血小板体积分数 (PCT): 0.36 (%)\n- 单核细胞绝对值 (MONO#): 0.54 (1e+09/L)\n- 嗜酸细胞比率 (EO%): 0.94 (%)\n- 血红蛋白 (HGB): 233.08 (g/L)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞分布宽度标准差", "红细胞比容", "平均红细胞容积", "平均血小板体积", "血小板体积分数", "单核细胞绝对值", "嗜酸细胞比率", "血红蛋白", "淋巴细胞比率"], "values": [85.5, 1, 67.01, 3.72, 0.36, 0.54, 0.94, 233.08, 1], "unit_values": [1, 1, 1, 1, 1, 1000000000.0, 1, 1, 1], "unit_names": ["fL", "%", "fL", "fL", "%", "/L", "%", "g/L", "%"], "ground_truths": [1, -1, -1, -1, 1, 0, 0, 1, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 血小板 (PLT): 130.28 (1e+09/L)\n- 嗜碱细胞比率 (BASO%): 0.83 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["中性粒细胞比率", "血小板", "嗜碱细胞比率"], "values": [1, 130.28, 0.83], "unit_values": [1, 1000000000.0, 1], "unit_names": ["%", "/L", "%"], "ground_truths": [-1, 0, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 嗜碱细胞绝对值 (BASO#): 0.05 (1e+09/L)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 淋巴细胞绝对值 (LYMPH#): 1.53 (1e+09/L)\n- 平均血小板体积 (MPV): 9.98 (fL)\n- 血红蛋白 (HGB): 165.75 (g/L)\n- 血小板体积分布宽度 (PDW): 15.1 (fL)\n- 单核细胞比率 (MONO%): 1 (%)\n- 平均红细胞容积 (MCV): 113.63 (fL)\n- 红细胞分布宽度标准差 (RDW-SD): 79.68 (fL)\n- 血小板体积分数 (PCT): 0.61 (%)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 血小板 (PLT): 256.08 (1e+09/L)\n- 大血小板比率 (P-LCR): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["嗜碱细胞绝对值", "淋巴细胞比率", "淋巴细胞绝对值", "平均血小板体积", "血红蛋白", "血小板体积分布宽度", "单核细胞比率", "平均红细胞容积", "红细胞分布宽度标准差", "血小板体积分数", "中性粒细胞比率", "血小板", "大血小板比率"], "values": [0.05, 1, 1.53, 9.98, 165.75, 15.1, 1, 113.63, 79.68, 0.61, 1, 256.08, 1], "unit_values": [1000000000.0, 1, 1000000000.0, 1, 1, 1, 1, 1, 1, 1, 1, 1000000000.0, 1], "unit_names": ["/L", "%", "/L", "fL", "g/L", "fL", "%", "fL", "fL", "%", "%", "/L", "%"], "ground_truths": [0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, -1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 血小板 (PLT): 29268.63 (1e+07/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["血小板"], "values": [29268.63], "unit_values": [10000000.0], "unit_names": ["/L"], "ground_truths": [0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 血红蛋白 (HGB): 87.62 (g/L)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 嗜碱细胞比率 (BASO%): 0.25 (%)\n- 红细胞分布宽度标准差 (RDW-SD): 36.78 (fL)\n- 单核细胞比率 (MONO%): 0.49 (%)\n- 血小板 (PLT): 34.73 (1e+09/L)\n- 大血小板比率 (P-LCR): 1 (%)\n- 平均红细胞血红蛋白浓度 (MCHC): 293.83 (g/L)\n- 平均红细胞容积 (MCV): 57.53 (fL)\n- 嗜酸细胞比率 (EO%): 1 (%)\n- 白细胞计数 (WBC): 11.26 (1e+09/L)\n- 血小板体积分布宽度 (PDW): 5.45 (fL)\n- 嗜酸细胞绝对值 (EO#): 0.44 (1e+09/L)\n- 淋巴细胞绝对值 (LYMPH#): 4.28 (1e+09/L)\n- 平均血小板体积 (MPV): 15.59 (fL)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 中性粒细胞绝对值 (NEUT#): 4.07 (1e+09/L)\n- 