custom_id string | question_categories list | question string | ground_truth string | media_path list | media_type string | media_folder string | media_source string |
|---|---|---|---|---|---|---|---|
33be316d-ea6e-4d8a-a6c5-2818aed984ad | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/33be316d-ea6e-4d8a-a6c5-2818aed984ad/ | UnityCapturesDataset |
fb55a0a2-8f1f-4542-b543-f7608b105c2d | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/fb55a0a2-8f1f-4542-b543-f7608b105c2d/ | UnityCapturesDataset |
24719856-22ed-434f-9d44-b1fb53657bde | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/24719856-22ed-434f-9d44-b1fb53657bde/ | UnityCapturesDataset |
9931d92c-fc4d-441e-a39b-a9a1d9a3427f | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/9931d92c-fc4d-441e-a39b-a9a1d9a3427f/ | UnityCapturesDataset |
27c0992b-dbb6-422d-af65-8b107b8dbd59 | [
"VisualRegression",
"Cutscene"
] | You are a visual regression testing system for video game frames. Your task is to compare two versions of the same scene to determine if the second image maintains the core visual integrity of the first.
ACCEPTABLE DIFFERENCES:
- Character customization (clothing, hair, accessories)
- Minor position adjustments
- Weather conditions (rain, snow, clear, etc.)
- Time of day and lighting changes (day/night)
- Subtle animation differences
UNACCEPTABLE DIFFERENCES:
- Missing or corrupt UI elements
- Graphical glitches or artifacts
- Major scene composition changes
- Background environment structure differences
Analyze both images carefully and respond with a JSON object:
{
"reasoning": "Brief explanation of your analysis and decision",
"test_pass": true/false
}
Where "test_pass" is true if the differences are acceptable and false if unacceptable differences are detected. | {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/27c0992b-dbb6-422d-af65-8b107b8dbd59/ | Youtube-Cutscene |
2b527a6b-83af-4208-9e7a-19a810a64a4a | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/2b527a6b-83af-4208-9e7a-19a810a64a4a/ | UnityCapturesDataset |
92f33701-019f-41f3-b9ce-cb1963353d89 | [
"VisualRegression",
"Cutscene"
] | You are a visual regression testing system for video game frames. Your task is to compare two versions of the same scene to determine if the second image maintains the core visual integrity of the first.
ACCEPTABLE DIFFERENCES:
- Character customization (clothing, hair, accessories)
- Minor position adjustments
- Weather conditions (rain, snow, clear, etc.)
- Time of day and lighting changes (day/night)
- Subtle animation differences
UNACCEPTABLE DIFFERENCES:
- Missing or corrupt UI elements
- Graphical glitches or artifacts
- Major scene composition changes
- Background environment structure differences
Analyze both images carefully and respond with a JSON object:
{
"reasoning": "Brief explanation of your analysis and decision",
"test_pass": true/false
}
Where "test_pass" is true if the differences are acceptable and false if unacceptable differences are detected. | {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/92f33701-019f-41f3-b9ce-cb1963353d89/ | Youtube-Cutscene |
db939016-77cd-4c2a-ae91-5bfbda214732 | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/db939016-77cd-4c2a-ae91-5bfbda214732/ | UnityCapturesDataset |
dbcf59db-7697-4f25-8664-f22002805d49 | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/dbcf59db-7697-4f25-8664-f22002805d49/ | UnityCapturesDataset |
7ecc14ec-52d5-41f8-a62d-1429bce23007 | [
"VisualRegression",
"Cutscene"
] | You are a visual regression testing system for video game frames. Your task is to compare two versions of the same scene to determine if the second image maintains the core visual integrity of the first.
ACCEPTABLE DIFFERENCES:
- Character customization (clothing, hair, accessories)
- Minor position adjustments
- Weather conditions (rain, snow, clear, etc.)
- Time of day and lighting changes (day/night)
- Subtle animation differences
UNACCEPTABLE DIFFERENCES:
- Missing or corrupt UI elements
- Graphical glitches or artifacts
- Major scene composition changes
- Background environment structure differences
Analyze both images carefully and respond with a JSON object:
{
"reasoning": "Brief explanation of your analysis and decision",
"test_pass": true/false
}
Where "test_pass" is true if the differences are acceptable and false if unacceptable differences are detected. | {"test_pass": true} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/7ecc14ec-52d5-41f8-a62d-1429bce23007/ | Youtube-Cutscene |
6b2a22db-8516-45d0-bb65-bf4bd38de8ee | [
"VisualRegression",
"Cutscene"
] | You are a visual regression testing system for video game frames. Your task is to compare two versions of the same scene to determine if the second image maintains the core visual integrity of the first.
ACCEPTABLE DIFFERENCES:
- Character customization (clothing, hair, accessories)
- Minor position adjustments
- Weather conditions (rain, snow, clear, etc.)
- Time of day and lighting changes (day/night)
- Subtle animation differences
UNACCEPTABLE DIFFERENCES:
- Missing or corrupt UI elements
- Graphical glitches or artifacts
- Major scene composition changes
- Background environment structure differences
Analyze both images carefully and respond with a JSON object:
{
"reasoning": "Brief explanation of your analysis and decision",
"test_pass": true/false
}
Where "test_pass" is true if the differences are acceptable and false if unacceptable differences are detected. | {"test_pass": true} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/6b2a22db-8516-45d0-bb65-bf4bd38de8ee/ | Youtube-Cutscene |
1c0cb85f-7dd1-4ef3-b01b-bbd1a300f696 | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/1c0cb85f-7dd1-4ef3-b01b-bbd1a300f696/ | UnityCapturesDataset |
f9945091-f33f-46b2-b110-66441d5a39e9 | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/f9945091-f33f-46b2-b110-66441d5a39e9/ | UnityCapturesDataset |
115eddb0-d0d7-43fc-a1a6-7d9ff5603893 | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/115eddb0-d0d7-43fc-a1a6-7d9ff5603893/ | UnityCapturesDataset |
db2c01fa-d8a8-43a2-996d-34a6707cbf87 | [
"VisualRegression",
"Cutscene"
] | You are a visual regression testing system for video game frames. Your task is to compare two versions of the same scene to determine if the second image maintains the core visual integrity of the first.
ACCEPTABLE DIFFERENCES:
- Character customization (clothing, hair, accessories)
- Minor position adjustments
- Weather conditions (rain, snow, clear, etc.)
- Time of day and lighting changes (day/night)
- Subtle animation differences
UNACCEPTABLE DIFFERENCES:
- Missing or corrupt UI elements
- Graphical glitches or artifacts
- Major scene composition changes
- Background environment structure differences
Analyze both images carefully and respond with a JSON object:
{
"reasoning": "Brief explanation of your analysis and decision",
"test_pass": true/false
}
Where "test_pass" is true if the differences are acceptable and false if unacceptable differences are detected. | {"test_pass": true} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/db2c01fa-d8a8-43a2-996d-34a6707cbf87/ | Youtube-Cutscene |
8ffb2788-0ba7-4dbc-9b24-cb71ce1e3fa0 | [
"VisualRegression",
"Cutscene"
] | You are a visual regression testing system for video game frames. Your task is to compare two versions of the same scene to determine if the second image maintains the core visual integrity of the first.
ACCEPTABLE DIFFERENCES:
- Character customization (clothing, hair, accessories)
- Minor position adjustments
- Weather conditions (rain, snow, clear, etc.)
