| {"chart": "chart_0052_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0052_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0052_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0052_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0052_other_q3.json"], "candidates": [{"chart": "chart_0052_other", "question": "这个直方图在 x 轴上包含哪些性别类别？", "answer": "Female 和 Male", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个直方图在 x 轴上包含哪些性别类别？\",\n \"answer\": \"Female 和 Male\"\n },\n {\n \"question\": \"图例中区分吸烟状态的两个分组名称是什么？\",\n \"answer\": \"No 和 Yes\"\n },\n {\n \"question\": \"表示吸烟者为 Yes 的直方图使用的颜色是什么？\",\n \"answer\": \"#EF553B\"\n }\n]"}, {"chart": "chart_0052_other", "question": "图例中区分吸烟状态的两个分组名称是什么？", "answer": "No 和 Yes", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个直方图在 x 轴上包含哪些性别类别？\",\n \"answer\": \"Female 和 Male\"\n },\n {\n \"question\": \"图例中区分吸烟状态的两个分组名称是什么？\",\n \"answer\": \"No 和 Yes\"\n },\n {\n \"question\": \"表示吸烟者为 Yes 的直方图使用的颜色是什么？\",\n \"answer\": \"#EF553B\"\n }\n]"}, {"chart": "chart_0052_other", "question": "表示吸烟者为 Yes 的直方图使用的颜色是什么？", "answer": "#EF553B", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个直方图在 x 轴上包含哪些性别类别？\",\n \"answer\": \"Female 和 Male\"\n },\n {\n \"question\": \"图例中区分吸烟状态的两个分组名称是什么？\",\n \"answer\": \"No 和 Yes\"\n },\n {\n \"question\": \"表示吸烟者为 Yes 的直方图使用的颜色是什么？\",\n \"answer\": \"#EF553B\"\n }\n]"}, {"chart": "chart_0052_other", "question": "图表中显示了哪两种吸烟者状态？", "answer": "No和Yes", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"图表中显示了哪两种吸烟者状态？\",\n \"answer\": \"No和Yes\"\n },\n {\n \"question\": \"x轴表示什么变量？\",\n \"answer\": \"性别（sex）\"\n },\n {\n \"question\": \"在图表中，用于聚合total_bill的直方图函数是什么？\",\n \"answer\": \"sum\"\n }\n]"}, {"chart": "chart_0052_other", "question": "x轴表示什么变量？", "answer": "性别（sex）", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"图表中显示了哪两种吸烟者状态？\",\n \"answer\": \"No和Yes\"\n },\n {\n \"question\": \"x轴表示什么变量？\",\n \"answer\": \"性别（sex）\"\n },\n {\n \"question\": \"在图表中，用于聚合total_bill的直方图函数是什么？\",\n \"answer\": \"sum\"\n }\n]"}, {"chart": "chart_0052_other", "question": "在图表中，用于聚合total_bill的直方图函数是什么？", "answer": "sum", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"图表中显示了哪两种吸烟者状态？\",\n \"answer\": \"No和Yes\"\n },\n {\n \"question\": \"x轴表示什么变量？\",\n \"answer\": \"性别（sex）\"\n },\n {\n \"question\": \"在图表中，用于聚合total_bill的直方图函数是什么？\",\n \"answer\": \"sum\"\n }\n]"}], "reviews": [{"question": "这个直方图在 x 轴上包含哪些性别类别？", "answer": "Female 和 Male", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "图例中区分吸烟状态的两个分组名称是什么？", "answer": "No 和 Yes", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "表示吸烟者为 Yes 的直方图使用的颜色是什么？", "answer": "#EF553B", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "图表中显示了哪两种吸烟者状态？", "answer": "No和Yes", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "x轴表示什么变量？", "answer": "性别（sex）", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在图表中，用于聚合total_bill的直方图函数是什么？", "answer": "sum", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "这个直方图在 x 轴上包含哪些性别类别？", "answer": "Female 和 Male", "passed": true, "score": 10.0}, {"question": "图例中区分吸烟状态的两个分组名称是什么？", "answer": "No 和 Yes", "passed": true, "score": 10.0}, {"question": "表示吸烟者为 Yes 的直方图使用的颜色是什么？", "answer": "#EF553B", "passed": true, "score": 10.0}], "semantic_dedup": {"enabled": true, "provider": "deepseek", "model": "deepseek-chat", "same_question_threshold": 75, "max_pair_checks": 20, "removed_initial": [{"dropped_question": "图表中显示了哪两种吸烟者状态？", "kept_question": "图例中区分吸烟状态的两个分组名称是什么？", "similarity": 95.0, "reason": "Both questions ask for the two categories of smoking status shown in the chart, with Question A referring to '吸烟者状态' and Question B to '吸烟状态的两个分组名称', both answered as 'No' and 'Yes'."}], "removed_after_repair": []}} | |
| {"chart": "chart_0054_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0054_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0054_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0054_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0054_other_q3.json"], "candidates": [{"chart": "chart_0054_other", "question": "在这个旭日图中，哪个标签对应的数值最大，其数值是多少？", "answer": "Cain 的数值最大，为 14。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个旭日图中，哪个标签对应的数值最大，其数值是多少？\",\n \"answer\": \"Cain 的数值最大，为 14。\"\n },\n {\n \"question\": \"在 Seth 的子节点中，Enos 和 Noam 谁的数值更大，各是多少？\",\n \"answer\": \"Enos 的数值更大，Enos 为 10，Noam 为 2。\"\n },\n {\n \"question\": \"图中数值等于 4 的标签有几个，分别是哪两个？\",\n \"answer\": \"有 2 个，分别是 Enoch 和 Azura。\"\n }\n]"}, {"chart": "chart_0054_other", "question": "在 Seth 的子节点中，Enos 和 Noam 谁的数值更大，各是多少？", "answer": "Enos 的数值更大，Enos 为 10，Noam 为 2。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个旭日图中，哪个标签对应的数值最大，其数值是多少？\",\n \"answer\": \"Cain 的数值最大，为 14。\"\n },\n {\n \"question\": \"在 Seth 的子节点中，Enos 和 Noam 谁的数值更大，各是多少？\",\n \"answer\": \"Enos 的数值更大，Enos 为 10，Noam 为 2。\"\n },\n {\n \"question\": \"图中数值等于 4 的标签有几个，分别是哪两个？\",\n \"answer\": \"有 2 个，分别是 Enoch 和 Azura。\"\n }\n]"}, {"chart": "chart_0054_other", "question": "图中数值等于 4 的标签有几个，分别是哪两个？", "answer": "有 2 个，分别是 Enoch 和 Azura。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个旭日图中，哪个标签对应的数值最大，其数值是多少？\",\n \"answer\": \"Cain 的数值最大，为 14。\"\n },\n {\n \"question\": \"在 Seth 的子节点中，Enos 和 Noam 谁的数值更大，各是多少？\",\n \"answer\": \"Enos 的数值更大，Enos 为 10，Noam 为 2。\"\n },\n {\n \"question\": \"图中数值等于 4 的标签有几个，分别是哪两个？\",\n \"answer\": \"有 2 个，分别是 Enoch 和 Azura。\"\n }\n]"}, {"chart": "chart_0054_other", "question": "Which node has the largest value?", "answer": "Cain", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"Which node has the largest value?\",\n \"answer\": \"Cain\"\n },\n {\n \"question\": \"Among Eve's direct children, which node has the smallest value?\",\n \"answer\": \"Azura\"\n },\n {\n \"question\": \"What is the parent node of Enos?\",\n \"answer\": \"Seth\"\n }\n]"}, {"chart": "chart_0054_other", "question": "Among Eve's direct children, which node has the smallest value?", "answer": "Azura", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"Which node has the largest value?\",\n \"answer\": \"Cain\"\n },\n {\n \"question\": \"Among Eve's direct children, which node has the smallest value?\",\n \"answer\": \"Azura\"\n },\n {\n \"question\": \"What is the parent node of Enos?\",\n \"answer\": \"Seth\"\n }\n]"}, {"chart": "chart_0054_other", "question": "What is the parent node of Enos?", "answer": "Seth", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"Which node has the largest value?\",\n \"answer\": \"Cain\"\n },\n {\n \"question\": \"Among Eve's direct children, which node has the smallest value?\",\n \"answer\": \"Azura\"\n },\n {\n \"question\": \"What is the parent node of Enos?\",\n \"answer\": \"Seth\"\n }\n]"}], "reviews": [{"question": "在这个旭日图中，哪个标签对应的数值最大，其数值是多少？", "answer": "Cain 的数值最大，为 14。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在 Seth 的子节点中，Enos 和 Noam 谁的数值更大，各是多少？", "answer": "Enos 的数值更大，Enos 为 10，Noam 为 2。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "图中数值等于 4 的标签有几个，分别是哪两个？", "answer": "有 2 个，分别是 Enoch 和 Azura。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "Which node has the largest value?", "answer": "Cain", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "Among Eve's direct children, which node has the smallest value?", "answer": "Azura", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "What is the parent node of Enos?", "answer": "Seth", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "在这个旭日图中，哪个标签对应的数值最大，其数值是多少？", "answer": "Cain 的数值最大，为 14。", "passed": true, "score": 10.0}, {"question": "在 Seth 的子节点中，Enos 和 Noam 谁的数值更大，各是多少？", "answer": "Enos 的数值更大，Enos 为 10，Noam 为 2。", "passed": true, "score": 10.0}, {"question": "图中数值等于 4 的标签有几个，分别是哪两个？", "answer": "有 2 个，分别是 Enoch 和 Azura。", "passed": true, "score": 10.0}], "semantic_dedup": {"enabled": true, "provider": "deepseek", "model": "deepseek-chat", "same_question_threshold": 75, "max_pair_checks": 20, "removed_initial": [], "removed_after_repair": []}} | |
| {"chart": "chart_0056_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0056_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0056_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0056_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0056_other_q3.json"], "candidates": [{"chart": "chart_0056_other", "question": "According to the chart data, what is the life expectancy value associated with Afghanistan (iso_alpha AFG)?", "answer": "43.828", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"According to the chart data, what is the life expectancy value associated with Afghanistan (iso_alpha AFG)?\",\n \"answer\": \"43.828\"\n },\n {\n \"question\": \"Between Hong Kong, China and Japan, which has the higher life expectancy value in the data?\",\n \"answer\": \"Japan has the higher life expectancy value (82.603 vs 82.208).\"\n },\n {\n \"question\": \"How many top-level regions (continents) are defined as roots in this sunburst chart?\",\n \"answer\": \"5\"\n }\n]"}, {"chart": "chart_0056_other", "question": "Between Hong Kong, China and Japan, which has the higher life expectancy value in the data?", "answer": "Japan has the higher life expectancy value (82.603 vs 82.208).", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"According to the chart data, what is the life expectancy value associated with Afghanistan (iso_alpha AFG)?\",\n \"answer\": \"43.828\"\n },\n {\n \"question\": \"Between Hong Kong, China and Japan, which has the higher life expectancy value in the data?\",\n \"answer\": \"Japan has the higher life expectancy value (82.603 vs 82.208).