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0
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0000_convert_category_source.png
|
convert_category
|
[
{
"answer": "Pie chart",
"content": "edit",
"question": "What type of chart is used?"
},
{
"answer": "Aggregate Data Distribution",
"content": "edit",
"question": "What is the title of the chart?"
},
{
"answer": "13.2%",
"content": "maintain",
"question": "What is the percentage for Feature 1?"
},
{
"answer": "27.5%",
"content": "maintain",
"question": "What is the percentage for Feature 2?"
},
{
"answer": "59.3%",
"content": "maintain",
"question": "What is the percentage for Feature 3?"
}
] |
Edit instruction: Change the line plot to a pie chart and update the title to "Aggregate Data Distribution". Source image description: Source image shows a line chart on a white canvas: X–Y axes with ticks/gridlines, one or more polylines (likely for categories such as Feature 1, Feature 2, Feature 3), a legend or inline labels, and an existing title that does not read “Aggregate Data Distribution.” Fonts and colors are consistent with a simple analytics style. Edit explanation: Replace the entire line-plot area with a pie chart. Aggregate the data per category (e.g., Feature 1/2/3) to get totals/percent shares; use those shares as slice sizes. Remove axes, ticks, and gridlines (not used in pies). Add slice labels using the existing category names and percentage annotations. Optionally keep or drop the legend if labels are present. Ensure a square aspect ratio and centered pie. Update the figure title text to exactly “Aggregate Data Distribution.” Generated image description: Final image displays a centered pie chart with distinct-colored slices for each category, each labeled with its name and percentage. No axes or gridlines are visible. The overall typography matches the original figure’s style, with the new title “Aggregate Data Distribution” centered at the top and balanced margins around the chart.
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/target_images/0000_convert_category_target.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/output_images/0000_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_hidream_e1/output_img/0000_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_qwenedit/output_img/0000_convert_category_edited.png
|
Processed_N/A
|
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "I’m not sure—the text at the top is unclear and not readable.",
"ground_truth_answer": "Aggregate Data Distribution",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “Feature 1” label or its percentage from this pie chart image. If you can provide the legend or the color associated with Feature 1, or a clearer image, I can estimate or read the value for you.",
"ground_truth_answer": "13.2%",
"question": "What is the percentage for Feature 1?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear percentage for “Feature 2” from this image—the labels and numbers are too distorted. If you can provide the legend or the data values, I can calculate the percentage for Feature 2.",
"ground_truth_answer": "27.5%",
"question": "What is the percentage for Feature 2?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear percentage for “Feature 3” from this chart—the labels appear distorted/blurry. If you can provide the legend or the data values, I can calculate it for you.",
"ground_truth_answer": "59.3%",
"question": "What is the percentage for Feature 3?"
}
] |
[
{
"Correction": true,
"answer": "A pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "Agreggate Data Distribution",
"ground_truth_answer": "Aggregate Data Distribution",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "30.0%",
"ground_truth_answer": "13.2%",
"question": "What is the percentage for Feature 1?"
},
{
"Correction": false,
"answer": "30.6%",
"ground_truth_answer": "27.5%",
"question": "What is the percentage for Feature 2?"
},
{
"Correction": false,
"answer": "Feature 3 is 30.6%.",
"ground_truth_answer": "59.3%",
"question": "What is the percentage for Feature 3?"
}
] |
[
{
"Correction": true,
"answer": "A pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What type of chart is used?"
},
{
"Correction": true,
"answer": "Aggregate Data Distribution",
"ground_truth_answer": "Aggregate Data Distribution",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "50.3%",
"ground_truth_answer": "13.2%",
"question": "What is the percentage for Feature 1?"
},
{
"Correction": false,
"answer": "50.3%",
"ground_truth_answer": "27.5%",
"question": "What is the percentage for Feature 2?"
},
{
"Correction": false,
"answer": "I can’t read “Feature 3” on this chart. The pie only shows two segments labeled about 59.3% (green) and 40.7% (red). If “Feature 3” corresponds to one of these segments, use the matching percentage. If you can clarify which color/segment is Feature 3, I can confirm the exact value.",
"ground_truth_answer": "59.3%",
"question": "What is the percentage for Feature 3?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "I can’t read the title from this image—the text is too faint/blurry. If you can provide a clearer image or type the title, I’ll help with the rest.",
"ground_truth_answer": "Aggregate Data Distribution",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to read the labels clearly from the chart image. Could you provide the legend or the text label for “Feature 1” from the chart?",
"ground_truth_answer": "13.2%",
"question": "What is the percentage for Feature 1?"
},
{
"Correction": false,
"answer": "I’m not able to clearly read the labels on the chart. Could you provide the legend or the exact label for “Feature 2,” or a higher-resolution image?",
"ground_truth_answer": "27.5%",
"question": "What is the percentage for Feature 2?"
},
{
"Correction": false,
"answer": "I can’t read the exact labels from the chart image provided. Could you share the data or a higher-resolution image so I can determine Feature 3’s percentage?",
"ground_truth_answer": "59.3%",
"question": "What is the percentage for Feature 3?"
}
] |
||||||
1
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0001_convert_category_source.png
|
convert_category
|
[
{
"answer": "Bar Chart",
"content": "edit",
"question": "What is the chart type?"
},
{
"answer": "Gene GC Content",
"content": "edit",
"question": "What is the title of the chart?"
},
{
"answer": "Genes",
"content": "maintain",
"question": "What is the label for the X-Axis?"
},
{
"answer": "GC Content (%)",
"content": "maintain",
"question": "What is the label for the Y-Axis?"
},
{
"answer": "45",
"content": "maintain",
"question": "What is the GC content for GeneA?"
},
{
"answer": "50",
"content": "maintain",
"question": "What is the GC content for GeneB?"
},
{
"answer": "48",
"content": "maintain",
"question": "What is the GC content for GeneC?"
},
{
"answer": "47",
"content": "maintain",
"question": "What is the GC content for GeneD?"
},
{
"answer": "52",
"content": "maintain",
"question": "What is the GC content for GeneE?"
}
] |
Edit instruction: Change the pie chart to a bar chart, add x-axis labeled "Genes" and y-axis labeled "GC Content (%)", and place GC content values on top of each bar. Source image description: Source image shows a pie chart visualizing GC content per gene: circular chart with colored slices for multiple genes (e.g., GeneA–GeneE), labels/legend indicating gene names and/or percentages, a clear title about GC content, and no x/y axes. Edit explanation: Replace the pie chart with a vertical bar chart using the same gene categories and GC content values. Lay out genes along the x-axis in a consistent order, set the y-axis to numeric GC content values, add axis labels: x-axis 'Genes' and y-axis 'GC Content (%)', and place the exact GC value as a text label above each corresponding bar. Remove the pie-specific legend if redundant. Generated image description: Final image is a clean vertical bar chart titled about GC content, with five bars for GeneA–GeneE at heights matching their GC values (e.g., 45, 50, 48, 47, 52). The x-axis is labeled 'Genes' and the y-axis 'GC Content (%)' with an appropriate scale. Each bar has its GC number centered slightly above the bar top, colors are distinct yet cohesive, spacing and alignment are even, and any unnecessary pie elements are gone.
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/target_images/0001_convert_category_target.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/output_images/0001_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_hidream_e1/output_img/0001_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_qwenedit/output_img/0001_convert_category_edited.png
|
Processed_N/A
|
[
{
"Correction": true,
"answer": "Bar chart (vertical bars), i.e., a column chart.",
"ground_truth_answer": "Bar Chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "The title is “Geek”.",
"ground_truth_answer": "Gene GC Content",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "Game8",
"ground_truth_answer": "Genes",
"question": "What is the label for the X-Axis?"
},
{
"Correction": false,
"answer": "Customer Count (%)",
"ground_truth_answer": "GC Content (%)",
"question": "What is the label for the Y-Axis?"
},
{
"Correction": false,
"answer": "50%",
"ground_truth_answer": "45",
"question": "What is the GC content for GeneA?"
},
{
"Correction": false,
"answer": "I’m not sure from this image. The GC content value for GeneB isn’t clearly visible. Could you provide the data table or a clearer image, or tell me the A/T/G/C counts so I can calculate it?",
"ground_truth_answer": "50",
"question": "What is the GC content for GeneB?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear GC% value for GeneC from this image. The labels are too faint/unclear. If you can share the exact numbers or a sharper image (or the sequence), I can calculate or confirm the GC content.",
"ground_truth_answer": "48",
"question": "What is the GC content for GeneC?"
},
{
"Correction": false,
"answer": "I’m not able to read the GC content for GeneD from this image. The labels are too unclear. If you can provide a clearer image or the data values, I can calculate or confirm the GC content.",
"ground_truth_answer": "47",
"question": "What is the GC content for GeneD?"
},
{
"Correction": false,
"answer": "I can’t read the GC content value for GeneE from this image. Could you provide a clearer image or the data values?",
"ground_truth_answer": "52",
"question": "What is the GC content for GeneE?"
}
] |
[
{
"Correction": false,
"answer": "Grouped bar chart (clustered column chart).",
"ground_truth_answer": "Bar Chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Gote Intubat",
"ground_truth_answer": "Gene GC Content",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "Gote Intubat",
"ground_truth_answer": "Genes",
"question": "What is the label for the X-Axis?"
},
{
"Correction": false,
"answer": "CO2 Emissions (g)",
"ground_truth_answer": "GC Content (%)",
"question": "What is the label for the Y-Axis?"
},
{
"Correction": false,
"answer": "30%",
"ground_truth_answer": "45",
"question": "What is the GC content for GeneA?"
},
{
"Correction": false,
"answer": "I’m not able to read the GC content for GeneB from this chart—the labels and values aren’t clear. Could you provide the numeric value or a higher‑resolution image?",
"ground_truth_answer": "50",
"question": "What is the GC content for GeneB?"
},
{
"Correction": false,
"answer": "I’m not sure from this chart. The labels are hard to read, and I can’t clearly identify the bar for GeneC. Could you share a clearer image or the data values?",
"ground_truth_answer": "48",
"question": "What is the GC content for GeneC?"
},
{
"Correction": false,
"answer": "I’m not sure—this chart’s text is too distorted for me to read the values clearly. If you can share the numeric GC content for each gene (or a clearer image), I can identify GeneD’s value.",
"ground_truth_answer": "47",
"question": "What is the GC content for GeneD?"
},
{
"Correction": false,
"answer": "45%",
"ground_truth_answer": "52",
"question": "What is the GC content for GeneE?"
}
] |
[
{
"Correction": true,
"answer": "Bar chart (vertical bar graph).",
"ground_truth_answer": "Bar Chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Online Sales in US (Jan–Jun)",
"ground_truth_answer": "Gene GC Content",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "Categories",
"ground_truth_answer": "Genes",
"question": "What is the label for the X-Axis?"
},
{
"Correction": false,
"answer": "Cost (in $)",
"ground_truth_answer": "GC Content (%)",
"question": "What is the label for the Y-Axis?"
},
{
"Correction": false,
"answer": "50%",
"ground_truth_answer": "45",
"question": "What is the GC content for GeneA?"
},
{
"Correction": true,
"answer": "45%",
"ground_truth_answer": "50",
"question": "What is the GC content for GeneB?"
},
{
"Correction": false,
"answer": "57%",
"ground_truth_answer": "48",
"question": "What is the GC content for GeneC?"
},
{
"Correction": false,
"answer": "57%",
"ground_truth_answer": "47",
"question": "What is the GC content for GeneD?"
},
{
"Correction": false,
"answer": "57%",
"ground_truth_answer": "52",
"question": "What is the GC content for GeneE?"
}
] |
[
{
"Correction": true,
"answer": "Bar chart (vertical bar graph).",
"ground_truth_answer": "Bar Chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "GC Content (%)",
"ground_truth_answer": "Gene GC Content",
"question": "What is the title of the chart?"
},
{
"Correction": true,
"answer": "Genes",
"ground_truth_answer": "Genes",
"question": "What is the label for the X-Axis?"
},
{
"Correction": true,
"answer": "GC (%)",
"ground_truth_answer": "GC Content (%)",
"question": "What is the label for the Y-Axis?"
},
{
"Correction": true,
"answer": "GeneA has a GC content of 45%.",
"ground_truth_answer": "45",
"question": "What is the GC content for GeneA?"
},
{
"Correction": false,
"answer": "65%",
"ground_truth_answer": "50",
"question": "What is the GC content for GeneB?"
},
{
"Correction": false,
"answer": "60%",
"ground_truth_answer": "48",
"question": "What is the GC content for GeneC?"
},
{
"Correction": false,
"answer": "50%",
"ground_truth_answer": "47",
"question": "What is the GC content for GeneD?"
},
{
"Correction": true,
"answer": "55%",
"ground_truth_answer": "52",
"question": "What is the GC content for GeneE?"
}
] |
||||||
2
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0002_convert_category_source.png
|
convert_category
|
[
{
"answer": "Pie chart",
"content": "edit",
"question": "What is the chart type?"
},
{
"answer": "Climate Strategies Overview",
"content": "edit",
"question": "What is the title of the chart?"
},
{
"answer": "18.9%",
"content": "maintain",
"question": "What is the percentage for Strategy A?"
},
{
"answer": "24.5%",
"content": "maintain",
"question": "What is the percentage for Strategy B?"
},
{
"answer": "26.4%",
"content": "maintain",
"question": "What is the percentage for Strategy C?"
},
{
"answer": "30.2%",
"content": "maintain",
"question": "What is the percentage for Strategy D?"
}
] |
Edit instruction: Convert the horizontal bar chart into a pie chart with each segment labeled with percentages and oriented such that the first segment starts from 140 degrees. Source image description: A centered pie chart titled Climate Strategies Overview with four wedges: Strategy A (blue), Strategy B (khaki), Strategy C (purple), Strategy D (teal). Each wedge already shows a percentage label inside (approx. 18.9%, 24.5%, 26.4%, 30.2%), with category names placed around the outside. Clean white background; no axes; wedges touch at the center with thin black edge or default edge. Edit explanation: No horizontal bar chart is present, so only adjust the pie: set the starting angle so the first segment (Strategy A) begins at 140 degrees; preserve wedge order A → B → C → D clockwise from that start. Ensure each wedge displays its percentage label (e.g., 18.9%, 24.5%, 26.4%, 30.2%) clearly; nudge labels to avoid overlap if needed and keep title unchanged. Maintain current colors and proportions. Generated image description: Final image shows the same four-color pie chart, rotated so Strategy A’s blue wedge starts at 140 degrees, followed clockwise by B (khaki), C (purple), and D (teal). Each wedge contains a crisp percentage label centered within the slice; category names remain around the perimeter or in a legend without clutter. The overall composition remains clean with the original title, but orientation and labeling conform exactly to the 140-degree start and explicit percentage annotations.
|
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|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/output_images/0002_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_hidream_e1/output_img/0002_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_qwenedit/output_img/0002_convert_category_edited.png
|
Processed_N/A
|
[
{
"Correction": true,
"answer": "A pie chart (with exploded slices).",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Climate Strategies Overview",
"ground_truth_answer": "Climate Strategies Overview",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "10.5%",
"ground_truth_answer": "18.9%",
"question": "What is the percentage for Strategy A?"
},
{
"Correction": false,
"answer": "Strategy B is 20.9%.",
"ground_truth_answer": "24.5%",
"question": "What is the percentage for Strategy B?"
},
{
"Correction": false,
"answer": "Strategy C is 16.9%.",
"ground_truth_answer": "26.4%",
"question": "What is the percentage for Strategy C?"
},
{
"Correction": false,
"answer": "I can’t determine it from this image—the slice labels are cut off and “Strategy D” isn’t visible. If you can share the data values or a clearer chart, I can calculate it.",
"ground_truth_answer": "30.2%",
"question": "What is the percentage for Strategy D?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Climate Strategies Overview",
"ground_truth_answer": "Climate Strategies Overview",
"question": "What is the title of the chart?"
},
{
"Correction": true,
"answer": "20.3%",
"ground_truth_answer": "18.9%",
"question": "What is the percentage for Strategy A?"
