| {"chart": "chart_0044_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0044_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0044_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0044_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0044_heatmap_q3.json"], "candidates": [{"chart": "chart_0044_heatmap", "question": "该图表中使用的轨迹类型（type）是什么？", "answer": "histogram2d", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"该图表中使用的轨迹类型（type）是什么？\",\n \"answer\": \"histogram2d\"\n },\n {\n \"question\": \"在鼠标悬停提示中会显示哪三个量的名称？\",\n \"answer\": \"total_bill、tip、count\"\n },\n {\n \"question\": \"该图表布局中绘图区背景颜色（plot_bgcolor）被设置为哪种颜色值？\",\n \"answer\": \"#E5ECF6\"\n }\n]"}, {"chart": "chart_0044_heatmap", "question": "在鼠标悬停提示中会显示哪三个量的名称？", "answer": "total_bill、tip、count", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"该图表中使用的轨迹类型（type）是什么？\",\n \"answer\": \"histogram2d\"\n },\n {\n \"question\": \"在鼠标悬停提示中会显示哪三个量的名称？\",\n \"answer\": \"total_bill、tip、count\"\n },\n {\n \"question\": \"该图表布局中绘图区背景颜色（plot_bgcolor）被设置为哪种颜色值？\",\n \"answer\": \"#E5ECF6\"\n }\n]"}, {"chart": "chart_0044_heatmap", "question": "该图表布局中绘图区背景颜色（plot_bgcolor）被设置为哪种颜色值？", "answer": "#E5ECF6", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"该图表中使用的轨迹类型（type）是什么？\",\n \"answer\": \"histogram2d\"\n },\n {\n \"question\": \"在鼠标悬停提示中会显示哪三个量的名称？\",\n \"answer\": \"total_bill、tip、count\"\n },\n {\n \"question\": \"该图表布局中绘图区背景颜色（plot_bgcolor）被设置为哪种颜色值？\",\n \"answer\": \"#E5ECF6\"\n }\n]"}, {"chart": "chart_0044_heatmap", "question": "图表的x轴表示什么变量？", "answer": "total_bill", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"图表的x轴表示什么变量？\",\n \"answer\": \"total_bill\"\n },\n {\n \"question\": \"这个图表是什么类型的可视化？\",\n \"answer\": \"热图（二维直方图）\"\n },\n {\n \"question\": \"热图中的颜色代表什么数据？\",\n \"answer\": \"count（频次）\"\n }\n]"}, {"chart": "chart_0044_heatmap", "question": "这个图表是什么类型的可视化？", "answer": "热图（二维直方图）", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"图表的x轴表示什么变量？\",\n \"answer\": \"total_bill\"\n },\n {\n \"question\": \"这个图表是什么类型的可视化？\",\n \"answer\": \"热图（二维直方图）\"\n },\n {\n \"question\": \"热图中的颜色代表什么数据？\",\n \"answer\": \"count（频次）\"\n }\n]"}, {"chart": "chart_0044_heatmap", "question": "热图中的颜色代表什么数据？", "answer": "count（频次）", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"图表的x轴表示什么变量？\",\n \"answer\": \"total_bill\"\n },\n {\n \"question\": \"这个图表是什么类型的可视化？\",\n \"answer\": \"热图（二维直方图）\"\n },\n {\n \"question\": \"热图中的颜色代表什么数据？\",\n \"answer\": \"count（频次）\"\n }\n]"}], "reviews": [{"question": "该图表中使用的轨迹类型（type）是什么？", "answer": "histogram2d", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在鼠标悬停提示中会显示哪三个量的名称？", "answer": "total_bill、tip、count", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "该图表布局中绘图区背景颜色（plot_bgcolor）被设置为哪种颜色值？", "answer": "#E5ECF6", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "图表的x轴表示什么变量？", "answer": "total_bill", "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？", "answer": "热图（二维直方图）", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "热图中的颜色代表什么数据？", "answer": "count（频次）", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "该图表中使用的轨迹类型（type）是什么？", "answer": "histogram2d", "passed": true, "score": 10.0}, {"question": "在鼠标悬停提示中会显示哪三个量的名称？", "answer": "total_bill、tip、count", "passed": true, "score": 10.0}, {"question": "该图表布局中绘图区背景颜色（plot_bgcolor）被设置为哪种颜色值？", "answer": "#E5ECF6", "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": "这个图表是什么类型的可视化？", "kept_question": "该图表中使用的轨迹类型（type）是什么？", "similarity": 95.0, "reason": "Both questions ask about the type of visualization in the chart, with '热图（二维直方图）' and 'histogram2d' referring to the same chart type (2D histogram/heatmap)."}], "removed_after_repair": []}} | |
| {"chart": "chart_0041_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0041_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0041_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0041_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0041_heatmap_q3.json"], "candidates": [{"chart": "chart_0041_heatmap", "question": "这个图表使用的 Plotly 图表类型是什么？", "answer": "histogram2d（二位直方图）", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个图表使用的 Plotly 图表类型是什么？\",\n \"answer\": \"histogram2d（二位直方图）\"\n },\n {\n \"question\": \"在这个图表中，横轴和纵轴分别表示什么变量？\",\n \"answer\": \"横轴表示 total_bill，纵轴表示 tip\"\n },\n {\n \"question\": \"该二维直方图在横轴和纵轴上的分箱数量是否相同？如果相同，各是多少个？\",\n \"answer\": \"相同，横轴 nbinsx 为 20，纵轴 nbinsy 也为 20\"\n }\n]"}, {"chart": "chart_0041_heatmap", "question": "在这个图表中，横轴和纵轴分别表示什么变量？", "answer": "横轴表示 total_bill，纵轴表示 tip", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个图表使用的 Plotly 图表类型是什么？\",\n \"answer\": \"histogram2d（二位直方图）\"\n },\n {\n \"question\": \"在这个图表中，横轴和纵轴分别表示什么变量？\",\n \"answer\": \"横轴表示 total_bill，纵轴表示 tip\"\n },\n {\n \"question\": \"该二维直方图在横轴和纵轴上的分箱数量是否相同？如果相同，各是多少个？\",\n \"answer\": \"相同，横轴 nbinsx 为 20，纵轴 nbinsy 也为 20\"\n }\n]"}, {"chart": "chart_0041_heatmap", "question": "该二维直方图在横轴和纵轴上的分箱数量是否相同？如果相同，各是多少个？", "answer": "相同，横轴 nbinsx 为 20，纵轴 nbinsy 也为 20", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个图表使用的 Plotly 图表类型是什么？\",\n \"answer\": \"histogram2d（二位直方图）\"\n },\n {\n \"question\": \"在这个图表中，横轴和纵轴分别表示什么变量？\",\n \"answer\": \"横轴表示 total_bill，纵轴表示 tip\"\n },\n {\n \"question\": \"该二维直方图在横轴和纵轴上的分箱数量是否相同？如果相同，各是多少个？\",\n \"answer\": \"相同，横轴 nbinsx 为 20，纵轴 nbinsy 也为 20\"\n }\n]"}, {"chart": "chart_0041_heatmap", "question": "x轴表示的变量名称是什么？", "answer": "total_bill", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"x轴表示的变量名称是什么？\",\n \"answer\": \"total_bill\"\n },\n {\n \"question\": \"x轴和y轴的分箱数量各是多少？\",\n \"answer\": \"都是20\"\n },\n {\n \"question\": \"颜色轴（z轴）代表什么度量？\",\n \"answer\": \"count\"\n }\n]"}, {"chart": "chart_0041_heatmap", "question": "x轴和y轴的分箱数量各是多少？", "answer": "都是20", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"x轴表示的变量名称是什么？\",\n \"answer\": \"total_bill\"\n },\n {\n \"question\": \"x轴和y轴的分箱数量各是多少？\",\n \"answer\": \"都是20\"\n },\n {\n \"question\": \"颜色轴（z轴）代表什么度量？\",\n \"answer\": \"count\"\n }\n]"}, {"chart": "chart_0041_heatmap", "question": "颜色轴（z轴）代表什么度量？", "answer": "count", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"x轴表示的变量名称是什么？\",\n \"answer\": \"total_bill\"\n },\n {\n \"question\": \"x轴和y轴的分箱数量各是多少？\",\n \"answer\": \"都是20\"\n },\n {\n \"question\": \"颜色轴（z轴）代表什么度量？\",\n \"answer\": \"count\"\n }\n]"}], "reviews": [{"question": "这个图表使用的 Plotly 图表类型是什么？", "answer": "histogram2d（二位直方图）", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在这个图表中，横轴和纵轴分别表示什么变量？", "answer": "横轴表示 total_bill，纵轴表示 tip", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "该二维直方图在横轴和纵轴上的分箱数量是否相同？如果相同，各是多少个？", "answer": "相同，横轴 nbinsx 为 20，纵轴 nbinsy 也为 20", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "x轴表示的变量名称是什么？", "answer": "total_bill", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "x轴和y轴的分箱数量各是多少？", "answer": "都是20", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "颜色轴（z轴）代表什么度量？", "answer": "count", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "这个图表使用的 Plotly 图表类型是什么？", "answer": "histogram2d（二位直方图）", "passed": true, "score": 10.0}, {"question": "在这个图表中，横轴和纵轴分别表示什么变量？", "answer": "横轴表示 total_bill，纵轴表示 tip", "passed": true, "score": 10.0}, {"question": "该二维直方图在横轴和纵轴上的分箱数量是否相同？如果相同，各是多少个？", "answer": "相同，横轴 nbinsx 为 20，纵轴 nbinsy 也为 20", "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": "x轴和y轴的分箱数量各是多少？", "kept_question": "该二维直方图在横轴和纵轴上的分箱数量是否相同？如果相同，各是多少个？", "similarity": 95.0, "reason": "Both questions ask if the number of bins on the x- and y-axes are the same and request the specific count, with Question A directly asking for the numbers and Question B confirming sameness before providing them. The intent and required evidence are identical."}], "removed_after_repair": []}} | |