\"\n },\n {\n \"question\": \"How many top-level regions (continents) are defined as roots in this sunburst chart?\",\n \"answer\": \"5\"\n }\n]"}, {"chart": "chart_0056_other", "question": "How many top-level regions (continents) are defined as roots in this sunburst chart?", "answer": "5", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"According to the chart data, what is the life expectancy value associated with Afghanistan (iso_alpha AFG)?\",\n \"answer\": \"43.828\"\n },\n {\n \"question\": \"Between Hong Kong, China and Japan, which has the higher life expectancy value in the data?\",\n \"answer\": \"Japan has the higher life expectancy value (82.603 vs 82.208).\"\n },\n {\n \"question\": \"How many top-level regions (continents) are defined as roots in this sunburst chart?\",\n \"answer\": \"5\"\n }\n]"}, {"chart": "chart_0056_other", "question": "Which country has the highest life expectancy?", "answer": "Japan (82.603)", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"Which country has the highest life expectancy?\",\n \"answer\": \"Japan (82.603)\"\n },\n {\n \"question\": \"Which continent has the lowest average life expectancy?\",\n \"answer\": \"Africa (54.564)\"\n },\n {\n \"question\": \"What is the life expectancy of the United States?\",\n \"answer\": \"78.242\"\n }\n]"}, {"chart": "chart_0056_other", "question": "Which continent has the lowest average life expectancy?", "answer": "Africa (54.564)", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"Which country has the highest life expectancy?\",\n \"answer\": \"Japan (82.603)\"\n },\n {\n \"question\": \"Which continent has the lowest average life expectancy?\",\n \"answer\": \"Africa (54.564)\"\n },\n {\n \"question\": \"What is the life expectancy of the United States?\",\n \"answer\": \"78.242\"\n }\n]"}, {"chart": "chart_0056_other", "question": "What is the life expectancy of the United States?", "answer": "78.242", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"Which country has the highest life expectancy?\",\n \"answer\": \"Japan (82.603)\"\n },\n {\n \"question\": \"Which continent has the lowest average life expectancy?\",\n \"answer\": \"Africa (54.564)\"\n },\n {\n \"question\": \"What is the life expectancy of the United States?\",\n \"answer\": \"78.242\"\n }\n]"}], "reviews": [{"question": "According to the chart data, what is the life expectancy value associated with Afghanistan (iso_alpha AFG)?", "answer": "43.828", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "Between Hong Kong, China and Japan, which has the higher life expectancy value in the data?", "answer": "Japan has the higher life expectancy value (82.603 vs 82.208).", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "How many top-level regions (continents) are defined as roots in this sunburst chart?", "answer": "5", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "Which country has the highest life expectancy?", "answer": "Japan (82.603)", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "Which continent has the lowest average life expectancy?", "answer": "Africa (54.564)", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "What is the life expectancy of the United States?", "answer": "78.242", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "According to the chart data, what is the life expectancy value associated with Afghanistan (iso_alpha AFG)?", "answer": "43.828", "passed": true, "score": 10.0}, {"question": "Between Hong Kong, China and Japan, which has the higher life expectancy value in the data?", "answer": "Japan has the higher life expectancy value (82.603 vs 82.208).", "passed": true, "score": 10.0}, {"question": "How many top-level regions (continents) are defined as roots in this sunburst chart?", "answer": "5", "passed": true, "score": 10.0}], "semantic_dedup": {"enabled": true, "provider": "deepseek", "model": "deepseek-chat", "same_question_threshold": 75, "max_pair_checks": 20, "removed_initial": [{"dropped_question": "Which country has the highest life expectancy?", "kept_question": "Between Hong Kong, China and Japan, which has the higher life expectancy value in the data?", "similarity": 95.0, "reason": "Both questions ask for the country with the highest life expectancy, with Question B specifying a comparison between two countries that includes the answer to Question A."}], "removed_after_repair": []}} | |
| {"chart": "chart_0058_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0058_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0058_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0058_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0058_other_q3.json"], "candidates": [{"chart": "chart_0058_other", "question": "What is the 'branchvalues' mode used for the sunburst trace in this chart?", "answer": "total", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"What is the 'branchvalues' mode used for the sunburst trace in this chart?\",\n \"answer\": \"total\"\n },\n {\n \"question\": \"In the sunburst hierarchy, which two labels are used as the top-level (root) gender nodes?\",\n \"answer\": \"Male and Female\"\n },\n {\n \"question\": \"In the sunburst trace's customdata, which time value appears more often, 'Dinner' or 'Lunch', and what are their respective counts?\",\n \"answer\": \"Dinner appears more often, with 11 entries versus 5 entries for Lunch.\"\n }\n]"}, {"chart": "chart_0058_other", "question": "In the sunburst hierarchy, which two labels are used as the top-level (root) gender nodes?", "answer": "Male and Female", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"What is the 'branchvalues' mode used for the sunburst trace in this chart?\",\n \"answer\": \"total\"\n },\n {\n \"question\": \"In the sunburst hierarchy, which two labels are used as the top-level (root) gender nodes?\",\n \"answer\": \"Male and Female\"\n },\n {\n \"question\": \"In the sunburst trace's customdata, which time value appears more often, 'Dinner' or 'Lunch', and what are their respective counts?\",\n \"answer\": \"Dinner appears more often, with 11 entries versus 5 entries for Lunch.\"\n }\n]"}, {"chart": "chart_0058_other", "question": "In the sunburst trace's customdata, which time value appears more often, 'Dinner' or 'Lunch', and what are their respective counts?", "answer": "Dinner appears more often, with 11 entries versus 5 entries for Lunch.", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"What is the 'branchvalues' mode used for the sunburst trace in this chart?\",\n \"answer\": \"total\"\n },\n {\n \"question\": \"In the sunburst hierarchy, which two labels are used as the top-level (root) gender nodes?\",\n \"answer\": \"Male and Female\"\n },\n {\n \"question\": \"In the sunburst trace's customdata, which time value appears more often, 'Dinner' or 'Lunch', and what are their respective counts?\",\n \"answer\": \"Dinner appears more often, with 11 entries versus 5 entries for Lunch.\"\n }\n]"}, {"chart": "chart_0058_other", "question": "这个图表是什么类型的可视化图表？", "answer": "sunburst", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"这个图表是什么类型的可视化图表？\",\n \"answer\": \"sunburst\"\n },\n {\n \"question\": \"图表中显示的顶级节点有哪些？\",\n \"answer\": \"Male 和 Female\"\n },\n {\n \"question\": \"在图表的时间信息中，Dinner 和 Lunch 哪个对应的节点数量更多？\",\n \"answer\": \"Dinner\"\n }\n]"}, {"chart": "chart_0058_other", "question": "图表中显示的顶级节点有哪些？", "answer": "Male 和 Female", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"这个图表是什么类型的可视化图表？\",\n \"answer\": \"sunburst\"\n },\n {\n \"question\": \"图表中显示的顶级节点有哪些？\",\n \"answer\": \"Male 和 Female\"\n },\n {\n \"question\": \"在图表的时间信息中，Dinner 和 Lunch 哪个对应的节点数量更多？\",\n \"answer\": \"Dinner\"\n }\n]"}, {"chart": "chart_0058_other", "question": "在图表的时间信息中，Dinner 和 Lunch 哪个对应的节点数量更多？", "answer": "Dinner", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"这个图表是什么类型的可视化图表？\",\n \"answer\": \"sunburst\"\n },\n {\n \"question\": \"图表中显示的顶级节点有哪些？\",\n \"answer\": \"Male 和 Female\"\n },\n {\n \"question\": \"在图表的时间信息中，Dinner 和 Lunch 哪个对应的节点数量更多？\",\n \"answer\": \"Dinner\"\n }\n]"}], "reviews": [{"question": "What is the 'branchvalues' mode used for the sunburst trace in this chart?", "answer": "total", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "In the sunburst hierarchy, which two labels are used as the top-level (root) gender nodes?", "answer": "Male and Female", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "In the sunburst trace's customdata, which time value appears more often, 'Dinner' or 'Lunch', and what are their respective counts?", "answer": "Dinner appears more often, with 11 entries versus 5 entries for Lunch.", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "这个图表是什么类型的可视化图表？", "answer": "sunburst", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "图表中显示的顶级节点有哪些？", "answer": "Male 和 Female", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在图表的时间信息中，Dinner 和 Lunch 哪个对应的节点数量更多？", "answer": "Dinner", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "What is the 'branchvalues' mode used for the sunburst trace in this chart?", "answer": "total", "passed": true, "score": 10.0}, {"question": "In the sunburst hierarchy, which two labels are used as the top-level (root) gender nodes?", "answer": "Male and Female", "passed": true, "score": 10.0}, {"question": "In the sunburst trace's customdata, which time value appears more often, 'Dinner' or 'Lunch', and what are their respective counts?", "answer": "Dinner appears more often, with 11 entries versus 5 entries for Lunch.", "passed": true, "score": 10.0}], "semantic_dedup": {"enabled": true, "provider": "deepseek", "model": "deepseek-chat", "same_question_threshold": 75, "max_pair_checks": 20, "removed_initial": [{"dropped_question": "图表中显示的顶级节点有哪些？", "kept_question": "In the sunburst hierarchy, which two labels are used as the top-level (root) gender nodes?", "similarity": 100.0, "reason": "Both questions ask for the top-level gender nodes in a hierarchical chart, with identical answers (Male and Female)."}, {"dropped_question": "在图表的时间信息中，Dinner 和 Lunch 哪个对应的节点数量更多？", "kept_question": "In the sunburst trace's customdata, which time value appears more often, 'Dinner' or 'Lunch', and what are their respective counts?", "similarity": 95.0, "reason": "Both questions ask which time value ('Dinner' or 'Lunch') has a higher count in the chart data, with Question B explicitly requesting counts while Question A only asks which is more numerous. The core intent and required evidence are identical."}], "removed_after_repair": []}} | |
