id
stringlengths 7
7
| images
sequencelengths 8
24
| text prompt
stringlengths 0
947
| video link
stringlengths 89
89
| visual quality
int64 1
4
| temporal consistency
int64 1
4
| dynamic degree
int64 1
4
| text-to-video alignment
int64 0
4
| factual consistency
int64 1
4
| conversations
listlengths 2
2
|
---|---|---|---|---|---|---|---|---|---|
0006782 | [
"0006782_00.jpg",
"0006782_01.jpg",
"0006782_02.jpg",
"0006782_03.jpg",
"0006782_04.jpg",
"0006782_05.jpg",
"0006782_06.jpg",
"0006782_07.jpg",
"0006782_08.jpg",
"0006782_09.jpg",
"0006782_10.jpg",
"0006782_11.jpg",
"0006782_12.jpg",
"0006782_13.jpg",
"0006782_14.jpg",
"0006782_15.jpg",
"0006782_16.jpg",
"0006782_17.jpg",
"0006782_18.jpg",
"0006782_19.jpg",
"0006782_20.jpg",
"0006782_21.jpg",
"0006782_22.jpg",
"0006782_23.jpg"
] | make a background, bubbles and ovals in the form of volumetric and flat figures in blue, white and blue colors | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006782.mp4 | 1 | 2 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"make a background, bubbles and ovals in the form of volumetric and flat figures in blue, white and blue colors\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1005780 | [
"1005780_00.jpg",
"1005780_01.jpg",
"1005780_02.jpg",
"1005780_03.jpg",
"1005780_04.jpg",
"1005780_05.jpg",
"1005780_06.jpg",
"1005780_07.jpg",
"1005780_08.jpg",
"1005780_09.jpg",
"1005780_10.jpg",
"1005780_11.jpg",
"1005780_12.jpg",
"1005780_13.jpg",
"1005780_14.jpg",
"1005780_15.jpg"
] | foggy rainning night in a ghost town with ruin vehicles | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005780.mp4 | 2 | 1 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"foggy rainning night in a ghost town with ruin vehicles\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1006362 | [
"1006362_00.jpg",
"1006362_01.jpg",
"1006362_02.jpg",
"1006362_03.jpg",
"1006362_04.jpg",
"1006362_05.jpg",
"1006362_06.jpg",
"1006362_07.jpg",
"1006362_08.jpg",
"1006362_09.jpg",
"1006362_10.jpg",
"1006362_11.jpg",
"1006362_12.jpg",
"1006362_13.jpg",
"1006362_14.jpg",
"1006362_15.jpg"
] | No prompt | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006362.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"No prompt\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0001980 | [
"0001980_00.jpg",
"0001980_01.jpg",
"0001980_02.jpg",
"0001980_03.jpg",
"0001980_04.jpg",
"0001980_05.jpg",
"0001980_06.jpg",
"0001980_07.jpg",
"0001980_08.jpg",
"0001980_09.jpg",
"0001980_10.jpg",
"0001980_11.jpg",
"0001980_12.jpg",
"0001980_13.jpg",
"0001980_14.jpg",
"0001980_15.jpg",
"0001980_16.jpg",
"0001980_17.jpg",
"0001980_18.jpg",
"0001980_19.jpg",
"0001980_20.jpg",
"0001980_21.jpg",
"0001980_22.jpg",
"0001980_23.jpg"
] | T shirt design minimalist designs in black and white | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001980.mp4 | 3 | 3 | 2 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"T shirt design minimalist designs in black and white\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1002462 | [
"1002462_00.jpg",
"1002462_01.jpg",
"1002462_02.jpg",
"1002462_03.jpg",
"1002462_04.jpg",
"1002462_05.jpg",
"1002462_06.jpg",
"1002462_07.jpg",
"1002462_08.jpg",
"1002462_09.jpg",
"1002462_10.jpg",
"1002462_11.jpg",
"1002462_12.jpg",
"1002462_13.jpg",
"1002462_14.jpg",
"1002462_15.jpg"
] | beautiful dancer model in disco with laser beams and strobe effects move front camera 35mm 4k lens flare | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002462.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"beautiful dancer model in disco with laser beams and strobe effects move front camera 35mm 4k lens flare\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
5000938 | [
"5000938_00.jpg",
"5000938_01.jpg",
"5000938_02.jpg",
"5000938_03.jpg",
"5000938_04.jpg",
"5000938_05.jpg",
"5000938_06.jpg",
"5000938_07.jpg",
"5000938_08.jpg",
"5000938_09.jpg",
"5000938_10.jpg",
"5000938_11.jpg",
"5000938_12.jpg",
"5000938_13.jpg",
"5000938_14.jpg",
"5000938_15.jpg"
] | two future medical engineer on a platform high altitude | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000938.mp4 | 3 | 3 | 1 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"two future medical engineer on a platform high altitude\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
4003807 | [
"4003807_00.jpg",
"4003807_01.jpg",
"4003807_02.jpg",
"4003807_03.jpg",
"4003807_04.jpg",
"4003807_05.jpg",
"4003807_06.jpg",
"4003807_07.jpg",
"4003807_08.jpg",
"4003807_09.jpg",
"4003807_10.jpg",
"4003807_11.jpg",
"4003807_12.jpg",
"4003807_13.jpg",
"4003807_14.jpg",
"4003807_15.jpg"
] | a rabbit and other animal are siting together in deep forest | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003807.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a rabbit and other animal are siting together in deep forest\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2001427 | [
"2001427_00.jpg",
"2001427_01.jpg",
"2001427_02.jpg",
"2001427_03.jpg",
"2001427_04.jpg",
"2001427_05.jpg",
"2001427_06.jpg",
"2001427_07.jpg",
"2001427_08.jpg",
"2001427_09.jpg",
"2001427_10.jpg",
"2001427_11.jpg",
"2001427_12.jpg",
"2001427_13.jpg",
"2001427_14.jpg",
"2001427_15.jpg"
] | An icebreaker was breaking through the ice | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001427.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"An icebreaker was breaking through the ice\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1001636 | [
"1001636_00.jpg",
"1001636_01.jpg",
"1001636_02.jpg",
"1001636_03.jpg",
"1001636_04.jpg",
"1001636_05.jpg",
"1001636_06.jpg",
"1001636_07.jpg",
"1001636_08.jpg",
"1001636_09.jpg",
"1001636_10.jpg",
"1001636_11.jpg",
"1001636_12.jpg",
"1001636_13.jpg",
"1001636_14.jpg",
"1001636_15.jpg"
] | sunshine in the morning, a cute young Chinese lady walking along the key west beach, with her dog jumping around her. In the background, there is a seagulls flying in the blue sky | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001636.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"sunshine in the morning, a cute young Chinese lady walking along the key west beach, with her dog jumping around her. In the background, there is a seagulls flying in the blue sky\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1000278 | [
"1000278_00.jpg",
"1000278_01.jpg",
"1000278_02.jpg",
"1000278_03.jpg",
"1000278_04.jpg",
"1000278_05.jpg",
"1000278_06.jpg",
"1000278_07.jpg",
"1000278_08.jpg",
"1000278_09.jpg",
"1000278_10.jpg",
"1000278_11.jpg",
"1000278_12.jpg",
"1000278_13.jpg",
"1000278_14.jpg",
"1000278_15.jpg"
] | 10 year old boy hiking in Himalayas with green meadows and back ground of snowy himalayas | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000278.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"10 year old boy hiking in Himalayas with green meadows and back ground of snowy himalayas\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2005087 | [
"2005087_00.jpg",
"2005087_01.jpg",
"2005087_02.jpg",
"2005087_03.jpg",
"2005087_04.jpg",
"2005087_05.jpg",
"2005087_06.jpg",
"2005087_07.jpg",
"2005087_08.jpg",
"2005087_09.jpg",
"2005087_10.jpg",
"2005087_11.jpg",
"2005087_12.jpg",
"2005087_13.jpg",
"2005087_14.jpg",
"2005087_15.jpg"
] | Photorealistic high school building panning to the left | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005087.mp4 | 2 | 3 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Photorealistic high school building panning to the left\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
s000658 | [
"s000658_00.jpg",
"s000658_01.jpg",
"s000658_02.jpg",
"s000658_03.jpg",
"s000658_04.jpg",
"s000658_05.jpg",
"s000658_06.jpg",
"s000658_07.jpg",
"s000658_08.jpg",
"s000658_09.jpg",
"s000658_10.jpg",
"s000658_11.jpg",
"s000658_12.jpg",
"s000658_13.jpg",
"s000658_14.jpg",
"s000658_15.jpg",
"s000658_16.jpg",
"s000658_17.jpg",
"s000658_18.jpg",
"s000658_19.jpg",
"s000658_20.jpg",
"s000658_21.jpg",
"s000658_22.jpg",
"s000658_23.jpg"
] | beautiful scenery, water droplet , calm, serenity, calm breeze, a bit sunrays through trees, forest | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000658.mp4 | 4 | 4 | 4 | 0 | 4 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"beautiful scenery, water droplet , calm, serenity, calm breeze, a bit sunrays through trees, forest\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n"