| {"chart": "chart_0050_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0050_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0050_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0050_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0050_heatmap_q3.json"], "candidates": [{"chart": "chart_0050_heatmap", "question": "图中使用的数据可视化痕迹类型是什么？", "answer": "histogram2dcontour", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"图中使用的数据可视化痕迹类型是什么？\",\n \"answer\": \"histogram2dcontour\"\n },\n {\n \"question\": \"根据 hovertemplate，y 轴对应的字段名称是什么？\",\n \"answer\": \"tip\"\n },\n {\n \"question\": \"模板中 heatmap 的连续色带在最小值和最大值处分别使用什么颜色？\",\n \"answer\": \"最小值颜色为 #0d0887，最大值颜色为 #f0f921\"\n }\n]"}, {"chart": "chart_0050_heatmap", "question": "根据 hovertemplate，y 轴对应的字段名称是什么？", "answer": "tip", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"图中使用的数据可视化痕迹类型是什么？\",\n \"answer\": \"histogram2dcontour\"\n },\n {\n \"question\": \"根据 hovertemplate，y 轴对应的字段名称是什么？\",\n \"answer\": \"tip\"\n },\n {\n \"question\": \"模板中 heatmap 的连续色带在最小值和最大值处分别使用什么颜色？\",\n \"answer\": \"最小值颜色为 #0d0887，最大值颜色为 #f0f921\"\n }\n]"}, {"chart": "chart_0050_heatmap", "question": "模板中 heatmap 的连续色带在最小值和最大值处分别使用什么颜色？", "answer": "最小值颜色为 #0d0887，最大值颜色为 #f0f921", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"图中使用的数据可视化痕迹类型是什么？\",\n \"answer\": \"histogram2dcontour\"\n },\n {\n \"question\": \"根据 hovertemplate，y 轴对应的字段名称是什么？\",\n \"answer\": \"tip\"\n },\n {\n \"question\": \"模板中 heatmap 的连续色带在最小值和最大值处分别使用什么颜色？\",\n \"answer\": \"最小值颜色为 #0d0887，最大值颜色为 #f0f921\"\n }\n]"}, {"chart": "chart_0050_heatmap", "question": "这个图表属于什么类型？", "answer": "二维直方图轮廓图（histogram2dcontour）", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"这个图表属于什么类型？\",\n \"answer\": \"二维直方图轮廓图（histogram2dcontour）\"\n },\n {\n \"question\": \"图表的x轴和y轴分别表示什么数据？\",\n \"answer\": \"x轴表示total_bill，y轴表示tip\"\n },\n {\n \"question\": \"图表中的颜色条代表哪个变量的值？\",\n \"answer\": \"代表count变量的值，即数据点的频率\"\n }\n]"}, {"chart": "chart_0050_heatmap", "question": "图表的x轴和y轴分别表示什么数据？", "answer": "x轴表示total_bill，y轴表示tip", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"这个图表属于什么类型？\",\n \"answer\": \"二维直方图轮廓图（histogram2dcontour）\"\n },\n {\n \"question\": \"图表的x轴和y轴分别表示什么数据？\",\n \"answer\": \"x轴表示total_bill，y轴表示tip\"\n },\n {\n \"question\": \"图表中的颜色条代表哪个变量的值？\",\n \"answer\": \"代表count变量的值，即数据点的频率\"\n }\n]"}, {"chart": "chart_0050_heatmap", "question": "图表中的颜色条代表哪个变量的值？", "answer": "代表count变量的值，即数据点的频率", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"这个图表属于什么类型？\",\n \"answer\": \"二维直方图轮廓图（histogram2dcontour）\"\n },\n {\n \"question\": \"图表的x轴和y轴分别表示什么数据？\",\n \"answer\": \"x轴表示total_bill，y轴表示tip\"\n },\n {\n \"question\": \"图表中的颜色条代表哪个变量的值？\",\n \"answer\": \"代表count变量的值，即数据点的频率\"\n }\n]"}], "reviews": [{"question": "图中使用的数据可视化痕迹类型是什么？", "answer": "histogram2dcontour", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "根据 hovertemplate，y 轴对应的字段名称是什么？", "answer": "tip", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "模板中 heatmap 的连续色带在最小值和最大值处分别使用什么颜色？", "answer": "最小值颜色为 #0d0887，最大值颜色为 #f0f921", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "这个图表属于什么类型？", "answer": "二维直方图轮廓图（histogram2dcontour）", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "图表的x轴和y轴分别表示什么数据？", "answer": "x轴表示total_bill，y轴表示tip", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "图表中的颜色条代表哪个变量的值？", "answer": "代表count变量的值，即数据点的频率", "passed": true, "score": 9.5, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 9.5, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "图中使用的数据可视化痕迹类型是什么？", "answer": "histogram2dcontour", "passed": true, "score": 10.0}, {"question": "根据 hovertemplate，y 轴对应的字段名称是什么？", "answer": "tip", "passed": true, "score": 10.0}, {"question": "模板中 heatmap 的连续色带在最小值和最大值处分别使用什么颜色？", "answer": "最小值颜色为 #0d0887，最大值颜色为 #f0f921", "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": "这个图表属于什么类型？", "kept_question": "图中使用的数据可视化痕迹类型是什么？", "similarity": 95.0, "reason": "Both questions ask for the type of visualization used in the chart, with answers identifying it as 'histogram2dcontour'."}], "removed_after_repair": []}} | |
| {"chart": "chart_0051_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0051_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0051_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0051_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0051_heatmap_q3.json"], "candidates": [{"chart": "chart_0051_heatmap", "question": "在这个二维等高线热力图中，x 轴和 y 轴分别对应哪个变量？", "answer": "x 轴对应 total_bill，y 轴对应 tip。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个二维等高线热力图中，x 轴和 y 轴分别对应哪个变量？\",\n \"answer\": \"x 轴对应 total_bill，y 轴对应 tip。\"\n },\n {\n \"question\": \"该图表中一共定义了多少个 Plotly trace（包含二维等高线和边际直方图）？\",\n \"answer\": \"共 3 个 trace。\"\n },\n {\n \"question\": \"图中是否同时包含 total_bill 和 tip 两个变量的边际直方图？\",\n \"answer\": \"是，包含一个 total_bill 的直方图和一个 tip 的直方图。\"\n }\n]"}, {"chart": "chart_0051_heatmap", "question": "该图表中一共定义了多少个 Plotly trace（包含二维等高线和边际直方图）？", "answer": "共 3 个 trace。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个二维等高线热力图中，x 轴和 y 轴分别对应哪个变量？\",\n \"answer\": \"x 轴对应 total_bill，y 轴对应 tip。\"\n },\n {\n \"question\": \"该图表中一共定义了多少个 Plotly trace（包含二维等高线和边际直方图）？\",\n \"answer\": \"共 3 个 trace。\"\n },\n {\n \"question\": \"图中是否同时包含 total_bill 和 tip 两个变量的边际直方图？\",\n \"answer\": \"是，包含一个 total_bill 的直方图和一个 tip 的直方图。\"\n }\n]"}, {"chart": "chart_0051_heatmap", "question": "图中是否同时包含 total_bill 和 tip 两个变量的边际直方图？", "answer": "是，包含一个 total_bill 的直方图和一个 tip 的直方图。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个二维等高线热力图中，x 轴和 y 轴分别对应哪个变量？\",\n \"answer\": \"x 轴对应 total_bill，y 轴对应 tip。\"\n },\n {\n \"question\": \"该图表中一共定义了多少个 Plotly trace（包含二维等高线和边际直方图）？\",\n \"answer\": \"共 3 个 trace。\"\n },\n {\n \"question\": \"图中是否同时包含 total_bill 和 tip 两个变量的边际直方图？\",\n \"answer\": \"是，包含一个 total_bill 的直方图和一个 tip 的直方图。\"\n }\n]"}, {"chart": "chart_0051_heatmap", "question": "热力图轮廓显示哪两个变量的联合分布？", "answer": "total_bill 和 tip", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"热力图轮廓显示哪两个变量的联合分布？\",\n \"answer\": \"total_bill 和 tip\"\n },\n {\n \"question\": \"在 total_bill 的直方图中，计数（count）对应哪个轴？\",\n \"answer\": \"y轴\"\n },\n {\n \"question\": \"图表中包含多少个数据系列？\",\n \"answer\": \"3个\"\n }\n]"}, {"chart": "chart_0051_heatmap", "question": "在 total_bill 的直方图中，计数（count）对应哪个轴？", "answer": "y轴", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"热力图轮廓显示哪两个变量的联合分布？\",\n \"answer\": \"total_bill 和 tip\"\n },\n {\n \"question\": \"在 total_bill 的直方图中，计数（count）对应哪个轴？\",\n \"answer\": \"y轴\"\n },\n {\n \"question\": \"图表中包含多少个数据系列？\",\n \"answer\": \"3个\"\n }\n]"}, {"chart": "chart_0051_heatmap", "question": "图表中包含多少个数据系列？", "answer": "3个", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"热力图轮廓显示哪两个变量的联合分布？\",\n \"answer\": \"total_bill 和 tip\"\n },\n {\n \"question\": \"在 total_bill 的直方图中，计数（count）对应哪个轴？\",\n \"answer\": \"y轴\"\n },\n {\n \"question\": \"图表中包含多少个数据系列？\",\n \"answer\": \"3个\"\n }\n]"}], "reviews": [{"question": "在这个二维等高线热力图中，x 轴和 y 轴分别对应哪个变量？", "answer": "x 轴对应 total_bill，y 轴对应 tip。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "该图表中一共定义了多少个 Plotly trace（包含二维等高线和边际直方图）？", "answer": "共 3 个 trace。