VideoScore / examples /data_subset.json
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[
{
"id": "r003679",
"images": [
"r003679_00.jpg",
"r003679_01.jpg",
"r003679_02.jpg",
"r003679_03.jpg",
"r003679_04.jpg",
"r003679_05.jpg",
"r003679_06.jpg",
"r003679_07.jpg",
"r003679_08.jpg",
"r003679_09.jpg",
"r003679_10.jpg",
"r003679_11.jpg",
"r003679_12.jpg",
"r003679_13.jpg",
"r003679_14.jpg",
"r003679_15.jpg",
"r003679_16.jpg",
"r003679_17.jpg",
"r003679_18.jpg",
"r003679_19.jpg",
"r003679_20.jpg",
"r003679_21.jpg",
"r003679_22.jpg",
"r003679_23.jpg"
],
"conversations": [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos, \nplease watch the following frames of a given video and see the text prompt for generating the video, \nthen give scores from 7 different dimensions:\n(1) visual quality, \n(2) object consistency,\n(3) dynamic degree,\n(4) motion smoothness,\n(5) text-to-video alignment,\n(6) factual consistency, \n(7) overall score\nfor each dimension, output a number from [1,2,3], in which '1' stands for 'Bad', '2' stands for 'Average', '3' stands for 'Good'.\nHere is an output example: \nvisual quality: 3\nobject consistency: 2 \ndynamic degree: 2\nmotion smoothness: 1\ntext-to-video alignment: 1\nfactual consistency: 2\noverall score: 1\n\nFor this item, the text prompt is dog rolls over and falls off couch,\nall the frames of video are as follows: \n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> \n"
},
{
"from": "gpt",
"value": "visual quality: 3\n object consistency: 3\n dynamic degree: 3\n motion smoothness: 3\n text-to-video alignment: 3\n factual consistency: 3\n overall score: 3\n"
}
]
},
{
"id": "r100916",
"images": [
"r100916_00.jpg",
"r100916_01.jpg",
"r100916_02.jpg",
"r100916_03.jpg",
"r100916_04.jpg",
"r100916_05.jpg",
"r100916_06.jpg",
"r100916_07.jpg",
"r100916_08.jpg",
"r100916_09.jpg",
"r100916_10.jpg",
"r100916_11.jpg",
"r100916_12.jpg",
"r100916_13.jpg",
"r100916_14.jpg",
"r100916_15.jpg"
],
"conversations": [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos, \nplease watch the following frames of a given video and see the text prompt for generating the video, \nthen give scores from 7 different dimensions:\n(1) visual quality, \n(2) object consistency,\n(3) dynamic degree,\n(4) motion smoothness,\n(5) text-to-video alignment,\n(6) factual consistency, \n(7) overall score\nfor each dimension, output a number from [1,2,3], in which '1' stands for 'Bad', '2' stands for 'Average', '3' stands for 'Good'.\nHere is an output example: \nvisual quality: 3\nobject consistency: 2 \ndynamic degree: 2\nmotion smoothness: 1\ntext-to-video alignment: 1\nfactual consistency: 2\noverall score: 1\n\nFor this item, the text prompt is A young man is standing in front of a glacier with mountains in the background.,\nall the frames of video are as follows: \n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> \n"
},
{
"from": "gpt",
"value": "visual quality: 3\n object consistency: 3\n dynamic degree: 3\n motion smoothness: 3\n text-to-video alignment: 3\n factual consistency: 3\n overall score: 3\n"
}
]
},
{
"id": "r004061",
"images": [
"r004061_00.jpg",
"r004061_01.jpg",
"r004061_02.jpg",
"r004061_03.jpg",
"r004061_04.jpg",
"r004061_05.jpg",
"r004061_06.jpg",
"r004061_07.jpg",
"r004061_08.jpg",
"r004061_09.jpg",
"r004061_10.jpg",
"r004061_11.jpg",
"r004061_12.jpg",
"r004061_13.jpg",
"r004061_14.jpg",
"r004061_15.jpg",
"r004061_16.jpg",
"r004061_17.jpg",
"r004061_18.jpg",
"r004061_19.jpg",
"r004061_20.jpg",
"r004061_21.jpg",
"r004061_22.jpg",
"r004061_23.jpg"
],
"conversations": [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos, \nplease watch the following frames of a given video and see the text prompt for generating the video, \nthen give scores from 7 different dimensions:\n(1) visual quality, \n(2) object consistency,\n(3) dynamic degree,\n(4) motion smoothness,\n(5) text-to-video alignment,\n(6) factual consistency, \n(7) overall score\nfor each dimension, output a number from [1,2,3], in which '1' stands for 'Bad', '2' stands for 'Average', '3' stands for 'Good'.\nHere is an output example: \nvisual quality: 3\nobject consistency: 2 \ndynamic degree: 2\nmotion smoothness: 1\ntext-to-video alignment: 1\nfactual consistency: 2\noverall score: 1\n\nFor this item, the text prompt is a man wearing a striped blanket over his backpack runs behind two other men.,\nall the frames of video are as follows: \n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> \n"
},
{
"from": "gpt",
"value": "visual quality: 3\n object consistency: 3\n dynamic degree: 3\n motion smoothness: 3\n text-to-video alignment: 3\n factual consistency: 3\n overall score: 3\n"
}
]
},
{
"id": "r000228",
"images": [
"r000228_00.jpg",
"r000228_01.jpg",
"r000228_02.jpg",
"r000228_03.jpg",
"r000228_04.jpg",
"r000228_05.jpg",
"r000228_06.jpg",
"r000228_07.jpg",
"r000228_08.jpg",
"r000228_09.jpg",
"r000228_10.jpg",
"r000228_11.jpg",
"r000228_12.jpg",
"r000228_13.jpg",
"r000228_14.jpg",
"r000228_15.jpg",
"r000228_16.jpg",
"r000228_17.jpg",
"r000228_18.jpg",
"r000228_19.jpg",
"r000228_20.jpg",
"r000228_21.jpg",
"r000228_22.jpg",
"r000228_23.jpg"
],
"conversations": [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos, \nplease watch the following frames of a given video and see the text prompt for generating the video, \nthen give scores from 7 different dimensions:\n(1) visual quality, \n(2) object consistency,\n(3) dynamic degree,\n(4) motion smoothness,\n(5) text-to-video alignment,\n(6) factual consistency, \n(7) overall score\nfor each dimension, output a number from [1,2,3], in which '1' stands for 'Bad', '2' stands for 'Average', '3' stands for 'Good'.\nHere is an output example: \nvisual quality: 3\nobject consistency: 2 \ndynamic degree: 2\nmotion smoothness: 1\ntext-to-video alignment: 1\nfactual consistency: 2\noverall score: 1\n\nFor this item, the text prompt is two people get into sports car,\nall the frames of video are as follows: \n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> \n"
},
{
"from": "gpt",
"value": "visual quality: 3\n object consistency: 3\n dynamic degree: 3\n motion smoothness: 3\n text-to-video alignment: 3\n factual consistency: 3\n overall score: 3\n"
}
]
},
{
"id": "r100887",
"images": [
"r100887_00.jpg",
"r100887_01.jpg",
"r100887_02.jpg",
"r100887_03.jpg",
"r100887_04.jpg",
"r100887_05.jpg",
"r100887_06.jpg",
"r100887_07.jpg",
"r100887_08.jpg",
"r100887_09.jpg",
"r100887_10.jpg",
"r100887_11.jpg",
"r100887_12.jpg",
"r100887_13.jpg",
"r100887_14.jpg",
"r100887_15.jpg"
],
"conversations": [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos, \nplease watch the following frames of a given video and see the text prompt for generating the video, \nthen give scores from 7 different dimensions:\n(1) visual quality, \n(2) object consistency,\n(3) dynamic degree,\n(4) motion smoothness,\n(5) text-to-video alignment,\n(6) factual consistency, \n(7) overall score\nfor each dimension, output a number from [1,2,3], in which '1' stands for 'Bad', '2' stands for 'Average', '3' stands for 'Good'.\nHere is an output example: \nvisual quality: 3\nobject consistency: 2 \ndynamic degree: 2\nmotion smoothness: 1\ntext-to-video alignment: 1\nfactual consistency: 2\noverall score: 1\n\nFor this item, the text prompt is A person using a spatula to spread something on a pan.,\nall the frames of video are as follows: \n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> \n"
},
{
"from": "gpt",
"value": "visual quality: 3\n object consistency: 3\n dynamic degree: 3\n motion smoothness: 3\n text-to-video alignment: 3\n factual consistency: 3\n overall score: 3\n"
}
]
},
{
"id": "r104340",
"images": [
"r104340_00.jpg",
"r104340_01.jpg",