- Time of day and lighting changes (day/night)
- Subtle animation differences
UNACCEPTABLE DIFFERENCES:
- Missing or corrupt UI elements
- Graphical glitches or artifacts
- Major scene composition changes
- Background environment structure differences
Analyze both images carefully and respond with a JSON object:
{
"reasoning": "Brief explanation of your analysis and decision",
"test_pass": true/false
}
Where "test_pass" is true if the differences are acceptable and false if unacceptable differences are detected. | {"test_pass": true} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/8ffb2788-0ba7-4dbc-9b24-cb71ce1e3fa0/ | Youtube-Cutscene |
1336094f-8bef-48c0-8c3a-01a93be0bd2a | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/1336094f-8bef-48c0-8c3a-01a93be0bd2a/ | UnityCapturesDataset |
a5a6b83e-5afb-422f-bae3-7518302099c3 | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/a5a6b83e-5afb-422f-bae3-7518302099c3/ | UnityCapturesDataset |
d32a7e93-1c31-4565-b28b-a270e48a0e60 | [
"VisualRegression",
"Cutscene"
] | You are a visual regression testing system for video game frames. Your task is to compare two versions of the same scene to determine if the second image maintains the core visual integrity of the first.
ACCEPTABLE DIFFERENCES:
- Character customization (clothing, hair, accessories)
- Minor position adjustments
- Weather conditions (rain, snow, clear, etc.)
- Time of day and lighting changes (day/night)
- Subtle animation differences
UNACCEPTABLE DIFFERENCES:
- Missing or corrupt UI elements
- Graphical glitches or artifacts
- Major scene composition changes
- Background environment structure differences
Analyze both images carefully and respond with a JSON object:
{
"reasoning": "Brief explanation of your analysis and decision",
"test_pass": true/false
}
Where "test_pass" is true if the differences are acceptable and false if unacceptable differences are detected. | {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/d32a7e93-1c31-4565-b28b-a270e48a0e60/ | Youtube-Cutscene |
c6c82404-6012-4b7f-8d88-31cfbb1cdff8 | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/c6c82404-6012-4b7f-8d88-31cfbb1cdff8/ | UnityCapturesDataset |
b5647b43-3ada-4f0d-832d-4c33fd75642a | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/b5647b43-3ada-4f0d-832d-4c33fd75642a/ | UnityCapturesDataset |
2873f684-5c64-45a8-97fa-64e011faccd4 | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/2873f684-5c64-45a8-97fa-64e011faccd4/ | UnityCapturesDataset |
8b42f5ed-cbc5-465f-a06f-f9e4ef744c1d | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/8b42f5ed-cbc5-465f-a06f-f9e4ef744c1d/ | UnityCapturesDataset |
7152a466-e00f-42e1-b446-d5257ea941d0 | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/7152a466-e00f-42e1-b446-d5257ea941d0/ | UnityCapturesDataset |
60eea090-5ed5-4049-9c11-1f82595101b8 | [
"VisualRegression",
"Cutscene"
] | You are a visual regression testing system for video game frames. Your task is to compare two versions of the same scene to determine if the second image maintains the core visual integrity of the first.
ACCEPTABLE DIFFERENCES:
- Character customization (clothing, hair, accessories)
- Minor position adjustments
- Weather conditions (rain, snow, clear, etc.)
- Time of day and lighting changes (day/night)
- Subtle animation differences
UNACCEPTABLE DIFFERENCES:
- Missing or corrupt UI elements
- Graphical glitches or artifacts
- Major scene composition changes
- Background environment structure differences
Analyze both images carefully and respond with a JSON object:
{
"reasoning": "Brief explanation of your analysis and decision",
"test_pass": true/false
}
Where "test_pass" is true if the differences are acceptable and false if unacceptable differences are detected. | {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/60eea090-5ed5-4049-9c11-1f82595101b8/ | Youtube-Cutscene |
2318d9cd-fc79-4f01-ae1e-d82bdc2ca017 | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/2318d9cd-fc79-4f01-ae1e-d82bdc2ca017/ | UnityCapturesDataset |
9fcd2f66-7ee7-4fc6-836f-2e3f636855ff | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/9fcd2f66-7ee7-4fc6-836f-2e3f636855ff/ | UnityCapturesDataset |
2ada9903-4cab-4114-99f9-5e71ad09cf82 | [
"VisualRegression",
"Cutscene"
] | You are a visual regression testing system for video game frames. Your task is to compare two versions of the same scene to determine if the second image maintains the core visual integrity of the first.
ACCEPTABLE DIFFERENCES:
- Character customization (clothing, hair, accessories)
- Minor position adjustments
- Weather conditions (rain, snow, clear, etc.)
- Time of day and lighting changes (day/night)
- Subtle animation differences
UNACCEPTABLE DIFFERENCES:
- Missing or corrupt UI elements
- Graphical glitches or artifacts
- Major scene composition changes
- Background environment structure differences
Analyze both images carefully and respond with a JSON object:
{
"reasoning": "Brief explanation of your analysis and decision",
"test_pass": true/false
}
Where "test_pass" is true if the differences are acceptable and false if unacceptable differences are detected. | {"test_pass": true} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/2ada9903-4cab-4114-99f9-5e71ad09cf82/ | Youtube-Cutscene |
854c57cf-0777-4a42-a3ad-608fc7988821 | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/854c57cf-0777-4a42-a3ad-608fc7988821/ | UnityCapturesDataset |
18d691bf-ea4b-4313-a815-58d2a05c4626 | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/18d691bf-ea4b-4313-a815-58d2a05c4626/ | UnityCapturesDataset |
e4433c86-6e47-4c81-a1a3-567c3c94d113 | [
"VisualRegression",
"Cutscene"
] | You are a visual regression testing system for video game frames. Your task is to compare two versions of the same scene to determine if the second image maintains the core visual integrity of the first.
ACCEPTABLE DIFFERENCES:
- Character customization (clothing, hair, accessories)
- Minor position adjustments
- Weather conditions (rain, snow, clear, etc.)
- Time of day and lighting changes (day/night)
- Subtle animation differences
UNACCEPTABLE DIFFERENCES:
- Missing or corrupt UI elements
- Graphical glitches or artifacts
- Major scene composition changes
- Background environment structure differences
Analyze both images carefully and respond with a JSON object:
{
"reasoning": "Brief explanation of your analysis and decision",
"test_pass": true/false
}
Where "test_pass" is true if the differences are acceptable and false if unacceptable differences are detected. | {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/e4433c86-6e47-4c81-a1a3-567c3c94d113/ | Youtube-Cutscene |
f2e2a3fe-b8d0-4687-97b2-b667a39769cc | [
"VisualRegression",
"Cutscene"
] | You are a visual regression testing system for video game frames. Your task is to compare two versions of the same scene to determine if the second image maintains the core visual integrity of the first.
ACCEPTABLE DIFFERENCES:
- Character customization (clothing, hair, accessories)
- Minor position adjustments
- Weather conditions (rain, snow, clear, etc.)
- Time of day and lighting changes (day/night)
- Subtle animation differences
UNACCEPTABLE DIFFERENCES:
- Missing or corrupt UI elements
- Graphical glitches or artifacts
- Major scene composition changes
- Background environment structure differences
Analyze both images carefully and respond with a JSON object:
{
"reasoning": "Brief explanation of your analysis and decision",
"test_pass": true/false
}
Where "test_pass" is true if the differences are acceptable and false if unacceptable differences are detected. | {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/f2e2a3fe-b8d0-4687-97b2-b667a39769cc/ | Youtube-Cutscene |
330651ed-d1f5-485f-8d49-432029c3d0d6 | [
"VisualRegression",
"Cutscene"
] | You are a visual regression testing system for video game frames. Your task is to compare two versions of the same scene to determine if the second image maintains the core visual integrity of the first.
ACCEPTABLE DIFFERENCES:
- Character customization (clothing, hair, accessories)
- Minor position adjustments
- Weather conditions (rain, snow, clear, etc.)
- Time of day and lighting changes (day/night)
- Subtle animation differences
UNACCEPTABLE DIFFERENCES:
- Missing or corrupt UI elements
- Graphical glitches or artifacts
- Major scene composition changes
- Background environment structure differences
Analyze both images carefully and respond with a JSON object:
{
"reasoning": "Brief explanation of your analysis and decision",
"test_pass": true/false
}
Where "test_pass" is true if the differences are acceptable and false if unacceptable differences are detected. | {"test_pass": true} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/330651ed-d1f5-485f-8d49-432029c3d0d6/ | Youtube-Cutscene |
3fb73143-85a9-4a41-9e79-30484f0d542b | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/3fb73143-85a9-4a41-9e79-30484f0d542b/ | UnityCapturesDataset |
c0c9c092-6dd0-4009-a298-a5275709140b | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/c0c9c092-6dd0-4009-a298-a5275709140b/ | UnityCapturesDataset |
3b45810c-8c58-441d-a51e-a3d05d43c90c | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/3b45810c-8c58-441d-a51e-a3d05d43c90c/ | UnityCapturesDataset |
7e253ebf-9dc9-4d9b-bc92-20584e38c9d7 | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/7e253ebf-9dc9-4d9b-bc92-20584e38c9d7/ | UnityCapturesDataset |
3a035ade-10e1-4fa3-985e-94418591fe9a | [
"VisualRegression",
"Cutscene"
] | You are a visual regression testing system for video game frames. Your task is to compare two versions of the same scene to determine if the second image maintains the core visual integrity of the first.
ACCEPTABLE DIFFERENCES:
- Character customization (clothing, hair, accessories)
- Minor position adjustments
- Weather conditions (rain, snow, clear, etc.)
- Time of day and lighting changes (day/night)
- Subtle animation differences
UNACCEPTABLE DIFFERENCES:
- Missing or corrupt UI elements
- Graphical glitches or artifacts
- Major scene composition changes
- Background environment structure differences
Analyze both images carefully and respond with a JSON object:
{
"reasoning": "Brief explanation of your analysis and decision",
"test_pass": true/false
}
Where "test_pass" is true if the differences are acceptable and false if unacceptable differences are detected. | {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/3a035ade-10e1-4fa3-985e-94418591fe9a/ | Youtube-Cutscene |
ab7571c7-2e87-4453-935e-5a4618b2a852 | [
"VisualRegression",
"Cutscene"
] | You are a visual regression testing system for video game frames. Your task is to compare two versions of the same scene to determine if the second image maintains the core visual integrity of the first.
ACCEPTABLE DIFFERENCES:
- Character customization (clothing, hair, accessories)
- Minor position adjustments
- Weather conditions (rain, snow, clear, etc.)
- Time of day and lighting changes (day/night)
- Subtle animation differences
UNACCEPTABLE DIFFERENCES:
- Missing or corrupt UI elements
- Graphical glitches or artifacts
- Major scene composition changes
- Background environment structure differences
Analyze both images carefully and respond with a JSON object:
{
"reasoning": "Brief explanation of your analysis and decision",
"test_pass": true/false
}
Where "test_pass" is true if the differences are acceptable and false if unacceptable differences are detected. | {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/ab7571c7-2e87-4453-935e-5a4618b2a852/ | Youtube-Cutscene |
dcbce9fb-47bc-44ba-a2f3-df2d33e5eb7c | [
"VisualRegression",
"Cutscene"
] | You are a visual regression testing system for video game frames. Your task is to compare two versions of the same scene to determine if the second image maintains the core visual integrity of the first.
ACCEPTABLE DIFFERENCES:
- Character customization (clothing, hair, accessories)
- Minor position adjustments
- Weather conditions (rain, snow, clear, etc.)
- Time of day and lighting changes (day/night)
- Subtle animation differences
UNACCEPTABLE DIFFERENCES:
- Missing or corrupt UI elements
- Graphical glitches or artifacts
- Major scene composition changes
- Background environment structure differences
Analyze both images carefully and respond with a JSON object:
{
"reasoning": "Brief explanation of your analysis and decision",
"test_pass": true/false
}
Where "test_pass" is true if the differences are acceptable and false if unacceptable differences are detected. | {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/dcbce9fb-47bc-44ba-a2f3-df2d33e5eb7c/ | Youtube-Cutscene |
92367c69-b92f-448d-a8d2-29e80685b91f | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/92367c69-b92f-448d-a8d2-29e80685b91f/ | UnityCapturesDataset |
bca179c2-a6c8-4f66-b4a1-c6153af2fb61 | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/bca179c2-a6c8-4f66-b4a1-c6153af2fb61/ | UnityCapturesDataset |
df0d5ba6-66b4-4e97-bf1f-587e8b2acec2 | [
"VisualRegression",
"Cutscene"
] | You are a visual regression testing system for video game frames. Your task is to compare two versions of the same scene to determine if the second image maintains the core visual integrity of the first.
ACCEPTABLE DIFFERENCES:
- Character customization (clothing, hair, accessories)
- Minor position adjustments
- Weather conditions (rain, snow, clear, etc.)
- Time of day and lighting changes (day/night)
- Subtle animation differences
UNACCEPTABLE DIFFERENCES:
- Missing or corrupt UI elements
- Graphical glitches or artifacts
- Major scene composition changes
- Background environment structure differences
Analyze both images carefully and respond with a JSON object:
{
"reasoning": "Brief explanation of your analysis and decision",
"test_pass": true/false
}
Where "test_pass" is true if the differences are acceptable and false if unacceptable differences are detected. | {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/df0d5ba6-66b4-4e97-bf1f-587e8b2acec2/ | Youtube-Cutscene |
ca9c571d-9472-4725-a7dd-cbd2b0459d76 | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/ca9c571d-9472-4725-a7dd-cbd2b0459d76/ | UnityCapturesDataset |
2b7c89ca-50bd-4e96-a0cc-53cfbc681886 | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/2b7c89ca-50bd-4e96-a0cc-53cfbc681886/ | UnityCapturesDataset |
bd258b51-a3f4-46a0-9967-f38031622312 | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/bd258b51-a3f4-46a0-9967-f38031622312/ | UnityCapturesDataset |
57f31a6f-8199-4289-9360-58d60a8ef8a9 | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/57f31a6f-8199-4289-9360-58d60a8ef8a9/ | UnityCapturesDataset |
0a567c38-1c8a-4770-a92c-3ed3e018623b | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/0a567c38-1c8a-4770-a92c-3ed3e018623b/ | UnityCapturesDataset |
c105641d-1e6a-44ed-ade4-aac2a9d89a9c | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/c105641d-1e6a-44ed-ade4-aac2a9d89a9c/ | UnityCapturesDataset |
45d60896-0f25-4958-86b6-c44f50afc20e | [
"Unity",
"VisualRegression"
] | You are an image comparison tool for video game quality assurance. Given two screenshots from the same game scene, evaluate whether the second image represents an acceptable variation of the first (reference) image.
Consider these variations ACCEPTABLE:
- Player character customization elements
- Environmental conditions (weather, day/night cycle)
- Slight positional or animation differences
- Lighting and shadow adjustments
- Minor variations in non-critical background elements
Consider these variations UNACCEPTABLE:
- Interface corruption or element misalignment
- Textual content changes (unless expected, e.g., dynamic text)
- Significant visual artifacts or rendering errors (e.g., missing textures, z-fighting)
- Major structural changes to scene geometry not attributable to gameplay state
- Missing or grossly incorrect key scene elements compared to the reference
Provide your assessment as JSON:
{
"reasoning": "Concise explanation of detected differences and justification for your decision based on the criteria.",
"test_pass": true/false
}
| {"test_pass": false} | [
"question_images_0.jpg",
"question_images_1.jpg"
] | images | ./image/45d60896-0f25-4958-86b6-c44f50afc20e/ | UnityCapturesDataset |
sphere_Kam2-samples__f0064__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white sphere is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/sphere_Kam2-samples__f0064__lbl1/ | Unity-SphereIntersection |
sphere_Kam2-samples__f0099__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white sphere is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/sphere_Kam2-samples__f0099__lbl1/ | Unity-SphereIntersection |
quadbehind_Kam1-samples__f0059__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of a white quad is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/quadbehind_Kam1-samples__f0059__lbl0/ | Unity-quadIntersection |
cube_Kam1-samples__f0044__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white cube is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/cube_Kam1-samples__f0044__lbl1/ | Unity-cubeIntersection |
human_Kam1-samples__f0093__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the two characters is intersecting with each other, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/human_Kam1-samples__f0093__lbl1/ | Unity-humanIntersection |
cube_Kam2-samples__f0088__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white cube is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/cube_Kam2-samples__f0088__lbl1/ | Unity-cubeIntersection |
sphere_Kam1-samples__f0055__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white sphere is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/sphere_Kam1-samples__f0055__lbl1/ | Unity-SphereIntersection |
cube_Kam2-samples__f0075__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white cube is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/cube_Kam2-samples__f0075__lbl1/ | Unity-cubeIntersection |
sphere_Kam1-samples__f0095__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white sphere is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/sphere_Kam1-samples__f0095__lbl1/ | Unity-SphereIntersection |
cube_Kam2-samples__f0048__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white cube is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/cube_Kam2-samples__f0048__lbl1/ | Unity-cubeIntersection |
sphere_Kam1-samples__f0036__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white sphere is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/sphere_Kam1-samples__f0036__lbl0/ | Unity-SphereIntersection |
human_Kam1-samples__f0053__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the two characters is intersecting with each other, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/human_Kam1-samples__f0053__lbl1/ | Unity-humanIntersection |
sphere_Kam1-samples__f0068__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white sphere is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/sphere_Kam1-samples__f0068__lbl1/ | Unity-SphereIntersection |
cube_Kam2-samples__f0016__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white cube is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/cube_Kam2-samples__f0016__lbl0/ | Unity-cubeIntersection |
quadbehind_Kam1-samples__f0082__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of a white quad is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/quadbehind_Kam1-samples__f0082__lbl1/ | Unity-quadIntersection |
sphere_Kam2-samples__f0007__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white sphere is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/sphere_Kam2-samples__f0007__lbl0/ | Unity-SphereIntersection |
quadbehind_Kam1-samples__f0021__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of a white quad is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/quadbehind_Kam1-samples__f0021__lbl0/ | Unity-quadIntersection |
cube_Kam1-samples__f0079__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white cube is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/cube_Kam1-samples__f0079__lbl1/ | Unity-cubeIntersection |
quadbehind_Kam1-samples__f0064__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of a white quad is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/quadbehind_Kam1-samples__f0064__lbl0/ | Unity-quadIntersection |
quad_Kam1-samples__f0078__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white plane is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/quad_Kam1-samples__f0078__lbl1/ | Unity-quadIntersection |
quad_Kam1-samples__f0085__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white plane is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/quad_Kam1-samples__f0085__lbl1/ | Unity-quadIntersection |
cube_Kam1-samples__f0084__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white cube is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/cube_Kam1-samples__f0084__lbl1/ | Unity-cubeIntersection |
quad_Kam1-samples__f0026__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white plane is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/quad_Kam1-samples__f0026__lbl0/ | Unity-quadIntersection |
cube_Kam1-samples__f0027__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white cube is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/cube_Kam1-samples__f0027__lbl0/ | Unity-cubeIntersection |
sphere_Kam2-samples__f0059__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white sphere is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/sphere_Kam2-samples__f0059__lbl1/ | Unity-SphereIntersection |
cube_Kam2-samples__f0091__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white cube is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/cube_Kam2-samples__f0091__lbl1/ | Unity-cubeIntersection |
cube_Kam2-samples__f0032__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white cube is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/cube_Kam2-samples__f0032__lbl0/ | Unity-cubeIntersection |
human_Kam1-samples__f0029__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the two characters is intersecting with each other, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/human_Kam1-samples__f0029__lbl0/ | Unity-humanIntersection |
human_Kam1-samples__f0077__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the two characters is intersecting with each other, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/human_Kam1-samples__f0077__lbl1/ | Unity-humanIntersection |
human_Kam1-samples__f0032__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the two characters is intersecting with each other, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/human_Kam1-samples__f0032__lbl1/ | Unity-humanIntersection |
sphere_Kam1-samples__f0012__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white sphere is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/sphere_Kam1-samples__f0012__lbl0/ | Unity-SphereIntersection |
quad_Kam1-samples__f0002__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white plane is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/quad_Kam1-samples__f0002__lbl0/ | Unity-quadIntersection |
cube_Kam1-samples__f0003__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white cube is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/cube_Kam1-samples__f0003__lbl0/ | Unity-cubeIntersection |
quad_Kam1-samples__f0047__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white plane is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/quad_Kam1-samples__f0047__lbl0/ | Unity-quadIntersection |
sphere_Kam2-samples__f0080__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white sphere is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/sphere_Kam2-samples__f0080__lbl1/ | Unity-SphereIntersection |
sphere_Kam2-samples__f0023__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white sphere is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/sphere_Kam2-samples__f0023__lbl0/ | Unity-SphereIntersection |
quadbehind_Kam1-samples__f0005__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of a white quad is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/quadbehind_Kam1-samples__f0005__lbl0/ | Unity-quadIntersection |
quadbehind_Kam1-samples__f0040__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of a white quad is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/quadbehind_Kam1-samples__f0040__lbl0/ | Unity-quadIntersection |
quad_Kam1-samples__f0061__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white plane is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/quad_Kam1-samples__f0061__lbl1/ | Unity-quadIntersection |
cube_Kam1-samples__f0060__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white cube is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/cube_Kam1-samples__f0060__lbl1/ | Unity-cubeIntersection |
quadbehind_Kam1-samples__f0038__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of a white quad is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/quadbehind_Kam1-samples__f0038__lbl0/ | Unity-quadIntersection |
cube_Kam2-samples__f0051__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white cube is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/cube_Kam2-samples__f0051__lbl1/ | Unity-cubeIntersection |
sphere_Kam1-samples__f0071__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white sphere is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/sphere_Kam1-samples__f0071__lbl1/ | Unity-SphereIntersection |
human_Kam1-samples__f0014__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the two characters is intersecting with each other, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/human_Kam1-samples__f0014__lbl0/ | Unity-humanIntersection |
sphere_Kam2-samples__f0042__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white sphere is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/sphere_Kam2-samples__f0042__lbl1/ | Unity-SphereIntersection |
quadbehind_Kam1-samples__f0099__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of a white quad is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/quadbehind_Kam1-samples__f0099__lbl1/ | Unity-quadIntersection |
quad_Kam1-samples__f0063__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white plane is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/quad_Kam1-samples__f0063__lbl1/ | Unity-quadIntersection |
cube_Kam1-samples__f0062__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white cube is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/cube_Kam1-samples__f0062__lbl1/ | Unity-cubeIntersection |
human_Kam1-samples__f0016__lbl0 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the two characters is intersecting with each other, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": false} | [
"question_images_0.jpg"
] | images | ./image/human_Kam1-samples__f0016__lbl0/ | Unity-humanIntersection |
sphere_Kam1-samples__f0073__lbl1 | [
"ClippingDetection",
"ParametricTest"
] | You are a visual analysis assistant specializing in detecting object clipping in video game screenshots. Your task is to examine each provided image and determine whether any part of the white sphere is intersecting with the character model, indicating a clipping issue.
Based on your analysis, respond using the following format:
{
"reasoning": "Brief explanation of why you think clipping is present or not",
"clipping_detected": true or false
}
| {"clipping_detected": true} | [
"question_images_0.jpg"
] | images | ./image/sphere_Kam1-samples__f0073__lbl1/ | Unity-SphereIntersection |
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