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "图中是否同时包含 total_bill 和 tip 两个变量的边际直方图？", "answer": "是，包含一个 total_bill 的直方图和一个 tip 的直方图。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "热力图轮廓显示哪两个变量的联合分布？", "answer": "total_bill 和 tip", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在 total_bill 的直方图中，计数（count）对应哪个轴？", "answer": "y轴", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "图表中包含多少个数据系列？", "answer": "3个", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "在这个二维等高线热力图中，x 轴和 y 轴分别对应哪个变量？", "answer": "x 轴对应 total_bill，y 轴对应 tip。", "passed": true, "score": 10.0}, {"question": "该图表中一共定义了多少个 Plotly trace（包含二维等高线和边际直方图）？", "answer": "共 3 个 trace。", "passed": true, "score": 10.0}, {"question": "图中是否同时包含 total_bill 和 tip 两个变量的边际直方图？", "answer": "是，包含一个 total_bill 的直方图和一个 tip 的直方图。", "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": "热力图轮廓显示哪两个变量的联合分布？", "kept_question": "在这个二维等高线热力图中，x 轴和 y 轴分别对应哪个变量？", "similarity": 95.0, "reason": "Both questions ask for the two variables represented in the heatmap/contour plot. Question A asks directly which variables show joint distribution, while Question B asks for x and y axis variables, which are the same two variables in this context."}, {"dropped_question": "图表中包含多少个数据系列？", "kept_question": "该图表中一共定义了多少个 Plotly trace（包含二维等高线和边际直方图）？", "similarity": 95.0, "reason": "Both questions ask for the number of data series/traces in the chart, which is the same underlying count of visual elements."}], "removed_after_repair": []}} | |
| {"chart": "chart_0045_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0045_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0045_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0045_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0045_heatmap_q3.json"], "candidates": [{"chart": "chart_0045_heatmap", "question": "在这个二维直方图中，z 轴（颜色值）对数据使用的聚合函数是什么？", "answer": "avg", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个二维直方图中，z 轴（颜色值）对数据使用的聚合函数是什么？\",\n \"answer\": \"avg\"\n },\n {\n \"question\": \"根据 hovertemplate，哪一个变量映射在 y 轴上？\",\n \"answer\": \"petal_width\"\n },\n {\n \"question\": \"在该图使用的 colorscale 中，最大数值对应的颜色代码是什么？\",\n \"answer\": \"#f0f921\"\n }\n]"}, {"chart": "chart_0045_heatmap", "question": "根据 hovertemplate，哪一个变量映射在 y 轴上？", "answer": "petal_width", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个二维直方图中，z 轴（颜色值）对数据使用的聚合函数是什么？\",\n \"answer\": \"avg\"\n },\n {\n \"question\": \"根据 hovertemplate，哪一个变量映射在 y 轴上？\",\n \"answer\": \"petal_width\"\n },\n {\n \"question\": \"在该图使用的 colorscale 中，最大数值对应的颜色代码是什么？\",\n \"answer\": \"#f0f921\"\n }\n]"}, {"chart": "chart_0045_heatmap", "question": "在该图使用的 colorscale 中，最大数值对应的颜色代码是什么？", "answer": "#f0f921", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个二维直方图中，z 轴（颜色值）对数据使用的聚合函数是什么？\",\n \"answer\": \"avg\"\n },\n {\n \"question\": \"根据 hovertemplate，哪一个变量映射在 y 轴上？\",\n \"answer\": \"petal_width\"\n },\n {\n \"question\": \"在该图使用的 colorscale 中，最大数值对应的颜色代码是什么？\",\n \"answer\": \"#f0f921\"\n }\n]"}, {"chart": "chart_0045_heatmap", "question": "热力图的x轴表示哪个变量？", "answer": "petal_length（花瓣长度）", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"热力图的x轴表示哪个变量？\",\n \"answer\": \"petal_length（花瓣长度）\"\n },\n {\n \"question\": \"图表中颜色强度代表的统计量是什么？\",\n \"answer\": \"sepal_length（萼片长度）的平均值\"\n },\n {\n \"question\": \"根据源码，这个图表的类型是什么？\",\n \"answer\": \"histogram2d（二维直方图热力图）\"\n }\n]"}, {"chart": "chart_0045_heatmap", "question": "图表中颜色强度代表的统计量是什么？", "answer": "sepal_length（萼片长度）的平均值", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"热力图的x轴表示哪个变量？\",\n \"answer\": \"petal_length（花瓣长度）\"\n },\n {\n \"question\": \"图表中颜色强度代表的统计量是什么？\",\n \"answer\": \"sepal_length（萼片长度）的平均值\"\n },\n {\n \"question\": \"根据源码，这个图表的类型是什么？\",\n \"answer\": \"histogram2d（二维直方图热力图）\"\n }\n]"}, {"chart": "chart_0045_heatmap", "question": "根据源码，这个图表的类型是什么？", "answer": "histogram2d（二维直方图热力图）", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"热力图的x轴表示哪个变量？\",\n \"answer\": \"petal_length（花瓣长度）\"\n },\n {\n \"question\": \"图表中颜色强度代表的统计量是什么？\",\n \"answer\": \"sepal_length（萼片长度）的平均值\"\n },\n {\n \"question\": \"根据源码，这个图表的类型是什么？\",\n \"answer\": \"histogram2d（二维直方图热力图）\"\n }\n]"}], "reviews": [{"question": "在这个二维直方图中，z 轴（颜色值）对数据使用的聚合函数是什么？", "answer": "avg", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "根据 hovertemplate，哪一个变量映射在 y 轴上？", "answer": "petal_width", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在该图使用的 colorscale 中，最大数值对应的颜色代码是什么？", "answer": "#f0f921", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "热力图的x轴表示哪个变量？", "answer": "petal_length（花瓣长度）", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "图表中颜色强度代表的统计量是什么？", "answer": "sepal_length（萼片长度）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": "根据源码，这个图表的类型是什么？", "answer": "histogram2d（二维直方图热力图）", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "在这个二维直方图中，z 轴（颜色值）对数据使用的聚合函数是什么？", "answer": "avg", "passed": true, "score": 10.0}, {"question": "根据 hovertemplate，哪一个变量映射在 y 轴上？", "answer": "petal_width", "passed": true, "score": 10.0}, {"question": "在该图使用的 colorscale 中，最大数值对应的颜色代码是什么？", "answer": "#f0f921", "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": "图表中颜色强度代表的统计量是什么？", "kept_question": "在这个二维直方图中，z 轴（颜色值）对数据使用的聚合函数是什么？", "similarity": 95.0, "reason": "Both questions ask about the statistical measure represented by color intensity in a chart, with Question A specifying 'sepal_length (average)' and Question B asking for the aggregation function, which is 'avg' (average). The core intent is identical."}], "removed_after_repair": []}} | |
| {"chart": "chart_0042_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0042_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0042_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0042_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0042_heatmap_q3.json"], "candidates": [{"chart": "chart_0042_heatmap", "question": "在这个二维直方图热力图中，x 轴表示什么变量？", "answer": "x 轴表示 total_bill。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个二维直方图热力图中，x 轴表示什么变量？\",\n \"answer\": \"x 轴表示 total_bill。\"\n },\n {\n \"question\": \"热力图中颜色对应的数值含义是什么？\",\n \"answer\": \"颜色对应的是每个网格中的 count（计数）。\"\n },\n {\n \"question\": \"页面中是否同时为 total_bill 和 tip 两个方向都绘制了边缘直方图？\",\n \"answer\": \"是的，total_bill 和 tip 两个方向都有各自的边缘直方图。\"\n }\n]"}, {"chart": "chart_0042_heatmap", "question": "热力图中颜色对应的数值含义是什么？", "answer": "颜色对应的是每个网格中的 count（计数）。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个二维直方图热力图中，x 轴表示什么变量？\",\n \"answer\": \"x 轴表示 total_bill。\"\n },\n {\n \"question\": \"热力图中颜色对应的数值含义是什么？\",\n \"answer\": \"颜色对应的是每个网格中的 count（计数）。\"\n },\n {\n \"question\": \"页面中是否同时为 total_bill 和 tip 两个方向都绘制了边缘直方图？\",\n \"answer\": \"是的，total_bill 和 tip 两个方向都有各自的边缘直方图。\"\n }\n]"}, {"chart": "chart_0042_heatmap", "question": "页面中是否同时为 total_bill 和 tip 两个方向都绘制了边缘直方图？", "answer": "是的，total_bill 和 tip 两个方向都有各自的边缘直方图。", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个二维直方图热力图中，x 轴表示什么变量？\",\n \"answer\": \"x 轴表示 total_bill。\"\n },\n {\n \"question\": \"热力图中颜色对应的数值含义是什么？\",\n \"answer\": \"颜色对应的是每个网格中的 count（计数）。\"\n },\n {\n \"question\": \"页面中是否同时为 total_bill 和 tip 两个方向都绘制了边缘直方图？\",\n \"answer\": \"是的，total_bill 和 tip 两个方向都有各自的边缘直方图。\"\n }\n]"}, {"chart": "chart_0042_heatmap", "question": "这个图表的主要可视化类型是什么？", "answer": "热图（histogram2d）", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"这个图表的主要可视化类型是什么？\",\n \"answer\": \"热图（histogram2d）\"\n },\n {\n \"question\": \"热图的x轴和y轴分别表示什么变量？\",\n \"answer\": \"x轴表示total_bill，y轴表示tip\"\n },\n {\n \"question\": \"热图中颜色的深浅代表什么含义？