}
] |
0000904 | [
"0000904_00.jpg",
"0000904_01.jpg",
"0000904_02.jpg",
"0000904_03.jpg",
"0000904_04.jpg",
"0000904_05.jpg",
"0000904_06.jpg",
"0000904_07.jpg",
"0000904_08.jpg",
"0000904_09.jpg",
"0000904_10.jpg",
"0000904_11.jpg",
"0000904_12.jpg",
"0000904_13.jpg",
"0000904_14.jpg",
"0000904_15.jpg",
"0000904_16.jpg",
"0000904_17.jpg",
"0000904_18.jpg",
"0000904_19.jpg",
"0000904_20.jpg",
"0000904_21.jpg",
"0000904_22.jpg",
"0000904_23.jpg"
] | lonely man LuHan drifting in a small boat on a quiet river, summer, daytime, river,sea,overcast sky | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000904.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"lonely man LuHan drifting in a small boat on a quiet river, summer, daytime, river,sea,overcast sky\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2004675 | [
"2004675_00.jpg",
"2004675_01.jpg",
"2004675_02.jpg",
"2004675_03.jpg",
"2004675_04.jpg",
"2004675_05.jpg",
"2004675_06.jpg",
"2004675_07.jpg",
"2004675_08.jpg",
"2004675_09.jpg",
"2004675_10.jpg",
"2004675_11.jpg",
"2004675_12.jpg",
"2004675_13.jpg",
"2004675_14.jpg",
"2004675_15.jpg"
] | a donut on the top of broccoli, front view | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004675.mp4 | 3 | 3 | 3 | 0 | 2 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a donut on the top of broccoli, front view\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
8002716 | [
"8002716_00.jpg",
"8002716_01.jpg",
"8002716_02.jpg",
"8002716_03.jpg",
"8002716_04.jpg",
"8002716_05.jpg",
"8002716_06.jpg",
"8002716_07.jpg",
"8002716_08.jpg",
"8002716_09.jpg",
"8002716_10.jpg",
"8002716_11.jpg",
"8002716_12.jpg",
"8002716_13.jpg",
"8002716_14.jpg",
"8002716_15.jpg",
"8002716_16.jpg",
"8002716_17.jpg",
"8002716_18.jpg",
"8002716_19.jpg",
"8002716_20.jpg",
"8002716_21.jpg",
"8002716_22.jpg",
"8002716_23.jpg"
] | a crowd of grandmothers in colorful dresses stands in a crowd of fans, next to an advertising poster depicting a man, in the airport hall, there is light around, futurism, realism, 16:9 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002716.mp4 | 2 | 2 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a crowd of grandmothers in colorful dresses stands in a crowd of fans, next to an advertising poster depicting a man, in the airport hall, there is light around, futurism, realism, 16:9\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2002428 | [
"2002428_00.jpg",
"2002428_01.jpg",
"2002428_02.jpg",
"2002428_03.jpg",
"2002428_04.jpg",
"2002428_05.jpg",
"2002428_06.jpg",
"2002428_07.jpg",
"2002428_08.jpg",
"2002428_09.jpg",
"2002428_10.jpg",
"2002428_11.jpg",
"2002428_12.jpg",
"2002428_13.jpg",
"2002428_14.jpg",
"2002428_15.jpg"
] | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002428.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
|
6000784 | [
"6000784_00.jpg",
"6000784_01.jpg",
"6000784_02.jpg",
"6000784_03.jpg",
"6000784_04.jpg",
"6000784_05.jpg",
"6000784_06.jpg",
"6000784_07.jpg",
"6000784_08.jpg",
"6000784_09.jpg",
"6000784_10.jpg",
"6000784_11.jpg",
"6000784_12.jpg",
"6000784_13.jpg",
"6000784_14.jpg",
"6000784_15.jpg"
] | A giant lizard attacking a dirt field. Capture the fury in his eyes as he moves. photo realistic, 8K | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000784.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A giant lizard attacking a dirt field. Capture the fury in his eyes as he moves. photo realistic, 8K\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
7003142 | [
"7003142_00.jpg",
"7003142_01.jpg",
"7003142_02.jpg",
"7003142_03.jpg",
"7003142_04.jpg",
"7003142_05.jpg",
"7003142_06.jpg",
"7003142_07.jpg"
] | two men looking as best friends in a quite and peaceful village | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003142.mp4 | 2 | 3 | 3 | 0 | 2 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"two men looking as best friends in a quite and peaceful village\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
7002211 | [
"7002211_00.jpg",
"7002211_01.jpg",
"7002211_02.jpg",
"7002211_03.jpg",
"7002211_04.jpg",
"7002211_05.jpg",
"7002211_06.jpg",
"7002211_07.jpg"
] | still movie frame of hitchcock film, color film, a cinematic shot of an aerial view of a downtown in a populated city, dusk is setting in | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002211.mp4 | 3 | 3 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"still movie frame of hitchcock film, color film, a cinematic shot of an aerial view of a downtown in a populated city, dusk is setting in\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
4004263 | [
"4004263_00.jpg",
"4004263_01.jpg",
"4004263_02.jpg",
"4004263_03.jpg",
"4004263_04.jpg",
"4004263_05.jpg",
"4004263_06.jpg",
"4004263_07.jpg",
"4004263_08.jpg",
"4004263_09.jpg",
"4004263_10.jpg",
"4004263_11.jpg",
"4004263_12.jpg",
"4004263_13.jpg",
"4004263_14.jpg",
"4004263_15.jpg"
] | As they gazed at the treasure, Elara and Finn realized that the true value of their discovery lay in the journey itself. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004263.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"As they gazed at the treasure, Elara and Finn realized that the true value of their discovery lay in the journey itself.\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
7001240 | [
"7001240_00.jpg",
"7001240_01.jpg",
"7001240_02.jpg",
"7001240_03.jpg",
"7001240_04.jpg",
"7001240_05.jpg",
"7001240_06.jpg",
"7001240_07.jpg"
] | a violet opening to reveal a beautiful fairy inside | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001240.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a violet opening to reveal a beautiful fairy inside\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
8001707 | [
"8001707_00.jpg",
"8001707_01.jpg",
"8001707_02.jpg",
"8001707_03.jpg",
"8001707_04.jpg",
"8001707_05.jpg",
"8001707_06.jpg",
"8001707_07.jpg",
"8001707_08.jpg",
"8001707_09.jpg",
"8001707_10.jpg",
"8001707_11.jpg",
"8001707_12.jpg",
"8001707_13.jpg",
"8001707_14.jpg",
"8001707_15.jpg",
"8001707_16.jpg",
"8001707_17.jpg",
"8001707_18.jpg",
"8001707_19.jpg",
"8001707_20.jpg",
"8001707_21.jpg",
"8001707_22.jpg",
"8001707_23.jpg"
] | An enchanting image of Ollie the octopus gracefully navigating the colorful coral reefs in the deep ocean, his iridescent colors shimmering in the water. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001707.mp4 | 2 | 2 | 2 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"An enchanting image of Ollie the octopus gracefully navigating the colorful coral reefs in the deep ocean, his iridescent colors shimmering in the water.\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0001203 | [
"0001203_00.jpg",
"0001203_01.jpg",
"0001203_02.jpg",
"0001203_03.jpg",
"0001203_04.jpg",
"0001203_05.jpg",
"0001203_06.jpg",
"0001203_07.jpg",
"0001203_08.jpg",
"0001203_09.jpg",
"0001203_10.jpg",
"0001203_11.jpg",
"0001203_12.jpg",
"0001203_13.jpg",
"0001203_14.jpg",
"0001203_15.jpg",
"0001203_16.jpg",
"0001203_17.jpg",
"0001203_18.jpg",
"0001203_19.jpg",
"0001203_20.jpg",
"0001203_21.jpg",
"0001203_22.jpg",
"0001203_23.jpg"
] | dragonball characters with nike and adidas sport clothes | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001203.mp4 | 3 | 3 | 2 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"dragonball characters with nike and adidas sport clothes\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
7003343 | [
"7003343_00.jpg",
"7003343_01.jpg",
"7003343_02.jpg",
"7003343_03.jpg",
"7003343_04.jpg",
"7003343_05.jpg",
"7003343_06.jpg",
"7003343_07.jpg"
] | create a scene of a woman with glasses eating an apple sitting on a bench in the square with a meteor shower in the background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003343.mp4 | 2 | 1 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"create a scene of a woman with glasses eating an apple sitting on a bench in the square with a meteor shower in the background\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
4001933 | [
"4001933_00.jpg",
"4001933_01.jpg",
"4001933_02.jpg",
"4001933_03.jpg",
"4001933_04.jpg",
"4001933_05.jpg",
"4001933_06.jpg",
"4001933_07.jpg",
"4001933_08.jpg",
"4001933_09.jpg",
"4001933_10.jpg",
"4001933_11.jpg",
"4001933_12.jpg",
"4001933_13.jpg",
"4001933_14.jpg",
"4001933_15.jpg"