},
{
"Correction": false,
"answer": "Strategy B is 20.2%.",
"ground_truth_answer": "24.5%",
"question": "What is the percentage for Strategy B?"
},
{
"Correction": false,
"answer": "18.3%",
"ground_truth_answer": "26.4%",
"question": "What is the percentage for Strategy C?"
},
{
"Correction": false,
"answer": "21.5%",
"ground_truth_answer": "30.2%",
"question": "What is the percentage for Strategy D?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Climate Strategies Overview",
"ground_truth_answer": "Climate Strategies Overview",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "24.3%",
"ground_truth_answer": "18.9%",
"question": "What is the percentage for Strategy A?"
},
{
"Correction": false,
"answer": "Strategy B: 39.7%",
"ground_truth_answer": "24.5%",
"question": "What is the percentage for Strategy B?"
},
{
"Correction": false,
"answer": "Strategy C is 38.4%.",
"ground_truth_answer": "26.4%",
"question": "What is the percentage for Strategy C?"
},
{
"Correction": false,
"answer": "18.8%",
"ground_truth_answer": "30.2%",
"question": "What is the percentage for Strategy D?"
}
] |
[
{
"Correction": false,
"answer": "Dumbbell/Marimekko-like? Wait.\n\nThis is a horizontal “funnel” style chart made of stacked segments — a funnel chart (horizontal).",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Climate Strategies Overview",
"ground_truth_answer": "Climate Strategies Overview",
"question": "What is the title of the chart?"
},
{
"Correction": true,
"answer": "18.3%",
"ground_truth_answer": "18.9%",
"question": "What is the percentage for Strategy A?"
},
{
"Correction": false,
"answer": "18.3%",
"ground_truth_answer": "24.5%",
"question": "What is the percentage for Strategy B?"
},
{
"Correction": false,
"answer": "18.23%",
"ground_truth_answer": "26.4%",
"question": "What is the percentage for Strategy C?"
},
{
"Correction": false,
"answer": "14.9%",
"ground_truth_answer": "30.2%",
"question": "What is the percentage for Strategy D?"
}
] |
||||||
3
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0003_convert_category_source.png
|
convert_category
|
[
{
"answer": "Pie chart",
"content": "edit",
"question": "What is the chart type?"
},
{
"answer": "21.1%",
"content": "maintain",
"question": "What percentage is labeled for Healthcare?"
},
{
"answer": "22.5%",
"content": "maintain",
"question": "What percentage is labeled for Social Media?"
},
{
"answer": "18.3%",
"content": "maintain",
"question": "What percentage is labeled for Finance?"
},
{
"answer": "16.9%",
"content": "maintain",
"question": "What percentage is labeled for Consumer Goods?"
},
{
"answer": "12.7%",
"content": "maintain",
"question": "What percentage is labeled for Technology?"
},
{
"answer": "8.5%",
"content": "maintain",
"question": "What percentage is labeled for Sports?"
}
] |
Edit instruction: Replace the 3D bars with 2D pie slices and adjust the chart's orientation to appear circular; change the title to "Pie Chart of Various Sectors" and apply distinct colors to each sector slice. Source image description: A clean 2D pie chart centered on white background. Six labeled sectors: Finance, Social Media, Technology, Sports, Healthcare, Consumer Goods. Each wedge has an interior percentage (approx. Social Media 22.5%, Healthcare 21.1%, Finance 18.3%, Consumer Goods 16.9%, Technology 12.7%, Sports 8.5%). Distinct colors already used; labels placed around the perimeter; title centered reads “Pie Chart of Various Sectors.” Edit explanation: Edits to satisfy the instruction: ensure the chart is strictly a 2D circle (1:1 aspect, no 3D effects); confirm/overwrite the title text to exactly “Pie Chart of Various Sectors”; assign uniquely colored fills to each slice for clear differentiation (e.g., Finance #9ecae1, Social Media #1f77b4, Technology #b2df8a, Sports #33a02c, Healthcare #fca5a5, Consumer Goods #e31a1c); keep percentage labels legible within slices and sector names outside with leader lines if needed. Generated image description: Final image is a perfectly circular, flat 2D pie chart titled “Pie Chart of Various Sectors.” Six wedges sized as in the source, each in a distinct, high-contrast color. Percentages remain centered inside each wedge; sector names sit neatly around the circumference. No bars or 3D depth—just a crisp, colorful pie that integrates seamlessly with the original layout and white background.
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/target_images/0003_convert_category_target.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/output_images/0003_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_hidream_e1/output_img/0003_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_qwenedit/output_img/0003_convert_category_edited.png
|
Processed_N/A
|
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "12.14%",
"ground_truth_answer": "21.1%",
"question": "What percentage is labeled for Healthcare?"
},
{
"Correction": false,
"answer": "I can’t determine that from this chart. It shows sectors like Technology, Healthcare, Finance, and Entertainment, but there isn’t a slice labeled Social Media.",
"ground_truth_answer": "22.5%",
"question": "What percentage is labeled for Social Media?"
},
{
"Correction": false,
"answer": "22.86%",
"ground_truth_answer": "18.3%",
"question": "What percentage is labeled for Finance?"
},
{
"Correction": false,
"answer": "22.22%",
"ground_truth_answer": "16.9%",
"question": "What percentage is labeled for Consumer Goods?"
},
{
"Correction": false,
"answer": "30.55%",
"ground_truth_answer": "12.7%",
"question": "What percentage is labeled for Technology?"
},
{
"Correction": false,
"answer": "22.86%",
"ground_truth_answer": "8.5%",
"question": "What percentage is labeled for Sports?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Healthcare is labeled 15%.",
"ground_truth_answer": "21.1%",
"question": "What percentage is labeled for Healthcare?"
},
{
"Correction": false,
"answer": "17.5%",
"ground_truth_answer": "22.5%",
"question": "What percentage is labeled for Social Media?"
},
{
"Correction": false,
"answer": "12.9%",
"ground_truth_answer": "18.3%",
"question": "What percentage is labeled for Finance?"
},
{
"Correction": false,
"answer": "12.9%",
"ground_truth_answer": "16.9%",
"question": "What percentage is labeled for Consumer Goods?"
},
{
"Correction": true,
"answer": "12.9%",
"ground_truth_answer": "12.7%",
"question": "What percentage is labeled for Technology?"
},
{
"Correction": false,
"answer": "12.9%",
"ground_truth_answer": "8.5%",
"question": "What percentage is labeled for Sports?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "I’m not seeing a label for “Healthcare” on this chart. Could you provide the legend or a clearer image that shows the sector names?",
"ground_truth_answer": "21.1%",
"question": "What percentage is labeled for Healthcare?"
},
{
"Correction": false,
"answer": "I’m not seeing any label names on the pie chart segments, so I can’t tell which slice corresponds to “Social Media.” If you can provide the legend or the color for Social Media, I can give you the percentage.",
"ground_truth_answer": "22.5%",
"question": "What percentage is labeled for Social Media?"
},
{
"Correction": false,
"answer": "I can’t read a “Finance” label or percentage on this chart. The labels appear missing or unreadable. If you can provide the legend or data values, I can calculate the Finance percentage.",
"ground_truth_answer": "18.3%",
"question": "What percentage is labeled for Finance?"
},
{
"Correction": false,
"answer": "I can’t read a “Consumer Goods” label or percentage in this pie chart image. Could you provide a clearer image or the legend/labels?",
"ground_truth_answer": "16.9%",
"question": "What percentage is labeled for Consumer Goods?"
},
{
"Correction": false,
"answer": "10.5%",
"ground_truth_answer": "12.7%",
"question": "What percentage is labeled for Technology?"
},
{
"Correction": false,
"answer": "I can’t read a “Sports” label or percentage from this chart. Could you provide the legend or labels for the slices?",
"ground_truth_answer": "8.5%",
"question": "What percentage is labeled for Sports?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "27.30%",
"ground_truth_answer": "21.1%",
"question": "What percentage is labeled for Healthcare?"
},
{
"Correction": true,
"answer": "22.34%",
"ground_truth_answer": "22.5%",
"question": "What percentage is labeled for Social Media?"
},
{
"Correction": false,
"answer": "16.09%",
"ground_truth_answer": "18.3%",
"question": "What percentage is labeled for Finance?"
},
{
"Correction": false,
"answer": "27.30%",
"ground_truth_answer": "16.9%",
"question": "What percentage is labeled for Consumer Goods?"
},
{
"Correction": false,
"answer": "48.88%",
"ground_truth_answer": "12.7%",
"question": "What percentage is labeled for Technology?"
},
{
"Correction": false,
"answer": "27.30%",
"ground_truth_answer": "8.5%",
"question": "What percentage is labeled for Sports?"
}
] |
||||||
4
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0004_convert_category_source.png
|
convert_category
|
[
{
"answer": "Pie chart",
"content": "edit",
"question": "What is the chart type?"
},
{
"answer": "Proportion of Genomes Sequenced by Month",
"content": "edit",
"question": "What is the title of the chart?"
},
{
"answer": "15.0%",
"content": "maintain",
"question": "What is the percentage for January?"
},
{
"answer": "20.0%",
"content": "maintain",
"question": "What is the percentage for February?"
},
{
"answer": "18.0%",
"content": "maintain",
"question": "What is the percentage for March?"
},
{
"answer": "25.0%",
"content": "maintain",
"question": "What is the percentage for April?"
},
{
"answer": "22.0%",
"content": "maintain",
"question": "What is the percentage for May?"
}
] |
Edit instruction: Change the bar chart displaying monthly genomes sequenced into a pie chart showing the proportion of genomes sequenced by month, with percentage labels and distinct colors for each month. Source image description: Source image shows a bar chart of genomes sequenced by month: months along the x‑axis (e.g., January–May), counts on the y‑axis, one bar per month, gridlines/axes, a chart title, and colored bars (with or without a legend). No percentage breakdown is displayed. Edit explanation: Replace the bar chart with a pie chart. Compute each month’s proportion of the total genomes and use those percentages as slice sizes. Assign a distinct, high‑contrast color to each month. Add percentage labels (e.g., 1 decimal place) alongside the month names on or near the slices, using leader lines if needed. Update the title to emphasize proportion (e.g., “Proportion of Genomes Sequenced by Month”). Remove axes/gridlines and any bar‑specific elements; keep or add a legend only if labels can’t fit. Generated image description: Final image is a centered pie chart with five clearly differentiated slices for the months, sized by their computed proportions and colored uniquely. Each slice shows the month name and its percentage value, neatly placed for readability. The background is clean with no axes, and the title reads “Proportion of Genomes Sequenced by Month.” Overall appearance is balanced, with crisp labels and colors that integrate cohesively.
|
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|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/output_images/0004_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_hidream_e1/output_img/0004_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_qwenedit/output_img/0004_convert_category_edited.png
|
Processed_N/A
|
[
{
"Correction": true,
"answer": "Pie chart",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Productive Revenue by Month",
"ground_truth_answer": "Proportion of Genomes Sequenced by Month",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "57.4%",
"ground_truth_answer": "15.0%",
"question": "What is the percentage for January?"
},
{
"Correction": false,
"answer": "15.4%",
"ground_truth_answer": "20.0%",
"question": "What is the percentage for February?"
},
{
"Correction": false,
"answer": "15.4%",
"ground_truth_answer": "18.0%",
"question": "What is the percentage for March?"
},
{
"Correction": false,
"answer": "I’m not able to read the month labels clearly in the chart image, so I can’t tell which slice corresponds to April. If you can provide the legend or clarify which color represents April, I can give you the percentage shown.",
"ground_truth_answer": "25.0%",
"question": "What is the percentage for April?"
},
{
"Correction": false,
"answer": "15.4%",
"ground_truth_answer": "22.0%",
"question": "What is the percentage for May?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Proportion of Genomes Sequenced by Month",
"ground_truth_answer": "Proportion of Genomes Sequenced by Month",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "January is 20%.",
"ground_truth_answer": "15.0%",
"question": "What is the percentage for January?"
},
{
"Correction": false,
"answer": "February is 25%.",
"ground_truth_answer": "20.0%",
"question": "What is the percentage for February?"
},
{
"Correction": true,
"answer": "March is 20%.",
"ground_truth_answer": "18.0%",
"question": "What is the percentage for March?"
},
{
"Correction": false,
"answer": "2.0%",
"ground_truth_answer": "25.0%",
"question": "What is the percentage for April?"
},
{
"Correction": false,
"answer": "May is 18%.",
"ground_truth_answer": "22.0%",
"question": "What is the percentage for May?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "The title reads: “Productivity Decrease/Increased by Month.”",
"ground_truth_answer": "Proportion of Genomes Sequenced by Month",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not sure—this chart’s labels are too distorted to read which slice corresponds to January. Could you share a clearer image or the data values for each month?",
"ground_truth_answer": "15.0%",
"question": "What is the percentage for January?"
},
{
"Correction": false,
"answer": "I’m not able to read the month labels clearly in this pie chart—the text is garbled. If you can provide the data or a clearer image, I can tell you February’s percentage.",
"ground_truth_answer": "20.0%",
"question": "What is the percentage for February?"
},
{
"Correction": false,
"answer": "I’m not able to read the month labels or match them to the slices in this image—the text is too distorted. If you can provide a clearer image or list which color corresponds to March, I can give you the percentage shown for that slice.",
"ground_truth_answer": "18.0%",
"question": "What is the percentage for March?"
},
{
"Correction": false,
"answer": "I can’t confidently read the labels in this chart image. Could you provide a clearer image or the data/legend for each month so I can identify April’s percentage?",
"ground_truth_answer": "25.0%",
"question": "What is the percentage for April?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact labels from this chart image. Could you provide a clearer image or list the legend/labels for each month? Then I can tell you May’s percentage.",
"ground_truth_answer": "22.0%",
"question": "What is the percentage for May?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Proportion of Comorses Sawmoved by Month",
"ground_truth_answer": "Proportion of Genomes Sequenced by Month",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I can’t read the exact labels from this image. Could you share the data or a clearer image with the month labels visible?",
"ground_truth_answer": "15.0%",
"question": "What is the percentage for January?"
},
{
"Correction": false,
"answer": "25%",
"ground_truth_answer": "20.0%",
"question": "What is the percentage for February?"
},
{
"Correction": false,
"answer": "I can’t read the exact labels from this image. Could you provide the legend or values for each month, or upload a higher‑resolution image?",
"ground_truth_answer": "18.0%",
"question": "What is the percentage for March?"
},
{
"Correction": false,
"answer": "I’m not able to clearly read the labels from this image. Could you provide the legend or the data values for each month, or upload a higher-resolution image?",
"ground_truth_answer": "25.0%",
"question": "What is the percentage for April?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact labels from this image. Could you provide the legend or the data values for each month, or a higher-resolution image?",
"ground_truth_answer": "22.0%",
"question": "What is the percentage for May?"
}
] |
||||||
5
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0005_convert_category_source.png
|
convert_category
|
[
{
"answer": "Bar chart",
"content": "edit",
"question": "What type of chart is used?"
},
{
"answer": "Values per Sector",
"content": "edit",
"question": "What is the title of the chart?"
},
{
"answer": "68",
"content": "maintain",
"question": "What is the value for Retail?"
},
{
"answer": "35",
"content": "maintain",
"question": "What is the value for Manufacturing?"
},
{
"answer": "50",
"content": "maintain",
"question": "What is the value for Tourism?"
},
{
"answer": "70",
"content": "maintain",
"question": "What is the value for Mining?"
},
{
"answer": "55",
"content": "maintain",
"question": "What is the value for Construction?"
}
] |
Edit instruction: Remove the dotted line connecting points, change the square markers to vertical bars representing values, and add numerical labels on top of each bar. Source image description: A chart titled 'Values per Sector' shows five categories on the x‑axis (Retail, Manufacturing, Tourism, Mining, Construction) with vertical purple bars of approximate heights 68, 35, 50, 70, and 55. Light gridlines on a gray background; y‑axis up to about 70. Each bar already has a numeric value label placed near its top. Edit explanation: Edits requested: remove any dotted line connecting points (none visible—confirm no residual line layers); replace square point markers with vertical bars (already bars—ensure no markers remain); add value labels above each bar (already present—refine position/size for clarity: center horizontally, 4–8 px above bar tops, legible dark text). Keep title, axes, and spacing intact. Generated image description: Final image: a clean bar chart with five solid semi‑transparent purple vertical bars for Retail, Manufacturing, Tourism, Mining, and Construction at heights 68, 35, 50, 70, and 55. No connecting line or point markers. Crisp numeric labels centered just above each bar, consistent font and size, unobstructed by the bars. Original title, ticks, and subtle gridlines remain unchanged.