"r104340_02.jpg",
"r104340_03.jpg",
"r104340_04.jpg",
"r104340_05.jpg",
"r104340_06.jpg",
"r104340_07.jpg",
"r104340_08.jpg",
"r104340_09.jpg",
"r104340_10.jpg",
"r104340_11.jpg",
"r104340_12.jpg",
"r104340_13.jpg",
"r104340_14.jpg",
"r104340_15.jpg"
],
"conversations": [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos, \nplease watch the following frames of a given video and see the text prompt for generating the video, \nthen give scores from 7 different dimensions:\n(1) visual quality, \n(2) object consistency,\n(3) dynamic degree,\n(4) motion smoothness,\n(5) text-to-video alignment,\n(6) factual consistency, \n(7) overall score\nfor each dimension, output a number from [1,2,3], in which '1' stands for 'Bad', '2' stands for 'Average', '3' stands for 'Good'.\nHere is an output example: \nvisual quality: 3\nobject consistency: 2 \ndynamic degree: 2\nmotion smoothness: 1\ntext-to-video alignment: 1\nfactual consistency: 2\noverall score: 1\n\nFor this item, the text prompt is A bartender is making an alcoholic drink by pouring a clear liquid into a glass with ice cubes.,\nall the frames of video are as follows: \n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> \n"
},
{
"from": "gpt",
"value": "visual quality: 3\n object consistency: 3\n dynamic degree: 3\n motion smoothness: 3\n text-to-video alignment: 3\n factual consistency: 3\n overall score: 3\n"
}
]
},
{
"id": "r001599",
"images": [
"r001599_00.jpg",
"r001599_01.jpg",
"r001599_02.jpg",
"r001599_03.jpg",
"r001599_04.jpg",
"r001599_05.jpg",
"r001599_06.jpg",
"r001599_07.jpg",
"r001599_08.jpg",
"r001599_09.jpg",
"r001599_10.jpg",
"r001599_11.jpg",
"r001599_12.jpg",
"r001599_13.jpg",
"r001599_14.jpg",
"r001599_15.jpg",
"r001599_16.jpg",
"r001599_17.jpg",
"r001599_18.jpg",
"r001599_19.jpg",
"r001599_20.jpg",
"r001599_21.jpg",
"r001599_22.jpg",
"r001599_23.jpg"
],
"conversations": [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos, \nplease watch the following frames of a given video and see the text prompt for generating the video, \nthen give scores from 7 different dimensions:\n(1) visual quality, \n(2) object consistency,\n(3) dynamic degree,\n(4) motion smoothness,\n(5) text-to-video alignment,\n(6) factual consistency, \n(7) overall score\nfor each dimension, output a number from [1,2,3], in which '1' stands for 'Bad', '2' stands for 'Average', '3' stands for 'Good'.\nHere is an output example: \nvisual quality: 3\nobject consistency: 2 \ndynamic degree: 2\nmotion smoothness: 1\ntext-to-video alignment: 1\nfactual consistency: 2\noverall score: 1\n\nFor this item, the text prompt is a man uses a camera,\nall the frames of video are as follows: \n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> \n"
},
{
"from": "gpt",
"value": "visual quality: 3\n object consistency: 3\n dynamic degree: 3\n motion smoothness: 3\n text-to-video alignment: 3\n factual consistency: 3\n overall score: 3\n"
}
]
},
{
"id": "r101298",
"images": [
"r101298_00.jpg",
"r101298_01.jpg",
"r101298_02.jpg",
"r101298_03.jpg",
"r101298_04.jpg",
"r101298_05.jpg",
"r101298_06.jpg",
"r101298_07.jpg",
"r101298_08.jpg",
"r101298_09.jpg",
"r101298_10.jpg",
"r101298_11.jpg",
"r101298_12.jpg",
"r101298_13.jpg",
"r101298_14.jpg",
"r101298_15.jpg",
"r101298_16.jpg",
"r101298_17.jpg",
"r101298_18.jpg",
"r101298_19.jpg",
"r101298_20.jpg",
"r101298_21.jpg",
"r101298_22.jpg",
"r101298_23.jpg"
],
"conversations": [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos, \nplease watch the following frames of a given video and see the text prompt for generating the video, \nthen give scores from 7 different dimensions:\n(1) visual quality, \n(2) object consistency,\n(3) dynamic degree,\n(4) motion smoothness,\n(5) text-to-video alignment,\n(6) factual consistency, \n(7) overall score\nfor each dimension, output a number from [1,2,3], in which '1' stands for 'Bad', '2' stands for 'Average', '3' stands for 'Good'.\nHere is an output example: \nvisual quality: 3\nobject consistency: 2 \ndynamic degree: 2\nmotion smoothness: 1\ntext-to-video alignment: 1\nfactual consistency: 2\noverall score: 1\n\nFor this item, the text prompt is A baseball game is being played in a stadium with a large crowd of people watching.,\nall the frames of video are as follows: \n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> \n"
},
{
"from": "gpt",
"value": "visual quality: 3\n object consistency: 3\n dynamic degree: 3\n motion smoothness: 3\n text-to-video alignment: 3\n factual consistency: 3\n overall score: 3\n"
}
]
},
{
"id": "r000688",
"images": [
"r000688_00.jpg",
"r000688_01.jpg",
"r000688_02.jpg",
"r000688_03.jpg",
"r000688_04.jpg",
"r000688_05.jpg",
"r000688_06.jpg",
"r000688_07.jpg",
"r000688_08.jpg",
"r000688_09.jpg",
"r000688_10.jpg",
"r000688_11.jpg",
"r000688_12.jpg",
"r000688_13.jpg",
"r000688_14.jpg",
"r000688_15.jpg",
"r000688_16.jpg",
"r000688_17.jpg",
"r000688_18.jpg",
"r000688_19.jpg",
"r000688_20.jpg",
"r000688_21.jpg",
"r000688_22.jpg",
"r000688_23.jpg"
],
"conversations": [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos, \nplease watch the following frames of a given video and see the text prompt for generating the video, \nthen give scores from 7 different dimensions:\n(1) visual quality, \n(2) object consistency,\n(3) dynamic degree,\n(4) motion smoothness,\n(5) text-to-video alignment,\n(6) factual consistency, \n(7) overall score\nfor each dimension, output a number from [1,2,3], in which '1' stands for 'Bad', '2' stands for 'Average', '3' stands for 'Good'.\nHere is an output example: \nvisual quality: 3\nobject consistency: 2 \ndynamic degree: 2\nmotion smoothness: 1\ntext-to-video alignment: 1\nfactual consistency: 2\noverall score: 1\n\nFor this item, the text prompt is the child furthest to the right dips her hand into the bowl shared by the other children.,\nall the frames of video are as follows: \n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> \n"
},
{
"from": "gpt",
"value": "visual quality: 3\n object consistency: 3\n dynamic degree: 3\n motion smoothness: 3\n text-to-video alignment: 3\n factual consistency: 3\n overall score: 3\n"
}
]
},
{
"id": "r104350",
"images": [
"r104350_00.jpg",
"r104350_01.jpg",
"r104350_02.jpg",
"r104350_03.jpg",
"r104350_04.jpg",
"r104350_05.jpg",
"r104350_06.jpg",
"r104350_07.jpg",
"r104350_08.jpg",
"r104350_09.jpg",
"r104350_10.jpg",
"r104350_11.jpg",
"r104350_12.jpg",
"r104350_13.jpg",
"r104350_14.jpg",
"r104350_15.jpg",
"r104350_16.jpg",
"r104350_17.jpg",
"r104350_18.jpg",
"r104350_19.jpg",
"r104350_20.jpg",
"r104350_21.jpg",
"r104350_22.jpg",
"r104350_23.jpg"
],
"conversations": [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos, \nplease watch the following frames of a given video and see the text prompt for generating the video, \nthen give scores from 7 different dimensions:\n(1) visual quality, \n(2) object consistency,\n(3) dynamic degree,\n(4) motion smoothness,\n(5) text-to-video alignment,\n(6) factual consistency, \n(7) overall score\nfor each dimension, output a number from [1,2,3], in which '1' stands for 'Bad', '2' stands for 'Average', '3' stands for 'Good'.\nHere is an output example: \nvisual quality: 3\nobject consistency: 2 \ndynamic degree: 2\nmotion smoothness: 1\ntext-to-video alignment: 1\nfactual consistency: 2\noverall score: 1\n\nFor this item, the text prompt is A young man is talking to a young woman in a room with books on the shelves.,\nall the frames of video are as follows: \n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> \n"
},
{
"from": "gpt",
"value": "visual quality: 3\n object consistency: 3\n dynamic degree: 3\n motion smoothness: 3\n text-to-video alignment: 3\n factual consistency: 3\n overall score: 3\n"
}
]
}
]