\",\n \"answer\": \"代表count（计数）\"\n }\n]"}, {"chart": "chart_0042_heatmap", "question": "热图的x轴和y轴分别表示什么变量？", "answer": "x轴表示total_bill，y轴表示tip", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"这个图表的主要可视化类型是什么？\",\n \"answer\": \"热图（histogram2d）\"\n },\n {\n \"question\": \"热图的x轴和y轴分别表示什么变量？\",\n \"answer\": \"x轴表示total_bill，y轴表示tip\"\n },\n {\n \"question\": \"热图中颜色的深浅代表什么含义？\",\n \"answer\": \"代表count（计数）\"\n }\n]"}, {"chart": "chart_0042_heatmap", "question": "热图中颜色的深浅代表什么含义？", "answer": "代表count（计数）", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"这个图表的主要可视化类型是什么？\",\n \"answer\": \"热图（histogram2d）\"\n },\n {\n \"question\": \"热图的x轴和y轴分别表示什么变量？\",\n \"answer\": \"x轴表示total_bill，y轴表示tip\"\n },\n {\n \"question\": \"热图中颜色的深浅代表什么含义？\",\n \"answer\": \"代表count（计数）\"\n }\n]"}], "reviews": [{"question": "在这个二维直方图热力图中，x 轴表示什么变量？", "answer": "x 轴表示 total_bill。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "热力图中颜色对应的数值含义是什么？", "answer": "颜色对应的是每个网格中的 count（计数）。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "页面中是否同时为 total_bill 和 tip 两个方向都绘制了边缘直方图？", "answer": "是的，total_bill 和 tip 两个方向都有各自的边缘直方图。", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "这个图表的主要可视化类型是什么？", "answer": "热图（histogram2d）", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "热图的x轴和y轴分别表示什么变量？", "answer": "x轴表示total_bill，y轴表示tip", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "热图中颜色的深浅代表什么含义？", "answer": "代表count（计数）", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "在这个二维直方图热力图中，x 轴表示什么变量？", "answer": "x 轴表示 total_bill。", "passed": true, "score": 10.0}, {"question": "热力图中颜色对应的数值含义是什么？", "answer": "颜色对应的是每个网格中的 count（计数）。", "passed": true, "score": 10.0}, {"question": "页面中是否同时为 total_bill 和 tip 两个方向都绘制了边缘直方图？", "answer": "是的，total_bill 和 tip 两个方向都有各自的边缘直方图。", "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": "热图中颜色的深浅代表什么含义？", "kept_question": "热力图中颜色对应的数值含义是什么？", "similarity": 100.0, "reason": "Both questions ask about the meaning of color intensity in a heatmap, specifically what the color represents in terms of data values, with both answers confirming it indicates count."}], "removed_after_repair": []}} | |
| {"chart": "chart_0040_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0040_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0040_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0040_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0040_heatmap_q3.json"], "candidates": [{"chart": "chart_0040_heatmap", "question": "这个图表中使用的迹线类型是什么？", "answer": "histogram2d", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个图表中使用的迹线类型是什么？\",\n \"answer\": \"histogram2d\"\n },\n {\n \"question\": \"根据悬浮提示模板，x 轴表示的变量名称是什么？\",\n \"answer\": \"total_bill\"\n },\n {\n \"question\": \"这个二维直方图使用的颜色刻度从哪一种颜色开始并以哪一种颜色结束（十六进制表示）？\",\n \"answer\": \"从 #0d0887 开始，到 #f0f921 结束\"\n }\n]"}, {"chart": "chart_0040_heatmap", "question": "根据悬浮提示模板，x 轴表示的变量名称是什么？", "answer": "total_bill", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个图表中使用的迹线类型是什么？\",\n \"answer\": \"histogram2d\"\n },\n {\n \"question\": \"根据悬浮提示模板，x 轴表示的变量名称是什么？\",\n \"answer\": \"total_bill\"\n },\n {\n \"question\": \"这个二维直方图使用的颜色刻度从哪一种颜色开始并以哪一种颜色结束（十六进制表示）？\",\n \"answer\": \"从 #0d0887 开始，到 #f0f921 结束\"\n }\n]"}, {"chart": "chart_0040_heatmap", "question": "这个二维直方图使用的颜色刻度从哪一种颜色开始并以哪一种颜色结束（十六进制表示）？", "answer": "从 #0d0887 开始，到 #f0f921 结束", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个图表中使用的迹线类型是什么？\",\n \"answer\": \"histogram2d\"\n },\n {\n \"question\": \"根据悬浮提示模板，x 轴表示的变量名称是什么？\",\n \"answer\": \"total_bill\"\n },\n {\n \"question\": \"这个二维直方图使用的颜色刻度从哪一种颜色开始并以哪一种颜色结束（十六进制表示）？\",\n \"answer\": \"从 #0d0887 开始，到 #f0f921 结束\"\n }\n]"}, {"chart": "chart_0040_heatmap", "question": "What type of chart is displayed?", "answer": "A 2D histogram (heatmap).", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"What type of chart is displayed?\",\n \"answer\": \"A 2D histogram (heatmap).\"\n },\n {\n \"question\": \"What variables are represented on the x-axis and y-axis?\",\n \"answer\": \"x-axis: total_bill, y-axis: tip.\"\n },\n {\n \"question\": \"What does the color intensity represent in the chart?\",\n \"answer\": \"The count (frequency) of data points.\"\n }\n]"}, {"chart": "chart_0040_heatmap", "question": "What variables are represented on the x-axis and y-axis?", "answer": "x-axis: total_bill, y-axis: tip.", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"What type of chart is displayed?\",\n \"answer\": \"A 2D histogram (heatmap).\"\n },\n {\n \"question\": \"What variables are represented on the x-axis and y-axis?\",\n \"answer\": \"x-axis: total_bill, y-axis: tip.\"\n },\n {\n \"question\": \"What does the color intensity represent in the chart?\",\n \"answer\": \"The count (frequency) of data points.\"\n }\n]"}, {"chart": "chart_0040_heatmap", "question": "What does the color intensity represent in the chart?", "answer": "The count (frequency) of data points.", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"What type of chart is displayed?\",\n \"answer\": \"A 2D histogram (heatmap).\"\n },\n {\n \"question\": \"What variables are represented on the x-axis and y-axis?\",\n \"answer\": \"x-axis: total_bill, y-axis: tip.\"\n },\n {\n \"question\": \"What does the color intensity represent in the chart?\",\n \"answer\": \"The count (frequency) of data points.\"\n }\n]"}], "reviews": [{"question": "这个图表中使用的迹线类型是什么？", "answer": "histogram2d", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "根据悬浮提示模板，x 轴表示的变量名称是什么？", "answer": "total_bill", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "这个二维直方图使用的颜色刻度从哪一种颜色开始并以哪一种颜色结束（十六进制表示）？", "answer": "从 #0d0887 开始，到 #f0f921 结束", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "What type of chart is displayed?", "answer": "A 2D histogram (heatmap).", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "What variables are represented on the x-axis and y-axis?", "answer": "x-axis: total_bill, y-axis: tip.", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "What does the color intensity represent in the chart?", "answer": "The count (frequency) of data points.", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "这个图表中使用的迹线类型是什么？", "answer": "histogram2d", "passed": true, "score": 10.0}, {"question": "根据悬浮提示模板，x 轴表示的变量名称是什么？", "answer": "total_bill", "passed": true, "score": 10.0}, {"question": "这个二维直方图使用的颜色刻度从哪一种颜色开始并以哪一种颜色结束（十六进制表示）？", "answer": "从 #0d0887 开始，到 #f0f921 结束", "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 type of chart is displayed?", "kept_question": "这个图表中使用的迹线类型是什么？", "similarity": 100.0, "reason": "Both questions ask about the type of chart/trace displayed, with Question A asking 'What type of chart is displayed?' and Question B asking '这个图表中使用的迹线类型是什么?' (What type of trace is used in this chart?). The answers confirm they refer to the same chart type: a 2D histogram/heatmap (histogram2d)."}], "removed_after_repair": []}} | |