红细胞比容 (HCT): 1 (%)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 血小板体积分数 (PCT): 0.37 (%)\n- 平均红细胞血红蛋白量 (MCH): 40.97 (pg)\n- 单核细胞绝对值 (MONO#): 0.03 (1e+09/L)\n- 嗜碱细胞绝对值 (BASO#): 0.09 (1e+09/L)\n- 红细胞计数 (RBC): 2.08 (1e+12/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["血红蛋白", "淋巴细胞比率", "嗜碱细胞比率", "红细胞分布宽度标准差", "单核细胞比率", "血小板", "大血小板比率", "平均红细胞血红蛋白浓度", "平均红细胞容积", "嗜酸细胞比率", "白细胞计数", "血小板体积分布宽度", "嗜酸细胞绝对值", "淋巴细胞绝对值", "平均血小板体积", "红细胞分布宽度变异系数", "中性粒细胞绝对值", "红细胞比容", "中性粒细胞比率", "血小板体积分数", "平均红细胞血红蛋白量", "单核细胞绝对值", "嗜碱细胞绝对值", "红细胞计数"], "values": [87.62, 1, 0.25, 36.78, 0.49, 34.73, 1, 293.83, 57.53, 1, 11.26, 5.45, 0.44, 4.28, 15.59, 1, 4.07, 1, 1, 0.37, 40.97, 0.03, 0.09, 2.08], "unit_values": [1, 1, 1, 1, 1, 1000000000.0, 1, 1, 1, 1, 1000000000.0, 1, 1000000000.0, 1000000000.0, 1, 1, 1000000000.0, 1, 1, 1, 1, 1000000000.0, 1000000000.0, 1000000000000.0], "unit_names": ["g/L", "%", "%", "fL", "%", "/L", "%", "g/L", "fL", "%", "/L", "fL", "/L", "/L", "fL", "%", "/L", "%", "%", "%", "pg", "/L", "/L", "/L"], "ground_truths": [-1, 0, 0, 0, -1, -1, -1, -1, -1, 1, 1, -1, 0, 1, 1, 1, 0, -1, -1, 1, 1, -1, 1, -1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 中性粒细胞绝对值 (NEUT#): 0.81 (1e+09/L)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 平均血小板体积 (MPV): 12.63 (fL)\n- 红细胞分布宽度标准差 (RDW-SD): 5.64 (fL)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["中性粒细胞绝对值", "红细胞分布宽度变异系数", "平均血小板体积", "红细胞分布宽度标准差"], "values": [0.81, 1, 12.63, 5.64], "unit_values": [1000000000.0, 1, 1, 1], "unit_names": ["/L", "%", "fL", "fL"], "ground_truths": [-1, 1, 0, -1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 白细胞计数 (WBC): 5.48 (1e+09/L)\n- 大血小板比率 (P-LCR): 1 (%)\n- 血小板体积分数 (PCT): 0.35 (%)\n- 平均红细胞血红蛋白量 (MCH): 39.5 (pg)\n- 血小板 (PLT): 282.03 (1e+09/L)\n- 红细胞比容 (HCT): 1 (%)\n- 中性粒细胞绝对值 (NEUT#): 0.79 (1e+09/L)\n- 血红蛋白 (HGB): 214.3 (g/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["白细胞计数", "大血小板比率", "血小板体积分数", "平均红细胞血红蛋白量", "血小板", "红细胞比容", "中性粒细胞绝对值", "血红蛋白"], "values": [5.48, 1, 0.35, 39.5, 282.03, 1, 0.79, 214.3], "unit_values": [1000000000.0, 1, 1, 1, 1000000000.0, 1, 1000000000.0, 1], "unit_names": ["/L", "%", "%", "pg", "/L", "%", "/L", "g/L"], "ground_truths": [0, -1, 0, 1, 0, 0, -1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 单核细胞比率 (MONO%): 0.97 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["单核细胞比率"], "values": [0.97], "unit_values": [1], "unit_names": ["%"], "ground_truths": [-1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 单核细胞比率 (MONO%): 1 (%)\n- 白细胞计数 (WBC): 4.9 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["单核细胞比率", "白细胞计数"], "values": [1, 4.9], "unit_values": [1, 