| {"chart": "chart_0053_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0053_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0053_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0053_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0053_other_q3.json"], "candidates": [{"chart": "chart_0053_other", "question": "图表中用于区分是否吸烟的两条数据系列在图例中的名称分别是什么？", "answer": "“No”和“Yes”。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"图表中用于区分是否吸烟的两条数据系列在图例中的名称分别是什么？\",\n \"answer\": \"“No”和“Yes”。\"\n },\n {\n \"question\": \"横轴 sex 上出现的性别类别有哪些？\",\n \"answer\": \"“Male”和“Female”。\"\n },\n {\n \"question\": \"该图对 total_bill 使用的聚合方式是什么？\",\n \"answer\": \"使用 histfunc=\\\"avg\\\"，即取 total_bill 的平均值。\"\n }\n]"}, {"chart": "chart_0053_other", "question": "横轴 sex 上出现的性别类别有哪些？", "answer": "“Male”和“Female”。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"图表中用于区分是否吸烟的两条数据系列在图例中的名称分别是什么？\",\n \"answer\": \"“No”和“Yes”。\"\n },\n {\n \"question\": \"横轴 sex 上出现的性别类别有哪些？\",\n \"answer\": \"“Male”和“Female”。\"\n },\n {\n \"question\": \"该图对 total_bill 使用的聚合方式是什么？\",\n \"answer\": \"使用 histfunc=\\\"avg\\\"，即取 total_bill 的平均值。\"\n }\n]"}, {"chart": "chart_0053_other", "question": "该图对 total_bill 使用的聚合方式是什么？", "answer": "使用 histfunc=\"avg\"，即取 total_bill 的平均值。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"图表中用于区分是否吸烟的两条数据系列在图例中的名称分别是什么？\",\n \"answer\": \"“No”和“Yes”。\"\n },\n {\n \"question\": \"横轴 sex 上出现的性别类别有哪些？\",\n \"answer\": \"“Male”和“Female”。\"\n },\n {\n \"question\": \"该图对 total_bill 使用的聚合方式是什么？\",\n \"answer\": \"使用 histfunc=\\\"avg\\\"，即取 total_bill 的平均值。\"\n }\n]"}, {"chart": "chart_0053_other", "question": "图表中显示了几种吸烟状态系列？分别是什么？", "answer": "两种吸烟状态系列，分别是 No 和 Yes。", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"图表中显示了几种吸烟状态系列？分别是什么？\",\n \"answer\": \"两种吸烟状态系列，分别是 No 和 Yes。\"\n },\n {\n \"question\": \"x轴代表的数据变量是什么？\",\n \"answer\": \"性别（sex）。\"\n },\n {\n \"question\": \"在非吸烟者（smoker=No）的数据中，哪个性别的数据点数量更多？\",\n \"answer\": \"男性。\"\n }\n]"}, {"chart": "chart_0053_other", "question": "x轴代表的数据变量是什么？", "answer": "性别（sex）。", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"图表中显示了几种吸烟状态系列？分别是什么？\",\n \"answer\": \"两种吸烟状态系列，分别是 No 和 Yes。\"\n },\n {\n \"question\": \"x轴代表的数据变量是什么？\",\n \"answer\": \"性别（sex）。\"\n },\n {\n \"question\": \"在非吸烟者（smoker=No）的数据中，哪个性别的数据点数量更多？\",\n \"answer\": \"男性。\"\n }\n]"}, {"chart": "chart_0053_other", "question": "在非吸烟者（smoker=No）的数据中，哪个性别的数据点数量更多？", "answer": "男性。", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"图表中显示了几种吸烟状态系列？分别是什么？\",\n \"answer\": \"两种吸烟状态系列，分别是 No 和 Yes。\"\n },\n {\n \"question\": \"x轴代表的数据变量是什么？\",\n \"answer\": \"性别（sex）。\"\n },\n {\n \"question\": \"在非吸烟者（smoker=No）的数据中，哪个性别的数据点数量更多？\",\n \"answer\": \"男性。\"\n }\n]"}], "reviews": [{"question": "图表中用于区分是否吸烟的两条数据系列在图例中的名称分别是什么？", "answer": "“No”和“Yes”。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "横轴 sex 上出现的性别类别有哪些？", "answer": "“Male”和“Female”。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "该图对 total_bill 使用的聚合方式是什么？", "answer": "使用 histfunc=\"avg\"，即取 total_bill 的平均值。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "图表中显示了几种吸烟状态系列？分别是什么？", "answer": "两种吸烟状态系列，分别是 No 和 Yes。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "x轴代表的数据变量是什么？", "answer": "性别（sex）。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在非吸烟者（smoker=No）的数据中，哪个性别的数据点数量更多？", "answer": "男性。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "图表中用于区分是否吸烟的两条数据系列在图例中的名称分别是什么？", "answer": "“No”和“Yes”。", "passed": true, "score": 10.0}, {"question": "横轴 sex 上出现的性别类别有哪些？", "answer": "“Male”和“Female”。", "passed": true, "score": 10.0}, {"question": "该图对 total_bill 使用的聚合方式是什么？", "answer": "使用 histfunc=\"avg\"，即取 total_bill 的平均值。", "passed": true, "score": 10.0}], "semantic_dedup": {"enabled": true, "provider": "deepseek", "model": "deepseek-chat", "same_question_threshold": 75, "max_pair_checks": 20, "removed_initial": [{"dropped_question": "图表中显示了几种吸烟状态系列？分别是什么？", "kept_question": "图表中用于区分是否吸烟的两条数据系列在图例中的名称分别是什么？", "similarity": 95.0, "reason": "Both questions ask for the names of the two data series in the chart's legend that distinguish smoking status, with the answers being 'No' and 'Yes'."}], "removed_after_repair": []}} | |
| {"chart": "chart_0064_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0064_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0064_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0064_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0064_other_q3.json"], "candidates": [{"chart": "chart_0064_other", "question": "How many top-level flavor categories (nodes with a null parent) are defined in this sunburst chart?", "answer": "17", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"How many top-level flavor categories (nodes with a null parent) are defined in this sunburst chart?\",\n \"answer\": \"17\"\n },\n {\n \"question\": \"In the sunburst hierarchy, which two subcategories are directly under the top-level category 'Fruity'?\",\n \"answer\": \"Citrus and Berry-like\"\n },\n {\n \"question\": \"Comparing the innermost flavor descriptors, does the top-level category 'Flowery' have more, fewer, or the same number of leaf nodes as 'Herby', and how many does each have?\",\n \"answer\": \"They have the same number of leaf nodes: 4 under Flowery and 4 under Herby.\"\n }\n]"}, {"chart": "chart_0064_other", "question": "In the sunburst hierarchy, which two subcategories are directly under the top-level category 'Fruity'?", "answer": "Citrus and Berry-like", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"How many top-level flavor categories (nodes with a null parent) are defined in this sunburst chart?\",\n \"answer\": \"17\"\n },\n {\n \"question\": \"In the sunburst hierarchy, which two subcategories are directly under the top-level category 'Fruity'?\",\n \"answer\": \"Citrus and Berry-like\"\n },\n {\n \"question\": \"Comparing the innermost flavor descriptors, does the top-level category 'Flowery' have more, fewer, or the same number of leaf nodes as 'Herby', and how many does each have?\",\n \"answer\": \"They have the same number of leaf nodes: 4 under Flowery and 4 under Herby.\"\n }\n]"}, {"chart": "chart_0064_other", "question": "Comparing the innermost flavor descriptors, does the top-level category 'Flowery' have more, fewer, or the same number of leaf nodes as 'Herby', and how many does each have?", "answer": "They have the same number of leaf nodes: 4 under Flowery and 4 under Herby.", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"How many top-level flavor categories (nodes with a null parent) are defined in this sunburst chart?\",\n \"answer\": \"17\"\n },\n {\n \"question\": \"In the sunburst hierarchy, which two subcategories are directly under the top-level category 'Fruity'?\",\n \"answer\": \"Citrus and Berry-like\"\n },\n {\n \"question\": \"Comparing the innermost flavor descriptors, does the top-level category 'Flowery' have more, fewer, or the same number of leaf nodes as 'Herby', and how many does each have?\",\n \"answer\": \"They have the same number of leaf nodes: 4 under Flowery and 4 under Herby.\"\n }\n]"}, {"chart": "chart_0064_other", "question": "How many top-level nodes are in the sunburst chart?", "answer": "17", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"How many top-level nodes are in the sunburst chart?\",\n \"answer\": \"17\"\n },\n {\n \"question\": \"What is the parent node of the label 'Floral'?\",\n \"answer\": \"Enzymatic-Flowery\"\n },\n {\n \"question\": \"What is the maximum depth of the hierarchy in the chart?\",\n \"answer\": \"2\"\n }\n]"}, {"chart": "chart_0064_other", "question": "What is the parent node of the label 'Floral'?", "answer": "Enzymatic-Flowery", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"How many top-level nodes are in the sunburst chart?\",\n \"answer\": \"17\"\n },\n {\n \"question\": \"What is the parent node of the label 'Floral'?\",\n \"answer\": \"Enzymatic-Flowery\"\n },\n {\n \"question\": \"What is the maximum depth of the hierarchy in the chart?\",\n \"answer\": \"2\"\n }\n]"}, {"chart": "chart_0064_other", "question": "What is the maximum depth of the hierarchy in the chart?", "answer": "2", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"How many top-level nodes are in the sunburst chart?\",\n \"answer\": \"17\"\n },\n {\n \"question\": \"What is the parent node of the label 'Floral'?\",\n \"answer\": \"Enzymatic-Flowery\"\n },\n {\n \"question\": \"What is the maximum depth of the hierarchy in the chart?