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/target_images/0005_convert_category_target.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/output_images/0005_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_hidream_e1/output_img/0005_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_qwenedit/output_img/0005_convert_category_edited.png
|
Processed_N/A
|
[
{
"Correction": true,
"answer": "A vertical bar chart (column chart).",
"ground_truth_answer": "Bar chart",
"question": "What type of chart is used?"
},
{
"Correction": true,
"answer": "Values per Sector",
"ground_truth_answer": "Values per Sector",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "28",
"ground_truth_answer": "68",
"question": "What is the value for Retail?"
},
{
"Correction": false,
"answer": "54",
"ground_truth_answer": "35",
"question": "What is the value for Manufacturing?"
},
{
"Correction": false,
"answer": "93",
"ground_truth_answer": "50",
"question": "What is the value for Tourism?"
},
{
"Correction": false,
"answer": "6",
"ground_truth_answer": "70",
"question": "What is the value for Mining?"
},
{
"Correction": false,
"answer": "63",
"ground_truth_answer": "55",
"question": "What is the value for Construction?"
}
] |
[
{
"Correction": false,
"answer": "A grouped bar chart (side‑by‑side bar graph).",
"ground_truth_answer": "Bar chart",
"question": "What type of chart is used?"
},
{
"Correction": true,
"answer": "Values per Sector",
"ground_truth_answer": "Values per Sector",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "60",
"ground_truth_answer": "68",
"question": "What is the value for Retail?"
},
{
"Correction": false,
"answer": "55",
"ground_truth_answer": "35",
"question": "What is the value for Manufacturing?"
},
{
"Correction": false,
"answer": "35",
"ground_truth_answer": "50",
"question": "What is the value for Tourism?"
},
{
"Correction": false,
"answer": "36",
"ground_truth_answer": "70",
"question": "What is the value for Mining?"
},
{
"Correction": false,
"answer": "45",
"ground_truth_answer": "55",
"question": "What is the value for Construction?"
}
] |
[
{
"Correction": false,
"answer": "Horizontal bar chart.",
"ground_truth_answer": "Bar chart",
"question": "What type of chart is used?"
},
{
"Correction": true,
"answer": "Values per Sector",
"ground_truth_answer": "Values per Sector",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear value for Retail from this chart—the bars aren’t labeled with numbers. Could you share the data or a version with axis labels or data labels?",
"ground_truth_answer": "68",
"question": "What is the value for Retail?"
},
{
"Correction": false,
"answer": "I’m not able to read a specific value for Manufacturing from this chart—the x-axis values aren’t shown clearly. If you can share the data or a higher-resolution image with axis labels, I can help extract the exact value.",
"ground_truth_answer": "35",
"question": "What is the value for Manufacturing?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact value from this chart—the bars aren’t labeled. Could you provide the data or a version with axis labels or annotations?",
"ground_truth_answer": "50",
"question": "What is the value for Tourism?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact value for Mining from this image—the value labels or axis numbers aren’t visible. If you can share the underlying data or a version with clearer axis labels, I can give you the exact number.",
"ground_truth_answer": "70",
"question": "What is the value for Mining?"
},
{
"Correction": false,
"answer": "I can’t read a specific value from this chart—the x-axis labels are visible but the bars don’t show distinct lengths or numbers. Could you provide the underlying data or a clearer chart?",
"ground_truth_answer": "55",
"question": "What is the value for Construction?"
}
] |
[
{
"Correction": true,
"answer": "Bar chart (vertical bar chart).",
"ground_truth_answer": "Bar chart",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "Richness For Ocean Populous",
"ground_truth_answer": "Values per Sector",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "40",
"ground_truth_answer": "68",
"question": "What is the value for Retail?"
},
{
"Correction": false,
"answer": "40",
"ground_truth_answer": "35",
"question": "What is the value for Manufacturing?"
},
{
"Correction": false,
"answer": "90",
"ground_truth_answer": "50",
"question": "What is the value for Tourism?"
},
{
"Correction": false,
"answer": "Mining is 50.",
"ground_truth_answer": "70",
"question": "What is the value for Mining?"
},
{
"Correction": false,
"answer": "70",
"ground_truth_answer": "55",
"question": "What is the value for Construction?"
}
] |
||||||
6
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0006_convert_category_source.png
|
convert_category
|
[
{
"answer": "Pie chart",
"content": "edit",
"question": "What is the chart type?"
},
{
"answer": "Average Value Distribution of Philosophical Trends",
"content": "edit",
"question": "What is the title of the chart?"
},
{
"answer": "52.6%",
"content": "maintain",
"question": "What is the percentage for the label \"High\"?"
},
{
"answer": "31.6%",
"content": "maintain",
"question": "What is the percentage for the label \"Close\"?"
},
{
"answer": "15.8%",
"content": "maintain",
"question": "What is the percentage for the label \"Open\"?"
}
] |
Edit instruction: Change plot type to pie chart, calculate average of 'Open', 'Close', and 'High', adjust aspect ratio to 'equal', and update the title. Source image description: A pie chart fills the canvas with three wedges labeled Open, Close, and High. Wedges are colored light blue, blue, and light green with percentage annotations (~15.8%, 31.6%, 52.6%). Title reads 'Average Value Distribution of Philosophical Trends'. White background, sans-serif font, circular appearance. Edit explanation: Ensure the visualization is a pie chart built from the column-wise means of 'Open', 'Close', and 'High'. Replace any existing data mapping with those three averages, label slices accordingly, and display percent labels. Force equal aspect ratio (e.g., ax.axis('equal')) so the pie is perfectly circular. Update the title to explicitly reflect the metric, e.g., 'Average of Open, Close, and High'. Generated image description: Final image shows a perfectly circular pie chart with three slices sized by the computed means of Open, Close, and High, each labeled and annotated with percentages. The color scheme remains similar for visual continuity, fonts and background unchanged. The new, clear title at the top reads 'Average of Open, Close, and High', aligning the content with the data shown.
|
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|
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|
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|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_qwenedit/output_img/0006_convert_category_edited.png
|
Processed_N/A
|
[
{
"Correction": true,
"answer": "Pie chart",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Average Value Distribution of Each Subplot for Octobai",
"ground_truth_answer": "Average Value Distribution of Philosophical Trends",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "10%",
"ground_truth_answer": "52.6%",
"question": "What is the percentage for the label \"High\"?"
},
{
"Correction": false,
"answer": "41%",
"ground_truth_answer": "31.6%",
"question": "What is the percentage for the label \"Close\"?"
},
{
"Correction": true,
"answer": "16%",
"ground_truth_answer": "15.8%",
"question": "What is the percentage for the label \"Open\"?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "N/A – I can’t read the chart title clearly from the image. If you can provide the text, I’ll confirm it.",
"ground_truth_answer": "Average Value Distribution of Philosophical Trends",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "31.6%",
"ground_truth_answer": "52.6%",
"question": "What is the percentage for the label \"High\"?"
},
{
"Correction": true,
"answer": "31.6%",
"ground_truth_answer": "31.6%",
"question": "What is the percentage for the label \"Close\"?"
},
{
"Correction": false,
"answer": "31.6%",
"ground_truth_answer": "15.8%",
"question": "What is the percentage for the label \"Open\"?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Overall Investment Distribution of Investors by Risk Tolerance",
"ground_truth_answer": "Average Value Distribution of Philosophical Trends",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "37.5%",
"ground_truth_answer": "52.6%",
"question": "What is the percentage for the label \"High\"?"
},
{
"Correction": false,
"answer": "37.5%",
"ground_truth_answer": "31.6%",
"question": "What is the percentage for the label \"Close\"?"
},
{
"Correction": false,
"answer": "12.6%",
"ground_truth_answer": "15.8%",
"question": "What is the percentage for the label \"Open\"?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Average Annual Growth of Philosophical Trends",
"ground_truth_answer": "Average Value Distribution of Philosophical Trends",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "15%",
"ground_truth_answer": "52.6%",
"question": "What is the percentage for the label \"High\"?"
},
{
"Correction": false,
"answer": "21.3%",
"ground_truth_answer": "31.6%",
"question": "What is the percentage for the label \"Close\"?"
},
{
"Correction": false,
"answer": "I can’t read a clear “Open” label in the chart, so I’m not sure of its percentage. If you can provide the legend or the data values used to make the chart, I can calculate it.",
"ground_truth_answer": "15.8%",
"question": "What is the percentage for the label \"Open\"?"
}
] |
||||||
7
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0007_convert_category_source.png
|
convert_category
|
[
{
"answer": "Pie Chart",
"content": "edit",
"question": "What is the chart type?"
},
{
"answer": "Distribution of Values by Category",
"content": "edit",
"question": "What is the title of the chart?"
},
{
"answer": "26.7%",
"content": "maintain",
"question": "What is the percentage for Real Estate?"
},
{
"answer": "16.7%",
"content": "maintain",
"question": "What is the percentage for Gaming?"
},
{
"answer": "33.3%",
"content": "maintain",
"question": "What is the percentage for Finance?"
},
{
"answer": "23.3%",
"content": "maintain",
"question": "What is the percentage for Supply Chain?"
}
] |
Edit instruction: Transform the scatter plot with a legend into a pie chart with sections labeled and percentage values shown, explode the first slice slightly, and centralize the title above the chart. Source image description: The image shows a pie chart titled “Distribution of Values by Category,” centered at the top. Four slices: Finance (~33.3%, mint, slightly exploded), Supply Chain (~23.3%, off‑white), Gaming (~16.7%, golden), Real Estate (~26.7%, dark red). Each wedge displays a percentage inside, with category labels placed near the corresponding slice; the chart has a subtle shadow. Edit explanation: Requested edit: convert a scatter plot with legend into a labeled pie chart with percentages, explode the first slice slightly, and center the title. Current image already satisfies all requirements—pie chart present, first slice exploded, on-wedge percentages shown, labels present, and centered title. No legend exists to remove. No further edits needed. Generated image description: Final image remains a clean pie chart with Finance, Supply Chain, Gaming, and Real Estate slices; the Finance wedge is subtly offset; each slice shows its percentage; labels are readable; the title is centrally aligned above the chart.
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/target_images/0007_convert_category_target.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/output_images/0007_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_hidream_e1/output_img/0007_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_qwenedit/output_img/0007_convert_category_edited.png
|
Processed_N/A
|
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie Chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Distribution of Values in Category",
"ground_truth_answer": "Distribution of Values by Category",
"question": "What is the title of the chart?"
},
{
"Correction": true,
"answer": "30%",
"ground_truth_answer": "26.7%",
"question": "What is the percentage for Real Estate?"
},
{
"Correction": false,
"answer": "30%",
"ground_truth_answer": "16.7%",
"question": "What is the percentage for Gaming?"
},
{
"Correction": true,
"answer": "30%",
"ground_truth_answer": "33.3%",
"question": "What is the percentage for Finance?"
},
{
"Correction": true,
"answer": "25%",
"ground_truth_answer": "23.3%",
"question": "What is the percentage for Supply Chain?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie Chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Distribution of Values By Category",
"ground_truth_answer": "Distribution of Values by Category",
"question": "What is the title of the chart?"
},
{
"Correction": true,
"answer": "26.3%",
"ground_truth_answer": "26.7%",
"question": "What is the percentage for Real Estate?"
},
{
"Correction": false,
"answer": "Gaming is 23.9%.",
"ground_truth_answer": "16.7%",
"question": "What is the percentage for Gaming?"
},
{
"Correction": false,
"answer": "I’m not sure—this chart’s labels are distorted and I can’t clearly see a slice labeled “Finance.” If you can provide the raw values or a clearer image, I can calculate the percentage.",
"ground_truth_answer": "33.3%",
"question": "What is the percentage for Finance?"
},
{
"Correction": false,
"answer": "26.3%",
"ground_truth_answer": "23.3%",
"question": "What is the percentage for Supply Chain?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie Chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Distribution of Operations Category",
"ground_truth_answer": "Distribution of Values by Category",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "19.3%",
"ground_truth_answer": "26.7%",
"question": "What is the percentage for Real Estate?"
},
{
"Correction": false,
"answer": "28.3%",
"ground_truth_answer": "16.7%",
"question": "What is the percentage for Gaming?"
},
{
"Correction": false,
"answer": "28.3%",
"ground_truth_answer": "33.3%",
"question": "What is the percentage for Finance?"
},
{
"Correction": false,
"answer": "12.7%",
"ground_truth_answer": "23.3%",
"question": "What is the percentage for Supply Chain?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie Chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Distribution of Values by Category",
"ground_truth_answer": "Distribution of Values by Category",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "18.9%",
"ground_truth_answer": "26.7%",
"question": "What is the percentage for Real Estate?"
},
{
"Correction": false,
"answer": "34.3%",
"ground_truth_answer": "16.7%",
"question": "What is the percentage for Gaming?"
},
{
"Correction": false,
"answer": "18.9%",
"ground_truth_answer": "33.3%",
"question": "What is the percentage for Finance?"
},
{
"Correction": false,
"answer": "16.7%",
"ground_truth_answer": "23.3%",
"question": "What is the percentage for Supply Chain?"
}
] |
||||||
8
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0008_convert_category_source.png
|
convert_category
|
[
{
"answer": "Bar Chart",
"content": "edit",
"question": "What is the chart type?"
},
{
"answer": "Data Distribution by Sector",
"content": "edit",
"question": "What is the title of the chart?"
},
{
"answer": "Online Retail: 450",
"content": "maintain",
"question": "What is the label and value for Online Retail?"
},
{
"answer": "Healthcare: 200",
"content": "maintain",
"question": "What is the label and value for Healthcare?"
},
{
"answer": "E-commerce: 400",
"content": "maintain",
"question": "What is the label and value for E-commerce?"
},
{
"answer": "Finance: 1000",
"content": "maintain",
"question": "What is the label and value for Finance?"
},
{
"answer": "IT Services: 150",
"content": "maintain",
"question": "What is the label and value for IT Services?"
},
{
"answer": "Values",
"content": "maintain",
"question": "What is the Y-axis label?"
},
{
"answer": "Online Retail, Healthcare, E-commerce, Finance, IT Services",
"content": "maintain",
"question": "What are the X-axis labels?"
}
] |
Edit instruction: Replace the pie chart with a bar chart, add y-axis label "Values", enable gridlines, and rotate the x-axis labels for better readability. Source image description: The image shows a vertical bar chart titled “Data Distribution by Sector.” Five categories on the x-axis: Online Retail, Healthcare, E-commerce, Finance, IT Services. Bar heights roughly 500, 250, 400, 1000, 200 respectively, with varied colors. The y-axis already reads “Values.” Light gray gridlines are visible, and x-axis labels are slightly angled. Edit explanation: No pie chart is present, so keep the bar chart structure and data. Confirm/retain the y-axis label as “Values.” Ensure gridlines are enabled (light gray, preferably dashed for clarity). Increase the rotation of x-axis category labels to about 45° to improve readability. Generated image description: The final image remains a clean bar chart with the same five bars and values, now featuring clearly visible light gray dashed gridlines, the y-axis labeled “Values,” and x-axis labels rotated to ~45° for easier reading, all consistent with the original title and layout.
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/target_images/0008_convert_category_target.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/output_images/0008_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_hidream_e1/output_img/0008_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_qwenedit/output_img/0008_convert_category_edited.png
|
Processed_N/A
|
[
{
"Correction": true,
"answer": "Bar chart (vertical).",
"ground_truth_answer": "Bar Chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Data Distribution by Category",
"ground_truth_answer": "Data Distribution by Sector",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "Label: Online Retail\nValue: 45",
"ground_truth_answer": "Online Retail: 450",
"question": "What is the label and value for Online Retail?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact labels and values from this chart image. If you can provide the data or a clearer image, I can identify the label and value for Healthcare.",
"ground_truth_answer": "Healthcare: 200",
"question": "What is the label and value for Healthcare?"