| {"chart": "chart_0047_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0047_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0047_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0047_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0047_heatmap_q3.json"], "candidates": [{"chart": "chart_0047_heatmap", "question": "这个图表的直方图使用的 histnorm 归一化方式是什么？", "answer": "probability", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个图表的直方图使用的 histnorm 归一化方式是什么？\",\n \"answer\": \"probability\"\n },\n {\n \"question\": \"图中 x 轴分箱的起始值、结束值和每个箱子的宽度分别是多少？\",\n \"answer\": \"起始值为 -3，结束值为 3，每个箱子的宽度为 0.1\"\n },\n {\n \"question\": \"颜色刻度中数值最小和数值最大对应的颜色分别是什么？\",\n \"answer\": \"最小值对应颜色为 rgb(12,51,131)，最大值对应颜色为 rgb(217,30,30)\"\n }\n]"}, {"chart": "chart_0047_heatmap", "question": "图中 x 轴分箱的起始值、结束值和每个箱子的宽度分别是多少？", "answer": "起始值为 -3，结束值为 3，每个箱子的宽度为 0.1", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个图表的直方图使用的 histnorm 归一化方式是什么？\",\n \"answer\": \"probability\"\n },\n {\n \"question\": \"图中 x 轴分箱的起始值、结束值和每个箱子的宽度分别是多少？\",\n \"answer\": \"起始值为 -3，结束值为 3，每个箱子的宽度为 0.1\"\n },\n {\n \"question\": \"颜色刻度中数值最小和数值最大对应的颜色分别是什么？\",\n \"answer\": \"最小值对应颜色为 rgb(12,51,131)，最大值对应颜色为 rgb(217,30,30)\"\n }\n]"}, {"chart": "chart_0047_heatmap", "question": "颜色刻度中数值最小和数值最大对应的颜色分别是什么？", "answer": "最小值对应颜色为 rgb(12,51,131)，最大值对应颜色为 rgb(217,30,30)", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个图表的直方图使用的 histnorm 归一化方式是什么？\",\n \"answer\": \"probability\"\n },\n {\n \"question\": \"图中 x 轴分箱的起始值、结束值和每个箱子的宽度分别是多少？\",\n \"answer\": \"起始值为 -3，结束值为 3，每个箱子的宽度为 0.1\"\n },\n {\n \"question\": \"颜色刻度中数值最小和数值最大对应的颜色分别是什么？\",\n \"answer\": \"最小值对应颜色为 rgb(12,51,131)，最大值对应颜色为 rgb(217,30,30)\"\n }\n]"}, {"chart": "chart_0047_heatmap", "question": "x轴的分箱起始值是多少？", "answer": "-3", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"x轴的分箱起始值是多少？\",\n \"answer\": \"-3\"\n },\n {\n \"question\": \"颜色尺度中定义了多少个颜色停止点？\",\n \"answer\": \"5\"\n },\n {\n \"question\": \"直方图归一化为什么类型？\",\n \"answer\": \"probability\"\n }\n]"}, {"chart": "chart_0047_heatmap", "question": "颜色尺度中定义了多少个颜色停止点？", "answer": "5", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"x轴的分箱起始值是多少？\",\n \"answer\": \"-3\"\n },\n {\n \"question\": \"颜色尺度中定义了多少个颜色停止点？\",\n \"answer\": \"5\"\n },\n {\n \"question\": \"直方图归一化为什么类型？\",\n \"answer\": \"probability\"\n }\n]"}, {"chart": "chart_0047_heatmap", "question": "直方图归一化为什么类型？", "answer": "probability", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"x轴的分箱起始值是多少？\",\n \"answer\": \"-3\"\n },\n {\n \"question\": \"颜色尺度中定义了多少个颜色停止点？\",\n \"answer\": \"5\"\n },\n {\n \"question\": \"直方图归一化为什么类型？\",\n \"answer\": \"probability\"\n }\n]"}], "reviews": [{"question": "这个图表的直方图使用的 histnorm 归一化方式是什么？", "answer": "probability", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "图中 x 轴分箱的起始值、结束值和每个箱子的宽度分别是多少？", "answer": "起始值为 -3，结束值为 3，每个箱子的宽度为 0.1", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "颜色刻度中数值最小和数值最大对应的颜色分别是什么？", "answer": "最小值对应颜色为 rgb(12,51,131)，最大值对应颜色为 rgb(217,30,30)", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "x轴的分箱起始值是多少？", "answer": "-3", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "颜色尺度中定义了多少个颜色停止点？", "answer": "5", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "直方图归一化为什么类型？", "answer": "probability", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "这个图表的直方图使用的 histnorm 归一化方式是什么？", "answer": "probability", "passed": true, "score": 10.0}, {"question": "图中 x 轴分箱的起始值、结束值和每个箱子的宽度分别是多少？", "answer": "起始值为 -3，结束值为 3，每个箱子的宽度为 0.1", "passed": true, "score": 10.0}, {"question": "颜色刻度中数值最小和数值最大对应的颜色分别是什么？", "answer": "最小值对应颜色为 rgb(12,51,131)，最大值对应颜色为 rgb(217,30,30)", "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": "直方图归一化为什么类型？", "kept_question": "这个图表的直方图使用的 histnorm 归一化方式是什么？", "similarity": 95.0, "reason": "Both questions ask about the normalization type used in the histogram, with both answers being 'probability'. The wording differs slightly but the intent and required evidence are identical."}], "removed_after_repair": []}} | |
| {"chart": "chart_0043_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0043_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0043_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0043_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0043_heatmap_q3.json"], "candidates": [{"chart": "chart_0043_heatmap", "question": "图中一共绘制了多少个性别与吸烟状态组合的二维直方图子图？", "answer": "4 个", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"图中一共绘制了多少个性别与吸烟状态组合的二维直方图子图？\",\n \"answer\": \"4 个\"\n },\n {\n \"question\": \"每个二维直方图的横轴和纵轴分别表示什么变量？\",\n \"answer\": \"横轴表示 total_bill，纵轴表示 tip\"\n },\n {\n \"question\": \"图中涉及的性别与是否吸烟的四种组合分别是什么？\",\n \"answer\": \"Female/No、Female/Yes、Male/No、Male/Yes\"\n }\n]"}, {"chart": "chart_0043_heatmap", "question": "每个二维直方图的横轴和纵轴分别表示什么变量？", "answer": "横轴表示 total_bill，纵轴表示 tip", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"图中一共绘制了多少个性别与吸烟状态组合的二维直方图子图？\",\n \"answer\": \"4 个\"\n },\n {\n \"question\": \"每个二维直方图的横轴和纵轴分别表示什么变量？\",\n \"answer\": \"横轴表示 total_bill，纵轴表示 tip\"\n },\n {\n \"question\": \"图中涉及的性别与是否吸烟的四种组合分别是什么？\",\n \"answer\": \"Female/No、Female/Yes、Male/No、Male/Yes\"\n }\n]"}, {"chart": "chart_0043_heatmap", "question": "图中涉及的性别与是否吸烟的四种组合分别是什么？", "answer": "Female/No、Female/Yes、Male/No、Male/Yes", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"图中一共绘制了多少个性别与吸烟状态组合的二维直方图子图？\",\n \"answer\": \"4 个\"\n },\n {\n \"question\": \"每个二维直方图的横轴和纵轴分别表示什么变量？\",\n \"answer\": \"横轴表示 total_bill，纵轴表示 tip\"\n },\n {\n \"question\": \"图中涉及的性别与是否吸烟的四种组合分别是什么？\",\n \"answer\": \"Female/No、Female/Yes、Male/No、Male/Yes\"\n }\n]"}, {"chart": "chart_0043_heatmap", "question": "How many distinct demographic groups are represented in the heatmap?", "answer": "4", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"How many distinct demographic groups are represented in the heatmap?\",\n \"answer\": \"4\"\n },\n {\n \"question\": \"What categorical variables are used to divide the data into subgroups in the heatmap?\",\n \"answer\": \"Sex and smoker status.\"\n },\n {\n \"question\": \"What variables are plotted on the x-axis and y-axis of the heatmap?\",\n \"answer\": \"The x-axis shows total_bill, and the y-axis shows tip.\"\n }\n]"}, {"chart": "chart_0043_heatmap", "question": "What categorical variables are used to divide the data into subgroups in the heatmap?", "answer": "Sex and smoker status.", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"How many distinct demographic groups are represented in the heatmap?\",\n \"answer\": \"4\"\n },\n {\n \"question\": \"What categorical variables are used to divide the data into subgroups in the heatmap?\",\n \"answer\": \"Sex and smoker status.\"\n },\n {\n \"question\": \"What variables are plotted on the x-axis and y-axis of the heatmap?\",\n \"answer\": \"The x-axis shows total_bill, and the y-axis shows tip.\"\n }\n]"}, {"chart": "chart_0043_heatmap", "question": "What variables are plotted on the x-axis and y-axis of the heatmap?", "answer": "The x-axis shows total_bill, and the y-axis shows tip.", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"How many distinct demographic groups are represented in the heatmap?\",\n \"answer\": \"4\"\n },\n {\n \"question\": \"What categorical variables are used to divide the data into subgroups in the heatmap?\",\n \"answer\": \"Sex and smoker status.\"\n },\n {\n \"question\": \"What variables are plotted on the x-axis and y-axis of the heatmap?\",\n \"answer\": \"The x-axis shows total_bill, and the y-axis shows tip.