1000000000.0], "unit_names": ["%", "/L"], "ground_truths": [0, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 血红蛋白 (HGB): 174.89 (g/L)\n- 淋巴细胞绝对值 (LYMPH#): 5.47 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞分布宽度变异系数", "血红蛋白", "淋巴细胞绝对值"], "values": [1, 174.89, 5.47], "unit_values": [1, 1, 1000000000.0], "unit_names": ["%", "g/L", "/L"], "ground_truths": [1, 0, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 淋巴细胞绝对值 (LYMPH#): 2.24 (1e+09/L)\n- 血小板体积分数 (PCT): 0.62 (%)\n- 血小板 (PLT): 293.48 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["淋巴细胞绝对值", "血小板体积分数", "血小板"], "values": [2.24, 0.62, 293.48], "unit_values": [1000000000.0, 1, 1000000000.0], "unit_names": ["/L", "%", "/L"], "ground_truths": [0, 1, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 血小板 (PLT): 524.52 (1e+09/L)\n- 单核细胞比率 (MONO%): 1 (%)\n- 红细胞分布宽度标准差 (RDW-SD): 63.57 (fL)\n- 红细胞比容 (HCT): 1 (%)\n- 嗜碱细胞绝对值 (BASO#): 0.03 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞分布宽度变异系数", "血小板", "单核细胞比率", "红细胞分布宽度标准差", "红细胞比容", "嗜碱细胞绝对值"], "values": [1, 524.52, 1, 63.57, 1, 0.03], "unit_values": [1, 1000000000.0, 1, 1, 1, 1000000000.0], "unit_names": ["%", "/L", "%", "fL", "%", "/L"], "ground_truths": [1, 1, 1, 1, 0, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 单核细胞比率 (MONO%): 1 (%)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 嗜酸细胞绝对值 (EO#): 1.02 (1e+09/L)\n- 红细胞计数 (RBC): 6.53 (1e+12/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["单核细胞比率", "淋巴细胞比率", "嗜酸细胞绝对值", "红细胞计数"], "values": [1, 1, 1.02, 6.53], "unit_values": [1, 1, 1000000000.0, 1000000000000.0], "unit_names": ["%", "%", "/L", "/L"], "ground_truths": [1, 1, 1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞计数 (RBC): 5.01 (1e+12/L)\n- 中性粒细胞绝对值 (NEUT#): 4.2 (1e+09/L)\n- 嗜碱细胞比率 (BASO%): 0.75 (%)\n- 嗜酸细胞绝对值 (EO#): 0.77 (1e+09/L)\n- 血小板体积分布宽度 (PDW): 15.55 (fL)\n- 平均红细胞容积 (MCV): 110.39 (fL)\n- 嗜碱细胞绝对值 (BASO#): 0.12 (1e+09/L)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 平均血小板体积 (MPV): 13.88 (fL)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞计数", "中性粒细胞绝对值", "嗜碱细胞比率", "嗜酸细胞绝对值", "血小板体积分布宽度", "平均红细胞容积", "嗜碱细胞绝对值", "淋巴细胞比率", "平均血小板体积"], "values": [5.01, 4.2, 0.75, 0.77, 15.55, 110.39, 0.12, 1, 13.88], "unit_values": [1000000000000.0, 1000000000.0, 1, 1000000000.0, 1, 1, 1000000000.0, 1, 1], "unit_names": ["/L", "/L", "%", "/L", "fL", "fL", "/L", "%", "fL"], "ground_truths": [0, 0, 0, 1, 0, 1, 1, 1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 单核细胞绝对值 (MONO#): 0.4 (1e+09/L)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 血小板体积分数 (PCT): 0.03 (%)\n- 血小板体积分布宽度 (PDW): 21.97 (fL)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["单核细胞绝对值", "红细胞分布宽度变异系数", "血小板体积分数", "血小板体积分布宽度"], "values": [0.4, 