},
{
"Correction": false,
"answer": "Label: E-commerce\nValue: 4",
"ground_truth_answer": "E-commerce: 400",
"question": "What is the label and value for E-commerce?"
},
{
"Correction": false,
"answer": "I’m not sure from the image. The labels are hard to read, so I can’t confidently identify the bar for Finance or its value. If you can provide the underlying data or a clearer image, I’ll extract it.",
"ground_truth_answer": "Finance: 1000",
"question": "What is the label and value for Finance?"
},
{
"Correction": false,
"answer": "Label: Services \nValue: 45",
"ground_truth_answer": "IT Services: 150",
"question": "What is the label and value for IT Services?"
},
{
"Correction": true,
"answer": "Values",
"ground_truth_answer": "Values",
"question": "What is the Y-axis label?"
},
{
"Correction": false,
"answer": "The x-axis labels are:\n- Tech\n- Service\n- Sales\n- Support",
"ground_truth_answer": "Online Retail, Healthcare, E-commerce, Finance, IT Services",
"question": "What are the X-axis labels?"
}
] |
[
{
"Correction": false,
"answer": "Pie chart.",
"ground_truth_answer": "Bar Chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Data Distribution by Sector",
"ground_truth_answer": "Data Distribution by Sector",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "Online Retail — 21.0%",
"ground_truth_answer": "Online Retail: 450",
"question": "What is the label and value for Online Retail?"
},
{
"Correction": false,
"answer": "Label: Healthcare \nValue: 10.5%",
"ground_truth_answer": "Healthcare: 200",
"question": "What is the label and value for Healthcare?"
},
{
"Correction": false,
"answer": "E-commerce — 41.0%",
"ground_truth_answer": "E-commerce: 400",
"question": "What is the label and value for E-commerce?"
},
{
"Correction": false,
"answer": "Finance — 41.0%",
"ground_truth_answer": "Finance: 1000",
"question": "What is the label and value for Finance?"
},
{
"Correction": false,
"answer": "Label: IT Services\nValue: 12.5%",
"ground_truth_answer": "IT Services: 150",
"question": "What is the label and value for IT Services?"
},
{
"Correction": false,
"answer": "There is no Y-axis label—this is a pie chart, which doesn’t use axes.",
"ground_truth_answer": "Values",
"question": "What is the Y-axis label?"
},
{
"Correction": false,
"answer": "There aren’t any—this is a pie chart, so it has no X-axis labels.",
"ground_truth_answer": "Online Retail, Healthcare, E-commerce, Finance, IT Services",
"question": "What are the X-axis labels?"
}
] |
[
{
"Correction": false,
"answer": "Pie chart.",
"ground_truth_answer": "Bar Chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Data Migration Projects",
"ground_truth_answer": "Data Distribution by Sector",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "Label: Online Retail\nValue: 25%",
"ground_truth_answer": "Online Retail: 450",
"question": "What is the label and value for Online Retail?"
},
{
"Correction": false,
"answer": "Healthcare — 25%",
"ground_truth_answer": "Healthcare: 200",
"question": "What is the label and value for Healthcare?"
},
{
"Correction": false,
"answer": "E-commerce — 10%",
"ground_truth_answer": "E-commerce: 400",
"question": "What is the label and value for E-commerce?"
},
{
"Correction": false,
"answer": "Label: Finance\nValue: 35%",
"ground_truth_answer": "Finance: 1000",
"question": "What is the label and value for Finance?"
},
{
"Correction": false,
"answer": "IT Services — 20%",
"ground_truth_answer": "IT Services: 150",
"question": "What is the label and value for IT Services?"
},
{
"Correction": false,
"answer": "There is no Y-axis label (pie charts don’t have Y-axes).",
"ground_truth_answer": "Values",
"question": "What is the Y-axis label?"
},
{
"Correction": false,
"answer": "There is no X-axis. This is a pie chart, which doesn’t use X-axis labels.",
"ground_truth_answer": "Online Retail, Healthcare, E-commerce, Finance, IT Services",
"question": "What are the X-axis labels?"
}
] |
[
{
"Correction": false,
"answer": "Pie chart.",
"ground_truth_answer": "Bar Chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Lina acquisition by Sector",
"ground_truth_answer": "Data Distribution by Sector",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "Online Retail — 20.2%",
"ground_truth_answer": "Online Retail: 450",
"question": "What is the label and value for Online Retail?"
},
{
"Correction": false,
"answer": "Healthcare — 10.3%",
"ground_truth_answer": "Healthcare: 200",
"question": "What is the label and value for Healthcare?"
},
{
"Correction": false,
"answer": "Label: E-commerce\nValue: 20%",
"ground_truth_answer": "E-commerce: 400",
"question": "What is the label and value for E-commerce?"
},
{
"Correction": false,
"answer": "Label: Finance\nValue: 40.6%",
"ground_truth_answer": "Finance: 1000",
"question": "What is the label and value for Finance?"
},
{
"Correction": false,
"answer": "IT Services — 8.5%",
"ground_truth_answer": "IT Services: 150",
"question": "What is the label and value for IT Services?"
},
{
"Correction": false,
"answer": "There is no Y-axis label; it’s a pie chart.",
"ground_truth_answer": "Values",
"question": "What is the Y-axis label?"
},
{
"Correction": false,
"answer": "There is no X-axis in this chart. It’s a pie chart, so it doesn’t use X-axis labels.",
"ground_truth_answer": "Online Retail, Healthcare, E-commerce, Finance, IT Services",
"question": "What are the X-axis labels?"
}
] |
||||||
9
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0009_convert_category_source.png
|
convert_category
|
[
{
"answer": "Bar Chart",
"content": "edit",
"question": "What is the chart type?"
},
{
"answer": "Geospatial Tool Usage",
"content": "edit",
"question": "What is the title of the chart?"
},
{
"answer": "Tools",
"content": "maintain",
"question": "What is the label for the X-axis?"
},
{
"answer": "Usage (Number of Users)",
"content": "maintain",
"question": "What is the label for the Y-axis?"
},
{
"answer": "6000 users",
"content": "maintain",
"question": "How many users use ArcGIS?"
},
{
"answer": "3000 users",
"content": "maintain",
"question": "How many users use QGIS?"
},
{
"answer": "2000 users",
"content": "maintain",
"question": "How many users use Google Earth?"
},
{
"answer": "5000 users",
"content": "maintain",
"question": "How many users use MapInfo?"
},
{
"answer": "1000 users",
"content": "maintain",
"question": "How many users use OpenStreetMap?"
}
] |
Edit instruction: Change the pie chart to a bar chart with labeled axes, gridlines, rotated x-axis labels, and a larger figure size. Source image description: The source image already shows a vertical bar chart titled 'Geospatial Tool Usage'. Five categories on the x-axis: ArcGIS, QGIS, GoogleEarth, MapInfo, OpenStreetMap. Approximate values: 6000, 2000, 4000, 4500, 2400. Axes are labeled ('Tools' and 'Usage (Number of Users)'), horizontal gridlines are visible, x-tick labels are angled, and the figure size is moderately large with a white background. Edit explanation: Requested change is to convert a pie chart to a bar chart with labeled axes, gridlines, rotated x-axis labels, and a larger figure size. As the source is already a bar chart, keep the bar representation and: (1) verify/standardize axis labels exactly as specified; (2) enable clear light-gray y-axis gridlines; (3) rotate x-axis labels to 45° and right-align; (4) increase overall figure size (e.g., ~1400×900 px or 14×9 in); (5) preserve data order and values and keep the existing title. Generated image description: The final image is a larger, cleaner bar chart. Vertical bars for the five tools remain with the same heights/ordering. Axes are clearly labeled ('Tools' on x, 'Usage (Number of Users)' on y). Light-gray horizontal gridlines improve readability. X-axis labels are rotated 45° and right-aligned to prevent overlap. Title 'Geospatial Tool Usage' stays centered at the top. Overall spacing and margins scale up with the larger figure for improved legibility.
|
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|
Processed_N/A
|
[
{
"Correction": true,
"answer": "Bar chart (vertical bar graph).",
"ground_truth_answer": "Bar Chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Gestural Tool Usage",
"ground_truth_answer": "Geospatial Tool Usage",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "Social Media Platforms",
"ground_truth_answer": "Tools",
"question": "What is the label for the X-axis?"
},
{
"Correction": false,
"answer": "Usage (in million)",
"ground_truth_answer": "Usage (Number of Users)",
"question": "What is the label for the Y-axis?"
},
{
"Correction": false,
"answer": "100 users.",
"ground_truth_answer": "6000 users",
"question": "How many users use ArcGIS?"
},
{
"Correction": false,
"answer": "About 350 thousand users.",
"ground_truth_answer": "3000 users",
"question": "How many users use QGIS?"
},
{
"Correction": false,
"answer": "About 700 million users.",
"ground_truth_answer": "2000 users",
"question": "How many users use Google Earth?"
},
{
"Correction": false,
"answer": "About 150 million users.",
"ground_truth_answer": "5000 users",
"question": "How many users use MapInfo?"
},
{
"Correction": false,
"answer": "About 500 million users (from the bar labeled “OpenStreetMap”).",
"ground_truth_answer": "1000 users",
"question": "How many users use OpenStreetMap?"
}
] |
[
{
"Correction": true,
"answer": "Bar chart (vertical).",
"ground_truth_answer": "Bar Chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Geospatial Analysis Usage",
"ground_truth_answer": "Geospatial Tool Usage",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "Websites",
"ground_truth_answer": "Tools",
"question": "What is the label for the X-axis?"
},
{
"Correction": true,
"answer": "Number of users",
"ground_truth_answer": "Usage (Number of Users)",
"question": "What is the label for the Y-axis?"
},
{
"Correction": true,
"answer": "6,000 users.",
"ground_truth_answer": "6000 users",
"question": "How many users use ArcGIS?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear number from this chart, as the labels and axis text are distorted. If you can provide the numeric value or a clearer image, I can confirm it.",
"ground_truth_answer": "3000 users",
"question": "How many users use QGIS?"
},
{
"Correction": false,
"answer": "600 million users.",
"ground_truth_answer": "2000 users",
"question": "How many users use Google Earth?"
},
{
"Correction": true,
"answer": "About 5,000 users.",
"ground_truth_answer": "5000 users",
"question": "How many users use MapInfo?"
},
{
"Correction": false,
"answer": "About 1,900 users.",
"ground_truth_answer": "1000 users",
"question": "How many users use OpenStreetMap?"
}
] |
[
{
"Correction": true,
"answer": "Grouped bar chart (side-by-side bar chart).",
"ground_truth_answer": "Bar Chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Geospatial Tool Usage",
"ground_truth_answer": "Geospatial Tool Usage",
"question": "What is the title of the chart?"
},
{
"Correction": true,
"answer": "Tools",
"ground_truth_answer": "Tools",
"question": "What is the label for the X-axis?"
},
{
"Correction": false,
"answer": "Percentage (%)",
"ground_truth_answer": "Usage (Number of Users)",
"question": "What is the label for the Y-axis?"
},
{
"Correction": false,
"answer": "40 users.",
"ground_truth_answer": "6000 users",
"question": "How many users use ArcGIS?"
},
{
"Correction": false,
"answer": "60 users.",
"ground_truth_answer": "3000 users",
"question": "How many users use QGIS?"
},
{
"Correction": false,
"answer": "From the chart, Google Earth has 90 users.",
"ground_truth_answer": "2000 users",
"question": "How many users use Google Earth?"
},
{
"Correction": false,
"answer": "60 users.",
"ground_truth_answer": "5000 users",
"question": "How many users use MapInfo?"
},
{
"Correction": false,
"answer": "I’m not able to determine the number of OpenStreetMap users from this image. It shows a bar chart titled “Geospatial Tool Usage,” but there’s no axis label indicating “OpenStreetMap” or a user count.\n\nIf you’re asking generally: OpenStreetMap has millions of registered contributors. As of 2025, there are over 10 million registered users, with tens of thousands active monthly. If you need a precise current figure, I can look it up if you enable web browsing or share the latest source.",
"ground_truth_answer": "1000 users",
"question": "How many users use OpenStreetMap?"
}
] |
[
{
"Correction": true,
"answer": "Bar chart (vertical bar chart).",
"ground_truth_answer": "Bar Chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Geospatial Tool Usage",
"ground_truth_answer": "Geospatial Tool Usage",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "Tools (Geospatial)",
"ground_truth_answer": "Tools",
"question": "What is the label for the X-axis?"
},
{
"Correction": false,
"answer": "Number of Users (in thousands)",
"ground_truth_answer": "Usage (Number of Users)",
"question": "What is the label for the Y-axis?"
},
{
"Correction": false,
"answer": "25 users.",
"ground_truth_answer": "6000 users",
"question": "How many users use ArcGIS?"
},
{
"Correction": false,
"answer": "1,000 users.",
"ground_truth_answer": "3000 users",
"question": "How many users use QGIS?"
},
{
"Correction": false,
"answer": "10 users.",
"ground_truth_answer": "2000 users",
"question": "How many users use Google Earth?"
},
{
"Correction": false,
"answer": "I can’t tell from this chart. The labels and tick values aren’t readable, so I can’t see the number for MapInfo. If you can share the data or a clearer image, I’ll extract it.",
"ground_truth_answer": "5000 users",
"question": "How many users use MapInfo?"
},
{
"Correction": false,
"answer": "About 2 million.\n\nThe bar chart labeled “Geospatial Tool Usage” shows three tools; the bar for “OpenStreetMap” corresponds to 2 million users.",
"ground_truth_answer": "1000 users",
"question": "How many users use OpenStreetMap?"
}
] |
||||||
10
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0010_convert_category_source.png
|
convert_category
|
[
{
"answer": "Pie chart",
"content": "edit",
"question": "What is the chart type?"
},
{
"answer": "Proportion of Patients by Month",
"content": "edit",
"question": "What is the title of the chart?"
},
{
"answer": "13.2%",
"content": "maintain",
"question": "What is the percentage for January?"
},
{
"answer": "14.3%",
"content": "maintain",
"question": "What is the percentage for February?"
},
{
"answer": "16.5%",
"content": "maintain",
"question": "What is the percentage for March?"
},
{
"answer": "17.6%",
"content": "maintain",
"question": "What is the percentage for April?"
},
{
"answer": "18.7%",
"content": "maintain",
"question": "What is the percentage for May?"
},
{
"answer": "19.8%",
"content": "maintain",
"question": "What is the percentage for June?"
}
] |
Edit instruction: Replace the bar chart and line plots with a pie chart that shows the proportion of "Number of Patients" across months, and update the title accordingly. Source image description: A single pie chart fills the frame. Six slices represent January–June, each labeled around the perimeter with percentages on the slices: Jan 13.2%, Feb 14.3%, Mar 16.5%, Apr 17.6%, May 18.7%, Jun 19.8%. Soft pastel colors differentiate slices. Title at top reads “Proportion of Patients by Month.” No axes or gridlines. Edit explanation: Edits required to satisfy the instruction: none—the figure already is a pie chart of monthly patient proportions with an appropriate title. If validating/updating: ensure slices are sized by Number of Patients [Jan–Jun] = [120, 130, 150, 160, 170, 180]; keep percentage annotations; confirm title exactly reads “Proportion of Patients by Month.” Remove any residual bar/line elements (axes, legends specific to those). Generated image description: Final image: a clean, centered pie chart with six colored slices sized to the patient counts (13.2–19.8% shares from Jan to Jun). Each slice is labeled with its month and percentage, no axes or gridlines remain. The top title reads “Proportion of Patients by Month,” visually harmonized with the existing color palette.
|
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|
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|
Processed_N/A
|
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Proportion of Patients by Month",
"ground_truth_answer": "Proportion of Patients by Month",
"question": "What is the title of the chart?"