\",\n \"answer\": \"2\"\n }\n]"}], "reviews": [{"question": "How many top-level flavor categories (nodes with a null parent) are defined in this sunburst chart?", "answer": "17", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "In the sunburst hierarchy, which two subcategories are directly under the top-level category 'Fruity'?", "answer": "Citrus and Berry-like", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "Comparing the innermost flavor descriptors, does the top-level category 'Flowery' have more, fewer, or the same number of leaf nodes as 'Herby', and how many does each have?", "answer": "They have the same number of leaf nodes: 4 under Flowery and 4 under Herby.", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "How many top-level nodes are in the sunburst chart?", "answer": "17", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "What is the parent node of the label 'Floral'?", "answer": "Enzymatic-Flowery", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "What is the maximum depth of the hierarchy in the chart?", "answer": "2", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "How many top-level flavor categories (nodes with a null parent) are defined in this sunburst chart?", "answer": "17", "passed": true, "score": 10.0}, {"question": "In the sunburst hierarchy, which two subcategories are directly under the top-level category 'Fruity'?", "answer": "Citrus and Berry-like", "passed": true, "score": 10.0}, {"question": "Comparing the innermost flavor descriptors, does the top-level category 'Flowery' have more, fewer, or the same number of leaf nodes as 'Herby', and how many does each have?", "answer": "They have the same number of leaf nodes: 4 under Flowery and 4 under Herby.", "passed": true, "score": 10.0}], "semantic_dedup": {"enabled": true, "provider": "deepseek", "model": "deepseek-chat", "same_question_threshold": 75, "max_pair_checks": 20, "removed_initial": [{"dropped_question": "How many top-level nodes are in the sunburst chart?", "kept_question": "How many top-level flavor categories (nodes with a null parent) are defined in this sunburst chart?", "similarity": 100.0, "reason": "Both questions ask for the count of top-level nodes, which are defined as nodes with a null parent, making them semantically identical."}], "removed_after_repair": []}} | |
| {"chart": "chart_0061_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0061_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0061_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0061_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0061_other_q3.json"], "candidates": [{"chart": "chart_0061_other", "question": "图中有哪三个顶层区域（父节点为空的标签）？", "answer": "North America、Europe、Australia", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"图中有哪三个顶层区域（父节点为空的标签）？\",\n \"answer\": \"North America、Europe、Australia\"\n },\n {\n \"question\": \"在这个层级结构中，Australia - Rugby 直接包含多少个子类别？\",\n \"answer\": \"2 个子类别：Rugby League 和 Rugby Union\"\n },\n {\n \"question\": \"在顶层区域中，哪个或哪些区域拥有最多的直接子类别？\",\n \"answer\": \"North America 和 Europe，它们各有 3 个直接子类别\"\n }\n]"}, {"chart": "chart_0061_other", "question": "在这个层级结构中，Australia - Rugby 直接包含多少个子类别？", "answer": "2 个子类别：Rugby League 和 Rugby Union", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"图中有哪三个顶层区域（父节点为空的标签）？\",\n \"answer\": \"North America、Europe、Australia\"\n },\n {\n \"question\": \"在这个层级结构中，Australia - Rugby 直接包含多少个子类别？\",\n \"answer\": \"2 个子类别：Rugby League 和 Rugby Union\"\n },\n {\n \"question\": \"在顶层区域中，哪个或哪些区域拥有最多的直接子类别？\",\n \"answer\": \"North America 和 Europe，它们各有 3 个直接子类别\"\n }\n]"}, {"chart": "chart_0061_other", "question": "在顶层区域中，哪个或哪些区域拥有最多的直接子类别？", "answer": "North America 和 Europe，它们各有 3 个直接子类别", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"图中有哪三个顶层区域（父节点为空的标签）？\",\n \"answer\": \"North America、Europe、Australia\"\n },\n {\n \"question\": \"在这个层级结构中，Australia - Rugby 直接包含多少个子类别？\",\n \"answer\": \"2 个子类别：Rugby League 和 Rugby Union\"\n },\n {\n \"question\": \"在顶层区域中，哪个或哪些区域拥有最多的直接子类别？\",\n \"answer\": \"North America 和 Europe，它们各有 3 个直接子类别\"\n }\n]"}, {"chart": "chart_0061_other", "question": "根节点中哪个地区显示了最多的直接子节点（运动类型）？", "answer": "Australia", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"根节点中哪个地区显示了最多的直接子节点（运动类型）？\",\n \"answer\": \"Australia\"\n },\n {\n \"question\": \"North America和Europe的直接子节点数量是否相同？\",\n \"answer\": \"是，都是3\"\n },\n {\n \"question\": \"在Australia节点下，Rugby有多少个子类别？\",\n \"answer\": \"2\"\n }\n]"}, {"chart": "chart_0061_other", "question": "North America和Europe的直接子节点数量是否相同？", "answer": "是，都是3", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"根节点中哪个地区显示了最多的直接子节点（运动类型）？\",\n \"answer\": \"Australia\"\n },\n {\n \"question\": \"North America和Europe的直接子节点数量是否相同？\",\n \"answer\": \"是，都是3\"\n },\n {\n \"question\": \"在Australia节点下，Rugby有多少个子类别？\",\n \"answer\": \"2\"\n }\n]"}, {"chart": "chart_0061_other", "question": "在Australia节点下，Rugby有多少个子类别？", "answer": "2", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"根节点中哪个地区显示了最多的直接子节点（运动类型）？\",\n \"answer\": \"Australia\"\n },\n {\n \"question\": \"North America和Europe的直接子节点数量是否相同？\",\n \"answer\": \"是，都是3\"\n },\n {\n \"question\": \"在Australia节点下，Rugby有多少个子类别？\",\n \"answer\": \"2\"\n }\n]"}], "reviews": [{"question": "图中有哪三个顶层区域（父节点为空的标签）？", "answer": "North America、Europe、Australia", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在这个层级结构中，Australia - Rugby 直接包含多少个子类别？", "answer": "2 个子类别：Rugby League 和 Rugby Union", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在顶层区域中，哪个或哪些区域拥有最多的直接子类别？", "answer": "North America 和 Europe，它们各有 3 个直接子类别", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "根节点中哪个地区显示了最多的直接子节点（运动类型）？", "answer": "Australia", "passed": false, "score": 0.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "fail", "score": 0.0, "issues": ["候选答案声称Australia有最多的直接子节点，但数据显示Australia只有一个直接子节点（'Australia - Football'），而North America和Europe各有三个直接子节点。"], "suggestion": "将答案改为'North America'或'Europe'，或改写问题为'根节点中哪个地区显示了最少的直接子节点（运动类型）？' 答案'Australia'。", "grounded": false}]}, {"question": "North America和Europe的直接子节点数量是否相同？", "answer": "是，都是3", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在Australia节点下，Rugby有多少个子类别？", "answer": "2", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "图中有哪三个顶层区域（父节点为空的标签）？", "answer": "North America、Europe、Australia", "passed": true, "score": 10.0}, {"question": "在这个层级结构中，Australia - Rugby 直接包含多少个子类别？", "answer": "2 个子类别：Rugby League 和 Rugby Union", "passed": true, "score": 10.0}, {"question": "在顶层区域中，哪个或哪些区域拥有最多的直接子类别？", "answer": "North America 和 Europe，它们各有 3 个直接子类别", "passed": true, "score": 10.0}], "semantic_dedup": {"enabled": true, "provider": "deepseek", "model": "deepseek-chat", "same_question_threshold": 75, "max_pair_checks": 20, "removed_initial": [{"dropped_question": "North America和Europe的直接子节点数量是否相同？", "kept_question": "在顶层区域中，哪个或哪些区域拥有最多的直接子类别？", "similarity": 95.0, "reason": "Both questions ask for a comparison of the number of direct subcategories in top-level regions, specifically focusing on North America and Europe having the same count of three."}, {"dropped_question": "在Australia节点下，Rugby有多少个子类别？", "kept_question": "在这个层级结构中，Australia - Rugby 直接包含多少个子类别？", "similarity": 100.0, "reason": "Both questions ask for the number of direct subcategories under 'Australia - Rugby' in the hierarchy, requiring identical data from the chart."}], "removed_after_repair": []}} | |
| {"chart": "chart_0059_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0059_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0059_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0059_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0059_other_q3.json"], "candidates": [{"chart": "chart_0059_other", "question": "这个旭日图中有几个根节点（父节点为空），它们分别是什么？", "answer": "有 2 个根节点，分别是 Male 和 Female。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个旭日图中有几个根节点（父节点为空），它们分别是什么？\",\n \"answer\": \"有 2 个根节点，分别是 Male 和 Female。\"\n },\n {\n \"question\": \"图中标签为 \\\"Dinner\\\" 的节点有多少个？\",\n \"answer\": \"共有 7 个标签为 \\\"Dinner\\\" 的节点。\"\n },\n {\n \"question\": \"在男女两个根节点下出现的星期几子节点集合是否相同？如果相同，这些星期几分别是什么？\",\n \"answer\": \"相同，都是 Fri、Sat、Sun 和 Thur。\"\n }\n]"}, {"chart": "chart_0059_other", "question": "图中标签为 \"Dinner\" 的节点有多少个？", "answer": "共有 7 个标签为 \"Dinner\" 的节点。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个旭日图中有几个根节点（父节点为空），它们分别是什么？\",\n \"answer\": \"有 2 个根节点，分别是 Male 和 Female。\"\n },\n {\n \"question\": \"图中标签为 \\\"Dinner\\\" 的节点有多少个？\",\n \"answer\": \"共有 7 个标签为 \\\"Dinner\\\" 的节点。\"\n },\n {\n \"question\": \"在男女两个根节点下出现的星期几子节点集合是否相同？如果相同，这些星期几分别是什么？\",\n \"answer\": \"相同，都是 Fri、Sat、Sun 和 Thur。\"\n }\n]"}, {"chart": "chart_0059_other", "question": "在男女两个根节点下出现的星期几子节点集合是否相同？如果相同，这些星期几分别是什么？", "answer": "相同，都是 Fri、Sat、Sun 和 Thur。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个旭日图中有几个根节点（父节点为空），它们分别是什么？\",\n \"answer\": \"有 2 个根节点，分别是 Male 和 Female。\"\n },\n {\n \"question\": \"图中标签为 \\\"Dinner\\\" 的节点有多少个？\",\n \"answer\": \"共有 7 个标签为 \\\"Dinner\\\" 的节点。\"\n },\n {\n \"question\": \"在男女两个根节点下出现的星期几子节点集合是否相同？如果相同，这些星期几分别是什么？\",\n \"answer\": \"相同，都是 Fri、Sat、Sun 和 Thur。\"\n }\n]"}, {"chart": "chart_0059_other", "question": "What is the parent node of the node with id 'Male/Sat'?", "answer": "Male", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"What is the parent node of the node with id 'Male/Sat'?\",\n \"answer\": \"Male\"\n },\n {\n \"question\": \"What time is represented by the segments colored darkblue?