1, 0.03, 21.97], "unit_values": [1000000000.0, 1, 1, 1], "unit_names": ["/L", "%", "%", "fL"], "ground_truths": [0, 1, -1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 血小板体积分数 (PCT): 0.58 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["血小板体积分数"], "values": [0.58], "unit_values": [1], "unit_names": ["%"], "ground_truths": [1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 单核细胞比率 (MONO%): 1 (%)\n- 血小板 (PLT): 197.47 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["中性粒细胞比率", "单核细胞比率", "血小板"], "values": [1, 1, 197.47], "unit_values": [1, 1, 1000000000.0], "unit_names": ["%", "%", "/L"], "ground_truths": [-1, 1, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 血小板体积分数 (PCT): 0.1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["血小板体积分数"], "values": [0.1], "unit_values": [1], "unit_names": ["%"], "ground_truths": [-1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞计数 (RBC): 4.84 (1e+12/L)\n- 血小板体积分数 (PCT): 0.35 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞计数", "血小板体积分数"], "values": [4.84, 0.35], "unit_values": [1000000000000.0, 1], "unit_names": ["/L", "%"], "ground_truths": [0, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞计数 (RBC): 5.02 (1e+12/L)\n- 单核细胞比率 (MONO%): 1 (%)\n- 嗜碱细胞比率 (BASO%): 1.0 (%)\n- 平均红细胞容积 (MCV): 69.36 (fL)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞计数", "单核细胞比率", "嗜碱细胞比率", "平均红细胞容积"], "values": [5.02, 1, 1.0, 69.36], "unit_values": [1000000000000.0, 1, 1, 1], "unit_names": ["/L", "%", "%", "fL"], "ground_truths": [0, 1, 0, -1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 平均血小板体积 (MPV): 4.74 (fL)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["平均血小板体积"], "values": [4.74], "unit_values": [1], "unit_names": ["fL"], "ground_truths": [-1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 血小板体积分布宽度 (PDW): 3.8 (fL)\n- 单核细胞比率 (MONO%): 1 (%)\n- 平均血小板体积 (MPV): 18.83 (fL)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞分布宽度变异系数", "血小板体积分布宽度", "单核细胞比率", "平均血小板体积"], "values": [1, 3.8, 1, 18.83], "unit_values": [1, 1, 1, 1], "unit_names": ["%", "fL", "%", "fL"], "ground_truths": [0, -1, 1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 平均红细胞血红蛋白浓度 (MCHC): 332.93 (g/L)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 嗜酸细胞绝对值 (EO#): 1.02 (1e+09/L)\n- 平均血小板体积 (MPV): 9.76 (fL)\n- 嗜酸细胞比率 (EO%): 1 (%)\n- 嗜碱细胞绝对值 (BASO#): 0.12 (1e+09/L)\n- 平均红细胞容积 (MCV): 62.24 (fL)\n- 红细胞分布宽度标准差 (RDW-SD): 58.91 (fL)\n- 大血小板比率 (P-LCR): 1 (%)\n- 单核细胞绝对值 (MONO#): 0.71 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["平均红细胞血红蛋白浓度", "淋巴细胞比率", "嗜酸细胞绝对值", "平均血小板体积", "嗜酸细胞比率", "嗜碱细胞绝对值", "平均红细胞容积", "红细胞分布宽度标准差", "大血小板比率", "单核细胞绝对值"], "values": [332.93, 