},
{
"Correction": true,
"answer": "13.3%",
"ground_truth_answer": "13.2%",
"question": "What is the percentage for January?"
},
{
"Correction": false,
"answer": "1.2%",
"ground_truth_answer": "14.3%",
"question": "What is the percentage for February?"
},
{
"Correction": false,
"answer": "18.7%",
"ground_truth_answer": "16.5%",
"question": "What is the percentage for March?"
},
{
"Correction": false,
"answer": "April is 18.7%.",
"ground_truth_answer": "17.6%",
"question": "What is the percentage for April?"
},
{
"Correction": true,
"answer": "May: 18.7%",
"ground_truth_answer": "18.7%",
"question": "What is the percentage for May?"
},
{
"Correction": true,
"answer": "June is 18.7%.",
"ground_truth_answer": "19.8%",
"question": "What is the percentage for June?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Weemoriterion to Aortion of Pordicerse Paxoss by hoqtio",
"ground_truth_answer": "Proportion of Patients by Month",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "19.7%",
"ground_truth_answer": "13.2%",
"question": "What is the percentage for January?"
},
{
"Correction": true,
"answer": "14.0%",
"ground_truth_answer": "14.3%",
"question": "What is the percentage for February?"
},
{
"Correction": true,
"answer": "17.5%",
"ground_truth_answer": "16.5%",
"question": "What is the percentage for March?"
},
{
"Correction": false,
"answer": "April is 14.0%.",
"ground_truth_answer": "17.6%",
"question": "What is the percentage for April?"
},
{
"Correction": true,
"answer": "17.8%",
"ground_truth_answer": "18.7%",
"question": "What is the percentage for May?"
},
{
"Correction": false,
"answer": "35.6%",
"ground_truth_answer": "19.8%",
"question": "What is the percentage for June?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Applications of Business Economics in India",
"ground_truth_answer": "Proportion of Patients by Month",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I can’t tell which slice corresponds to January because the chart doesn’t include a legend or labels for the months. If you provide the color or label for January, I can read the percentage for that slice.",
"ground_truth_answer": "13.2%",
"question": "What is the percentage for January?"
},
{
"Correction": false,
"answer": "I’m not able to tell which slice corresponds to February from this chart because there’s no legend or labels for the months—only percentages. Could you indicate which color represents February or provide the legend?",
"ground_truth_answer": "14.3%",
"question": "What is the percentage for February?"
},
{
"Correction": false,
"answer": "I’m not able to tell which slice corresponds to March from this chart, since the labels aren’t readable. If you can provide the legend or clarify which color represents March, I can give you the percentage.",
"ground_truth_answer": "16.5%",
"question": "What is the percentage for March?"
},
{
"Correction": false,
"answer": "I’m not able to tell from this image—there’s no visible legend or month labels. If you share which color corresponds to April (or provide the legend), I can read the percentage.",
"ground_truth_answer": "17.6%",
"question": "What is the percentage for April?"
},
{
"Correction": true,
"answer": "19.3%",
"ground_truth_answer": "18.7%",
"question": "What is the percentage for May?"
},
{
"Correction": false,
"answer": "I can’t determine which slice corresponds to June from this image because the legend or labels for months aren’t visible. If you can provide the color or position of June’s slice (or a version with the legend), I’ll read the percentage for you.",
"ground_truth_answer": "19.8%",
"question": "What is the percentage for June?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Proportion of Patients by Month",
"ground_truth_answer": "Proportion of Patients by Month",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "16.9%",
"ground_truth_answer": "13.2%",
"question": "What is the percentage for January?"
},
{
"Correction": false,
"answer": "6.1%",
"ground_truth_answer": "14.3%",
"question": "What is the percentage for February?"
},
{
"Correction": false,
"answer": "6.1%",
"ground_truth_answer": "16.5%",
"question": "What is the percentage for March?"
},
{
"Correction": false,
"answer": "6.1%",
"ground_truth_answer": "17.6%",
"question": "What is the percentage for April?"
},
{
"Correction": false,
"answer": "6.1%",
"ground_truth_answer": "18.7%",
"question": "What is the percentage for May?"
},
{
"Correction": false,
"answer": "6.1%",
"ground_truth_answer": "19.8%",
"question": "What is the percentage for June?"
}
] |
||||||
11
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0011_convert_category_source.png
|
convert_category
|
[
{
"answer": "Pie Chart",
"content": "edit",
"question": "What type of chart is used?"
},
{
"answer": "Tech Adoption Trends by Category",
"content": "edit",
"question": "What is the title of the chart?"
},
{
"answer": "18.8%",
"content": "maintain",
"question": "What percentage is attributed to IoT Integration?"
},
{
"answer": "20.1%",
"content": "maintain",
"question": "What percentage is attributed to Cybersecurity?"
},
{
"answer": "20.8%",
"content": "maintain",
"question": "What percentage is attributed to Big Data Analytics?"
},
{
"answer": "22.7%",
"content": "maintain",
"question": "What percentage is attributed to Cloud Computing?"
},
{
"answer": "17.5%",
"content": "maintain",
"question": "What percentage is attributed to Enterprise Mobility?"
}
] |
Edit instruction: Change the vertical bars into segments of a pie chart with percentage labels displayed on each segment. Source image description: White-background chart titled 'Tech Adoption Trends by Category.' Centered pie chart with five colored slices and percentages already shown inside: Cloud Computing (navy, 22.7%), Big Data Analytics (mint, 20.8%), Cybersecurity (orange, 20.1%), IoT Integration (beige, 18.8%), Enterprise Mobility (maroon, 17.5%). Category names are placed around the pie; no axes or grid. Edit explanation: The instruction asks to convert vertical bars into pie segments with percentage labels, but the image already is a pie chart. Minimal edits: verify each slice has a clear percentage label; standardize label font (black, medium, centered in wedge); nudge labels for optimal centering; optionally add thin leader lines from outside category names to their wedges; keep existing colors and title; remove any residual bar-chart artifacts (none present). Generated image description: Final image shows the same title and color mapping, with a clean, balanced pie chart. Each of the five wedges displays a crisp, centered percentage in high-contrast text. Category names sit outside the circle with short leader lines pointing to their respective slices. No axes or bar elements appear, resulting in a clear, publication-ready pie chart.
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|
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|
Processed_N/A
|
[
{
"Correction": true,
"answer": "Pie chart",
"ground_truth_answer": "Pie Chart",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "Adoption of Learning Trends Among Adult Learners",
"ground_truth_answer": "Tech Adoption Trends by Category",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "20.8%",
"ground_truth_answer": "18.8%",
"question": "What percentage is attributed to IoT Integration?"
},
{
"Correction": false,
"answer": "25.7%",
"ground_truth_answer": "20.1%",
"question": "What percentage is attributed to Cybersecurity?"
},
{
"Correction": false,
"answer": "25.7%",
"ground_truth_answer": "20.8%",
"question": "What percentage is attributed to Big Data Analytics?"
},
{
"Correction": false,
"answer": "25.7%",
"ground_truth_answer": "22.7%",
"question": "What percentage is attributed to Cloud Computing?"
},
{
"Correction": false,
"answer": "25.7%",
"ground_truth_answer": "17.5%",
"question": "What percentage is attributed to Enterprise Mobility?"
}
] |
[
{
"Correction": true,
"answer": "A pie chart.",
"ground_truth_answer": "Pie Chart",
"question": "What type of chart is used?"
},
{
"Correction": true,
"answer": "Tech Adoption Trends by Category",
"ground_truth_answer": "Tech Adoption Trends by Category",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "28.8%",
"ground_truth_answer": "18.8%",
"question": "What percentage is attributed to IoT Integration?"
},
{
"Correction": false,
"answer": "22.7%",
"ground_truth_answer": "20.1%",
"question": "What percentage is attributed to Cybersecurity?"
},
{
"Correction": false,
"answer": "16.7%",
"ground_truth_answer": "20.8%",
"question": "What percentage is attributed to Big Data Analytics?"
},
{
"Correction": false,
"answer": "12.7%",
"ground_truth_answer": "22.7%",
"question": "What percentage is attributed to Cloud Computing?"
},
{
"Correction": false,
"answer": "23%",
"ground_truth_answer": "17.5%",
"question": "What percentage is attributed to Enterprise Mobility?"
}
] |
[
{
"Correction": true,
"answer": "A pie chart.",
"ground_truth_answer": "Pie Chart",
"question": "What type of chart is used?"
},
{
"Correction": true,
"answer": "Tech Adoption Trends by Category",
"ground_truth_answer": "Tech Adoption Trends by Category",
"question": "What is the title of the chart?"
},
{
"Correction": true,
"answer": "20%",
"ground_truth_answer": "18.8%",
"question": "What percentage is attributed to IoT Integration?"
},
{
"Correction": false,
"answer": "Cybersecurity is 15%.",
"ground_truth_answer": "20.1%",
"question": "What percentage is attributed to Cybersecurity?"
},
{
"Correction": false,
"answer": "17.5%",
"ground_truth_answer": "20.8%",
"question": "What percentage is attributed to Big Data Analytics?"
},
{
"Correction": true,
"answer": "20%",
"ground_truth_answer": "22.7%",
"question": "What percentage is attributed to Cloud Computing?"
},
{
"Correction": false,
"answer": "12%",
"ground_truth_answer": "17.5%",
"question": "What percentage is attributed to Enterprise Mobility?"
}
] |
[
{
"Correction": true,
"answer": "A pie chart.",
"ground_truth_answer": "Pie Chart",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "Adoption of AI Solutions by Category",
"ground_truth_answer": "Tech Adoption Trends by Category",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "26.7%",
"ground_truth_answer": "18.8%",
"question": "What percentage is attributed to IoT Integration?"
},
{
"Correction": true,
"answer": "20%",
"ground_truth_answer": "20.1%",
"question": "What percentage is attributed to Cybersecurity?"
},
{
"Correction": true,
"answer": "20.4%",
"ground_truth_answer": "20.8%",
"question": "What percentage is attributed to Big Data Analytics?"
},
{
"Correction": false,
"answer": "19.3%",
"ground_truth_answer": "22.7%",
"question": "What percentage is attributed to Cloud Computing?"
},
{
"Correction": false,
"answer": "10.3%",
"ground_truth_answer": "17.5%",
"question": "What percentage is attributed to Enterprise Mobility?"
}
] |
||||||
12
|
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|
convert_category
|
[
{
"answer": "Bar Chart",
"content": "edit",
"question": "What type of chart is used?"
},
{
"answer": "Quantum Research Areas",
"content": "edit",
"question": "What is the title of the chart?"
},
{
"answer": "Importance Level",
"content": "maintain",
"question": "What does the Y-axis represent?"
},
{
"answer": "70",
"content": "maintain",
"question": "What is the value for Quantum Algorithms?"
},
{
"answer": "60",
"content": "maintain",
"question": "What is the value for Quantum Hardware?"
},
{
"answer": "50",
"content": "maintain",
"question": "What is the value for Applications in Chemistry?"
},
{
"answer": "90",
"content": "maintain",
"question": "What is the value for Quantum Cryptography?"
}
] |
Edit instruction: Transform the pie chart into a bar chart by aligning categories on a horizontal axis with importance levels on a vertical axis, adding axis labels, annotating each bar with its corresponding value, and resizing the figure for balance. Source image description: The source image already shows a vertical bar chart titled 'Quantum Research Areas.' Four colored bars represent categories: Quantum Algorithms (~70), Quantum Hardware (~60), Applications in Chemistry (~50), and Quantum Cryptography (~90). The y‑axis is labeled 'Importance Level' (0–100). Numeric value labels appear above each bar. The x‑axis has long category names that look slightly crowded due to a compact figure width. Edit explanation: Chart-type conversion not required (already a bar chart). Implement polish per instruction: add an explicit x‑axis label 'Categories'; keep 'Importance Level' as the y‑axis label; standardize and retain value annotations, positioning them a few pixels above bar tops with consistent font and integer formatting; increase canvas width/height (e.g., ~900×500 px) to balance composition; add left/right margins and rotate x‑tick labels ~15° to prevent overlap; ensure uniform bar width and spacing and keep the existing title. Generated image description: The final image is a wider, balanced column bar chart with categories aligned along the horizontal axis labeled 'Categories' and a vertical axis labeled 'Importance Level' from 0 to 100. Bars for Quantum Algorithms, Quantum Hardware, Applications in Chemistry, and Quantum Cryptography rise to 70, 60, 50, and 90 respectively, each annotated cleanly above the bar with its value. Labels are readable without overlap, spacing is even, and the original title remains centered.
|
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|
Processed_N/A
|
[
{
"Correction": false,
"answer": "Stacked bar chart.",
"ground_truth_answer": "Bar Chart",
"question": "What type of chart is used?"
},
{
"Correction": true,
"answer": "Quantum Research Areas",
"ground_truth_answer": "Quantum Research Areas",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not sure—this image is too distorted to read the axes. If you can share a clearer version or describe the chart, I can help interpret it.",
"ground_truth_answer": "Importance Level",
"question": "What does the Y-axis represent?"
},
{
"Correction": false,
"answer": "I’m not able to read the value for “Quantum Algorithms” from this image—the chart is too distorted/low resolution. If you can share a clearer image or the data source, I can extract the exact value.",
"ground_truth_answer": "70",
"question": "What is the value for Quantum Algorithms?"
},
{
"Correction": false,
"answer": "I’m not able to read the value from this image as it’s too distorted/blurry. Could you share a clearer image or the data labels? If you have the numbers, paste them and I’ll identify the value for Quantum Hardware.",
"ground_truth_answer": "60",
"question": "What is the value for Quantum Hardware?"
},
{
"Correction": false,
"answer": "I’m not able to read the value from the chart due to low image quality. Could you upload a clearer image or provide the data labels?",
"ground_truth_answer": "50",
"question": "What is the value for Applications in Chemistry?"
},
{
"Correction": false,
"answer": "I’m not able to read the value for Quantum Cryptography from this image—the chart is too distorted/blurry. If you can share a clearer image or the data labels, I can extract the value.",
"ground_truth_answer": "90",
"question": "What is the value for Quantum Cryptography?"
}
] |
[
{
"Correction": true,
"answer": "A grouped (clustered) bar chart.",
"ground_truth_answer": "Bar Chart",
"question": "What type of chart is used?"
},
{
"Correction": true,
"answer": "Quantum Research Areas",
"ground_truth_answer": "Quantum Research Areas",
"question": "What is the title of the chart?"
},
{
"Correction": true,
"answer": "Importance Level",
"ground_truth_answer": "Importance Level",
"question": "What does the Y-axis represent?"
},
{
"Correction": true,
"answer": "70",
"ground_truth_answer": "70",
"question": "What is the value for Quantum Algorithms?"
},
{
"Correction": false,
"answer": "70",
"ground_truth_answer": "60",
"question": "What is the value for Quantum Hardware?"
},
{
"Correction": false,
"answer": "65",
"ground_truth_answer": "50",
"question": "What is the value for Applications in Chemistry?"
},
{
"Correction": false,
"answer": "70",
"ground_truth_answer": "90",
"question": "What is the value for Quantum Cryptography?"
}
] |
[
{
"Correction": true,
"answer": "Bar chart (vertical).",
"ground_truth_answer": "Bar Chart",
"question": "What type of chart is used?"
},
{
"Correction": true,
"answer": "Quantum Research Areas",
"ground_truth_answer": "Quantum Research Areas",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "Number of publications.",
"ground_truth_answer": "Importance Level",
"question": "What does the Y-axis represent?"
},
{
"Correction": false,
"answer": "60",
"ground_truth_answer": "70",
"question": "What is the value for Quantum Algorithms?"
},
{
"Correction": false,
"answer": "50",
"ground_truth_answer": "60",
"question": "What is the value for Quantum Hardware?"
},
{
"Correction": true,
"answer": "60",
"ground_truth_answer": "50",
"question": "What is the value for Applications in Chemistry?"
},
{
"Correction": false,
"answer": "60",
"ground_truth_answer": "90",
"question": "What is the value for Quantum Cryptography?"