\"\n }\n]"}], "reviews": [{"question": "图中一共绘制了多少个性别与吸烟状态组合的二维直方图子图？", "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": "每个二维直方图的横轴和纵轴分别表示什么变量？", "answer": "横轴表示 total_bill，纵轴表示 tip", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "图中涉及的性别与是否吸烟的四种组合分别是什么？", "answer": "Female/No、Female/Yes、Male/No、Male/Yes", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "How many distinct demographic groups are represented in the heatmap?", "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 categorical variables are used to divide the data into subgroups in the heatmap?", "answer": "Sex and smoker status.", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "What variables are plotted on the x-axis and y-axis of the heatmap?", "answer": "The x-axis shows total_bill, and the y-axis shows tip.", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "图中一共绘制了多少个性别与吸烟状态组合的二维直方图子图？", "answer": "4 个", "passed": true, "score": 10.0}, {"question": "每个二维直方图的横轴和纵轴分别表示什么变量？", "answer": "横轴表示 total_bill，纵轴表示 tip", "passed": true, "score": 10.0}, {"question": "图中涉及的性别与是否吸烟的四种组合分别是什么？", "answer": "Female/No、Female/Yes、Male/No、Male/Yes", "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 distinct demographic groups are represented in the heatmap?", "kept_question": "图中一共绘制了多少个性别与吸烟状态组合的二维直方图子图？", "similarity": 95.0, "reason": "Both questions ask for the count of distinct demographic combinations (gender and smoking status) represented in the visualization, resulting in the same answer."}, {"dropped_question": "What variables are plotted on the x-axis and y-axis of the heatmap?", "kept_question": "每个二维直方图的横轴和纵轴分别表示什么变量？", "similarity": 100.0, "reason": "Both questions ask for the variables on the x-axis and y-axis of the same chart type (heatmap/2D histogram), and the answers specify identical variables (total_bill on x-axis, tip on y-axis)."}], "removed_after_repair": []}} | |
| {"chart": "chart_0048_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0048_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0048_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0048_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0048_heatmap_q3.json"], "candidates": [{"chart": "chart_0048_heatmap", "question": "在这个 Plotly 图表的配置中，一共定义了多少个 histogram2d 轨迹（trace）？", "answer": "4 个", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个 Plotly 图表的配置中，一共定义了多少个 histogram2d 轨迹（trace）？\",\n \"answer\": \"4 个\"\n },\n {\n \"question\": \"在第一个 histogram2d 轨迹中，x 数据为 [1, 2, 2, 3, 4]，其中哪个 x 值出现次数最多？\",\n \"answer\": \"2\"\n },\n {\n \"question\": \"在第二个 histogram2d 轨迹中，x = [4, 5, 5, 5, 6] 且 y = [4, 5, 5, 5, 6]，其中坐标点 (5,5) 在数据中出现了多少次？\",\n \"answer\": \"3 次\"\n }\n]"}, {"chart": "chart_0048_heatmap", "question": "在第一个 histogram2d 轨迹中，x 数据为 [1, 2, 2, 3, 4]，其中哪个 x 值出现次数最多？", "answer": "2", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个 Plotly 图表的配置中，一共定义了多少个 histogram2d 轨迹（trace）？\",\n \"answer\": \"4 个\"\n },\n {\n \"question\": \"在第一个 histogram2d 轨迹中，x 数据为 [1, 2, 2, 3, 4]，其中哪个 x 值出现次数最多？\",\n \"answer\": \"2\"\n },\n {\n \"question\": \"在第二个 histogram2d 轨迹中，x = [4, 5, 5, 5, 6] 且 y = [4, 5, 5, 5, 6]，其中坐标点 (5,5) 在数据中出现了多少次？\",\n \"answer\": \"3 次\"\n }\n]"}, {"chart": "chart_0048_heatmap", "question": "在第二个 histogram2d 轨迹中，x = [4, 5, 5, 5, 6] 且 y = [4, 5, 5, 5, 6]，其中坐标点 (5,5) 在数据中出现了多少次？", "answer": "3 次", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"在这个 Plotly 图表的配置中，一共定义了多少个 histogram2d 轨迹（trace）？\",\n \"answer\": \"4 个\"\n },\n {\n \"question\": \"在第一个 histogram2d 轨迹中，x 数据为 [1, 2, 2, 3, 4]，其中哪个 x 值出现次数最多？\",\n \"answer\": \"2\"\n },\n {\n \"question\": \"在第二个 histogram2d 轨迹中，x = [4, 5, 5, 5, 6] 且 y = [4, 5, 5, 5, 6]，其中坐标点 (5,5) 在数据中出现了多少次？\",\n \"answer\": \"3 次\"\n }\n]"}, {"chart": "chart_0048_heatmap", "question": "What is the bin size for the x-axis in the top-left subplot?", "answer": "1", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"What is the bin size for the x-axis in the top-left subplot?\",\n \"answer\": \"1\"\n },\n {\n \"question\": \"In the top-right subplot, which x-value occurs most frequently?\",\n \"answer\": \"5\"\n },\n {\n \"question\": \"Which subplot has a smaller minimum y-value: bottom-left or bottom-right?\",\n \"answer\": \"bottom-left\"\n }\n]"}, {"chart": "chart_0048_heatmap", "question": "In the top-right subplot, which x-value occurs most frequently?", "answer": "5", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"What is the bin size for the x-axis in the top-left subplot?\",\n \"answer\": \"1\"\n },\n {\n \"question\": \"In the top-right subplot, which x-value occurs most frequently?\",\n \"answer\": \"5\"\n },\n {\n \"question\": \"Which subplot has a smaller minimum y-value: bottom-left or bottom-right?\",\n \"answer\": \"bottom-left\"\n }\n]"}, {"chart": "chart_0048_heatmap", "question": "Which subplot has a smaller minimum y-value: bottom-left or bottom-right?", "answer": "bottom-left", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"What is the bin size for the x-axis in the top-left subplot?\",\n \"answer\": \"1\"\n },\n {\n \"question\": \"In the top-right subplot, which x-value occurs most frequently?\",\n \"answer\": \"5\"\n },\n {\n \"question\": \"Which subplot has a smaller minimum y-value: bottom-left or bottom-right?\",\n \"answer\": \"bottom-left\"\n }\n]"}], "reviews": [{"question": "在这个 Plotly 图表的配置中，一共定义了多少个 histogram2d 轨迹（trace）？", "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": "在第一个 histogram2d 轨迹中，x 数据为 [1, 2, 2, 3, 4]，其中哪个 x 值出现次数最多？", "answer": "2", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在第二个 histogram2d 轨迹中，x = [4, 5, 5, 5, 6] 且 y = [4, 5, 5, 5, 6]，其中坐标点 (5,5) 在数据中出现了多少次？", "answer": "3 次", "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 bin size for the x-axis in the top-left subplot?", "answer": "1", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "In the top-right subplot, which x-value occurs most frequently?", "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 subplot has a smaller minimum y-value: bottom-left or bottom-right?", "answer": "bottom-left", "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 Plotly 图表的配置中，一共定义了多少个 histogram2d 轨迹（trace）？", "answer": "4 个", "passed": true, "score": 10.0}, {"question": "在第一个 histogram2d 轨迹中，x 数据为 [1, 2, 2, 3, 4]，其中哪个 x 值出现次数最多？", "answer": "2", "passed": true, "score": 10.0}, {"question": "在第二个 histogram2d 轨迹中，x = [4, 5, 5, 5, 6] 且 y = [4, 5, 5, 5, 6]，其中坐标点 (5,5) 在数据中出现了多少次？", "answer": "3 次", "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_0046_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0046_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0046_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0046_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0046_heatmap_q3.json"], "candidates": [{"chart": "chart_0046_heatmap", "question": "这个 Plotly 图表在源码中一共包含多少个数据序列（trace）？", "answer": "1 个", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个 Plotly 图表在源码中一共包含多少个数据序列（trace）？\",\n \"answer\": \"1 个\"\n },\n {\n \"question\": \"Plotly.newPlot 调用中绑定图表的 DOM 元素 id 是什么？\",\n \"answer\": \"5c0e9d56-678f-479a-8eec-5ba5f2505d78\"\n },\n {\n \"question\": \"在这个图表的配置中，x 轴数据声明的 dtype 是什么？\",\n \"answer\": \"f8\"\n }\n]"}, {"chart": "chart_0046_heatmap", "question": "Plotly.newPlot 调用中绑定图表的 DOM 元素 id 是什么？", "answer": "5c0e9d56-678f-479a-8eec-5ba5f2505d78", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个 Plotly 图表在源码中一共包含多少个数据序列（trace）？\",\n \"answer\": \"1 个\"\n },\n {\n \"question\": \"Plotly.newPlot 调用中绑定图表的 DOM 元素 id 是什么？\",\n \"answer\": \"5c0e9d56-678f-479a-8eec-5ba5f2505d78\"\n },\n {\n \"question\": \"在这个图表的配置中，x 轴数据声明的 dtype 是什么？\",\n \"answer\": \"f8\"\n }\n]"}, {"chart": "chart_0046_heatmap", "question": "在这个图表的配置中，x 轴数据声明的 dtype 是什么？", "answer": "f8", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"这个 Plotly 图表在源码中一共包含多少个数据序列（trace）？\",\n \"answer\": \"1 个\"\n },\n {\n \"question\": \"Plotly.newPlot 调用中绑定图表的 DOM 元素 id 是什么？\",\n \"answer\": \"5c0e9d56-678f-479a-8eec-5ba5f2505d78\"\n },\n {\n \"question\": \"在这个图表的配置中，x 轴数据声明的 dtype 是什么？