1, 1.02, 9.76, 1, 0.12, 62.24, 58.91, 1, 0.71], "unit_values": [1, 1, 1000000000.0, 1, 1, 1000000000.0, 1, 1, 1, 1000000000.0], "unit_names": ["g/L", "%", "/L", "fL", "%", "/L", "fL", "fL", "%", "/L"], "ground_truths": [0, 1, 1, 0, 1, 1, -1, 1, -1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 血红蛋白 (HGB): 99.56 (g/L)\n- 白细胞计数 (WBC): 10.36 (1e+09/L)\n- 红细胞比容 (HCT): 1 (%)\n- 红细胞分布宽度标准差 (RDW-SD): 89.48 (fL)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["血红蛋白", "白细胞计数", "红细胞比容", "红细胞分布宽度标准差", "中性粒细胞比率"], "values": [99.56, 10.36, 1, 89.48, 1], "unit_values": [1, 1000000000.0, 1, 1, 1], "unit_names": ["g/L", "/L", "%", "fL", "%"], "ground_truths": [-1, 1, -1, 1, -1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 血小板 (PLT): 49.02 (1e+10/L)\n- 淋巴细胞绝对值 (LYMPH#): 4.31 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["血小板", "淋巴细胞绝对值"], "values": [49.02, 4.31], "unit_values": [10000000000.0, 1000000000.0], "unit_names": ["/L", "/L"], "ground_truths": [1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 单核细胞比率 (MONO%): 1 (%)\n- 嗜碱细胞绝对值 (BASO#): 0.05 (1e+09/L)\n- 红细胞比容 (HCT): 1 (%)\n- 嗜酸细胞绝对值 (EO#): 0.51 (1e+09/L)\n- 平均血小板体积 (MPV): 8.24 (fL)\n- 平均红细胞容积 (MCV): 70.14 (fL)\n- 红细胞计数 (RBC): 5.51 (1e+12/L)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 大血小板比率 (P-LCR): 1 (%)\n- 淋巴细胞绝对值 (LYMPH#): 3.31 (1e+09/L)\n- 平均红细胞血红蛋白量 (MCH): 44.42 (pg)\n- 红细胞分布宽度标准差 (RDW-SD): 43.84 (fL)\n- 平均红细胞血红蛋白浓度 (MCHC): 347.92 (g/L)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 单核细胞绝对值 (MONO#): 0.99 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["单核细胞比率", "嗜碱细胞绝对值", "红细胞比容", "嗜酸细胞绝对值", "平均血小板体积", "平均红细胞容积", "红细胞计数", "红细胞分布宽度变异系数", "大血小板比率", "淋巴细胞绝对值", "平均红细胞血红蛋白量", "红细胞分布宽度标准差", "平均红细胞血红蛋白浓度", "淋巴细胞比率", "单核细胞绝对值"], "values": [1, 0.05, 1, 0.51, 8.24, 70.14, 5.51, 1, 1, 3.31, 44.42, 43.84, 347.92, 1, 0.99], "unit_values": [1, 1000000000.0, 1, 1000000000.0, 1, 1, 1000000000000.0, 1, 1, 1000000000.0, 1, 1, 1, 1, 1000000000.0], "unit_names": ["%", "/L", "%", "/L", "fL", "fL", "/L", "%", "%", "/L", "pg", "fL", "g/L", "%", "/L"], "ground_truths": [1, 0, -1, 0, -1, -1, 0, 1, 1, 1, 1, 0, 0, 1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 中性粒细胞绝对值 (NEUT#): 11.19 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["中性粒细胞绝对值"], "values": [11.19], "unit_values": [1000000000.0], "unit_names": ["/L"], "ground_truths": [1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 嗜碱细胞比率 (BASO%): 0.17 (%)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 红细胞比容 (HCT): 1 (%)\n- 嗜碱细胞绝对值 (BASO#): 0.09 (1e+09/L)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 