}
] |
[
{
"Correction": true,
"answer": "Bar chart (a grouped bar chart).",
"ground_truth_answer": "Bar Chart",
"question": "What type of chart is used?"
},
{
"Correction": true,
"answer": "Quantum Research Areas",
"ground_truth_answer": "Quantum Research Areas",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "It shows the number of publications.",
"ground_truth_answer": "Importance Level",
"question": "What does the Y-axis represent?"
},
{
"Correction": false,
"answer": "60",
"ground_truth_answer": "70",
"question": "What is the value for Quantum Algorithms?"
},
{
"Correction": true,
"answer": "60",
"ground_truth_answer": "60",
"question": "What is the value for Quantum Hardware?"
},
{
"Correction": false,
"answer": "30",
"ground_truth_answer": "50",
"question": "What is the value for Applications in Chemistry?"
},
{
"Correction": false,
"answer": "30",
"ground_truth_answer": "90",
"question": "What is the value for Quantum Cryptography?"
}
] |
||||||
13
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|
convert_category
|
[
{
"answer": "Bar charts",
"content": "edit",
"question": "What type of chart is used?"
},
{
"answer": "10",
"content": "maintain",
"question": "What is the value for Weather in Sub-chart 1 - Data Set 1?"
},
{
"answer": "40",
"content": "maintain",
"question": "What is the value for Pollution in Sub-chart 1 - Data Set 1?"
},
{
"answer": "50",
"content": "maintain",
"question": "What is the value for Energy in Sub-chart 1 - Data Set 1?"
},
{
"answer": "80",
"content": "maintain",
"question": "What is the value for Transport in Sub-chart 1 - Data Set 1?"
},
{
"answer": "50",
"content": "maintain",
"question": "What is the value for Waste in Sub-chart 1 - Data Set 1?"
},
{
"answer": "30",
"content": "maintain",
"question": "What is the value for Weather in Sub-chart 2 - Data Set 2?"
},
{
"answer": "50",
"content": "maintain",
"question": "What is the value for Pollution in Sub-chart 2 - Data Set 2?"
},
{
"answer": "30",
"content": "maintain",
"question": "What is the value for Energy in Sub-chart 2 - Data Set 2?"
},
{
"answer": "70",
"content": "maintain",
"question": "What is the value for Transport in Sub-chart 2 - Data Set 2?"
},
{
"answer": "40",
"content": "maintain",
"question": "What is the value for Waste in Sub-chart 2 - Data Set 2?"
},
{
"answer": "10",
"content": "maintain",
"question": "What is the value for Weather in Sub-chart 3 - Data Set 3?"
},
{
"answer": "50",
"content": "maintain",
"question": "What is the value for Pollution in Sub-chart 3 - Data Set 3?"
},
{
"answer": "40",
"content": "maintain",
"question": "What is the value for Energy in Sub-chart 3 - Data Set 3?"
},
{
"answer": "60",
"content": "maintain",
"question": "What is the value for Transport in Sub-chart 3 - Data Set 3?"
},
{
"answer": "30",
"content": "maintain",
"question": "What is the value for Waste in Sub-chart 3 - Data Set 3?"
}
] |
Edit instruction: Convert the donut charts into bar charts representing the same data categories and values, and add a y-axis label "Values" to each bar chart. Source image description: Three side‑by‑side donut (ring) charts titled Data Set 1, Data Set 2, and Data Set 3. Each donut visualizes the same five categories—Weather, Pollution, Energy, Transport, Waste—using consistent distinct colors. Category names are indicated via labels/legend around the rings. There are no axes or y‑axis labels (as is typical for donut charts). Edit explanation: Replace each donut with a vertical bar chart. Keep the category order Weather, Pollution, Energy, Transport, Waste along the x‑axis. Map each donut slice’s exact value to the corresponding bar height (preserve the data). Reuse the same colors for category identity. Add a y‑axis title reading “Values” on every subplot. Retain the existing chart titles and remove any donut‑specific legends if x‑tick labels suffice. Generated image description: The final image shows three aligned vertical bar charts labeled Data Set 1–3. Each chart has five colored bars (colors matching the original categories) ordered Weather→Waste. Bar heights exactly reflect the original donut values. The y‑axis on each subplot is visible with ticks and the label “Values.” Titles remain centered above each chart; the layout is clean and consistent, with no donut rings present.
|
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/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_hidream_e1/output_img/0013_convert_category_edited.png
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/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_qwenedit/output_img/0013_convert_category_edited.png
|
Processed_N/A
|
[
{
"Correction": true,
"answer": "Bar chart (vertical bars).",
"ground_truth_answer": "Bar charts",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "20",
"ground_truth_answer": "10",
"question": "What is the value for Weather in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "10",
"ground_truth_answer": "40",
"question": "What is the value for Pollution in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "30",
"ground_truth_answer": "50",
"question": "What is the value for Energy in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "The value for Transport in Sub-chart 1 - Data Set 1 is 30.",
"ground_truth_answer": "80",
"question": "What is the value for Transport in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "10",
"ground_truth_answer": "50",
"question": "What is the value for Waste in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "2",
"ground_truth_answer": "30",
"question": "What is the value for Weather in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "30",
"ground_truth_answer": "50",
"question": "What is the value for Pollution in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "25",
"ground_truth_answer": "30",
"question": "What is the value for Energy in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "10",
"ground_truth_answer": "70",
"question": "What is the value for Transport in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "5",
"ground_truth_answer": "40",
"question": "What is the value for Waste in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact value from this image. Could you provide a clearer or higher‑resolution version, or the underlying data values?",
"ground_truth_answer": "10",
"question": "What is the value for Weather in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "8",
"ground_truth_answer": "50",
"question": "What is the value for Pollution in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "10",
"ground_truth_answer": "40",
"question": "What is the value for Energy in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "20",
"ground_truth_answer": "60",
"question": "What is the value for Transport in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "5",
"ground_truth_answer": "30",
"question": "What is the value for Waste in Sub-chart 3 - Data Set 3?"
}
] |
[
{
"Correction": true,
"answer": "It shows bar charts (vertical bar graphs).",
"ground_truth_answer": "Bar charts",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "I’m not able to read the specific value from this image reliably. If you can share the underlying data or a higher‑resolution version, I can provide the exact value.",
"ground_truth_answer": "10",
"question": "What is the value for Weather in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "I can’t determine it from the image. The first sub-chart (Data Set 1) is a pie chart without labeled numeric values for categories like “Pollution,” so the exact value isn’t readable. If you can share the data values or a labeled version, I can provide the number.",
"ground_truth_answer": "40",
"question": "What is the value for Pollution in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "Energy in Sub-chart 1 – Data Set 1 is 40.",
"ground_truth_answer": "50",
"question": "What is the value for Energy in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "34",
"ground_truth_answer": "80",
"question": "What is the value for Transport in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "I can’t determine the exact value from this image. The numbers aren’t clearly readable. If you can provide the data values or a higher-resolution image, I can help extract it.",
"ground_truth_answer": "50",
"question": "What is the value for Waste in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "5",
"ground_truth_answer": "30",
"question": "What is the value for Weather in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "5",
"ground_truth_answer": "50",
"question": "What is the value for Pollution in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "60",
"ground_truth_answer": "30",
"question": "What is the value for Energy in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "50",
"ground_truth_answer": "70",
"question": "What is the value for Transport in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "8",
"ground_truth_answer": "40",
"question": "What is the value for Waste in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "I’m not able to determine the value for Weather in Sub‑chart 3 from this image. The labels and bars are too unclear to read accurately. If you can provide the raw values or a clearer image, I can help extract it.",
"ground_truth_answer": "10",
"question": "What is the value for Weather in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact value from this image. Could you provide the data values or a clearer chart?",
"ground_truth_answer": "50",
"question": "What is the value for Pollution in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact values from this image. Could you provide the data or a clearer chart for Sub-chart 3 (Data Set 3), specifically the Energy value?",
"ground_truth_answer": "40",
"question": "What is the value for Energy in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact value for Transport in Sub-chart 3 from this image. Could you provide the data values or a clearer chart?",
"ground_truth_answer": "60",
"question": "What is the value for Transport in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "I can’t read the exact numbers from this image. Could you provide the data values or a clearer view of Sub-chart 3 so I can identify the Waste value?",
"ground_truth_answer": "30",
"question": "What is the value for Waste in Sub-chart 3 - Data Set 3?"
}
] |
[
{
"Correction": false,
"answer": "Mekko chart (Marimekko chart)",
"ground_truth_answer": "Bar charts",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "I’m not able to determine that from the provided image. The chart doesn’t include labels or a scale for “Weather” in Sub-chart 1 – Data Set 1. If you can share the legend or the numeric mapping for the bars, I can read it.",
"ground_truth_answer": "10",
"question": "What is the value for Weather in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "I’m not able to determine the value from this image. The chart doesn’t include numeric labels or a clear scale, so I can’t read an exact value for “Pollution” in Sub‑chart 1 – Data Set 1. If you can provide the data values or a version with axis labels, I can help extract it.",
"ground_truth_answer": "40",
"question": "What is the value for Pollution in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "I’m not seeing labels or numeric scales in the image, so I can’t determine the specific value for Energy in Sub‑chart 1 – Data Set 1. If you can provide the legend/scale or a clearer chart with numbers, I can read it.",
"ground_truth_answer": "50",
"question": "What is the value for Energy in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "I’m not able to read the specific values from this image. Could you provide the legend or the numeric scale for the sub-charts?",
"ground_truth_answer": "80",
"question": "What is the value for Transport in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "I’m not able to read exact values from this image. Could you provide the legend or the numeric labels for Sub‑chart 1 – Data Set 1 so I can identify the Waste value?",
"ground_truth_answer": "50",
"question": "What is the value for Waste in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "I’m not able to determine the value from this image. Could you provide a clearer chart or the legend that maps bar heights/colors to values?",
"ground_truth_answer": "30",
"question": "What is the value for Weather in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact values from this image. Could you provide a clearer chart or the numerical labels/data behind “Sub-chart 2 – Data Set 2,” especially the value for “Pollution”?",
"ground_truth_answer": "50",
"question": "What is the value for Pollution in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "I’m not able to read numeric values from this chart image. Could you provide the legend or the numeric scale/labels for Sub‑chart 2 – Data Set 2 so I can determine the Energy value?",
"ground_truth_answer": "30",
"question": "What is the value for Energy in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "I’m not able to read specific numeric values from this abstract image. If you can provide the legend or the data values (or a clearer chart with axes/labels), I can identify the Transport value for Sub‑chart 2 – Data Set 2.",
"ground_truth_answer": "70",
"question": "What is the value for Transport in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "I’m not able to determine the numeric value for “Waste” from the provided image alone. Could you share the legend or the corresponding data values for Data Set 2, Sub‑chart 2?",
"ground_truth_answer": "40",
"question": "What is the value for Waste in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "Sunny",
"ground_truth_answer": "10",
"question": "What is the value for Weather in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "I’m not able to read any numeric values from this image. Could you provide the legend or the scale used for the bars, or the underlying data for Sub-chart 3 – Data Set 3?",
"ground_truth_answer": "50",
"question": "What is the value for Pollution in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "I’m not able to read numeric values from that chart image. Could you provide the legend or scale labels for Sub‑chart 3 – Data Set 3, or a clearer image with the numeric axis visible?",
"ground_truth_answer": "40",
"question": "What is the value for Energy in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "I’m not sure. The image doesn’t include labels or a legend that indicates which bar corresponds to “Transport” in Sub-chart 3 of Data Set 3. If you can provide the legend or clarify which bar (position/color) represents Transport, I can read off the value.",
"ground_truth_answer": "60",
"question": "What is the value for Transport in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "I’m not able to determine the exact value for Waste from the provided image. The chart doesn’t include numerical labels or a clear scale to read the value. If you can share the underlying data or a version with axis/labels, I can extract it.",
"ground_truth_answer": "30",
"question": "What is the value for Waste in Sub-chart 3 - Data Set 3?"
}
] |
[
{
"Correction": false,
"answer": "A donut chart (a ring-shaped pie chart).",
"ground_truth_answer": "Bar charts",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "140.3%",
"ground_truth_answer": "10",
"question": "What is the value for Weather in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact value for Pollution in Sub‑chart 1 – Data Set 1 from this image. Could you provide a clearer chart or the data table?",
"ground_truth_answer": "40",
"question": "What is the value for Pollution in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact values from this image. Could you provide a clearer version of Sub‑chart 1 or the data labels for Energy?",
"ground_truth_answer": "50",
"question": "What is the value for Energy in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact numbers from this image. Could you provide a clearer image or the data labels?",
"ground_truth_answer": "80",
"question": "What is the value for Transport in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear value for “Waste” in Sub‑chart 1 from this image. Could you provide a higher‑resolution image or the data labels?",
"ground_truth_answer": "50",
"question": "What is the value for Waste in Sub-chart 1 - Data Set 1?"
},
{
"Correction": true,
"answer": "28.4%",
"ground_truth_answer": "30",
"question": "What is the value for Weather in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact values from the provided image. Could you share the data values or a clearer chart for Sub‑chart 2, Data Set 2?",
"ground_truth_answer": "50",
"question": "What is the value for Pollution in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "I’m not able to read the precise values from this image. Could you provide the data labels or a clearer version of Sub-chart 2 – Data Set 2?",
"ground_truth_answer": "30",
"question": "What is the value for Energy in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "28.4%",
"ground_truth_answer": "70",
"question": "What is the value for Transport in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact value for “Waste” in Sub‑chart 2 from this image. Could you provide a clearer image or the underlying data labels?",
"ground_truth_answer": "40",
"question": "What is the value for Waste in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "140.3%",
"ground_truth_answer": "10",
"question": "What is the value for Weather in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "28.4%",
"ground_truth_answer": "50",
"question": "What is the value for Pollution in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "28.4%",
"ground_truth_answer": "40",
"question": "What is the value for Energy in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "140.3%",
"ground_truth_answer": "60",
"question": "What is the value for Transport in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "140.3%",
"ground_truth_answer": "30",
"question": "What is the value for Waste in Sub-chart 3 - Data Set 3?"
}
] |
||||||
14
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0014_convert_category_source.png
|
convert_category
|
[
{
"answer": "Pie chart",
"content": "edit",
"question": "What type of chart is used?"
},
{
"answer": "Industry Metrics Distribution",
"content": "edit",
"question": "What is the title of the chart?"
},
{
"answer": "19.1%",
"content": "maintain",
"question": "What percentage is allocated to Sports?"
},
{
"answer": "27.7%",
"content": "maintain",
"question": "What percentage is allocated to Entertainment?"
},
{
"answer": "27.7%",
"content": "maintain",
"question": "What percentage is allocated to Finance?"
},
{
"answer": "29.8%",
"content": "maintain",
"question": "What percentage is allocated to Technology?"
}
] |
Edit instruction: Replace the vertical bar chart with a circular pie chart, label slices with category names and percentage values, and adjust the title to "Industry Metrics Distribution". Source image description: A single figure containing a vertical bar chart: multiple colored bars representing categories (e.g., Technology, Finance, Entertainment, Sports) along the x-axis; a y-axis with numeric ticks; possible legend or direct bar labels; gridlines; and a centered top title. White/light background with generous margins. Edit explanation: Replace the entire bar-plot area with a centered circular pie chart. Sum bar values and compute each category’s percentage (value/sum*100). Draw one slice per category using distinct colors (reuse bar colors if present). Remove axes, ticks, and gridlines. Add labels for each slice with the category name and its percentage (NN.N%), positioning inside the slice where space allows and outside with leader lines if overlap occurs. Update the title text to exactly: Industry Metrics Distribution. Keep canvas size, background, and font styling consistent. Generated image description: The final image shows a clean, centered pie chart with four color-differentiated slices for Technology, Finance, Entertainment, and Sports. Each slice is clearly labeled with its category name and percentage, with leader lines used where necessary; percentages sum to 100%. No axes or gridlines are visible. The top title reads Industry Metrics Distribution in the original font weight and alignment, producing a balanced, presentation-ready chart.