\",\n \"answer\": \"Dinner\"\n },\n {\n \"question\": \"How many segments have 'Lunch' as their customdata value?\",\n \"answer\": \"5\"\n }\n]"}, {"chart": "chart_0059_other", "question": "What time is represented by the segments colored darkblue?", "answer": "Dinner", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"What is the parent node of the node with id 'Male/Sat'?\",\n \"answer\": \"Male\"\n },\n {\n \"question\": \"What time is represented by the segments colored darkblue?\",\n \"answer\": \"Dinner\"\n },\n {\n \"question\": \"How many segments have 'Lunch' as their customdata value?\",\n \"answer\": \"5\"\n }\n]"}, {"chart": "chart_0059_other", "question": "How many segments have 'Lunch' as their customdata value?", "answer": "5", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"What is the parent node of the node with id 'Male/Sat'?\",\n \"answer\": \"Male\"\n },\n {\n \"question\": \"What time is represented by the segments colored darkblue?\",\n \"answer\": \"Dinner\"\n },\n {\n \"question\": \"How many segments have 'Lunch' as their customdata value?\",\n \"answer\": \"5\"\n }\n]"}], "reviews": [{"question": "这个旭日图中有几个根节点（父节点为空），它们分别是什么？", "answer": "有 2 个根节点，分别是 Male 和 Female。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "图中标签为 \"Dinner\" 的节点有多少个？", "answer": "共有 7 个标签为 \"Dinner\" 的节点。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在男女两个根节点下出现的星期几子节点集合是否相同？如果相同，这些星期几分别是什么？", "answer": "相同，都是 Fri、Sat、Sun 和 Thur。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "What is the parent node of the node with id 'Male/Sat'?", "answer": "Male", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "What time is represented by the segments colored darkblue?", "answer": "Dinner", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "How many segments have 'Lunch' as their customdata value?", "answer": "5", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "这个旭日图中有几个根节点（父节点为空），它们分别是什么？", "answer": "有 2 个根节点，分别是 Male 和 Female。", "passed": true, "score": 10.0}, {"question": "图中标签为 \"Dinner\" 的节点有多少个？", "answer": "共有 7 个标签为 \"Dinner\" 的节点。", "passed": true, "score": 10.0}, {"question": "在男女两个根节点下出现的星期几子节点集合是否相同？如果相同，这些星期几分别是什么？", "answer": "相同，都是 Fri、Sat、Sun 和 Thur。", "passed": true, "score": 10.0}], "semantic_dedup": {"enabled": true, "provider": "deepseek", "model": "deepseek-chat", "same_question_threshold": 75, "max_pair_checks": 20, "removed_initial": [], "removed_after_repair": []}} | |
| {"chart": "chart_0057_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0057_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0057_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0057_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0057_other_q3.json"], "candidates": [{"chart": "chart_0057_other", "question": "How many segments (labels) are included in the sunburst chart?", "answer": "21", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"How many segments (labels) are included in the sunburst chart?\",\n \"answer\": \"21\"\n },\n {\n \"question\": \"What hex color is used for the 'Sat' segments in the sunburst chart?\",\n \"answer\": \"#00cc96\"\n },\n {\n \"question\": \"Which day has both Lunch and Dinner segments for both Male and Female in the sunburst chart?\",\n \"answer\": \"Fri\"\n }\n]"}, {"chart": "chart_0057_other", "question": "What hex color is used for the 'Sat' segments in the sunburst chart?", "answer": "#00cc96", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"How many segments (labels) are included in the sunburst chart?\",\n \"answer\": \"21\"\n },\n {\n \"question\": \"What hex color is used for the 'Sat' segments in the sunburst chart?\",\n \"answer\": \"#00cc96\"\n },\n {\n \"question\": \"Which day has both Lunch and Dinner segments for both Male and Female in the sunburst chart?\",\n \"answer\": \"Fri\"\n }\n]"}, {"chart": "chart_0057_other", "question": "Which day has both Lunch and Dinner segments for both Male and Female in the sunburst chart?", "answer": "Fri", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"How many segments (labels) are included in the sunburst chart?\",\n \"answer\": \"21\"\n },\n {\n \"question\": \"What hex color is used for the 'Sat' segments in the sunburst chart?\",\n \"answer\": \"#00cc96\"\n },\n {\n \"question\": \"Which day has both Lunch and Dinner segments for both Male and Female in the sunburst chart?\",\n \"answer\": \"Fri\"\n }\n]"}, {"chart": "chart_0057_other", "question": "在customdata中，出现次数最多的日期是哪个？", "answer": "Fri", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"在customdata中，出现次数最多的日期是哪个？\",\n \"answer\": \"Fri\"\n },\n {\n \"question\": \"男性节点和女性节点都有相同数量的直接子节点吗？\",\n \"answer\": \"是，都有4个直接子节点\"\n },\n {\n \"question\": \"'Female/Sun/Dinner'节点的父节点是什么？\",\n \"answer\": \"Female/Sun\"\n }\n]"}, {"chart": "chart_0057_other", "question": "男性节点和女性节点都有相同数量的直接子节点吗？", "answer": "是，都有4个直接子节点", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"在customdata中，出现次数最多的日期是哪个？\",\n \"answer\": \"Fri\"\n },\n {\n \"question\": \"男性节点和女性节点都有相同数量的直接子节点吗？\",\n \"answer\": \"是，都有4个直接子节点\"\n },\n {\n \"question\": \"'Female/Sun/Dinner'节点的父节点是什么？\",\n \"answer\": \"Female/Sun\"\n }\n]"}, {"chart": "chart_0057_other", "question": "'Female/Sun/Dinner'节点的父节点是什么？", "answer": "Female/Sun", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"在customdata中，出现次数最多的日期是哪个？\",\n \"answer\": \"Fri\"\n },\n {\n \"question\": \"男性节点和女性节点都有相同数量的直接子节点吗？\",\n \"answer\": \"是，都有4个直接子节点\"\n },\n {\n \"question\": \"'Female/Sun/Dinner'节点的父节点是什么？\",\n \"answer\": \"Female/Sun\"\n }\n]"}], "reviews": [{"question": "How many segments (labels) are included in the sunburst chart?", "answer": "21", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "What hex color is used for the 'Sat' segments in the sunburst chart?", "answer": "#00cc96", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "Which day has both Lunch and Dinner segments for both Male and Female in the sunburst chart?", "answer": "Fri", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在customdata中，出现次数最多的日期是哪个？", "answer": "Fri", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "男性节点和女性节点都有相同数量的直接子节点吗？", "answer": "是，都有4个直接子节点", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "'Female/Sun/Dinner'节点的父节点是什么？", "answer": "Female/Sun", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "How many segments (labels) are included in the sunburst chart?", "answer": "21", "passed": true, "score": 10.0}, {"question": "What hex color is used for the 'Sat' segments in the sunburst chart?", "answer": "#00cc96", "passed": true, "score": 10.0}, {"question": "Which day has both Lunch and Dinner segments for both Male and Female in the sunburst chart?", "answer": "Fri", "passed": true, "score": 10.0}], "semantic_dedup": {"enabled": true, "provider": "deepseek", "model": "deepseek-chat", "same_question_threshold": 75, "max_pair_checks": 20, "removed_initial": [], "removed_after_repair": []}} | |
| {"chart": "chart_0060_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0060_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0060_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0060_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0060_other_q3.json"], "candidates": [{"chart": "chart_0060_other", "question": "How many leaf segments under the South region are labeled E, F, G, or H in total?", "answer": "4", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"How many leaf segments under the South region are labeled E, F, G, or H in total?\",\n \"answer\": \"4\"\n },\n {\n \"question\": \"What is the immediate parent of the segment labeled 'G'?\",\n \"answer\": \"South/Finance\"\n },\n {\n \"question\": \"Which category labels appear as direct children of the 'North' region?\",\n \"answer\": \"Tech, Finance, and Other\"\n }\n]"}, {"chart": "chart_0060_other", "question": "What is the immediate parent of the segment labeled 'G'?", "answer": "South/Finance", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"How many leaf segments under the South region are labeled E, F, G, or H in total?\",\n \"answer\": \"4\"\n },\n {\n \"question\": \"What is the immediate parent of the segment labeled 'G'?\",\n \"answer\": \"South/Finance\"\n },\n {\n \"question\": \"Which category labels appear as direct children of the 'North' region?\",\n \"answer\": \"Tech, Finance, and Other\"\n }\n]"}, {"chart": "chart_0060_other", "question": "Which category labels appear as direct children of the 'North' region?", "answer": "Tech, Finance, and Other", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"How many leaf segments under the South region are labeled E, F, G, or H in total?\",\n \"answer\": \"4\"\n },\n {\n \"question\": \"What is the immediate parent of the segment labeled 'G'?\",\n \"answer\": \"South/Finance\"\n },\n {\n \"question\": \"Which category labels appear as direct children of the 'North' region?\",\n \"answer\": \"Tech, Finance, and Other\"\n }\n]"}, {"chart": "chart_0060_other", "question": "图表中根节点的标签有哪些？", "answer": "North和South", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"图表中根节点的标签有哪些？\",\n \"answer\": \"North和South\"\n },\n {\n \"question\": \"标签'C'属于哪个部门和地区？\",\n \"answer\": \"属于Finance部门和North地区\"\n },\n {\n \"question\": \"South地区下有哪些子部门节点？\",\n \"answer\": \"Tech、Finance、Other\"\n }\n]"}, {"chart": "chart_0060_other", "question": "标签'C'属于哪个部门和地区？", "answer": "属于Finance部门和North地区", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"图表中根节点的标签有哪些？\",\n \"answer\": \"North和South\"\n },\n {\n \"question\": \"标签'C'属于哪个部门和地区？