单核细胞绝对值 (MONO#): 0.63 (1e+09/L)\n- 嗜酸细胞绝对值 (EO#): 1.06 (1e+09/L)\n- 中性粒细胞绝对值 (NEUT#): 0.61 (1e+09/L)\n- 淋巴细胞绝对值 (LYMPH#): 2.96 (1e+09/L)\n- 平均红细胞容积 (MCV): 87.61 (fL)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["嗜碱细胞比率", "红细胞分布宽度变异系数", "红细胞比容", "嗜碱细胞绝对值", "中性粒细胞比率", "单核细胞绝对值", "嗜酸细胞绝对值", "中性粒细胞绝对值", "淋巴细胞绝对值", "平均红细胞容积"], "values": [0.17, 1, 1, 0.09, 1, 0.63, 1.06, 0.61, 2.96, 87.61], "unit_values": [1, 1, 1, 1000000000.0, 1, 1000000000.0, 1000000000.0, 1000000000.0, 1000000000.0, 1], "unit_names": ["%", "%", "%", "/L", "%", "/L", "/L", "/L", "/L", "fL"], "ground_truths": [0, 1, -1, 1, 0, 1, 1, -1, 0, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 嗜酸细胞比率 (EO%): 1 (%)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 血红蛋白 (HGB): 129.97 (g/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["嗜酸细胞比率", "淋巴细胞比率", "血红蛋白"], "values": [1, 1, 129.97], "unit_values": [1, 1, 1], "unit_names": ["%", "%", "g/L"], "ground_truths": [0, 1, -1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 血小板体积分数 (PCT): 0.18 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["血小板体积分数"], "values": [0.18], "unit_values": [1], "unit_names": ["%"], "ground_truths": [0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 单核细胞比率 (MONO%): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["单核细胞比率"], "values": [1], "unit_values": [1], "unit_names": ["%"], "ground_truths": [1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 血红蛋白 (HGB): 87.19 (g/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["血红蛋白"], "values": [87.19], "unit_values": [1], "unit_names": ["g/L"], "ground_truths": [-1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 平均红细胞容积 (MCV): 76.62 (fL)\n- 嗜酸细胞比率 (EO%): 1 (%)\n- 血小板体积分数 (PCT): 0.53 (%)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["平均红细胞容积", "嗜酸细胞比率", "血小板体积分数", "红细胞分布宽度变异系数"], "values": [76.62, 1, 0.53, 1], "unit_values": [1, 1, 1, 1], "unit_names": ["fL", "%", "%", "%"], "ground_truths": [-1, 1, 1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 血小板体积分数 (PCT): 0.02 (%)\n- 嗜酸细胞比率 (EO%): 1 (%)\n- 平均红细胞血红蛋白浓度 (MCHC): 361.6 (g/L)\n- 红细胞比容 (HCT): 1 (%)\n- 红细胞计数 (RBC): 3.95 (1e+12/L)\n- 平均红细胞血红蛋白量 (MCH): 43.17 (pg)\n- 平均红细胞容积 (MCV): 86.45 (fL)\n- 嗜碱细胞比率 (BASO%): 0.87 (%)\n- 血红蛋白 (HGB): 153.56 (g/L)\n- 血小板 (PLT): 213.18 (1e+09/L)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 红细胞分布宽度标准差 (RDW-SD): 82.45 (fL)\n- 嗜碱细胞绝对值 (BASO#): 0.15 (1e+09/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["血小板体积分数", "嗜酸细胞比率", "平均红细胞血红蛋白浓度", "红细胞比容", "红细胞计数", "平均红细胞血红蛋白量", "平均红细胞容积", "嗜碱细胞比率", "血红蛋白", "血小板", "中性粒细胞比率", "红细胞分布宽度标准差", "嗜碱细胞绝对值"], "values": [0.02, 1, 361.6, 