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/target_images/0014_convert_category_target.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/output_images/0014_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_hidream_e1/output_img/0014_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_qwenedit/output_img/0014_convert_category_edited.png
|
Processed_N/A
|
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "Freelancers Revenue Distribution",
"ground_truth_answer": "Industry Metrics Distribution",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "26.07%",
"ground_truth_answer": "19.1%",
"question": "What percentage is allocated to Sports?"
},
{
"Correction": false,
"answer": "22%",
"ground_truth_answer": "27.7%",
"question": "What percentage is allocated to Entertainment?"
},
{
"Correction": false,
"answer": "18.35%",
"ground_truth_answer": "27.7%",
"question": "What percentage is allocated to Finance?"
},
{
"Correction": false,
"answer": "40.4%",
"ground_truth_answer": "29.8%",
"question": "What percentage is allocated to Technology?"
}
] |
[
{
"Correction": true,
"answer": "A pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What type of chart is used?"
},
{
"Correction": true,
"answer": "Industry Metrics Distribution",
"ground_truth_answer": "Industry Metrics Distribution",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "34%",
"ground_truth_answer": "19.1%",
"question": "What percentage is allocated to Sports?"
},
{
"Correction": false,
"answer": "Entertainment: 36.6%",
"ground_truth_answer": "27.7%",
"question": "What percentage is allocated to Entertainment?"
},
{
"Correction": false,
"answer": "6.0%",
"ground_truth_answer": "27.7%",
"question": "What percentage is allocated to Finance?"
},
{
"Correction": false,
"answer": "16%",
"ground_truth_answer": "29.8%",
"question": "What percentage is allocated to Technology?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "Industry Metric Distribution",
"ground_truth_answer": "Industry Metrics Distribution",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "Sports: 60%",
"ground_truth_answer": "19.1%",
"question": "What percentage is allocated to Sports?"
},
{
"Correction": false,
"answer": "12.3%",
"ground_truth_answer": "27.7%",
"question": "What percentage is allocated to Entertainment?"
},
{
"Correction": false,
"answer": "12.1%",
"ground_truth_answer": "27.7%",
"question": "What percentage is allocated to Finance?"
},
{
"Correction": true,
"answer": "27.8%",
"ground_truth_answer": "29.8%",
"question": "What percentage is allocated to Technology?"
}
] |
[
{
"Correction": true,
"answer": "A pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What type of chart is used?"
},
{
"Correction": true,
"answer": "Industry Metrics Distribution",
"ground_truth_answer": "Industry Metrics Distribution",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "41.0%",
"ground_truth_answer": "19.1%",
"question": "What percentage is allocated to Sports?"
},
{
"Correction": false,
"answer": "21.9%",
"ground_truth_answer": "27.7%",
"question": "What percentage is allocated to Entertainment?"
},
{
"Correction": false,
"answer": "21.9%",
"ground_truth_answer": "27.7%",
"question": "What percentage is allocated to Finance?"
},
{
"Correction": true,
"answer": "31.4%",
"ground_truth_answer": "29.8%",
"question": "What percentage is allocated to Technology?"
}
] |
||||||
15
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0015_convert_category_source.png
|
convert_category
|
[
{
"answer": "Pie chart",
"content": "edit",
"question": "What is the chart type?"
},
{
"answer": "Various Indicators",
"content": "edit",
"question": "What is the title of the chart?"
},
{
"answer": "22.7%",
"content": "maintain",
"question": "What is the percentage for Weather?"
},
{
"answer": "21.2%",
"content": "maintain",
"question": "What is the percentage for Industry?"
},
{
"answer": "18.2%",
"content": "maintain",
"question": "What is the percentage for Energy?"
},
{
"answer": "25.8%",
"content": "maintain",
"question": "What is the percentage for Population?"
},
{
"answer": "12.1%",
"content": "maintain",
"question": "What is the percentage for Finance?"
}
] |
Edit instruction: Remove horizontal bars and arrows, change to a pie chart with percentage display. Source image description: A clean pie chart titled 'Various Indicators' on a white background. Five colored slices: Population (~25.8%, magenta), Weather (~22.7%, dark teal), Industry (~21.2%, cyan), Energy (~18.2%, purple), Finance (~12.1%, violet). Percentages appear inside slices; category names are placed near the perimeter. No axes or legend; no bars or arrows visible. Edit explanation: Instruction asks to remove horizontal bars and arrows and convert to a pie chart with percentage display. The image already has no bars/arrows and is a pie chart. To fully comply, regenerate/ensure the chart remains a 5-slice pie with the same category proportions and keep percentage labels clearly visible (centered on each wedge, high-contrast text). Keep the title; suppress any axes/ticks (none present). Generated image description: Final image shows only a centered pie chart with five wedges sized to the given proportions. Each wedge has a readable percentage label inside; category names remain adjacent or in a small legend for clarity. Background stays white, title 'Various Indicators' remains. No horizontal bars, arrows, axes, or extraneous marks.
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/target_images/0015_convert_category_target.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/output_images/0015_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_hidream_e1/output_img/0015_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_qwenedit/output_img/0015_convert_category_edited.png
|
Processed_N/A
|
[
{
"Correction": true,
"answer": "Pie chart",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Various Indicators",
"ground_truth_answer": "Various Indicators",
"question": "What is the title of the chart?"
},
{
"Correction": true,
"answer": "24.7%",
"ground_truth_answer": "22.7%",
"question": "What is the percentage for Weather?"
},
{
"Correction": true,
"answer": "22.8%",
"ground_truth_answer": "21.2%",
"question": "What is the percentage for Industry?"
},
{
"Correction": false,
"answer": "22.8%",
"ground_truth_answer": "18.2%",
"question": "What is the percentage for Energy?"
},
{
"Correction": false,
"answer": "22.8%",
"ground_truth_answer": "25.8%",
"question": "What is the percentage for Population?"
},
{
"Correction": true,
"answer": "11.7%",
"ground_truth_answer": "12.1%",
"question": "What is the percentage for Finance?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Various Indicators",
"ground_truth_answer": "Various Indicators",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not sure—“Weather” isn’t visible on this chart. The slices shown are labeled something like “Tropical,” “Industry,” and two others, each around 21–36%. If you can provide the original data or a clearer image where “Weather” is labeled, I can give the exact percentage.",
"ground_truth_answer": "22.7%",
"question": "What is the percentage for Weather?"
},
{
"Correction": true,
"answer": "21.2%",
"ground_truth_answer": "21.2%",
"question": "What is the percentage for Industry?"
},
{
"Correction": false,
"answer": "I’m not sure from the image. The labels look distorted and I can’t clearly see the slice for “Energy.” Could you provide the data or a clearer chart?",
"ground_truth_answer": "18.2%",
"question": "What is the percentage for Energy?"
},
{
"Correction": false,
"answer": "21.9%",
"ground_truth_answer": "25.8%",
"question": "What is the percentage for Population?"
},
{
"Correction": false,
"answer": "21.9%",
"ground_truth_answer": "12.1%",
"question": "What is the percentage for Finance?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Various Indicators",
"ground_truth_answer": "Various Indicators",
"question": "What is the title of the chart?"
},
{
"Correction": true,
"answer": "24%",
"ground_truth_answer": "22.7%",
"question": "What is the percentage for Weather?"
},
{
"Correction": false,
"answer": "I can’t see “Industry” labeled in the pie chart. The visible slices are labeled Energy (52.5%), Weather (24.6%), and another Weather (22.9%). If Industry is supposed to be one of the slices, please share a version where it’s labeled or provide the raw percentages.",
"ground_truth_answer": "21.2%",
"question": "What is the percentage for Industry?"
},
{
"Correction": false,
"answer": "32.5%",
"ground_truth_answer": "18.2%",
"question": "What is the percentage for Energy?"
},
{
"Correction": true,
"answer": "25%",
"ground_truth_answer": "25.8%",
"question": "What is the percentage for Population?"
},
{
"Correction": false,
"answer": "I can’t see a “Finance” slice in this chart. The visible slices are labeled Energy and two Weather entries, with percentages around 12.5%, 8.9%, and 20.4%. If you have a version that includes Finance, please share it and I’ll read the percentage.",
"ground_truth_answer": "12.1%",
"question": "What is the percentage for Finance?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "I’m not sure—the title text at the top is too distorted to read clearly.",
"ground_truth_answer": "Various Indicators",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to read which slice corresponds to “Weather” from this pie chart—the labels aren’t clear. If you can provide the legend or the data values for each category, I can give you the exact percentage.",
"ground_truth_answer": "22.7%",
"question": "What is the percentage for Weather?"
},
{
"Correction": true,
"answer": "22.9%",
"ground_truth_answer": "21.2%",
"question": "What is the percentage for Industry?"
},
{
"Correction": false,
"answer": "22.0%",
"ground_truth_answer": "18.2%",
"question": "What is the percentage for Energy?"
},
{
"Correction": false,
"answer": "I’m not able to read the labels on this chart clearly enough to see which slice is “Population.” If you can provide the legend or indicate which color corresponds to Population, I can give you the percentage.",
"ground_truth_answer": "25.8%",
"question": "What is the percentage for Population?"
},
{
"Correction": false,
"answer": "I can’t read any category labels from this pie chart image, so I can’t tell which slice is Finance. If you can provide the legend or which color corresponds to Finance, I’ll give you the percentage.",
"ground_truth_answer": "12.1%",
"question": "What is the percentage for Finance?"
}
] |
||||||
16
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0016_convert_category_source.png
|
convert_category
|
[
{
"answer": "Pie chart",
"content": "edit",
"question": "What is the chart type?"
},
{
"answer": "Performance Metrics in Cognitive Radio Networks",
"content": "edit",
"question": "What is the title of the chart?"
},
{
"answer": "42.1%",
"content": "maintain",
"question": "What is the percentage for Network Capacity?"
},
{
"answer": "40.0%",
"content": "maintain",
"question": "What is the percentage for Spectrum Efficiency?"
},
{
"answer": "17.9%",
"content": "maintain",
"question": "What is the percentage for Latency?"
}
] |
Edit instruction: Change the chart type to a pie chart and include labels, percentage display, and starting angle while removing X and Y axes. Source image description: A clean pie chart titled “Performance Metrics in Cognitive Radio Networks.” Three wedges: NetworkCapacity (~42.1%, violet), SpectrumEfficiency (~40.0%, pink), and Latency (~17.9%, reddish). Percentage values are shown on the wedges; category labels sit around the chart. No X/Y axes or gridlines; white background. Edit explanation: Apply/confirm pie chart rendering for the same data. Explicitly set a starting angle (e.g., startangle = 140°). Enable percentage display on slices (e.g., autopct = '%.1f%%') and keep labels visible, positioned just outside wedges with clear alignment. Remove/suppress any X and Y axes, ticks, and spines. Preserve the existing title and consistent colors. Generated image description: The final image is a pie chart starting at 140°, showing three colored wedges with crisp percentage text inside each and category labels just outside their slices. There are no axes, ticks, or gridlines; only the title remains above the chart. Colors and proportions match the original data, producing a neat, uncluttered visualization.
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/target_images/0016_convert_category_target.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/output_images/0016_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_hidream_e1/output_img/0016_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_qwenedit/output_img/0016_convert_category_edited.png
|
Processed_N/A
|
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Cognitive Medium Radio Networks",
"ground_truth_answer": "Performance Metrics in Cognitive Radio Networks",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "20.1%",
"ground_truth_answer": "42.1%",
"question": "What is the percentage for Network Capacity?"
},
{
"Correction": false,
"answer": "53.8%",
"ground_truth_answer": "40.0%",
"question": "What is the percentage for Spectrum Efficiency?"
},
{
"Correction": false,
"answer": "13.0%",
"ground_truth_answer": "17.9%",
"question": "What is the percentage for Latency?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Performance Factors Leading to Resignation (simulated)",
"ground_truth_answer": "Performance Metrics in Cognitive Radio Networks",
"question": "What is the title of the chart?"
},
{
"Correction": true,
"answer": "40.0%",
"ground_truth_answer": "42.1%",
"question": "What is the percentage for Network Capacity?"
},
{
"Correction": false,
"answer": "20.1%",
"ground_truth_answer": "40.0%",
"question": "What is the percentage for Spectrum Efficiency?"
},
{
"Correction": false,
"answer": "40.0%",
"ground_truth_answer": "17.9%",
"question": "What is the percentage for Latency?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Performance Metrics in Cognitive Radio Networks",
"ground_truth_answer": "Performance Metrics in Cognitive Radio Networks",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "27.3%",
"ground_truth_answer": "42.1%",
"question": "What is the percentage for Network Capacity?"
},
{
"Correction": false,
"answer": "19.3%",
"ground_truth_answer": "40.0%",
"question": "What is the percentage for Spectrum Efficiency?"
},
{
"Correction": false,
"answer": "26.4%",
"ground_truth_answer": "17.9%",
"question": "What is the percentage for Latency?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Performance Metrics in Cognitive Environments",
"ground_truth_answer": "Performance Metrics in Cognitive Radio Networks",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "49.6%",
"ground_truth_answer": "42.1%",
"question": "What is the percentage for Network Capacity?"
},
{
"Correction": true,
"answer": "43.9%",
"ground_truth_answer": "40.0%",
"question": "What is the percentage for Spectrum Efficiency?"
},
{
"Correction": false,
"answer": "43.9%",
"ground_truth_answer": "17.9%",
"question": "What is the percentage for Latency?"
}
] |
||||||
17
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0017_convert_category_source.png
|
convert_category
|
[
{
"answer": "Pie Chart",
"content": "edit",
"question": "What is the chart type of Energy Optimization Metrics (Median)?"
},
{
"answer": "90.5%",
"content": "maintain",
"question": "What is the percentage for Energy Consumption in Energy Optimization Metrics (Median)?"
},
{
"answer": "2.0%",
"content": "maintain",
"question": "What is the percentage for Grid Stability in Energy Optimization Metrics (Median)?"
},
{
"answer": "1.8%",
"content": "maintain",
"question": "What is the percentage for Battery Storage in Energy Optimization Metrics (Median)?"
},
{
"answer": "0.3%",
"content": "maintain",
"question": "What is the percentage for Solar Efficiency in Energy Optimization Metrics (Median)?"
},
{
"answer": "Pie Chart",
"content": "edit",
"question": "What is the chart type of Energy Optimization Metrics (Q1)?"
},
{
"answer": "90.5%",
"content": "maintain",
"question": "What is the percentage for Energy Consumption in Energy Optimization Metrics (Q1)?"
},
{
"answer": "2.9%",
"content": "maintain",
"question": "What is the percentage for Grid Stability in Energy Optimization Metrics (Q1)?"
},
{
"answer": "6.0%",
"content": "maintain",
"question": "What is the percentage for Battery Storage in Energy Optimization Metrics (Q1)?"
},
{
"answer": "0.6%",
"content": "maintain",
"question": "What is the percentage for Solar Efficiency in Energy Optimization Metrics (Q1)?"
}
] |
Edit instruction: Change the bar plots to pie charts for displaying data composition with circular axes and percentage annotations. Source image description: Two side-by-side charts on white background titled “Energy Optimization Metrics (Median)” (left) and “Energy Optimization Metrics (Q1)” (right). Each is already a pie chart with large blue slice for Energy Consumption (~90.5%), orange Battery Storage (~6%), green Grid Stability (~2–3%), tiny slivers for Solar Efficiency (~0.3–0.4%) and Wind Speed (~0.1–0.3%). Category labels and small percentage values appear near/over wedges; no axes or grid; consistent color mapping across both subplots. Edit explanation: No bar plots are present; to fully meet the instruction, refine the pies: (a) add a thin circular outline/guide ring to act as a circular axis for each subplot; (b) standardize percentage annotations—center them inside wedges, uniform font size/weight, one decimal place; (c) reduce label clutter by moving category names to a legend while keeping percent values on wedges; (d) enforce equal aspect ratio and consistent slice start angle for both charts. Generated image description: Final image shows two clean, perfectly circular pie charts with the same proportions/colors as the source. Each pie has a subtle circular border (circular axis). Percentages are bold, centrally placed on their wedges with consistent formatting. Category names are in a compact legend, eliminating overlapping text. Titles remain unchanged; spacing and alignment are even across the two subplots.
|
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|
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|
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|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_qwenedit/output_img/0017_convert_category_edited.png
|
Processed_N/A
|
[
{
"Correction": true,
"answer": "Pie chart",
"ground_truth_answer": "Pie Chart",
"question": "What is the chart type of Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "20.0%",
"ground_truth_answer": "90.5%",
"question": "What is the percentage for Energy Consumption in Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "26.1%",
"ground_truth_answer": "2.0%",
"question": "What is the percentage for Grid Stability in Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "25%",
"ground_truth_answer": "1.8%",
"question": "What is the percentage for Battery Storage in Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "20%",
"ground_truth_answer": "0.3%",
"question": "What is the percentage for Solar Efficiency in Energy Optimization Metrics (Median)?"
},
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie Chart",
"question": "What is the chart type of Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "30.0%",
"ground_truth_answer": "90.5%",
"question": "What is the percentage for Energy Consumption in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "20.0%",
"ground_truth_answer": "2.9%",
"question": "What is the percentage for Grid Stability in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "10%",
"ground_truth_answer": "6.0%",
"question": "What is the percentage for Battery Storage in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "Solar Efficiency in Q1 is 33.3%.",
"ground_truth_answer": "0.6%",
"question": "What is the percentage for Solar Efficiency in Energy Optimization Metrics (Q1)?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie Chart",
"question": "What is the chart type of Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "20.5%",
"ground_truth_answer": "90.5%",
"question": "What is the percentage for Energy Consumption in Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "20.5%",
"ground_truth_answer": "2.0%",
"question": "What is the percentage for Grid Stability in Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "0.6%",
"ground_truth_answer": "1.8%",
"question": "What is the percentage for Battery Storage in Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "20.5%",
"ground_truth_answer": "0.3%",
"question": "What is the percentage for Solar Efficiency in Energy Optimization Metrics (Median)?"
},
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie Chart",
"question": "What is the chart type of Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "30.8%",
"ground_truth_answer": "90.5%",
"question": "What is the percentage for Energy Consumption in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "30.9%",
"ground_truth_answer": "2.9%",
"question": "What is the percentage for Grid Stability in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "0.1%",
"ground_truth_answer": "6.0%",
"question": "What is the percentage for Battery Storage in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "30.9%",
"ground_truth_answer": "0.6%",
"question": "What is the percentage for Solar Efficiency in Energy Optimization Metrics (Q1)?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart",
"ground_truth_answer": "Pie Chart",
"question": "What is the chart type of Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "23%",
"ground_truth_answer": "90.5%",
"question": "What is the percentage for Energy Consumption in Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "23%",
"ground_truth_answer": "2.0%",
"question": "What is the percentage for Grid Stability in Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "25%",
"ground_truth_answer": "1.8%",
"question": "What is the percentage for Battery Storage in Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "23%",
"ground_truth_answer": "0.3%",
"question": "What is the percentage for Solar Efficiency in Energy Optimization Metrics (Median)?"
},
{
"Correction": true,
"answer": "Pie chart",
"ground_truth_answer": "Pie Chart",
"question": "What is the chart type of Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "50%",
"ground_truth_answer": "90.5%",
"question": "What is the percentage for Energy Consumption in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "63%",
"ground_truth_answer": "2.9%",
"question": "What is the percentage for Grid Stability in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "16%",
"ground_truth_answer": "6.0%",
"question": "What is the percentage for Battery Storage in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "Solar Efficiency in Q1 is 50%.",
"ground_truth_answer": "0.6%",
"question": "What is the percentage for Solar Efficiency in Energy Optimization Metrics (Q1)?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart",
"ground_truth_answer": "Pie Chart",
"question": "What is the chart type of Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "10.5%",
"ground_truth_answer": "90.5%",
"question": "What is the percentage for Energy Consumption in Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "10.5%",
"ground_truth_answer": "2.0%",
"question": "What is the percentage for Grid Stability in Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "12.9%",
"ground_truth_answer": "1.8%",
"question": "What is the percentage for Battery Storage in Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "10.5%",
"ground_truth_answer": "0.3%",
"question": "What is the percentage for Solar Efficiency in Energy Optimization Metrics (Median)?"
},
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie Chart",
"question": "What is the chart type of Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "20.3%",
"ground_truth_answer": "90.5%",
"question": "What is the percentage for Energy Consumption in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "20.3%",
"ground_truth_answer": "2.9%",
"question": "What is the percentage for Grid Stability in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "8.9%",
"ground_truth_answer": "6.0%",
"question": "What is the percentage for Battery Storage in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "20.3%",
"ground_truth_answer": "0.6%",
"question": "What is the percentage for Solar Efficiency in Energy Optimization Metrics (Q1)?"
}
] |
||||||
18
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0018_convert_category_source.png
|
convert_category
|
[
{
"answer": "Pie chart",
"content": "edit",
"question": "What type of chart is used?"
},
{
"answer": "Proportions of Sustainable Transportation Planning Categories",
"content": "edit",
"question": "What is the title of the chart?"
},
{
"answer": "28.6%",
"content": "maintain",
"question": "What is the percentage for Public Transport?"
},
{
"answer": "14.3%",
"content": "maintain",
"question": "What is the percentage for Car Sharing?"
},
{
"answer": "21.4%",
"content": "maintain",
"question": "What is the percentage for Electric Vehicles?"
},
{
"answer": "19.0%",
"content": "maintain",
"question": "What is the percentage for Bicycling?"
},
{
"answer": "16.7%",
"content": "maintain",
"question": "What is the percentage for Walking?"
}
] |
Edit instruction: Replace the 3D scatter plot with a flat circular pie chart, showing the proportions of each category using different colored sections, each labeled with its name and percentage value, against a white background with a new title. Source image description: A single figure on a white canvas showing a flat, circular pie chart titled ‘Proportions of Sustainable Transportation Planning Categories’. Five wedges with distinct colors: Public Transport 28.6%, Electric Vehicles 21.4%, Walking 16.7%, Bicycling 19.0%, Car Sharing 14.3%. Category names are placed around the perimeter; percentage values appear inside wedges. No axes or gridlines. Edit explanation: Replace the existing chart area with a flat circular pie chart. Use the five categories with these proportions: Public Transport 28.6%, Electric Vehicles 21.4%, Walking 16.7%, Bicycling 19.0%, Car Sharing 14.3%. Assign contrasting colors to each wedge (can reuse current palette). Place category names outside each slice with short leader lines; keep percentage values centered inside slices in high-contrast type. Ensure the entire background is pure white and update the title to ‘Sustainable Transport Category Shares’. Remove any 3D elements, axes, or legends from the old plot. Generated image description: The final image is a clean white figure with a perfectly round, centered pie chart. Five colored slices appear in clockwise order starting at the top: Car Sharing (14.3%), Electric Vehicles (21.4%), Walking (16.7%), Bicycling (19.0%), Public Transport (28.6%). Each slice has its percentage text inside and its category name outside with leader lines, with balanced spacing to avoid overlap. A new top-centered title reads ‘Sustainable Transport Category Shares’; there are no axes, grids, or 3D effects.
|
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/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/output_images/0018_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_hidream_e1/output_img/0018_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_qwenedit/output_img/0018_convert_category_edited.png
|
Processed_N/A
|
[
{
"Correction": true,
"answer": "A pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What type of chart is used?"
},
{
"Correction": true,
"answer": "Sustainable Transport Category Shares",
"ground_truth_answer": "Proportions of Sustainable Transportation Planning Categories",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "19.4%",
"ground_truth_answer": "28.6%",
"question": "What is the percentage for Public Transport?"
},
{
"Correction": false,
"answer": "31.2%",
"ground_truth_answer": "14.3%",
"question": "What is the percentage for Car Sharing?"
},
{
"Correction": true,
"answer": "21.4%",
"ground_truth_answer": "21.4%",
"question": "What is the percentage for Electric Vehicles?"
},
{
"Correction": false,
"answer": "16.7%",
"ground_truth_answer": "19.0%",
"question": "What is the percentage for Bicycling?"
},
{
"Correction": true,
"answer": "16.7%",
"ground_truth_answer": "16.7%",
"question": "What is the percentage for Walking?"
}
] |
[
{
"Correction": true,
"answer": "A pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "Sustainable Transport Category Shares",
"ground_truth_answer": "Proportions of Sustainable Transportation Planning Categories",
"question": "What is the title of the chart?"
},
{
"Correction": true,
"answer": "26.3%",
"ground_truth_answer": "28.6%",
"question": "What is the percentage for Public Transport?"
},
{
"Correction": false,
"answer": "10.7%",
"ground_truth_answer": "14.3%",
"question": "What is the percentage for Car Sharing?"
},
{
"Correction": false,
"answer": "26.3%",
"ground_truth_answer": "21.4%",
"question": "What is the percentage for Electric Vehicles?"
},
{
"Correction": false,
"answer": "Bicycling is 25%.",
"ground_truth_answer": "19.0%",
"question": "What is the percentage for Bicycling?"
},
{
"Correction": false,
"answer": "Walking is 20.9%.",
"ground_truth_answer": "16.7%",
"question": "What is the percentage for Walking?"
}
] |
[
{
"Correction": true,
"answer": "A pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "Sustainable Transport Category Shares",
"ground_truth_answer": "Proportions of Sustainable Transportation Planning Categories",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "Public Transport: 25%",
"ground_truth_answer": "28.6%",
"question": "What is the percentage for Public Transport?"
},
{
"Correction": false,
"answer": "Car Sharing is 20%.",
"ground_truth_answer": "14.3%",
"question": "What is the percentage for Car Sharing?"
},
{
"Correction": false,
"answer": "18.9%",
"ground_truth_answer": "21.4%",
"question": "What is the percentage for Electric Vehicles?"
},
{
"Correction": true,
"answer": "18.9%",
"ground_truth_answer": "19.0%",
"question": "What is the percentage for Bicycling?"
},
{
"Correction": true,
"answer": "20%",
"ground_truth_answer": "16.7%",
"question": "What is the percentage for Walking?"
}
] |
[
{
"Correction": false,
"answer": "A 3D pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "3D Sustainable Transport Category Shares",
"ground_truth_answer": "Proportions of Sustainable Transportation Planning Categories",
"question": "What is the title of the chart?"
},
{
"Correction": true,
"answer": "30%",
"ground_truth_answer": "28.6%",
"question": "What is the percentage for Public Transport?"
},
{
"Correction": true,
"answer": "14.3%",
"ground_truth_answer": "14.3%",
"question": "What is the percentage for Car Sharing?"
},
{
"Correction": false,
"answer": "28.4%",
"ground_truth_answer": "21.4%",
"question": "What is the percentage for Electric Vehicles?"
},
{
"Correction": false,
"answer": "27.2%",
"ground_truth_answer": "19.0%",
"question": "What is the percentage for Bicycling?"
},
{
"Correction": true,
"answer": "16.7%",
"ground_truth_answer": "16.7%",
"question": "What is the percentage for Walking?"
}
] |
||||||
19
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0019_convert_category_source.png
|
convert_category
|
[
{
"answer": "Pie chart",
"content": "edit",
"question": "What is the chart type?"
},
{
"answer": "Distribution of Film Styles based on Median Scores",
"content": "edit",
"question": "What is the title of the chart?"
},
{
"answer": "30.3%",
"content": "maintain",
"question": "What is the percentage for the label \"Noir\"?"
},
{
"answer": "24.2%",
"content": "maintain",
"question": "What is the percentage for the label \"Surrealist\"?"
},
{
"answer": "25.3%",
"content": "maintain",
"question": "What is the percentage for the label \"Cyberpunk\"?"
},
{
"answer": "20.2%",
"content": "maintain",
"question": "What is the percentage for the label \"Avant-Garde\"?"
}
] |
Edit instruction: Change the area and line plot to a pie chart displaying the proportion of median scores with percentages using the `autopct` argument. Source image description: The image shows a clean pie chart titled “Distribution of Film Styles based on Median Scores.” It has four wedges with labels: Noir (~30.3%), Avant-Garde (~20.2%), Cyberpunk (~25.3%), and Surrealist (~24.2%). Percent values are placed on the slices, labels are outside, colors are distinct (blue, light blue, orange, peach), and there are no axes or gridlines. Edit explanation: No area or line elements are visible; the chart already matches the requested pie format with percentages. If refining to strictly meet the instruction: ensure percentages are rendered via autopct (e.g., '%.1f%%'), keep equal aspect ratio so the pie is circular, and adjust label/pct placement (pctdistance, labeldistance, startangle) to avoid overlaps and maximize readability. Generated image description: The final image remains a centered, circular pie chart with four colored wedges sized by median scores. Each slice shows its percentage via autopct and has a clear category label. The title stays at the top, there are no axes/ticks, and spacing is tuned so labels and percentages are legible without overlap.
|
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|
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|
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|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_qwenedit/output_img/0019_convert_category_edited.png
|
Processed_N/A
|
[
{
"Correction": true,
"answer": "Pie chart",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Distribution of Urbana: Flo: Ro’iem median scores",
"ground_truth_answer": "Distribution of Film Styles based on Median Scores",
"question": "What is the title of the chart?"
},
{
"Correction": true,
"answer": "30.5%",
"ground_truth_answer": "30.3%",
"question": "What is the percentage for the label \"Noir\"?"
},
{
"Correction": false,
"answer": "20.0%",
"ground_truth_answer": "24.2%",
"question": "What is the percentage for the label \"Surrealist\"?"
},
{
"Correction": false,
"answer": "I can’t read a “Cyberpunk” slice on this chart. The visible slices are labeled Noir (30.5%), Surrealism (20.0%), and two others that are partially cut off. If you can share a clearer image or the data, I can find the Cyberpunk percentage.",
"ground_truth_answer": "25.3%",
"question": "What is the percentage for the label \"Cyberpunk\"?"
},
{
"Correction": false,
"answer": "3.1%",
"ground_truth_answer": "20.2%",
"question": "What is the percentage for the label \"Avant-Garde\"?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Distribution of Film Styles based on Median Scores",
"ground_truth_answer": "Distribution of Film Styles based on Median Scores",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "25.3%",
"ground_truth_answer": "30.3%",
"question": "What is the percentage for the label \"Noir\"?"
},
{
"Correction": false,
"answer": "36.0%",
"ground_truth_answer": "24.2%",
"question": "What is the percentage for the label \"Surrealist\"?"
},
{
"Correction": true,
"answer": "24.2%",
"ground_truth_answer": "25.3%",
"question": "What is the percentage for the label \"Cyberpunk\"?"
},
{
"Correction": false,
"answer": "24.2%",
"ground_truth_answer": "20.2%",
"question": "What is the percentage for the label \"Avant-Garde\"?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Nofi snoos gti collies estates fumverfids",
"ground_truth_answer": "Distribution of Film Styles based on Median Scores",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "26.5%",
"ground_truth_answer": "30.3%",
"question": "What is the percentage for the label \"Noir\"?"
},
{
"Correction": false,
"answer": "28.2%",
"ground_truth_answer": "24.2%",
"question": "What is the percentage for the label \"Surrealist\"?"
},
{
"Correction": true,
"answer": "26.5%",
"ground_truth_answer": "25.3%",
"question": "What is the percentage for the label \"Cyberpunk\"?"
},
{
"Correction": false,
"answer": "29.3%",
"ground_truth_answer": "20.2%",
"question": "What is the percentage for the label \"Avant-Garde\"?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Distribution of Film Styles based on Median Scores",
"ground_truth_answer": "Distribution of Film Styles based on Median Scores",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "8.0%",
"ground_truth_answer": "30.3%",
"question": "What is the percentage for the label \"Noir\"?"
},
{
"Correction": false,
"answer": "10.9%",
"ground_truth_answer": "24.2%",
"question": "What is the percentage for the label \"Surrealist\"?"
},
{
"Correction": false,
"answer": "5.0%",
"ground_truth_answer": "25.3%",
"question": "What is the percentage for the label \"Cyberpunk\"?"
},
{
"Correction": false,
"answer": "60.0%",
"ground_truth_answer": "20.2%",
"question": "What is the percentage for the label \"Avant-Garde\"?"
}
] |
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