] | Meteor falling from the sky shaking the ground | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001933.mp4 | 3 | 3 | 1 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Meteor falling from the sky shaking the ground\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1002920 | [
"1002920_00.jpg",
"1002920_01.jpg",
"1002920_02.jpg",
"1002920_03.jpg",
"1002920_04.jpg",
"1002920_05.jpg",
"1002920_06.jpg",
"1002920_07.jpg",
"1002920_08.jpg",
"1002920_09.jpg",
"1002920_10.jpg",
"1002920_11.jpg",
"1002920_12.jpg",
"1002920_13.jpg",
"1002920_14.jpg",
"1002920_15.jpg"
] | In an unexpected twist, Walter White, sporting a stylish Balenciaga apron, teams up with SpongeBob SquarePants in a bustling kitchen. Walter meticulously measures blue crystals while SpongeBob, donning a chef’s hat, stirs Krabby Patty sauce with contagious enthusiasm. A blend of chemistry and culinary chaos unfolds, creating an oddly effective duo and a masterpiece meal. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002920.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"In an unexpected twist, Walter White, sporting a stylish Balenciaga apron, teams up with SpongeBob SquarePants in a bustling kitchen. Walter meticulously measures blue crystals while SpongeBob, donning a chef’s hat, stirs Krabby Patty sauce with contagious enthusiasm. A blend of chemistry and culinary chaos unfolds, creating an oddly effective duo and a masterpiece meal.\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3002332 | [
"3002332_00.jpg",
"3002332_01.jpg",
"3002332_02.jpg",
"3002332_03.jpg",
"3002332_04.jpg",
"3002332_05.jpg",
"3002332_06.jpg",
"3002332_07.jpg",
"3002332_08.jpg",
"3002332_09.jpg",
"3002332_10.jpg",
"3002332_11.jpg",
"3002332_12.jpg",
"3002332_13.jpg",
"3002332_14.jpg",
"3002332_15.jpg"
] | Winter wonderland with cabin in background and Christmas lights on telephone towers | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002332.mp4 | 2 | 1 | 3 | 0 | 2 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Winter wonderland with cabin in background and Christmas lights on telephone towers\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
8000927 | [
"8000927_00.jpg",
"8000927_01.jpg",
"8000927_02.jpg",
"8000927_03.jpg",
"8000927_04.jpg",
"8000927_05.jpg",
"8000927_06.jpg",
"8000927_07.jpg",
"8000927_08.jpg",
"8000927_09.jpg",
"8000927_10.jpg",
"8000927_11.jpg",
"8000927_12.jpg",
"8000927_13.jpg",
"8000927_14.jpg",
"8000927_15.jpg",
"8000927_16.jpg",
"8000927_17.jpg",
"8000927_18.jpg",
"8000927_19.jpg",
"8000927_20.jpg",
"8000927_21.jpg",
"8000927_22.jpg",
"8000927_23.jpg"
] | A minotaur standing on a hill in the horizon as there is lava below it. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000927.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A minotaur standing on a hill in the horizon as there is lava below it.\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
4001040 | [
"4001040_00.jpg",
"4001040_01.jpg",
"4001040_02.jpg",
"4001040_03.jpg",
"4001040_04.jpg",
"4001040_05.jpg",
"4001040_06.jpg",
"4001040_07.jpg",
"4001040_08.jpg",
"4001040_09.jpg",
"4001040_10.jpg",
"4001040_11.jpg",
"4001040_12.jpg",
"4001040_13.jpg",
"4001040_14.jpg",
"4001040_15.jpg"
] | man walk in destroyed soviet city | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001040.mp4 | 2 | 3 | 1 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"man walk in destroyed soviet city\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6003534 | [
"6003534_00.jpg",
"6003534_01.jpg",
"6003534_02.jpg",
"6003534_03.jpg",
"6003534_04.jpg",
"6003534_05.jpg",
"6003534_06.jpg",
"6003534_07.jpg",
"6003534_08.jpg",
"6003534_09.jpg",
"6003534_10.jpg",
"6003534_11.jpg",
"6003534_12.jpg",
"6003534_13.jpg",
"6003534_14.jpg",
"6003534_15.jpg"
] | Gwen Stacy reading a book, oil painting | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003534.mp4 | 2 | 2 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Gwen Stacy reading a book, oil painting\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2000067 | [
"2000067_00.jpg",
"2000067_01.jpg",
"2000067_02.jpg",
"2000067_03.jpg",
"2000067_04.jpg",
"2000067_05.jpg",
"2000067_06.jpg",
"2000067_07.jpg",
"2000067_08.jpg",
"2000067_09.jpg",
"2000067_10.jpg",
"2000067_11.jpg",
"2000067_12.jpg",
"2000067_13.jpg",
"2000067_14.jpg",
"2000067_15.jpg"
] | a brazilian jiu jitsu fighter in a flying triangl choke | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000067.mp4 | 3 | 2 | 3 | 0 | 2 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a brazilian jiu jitsu fighter in a flying triangl choke\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
6003511 | [
"6003511_00.jpg",
"6003511_01.jpg",
"6003511_02.jpg",
"6003511_03.jpg",
"6003511_04.jpg",
"6003511_05.jpg",
"6003511_06.jpg",
"6003511_07.jpg",
"6003511_08.jpg",
"6003511_09.jpg",
"6003511_10.jpg",
"6003511_11.jpg",
"6003511_12.jpg",
"6003511_13.jpg",
"6003511_14.jpg",
"6003511_15.jpg"
] | Even though the lion had given good positions to these four, other animals called them a group of sycophants. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003511.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Even though the lion had given good positions to these four, other animals called them a group of sycophants.\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
4000577 | [
"4000577_00.jpg",
"4000577_01.jpg",
"4000577_02.jpg",
"4000577_03.jpg",
"4000577_04.jpg",
"4000577_05.jpg",
"4000577_06.jpg",
"4000577_07.jpg",
"4000577_08.jpg",
"4000577_09.jpg",
"4000577_10.jpg",
"4000577_11.jpg",
"4000577_12.jpg",
"4000577_13.jpg",
"4000577_14.jpg",
"4000577_15.jpg"
] | a man passes through a wall like a ghost | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000577.mp4 | 3 | 2 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a man passes through a wall like a ghost\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1001130 | [
"1001130_00.jpg",
"1001130_01.jpg",
"1001130_02.jpg",
"1001130_03.jpg",
"1001130_04.jpg",
"1001130_05.jpg",
"1001130_06.jpg",
"1001130_07.jpg",
"1001130_08.jpg",
"1001130_09.jpg",
"1001130_10.jpg",
"1001130_11.jpg",
"1001130_12.jpg",
"1001130_13.jpg",
"1001130_14.jpg",
"1001130_15.jpg"
] | a super cute cartoon of a little girl sitting in a little army tank pointing her finger at you | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001130.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a super cute cartoon of a little girl sitting in a little army tank pointing her finger at you\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
4002379 | [
"4002379_00.jpg",
"4002379_01.jpg",
"4002379_02.jpg",
"4002379_03.jpg",
"4002379_04.jpg",
"4002379_05.jpg",
"4002379_06.jpg",
"4002379_07.jpg",
"4002379_08.jpg",
"4002379_09.jpg",
"4002379_10.jpg",
"4002379_11.jpg",
"4002379_12.jpg",
"4002379_13.jpg",
"4002379_14.jpg",
"4002379_15.jpg"
] | on panel of a robot lying next to another person, in the style of brian bolland, youthful protagonists, frank mccarthy, yellow and silver, the stars art group( xing xing) , skeletal, charles wysocki | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002379.mp4 | 3 | 3 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"on panel of a robot lying next to another person, in the style of brian bolland, youthful protagonists, frank mccarthy, yellow and silver, the stars art group( xing xing) , skeletal, charles wysocki\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
8000959 | [
"8000959_00.jpg",
"8000959_01.jpg",
"8000959_02.jpg",
"8000959_03.jpg",
"8000959_04.jpg",
"8000959_05.jpg",
"8000959_06.jpg",
"8000959_07.jpg",
"8000959_08.jpg",
"8000959_09.jpg",
"8000959_10.jpg",
"8000959_11.jpg",
"8000959_12.jpg",
"8000959_13.jpg",
"8000959_14.jpg",
"8000959_15.jpg",
"8000959_16.jpg",
"8000959_17.jpg",
"8000959_18.jpg",
"8000959_19.jpg",
"8000959_20.jpg",
"8000959_21.jpg",
"8000959_22.jpg",
"8000959_23.jpg"
] | A Japanese beauty is playing basketball while dressed in a Slam Dunk basketball team uniform | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000959.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A Japanese beauty is playing basketball while dressed in a Slam Dunk basketball team uniform\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
7000914 | [
"7000914_00.jpg",
"7000914_01.jpg",
"7000914_02.jpg",
"7000914_03.jpg",
"7000914_04.jpg",
"7000914_05.jpg",