\",\n \"answer\": \"f8\"\n }\n]"}, {"chart": "chart_0046_heatmap", "question": "这个图表是什么类型的图表？", "answer": "热图", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"这个图表是什么类型的图表？\",\n \"answer\": \"热图\"\n },\n {\n \"question\": \"图表的数据包含哪些坐标轴？\",\n \"answer\": \"x轴和y轴\"\n },\n {\n \"question\": \"图表的名称是什么？\",\n \"answer\": \"chart_0046_heatmap\"\n }\n]"}, {"chart": "chart_0046_heatmap", "question": "图表的数据包含哪些坐标轴？", "answer": "x轴和y轴", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"这个图表是什么类型的图表？\",\n \"answer\": \"热图\"\n },\n {\n \"question\": \"图表的数据包含哪些坐标轴？\",\n \"answer\": \"x轴和y轴\"\n },\n {\n \"question\": \"图表的名称是什么？\",\n \"answer\": \"chart_0046_heatmap\"\n }\n]"}, {"chart": "chart_0046_heatmap", "question": "图表的名称是什么？", "answer": "chart_0046_heatmap", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"这个图表是什么类型的图表？\",\n \"answer\": \"热图\"\n },\n {\n \"question\": \"图表的数据包含哪些坐标轴？\",\n \"answer\": \"x轴和y轴\"\n },\n {\n \"question\": \"图表的名称是什么？\",\n \"answer\": \"chart_0046_heatmap\"\n }\n]"}], "reviews": [{"question": "这个 Plotly 图表在源码中一共包含多少个数据序列（trace）？", "answer": "1 个", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "Plotly.newPlot 调用中绑定图表的 DOM 元素 id 是什么？", "answer": "5c0e9d56-678f-479a-8eec-5ba5f2505d78", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在这个图表的配置中，x 轴数据声明的 dtype 是什么？", "answer": "f8", "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图表？", "answer": "热图", "passed": false, "score": 0.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "fail", "score": 0.0, "issues": ["HTML源码中未明确指定图表类型；图表名称'chart_0046_heatmap'虽暗示热图，但未在HTML内容或外部数据中直接体现，无法从给定源码推断图表类型。"], "suggestion": "Q: 这个图表是什么类型的图表？ A: 从图表名称推断为热图，但HTML源码中未明确配置图表类型。", "grounded": false}]}, {"question": "图表的数据包含哪些坐标轴？", "answer": "x轴和y轴", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "图表的名称是什么？", "answer": "chart_0046_heatmap", "passed": false, "score": 0.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "fail", "score": 0.0, "issues": ["图表名称'chart_0046_heatmap'未在提供的HTML源码或外部数据文件中找到。源码中未包含任何明确的图表名称信息，仅包含编码的图表数据。"], "suggestion": "考虑将问题改为基于源码中可获取的信息，例如'图表的DOM元素ID是什么？'，答案可从INLINE_SCRIPTS中的Plotly配置提取，如'5c0e9d56-678f-479a-8eec-5ba5f2505d78'。", "grounded": false}]}], "chosen": [{"question": "这个 Plotly 图表在源码中一共包含多少个数据序列（trace）？", "answer": "1 个", "passed": true, "score": 10.0}, {"question": "Plotly.newPlot 调用中绑定图表的 DOM 元素 id 是什么？", "answer": "5c0e9d56-678f-479a-8eec-5ba5f2505d78", "passed": true, "score": 10.0}, {"question": "在这个图表的配置中，x 轴数据声明的 dtype 是什么？", "answer": "f8", "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_0049_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0049_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0049_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0049_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0049_heatmap_q3.json"], "candidates": [{"chart": "chart_0049_heatmap", "question": "What Plotly trace type is used to render this chart?", "answer": "histogram2d", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"What Plotly trace type is used to render this chart?\",\n \"answer\": \"histogram2d\"\n },\n {\n \"question\": \"How many color stops are defined in the colorscale for the histogram2d trace in the template?\",\n \"answer\": \"10\"\n },\n {\n \"question\": \"What is the exact value assigned to the 'texttemplate' property of the histogram2d trace?\",\n \"answer\": \"%{z}\"\n }\n]"}, {"chart": "chart_0049_heatmap", "question": "How many color stops are defined in the colorscale for the histogram2d trace in the template?", "answer": "10", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"What Plotly trace type is used to render this chart?\",\n \"answer\": \"histogram2d\"\n },\n {\n \"question\": \"How many color stops are defined in the colorscale for the histogram2d trace in the template?\",\n \"answer\": \"10\"\n },\n {\n \"question\": \"What is the exact value assigned to the 'texttemplate' property of the histogram2d trace?\",\n \"answer\": \"%{z}\"\n }\n]"}, {"chart": "chart_0049_heatmap", "question": "What is the exact value assigned to the 'texttemplate' property of the histogram2d trace?", "answer": "%{z}", "gen_model": "gpt-5.1-ca", "gen_provider": "openai", "raw": "[\n {\n \"question\": \"What Plotly trace type is used to render this chart?\",\n \"answer\": \"histogram2d\"\n },\n {\n \"question\": \"How many color stops are defined in the colorscale for the histogram2d trace in the template?\",\n \"answer\": \"10\"\n },\n {\n \"question\": \"What is the exact value assigned to the 'texttemplate' property of the histogram2d trace?\",\n \"answer\": \"%{z}\"\n }\n]"}, {"chart": "chart_0049_heatmap", "question": "这个图表是什么类型的可视化？", "answer": "histogram2d", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"这个图表是什么类型的可视化？\",\n \"answer\": \"histogram2d\"\n },\n {\n \"question\": \"在颜色尺度中，当z值为0.1111111111111111时，对应的颜色代码是什么？\",\n \"answer\": \"#46039f\"\n },\n {\n \"question\": \"热图中用于显示z值的文本模板是什么？\",\n \"answer\": \"%{z}\"\n }\n]"}, {"chart": "chart_0049_heatmap", "question": "在颜色尺度中，当z值为0.1111111111111111时，对应的颜色代码是什么？", "answer": "#46039f", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"这个图表是什么类型的可视化？\",\n \"answer\": \"histogram2d\"\n },\n {\n \"question\": \"在颜色尺度中，当z值为0.1111111111111111时，对应的颜色代码是什么？\",\n \"answer\": \"#46039f\"\n },\n {\n \"question\": \"热图中用于显示z值的文本模板是什么？\",\n \"answer\": \"%{z}\"\n }\n]"}, {"chart": "chart_0049_heatmap", "question": "热图中用于显示z值的文本模板是什么？", "answer": "%{z}", "gen_model": "deepseek-reasoner", "gen_provider": "deepseek", "raw": "[\n {\n \"question\": \"这个图表是什么类型的可视化？\",\n \"answer\": \"histogram2d\"\n },\n {\n \"question\": \"在颜色尺度中，当z值为0.1111111111111111时，对应的颜色代码是什么？\",\n \"answer\": \"#46039f\"\n },\n {\n \"question\": \"热图中用于显示z值的文本模板是什么？\",\n \"answer\": \"%{z}\"\n }\n]"}], "reviews": [{"question": "What Plotly trace type is used to render this chart?", "answer": "histogram2d", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "How many color stops are defined in the colorscale for the histogram2d trace in the template?", "answer": "10", "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 exact value assigned to the 'texttemplate' property of the histogram2d trace?", "answer": "%{z}", "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？", "answer": "histogram2d", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "在颜色尺度中，当z值为0.1111111111111111时，对应的颜色代码是什么？", "answer": "#46039f", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}, {"question": "热图中用于显示z值的文本模板是什么？", "answer": "%{z}", "passed": true, "score": 10.0, "reviews": [{"reviewer": "deepseek-reasoner", "provider": "deepseek", "verdict": "pass", "score": 10.0, "issues": [], "suggestion": null, "grounded": true}]}], "chosen": [{"question": "What Plotly trace type is used to render this chart?", "answer": "histogram2d", "passed": true, "score": 10.0}, {"question": "How many color stops are defined in the colorscale for the histogram2d trace in the template?", "answer": "10", "passed": true, "score": 10.0}, {"question": "What is the exact value assigned to the 'texttemplate' property of the histogram2d trace?", "answer": "%{z}", "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": "这个图表是什么类型的可视化？", "kept_question": "What Plotly trace type is used to render this chart?", "similarity": 95.0, "reason": "Both questions ask for the specific chart type or trace type used to create the visualization, with answers identifying it as histogram2d, indicating identical intent."}, {"dropped_question": "热图中用于显示z值的文本模板是什么？", "kept_question": "What is the exact value assigned to the 'texttemplate' property of the histogram2d trace?", "similarity": 95.0, "reason": "Both questions ask for the text template value used to display z-values in a 2D heatmap/histogram2d trace, with identical answers confirming the same property."}], "removed_after_repair": []}} | |