\",\n \"answer\": \"属于Finance部门和North地区\"\n },\n {\n \"question\": \"South地区下有哪些子部门节点？\",\n \"answer\": \"Tech、Finance、Other\"\n }\n]"}, {"chart": "chart_0060_other", "question": "South地区下有哪些子部门节点？", "answer": "Tech、Finance、Other", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"图表中根节点的标签有哪些？\",\n \"answer\": \"North和South\"\n },\n {\n \"question\": \"标签'C'属于哪个部门和地区？\",\n \"answer\": \"属于Finance部门和North地区\"\n },\n {\n \"question\": \"South地区下有哪些子部门节点？\",\n \"answer\": \"Tech、Finance、Other\"\n }\n]"}], "reviews": [{"question": "How many leaf segments under the South region are labeled E, F, G, or H in total?", "answer": "4", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "What is the immediate parent of the segment labeled 'G'?", "answer": "South/Finance", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "Which category labels appear as direct children of the 'North' region?", "answer": "Tech, Finance, and Other", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "图表中根节点的标签有哪些？", "answer": "North和South", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "标签'C'属于哪个部门和地区？", "answer": "属于Finance部门和North地区", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "South地区下有哪些子部门节点？", "answer": "Tech、Finance、Other", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "How many leaf segments under the South region are labeled E, F, G, or H in total?", "answer": "4", "passed": true, "score": 10.0}, {"question": "What is the immediate parent of the segment labeled 'G'?", "answer": "South/Finance", "passed": true, "score": 10.0}, {"question": "Which category labels appear as direct children of the 'North' region?", "answer": "Tech, Finance, and Other", "passed": true, "score": 10.0}], "semantic_dedup": {"enabled": true, "provider": "deepseek", "model": "deepseek-chat", "same_question_threshold": 75, "max_pair_checks": 20, "removed_initial": [], "removed_after_repair": []}} | |
| {"chart": "chart_0062_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0062_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0062_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0062_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0062_other_q3.json"], "candidates": [{"chart": "chart_0062_other", "question": "在这个旭日图中，哪个节点的数值是 65？", "answer": "Eve 的数值是 65。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个旭日图中，哪个节点的数值是 65？\",\n \"answer\": \"Eve 的数值是 65。\"\n },\n {\n \"question\": \"在 Eve 的子节点 Cain、Seth、Abel、Awan 和 Azura 中，哪个的数值最小？\",\n \"answer\": \"Azura 的数值最小，为 4。\"\n },\n {\n \"question\": \"节点 Enos 和 Noam 的数值之和是多少？\",\n \"answer\": \"Enos 和 Noam 的数值之和是 12。\"\n }\n]"}, {"chart": "chart_0062_other", "question": "在 Eve 的子节点 Cain、Seth、Abel、Awan 和 Azura 中，哪个的数值最小？", "answer": "Azura 的数值最小，为 4。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个旭日图中，哪个节点的数值是 65？\",\n \"answer\": \"Eve 的数值是 65。\"\n },\n {\n \"question\": \"在 Eve 的子节点 Cain、Seth、Abel、Awan 和 Azura 中，哪个的数值最小？\",\n \"answer\": \"Azura 的数值最小，为 4。\"\n },\n {\n \"question\": \"节点 Enos 和 Noam 的数值之和是多少？\",\n \"answer\": \"Enos 和 Noam 的数值之和是 12。\"\n }\n]"}, {"chart": "chart_0062_other", "question": "节点 Enos 和 Noam 的数值之和是多少？", "answer": "Enos 和 Noam 的数值之和是 12。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个旭日图中，哪个节点的数值是 65？\",\n \"answer\": \"Eve 的数值是 65。\"\n },\n {\n \"question\": \"在 Eve 的子节点 Cain、Seth、Abel、Awan 和 Azura 中，哪个的数值最小？\",\n \"answer\": \"Azura 的数值最小，为 4。\"\n },\n {\n \"question\": \"节点 Enos 和 Noam 的数值之和是多少？\",\n \"answer\": \"Enos 和 Noam 的数值之和是 12。\"\n }\n]"}, {"chart": "chart_0062_other", "question": "哪个节点的值最大？", "answer": "Eve", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"哪个节点的值最大？\",\n \"answer\": \"Eve\"\n },\n {\n \"question\": \"Eve 的直接子节点有哪些？\",\n \"answer\": \"Cain, Seth, Abel, Awan, Azura\"\n },\n {\n \"question\": \"Seth 的子节点有哪些？\",\n \"answer\": \"Enos 和 Noam\"\n }\n]"}, {"chart": "chart_0062_other", "question": "Eve 的直接子节点有哪些？", "answer": "Cain, Seth, Abel, Awan, Azura", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"哪个节点的值最大？\",\n \"answer\": \"Eve\"\n },\n {\n \"question\": \"Eve 的直接子节点有哪些？\",\n \"answer\": \"Cain, Seth, Abel, Awan, Azura\"\n },\n {\n \"question\": \"Seth 的子节点有哪些？\",\n \"answer\": \"Enos 和 Noam\"\n }\n]"}, {"chart": "chart_0062_other", "question": "Seth 的子节点有哪些？", "answer": "Enos 和 Noam", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"哪个节点的值最大？\",\n \"answer\": \"Eve\"\n },\n {\n \"question\": \"Eve 的直接子节点有哪些？\",\n \"answer\": \"Cain, Seth, Abel, Awan, Azura\"\n },\n {\n \"question\": \"Seth 的子节点有哪些？\",\n \"answer\": \"Enos 和 Noam\"\n }\n]"}], "reviews": [{"question": "在这个旭日图中，哪个节点的数值是 65？", "answer": "Eve 的数值是 65。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在 Eve 的子节点 Cain、Seth、Abel、Awan 和 Azura 中，哪个的数值最小？", "answer": "Azura 的数值最小，为 4。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "节点 Enos 和 Noam 的数值之和是多少？", "answer": "Enos 和 Noam 的数值之和是 12。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "哪个节点的值最大？", "answer": "Eve", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "Eve 的直接子节点有哪些？", "answer": "Cain, Seth, Abel, Awan, Azura", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "Seth 的子节点有哪些？", "answer": "Enos 和 Noam", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "在这个旭日图中，哪个节点的数值是 65？", "answer": "Eve 的数值是 65。", "passed": true, "score": 10.0}, {"question": "在 Eve 的子节点 Cain、Seth、Abel、Awan 和 Azura 中，哪个的数值最小？", "answer": "Azura 的数值最小，为 4。", "passed": true, "score": 10.0}, {"question": "节点 Enos 和 Noam 的数值之和是多少？", "answer": "Enos 和 Noam 的数值之和是 12。", "passed": true, "score": 10.0}], "semantic_dedup": {"enabled": true, "provider": "deepseek", "model": "deepseek-chat", "same_question_threshold": 75, "max_pair_checks": 20, "removed_initial": [], "removed_after_repair": []}} | |
| {"chart": "chart_0063_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0063_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0063_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0063_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0063_other_q3.json"], "candidates": [{"chart": "chart_0063_other", "question": "在包含顶层类别 “Aromas” 和 “Tastes” 的旭日图中，顶层类别一共有多少个？", "answer": "2 个", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在包含顶层类别 “Aromas” 和 “Tastes” 的旭日图中，顶层类别一共有多少个？\",\n \"answer\": \"2 个\"\n },\n {\n \"question\": \"在同一个包含 “Aromas” 和 “Tastes” 的旭日图中，标签 “Nippy” 的直接父标签是什么？\",\n \"answer\": \"Acidy\"\n },\n {\n \"question\": \"在不包含 “Aromas” 和 “Tastes” 的另一个旭日图中，标签 “Flowery” 和 “Fruity” 是否处于相同层级？\",\n \"answer\": \"是，二者都为顶层类别。\"\n }\n]"}, {"chart": "chart_0063_other", "question": "在同一个包含 “Aromas” 和 “Tastes” 的旭日图中，标签 “Nippy” 的直接父标签是什么？", "answer": "Acidy", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在包含顶层类别 “Aromas” 和 “Tastes” 的旭日图中，顶层类别一共有多少个？\",\n \"answer\": \"2 个\"\n },\n {\n \"question\": \"在同一个包含 “Aromas” 和 “Tastes” 的旭日图中，标签 “Nippy” 的直接父标签是什么？\",\n \"answer\": \"Acidy\"\n },\n {\n \"question\": \"在不包含 “Aromas” 和 “Tastes” 的另一个旭日图中，标签 “Flowery” 和 “Fruity” 是否处于相同层级？\",\n \"answer\": \"是，二者都为顶层类别。\"\n }\n]"}, {"chart": "chart_0063_other", "question": "在不包含 “Aromas” 和 “Tastes” 的另一个旭日图中，标签 “Flowery” 和 “Fruity” 是否处于相同层级？", "answer": "是，二者都为顶层类别。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在包含顶层类别 “Aromas” 和 “Tastes” 的旭日图中，顶层类别一共有多少个？\",\n \"answer\": \"2 个\"\n },\n {\n \"question\": \"在同一个包含 “Aromas” 和 “Tastes” 的旭日图中，标签 “Nippy” 的直接父标签是什么？\",\n \"answer\": \"Acidy\"\n },\n {\n \"question\": \"在不包含 “Aromas” 和 “Tastes” 的另一个旭日图中，标签 “Flowery” 和 “Fruity” 是否处于相同层级？\",\n \"answer\": \"是，二者都为顶层类别。\"\n }\n]"}, {"chart": "chart_0063_other", "question": "What is the immediate parent of the 'Bitter' category in the sunburst chart?", "answer": "Tastes", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[{\"question\": \"What is the immediate parent of the 'Bitter' category in the sunburst chart?\", \"answer\": \"Tastes\"}, {\"question\": \"What is the maximum depth specified for the second sunburst chart?\", \"answer\": \"2\"}, {\"question\": \"What are the direct subcategories of 'Aromas'?\", \"answer\": \"Enzymatic, Sugar Browning, Dry Distillation\"}]"}, {"chart": "chart_0063_other", "question": "What is the maximum depth specified for the second sunburst chart?", "answer": "2", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[{\"question\": \"What is the immediate parent of the 'Bitter' category in the sunburst chart?\", \"answer\": \"Tastes\"}, {\"question\": \"What is the maximum depth specified for the second sunburst chart?\", \"answer\": \"2\"}, {\"question\": \"What are the direct subcategories of 'Aromas'?\", \"answer\": \"Enzymatic, Sugar Browning, Dry Distillation\"}]"}, {"chart": "chart_0063_other", "question": "What are the direct subcategories of 'Aromas'?", "answer": "Enzymatic, Sugar Browning, Dry Distillation", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[{\"question\": \"What is the immediate parent of the 'Bitter' category in the sunburst chart?\", \"answer\": \"Tastes\"}, {\"question\": \"What is the maximum depth specified for the second sunburst chart?\", \"answer\": \"2\"}, {\"question\": \"What are the direct subcategories of 'Aromas'?\", \"answer\": \"Enzymatic, Sugar Browning, Dry Distillation\"}]"}], "reviews": [{"question": "在包含顶层类别 “Aromas” 和 “Tastes” 的旭日图中，顶层类别一共有多少个？", "answer": "2 个", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在同一个包含 “Aromas” 和 “Tastes” 的旭日图中，标签 “Nippy” 的直接父标签是什么？", "answer": "Acidy", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在不包含 “Aromas” 和 “Tastes” 的另一个旭日图中，标签 “Flowery” 和 “Fruity” 是否处于相同层级？", "answer": "是，二者都为顶层类别。