"7000914_06.jpg",
"7000914_07.jpg"
] | Inside of a Breast Cancer clinic With all its high end machinery | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000914.mp4 | 2 | 3 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Inside of a Breast Cancer clinic With all its high end machinery\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0001271 | [
"0001271_00.jpg",
"0001271_01.jpg",
"0001271_02.jpg",
"0001271_03.jpg",
"0001271_04.jpg",
"0001271_05.jpg",
"0001271_06.jpg",
"0001271_07.jpg",
"0001271_08.jpg",
"0001271_09.jpg",
"0001271_10.jpg",
"0001271_11.jpg",
"0001271_12.jpg",
"0001271_13.jpg",
"0001271_14.jpg",
"0001271_15.jpg",
"0001271_16.jpg",
"0001271_17.jpg",
"0001271_18.jpg",
"0001271_19.jpg",
"0001271_20.jpg",
"0001271_21.jpg",
"0001271_22.jpg",
"0001271_23.jpg"
] | In a small town, a group of kids stumble upon an abandoned house with a dark secret. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001271.mp4 | 3 | 3 | 2 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"In a small town, a group of kids stumble upon an abandoned house with a dark secret.\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3002976 | [
"3002976_00.jpg",
"3002976_01.jpg",
"3002976_02.jpg",
"3002976_03.jpg",
"3002976_04.jpg",
"3002976_05.jpg",
"3002976_06.jpg",
"3002976_07.jpg",
"3002976_08.jpg",
"3002976_09.jpg",
"3002976_10.jpg",
"3002976_11.jpg",
"3002976_12.jpg",
"3002976_13.jpg",
"3002976_14.jpg",
"3002976_15.jpg"
] | office with multiple people working with computers Message: que gostoso (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002976.mp4 | 2 | 2 | 3 | 0 | 2 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"office with multiple people working with computers Message: que gostoso (Font: MODERN)\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
7000903 | [
"7000903_00.jpg",
"7000903_01.jpg",
"7000903_02.jpg",
"7000903_03.jpg",
"7000903_04.jpg",
"7000903_05.jpg",
"7000903_06.jpg",
"7000903_07.jpg"
] | a happy blond girl walking in loop in a road beside a ocean view | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000903.mp4 | 2 | 2 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a happy blond girl walking in loop in a road beside a ocean view\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0001603 | [
"0001603_00.jpg",
"0001603_01.jpg",
"0001603_02.jpg",
"0001603_03.jpg",
"0001603_04.jpg",
"0001603_05.jpg",
"0001603_06.jpg",
"0001603_07.jpg",
"0001603_08.jpg",
"0001603_09.jpg",
"0001603_10.jpg",
"0001603_11.jpg",
"0001603_12.jpg",
"0001603_13.jpg",
"0001603_14.jpg",
"0001603_15.jpg",
"0001603_16.jpg",
"0001603_17.jpg",
"0001603_18.jpg",
"0001603_19.jpg",
"0001603_20.jpg",
"0001603_21.jpg",
"0001603_22.jpg",
"0001603_23.jpg"
] | a potted plant and a tv | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001603.mp4 | 3 | 3 | 2 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a potted plant and a tv\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
8000279 | [
"8000279_00.jpg",
"8000279_01.jpg",
"8000279_02.jpg",
"8000279_03.jpg",
"8000279_04.jpg",
"8000279_05.jpg",
"8000279_06.jpg",
"8000279_07.jpg",
"8000279_08.jpg",
"8000279_09.jpg",
"8000279_10.jpg",
"8000279_11.jpg",
"8000279_12.jpg",
"8000279_13.jpg",
"8000279_14.jpg",
"8000279_15.jpg",
"8000279_16.jpg",
"8000279_17.jpg",
"8000279_18.jpg",
"8000279_19.jpg",
"8000279_20.jpg",
"8000279_21.jpg",
"8000279_22.jpg",
"8000279_23.jpg"
] | group of Native American men dancing and chanting with jumping. camera movement left to right | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000279.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"group of Native American men dancing and chanting with jumping. camera movement left to right\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2001162 | [
"2001162_00.jpg",
"2001162_01.jpg",
"2001162_02.jpg",
"2001162_03.jpg",
"2001162_04.jpg",
"2001162_05.jpg",
"2001162_06.jpg",
"2001162_07.jpg",
"2001162_08.jpg",
"2001162_09.jpg",
"2001162_10.jpg",
"2001162_11.jpg",
"2001162_12.jpg",
"2001162_13.jpg",
"2001162_14.jpg",
"2001162_15.jpg"
] | Illustration: 3D render of a metallic gray car with its internals exposed, showcasing the engine, transmission, and other key components. The car is set against a light gray backdrop, emphasizing its internal details. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001162.mp4 | 3 | 3 | 1 | 0 | 2 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Illustration: 3D render of a metallic gray car with its internals exposed, showcasing the engine, transmission, and other key components. The car is set against a light gray backdrop, emphasizing its internal details.\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
9000251 | [
"9000251_00.jpg",
"9000251_01.jpg",
"9000251_02.jpg",
"9000251_03.jpg",
"9000251_04.jpg",
"9000251_05.jpg",
"9000251_06.jpg",
"9000251_07.jpg",
"9000251_08.jpg",
"9000251_09.jpg",
"9000251_10.jpg",
"9000251_11.jpg",
"9000251_12.jpg",
"9000251_13.jpg",
"9000251_14.jpg",
"9000251_15.jpg",
"9000251_16.jpg",
"9000251_17.jpg",
"9000251_18.jpg",
"9000251_19.jpg",
"9000251_20.jpg",
"9000251_21.jpg",
"9000251_22.jpg",
"9000251_23.jpg"
] | child support, court, 24 fps, movement 5, cinematic, photorealistic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000251.mp4 | 2 | 1 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"child support, court, 24 fps, movement 5, cinematic, photorealistic\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
s000401 | [
"s000401_00.jpg",
"s000401_01.jpg",
"s000401_02.jpg",
"s000401_03.jpg",
"s000401_04.jpg",
"s000401_05.jpg",
"s000401_06.jpg",
"s000401_07.jpg",
"s000401_08.jpg",
"s000401_09.jpg",
"s000401_10.jpg",
"s000401_11.jpg",
"s000401_12.jpg",
"s000401_13.jpg",
"s000401_14.jpg",
"s000401_15.jpg",
"s000401_16.jpg",
"s000401_17.jpg",
"s000401_18.jpg",
"s000401_19.jpg"
] | camera pans to magic spells be casted by students in a magic world of wizards | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000401.mp4 | 4 | 4 | 4 | 0 | 4 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"camera pans to magic spells be casted by students in a magic world of wizards\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n"
}
] |
3002223 | [
"3002223_00.jpg",
"3002223_01.jpg",
"3002223_02.jpg",
"3002223_03.jpg",
"3002223_04.jpg",
"3002223_05.jpg",
"3002223_06.jpg",
"3002223_07.jpg",
"3002223_08.jpg",
"3002223_09.jpg",
"3002223_10.jpg",
"3002223_11.jpg",
"3002223_12.jpg",
"3002223_13.jpg",
"3002223_14.jpg",
"3002223_15.jpg"
] | One paper list of text items and one big open book opened containing long paragraphs both place on the table, 3d photo realistic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002223.mp4 | 2 | 1 | 3 | 0 | 2 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"One paper list of text items and one big open book opened containing long paragraphs both place on the table, 3d photo realistic\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
7004918 | [
"7004918_00.jpg",
"7004918_01.jpg",
"7004918_02.jpg",
"7004918_03.jpg",
"7004918_04.jpg",
"7004918_05.jpg",
"7004918_06.jpg",
"7004918_07.jpg"
] | A spaceship takes off from a giant mushroom planet inhabited by humans. A dazzling daytime sky. Photorealistic. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004918.mp4 | 3 | 2 | 2 | 0 | 2 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A spaceship takes off from a giant mushroom planet inhabited by humans. A dazzling daytime sky. Photorealistic.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
1004453 | [
"1004453_00.jpg",
"1004453_01.jpg",
"1004453_02.jpg",
"1004453_03.jpg",
"1004453_04.jpg",
"1004453_05.jpg",
"1004453_06.jpg",
"1004453_07.jpg",
"1004453_08.jpg",
"1004453_09.jpg",
"1004453_10.jpg",
"1004453_11.jpg",
"1004453_12.jpg",
"1004453_13.jpg",
"1004453_14.jpg",
"1004453_15.jpg"
] | A kind princess kneeling before a wise old sage in a deep forest (lush green forest with sunlight filtering through the leaves). | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004453.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A kind princess kneeling before a wise old sage in a deep forest (lush green forest with sunlight filtering through the leaves).\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
s000551 | [
"s000551_00.jpg",
"s000551_01.jpg",
"s000551_02.jpg",
"s000551_03.jpg",
"s000551_04.jpg",
"s000551_05.jpg",