1, 3.95, 43.17, 86.45, 0.87, 153.56, 213.18, 1, 82.45, 0.15], "unit_values": [1, 1, 1, 1, 1000000000000.0, 1, 1, 1, 1, 1000000000.0, 1, 1, 1000000000.0], "unit_names": ["%", "%", "g/L", "%", "/L", "pg", "fL", "%", "g/L", "/L", "%", "fL", "/L"], "ground_truths": [-1, 0, 1, -1, -1, 1, 0, 0, 0, 0, 1, 1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 单核细胞绝对值 (MONO#): 0.7 (1e+09/L)\n- 单核细胞比率 (MONO%): 1 (%)\n- 血小板体积分布宽度 (PDW): 8.01 (fL)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 血小板体积分数 (PCT): 0.43 (%)\n- 平均红细胞容积 (MCV): 88.94 (fL)\n- 嗜碱细胞比率 (BASO%): 0.42 (%)\n- 平均红细胞血红蛋白浓度 (MCHC): 345.09 (g/L)\n- 嗜碱细胞绝对值 (BASO#): 0.14 (1e+09/L)\n- 平均红细胞血红蛋白量 (MCH): 21.34 (pg)\n- 嗜酸细胞绝对值 (EO#): 1.01 (1e+09/L)\n- 淋巴细胞绝对值 (LYMPH#): 3.12 (1e+09/L)\n- 血小板 (PLT): 59.79 (1e+09/L)\n- 白细胞计数 (WBC): 18.36 (1e+09/L)\n- 嗜酸细胞比率 (EO%): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["单核细胞绝对值", "单核细胞比率", "血小板体积分布宽度", "中性粒细胞比率", "淋巴细胞比率", "血小板体积分数", "平均红细胞容积", "嗜碱细胞比率", "平均红细胞血红蛋白浓度", "嗜碱细胞绝对值", "平均红细胞血红蛋白量", "嗜酸细胞绝对值", "淋巴细胞绝对值", "血小板", "白细胞计数", "嗜酸细胞比率"], "values": [0.7, 1, 8.01, 1, 1, 0.43, 88.94, 0.42, 345.09, 0.14, 21.34, 1.01, 3.12, 59.79, 18.36, 1], "unit_values": [1000000000.0, 1, 1, 1, 1, 1, 1, 1, 1, 1000000000.0, 1, 1000000000.0, 1000000000.0, 1000000000.0, 1000000000.0, 1], "unit_names": ["/L", "%", "fL", "%", "%", "%", "fL", "%", "g/L", "/L", "pg", "/L", "/L", "/L", "/L", "%"], "ground_truths": [1, 1, -1, 1, 1, 1, 0, 0, 0, 1, -1, 1, 0, -1, 1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 单核细胞比率 (MONO%): 1 (%)\n- 血红蛋白 (HGB): 80.37 (g/L)\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n- 平均红细胞血红蛋白浓度 (MCHC): 370.58 (g/L)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["单核细胞比率", "血红蛋白", "淋巴细胞比率", "平均红细胞血红蛋白浓度"], "values": [1, 80.37, 1, 370.58], "unit_values": [1, 1, 1, 1], "unit_names": ["%", "g/L", "%", "g/L"], "ground_truths": [-1, -1, 0, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 淋巴细胞比率 (LYMPH%): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["淋巴细胞比率"], "values": [1], "unit_values": [1], "unit_names": ["%"], "ground_truths": [0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 血小板体积分数 (PCT): 0.22 (%)\n- 大血小板比率 (P-LCR): 1 (%)\n- 嗜碱细胞比率 (BASO%): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["血小板体积分数", "大血小板比率", "嗜碱细胞比率"], "values": [0.22, 1, 1], "unit_values": [1, 1, 1], "unit_names": ["%", "%", "%"], "ground_truths": [0, -1, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞分布宽度标准差 (RDW-SD): 59.57 (fL)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞分布宽度标准差"], "values": [59.57], "unit_values": [1], "unit_names": ["fL"], "ground_truths": [1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 