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "What is the immediate parent of the 'Bitter' category in the sunburst chart?", "answer": "Tastes", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "What is the maximum depth specified for the second sunburst chart?", "answer": "2", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "What are the direct subcategories of 'Aromas'?", "answer": "Enzymatic, Sugar Browning, Dry Distillation", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "在包含顶层类别 “Aromas” 和 “Tastes” 的旭日图中，顶层类别一共有多少个？", "answer": "2 个", "passed": true, "score": 10.0}, {"question": "在同一个包含 “Aromas” 和 “Tastes” 的旭日图中，标签 “Nippy” 的直接父标签是什么？", "answer": "Acidy", "passed": true, "score": 10.0}, {"question": "在不包含 “Aromas” 和 “Tastes” 的另一个旭日图中，标签 “Flowery” 和 “Fruity” 是否处于相同层级？", "answer": "是，二者都为顶层类别。", "passed": true, "score": 10.0}], "semantic_dedup": {"enabled": true, "provider": "deepseek", "model": "deepseek-chat", "same_question_threshold": 75, "max_pair_checks": 20, "removed_initial": [{"dropped_question": "What is the maximum depth specified for the second sunburst chart?", "kept_question": "在包含顶层类别 “Aromas” 和 “Tastes” 的旭日图中，顶层类别一共有多少个？", "similarity": 100.0, "reason": "Both questions ask for the number of top-level categories in a sunburst chart, with Question A specifying 'second sunburst chart' and Question B specifying a chart with top-level categories 'Aromas' and 'Tastes', both resulting in the answer '2'."}], "removed_after_repair": []}} | |
| {"chart": "chart_0055_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0055_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0055_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0055_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0055_other_q3.json"], "candidates": [{"chart": "chart_0055_other", "question": "这个旭日图中，一共有多少个最外层的星期节点（直接父级为空的 Sun、Sat、Thur、Fri 节点）？", "answer": "4 个", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个旭日图中，一共有多少个最外层的星期节点（直接父级为空的 Sun、Sat、Thur、Fri 节点）？\",\n \"answer\": \"4 个\"\n },\n {\n \"question\": \"哪两天同时拥有 Lunch 和 Dinner 两种用餐类别作为其直接子节点？\",\n \"answer\": \"Thur 和 Fri\"\n },\n {\n \"question\": \"在哪一个具体的星期与用餐组合下，只有 Female 性别分支、没有 Male 分支？\",\n \"answer\": \"Thur/Dinner（星期四的 Dinner）\"\n }\n]"}, {"chart": "chart_0055_other", "question": "哪两天同时拥有 Lunch 和 Dinner 两种用餐类别作为其直接子节点？", "answer": "Thur 和 Fri", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个旭日图中，一共有多少个最外层的星期节点（直接父级为空的 Sun、Sat、Thur、Fri 节点）？\",\n \"answer\": \"4 个\"\n },\n {\n \"question\": \"哪两天同时拥有 Lunch 和 Dinner 两种用餐类别作为其直接子节点？\",\n \"answer\": \"Thur 和 Fri\"\n },\n {\n \"question\": \"在哪一个具体的星期与用餐组合下，只有 Female 性别分支、没有 Male 分支？\",\n \"answer\": \"Thur/Dinner（星期四的 Dinner）\"\n }\n]"}, {"chart": "chart_0055_other", "question": "在哪一个具体的星期与用餐组合下，只有 Female 性别分支、没有 Male 分支？", "answer": "Thur/Dinner（星期四的 Dinner）", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个旭日图中，一共有多少个最外层的星期节点（直接父级为空的 Sun、Sat、Thur、Fri 节点）？\",\n \"answer\": \"4 个\"\n },\n {\n \"question\": \"哪两天同时拥有 Lunch 和 Dinner 两种用餐类别作为其直接子节点？\",\n \"answer\": \"Thur 和 Fri\"\n },\n {\n \"question\": \"在哪一个具体的星期与用餐组合下，只有 Female 性别分支、没有 Male 分支？\",\n \"answer\": \"Thur/Dinner（星期四的 Dinner）\"\n }\n]"}, {"chart": "chart_0055_other", "question": "图表中哪些天同时有午餐和晚餐两种餐点？", "answer": "Thur和Fri", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"图表中哪些天同时有午餐和晚餐两种餐点？\",\n \"answer\": \"Thur和Fri\"\n },\n {\n \"question\": \"在周六(Sat)的晚餐节点中，是否有女性和男性的子节点？\",\n \"answer\": \"有女性和男性子节点\"\n },\n {\n \"question\": \"哪个餐点节点只有一种性别的子节点？\",\n \"answer\": \"Thur的晚餐节点只有女性子节点\"\n }\n]"}, {"chart": "chart_0055_other", "question": "在周六(Sat)的晚餐节点中，是否有女性和男性的子节点？", "answer": "有女性和男性子节点", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"图表中哪些天同时有午餐和晚餐两种餐点？\",\n \"answer\": \"Thur和Fri\"\n },\n {\n \"question\": \"在周六(Sat)的晚餐节点中，是否有女性和男性的子节点？\",\n \"answer\": \"有女性和男性子节点\"\n },\n {\n \"question\": \"哪个餐点节点只有一种性别的子节点？\",\n \"answer\": \"Thur的晚餐节点只有女性子节点\"\n }\n]"}, {"chart": "chart_0055_other", "question": "哪个餐点节点只有一种性别的子节点？", "answer": "Thur的晚餐节点只有女性子节点", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"图表中哪些天同时有午餐和晚餐两种餐点？\",\n \"answer\": \"Thur和Fri\"\n },\n {\n \"question\": \"在周六(Sat)的晚餐节点中，是否有女性和男性的子节点？\",\n \"answer\": \"有女性和男性子节点\"\n },\n {\n \"question\": \"哪个餐点节点只有一种性别的子节点？\",\n \"answer\": \"Thur的晚餐节点只有女性子节点\"\n }\n]"}], "reviews": [{"question": "这个旭日图中，一共有多少个最外层的星期节点（直接父级为空的 Sun、Sat、Thur、Fri 节点）？", "answer": "4 个", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "哪两天同时拥有 Lunch 和 Dinner 两种用餐类别作为其直接子节点？", "answer": "Thur 和 Fri", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在哪一个具体的星期与用餐组合下，只有 Female 性别分支、没有 Male 分支？", "answer": "Thur/Dinner（星期四的 Dinner）", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "图表中哪些天同时有午餐和晚餐两种餐点？", "answer": "Thur和Fri", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在周六(Sat)的晚餐节点中，是否有女性和男性的子节点？", "answer": "有女性和男性子节点", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "哪个餐点节点只有一种性别的子节点？", "answer": "Thur的晚餐节点只有女性子节点", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "这个旭日图中，一共有多少个最外层的星期节点（直接父级为空的 Sun、Sat、Thur、Fri 节点）？", "answer": "4 个", "passed": true, "score": 10.0}, {"question": "哪两天同时拥有 Lunch 和 Dinner 两种用餐类别作为其直接子节点？", "answer": "Thur 和 Fri", "passed": true, "score": 10.0}, {"question": "在哪一个具体的星期与用餐组合下，只有 Female 性别分支、没有 Male 分支？", "answer": "Thur/Dinner（星期四的 Dinner）", "passed": true, "score": 10.0}], "semantic_dedup": {"enabled": true, "provider": "deepseek", "model": "deepseek-chat", "same_question_threshold": 75, "max_pair_checks": 20, "removed_initial": [{"dropped_question": "图表中哪些天同时有午餐和晚餐两种餐点？", "kept_question": "哪两天同时拥有 Lunch 和 Dinner 两种用餐类别作为其直接子节点？", "similarity": 100.0, "reason": "Both questions ask for the days that have both lunch and dinner as direct subcategories, and the answers are identical."}, {"dropped_question": "哪个餐点节点只有一种性别的子节点？", "kept_question": "在哪一个具体的星期与用餐组合下，只有 Female 性别分支、没有 Male 分支？", "similarity": 100.0, "reason": "Both questions ask for the specific day and meal combination where only one gender (Female) is present, with no Male branches, which is identified as Thursday/Dinner in both answers."}], "removed_after_repair": []}} | |
| {"chart": "chart_0065_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0065_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0065_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0065_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0065_other_q3.json"], "candidates": [{"chart": "chart_0065_other", "question": "在这个日冕图中，有多少个顶层（父节点为 null）的类别，它们分别是什么？", "answer": "有 2 个顶层类别，分别是 Aromas 和 Tastes。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个日冕图中，有多少个顶层（父节点为 null）的类别，它们分别是什么？\",\n \"answer\": \"有 2 个顶层类别，分别是 Aromas 和 Tastes。\"\n },\n {\n \"question\": \"在 Tastes 分支下的子类别 Sour 直接包含多少个子节点，它们的名称是什么？\",\n \"answer\": \"Sour 有 2 个直接子节点，名称是 Winey 和 Soury。\"\n },\n {\n \"question\": \"哪个标签既作为 Tastes 分支中 Bitter 的子类别，又作为 Dry Distillation 分支中 Spicy 的子类别出现？\",\n \"answer\": \"该标签是 Pungent。\"\n }\n]"}, {"chart": "chart_0065_other", "question": "在 Tastes 分支下的子类别 Sour 直接包含多少个子节点，它们的名称是什么？", "answer": "Sour 有 2 个直接子节点，名称是 Winey 和 Soury。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个日冕图中，有多少个顶层（父节点为 null）的类别，它们分别是什么？\",\n \"answer\": \"有 2 个顶层类别，分别是 Aromas 和 Tastes。\"\n },\n {\n \"question\": \"在 Tastes 分支下的子类别 Sour 直接包含多少个子节点，它们的名称是什么？\",\n \"answer\": \"Sour 有 2 个直接子节点，名称是 Winey 和 Soury。\"\n },\n {\n \"question\": \"哪个标签既作为 Tastes 分支中 Bitter 的子类别，又作为 Dry Distillation 分支中 Spicy 的子类别出现？\",\n \"answer\": \"该标签是 Pungent。\"\n }\n]"}, {"chart": "chart_0065_other", "question": "哪个标签既作为 Tastes 分支中 Bitter 的子类别，又作为 Dry Distillation 分支中 Spicy 的子类别出现？", "answer": "该标签是 Pungent。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个日冕图中，有多少个顶层（父节点为 null）的类别，它们分别是什么？\",\n \"answer\": \"有 2 个顶层类别，分别是 Aromas 和 Tastes。\"\n },\n {\n \"question\": \"在 Tastes 分支下的子类别 Sour 直接包含多少个子节点，它们的名称是什么？\",\n \"answer\": \"Sour 有 2 个直接子节点，名称是 Winey 和 Soury。\"\n },\n {\n \"question\": \"哪个标签既作为 Tastes 分支中 Bitter 的子类别，又作为 Dry Distillation 分支中 Spicy 的子类别出现？\",\n \"answer\": \"该标签是 Pungent。\"\n }\n]"}, {"chart": "chart_0065_other", "question": "How many direct subcategories does the 'Aromas' node have?", "answer": "3", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"How many direct subcategories does the 'Aromas' node have?\",\n \"answer\": \"3\"\n },\n {\n \"question\": \"What is the parent node of 'Chocolate-like'?\",\n \"answer\": \"Chocolatey\"\n },\n {\n \"question\": \"Which has more direct subcategories, 'Aromas' or 'Tastes'?\",\n \"answer\": \"Tastes\"\n }\n]"}, {"chart": "chart_0065_other", "question": "What is the parent node of 'Chocolate-like'?", "answer": "Chocolatey", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"How many direct subcategories does the 'Aromas' node have?\",\n \"answer\": \"3\"\n },\n {\n \"question\": \"What is the parent node of 'Chocolate-like'?\",\n \"answer\": \"Chocolatey\"\n },\n {\n \"question\": \"Which has more direct subcategories, 'Aromas' or 'Tastes'?\",\n \"answer\": \"Tastes\"\n }\n]"}, {"chart": "chart_0065_other", "question": "Which has more direct subcategories, 'Aromas' or 'Tastes'?", "answer": "Tastes", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"How many direct subcategories does the 'Aromas' node have?\",\n \"answer\": \"3\"\n },\n {\n \"question\": \"What is the parent node of 'Chocolate-like'?\",\n \"answer\": \"Chocolatey\"\n },\n {\n \"question\": \"Which has more direct subcategories, 'Aromas' or 'Tastes'?\",\n \"answer\": \"Tastes\"\n }\n]"}], "reviews": [{"question": "在这个日冕图中，有多少个顶层（父节点为 null）的类别，它们分别是什么？", "answer": "有 2 个顶层类别，分别是 Aromas 和 Tastes。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在 Tastes 分支下的子类别 Sour 直接包含多少个子节点，它们的名称是什么？", "answer": "Sour 有 2 个直接子节点，名称是 Winey 和 Soury。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "哪个标签既作为 Tastes 分支中 Bitter 的子类别，又作为 Dry Distillation 分支中 Spicy 的子类别出现？", "answer": "该标签是 Pungent。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "How many direct subcategories does the 'Aromas' node have?", "answer": "3", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "What is the parent node of 'Chocolate-like'?", "answer": "Chocolatey", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "Which has more direct subcategories, 'Aromas' or 'Tastes'?", "answer": "Tastes", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "在这个日冕图中，有多少个顶层（父节点为 null）的类别，它们分别是什么？", "answer": "有 2 个顶层类别，分别是 Aromas 和 Tastes。", "passed": true, "score": 10.0}, {"question": "在 Tastes 分支下的子类别 Sour 直接包含多少个子节点，它们的名称是什么？", "answer": "Sour 有 2 个直接子节点，名称是 Winey 和 Soury。", "passed": true, "score": 10.0}, {"question": "哪个标签既作为 Tastes 分支中 Bitter 的子类别，又作为 Dry Distillation 分支中 Spicy 的子类别出现？", "answer": "该标签是 Pungent。", "passed": true, "score": 10.0}], "semantic_dedup": {"enabled": true, "provider": "deepseek", "model": "deepseek-chat", "same_question_threshold": 75, "max_pair_checks": 20, "removed_initial": [], "removed_after_repair": []}} | |