"s000551_06.jpg",
"s000551_07.jpg",
"s000551_08.jpg",
"s000551_09.jpg",
"s000551_10.jpg",
"s000551_11.jpg",
"s000551_12.jpg",
"s000551_13.jpg",
"s000551_14.jpg",
"s000551_15.jpg",
"s000551_16.jpg",
"s000551_17.jpg",
"s000551_18.jpg",
"s000551_19.jpg",
"s000551_20.jpg",
"s000551_21.jpg",
"s000551_22.jpg",
"s000551_23.jpg"
] | A lush, green forest as the backdrop. A wide shot | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000551.mp4 | 4 | 4 | 4 | 0 | 4 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A lush, green forest as the backdrop. A wide shot\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n"
}
] |
7000955 | [
"7000955_00.jpg",
"7000955_01.jpg",
"7000955_02.jpg",
"7000955_03.jpg",
"7000955_04.jpg",
"7000955_05.jpg",
"7000955_06.jpg",
"7000955_07.jpg"
] | henry kissinger negotiating the ceasefire to the vietnam war in paris | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000955.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"henry kissinger negotiating the ceasefire to the vietnam war in paris\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0000243 | [
"0000243_00.jpg",
"0000243_01.jpg",
"0000243_02.jpg",
"0000243_03.jpg",
"0000243_04.jpg",
"0000243_05.jpg",
"0000243_06.jpg",
"0000243_07.jpg",
"0000243_08.jpg",
"0000243_09.jpg",
"0000243_10.jpg",
"0000243_11.jpg",
"0000243_12.jpg",
"0000243_13.jpg",
"0000243_14.jpg",
"0000243_15.jpg",
"0000243_16.jpg",
"0000243_17.jpg",
"0000243_18.jpg",
"0000243_19.jpg",
"0000243_20.jpg",
"0000243_21.jpg",
"0000243_22.jpg",
"0000243_23.jpg"
] | a girl drowning in river in a forest | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000243.mp4 | 3 | 2 | 1 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a girl drowning in river in a forest\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3000261 | [
"3000261_00.jpg",
"3000261_01.jpg",
"3000261_02.jpg",
"3000261_03.jpg",
"3000261_04.jpg",
"3000261_05.jpg",
"3000261_06.jpg",
"3000261_07.jpg",
"3000261_08.jpg",
"3000261_09.jpg",
"3000261_10.jpg",
"3000261_11.jpg",
"3000261_12.jpg",
"3000261_13.jpg",
"3000261_14.jpg",
"3000261_15.jpg"
] | sentient robots saving humanity from itself | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000261.mp4 | 3 | 2 | 3 | 0 | 2 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"sentient robots saving humanity from itself\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
0005265 | [
"0005265_00.jpg",
"0005265_01.jpg",
"0005265_02.jpg",
"0005265_03.jpg",
"0005265_04.jpg",
"0005265_05.jpg",
"0005265_06.jpg",
"0005265_07.jpg",
"0005265_08.jpg",
"0005265_09.jpg",
"0005265_10.jpg",
"0005265_11.jpg",
"0005265_12.jpg",
"0005265_13.jpg",
"0005265_14.jpg",
"0005265_15.jpg",
"0005265_16.jpg",
"0005265_17.jpg",
"0005265_18.jpg",
"0005265_19.jpg",
"0005265_20.jpg",
"0005265_21.jpg",
"0005265_22.jpg",
"0005265_23.jpg"
] | 4k video of an adult with an inner child | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005265.mp4 | 3 | 3 | 1 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"4k video of an adult with an inner child\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
5000193 | [
"5000193_00.jpg",
"5000193_01.jpg",
"5000193_02.jpg",
"5000193_03.jpg",
"5000193_04.jpg",
"5000193_05.jpg",
"5000193_06.jpg",
"5000193_07.jpg",
"5000193_08.jpg",
"5000193_09.jpg",
"5000193_10.jpg",
"5000193_11.jpg",
"5000193_12.jpg",
"5000193_13.jpg",
"5000193_14.jpg",
"5000193_15.jpg"
] | This close-up shot of a chameleon showcases its striking color changing capabilities. The background is blurred, drawing attention to the animal’s striking appearance. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000193.mp4 | 2 | 3 | 1 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"This close-up shot of a chameleon showcases its striking color changing capabilities. The background is blurred, drawing attention to the animal’s striking appearance.\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
4001133 | [
"4001133_00.jpg",
"4001133_01.jpg",
"4001133_02.jpg",
"4001133_03.jpg",
"4001133_04.jpg",
"4001133_05.jpg",
"4001133_06.jpg",
"4001133_07.jpg",
"4001133_08.jpg",
"4001133_09.jpg",
"4001133_10.jpg",
"4001133_11.jpg",
"4001133_12.jpg",
"4001133_13.jpg",
"4001133_14.jpg",
"4001133_15.jpg"
] | Gwen Stacy reading a book, racking focus | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001133.mp4 | 3 | 2 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Gwen Stacy reading a book, racking focus\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
4001307 | [
"4001307_00.jpg",
"4001307_01.jpg",
"4001307_02.jpg",
"4001307_03.jpg",
"4001307_04.jpg",
"4001307_05.jpg",
"4001307_06.jpg",
"4001307_07.jpg",
"4001307_08.jpg",
"4001307_09.jpg",
"4001307_10.jpg",
"4001307_11.jpg",
"4001307_12.jpg",
"4001307_13.jpg",
"4001307_14.jpg",
"4001307_15.jpg"
] | 123456A group of cute pandas are rowing a boat, with a side shot of the river splashing around the boat | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001307.mp4 | 3 | 2 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"123456A group of cute pandas are rowing a boat, with a side shot of the river splashing around the boat\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2000258 | [
"2000258_00.jpg",
"2000258_01.jpg",
"2000258_02.jpg",
"2000258_03.jpg",
"2000258_04.jpg",
"2000258_05.jpg",
"2000258_06.jpg",
"2000258_07.jpg",
"2000258_08.jpg",
"2000258_09.jpg",
"2000258_10.jpg",
"2000258_11.jpg",
"2000258_12.jpg",
"2000258_13.jpg",
"2000258_14.jpg",
"2000258_15.jpg"
] | Paul Trillo is a multi-disciplinary artist, writer, and director whose work has earned accolades from outlets like Rolling Stone and The New Yorker. Paul has garnered 19 Vimeo Staff Picks, an honor given to the best short films hosted on Vimeo. “Working with Sora is the first time I’ve felt unchained as a filmmaker,” he states. “Not restricted by time, money, other people’s permission, I can ideate and experiment in bold and exciting ways.” His experimental videos reflect this approach. “Sora is at its most powerful when you’re not replicating the old but bringing to life new and impossible ideas we would have otherwise never had the opportunity to see.” | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000258.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Paul Trillo is a multi-disciplinary artist, writer, and director whose work has earned accolades from outlets like Rolling Stone and The New Yorker. Paul has garnered 19 Vimeo Staff Picks, an honor given to the best short films hosted on Vimeo. “Working with Sora is the first time I’ve felt unchained as a filmmaker,” he states. “Not restricted by time, money, other people’s permission, I can ideate and experiment in bold and exciting ways.” His experimental videos reflect this approach. “Sora is at its most powerful when you’re not replicating the old but bringing to life new and impossible ideas we would have otherwise never had the opportunity to see.”\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
7001713 | [
"7001713_00.jpg",
"7001713_01.jpg",
"7001713_02.jpg",
"7001713_03.jpg",
"7001713_04.jpg",
"7001713_05.jpg",
"7001713_06.jpg",
"7001713_07.jpg"
] | a group of young peole happy selling snacks cartoon | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001713.mp4 | 2 | 3 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a group of young peole happy selling snacks cartoon\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0002485 | [
"0002485_00.jpg",
"0002485_01.jpg",
"0002485_02.jpg",
"0002485_03.jpg",
"0002485_04.jpg",
"0002485_05.jpg",
"0002485_06.jpg",
"0002485_07.jpg",
"0002485_08.jpg",
"0002485_09.jpg",
"0002485_10.jpg",
"0002485_11.jpg",
"0002485_12.jpg",
"0002485_13.jpg",
"0002485_14.jpg",
"0002485_15.jpg",
"0002485_16.jpg",
"0002485_17.jpg",
"0002485_18.jpg",
"0002485_19.jpg",
"0002485_20.jpg",
"0002485_21.jpg",
"0002485_22.jpg",
"0002485_23.jpg"
] | Yellow waning moon that shines in the night | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002485.mp4 | 3 | 1 | 2 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Yellow waning moon that shines in the night\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
4004850 | [
"4004850_00.jpg",
"4004850_01.jpg",
"4004850_02.jpg",
"4004850_03.jpg",
"4004850_04.jpg",
"4004850_05.jpg",
"4004850_06.jpg",
"4004850_07.jpg",
"4004850_08.jpg",
"4004850_09.jpg",
"4004850_10.jpg",
"4004850_11.jpg",
"4004850_12.jpg",
"4004850_13.jpg",
"4004850_14.jpg",
"4004850_15.jpg"
] | a lake with mountain inthe golden hour | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004850.mp4 | 1 | 3 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a lake with mountain inthe golden hour\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
8002585 | [
"8002585_00.jpg",
"8002585_01.jpg",
"8002585_02.jpg",
"8002585_03.jpg",
"8002585_04.jpg",
"8002585_05.jpg",
"8002585_06.jpg",
"8002585_07.jpg",
"8002585_08.jpg",
"8002585_09.jpg",
"8002585_10.jpg",
"8002585_11.jpg",
"8002585_12.jpg",
"8002585_13.jpg",
"8002585_14.jpg",
"8002585_15.jpg",
"8002585_16.jpg",
"8002585_17.jpg",
"8002585_18.jpg",
"8002585_19.jpg",
"8002585_20.jpg",
"8002585_21.jpg",
"8002585_22.jpg",
"8002585_23.jpg"
] | create a modern logo Message: Eleven Studios (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002585.mp4 | 1 | 3 | 3 | 0 | 2 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"create a modern logo Message: Eleven Studios (Font: MODERN)\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
9000189 | [
"9000189_00.jpg",
"9000189_01.jpg",
"9000189_02.jpg",
"9000189_03.jpg",
"9000189_04.jpg",
"9000189_05.jpg",
"9000189_06.jpg",
"9000189_07.jpg",
"9000189_08.jpg",
"9000189_09.jpg",
"9000189_10.jpg",
"9000189_11.jpg",
"9000189_12.jpg",
"9000189_13.jpg",
"9000189_14.jpg",
"9000189_15.jpg",
"9000189_16.jpg",
"9000189_17.jpg",
"9000189_18.jpg",
"9000189_19.jpg",
"9000189_20.jpg",
"9000189_21.jpg",
"9000189_22.jpg",
"9000189_23.jpg"
] | the most expensive video ever recorded | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000189.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"the most expensive video ever recorded\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
7000662 | [
"7000662_00.jpg",
"7000662_01.jpg",
"7000662_02.jpg",
"7000662_03.jpg",
"7000662_04.jpg",
"7000662_05.jpg",
"7000662_06.jpg",
"7000662_07.jpg"
] | Create a video of a creature happily jumping on a trampoline, the creature is a mix of an adorable dog and Yoda from starwar. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000662.mp4 | 2 | 2 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Create a video of a creature happily jumping on a trampoline, the creature is a mix of an adorable dog and Yoda from starwar.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6001398 | [
"6001398_00.jpg",
"6001398_01.jpg",
"6001398_02.jpg",
"6001398_03.jpg",
"6001398_04.jpg",
"6001398_05.jpg",
"6001398_06.jpg",
"6001398_07.jpg",
"6001398_08.jpg",
"6001398_09.jpg",
"6001398_10.jpg",
"6001398_11.jpg",
"6001398_12.jpg",
"6001398_13.jpg",
"6001398_14.jpg",
"6001398_15.jpg"
] | Dave Grohl as a firefighter climbing up a tree to save a kitten | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001398.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Dave Grohl as a firefighter climbing up a tree to save a kitten\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1000922 | [
"1000922_00.jpg",
"1000922_01.jpg",
"1000922_02.jpg",
"1000922_03.jpg",
"1000922_04.jpg",
"1000922_05.jpg",
"1000922_06.jpg",
"1000922_07.jpg",
"1000922_08.jpg",
"1000922_09.jpg",
"1000922_10.jpg",
"1000922_11.jpg",
"1000922_12.jpg",
"1000922_13.jpg",
"1000922_14.jpg",
"1000922_15.jpg"
] | curly brown haired man in a musuem (his back facing the viewer) looking at a dark haired girl whose sitting on a bench admiring the paintinings while people walk past | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000922.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"curly brown haired man in a musuem (his back facing the viewer) looking at a dark haired girl whose sitting on a bench admiring the paintinings while people walk past\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1004056 | [
"1004056_00.jpg",
"1004056_01.jpg",
"1004056_02.jpg",
"1004056_03.jpg",
"1004056_04.jpg",
"1004056_05.jpg",
"1004056_06.jpg",
"1004056_07.jpg",
"1004056_08.jpg",
"1004056_09.jpg",
"1004056_10.jpg",
"1004056_11.jpg",
"1004056_12.jpg",
"1004056_13.jpg",
"1004056_14.jpg",
"1004056_15.jpg"
] | full body view of girl, because she dropped her ice cream | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004056.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"full body view of girl, because she dropped her ice cream\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
7000871 | [
"7000871_00.jpg",
"7000871_01.jpg",
"7000871_02.jpg",
"7000871_03.jpg",
"7000871_04.jpg",
"7000871_05.jpg",
"7000871_06.jpg",
"7000871_07.jpg"
] | wonder woman eating a piece of pizza sitting on a rustic wooden table | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000871.mp4 | 2 | 2 | 3 | 0 | 2 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"wonder woman eating a piece of pizza sitting on a rustic wooden table\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
0002847 | [
"0002847_00.jpg",
"0002847_01.jpg",
"0002847_02.jpg",
"0002847_03.jpg",
"0002847_04.jpg",
"0002847_05.jpg",
"0002847_06.jpg",
"0002847_07.jpg",
"0002847_08.jpg",
"0002847_09.jpg",
"0002847_10.jpg",
"0002847_11.jpg",
"0002847_12.jpg",
"0002847_13.jpg",
"0002847_14.jpg",
"0002847_15.jpg",
"0002847_16.jpg",
"0002847_17.jpg",
"0002847_18.jpg",
"0002847_19.jpg",
"0002847_20.jpg",
"0002847_21.jpg",
"0002847_22.jpg",
"0002847_23.jpg"
] | boy and girl floating in space in 3D | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002847.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"boy and girl floating in space in 3D\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3005016 | [
"3005016_00.jpg",
"3005016_01.jpg",
"3005016_02.jpg",
"3005016_03.jpg",
"3005016_04.jpg",
"3005016_05.jpg",
"3005016_06.jpg",
"3005016_07.jpg",
"3005016_08.jpg",
"3005016_09.jpg",
"3005016_10.jpg",
"3005016_11.jpg",
"3005016_12.jpg",
"3005016_13.jpg",
"3005016_14.jpg",
"3005016_15.jpg"
] | background moving from right to left, with scene changing from a grassland to a river then to a flower forest | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005016.mp4 | 1 | 2 | 3 | 0 | 2 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"background moving from right to left, with scene changing from a grassland to a river then to a flower forest\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
1006802 | [
"1006802_00.jpg",
"1006802_01.jpg",
"1006802_02.jpg",
"1006802_03.jpg",
"1006802_04.jpg",
"1006802_05.jpg",
"1006802_06.jpg",
"1006802_07.jpg",
"1006802_08.jpg",
"1006802_09.jpg",
"1006802_10.jpg",
"1006802_11.jpg",
"1006802_12.jpg",
"1006802_13.jpg",
"1006802_14.jpg",
"1006802_15.jpg"
] | in a bussing office in new york were people are talking in phone, writing on their computer, and more. High quality video, zoomed out | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006802.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"in a bussing office in new york were people are talking in phone, writing on their computer, and more. High quality video, zoomed out\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3005506 | [
"3005506_00.jpg",
"3005506_01.jpg",
"3005506_02.jpg",
"3005506_03.jpg",
"3005506_04.jpg",
"3005506_05.jpg",
"3005506_06.jpg",
"3005506_07.jpg",
"3005506_08.jpg",
"3005506_09.jpg",
"3005506_10.jpg",
"3005506_11.jpg",
"3005506_12.jpg",
"3005506_13.jpg",
"3005506_14.jpg",
"3005506_15.jpg"
] | a horse parachuting on to the moon in Pixar animation | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005506.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a horse parachuting on to the moon in Pixar animation\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0005058 | [
"0005058_00.jpg",
"0005058_01.jpg",
"0005058_02.jpg",
"0005058_03.jpg",
"0005058_04.jpg",
"0005058_05.jpg",
"0005058_06.jpg",
"0005058_07.jpg",
"0005058_08.jpg",
"0005058_09.jpg",
"0005058_10.jpg",
"0005058_11.jpg",
"0005058_12.jpg",
"0005058_13.jpg",
"0005058_14.jpg",
"0005058_15.jpg",
"0005058_16.jpg",
"0005058_17.jpg",
"0005058_18.jpg",
"0005058_19.jpg",
"0005058_20.jpg",
"0005058_21.jpg",
"0005058_22.jpg",
"0005058_23.jpg"
] | A mani is sleeping 2 hours in a day. He like tea. He also like play football. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005058.mp4 | 3 | 3 | 1 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A mani is sleeping 2 hours in a day. He like tea. He also like play football.\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2001876 | [
"2001876_00.jpg",
"2001876_01.jpg",
"2001876_02.jpg",
"2001876_03.jpg",
"2001876_04.jpg",
"2001876_05.jpg",
"2001876_06.jpg",
"2001876_07.jpg",
"2001876_08.jpg",
"2001876_09.jpg",
"2001876_10.jpg",
"2001876_11.jpg",
"2001876_12.jpg",
"2001876_13.jpg",
"2001876_14.jpg",
"2001876_15.jpg"
] | george rr martin doing the finger snap | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001876.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"george rr martin doing the finger snap\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6001599 | [
"6001599_00.jpg",
"6001599_01.jpg",
"6001599_02.jpg",
"6001599_03.jpg",
"6001599_04.jpg",
"6001599_05.jpg",
"6001599_06.jpg",
"6001599_07.jpg",
"6001599_08.jpg",
"6001599_09.jpg",
"6001599_10.jpg",
"6001599_11.jpg",
"6001599_12.jpg",
"6001599_13.jpg",
"6001599_14.jpg",
"6001599_15.jpg"
] | a trailer of a car racing themed movie shot in pluto | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001599.mp4 | 2 | 2 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a trailer of a car racing themed movie shot in pluto\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
9000851 | [
"9000851_00.jpg",
"9000851_01.jpg",
"9000851_02.jpg",
"9000851_03.jpg",
"9000851_04.jpg",
"9000851_05.jpg",
"9000851_06.jpg",
"9000851_07.jpg",
"9000851_08.jpg",
"9000851_09.jpg",
"9000851_10.jpg",
"9000851_11.jpg",
"9000851_12.jpg",
"9000851_13.jpg",
"9000851_14.jpg",
"9000851_15.jpg",
"9000851_16.jpg",
"9000851_17.jpg",
"9000851_18.jpg",
"9000851_19.jpg",
"9000851_20.jpg",
"9000851_21.jpg",
"9000851_22.jpg",
"9000851_23.jpg"
] | sparrow flying in sky below clouds | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000851.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"sparrow flying in sky below clouds\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
7002431 | [
"7002431_00.jpg",
"7002431_01.jpg",
"7002431_02.jpg",
"7002431_03.jpg",
"7002431_04.jpg",
"7002431_05.jpg",
"7002431_06.jpg",
"7002431_07.jpg"
] | Create a 4K video of a 1500s wedding with attire from the era, nighttime exit from the church, European culture, with a full moon covered in honey in the background. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002431.mp4 | 3 | 3 | 2 | 0 | 2 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Create a 4K video of a 1500s wedding with attire from the era, nighttime exit from the church, European culture, with a full moon covered in honey in the background.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
s000271 | [
"s000271_00.jpg",
"s000271_01.jpg",
"s000271_02.jpg",
"s000271_03.jpg",
"s000271_04.jpg",
"s000271_05.jpg",
"s000271_06.jpg",
"s000271_07.jpg",
"s000271_08.jpg",
"s000271_09.jpg",
"s000271_10.jpg",
"s000271_11.jpg",
"s000271_12.jpg",
"s000271_13.jpg",
"s000271_14.jpg",
"s000271_15.jpg",
"s000271_16.jpg",
"s000271_17.jpg",
"s000271_18.jpg",
"s000271_19.jpg"
] | A housewife woman watching tv, dreaming of food | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000271.mp4 | 4 | 4 | 4 | 0 | 4 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A housewife woman watching tv, dreaming of food\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n"
}
] |
2001770 | [
"2001770_00.jpg",
"2001770_01.jpg",
"2001770_02.jpg",
"2001770_03.jpg",
"2001770_04.jpg",
"2001770_05.jpg",
"2001770_06.jpg",
"2001770_07.jpg",
"2001770_08.jpg",
"2001770_09.jpg",
"2001770_10.jpg",
"2001770_11.jpg",
"2001770_12.jpg",
"2001770_13.jpg",
"2001770_14.jpg",
"2001770_15.jpg"
] | a man who runs down the street in the rain and people look at him | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001770.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a man who runs down the street in the rain and people look at him\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3002388 | [
"3002388_00.jpg",
"3002388_01.jpg",
"3002388_02.jpg",
"3002388_03.jpg",
"3002388_04.jpg",
"3002388_05.jpg",
"3002388_06.jpg",
"3002388_07.jpg",
"3002388_08.jpg",
"3002388_09.jpg",
"3002388_10.jpg",
"3002388_11.jpg",
"3002388_12.jpg",
"3002388_13.jpg",
"3002388_14.jpg",
"3002388_15.jpg"
] | ghibli style, a girl walking in a common bean field, the plant full of beans, blue sky and white clouds. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002388.mp4 | 2 | 1 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"ghibli style, a girl walking in a common bean field, the plant full of beans, blue sky and white clouds.\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1001700 | [
"1001700_00.jpg",
"1001700_01.jpg",
"1001700_02.jpg",
"1001700_03.jpg",
"1001700_04.jpg",
"1001700_05.jpg",
"1001700_06.jpg",
"1001700_07.jpg",
"1001700_08.jpg",
"1001700_09.jpg",
"1001700_10.jpg",
"1001700_11.jpg",
"1001700_12.jpg",
"1001700_13.jpg",
"1001700_14.jpg",
"1001700_15.jpg"
] | A Jungle Scene
Show a lush green jungle setting with tall trees and various animals like elephants, rabbits, birds, and a small boy named Raj exploring. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001700.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A Jungle Scene\n\nShow a lush green jungle setting with tall trees and various animals like elephants, rabbits, birds, and a small boy named Raj exploring.\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0002636 | [
"0002636_00.jpg",
"0002636_01.jpg",
"0002636_02.jpg",
"0002636_03.jpg",
"0002636_04.jpg",
"0002636_05.jpg",
"0002636_06.jpg",
"0002636_07.jpg",
"0002636_08.jpg",
"0002636_09.jpg",
"0002636_10.jpg",
"0002636_11.jpg",
"0002636_12.jpg",
"0002636_13.jpg",
"0002636_14.jpg",
"0002636_15.jpg",
"0002636_16.jpg",
"0002636_17.jpg",
"0002636_18.jpg",
"0002636_19.jpg",
"0002636_20.jpg",
"0002636_21.jpg",
"0002636_22.jpg",
"0002636_23.jpg"
] | liminal space horror with elf screaming | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002636.mp4 | 3 | 3 | 1 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"liminal space horror with elf screaming\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1001676 | [
"1001676_00.jpg",
"1001676_01.jpg",
"1001676_02.jpg",
"1001676_03.jpg",
"1001676_04.jpg",
"1001676_05.jpg",
"1001676_06.jpg",
"1001676_07.jpg",
"1001676_08.jpg",
"1001676_09.jpg",
"1001676_10.jpg",
"1001676_11.jpg",
"1001676_12.jpg",
"1001676_13.jpg",
"1001676_14.jpg",
"1001676_15.jpg"
] | She played with the younger children, making them smile with her warm laughter. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001676.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"She played with the younger children, making them smile with her warm laughter.\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1002348 | [
"1002348_00.jpg",
"1002348_01.jpg",
"1002348_02.jpg",
"1002348_03.jpg",
"1002348_04.jpg",
"1002348_05.jpg",
"1002348_06.jpg",
"1002348_07.jpg",
"1002348_08.jpg",
"1002348_09.jpg",
"1002348_10.jpg",
"1002348_11.jpg",
"1002348_12.jpg",
"1002348_13.jpg",
"1002348_14.jpg",
"1002348_15.jpg"
] | a luxury bedroom with outside rain in 4k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002348.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a luxury bedroom with outside rain in 4k\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0001895 | [
"0001895_00.jpg",
"0001895_01.jpg",
"0001895_02.jpg",
"0001895_03.jpg",
"0001895_04.jpg",
"0001895_05.jpg",
"0001895_06.jpg",
"0001895_07.jpg",
"0001895_08.jpg",
"0001895_09.jpg",
"0001895_10.jpg",
"0001895_11.jpg",
"0001895_12.jpg",
"0001895_13.jpg",
"0001895_14.jpg",
"0001895_15.jpg",
"0001895_16.jpg",
"0001895_17.jpg",
"0001895_18.jpg",
"0001895_19.jpg",
"0001895_20.jpg",
"0001895_21.jpg",
"0001895_22.jpg",
"0001895_23.jpg"
] | this close-up shot of a futuristic cybernetic german shepherd showcases its striking brown and black fur. its chest and head have robotic modifications while its eye is a striking black color with futuristic digital altercations. the dog's head is tilted slightly to the side, giving the impression of it looking regal and majestic. the neon background is blurred, drawing attention to the dog's striking appearance | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001895.mp4 | 2 | 2 | 2 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"this close-up shot of a futuristic cybernetic german shepherd showcases its striking brown and black fur. its chest and head have robotic modifications while its eye is a striking black color with futuristic digital altercations. the dog's head is tilted slightly to the side, giving the impression of it looking regal and majestic. the neon background is blurred, drawing attention to the dog's striking appearance\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2004608 | [