平均红细胞血红蛋白浓度 (MCHC): 266.9 (g/L)\n- 大血小板比率 (P-LCR): 1 (%)\n- 嗜碱细胞比率 (BASO%): 1 (%)\n- 平均血小板体积 (MPV): 16.02 (fL)\n- 单核细胞比率 (MONO%): 1 (%)\n- 嗜碱细胞绝对值 (BASO#): 0.12 (1e+09/L)\n- 嗜酸细胞绝对值 (EO#): 0.86 (1e+09/L)\n- 嗜酸细胞比率 (EO%): 1 (%)\n- 血小板体积分布宽度 (PDW): 15.22 (fL)\n- 平均红细胞容积 (MCV): 74.38 (fL)\n- 中性粒细胞比率 (NEUT%): 1 (%)\n- 红细胞计数 (RBC): 3.7 (1e+12/L)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 单核细胞绝对值 (MONO#): 0.62 (1e+09/L)\n- 淋巴细胞绝对值 (LYMPH#): 6.27 (1e+09/L)\n- 血小板 (PLT): 428.78 (1e+09/L)\n- 红细胞比容 (HCT): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["平均红细胞血红蛋白浓度", "大血小板比率", "嗜碱细胞比率", "平均血小板体积", "单核细胞比率", "嗜碱细胞绝对值", "嗜酸细胞绝对值", "嗜酸细胞比率", "血小板体积分布宽度", "平均红细胞容积", "中性粒细胞比率", "红细胞计数", "红细胞分布宽度变异系数", "单核细胞绝对值", "淋巴细胞绝对值", "血小板", "红细胞比容"], "values": [266.9, 1, 1, 16.02, 1, 0.12, 0.86, 1, 15.22, 74.38, 1, 3.7, 1, 0.62, 6.27, 428.78, 1], "unit_values": [1, 1, 1, 1, 1, 1000000000.0, 1000000000.0, 1, 1, 1, 1, 1000000000000.0, 1, 1000000000.0, 1000000000.0, 1000000000.0, 1], "unit_names": ["g/L", "%", "%", "fL", "%", "/L", "/L", "%", "fL", "fL", "%", "/L", "%", "/L", "/L", "/L", "%"], "ground_truths": [-1, -1, 1, 1, 0, 1, 1, 0, 0, -1, 1, -1, 0, 1, 1, 1, 0]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 血小板体积分数 (PCT): 0.18 (%)\n- 单核细胞比率 (MONO%): 1 (%)\n- 红细胞比容 (HCT): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["血小板体积分数", "单核细胞比率", "红细胞比容"], "values": [0.18, 1, 1], "unit_values": [1, 1, 1], "unit_names": ["%", "%", "%"], "ground_truths": [0, 0, 1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 红细胞比容 (HCT): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["红细胞比容"], "values": [1], "unit_values": [1], "unit_names": ["%"], "ground_truths": [-1]}}
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{"data_source": "BloodTestJudgement", "prompt": "You are a medical expert in hematology and clinical laboratory interpretation. Below are several blood test results:\n\n- 平均红细胞容积 (MCV): 83.54 (fL)\n- 红细胞分布宽度变异系数 (RDW-c): 1 (%)\n- 红细胞比容 (HCT): 1 (%)\n\nFor each result, use your knowledge of healthy reference ranges of each item to determine whether the value is too low, normal, or too high. Use one of the following integers for each judgement: -1 (too low), 0 (within heathly reference range), or 1 (too high). You MUST output **ONLY ONE** Python-style list for your judgements (e.g. `[-1, 0, 1]`) in the same order as the input blood test results.", "ground_truth": {"item_names": ["平均红细胞容积", "红细胞分布宽度变异系数", "红细胞比容"], "values": [83.54, 1, 1], "unit_values": [1, 1, 1], "unit_names": ["fL", "%", "%"], "ground_truths": [0, 0, 1]}}
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