| {"chart": "chart_0052_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0052_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0052_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0052_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0052_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0053_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0053_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0053_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0053_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0053_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0054_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0054_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0054_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0054_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0054_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0055_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0055_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0055_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0055_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0055_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0056_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0056_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0056_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0056_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0056_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0057_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0057_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0057_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0057_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0057_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0058_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0058_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0058_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0058_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0058_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0059_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0059_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0059_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0059_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0059_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0060_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0060_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0060_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0060_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0060_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0061_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0061_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0061_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0061_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0061_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0062_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0062_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0062_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0062_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0062_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0063_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0063_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0063_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0063_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0063_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0064_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0064_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0064_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0064_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0064_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0065_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0065_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0065_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0065_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0065_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0052_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0052_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0052_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0052_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0052_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0053_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0053_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0053_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0053_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0053_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0054_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0054_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0054_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0054_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0054_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0055_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0055_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0055_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0055_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0055_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0056_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0056_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0056_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0056_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0056_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0057_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0057_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0057_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0057_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0057_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0058_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0058_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0058_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0058_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0058_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0059_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0059_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0059_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0059_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0059_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0060_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0060_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0060_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0060_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0060_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0061_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0061_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0061_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0061_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0061_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0062_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0062_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0062_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0062_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0062_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0063_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0063_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0063_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0063_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0063_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0064_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0064_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0064_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0064_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0064_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0065_other", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\other\\chart_0065_other.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0065_other_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0065_other_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\other\\PreQA\\chart_0065_other_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |