Dataset Viewer
sample_id
int64 0
1.04k
| input_path
stringlengths 145
154
| category
stringclasses 5
values | qa_list
listlengths 1
45
| edit_instruction
stringlengths 711
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| target_path
stringlengths 146
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| output_path_bagel_nothink
stringlengths 146
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| output_path_hidream_e1
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| output_path_qwenedit
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| input_image
imagewidth (px) 265
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| target_image
imagewidth (px) 190
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| output_image_bagel_nothink
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| output_image_hidream_e1
imagewidth (px) 214
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| output_image_qwenedit
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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
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Processed_N/A
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[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "Aggcariete Data Dartintotiun",
"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 percentage from this pie chart image. If you can indicate which color corresponds to Feature 1 or provide the legend, I can estimate or compute the percentage for you.",
"ground_truth_answer": "13.2%",
"question": "What is the percentage for Feature 1?"
},
{
"Correction": false,
"answer": "I’m not able to confidently read the percentages from the chart image. If you can provide the legend or the numeric labels for Feature 2, I can calculate or confirm the percentage.",
"ground_truth_answer": "27.5%",
"question": "What is the percentage for Feature 2?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear label for “Feature 3” or its percentage from this image. If you can provide the legend or which color corresponds to Feature 3, I can estimate the percentage.",
"ground_truth_answer": "59.3%",
"question": "What is the percentage for Feature 3?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart (with a donut chart variant on the left).",
"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": "I’m not able to read a labeled percentage for “Feature 1” from this image. The chart’s labels are unclear. If you can provide the legend or the raw values for each feature, I can calculate the percentage for Feature 1.",
"ground_truth_answer": "13.2%",
"question": "What is the percentage for Feature 1?"
},
{
"Correction": false,
"answer": "I can’t determine the percentage for “Feature 2” from this image. The chart doesn’t show readable labels or a legend linking “Feature 2” to a slice. If you can provide the data values or clarify which color corresponds to Feature 2, I can calculate it.",
"ground_truth_answer": "27.5%",
"question": "What is the percentage for Feature 2?"
},
{
"Correction": false,
"answer": "I’m not able to read any clear percentages or labels for “Feature 3” from this chart. If you can share the values or a clearer legend, I can calculate the percentage for Feature 3.",
"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": "Aggrogate Data Distribution",
"ground_truth_answer": "Aggregate Data Distribution",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I can’t determine the exact percentage from this pie chart—the labels are unclear and no percentages are shown. If you can provide the data values or a clearer chart, I can calculate it.",
"ground_truth_answer": "13.2%",
"question": "What is the percentage for Feature 1?"
},
{
"Correction": false,
"answer": "I’m not able to determine Feature 2’s percentage from this chart—the labels are unclear or inconsistent. If you can provide the legend or values used to create the chart (or a clearer image), I can compute it.",
"ground_truth_answer": "27.5%",
"question": "What is the percentage for Feature 2?"
},
{
"Correction": false,
"answer": "I can’t determine the exact percentage for “Feature 3” from this chart—the labels and legend are unclear. If you can provide the underlying values or a clearer legend, I can compute it.",
"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
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/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_qwenedit/output_img/0001_convert_category_edited.png
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Processed_N/A
|
[
{
"Correction": false,
"answer": "Grouped bar chart (side-by-side vertical bars).",
"ground_truth_answer": "Bar Chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Gene GC Comen GG10 SContesdm",
"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": "Collections",
"ground_truth_answer": "GC Content (%)",
"question": "What is the label for the Y-Axis?"
},
{
"Correction": false,
"answer": "I’m not able to read “GeneA” on this chart. Could you point out which bar corresponds to GeneA or provide the data labels?",
"ground_truth_answer": "45",
"question": "What is the GC content for GeneA?"
},
{
"Correction": false,
"answer": "GeneB has a GC content of 55%.",
"ground_truth_answer": "50",
"question": "What is the GC content for GeneB?"
},
{
"Correction": false,
"answer": "45%",
"ground_truth_answer": "48",
"question": "What is the GC content for GeneC?"
},
{
"Correction": false,
"answer": "45%",
"ground_truth_answer": "47",
"question": "What is the GC content for GeneD?"
},
{
"Correction": false,
"answer": "72%",
"ground_truth_answer": "52",
"question": "What is the GC content for GeneE?"
}
] |
[
{
"Correction": false,
"answer": "Grouped (clustered) bar chart.",
"ground_truth_answer": "Bar Chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "I’m not able to determine a clear title from the image. It doesn’t appear to show a readable chart title.",
"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": false,
"answer": "Percentage (%)",
"ground_truth_answer": "GC Content (%)",
"question": "What is the label for the Y-Axis?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear GC content value for GeneA from this chart—the numbers are too unclear. If you can provide the underlying values or a sharper image, I’ll calculate or confirm it.",
"ground_truth_answer": "45",
"question": "What is the GC content for GeneA?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear GC content value for GeneB from this chart. The labels and numbers are too unclear. If you can provide the numeric data or a clearer image, I can calculate or confirm 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 content value for GeneC from this chart. The labels are too blurry. If you can share the numeric values or a clearer image, I can calculate or confirm it.",
"ground_truth_answer": "48",
"question": "What is the GC content for GeneC?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear GC content value for GeneD from this chart. The labels appear too small/blurry. If you can provide the numeric values or a higher-resolution image, I can give you the exact number.",
"ground_truth_answer": "47",
"question": "What is the GC content for GeneD?"
},
{
"Correction": false,
"answer": "About 44% GC content for GeneE.",
"ground_truth_answer": "52",
"question": "What is the GC content for GeneE?"
}
] |
[
{
"Correction": true,
"answer": "Bar chart (vertical column chart).",
"ground_truth_answer": "Bar Chart",
"question": "What is the chart type?"
},
{
"Correction": true,
"answer": "Gene GC Content",
"ground_truth_answer": "Gene GC Content",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "Genes-GC Content%",
"ground_truth_answer": "Genes",
"question": "What is the label for the X-Axis?"
},
{
"Correction": false,
"answer": "Genes-GC Content%",
"ground_truth_answer": "GC Content (%)",
"question": "What is the label for the Y-Axis?"
},
{
"Correction": false,
"answer": "I’m not able to find “GeneA” on this chart—the bars are labeled GeneB, GeneE, and others. Could you share a version that includes GeneA or clarify which bar corresponds to it?",
"ground_truth_answer": "45",
"question": "What is the GC content for GeneA?"
},
{
"Correction": false,
"answer": "32.0%",
"ground_truth_answer": "50",
"question": "What is the GC content for GeneB?"
},
{
"Correction": false,
"answer": "I can’t tell from this chart—there’s no bar labeled “GeneC.” Could you share the data for GeneC or a version of the chart that includes it?",
"ground_truth_answer": "48",
"question": "What is the GC content for GeneC?"
},
{
"Correction": false,
"answer": "I can’t determine GeneD’s GC content from this chart—the labels shown are GeneB, GeneE, and others, but there’s no bar clearly labeled “GeneD.” If you can share the data or a clearer image including GeneD, I can help calculate or read it.",
"ground_truth_answer": "47",
"question": "What is the GC content for GeneD?"
},
{
"Correction": false,
"answer": "41.5%",
"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_qwenedit/output_img/0002_convert_category_edited.png
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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": "Climate Strategies Overview",
"ground_truth_answer": "Climate Strategies Overview",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not sure. The chart’s labels are distorted and I can’t clearly identify which slice corresponds to “Strategy A.” If you can point out which color or slice is Strategy A, I can read the percentage for you.",
"ground_truth_answer": "18.9%",
"question": "What is the percentage for Strategy A?"
},
{
"Correction": false,
"answer": "16%",
"ground_truth_answer": "24.5%",
"question": "What is the percentage for Strategy B?"
},
{
"Correction": false,
"answer": "I’m not sure—this chart’s labels are distorted and don’t clearly show “Strategy C.” Could you point out which color slice corresponds to Strategy C or provide the raw percentages?",
"ground_truth_answer": "26.4%",
"question": "What is the percentage for Strategy C?"
},
{
"Correction": false,
"answer": "I’m not sure. The chart’s labels are distorted and none clearly correspond to “Strategy D.” Could you point out which slice represents Strategy D or share the legend?",
"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": false,
"answer": "Chocolate Survey",
"ground_truth_answer": "Climate Strategies Overview",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to confidently read the percentage labeled for “Strategy A” from this image. The text on the chart appears too distorted/blurry. If you can provide the value from the legend or a clearer image, I can help.",
"ground_truth_answer": "18.9%",
"question": "What is the percentage for Strategy A?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “Strategy B” label or percentage from the pie chart image. If you can point to the slice (e.g., its color/position) or provide the raw values, I can calculate the percentage for Strategy B.",
"ground_truth_answer": "24.5%",
"question": "What is the percentage for Strategy B?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “Strategy C” slice or percentage from this chart image. The labels appear distorted and ambiguous. If you can share a clearer image or list the percentages by strategy, I can identify Strategy C’s value.",
"ground_truth_answer": "26.4%",
"question": "What is the percentage for Strategy C?"
},
{
"Correction": false,
"answer": "I can’t read the exact labels from this image. Could you provide a clearer image or the data table? If you list the percentages for each strategy, I can identify Strategy D’s value.",
"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": "18.9%",
"ground_truth_answer": "18.9%",
"question": "What is the percentage for Strategy A?"
},
{
"Correction": true,
"answer": "26.5%",
"ground_truth_answer": "24.5%",
"question": "What is the percentage for Strategy B?"
},
{
"Correction": true,
"answer": "26.5%",
"ground_truth_answer": "26.4%",
"question": "What is the percentage for Strategy C?"
},
{
"Correction": false,
"answer": "14.5%",
"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.
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Processed_N/A
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[
{
"Correction": false,
"answer": "Donut chart (a ring-style pie chart).",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "I’m not able to read the text or percentages on this chart due to the image being too blurred. Could you upload a clearer version or provide the chart data?",
"ground_truth_answer": "21.1%",
"question": "What percentage is labeled for Healthcare?"
},
{
"Correction": false,
"answer": "I’m not able to read the text or numbers on this chart because it’s too blurred. Could you upload a clearer image or provide the legend/values?",
"ground_truth_answer": "22.5%",
"question": "What percentage is labeled for Social Media?"
},
{
"Correction": false,
"answer": "I’m not able to read the percentages from this image because it’s too blurry. If you can upload a clearer version or provide the numbers, I can help identify the percentage for Finance.",
"ground_truth_answer": "18.3%",
"question": "What percentage is labeled for Finance?"
},
{
"Correction": false,
"answer": "I’m not able to read the percentages from this image because the labels are too blurred. If you can share a clearer image or the data values, I can tell you the percentage for Consumer Goods.",
"ground_truth_answer": "16.9%",
"question": "What percentage is labeled for Consumer Goods?"
},
{
"Correction": false,
"answer": "I’m not able to read the labels or percentages from this image due to its low resolution/blur. Could you upload a clearer version or provide the list of categories with their percentages?",
"ground_truth_answer": "12.7%",
"question": "What percentage is labeled for Technology?"
},
{
"Correction": false,
"answer": "I’m not able to read the percentages from this image because the labels are too blurry. If you can provide a clearer image or the data categories with their percentages, I can tell you the value for Sports.",
"ground_truth_answer": "8.5%",
"question": "What percentage is labeled for Sports?"
}
] |
[
{
"Correction": false,
"answer": "A 3D pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "I can’t read a clear percentage for “Healthcare” from this image—the labels are too distorted/blurry. If you can provide the data or a clearer chart, I’ll compute it.",
"ground_truth_answer": "21.1%",
"question": "What percentage is labeled for Healthcare?"
},
{
"Correction": false,
"answer": "I can’t read a clear label for “Social Media” or its percentage on this chart. The labels appear distorted/unclear. If you can provide a clearer image or the data, I can identify the percentage.",
"ground_truth_answer": "22.5%",
"question": "What percentage is labeled for Social Media?"
},
{
"Correction": false,
"answer": "I can’t read a clear “Finance” label or percentage on this chart. The labels are distorted and not legible. If you can provide the data or a clearer image, I can help calculate or identify the percentage for Finance.",
"ground_truth_answer": "18.3%",
"question": "What percentage is labeled for Finance?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear percentage for “Consumer Goods” from this chart—the labels are too blurry. If you can provide the data or a clearer image, I can calculate or confirm it.",
"ground_truth_answer": "16.9%",
"question": "What percentage is labeled for Consumer Goods?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear percentage label for “Technology” from this chart image. The labels and numbers appear too distorted/unclear to identify. If you can provide a clearer image or list the sector values, I can calculate it.",
"ground_truth_answer": "12.7%",
"question": "What percentage is labeled for Technology?"
},
{
"Correction": false,
"answer": "I can’t read a clear percentage label for “Sports” on this image. The chart text is too distorted/illegible. If you can provide the data or a clearer image, I’ll calculate it.",
"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 can’t read a clear “Healthcare” label or percentage in this chart. The legend text appears distorted, so I’m unable to determine the healthcare value from this image.",
"ground_truth_answer": "21.1%",
"question": "What percentage is labeled for Healthcare?"
},
{
"Correction": false,
"answer": "13%",
"ground_truth_answer": "22.5%",
"question": "What percentage is labeled for Social Media?"
},
{
"Correction": false,
"answer": "13%",
"ground_truth_answer": "18.3%",
"question": "What percentage is labeled for Finance?"
},
{
"Correction": false,
"answer": "8.5%",
"ground_truth_answer": "16.9%",
"question": "What percentage is labeled for Consumer Goods?"
},
{
"Correction": false,
"answer": "I can’t determine a “Technology” label or percentage in this chart. The visible labels are for categories like Social Media, Finance, and Customer, but there’s no clear “Technology” slice shown.",
"ground_truth_answer": "12.7%",
"question": "What percentage is labeled for Technology?"
},
{
"Correction": false,
"answer": "I can’t determine a “Sports” label or percentage from this chart—the labels shown appear to be for other sectors and are unclear. Could you provide a clearer image or the data?",
"ground_truth_answer": "8.5%",
"question": "What percentage is labeled for Sports?"
}
] |
|||||
4 |
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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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Processed_N/A
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[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "I can’t determine a title—there isn’t any visible title on the chart.",
"ground_truth_answer": "Proportion of Genomes Sequenced by Month",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to clearly read the labels in the chart image. Could you provide the legend or a higher‑resolution image so I can identify January’s slice and its percentage?",
"ground_truth_answer": "15.0%",
"question": "What is the percentage for January?"
},
{
"Correction": false,
"answer": "I can’t read the labels clearly from the image. Could you provide a higher‑resolution version or list the percentages shown for each month?",
"ground_truth_answer": "20.0%",
"question": "What is the percentage for February?"
},
{
"Correction": false,
"answer": "I’m not sure—this chart’s month labels aren’t clear. Could you point out which color or slice corresponds to March?",
"ground_truth_answer": "18.0%",
"question": "What is the percentage for March?"
},
{
"Correction": false,
"answer": "April is 55%.",
"ground_truth_answer": "25.0%",
"question": "What is the percentage for April?"
},
{
"Correction": false,
"answer": "I’m not able to read the month labels clearly in the image. Could you provide the legend or the color that represents May?",
"ground_truth_answer": "22.0%",
"question": "What is the percentage for May?"
}
] |
[
{
"Correction": false,
"answer": "3D pie chart",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "I’m not sure. The image text is unclear, and I can’t read a definite title.",
"ground_truth_answer": "Proportion of Genomes Sequenced by Month",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to read the labels or percentages on this pie chart clearly. Could you provide the chart with readable labels or type the values shown for January?",
"ground_truth_answer": "15.0%",
"question": "What is the percentage for January?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “February” slice or percentage from this pie chart image. The labels are too unclear. If you can provide the data values or a higher-resolution/chart with readable labels, I can calculate or extract the percentage for February.",
"ground_truth_answer": "20.0%",
"question": "What is the percentage for February?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “March” label or percentage from this pie chart image. If you can point to which slice is March or provide the legend values, I can calculate or confirm the percentage.",
"ground_truth_answer": "18.0%",
"question": "What is the percentage for March?"
},
{
"Correction": false,
"answer": "I’m not able to read the percentages from that pie chart image—the labels are too unclear. If you can provide a clearer image or the data values for April, I can calculate the percentage for you.",
"ground_truth_answer": "25.0%",
"question": "What is the percentage for April?"
},
{
"Correction": false,
"answer": "I’m not able to read the values from this chart—the labels are too unclear. If you can provide the data or a clearer image, I can calculate the percentage for May.",
"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": "Procrastinated by Morning Many",
"ground_truth_answer": "Proportion of Genomes Sequenced by Month",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “January” label from this chart. If you can point out which color or slice corresponds to January, I can give you the percentage shown.",
"ground_truth_answer": "15.0%",
"question": "What is the percentage for January?"
},
{
"Correction": false,
"answer": "I’m not sure—this chart’s labels are unclear. Could you provide a clearer image or the legend so I can identify which slice corresponds to February?",
"ground_truth_answer": "20.0%",
"question": "What is the percentage for February?"
},
{
"Correction": false,
"answer": "48%",
"ground_truth_answer": "18.0%",
"question": "What is the percentage for March?"
},
{
"Correction": false,
"answer": "48%",
"ground_truth_answer": "25.0%",
"question": "What is the percentage for April?"
},
{
"Correction": false,
"answer": "I can’t determine which slice corresponds to May from this chart—the labels are unclear. If you can point out which color represents May or provide the legend, I’ll give you the percentage.",
"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.
|
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Processed_N/A
|
[
{
"Correction": true,
"answer": "A bar chart (vertical 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": true,
"answer": "65",
"ground_truth_answer": "68",
"question": "What is the value for Retail?"
},
{
"Correction": false,
"answer": "65",
"ground_truth_answer": "35",
"question": "What is the value for Manufacturing?"
},
{
"Correction": false,
"answer": "65",
"ground_truth_answer": "50",
"question": "What is the value for Tourism?"
},
{
"Correction": true,
"answer": "65",
"ground_truth_answer": "70",
"question": "What is the value for Mining?"
},
{
"Correction": false,
"answer": "65",
"ground_truth_answer": "55",
"question": "What is the value for Construction?"
}
] |
[
{
"Correction": true,
"answer": "Vertical bar chart (column chart).",
"ground_truth_answer": "Bar chart",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "Values by Actor",
"ground_truth_answer": "Values per Sector",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I can’t read the exact value from this image. The labels and numbers are too unclear to interpret. If you can share a sharper image or the data values, I’ll help you find the Retail value.",
"ground_truth_answer": "68",
"question": "What is the value for Retail?"
},
{
"Correction": false,
"answer": "I’m not able to clearly read the values from this chart image. Could you provide a clearer image or the data labels?",
"ground_truth_answer": "35",
"question": "What is the value for Manufacturing?"
},
{
"Correction": false,
"answer": "I’m not able to clearly read the values from this image. If you can provide a sharper image or the data labels, I’ll extract the number for Tourism.",
"ground_truth_answer": "50",
"question": "What is the value for Tourism?"
},
{
"Correction": false,
"answer": "I’m not able to read the value for Mining from this image—the labels and numbers are too blurry. If you can provide a clearer image or the underlying data, I can help extract the exact value.",
"ground_truth_answer": "70",
"question": "What is the value for Mining?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact value for “Construction” from this image—the axis labels and numbers are too unclear. If you can share the data or a clearer image, I can help extract it.",
"ground_truth_answer": "55",
"question": "What is the value for Construction?"
}
] |
[
{
"Correction": true,
"answer": "A bar chart (vertical 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": "I can’t see a bar labeled “Retail” in the chart. The visible sectors are Manufacturing, Tourism, and Mining with values around 50, 58, and 70. If you have the Retail data, please share it.",
"ground_truth_answer": "68",
"question": "What is the value for Retail?"
},
{
"Correction": false,
"answer": "50",
"ground_truth_answer": "35",
"question": "What is the value for Manufacturing?"
},
{
"Correction": true,
"answer": "50",
"ground_truth_answer": "50",
"question": "What is the value for Tourism?"
},
{
"Correction": true,
"answer": "70",
"ground_truth_answer": "70",
"question": "What is the value for Mining?"
},
{
"Correction": false,
"answer": "I can’t see a “Construction” bar in the chart, so its value isn’t shown.",
"ground_truth_answer": "55",
"question": "What is the value for Construction?"
}
] |
|||||
6 |
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|
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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|
Processed_N/A
|
[
{
"Correction": false,
"answer": "Doughnut chart (a ring-shaped pie chart).",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "I’m not sure—the image is too blurry to read the chart title. If you can upload a clearer version or type the title text, I can help.",
"ground_truth_answer": "Average Value Distribution of Philosophical Trends",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to read the percentage for “High” from this image because the text is too blurred. If you can upload a clearer version or provide the text values, I can help identify it.",
"ground_truth_answer": "52.6%",
"question": "What is the percentage for the label \"High\"?"
},
{
"Correction": false,
"answer": "I’m not able to read the percentage from this image because it’s too blurred. If you can share a clearer version or the data used to make the chart, I can calculate or identify the percentage for “Close.”",
"ground_truth_answer": "31.6%",
"question": "What is the percentage for the label \"Close\"?"
},
{
"Correction": false,
"answer": "I’m not able to read the percentage from this image because the text is too blurry. If you can upload a clearer version or provide the values, I can help calculate or confirm the percentage for “Open.”",
"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": "“Cwerfests irayasetixfata srrage ard, Miujahw are odrioeoe”",
"ground_truth_answer": "Average Value Distribution of Philosophical Trends",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I can’t determine the exact percentage from this image—the pie slices aren’t labeled with numeric values. If you can provide the data or a clearer chart with percentages, I can calculate it.",
"ground_truth_answer": "52.6%",
"question": "What is the percentage for the label \"High\"?"
},
{
"Correction": false,
"answer": "I can’t determine an exact percentage from this image—the chart doesn’t include numeric values. The “Close” slice looks like roughly one-eighth of the pie, so an estimate would be about 12–15%.",
"ground_truth_answer": "31.6%",
"question": "What is the percentage for the label \"Close\"?"
},
{
"Correction": false,
"answer": "I’m not able to read any percentages on the chart, and the slices aren’t labeled with numbers. I can’t determine the exact percentage for “Open” from this image. If you can provide the data or a clearer chart with values, I’ll calculate it.",
"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 Value Distribution, and High",
"ground_truth_answer": "Average Value Distribution of Philosophical Trends",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "32.6%",
"ground_truth_answer": "52.6%",
"question": "What is the percentage for the label \"High\"?"
},
{
"Correction": true,
"answer": "31.8%",
"ground_truth_answer": "31.6%",
"question": "What is the percentage for the label \"Close\"?"
},
{
"Correction": false,
"answer": "About 35.6% (the light blue “Open” slice).",
"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.
|
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|
Processed_N/A
|
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie Chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "I’m not sure. The image is too blurred to read the chart title.",
"ground_truth_answer": "Distribution of Values by Category",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to read the percentages from this image—the labels are too blurry. If you can provide a clearer image or the data labels, I can calculate it for you.",
"ground_truth_answer": "26.7%",
"question": "What is the percentage for Real Estate?"
},
{
"Correction": false,
"answer": "I’m not able to read the numbers on this pie chart clearly. Could you provide a sharper image or the data labels?",
"ground_truth_answer": "16.7%",
"question": "What is the percentage for Gaming?"
},
{
"Correction": false,
"answer": "I’m not able to read the percentages from this blurry image. Could you provide a clearer version or the data labels?",
"ground_truth_answer": "33.3%",
"question": "What is the percentage for Finance?"
},
{
"Correction": false,
"answer": "I’m not able to read the numbers on this pie chart due to the image being too blurry. Could you provide a clearer image or the legend/values shown for each segment?",
"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": "TrinOkberfanmnse!",
"ground_truth_answer": "Distribution of Values by Category",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "3%",
"ground_truth_answer": "26.7%",
"question": "What is the percentage for Real Estate?"
},
{
"Correction": false,
"answer": "I can’t reliably read the exact labels or percentages from this chart image. If you can provide a clearer image or the legend/data values, I’ll give you the percentage for Gaming.",
"ground_truth_answer": "16.7%",
"question": "What is the percentage for Gaming?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “Finance” slice or percentage on this pie chart. If you can point to the exact slice (color/position) or provide the legend text, I can estimate or calculate it.",
"ground_truth_answer": "33.3%",
"question": "What is the percentage for Finance?"
},
{
"Correction": false,
"answer": "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": "I’m not seeing a “Real Estate” slice labeled on this chart. The visible labels are:\n- Finance: ~33.3%\n- Two categories at 16.0% each\n- One category at 6.0%\n\nIf “Real Estate” corresponds to one of the unlabeled/mislabeled 16% slices, it would be 16%. Otherwise, please point out which slice is Real Estate.",
"ground_truth_answer": "26.7%",
"question": "What is the percentage for Real Estate?"
},
{
"Correction": true,
"answer": "16.0%",
"ground_truth_answer": "16.7%",
"question": "What is the percentage for Gaming?"
},
{
"Correction": true,
"answer": "About 33.3%.",
"ground_truth_answer": "33.3%",
"question": "What is the percentage for Finance?"
},
{
"Correction": false,
"answer": "16.0%",
"ground_truth_answer": "23.3%",
"question": "What is the percentage for Supply Chain?"
}
] |
|||||
8 |
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|
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.
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|
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|
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|
Processed_N/A
|
[
{
"Correction": true,
"answer": "Bar chart (vertical column chart).",
"ground_truth_answer": "Bar Chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "I’m not sure—there’s no readable title visible on the chart.",
"ground_truth_answer": "Data Distribution by Sector",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "Label: Online Retail\nValue: 260%",
"ground_truth_answer": "Online Retail: 450",
"question": "What is the label and value for Online Retail?"
},
{
"Correction": false,
"answer": "Label: Healthcare\nValue: 500%",
"ground_truth_answer": "Healthcare: 200",
"question": "What is the label and value for Healthcare?"
},
{
"Correction": false,
"answer": "Label: Electronics \nValue: 500%",
"ground_truth_answer": "E-commerce: 400",
"question": "What is the label and value for E-commerce?"
},
{
"Correction": false,
"answer": "Finance: Information Technology, 200%",
"ground_truth_answer": "Finance: 1000",
"question": "What is the label and value for Finance?"
},
{
"Correction": false,
"answer": "Label: IT Services\nValue: 200%",
"ground_truth_answer": "IT Services: 150",
"question": "What is the label and value for IT Services?"
},
{
"Correction": false,
"answer": "I don’t know. The image doesn’t clearly show any Y-axis label.",
"ground_truth_answer": "Values",
"question": "What is the Y-axis label?"
},
{
"Correction": false,
"answer": "Oalnetlrofoutif, Lelaggs, Ielovrrtea, ITCavlies",
"ground_truth_answer": "Online Retail, Healthcare, E-commerce, Finance, IT Services",
"question": "What are the X-axis labels?"
}
] |
[
{
"Correction": true,
"answer": "Bar chart (vertical bar/column chart).",
"ground_truth_answer": "Bar Chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "The chart’s title is “Box Office Revenue in Crores.”",
"ground_truth_answer": "Data Distribution by Sector",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "Online Retail — 600.",
"ground_truth_answer": "Online Retail: 450",
"question": "What is the label and value for Online Retail?"
},
{
"Correction": false,
"answer": "Label: Healthcare\nValue: 6.0%",
"ground_truth_answer": "Healthcare: 200",
"question": "What is the label and value for Healthcare?"
},
{
"Correction": false,
"answer": "Label: Retail \nValue: 600",
"ground_truth_answer": "E-commerce: 400",
"question": "What is the label and value for E-commerce?"
},
{
"Correction": false,
"answer": "Label: Finance\nValue: 2000",
"ground_truth_answer": "Finance: 1000",
"question": "What is the label and value for Finance?"
},
{
"Correction": false,
"answer": "Label: IT Services\nValue: 600",
"ground_truth_answer": "IT Services: 150",
"question": "What is the label and value for IT Services?"
},
{
"Correction": false,
"answer": "2.00",
"ground_truth_answer": "Values",
"question": "What is the Y-axis label?"
},
{
"Correction": false,
"answer": "The x-axis labels are: \n- Italy \n- Nigeria \n- Congo \n- Comoros",
"ground_truth_answer": "Online Retail, Healthcare, E-commerce, Finance, IT Services",
"question": "What are the X-axis labels?"
}
] |
[
{
"Correction": true,
"answer": "Grouped (clustered) vertical bar 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": "Label: Online Retail\nValue: 10",
"ground_truth_answer": "Online Retail: 450",
"question": "What is the label and value for Online Retail?"
},
{
"Correction": false,
"answer": "I can’t determine a clear “Healthcare” bar or value from this chart—the labels appear garbled and don’t show a “Healthcare” category. If you can share the data or a clearer image, I can extract it.",
"ground_truth_answer": "Healthcare: 200",
"question": "What is the label and value for Healthcare?"
},
{
"Correction": false,
"answer": "Label: E-commerce\nValue: 45",
"ground_truth_answer": "E-commerce: 400",
"question": "What is the label and value for E-commerce?"
},
{
"Correction": false,
"answer": "I can’t determine the exact “Finance” label or its value from this chart—the x‑axis labels appear distorted/illegible and none clearly reads “Finance.” If you can provide the underlying data or a clearer image, I can extract it.",
"ground_truth_answer": "Finance: 1000",
"question": "What is the label and value for Finance?"
},
{
"Correction": false,
"answer": "Label: 20%\nValue: around 60 (brown bar) and 50 (blue bar).",
"ground_truth_answer": "IT Services: 150",
"question": "What is the label and value for IT Services?"
},
{
"Correction": false,
"answer": "Y-axis label: “Visits”",
"ground_truth_answer": "Values",
"question": "What is the Y-axis label?"
},
{
"Correction": false,
"answer": "- Oatlcag \n- Oaldirm \n- Values \n- 20%",
"ground_truth_answer": "Online Retail, Healthcare, E-commerce, Finance, IT Services",
"question": "What are the X-axis labels?"
}
] |
|||||
9 |
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|
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 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": "Geospatial Tools",
"ground_truth_answer": "Tools",
"question": "What is the label for the X-axis?"
},
{
"Correction": false,
"answer": "Frequency of Usage",
"ground_truth_answer": "Usage (Number of Users)",
"question": "What is the label for the Y-axis?"
},
{
"Correction": false,
"answer": "About 80 users.",
"ground_truth_answer": "6000 users",
"question": "How many users use ArcGIS?"
},
{
"Correction": false,
"answer": "About 300 users.",
"ground_truth_answer": "3000 users",
"question": "How many users use QGIS?"
},
{
"Correction": false,
"answer": "About 40 users.",
"ground_truth_answer": "2000 users",
"question": "How many users use Google Earth?"
},
{
"Correction": false,
"answer": "3 users.",
"ground_truth_answer": "5000 users",
"question": "How many users use MapInfo?"
},
{
"Correction": false,
"answer": "About 80 users.",
"ground_truth_answer": "1000 users",
"question": "How many users use OpenStreetMap?"
}
] |
[
{
"Correction": false,
"answer": "Pie chart",
"ground_truth_answer": "Bar Chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "I can’t read the chart’s title from this image. The text at the top is too distorted to make out clearly.",
"ground_truth_answer": "Geospatial Tool Usage",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "There is no X-axis label; it’s a pie chart, so no X-axis applies.",
"ground_truth_answer": "Tools",
"question": "What is the label for the X-axis?"
},
{
"Correction": false,
"answer": "There is no Y-axis label — it’s a pie chart, which doesn’t have a Y‑axis.",
"ground_truth_answer": "Usage (Number of Users)",
"question": "What is the label for the Y-axis?"
},
{
"Correction": false,
"answer": "I’m not able to read a reliable number from this chart. Could you share the data or the specific slice value for ArcGIS? If you’re asking generally: Esri has stated that ArcGIS is used by millions of users worldwide across governments, businesses, and NGOs, but they don’t publish a precise current user count.",
"ground_truth_answer": "6000 users",
"question": "How many users use ArcGIS?"
},
{
"Correction": false,
"answer": "I don’t have a reliable count from that image. There’s no definitive, publicly verified number of QGIS users; it’s free/open-source and doesn’t require registration. Estimates from the QGIS community suggest millions of installs worldwide, but not an exact user count. If you need a figure for a report, you can cite proxies like:\n\n- Download counts from qgis.org mirrors and app stores\n- Number of organizations/governments listing QGIS in use\n- Plugin download statistics\n\nI can help gather the latest public stats if you specify the region or source you prefer.",
"ground_truth_answer": "3000 users",
"question": "How many users use QGIS?"
},
{
"Correction": false,
"answer": "I don’t have a reliable current figure from that image. Publicly reported numbers vary by year. The last widely cited milestone from Google was “more than 1 billion downloads” of Google Earth (announced around 2015), but active user counts aren’t regularly published.\n\nIf you need an up‑to‑date number, I can search recent reports or Google’s announcements if you enable web browsing.",
"ground_truth_answer": "2000 users",
"question": "How many users use Google Earth?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear number for MapInfo from the pie chart image. The labels are too blurry. If you can share the numbers or a higher-resolution chart (or the source data), I can calculate it.",
"ground_truth_answer": "5000 users",
"question": "How many users use MapInfo?"
},
{
"Correction": false,
"answer": "OpenStreetMap doesn’t publish a single “number of users,” since it’s used in many apps and services. Two common figures:\n\n- Registered contributors (people with OSM accounts): about 10 million+ accounts, with a few hundred thousand active mappers in a given year.\n- End users (people who use maps powered by OSM data): hundreds of millions globally, via apps like Maps.me, OsmAnd, Strava, Facebook, Snapchat, Mapbox, and many others. Exact total is not tracked centrally.\n\nIf you meant registered mappers only: roughly 10M+. If you meant map users overall: hundreds of millions.",
"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": false,
"answer": "Footballs manufactures in Stratford",
"ground_truth_answer": "Geospatial Tool Usage",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "Top 5 U.S. states by ISI.",
"ground_truth_answer": "Tools",
"question": "What is the label for the X-axis?"
},
{
"Correction": false,
"answer": "Unscramble lettersumerator",
"ground_truth_answer": "Usage (Number of Users)",
"question": "What is the label for the Y-axis?"
},
{
"Correction": false,
"answer": "I’m not able to read the values from this chart reliably. Could you provide the numbers or a clearer image so I can tell how many users ArcGIS has?",
"ground_truth_answer": "6000 users",
"question": "How many users use ArcGIS?"
},
{
"Correction": false,
"answer": "I’m not able to read the numbers from this chart clearly enough to determine the QGIS value. Could you provide the figure label for QGIS or a clearer image?",
"ground_truth_answer": "3000 users",
"question": "How many users use QGIS?"
},
{
"Correction": false,
"answer": "I’m not sure from this image. The chart text is distorted and I can’t read a value for Google Earth. Could you provide the original chart or the numbers?",
"ground_truth_answer": "2000 users",
"question": "How many users use Google Earth?"
},
{
"Correction": false,
"answer": "I can’t determine that from this chart—the labels are distorted/unclear, so I can’t identify which bar corresponds to MapInfo or read an exact value. If you can provide a clearer image or the data values, I’ll calculate it.",
"ground_truth_answer": "5000 users",
"question": "How many users use MapInfo?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear value for OpenStreetMap from this chart—the labels appear distorted. Could you provide a clearer image or the data values?",
"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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|
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|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_qwenedit/output_img/0010_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": "Proportion of Fees Payments by Month",
"ground_truth_answer": "Proportion of Patients by Month",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not sure from this image—the month labels are distorted and unreadable, so I can’t determine January’s percentage. If you can provide the raw values or a clearer chart, I’ll calculate it.",
"ground_truth_answer": "13.2%",
"question": "What is the percentage for January?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “February” label on this chart—the text appears distorted. If you can provide the value or a clearer image, I’ll calculate or confirm the percentage for February.",
"ground_truth_answer": "14.3%",
"question": "What is the percentage for February?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “March” label or percentage from this pie chart image—the labels appear distorted/illegible. If you can provide the data or a clearer chart, I can give you the exact percentage.",
"ground_truth_answer": "16.5%",
"question": "What is the percentage for March?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “April” label or percentage on this chart—the labels are distorted. If you can share the data or a clearer image, I can give you the exact percentage.",
"ground_truth_answer": "17.6%",
"question": "What is the percentage for April?"
},
{
"Correction": false,
"answer": "I can’t read a clear “May” label or percentage in this chart. The month names appear distorted and unreadable. If you can provide the data or a clearer image, I can calculate or extract May’s percentage.",
"ground_truth_answer": "18.7%",
"question": "What is the percentage for May?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact labels from this image. Could you provide a clearer image or the data values?",
"ground_truth_answer": "19.8%",
"question": "What is the percentage for June?"
}
] |
[
{
"Correction": false,
"answer": "3D pie chart",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Nisceh of Shetalthcure Balthcern Deshie Trends",
"ground_truth_answer": "Proportion of Patients by Month",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “January” segment or percentages from this pie chart. If you can provide the data values or clarify which color corresponds to January, I can calculate the percentage for you.",
"ground_truth_answer": "13.2%",
"question": "What is the percentage for January?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear label for February on this pie chart, so I can’t determine its percentage. If you can point out which slice corresponds to February or provide the data labels, I can calculate it.",
"ground_truth_answer": "14.3%",
"question": "What is the percentage for February?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “March” label or percentage from this chart image. If you can share the data values or a clearer legend, I can calculate or identify March’s percentage for you.",
"ground_truth_answer": "16.5%",
"question": "What is the percentage for March?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “April” segment or percentage from this pie chart. If you can provide the data values or a clearer legend showing which slice is April, I can calculate the percentage for you.",
"ground_truth_answer": "17.6%",
"question": "What is the percentage for April?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear percentage for “May” from this chart—the labels are distorted/unclear. If you can provide the exact values or a clearer image, I can calculate the percentage for May.",
"ground_truth_answer": "18.7%",
"question": "What is the percentage for May?"
},
{
"Correction": false,
"answer": "I’m not able to determine the percentage for June from this chart. The labels are unclear/illegible. If you can provide the data values or a clearer image, I can calculate the percentage.",
"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": "I’m not able to tell which slice corresponds to January from this chart—the legend and labels don’t indicate months. If you can specify which color represents January (or provide the legend), I can give you the percentage.",
"ground_truth_answer": "13.2%",
"question": "What is the percentage for January?"
},
{
"Correction": false,
"answer": "16.4%",
"ground_truth_answer": "14.3%",
"question": "What is the percentage for February?"
},
{
"Correction": false,
"answer": "I’m not sure which slice corresponds to March—the chart doesn’t label months to colors. If you can tell me the color for March, I’ll give you the percentage shown for that slice.",
"ground_truth_answer": "16.5%",
"question": "What is the percentage for March?"
},
{
"Correction": false,
"answer": "I can’t tell which slice corresponds to April from this chart—the months aren’t labeled. Could you specify the color for April?",
"ground_truth_answer": "17.6%",
"question": "What is the percentage for April?"
},
{
"Correction": true,
"answer": "17.9%",
"ground_truth_answer": "18.7%",
"question": "What is the percentage for May?"
},
{
"Correction": false,
"answer": "16.4%",
"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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|
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|
Processed_N/A
|
[
{
"Correction": true,
"answer": "A pie chart.",
"ground_truth_answer": "Pie Chart",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "Tech Adoption Trends",
"ground_truth_answer": "Tech Adoption Trends by Category",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "22.7%",
"ground_truth_answer": "18.8%",
"question": "What percentage is attributed to IoT Integration?"
},
{
"Correction": false,
"answer": "66%",
"ground_truth_answer": "20.1%",
"question": "What percentage is attributed to Cybersecurity?"
},
{
"Correction": true,
"answer": "22.7%",
"ground_truth_answer": "20.8%",
"question": "What percentage is attributed to Big Data Analytics?"
},
{
"Correction": true,
"answer": "22.7%",
"ground_truth_answer": "22.7%",
"question": "What percentage is attributed to Cloud Computing?"
},
{
"Correction": false,
"answer": "I can’t reliably read the labels in the chart, so I’m not sure which slice corresponds to Enterprise Mobility. If you can point out which color/segment is Enterprise Mobility, I can give you the percentage shown.",
"ground_truth_answer": "17.5%",
"question": "What percentage is attributed to Enterprise Mobility?"
}
] |
[
{
"Correction": false,
"answer": "A 3D pie chart.",
"ground_truth_answer": "Pie Chart",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "I can’t see any title on this chart.",
"ground_truth_answer": "Tech Adoption Trends by Category",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to clearly read the labels in this image. Could you provide the legend or the color for “IoT Integration,” or a clearer version of the chart?",
"ground_truth_answer": "18.8%",
"question": "What percentage is attributed to IoT Integration?"
},
{
"Correction": false,
"answer": "I’m not seeing any labels for the categories on this pie chart—only percentages—so I can’t tell which slice corresponds to “Cybersecurity.” If you can provide the legend or indicate which color represents Cybersecurity, I’ll give you the percentage.",
"ground_truth_answer": "20.1%",
"question": "What percentage is attributed to Cybersecurity?"
},
{
"Correction": false,
"answer": "I can’t determine the percentage for “Big Data Analytics” from this image because the slices aren’t labeled with category names—only percentages. If you can provide which color corresponds to Big Data Analytics or share the legend, I’ll read the value for you.",
"ground_truth_answer": "20.8%",
"question": "What percentage is attributed to Big Data Analytics?"
},
{
"Correction": false,
"answer": "I’m not able to determine which slice corresponds to “Cloud Computing” from this image, since the segments aren’t labeled with category names—only percentages. If you can provide the legend or indicate which color/slice is Cloud Computing, I can give you the percentage.",
"ground_truth_answer": "22.7%",
"question": "What percentage is attributed to Cloud Computing?"
},
{
"Correction": false,
"answer": "I can’t determine which slice corresponds to “Enterprise Mobility” from this image, since the segments aren’t labeled with category names—only percentages. If you can provide the legend or indicate which color represents Enterprise Mobility, I’ll give you the percentage.",
"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": "20.7%",
"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": "22.7%",
"ground_truth_answer": "20.8%",
"question": "What percentage is attributed to Big Data Analytics?"
},
{
"Correction": true,
"answer": "20.7%",
"ground_truth_answer": "22.7%",
"question": "What percentage is attributed to Cloud Computing?"
},
{
"Correction": false,
"answer": "22.7%",
"ground_truth_answer": "17.5%",
"question": "What percentage is attributed to Enterprise Mobility?"
}
] |
|||||
12 |
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0012_convert_category_source.png
|
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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|
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|
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|
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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": false,
"answer": "Quaintum Research Areas",
"ground_truth_answer": "Quantum Research Areas",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "It appears to show a numeric scale (000–800), but no specific unit or label is provided—so the Y‑axis isn’t clearly defined.",
"ground_truth_answer": "Importance Level",
"question": "What does the Y-axis represent?"
},
{
"Correction": true,
"answer": "75.30%",
"ground_truth_answer": "70",
"question": "What is the value for Quantum Algorithms?"
},
{
"Correction": false,
"answer": "75.30%",
"ground_truth_answer": "60",
"question": "What is the value for Quantum Hardware?"
},
{
"Correction": false,
"answer": "I can’t reliably read a specific numeric value for “Applications in Chemistry” from this chart—the labels and axis numbers are unclear. If you can provide the data or a clearer image, I’ll extract it.",
"ground_truth_answer": "50",
"question": "What is the value for Applications in Chemistry?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear numeric value for “Quantum Cryptography” from this image. Could you provide the labeled values or a clearer chart?",
"ground_truth_answer": "90",
"question": "What is the value for Quantum Cryptography?"
}
] |
[
{
"Correction": false,
"answer": "A doughnut chart (donut pie chart).",
"ground_truth_answer": "Bar Chart",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "I’m not sure. The text in the image is distorted and not clearly readable, so I can’t determine the chart’s title.",
"ground_truth_answer": "Quantum Research Areas",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "There is no Y-axis. This is a donut (pie) chart, which doesn’t use X or Y axes.",
"ground_truth_answer": "Importance Level",
"question": "What does the Y-axis represent?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “Quantum Algorithms” label or value in this chart—its text appears distorted or nonsensical. If you can share the specific segment name or a clearer image, I can extract the value.",
"ground_truth_answer": "70",
"question": "What is the value for Quantum Algorithms?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear value for “Quantum Hardware” from this image. The chart text appears distorted/illegible. If you can provide a clearer image or the data list, I can extract the exact value.",
"ground_truth_answer": "60",
"question": "What is the value for Quantum Hardware?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “Applications in Chemistry” value from this image—the labels and numbers are distorted/illegible. If you can provide a clearer image or the data list, I’ll extract the value for you.",
"ground_truth_answer": "50",
"question": "What is the value for Applications in Chemistry?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “Quantum Cryptography” value from this chart—the labels are distorted/illegible. If you can provide the numerical value or a clearer image, I’ll identify it.",
"ground_truth_answer": "90",
"question": "What is the value for Quantum Cryptography?"
}
] |
[
{
"Correction": true,
"answer": "A bar chart (with stacked bars on the right).",
"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 isn’t labeled. The Y‑axis has no title or scale in the chart.",
"ground_truth_answer": "Importance Level",
"question": "What does the Y-axis represent?"
},
{
"Correction": false,
"answer": "18.9%",
"ground_truth_answer": "70",
"question": "What is the value for Quantum Algorithms?"
},
{
"Correction": false,
"answer": "30.7%",
"ground_truth_answer": "60",
"question": "What is the value for Quantum Hardware?"
},
{
"Correction": false,
"answer": "I’m not able to determine that from this chart. The bar labels are unclear/obscured, so I can’t see which one corresponds to “Applications in Chemistry.” If you can provide a clearer image or the data labels, I can help read the value.",
"ground_truth_answer": "50",
"question": "What is the value for Applications in Chemistry?"
},
{
"Correction": false,
"answer": "I can’t determine the value for “Quantum Cryptography” from this chart—the labels are unclear/garbled. If you can provide a clearer image or the data values, I’ll extract it for you.",
"ground_truth_answer": "90",
"question": "What is the value for Quantum Cryptography?"
}
] |
|||||
13 |
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0013_convert_category_source.png
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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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|
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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
|
/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 bar graph).",
"ground_truth_answer": "Bar charts",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "I’m not able to read a specific “Weather” value from Sub‑chart 1 in the provided image—the axis labels and bars are too unclear. If you can share the underlying numbers or a higher‑resolution image, I can extract the exact value.",
"ground_truth_answer": "10",
"question": "What is the value for Weather in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "About 30.",
"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 that image. Could you provide a clearer version or the data labels?",
"ground_truth_answer": "50",
"question": "What is the value for Energy in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "Transport ≈ 50.",
"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 the exact values from this image. Could you share a clearer version or provide the data labels?",
"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 read the exact values from this image. Could you provide a clearer or higher‑resolution version, or list the labels so I can help identify “Weather” in Sub‑chart 2 – Data Set 2?",
"ground_truth_answer": "30",
"question": "What is the value for Weather in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "I can’t read the exact values from this image. Could you provide a clearer version or the data labels?",
"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 exact values from this image. Could you provide a clearer version or the data labels?",
"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 exact values from this chart image—the axes and labels are too distorted to determine a precise number. If you can provide a clearer image or the data table, I can give the exact value for Transport in 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 read the exact values from the provided image. Could you share a clearer image or the data labels?",
"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 values from that image. Could you provide a clearer version or the data table for Sub‑chart 3 – Data Set 3?",
"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 values from this image—the axis labels and bars are too unclear to determine the number for “Pollution” in Sub‑chart 3, Data Set 3. If you can share a clearer image or the underlying data, I can extract the value.",
"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 a clearer version or the data labels for Sub‑chart 3 (Data Set 3), especially the Energy bar?",
"ground_truth_answer": "40",
"question": "What is the value for Energy in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "On Sub‑chart 3 (Data Set 3), the value for Transport is 4.",
"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 read the exact value from this image. Could you provide a clearer image or the data labels for Sub‑chart 3, Data Set 3?",
"ground_truth_answer": "30",
"question": "What is the value for Waste in Sub-chart 3 - Data Set 3?"
}
] |
[
{
"Correction": false,
"answer": "Donut chart (a circular chart with a hollow center).",
"ground_truth_answer": "Bar charts",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact values from this image. Could you provide a clearer image or the data labels?",
"ground_truth_answer": "10",
"question": "What is the value for Weather in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "20%",
"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 value for “Energy” from this image. Could you provide a clearer image or the data table?",
"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 clearly read the values from this image. If you can provide a sharper image or the data table/labels for Sub-chart 1 – Data Set 1, I can identify the Transport value.",
"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 the value from this image. Could you provide a clearer version of Sub-chart 1 - Data Set 1 or the underlying data?",
"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 read the values from this image. Could you provide a clearer image or the data table for Sub-chart 2 – Data Set 2?",
"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 value from this image. Could you provide a clearer image or the data table 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 exact values from this image. Could you provide the chart data or a clearer image so I can find the value for Energy in 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": "I’m not able to read the values from this image. Could you provide the chart data or a clearer image?",
"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 values from this image. Could you provide a clearer image or the data table for Sub-chart 2 - Data Set 2 so I can find the value for Waste?",
"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 values from this image. Could you provide the chart with clearer labels or the data table for Sub-chart 3 – Data Set 3?",
"ground_truth_answer": "10",
"question": "What is the value for Weather in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "30%",
"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 table or a clearer image of Sub-chart 3 – Data Set 3?",
"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 from this image. If you can provide the data table or a clearer view of Sub-chart 3 – Data Set 3, I’ll extract it.",
"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 read the specific values from this image. If you can provide the data table or a clearer image of Sub-chart 3 – Data Set 3, 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": true,
"answer": "Bar charts (grouped/side-by-side bar charts).",
"ground_truth_answer": "Bar charts",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "I can’t find “Weather” in Sub‑chart 1 – Data Set 1 in the provided image. It only shows values for items like Pollution, Pollutant, Energy, and Transport. If you have a different chart or dataset that includes “Weather,” please share it so I can read the value.",
"ground_truth_answer": "10",
"question": "What is the value for Weather in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "23.3%",
"ground_truth_answer": "40",
"question": "What is the value for Pollution in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "23.5%",
"ground_truth_answer": "50",
"question": "What is the value for Energy in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "14.9%",
"ground_truth_answer": "80",
"question": "What is the value for Transport in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "23.3%",
"ground_truth_answer": "50",
"question": "What is the value for Waste in Sub-chart 1 - Data Set 1?"
},
{
"Correction": false,
"answer": "I don’t see any “Weather” category in Sub‑chart 2 – Data Set 2 in the image. The bars shown are labeled Pollution and Energy with values 14.6% and 23.5%, respectively. If you meant another chart, please share it.",
"ground_truth_answer": "30",
"question": "What is the value for Weather in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "14.6%",
"ground_truth_answer": "50",
"question": "What is the value for Pollution in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "11.89%",
"ground_truth_answer": "30",
"question": "What is the value for Energy in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "14.9%",
"ground_truth_answer": "70",
"question": "What is the value for Transport in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "23.3%",
"ground_truth_answer": "40",
"question": "What is the value for Waste in Sub-chart 2 - Data Set 2?"
},
{
"Correction": false,
"answer": "I don’t see any “Weather” bar or label in Sub-chart 3 – Data Set 3 in the provided image, so its value isn’t shown.",
"ground_truth_answer": "10",
"question": "What is the value for Weather in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "14.6%",
"ground_truth_answer": "50",
"question": "What is the value for Pollution in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "11.8%",
"ground_truth_answer": "40",
"question": "What is the value for Energy in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "14.9%",
"ground_truth_answer": "60",
"question": "What is the value for Transport in Sub-chart 3 - Data Set 3?"
},
{
"Correction": false,
"answer": "23.3%",
"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.
|
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/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": "I’m not sure—the image is too blurry to read the chart’s title. Could you provide a clearer image or the text?",
"ground_truth_answer": "Industry Metrics Distribution",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to read the percentages from this image because it’s too blurry. Could you upload a clearer version or share the numbers shown for each slice?",
"ground_truth_answer": "19.1%",
"question": "What percentage is allocated to Sports?"
},
{
"Correction": false,
"answer": "I’m not able to read the percentages from this image because it’s too blurred. Could you upload a clearer version or type the numbers you see?",
"ground_truth_answer": "27.7%",
"question": "What percentage is allocated to Entertainment?"
},
{
"Correction": false,
"answer": "I’m not able to read the percentages clearly from this image. Could you provide a sharper image or the text values from the chart?",
"ground_truth_answer": "27.7%",
"question": "What percentage is allocated to Finance?"
},
{
"Correction": false,
"answer": "I can’t read the text in this image clearly enough to determine the percentage for Technology. Could you provide a clearer image or the labels/values?",
"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 Market Share Distribution",
"ground_truth_answer": "Industry Metrics Distribution",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear percentage for “Sports” from this chart—the labels look distorted. If you can provide the numbers or a clearer image, I’ll calculate it.",
"ground_truth_answer": "19.1%",
"question": "What percentage is allocated to Sports?"
},
{
"Correction": false,
"answer": "I can’t read a clear percentage for “Entertainment” from this chart image. The labels appear distorted/unclear. If you can provide the data or a clearer image, I’ll calculate it.",
"ground_truth_answer": "27.7%",
"question": "What percentage is allocated to Entertainment?"
},
{
"Correction": false,
"answer": "I’m not sure from this image. The labels and percentages aren’t clearly readable, so I can’t determine the Finance allocation. If you can provide a clearer image or the data values, I’ll calculate it.",
"ground_truth_answer": "27.7%",
"question": "What percentage is allocated to Finance?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear percentage for “Technology” from this pie chart image—the labels appear distorted. If you can provide the data or a clearer version, I can calculate it.",
"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": false,
"answer": "Industry Matrics Distribution",
"ground_truth_answer": "Industry Metrics Distribution",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “Sports” segment or percentage from this pie chart. The labels appear distorted and don’t show a Sports category. If you can provide the numbers or a clearer image, I can calculate it.",
"ground_truth_answer": "19.1%",
"question": "What percentage is allocated to Sports?"
},
{
"Correction": false,
"answer": "40%",
"ground_truth_answer": "27.7%",
"question": "What percentage is allocated to Entertainment?"
},
{
"Correction": false,
"answer": "I can’t read the exact percentage for Finance from this chart—the text is distorted. Could you provide the figure or a clearer image?",
"ground_truth_answer": "27.7%",
"question": "What percentage is allocated to Finance?"
},
{
"Correction": false,
"answer": "25%",
"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.
|
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|
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|
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Processed_N/A
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[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "I’m not sure—the image doesn’t show any title.",
"ground_truth_answer": "Various Indicators",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “Weather” label or percentage from this chart image—the text appears distorted. If you can provide the legend or a clearer image, I can identify the percentage for Weather.",
"ground_truth_answer": "22.7%",
"question": "What is the percentage for Weather?"
},
{
"Correction": false,
"answer": "I can’t read a clear “Industry” label or percentage from this chart image. If you can provide the legend or a clearer image, I’ll identify the percentage for Industry.",
"ground_truth_answer": "21.2%",
"question": "What is the percentage for Industry?"
},
{
"Correction": false,
"answer": "I can’t determine the percentage for “Energy” from this image—the labels are unclear and don’t show which slice is “Energy.” If you can provide the legend or clearer labels, I’ll calculate it.",
"ground_truth_answer": "18.2%",
"question": "What is the percentage for Energy?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “Population” label or percentage from this pie chart image. The text on the slices is blurry/garbled. If you can provide the labels or a clearer image, I can identify the percentage for Population.",
"ground_truth_answer": "25.8%",
"question": "What is the percentage for Population?"
},
{
"Correction": false,
"answer": "I’m not able to read clear labels from this pie chart image, so I can’t determine Finance’s percentage. If you can provide a clearer image or the legend/labels, I’ll calculate it.",
"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": "Antibiotic Use in Patients with Viral Illnesses",
"ground_truth_answer": "Various Indicators",
"question": "What is the title of the chart?"
},
{
"Correction": true,
"answer": "27%",
"ground_truth_answer": "22.7%",
"question": "What is the percentage for Weather?"
},
{
"Correction": false,
"answer": "27%",
"ground_truth_answer": "21.2%",
"question": "What is the percentage for Industry?"
},
{
"Correction": true,
"answer": "Energy: 20%",
"ground_truth_answer": "18.2%",
"question": "What is the percentage for Energy?"
},
{
"Correction": true,
"answer": "27%",
"ground_truth_answer": "25.8%",
"question": "What is the percentage for Population?"
},
{
"Correction": false,
"answer": "27%",
"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 able to find a “Weather” slice or label in this pie chart. The labels appear distorted/garbled (e.g., “Wealattr,” “Wenlsion”). If you can provide the correct label list or a clearer image, I can identify the percentage for Weather.",
"ground_truth_answer": "22.7%",
"question": "What is the percentage for Weather?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “Industry” label or percentage from this chart—the labels appear distorted/garbled. If you can provide the data or a clearer image, I can identify the percentage for Industry.",
"ground_truth_answer": "21.2%",
"question": "What is the percentage for Industry?"
},
{
"Correction": false,
"answer": "I can’t determine it from this chart—the labels are distorted and “Energy” isn’t clearly readable. If you can provide the data or a clearer image, I’ll calculate it.",
"ground_truth_answer": "18.2%",
"question": "What is the percentage for Energy?"
},
{
"Correction": false,
"answer": "I’m not able to find a slice labeled “Population” in this chart. The labels shown are distorted and don’t include “Population,” so I can’t determine its percentage. If you can share a clearer chart or the data, I’ll calculate it.",
"ground_truth_answer": "25.8%",
"question": "What is the percentage for Population?"
},
{
"Correction": false,
"answer": "Finance is 11%.",
"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.
|
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Processed_N/A
|
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Performance Metrics",
"ground_truth_answer": "Performance Metrics in Cognitive Radio Networks",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not sure from this chart—there’s no legend linking “Network Capacity” to a color/segment. If you can tell me which slice corresponds to Network Capacity (e.g., the color or position), I can give you the percentage shown.",
"ground_truth_answer": "42.1%",
"question": "What is the percentage for Network Capacity?"
},
{
"Correction": false,
"answer": "22%",
"ground_truth_answer": "40.0%",
"question": "What is the percentage for Spectrum Efficiency?"
},
{
"Correction": false,
"answer": "22%",
"ground_truth_answer": "17.9%",
"question": "What is the percentage for Latency?"
}
] |
[
{
"Correction": false,
"answer": "3D pie chart",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "I’m not sure—the image doesn’t show a clear title.",
"ground_truth_answer": "Performance Metrics in Cognitive Radio Networks",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "30%",
"ground_truth_answer": "42.1%",
"question": "What is the percentage for Network Capacity?"
},
{
"Correction": false,
"answer": "30%",
"ground_truth_answer": "40.0%",
"question": "What is the percentage for Spectrum Efficiency?"
},
{
"Correction": false,
"answer": "30%",
"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": true,
"answer": "40.9%",
"ground_truth_answer": "42.1%",
"question": "What is the percentage for Network Capacity?"
},
{
"Correction": true,
"answer": "40.9%",
"ground_truth_answer": "40.0%",
"question": "What is the percentage for Spectrum Efficiency?"
},
{
"Correction": false,
"answer": "40.9%",
"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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|
/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": "A pie chart.",
"ground_truth_answer": "Pie Chart",
"question": "What is the chart type of Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "28%",
"ground_truth_answer": "90.5%",
"question": "What is the percentage for Energy Consumption in Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "20%",
"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": "50%",
"ground_truth_answer": "90.5%",
"question": "What is the percentage for Energy Consumption in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "50%",
"ground_truth_answer": "2.9%",
"question": "What is the percentage for Grid Stability in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "50%",
"ground_truth_answer": "6.0%",
"question": "What is the percentage for Battery Storage in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "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": "29.9%",
"ground_truth_answer": "90.5%",
"question": "What is the percentage for Energy Consumption in Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "24.0%",
"ground_truth_answer": "2.0%",
"question": "What is the percentage for Grid Stability in Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "12.0%",
"ground_truth_answer": "1.8%",
"question": "What is the percentage for Battery Storage in Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "28.0%",
"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": "29%",
"ground_truth_answer": "90.5%",
"question": "What is the percentage for Energy Consumption in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "12.0%",
"ground_truth_answer": "2.9%",
"question": "What is the percentage for Grid Stability in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "20%",
"ground_truth_answer": "6.0%",
"question": "What is the percentage for Battery Storage in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "29%",
"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%",
"ground_truth_answer": "90.5%",
"question": "What is the percentage for Energy Consumption in Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "30%",
"ground_truth_answer": "2.0%",
"question": "What is the percentage for Grid Stability in Energy Optimization Metrics (Median)?"
},
{
"Correction": false,
"answer": "20%",
"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": "25%",
"ground_truth_answer": "90.5%",
"question": "What is the percentage for Energy Consumption in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear percentage for “Grid Stability” from the chart image provided—the labels appear distorted. If you can share the exact values or a clearer image, I can calculate or confirm the percentage.",
"ground_truth_answer": "2.9%",
"question": "What is the percentage for Grid Stability in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "25%",
"ground_truth_answer": "6.0%",
"question": "What is the percentage for Battery Storage in Energy Optimization Metrics (Q1)?"
},
{
"Correction": false,
"answer": "About 25%.",
"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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|
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|
Processed_N/A
|
[
{
"Correction": true,
"answer": "A pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "I’m not sure—there’s no visible title shown on the chart.",
"ground_truth_answer": "Proportions of Sustainable Transportation Planning Categories",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to read the labels clearly from the chart. Could you provide a closer or higher‑resolution image, or list the categories and their percentages?",
"ground_truth_answer": "28.6%",
"question": "What is the percentage for Public Transport?"
},
{
"Correction": false,
"answer": "I can’t read the labels clearly from the image provided. Could you share a higher‑resolution version or list the slice labels?",
"ground_truth_answer": "14.3%",
"question": "What is the percentage for Car Sharing?"
},
{
"Correction": false,
"answer": "44%",
"ground_truth_answer": "21.4%",
"question": "What is the percentage for Electric Vehicles?"
},
{
"Correction": false,
"answer": "14%",
"ground_truth_answer": "19.0%",
"question": "What is the percentage for Bicycling?"
},
{
"Correction": false,
"answer": "25%",
"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 Scatter Plot for Suspicious Transportation Planning",
"ground_truth_answer": "Proportions of Sustainable Transportation Planning Categories",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to read the percentages from this pie chart clearly. If you can provide the data labels or a clearer image, I can give you the exact percentage for Public Transport.",
"ground_truth_answer": "28.6%",
"question": "What is the percentage for Public Transport?"
},
{
"Correction": false,
"answer": "I’m not able to read the percentages from that chart image clearly. Could you provide the legend or the text labels for “Car Sharing,” or share a higher‑resolution image?",
"ground_truth_answer": "14.3%",
"question": "What is the percentage for Car Sharing?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “Electric Vehicles” label or percentage from this pie chart image. If you can provide the legend or the exact color/segment that corresponds to Electric Vehicles, I can estimate or confirm the percentage for that slice.",
"ground_truth_answer": "21.4%",
"question": "What is the percentage for Electric Vehicles?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “Bicycling” label or percentage from this image. If you can provide the legend or the color associated with Bicycling, I can estimate it from the slice size, or you could share the underlying data.",
"ground_truth_answer": "19.0%",
"question": "What is the percentage for Bicycling?"
},
{
"Correction": false,
"answer": "I’m not able to read the labels on this chart clearly. If you can provide the legend or the numeric label next to “Walking,” I’ll give you the percentage.",
"ground_truth_answer": "16.7%",
"question": "What is the percentage for Walking?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What type of chart is used?"
},
{
"Correction": false,
"answer": "3D Scatter Plot for Sustainable Transportation Planning",
"ground_truth_answer": "Proportions of Sustainable Transportation Planning Categories",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "11%",
"ground_truth_answer": "28.6%",
"question": "What is the percentage for Public Transport?"
},
{
"Correction": false,
"answer": "9%",
"ground_truth_answer": "14.3%",
"question": "What is the percentage for Car Sharing?"
},
{
"Correction": false,
"answer": "11%",
"ground_truth_answer": "21.4%",
"question": "What is the percentage for Electric Vehicles?"
},
{
"Correction": false,
"answer": "11%",
"ground_truth_answer": "19.0%",
"question": "What is the percentage for Bicycling?"
},
{
"Correction": false,
"answer": "11%",
"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.
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/target_images/0019_convert_category_target.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/output_images/0019_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_hidream_e1/output_img/0019_convert_category_edited.png
|
/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": "I’m not sure—there’s no visible title on the chart.",
"ground_truth_answer": "Distribution of Film Styles based on Median Scores",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to read the text/percentages in the pie chart image clearly. Could you provide the legend or the numeric values shown for “Noir”?",
"ground_truth_answer": "30.3%",
"question": "What is the percentage for the label \"Noir\"?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact text on the chart. If you can provide the labels and values or a clearer image, I can calculate the percentage for “Surrealist.”",
"ground_truth_answer": "24.2%",
"question": "What is the percentage for the label \"Surrealist\"?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact percentages from this image. The labels are too blurred. If you can provide the values or a clearer image, I can calculate it.",
"ground_truth_answer": "25.3%",
"question": "What is the percentage for the label \"Cyberpunk\"?"
},
{
"Correction": false,
"answer": "I’m not able to read the exact text on this chart image. If you can provide the data values or a clearer image, I can compute the percentage for “Avant-Garde.”",
"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": "Distribution of Film Styles",
"ground_truth_answer": "Distribution of Film Styles based on Median Scores",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "24%",
"ground_truth_answer": "30.3%",
"question": "What is the percentage for the label \"Noir\"?"
},
{
"Correction": true,
"answer": "24%",
"ground_truth_answer": "24.2%",
"question": "What is the percentage for the label \"Surrealist\"?"
},
{
"Correction": false,
"answer": "55%",
"ground_truth_answer": "25.3%",
"question": "What is the percentage for the label \"Cyberpunk\"?"
},
{
"Correction": false,
"answer": "34%",
"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": "Distribution of Film Styles based on Medion Scores",
"ground_truth_answer": "Distribution of Film Styles based on Median Scores",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I can’t determine a “Noir” percentage from this chart—the visible labels show 30.3% and 24.2%, and the legends mention “Avant-Garde” and “Cyberpallal,” but “Noir” isn’t shown.",
"ground_truth_answer": "30.3%",
"question": "What is the percentage for the label \"Noir\"?"
},
{
"Correction": false,
"answer": "I can’t find a “Surrealist” label in this chart, so its percentage isn’t shown.",
"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": true,
"answer": "20%",
"ground_truth_answer": "20.2%",
"question": "What is the percentage for the label \"Avant-Garde\"?"
}
] |
|||||
20 |
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/input_images/0020_convert_category_source.png
|
convert_category
|
[
{
"answer": "Pie chart",
"content": "edit",
"question": "What is the chart type?"
},
{
"answer": "Proportional Distribution of Outlier Metrics for Social Media Platforms",
"content": "edit",
"question": "What is the title of the chart?"
},
{
"answer": "30.8%",
"content": "maintain",
"question": "What percentage does Snapchat represent?"
},
{
"answer": "29.2%",
"content": "maintain",
"question": "What percentage does LinkedIn represent?"
},
{
"answer": "16.9%",
"content": "maintain",
"question": "What percentage does Telegram represent?"
},
{
"answer": "13.8%",
"content": "maintain",
"question": "What percentage does Reddit represent?"
},
{
"answer": "9.2%",
"content": "maintain",
"question": "What percentage does Pinterest represent?"
}
] |
Edit instruction: Change from a scatter plot displaying data points in a coordinate grid to a pie chart illustrating proportional sections with labels and percentages representing the distribution of outlier metrics. Source image description: Source shows a Cartesian scatter plot: x- and y-axes with ticks and gridlines; numerous individual point markers (varied colors/shapes) dispersed across the plane; a legend tying colors to categories; a title; ample margins around the plotting area. Edit explanation: Replace the scatter plotting area with a pie chart. Remove axes, ticks, gridlines, and point markers; discard or adapt the legend. Aggregate outlier metrics by category, convert to percentages summing to 100%, and map each category to a distinct color. Draw a centered pie with slices sized by these percentages; place category labels and percentage text (use leader lines for thin slices); ensure high-contrast text, consistent font, and updated title reflecting distribution of outlier metrics. Generated image description: Final image presents a clean, centered pie chart occupying most of the canvas, composed of color-distinct slices proportional to each category’s share of outlier metrics. Each slice is clearly labeled with its category name and percentage, with leader lines where needed; no axes or gridlines remain. The title reads a distribution-focused caption (e.g., “Proportional Distribution of Outlier Metrics”), yielding a concise, legible summary of the data.
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/target_images/0020_convert_category_target.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_bagel_nothink/output_images/0020_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_hidream_e1/output_img/0020_convert_category_edited.png
|
/mnt/shared-storage-user/puyuandong/glv/PhysEdit/results/EditEdit_results/ChartEditBenchV2_cot_qwenedit/output_img/0020_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": "I’m not sure—the image is too blurry to read the chart’s title. Could you provide a clearer image or the text?",
"ground_truth_answer": "Proportional Distribution of Outlier Metrics for Social Media Platforms",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to read the labels on the pie chart clearly. Could you provide a sharper image or the legend? Then I can tell you what percentage corresponds to Snapchat.",
"ground_truth_answer": "30.8%",
"question": "What percentage does Snapchat represent?"
},
{
"Correction": false,
"answer": "Sorry—I can’t read the numbers or labels on that chart clearly enough to tell what percentage LinkedIn represents. If you can share a clearer image or the legend values, I can help you calculate it.",
"ground_truth_answer": "29.2%",
"question": "What percentage does LinkedIn represent?"
},
{
"Correction": false,
"answer": "I’m not sure from this image. The chart is too blurry to read the labels or percentages, so I can’t determine what portion corresponds to Telegram. If you can provide a clearer image or the data, I’ll calculate it.",
"ground_truth_answer": "16.9%",
"question": "What percentage does Telegram represent?"
},
{
"Correction": false,
"answer": "I can’t tell from this image. The labels are too blurry to read, so I can’t determine Reddit’s percentage. If you can share a clearer image or the data values, I’ll calculate it.",
"ground_truth_answer": "13.8%",
"question": "What percentage does Reddit represent?"
},
{
"Correction": false,
"answer": "I’m not able to read the numbers on that pie chart clearly. If you can provide a sharper image or the legend/labels, I can calculate the percentage for Pinterest.",
"ground_truth_answer": "9.2%",
"question": "What percentage does Pinterest represent?"
}
] |
[
{
"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 of the chart is unclear and unreadable.",
"ground_truth_answer": "Proportional Distribution of Outlier Metrics for Social Media Platforms",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not sure. The labels in the chart are too unclear to read. Could you provide a clearer image or the data labels for each slice?",
"ground_truth_answer": "30.8%",
"question": "What percentage does Snapchat represent?"
},
{
"Correction": false,
"answer": "I’m not able to read a clear “LinkedIn” slice or percentage from this chart image. If you can point out which color/segment corresponds to LinkedIn or provide the legend text, I can estimate the percentage for that slice.",
"ground_truth_answer": "29.2%",
"question": "What percentage does LinkedIn represent?"
},
{
"Correction": false,
"answer": "I’m not sure from this image. The pie-slice labels are hard to read, so I can’t determine Telegram’s percentage. If you can provide the legend mapping colors to platforms or a clearer image, I’ll calculate it.",
"ground_truth_answer": "16.9%",
"question": "What percentage does Telegram represent?"
},
{
"Correction": false,
"answer": "I’m not able to read the chart’s labels clearly enough to find Reddit’s slice. Could you provide the legend or a clearer image, or tell me which color corresponds to Reddit?",
"ground_truth_answer": "13.8%",
"question": "What percentage does Reddit represent?"
},
{
"Correction": false,
"answer": "I can’t clearly read the labels on the pie chart image, so I’m not able to determine Pinterest’s exact percentage. If you can provide a clearer image or the legend/label values, I’ll calculate it for you.",
"ground_truth_answer": "9.2%",
"question": "What percentage does Pinterest represent?"
}
] |
[
{
"Correction": true,
"answer": "Pie chart.",
"ground_truth_answer": "Pie chart",
"question": "What is the chart type?"
},
{
"Correction": false,
"answer": "Stoportional Distribution Fletoity",
"ground_truth_answer": "Proportional Distribution of Outlier Metrics for Social Media Platforms",
"question": "What is the title of the chart?"
},
{
"Correction": false,
"answer": "I’m not able to tell from this chart. The labels are garbled and don’t clearly show which slice corresponds to Snapchat or its percentage. If you can provide the legend or the numeric values, I can calculate it.",
"ground_truth_answer": "30.8%",
"question": "What percentage does Snapchat represent?"
},
{
"Correction": false,
"answer": "I can’t determine the exact percentage for LinkedIn from this image—the labels are garbled and don’t clearly identify which slice corresponds to LinkedIn. If you can share the legend or the data values, I’ll calculate it.",
"ground_truth_answer": "29.2%",
"question": "What percentage does LinkedIn represent?"
},
{
"Correction": false,
"answer": "I can’t determine which slice corresponds to Telegram from this chart—the labels are unclear. If you can specify the color for Telegram or provide the legend, I can estimate or compute the percentage.",
"ground_truth_answer": "16.9%",
"question": "What percentage does Telegram represent?"
},
{
"Correction": false,
"answer": "I’m not able to tell from this chart. The labels are garbled and don’t clearly indicate which slice corresponds to Reddit or its percentage. If you can provide a clearer chart or the legend values, I can calculate it.",
"ground_truth_answer": "13.8%",
"question": "What percentage does Reddit represent?"
},
{
"Correction": false,
"answer": "I can’t determine that from this chart—the labels are garbled and don’t indicate which slice is Pinterest or its percentage. If you can share the legend or the data values, I’ll calculate it.",
"ground_truth_answer": "9.2%",
"question": "What percentage does Pinterest represent?"
}
] |
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