| {"chart": "chart_0040_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0040_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0040_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0040_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0040_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0041_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0041_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0041_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0041_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0041_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0042_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0042_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0042_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0042_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0042_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0043_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0043_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0043_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0043_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0043_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0044_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0044_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0044_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0044_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0044_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0045_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0045_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0045_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0045_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0045_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0046_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0046_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0046_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0046_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0046_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0047_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0047_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0047_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0047_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0047_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0048_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0048_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0048_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0048_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0048_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0049_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0049_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0049_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0049_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0049_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0050_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0050_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0050_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0050_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0050_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0051_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0051_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0051_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0051_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0051_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0040_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0040_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0040_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0040_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0040_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0041_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0041_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0041_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0041_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0041_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0042_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0042_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0042_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0042_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0042_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0043_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0043_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0043_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0043_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0043_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0044_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0044_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0044_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0044_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0044_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0045_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0045_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0045_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0045_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0045_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0046_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0046_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0046_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0046_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0046_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0047_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0047_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0047_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0047_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0047_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0048_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0048_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0048_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0048_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0048_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0049_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0049_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0049_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0049_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0049_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0050_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0050_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0050_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0050_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0050_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |
| {"chart": "chart_0051_heatmap", "input_path": "D:\\Project\\ChartData\\web\\Plotly\\heatmap\\chart_0051_heatmap.html", "output_paths": ["D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0051_heatmap_q1.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0051_heatmap_q2.json", "D:\\Project\\ChartData\\question_answer\\Plotly\\heatmap\\PreQA\\chart_0051_heatmap_q3.json"], "stage": "skip_existing", "reason": "found 3 existing output files"} | |