"2004608_00.jpg",
"2004608_01.jpg",
"2004608_02.jpg",
"2004608_03.jpg",
"2004608_04.jpg",
"2004608_05.jpg",
"2004608_06.jpg",
"2004608_07.jpg",
"2004608_08.jpg",
"2004608_09.jpg",
"2004608_10.jpg",
"2004608_11.jpg",
"2004608_12.jpg",
"2004608_13.jpg",
"2004608_14.jpg",
"2004608_15.jpg"
] | Observe dolphins using a rich repertoire of clicks, whistles, and expressive body movements to convey their thoughts and feelings to one another. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004608.mp4 | 3 | 3 | 3 | 0 | 2 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Observe dolphins using a rich repertoire of clicks, whistles, and expressive body movements to convey their thoughts and feelings to one another.\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
2005824 | [
"2005824_00.jpg",
"2005824_01.jpg",
"2005824_02.jpg",
"2005824_03.jpg",
"2005824_04.jpg",
"2005824_05.jpg",
"2005824_06.jpg",
"2005824_07.jpg",
"2005824_08.jpg",
"2005824_09.jpg",
"2005824_10.jpg",
"2005824_11.jpg",
"2005824_12.jpg",
"2005824_13.jpg",
"2005824_14.jpg",
"2005824_15.jpg"
] | a girl with a Christmas hat on the PC, typing | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005824.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a girl with a Christmas hat on the PC, typing\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1001484 | [
"1001484_00.jpg",
"1001484_01.jpg",
"1001484_02.jpg",
"1001484_03.jpg",
"1001484_04.jpg",
"1001484_05.jpg",
"1001484_06.jpg",
"1001484_07.jpg",
"1001484_08.jpg",
"1001484_09.jpg",
"1001484_10.jpg",
"1001484_11.jpg",
"1001484_12.jpg",
"1001484_13.jpg",
"1001484_14.jpg",
"1001484_15.jpg"
] | dinosaurus in a volcan trying to drink | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001484.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"dinosaurus in a volcan trying to drink\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
5000438 | [
"5000438_00.jpg",
"5000438_01.jpg",
"5000438_02.jpg",
"5000438_03.jpg",
"5000438_04.jpg",
"5000438_05.jpg",
"5000438_06.jpg",
"5000438_07.jpg",
"5000438_08.jpg",
"5000438_09.jpg",
"5000438_10.jpg",
"5000438_11.jpg",
"5000438_12.jpg",
"5000438_13.jpg",
"5000438_14.jpg",
"5000438_15.jpg"
] | anime style of water coming from a tab | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000438.mp4 | 3 | 1 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"anime style of water coming from a tab\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
5000536 | [
"5000536_00.jpg",
"5000536_01.jpg",
"5000536_02.jpg",
"5000536_03.jpg",
"5000536_04.jpg",
"5000536_05.jpg",
"5000536_06.jpg",
"5000536_07.jpg",
"5000536_08.jpg",
"5000536_09.jpg",
"5000536_10.jpg",
"5000536_11.jpg",
"5000536_12.jpg",
"5000536_13.jpg",
"5000536_14.jpg",
"5000536_15.jpg"
] | beach with letters on the beach Message: k (Font: BAUHAUS) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000536.mp4 | 3 | 3 | 1 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"beach with letters on the beach Message: k (Font: BAUHAUS)\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0003743 | [
"0003743_00.jpg",
"0003743_01.jpg",
"0003743_02.jpg",
"0003743_03.jpg",
"0003743_04.jpg",
"0003743_05.jpg",
"0003743_06.jpg",
"0003743_07.jpg",
"0003743_08.jpg",
"0003743_09.jpg",
"0003743_10.jpg",
"0003743_11.jpg",
"0003743_12.jpg",
"0003743_13.jpg",
"0003743_14.jpg",
"0003743_15.jpg",
"0003743_16.jpg",
"0003743_17.jpg",
"0003743_18.jpg",
"0003743_19.jpg",
"0003743_20.jpg",
"0003743_21.jpg",
"0003743_22.jpg",
"0003743_23.jpg"
] | Jets and ufos are in a space battle. Scifi. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003743.mp4 | 3 | 3 | 3 | 0 | 2 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Jets and ufos are in a space battle. Scifi.\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
1005346 | [
"1005346_00.jpg",
"1005346_01.jpg",
"1005346_02.jpg",
"1005346_03.jpg",
"1005346_04.jpg",
"1005346_05.jpg",
"1005346_06.jpg",
"1005346_07.jpg",
"1005346_08.jpg",
"1005346_09.jpg",
"1005346_10.jpg",
"1005346_11.jpg",
"1005346_12.jpg",
"1005346_13.jpg",
"1005346_14.jpg",
"1005346_15.jpg"
] | When a woman opened the door, she was Stunned | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005346.mp4 | 2 | 2 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"When a woman opened the door, she was Stunned\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0003795 | [
"0003795_00.jpg",
"0003795_01.jpg",
"0003795_02.jpg",
"0003795_03.jpg",
"0003795_04.jpg",
"0003795_05.jpg",
"0003795_06.jpg",
"0003795_07.jpg",
"0003795_08.jpg",
"0003795_09.jpg",
"0003795_10.jpg",
"0003795_11.jpg",
"0003795_12.jpg",
"0003795_13.jpg",
"0003795_14.jpg",
"0003795_15.jpg",
"0003795_16.jpg",
"0003795_17.jpg",
"0003795_18.jpg",
"0003795_19.jpg",
"0003795_20.jpg",
"0003795_21.jpg",
"0003795_22.jpg",
"0003795_23.jpg"
] | football rotate on the head of turtle. 3d animation, dynamic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003795.mp4 | 4 | 4 | 4 | 0 | 4 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"football rotate on the head of turtle. 3d animation, dynamic\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n"
}
] |
6000211 | [
"6000211_00.jpg",
"6000211_01.jpg",
"6000211_02.jpg",
"6000211_03.jpg",
"6000211_04.jpg",
"6000211_05.jpg",
"6000211_06.jpg",
"6000211_07.jpg",
"6000211_08.jpg",
"6000211_09.jpg",
"6000211_10.jpg",
"6000211_11.jpg",
"6000211_12.jpg",
"6000211_13.jpg",
"6000211_14.jpg",
"6000211_15.jpg"
] | Create a collage of images showing Abyssinian cats engaged in interactive play, emphasizing their lively and inquisitive behavior. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000211.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Create a collage of images showing Abyssinian cats engaged in interactive play, emphasizing their lively and inquisitive behavior.\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
6001436 | [
"6001436_00.jpg",
"6001436_01.jpg",
"6001436_02.jpg",
"6001436_03.jpg",
"6001436_04.jpg",
"6001436_05.jpg",
"6001436_06.jpg",
"6001436_07.jpg",
"6001436_08.jpg",
"6001436_09.jpg",
"6001436_10.jpg",
"6001436_11.jpg",
"6001436_12.jpg",
"6001436_13.jpg",
"6001436_14.jpg",
"6001436_15.jpg"
] | moving sea elements, clouds running across the sky, the flight of soaring birds. Message: trioband (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001436.mp4 | 1 | 3 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"moving sea elements, clouds running across the sky, the flight of soaring birds. Message: trioband (Font: MODERN)\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2000693 | [
"2000693_00.jpg",
"2000693_01.jpg",
"2000693_02.jpg",
"2000693_03.jpg",
"2000693_04.jpg",
"2000693_05.jpg",
"2000693_06.jpg",
"2000693_07.jpg",
"2000693_08.jpg",
"2000693_09.jpg",
"2000693_10.jpg",
"2000693_11.jpg",
"2000693_12.jpg",
"2000693_13.jpg",
"2000693_14.jpg",
"2000693_15.jpg"
] | At the top of a snowy mountain, a white fox sat alone in the white snow, watching the distant moonlight. The moon hung like a pearl in the silent night sky. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000693.mp4 | 3 | 2 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"At the top of a snowy mountain, a white fox sat alone in the white snow, watching the distant moonlight. The moon hung like a pearl in the silent night sky.\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0005031 | [
"0005031_00.jpg",
"0005031_01.jpg",
"0005031_02.jpg",
"0005031_03.jpg",
"0005031_04.jpg",
"0005031_05.jpg",
"0005031_06.jpg",
"0005031_07.jpg",
"0005031_08.jpg",
"0005031_09.jpg",
"0005031_10.jpg",
"0005031_11.jpg",
"0005031_12.jpg",
"0005031_13.jpg",
"0005031_14.jpg",
"0005031_15.jpg",
"0005031_16.jpg",
"0005031_17.jpg",
"0005031_18.jpg",
"0005031_19.jpg",
"0005031_20.jpg",
"0005031_21.jpg",
"0005031_22.jpg",
"0005031_23.jpg"
] | Show the flight of a very beautiful bird | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005031.mp4 | 2 | 2 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Show the flight of a very beautiful bird\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0002781 | [
"0002781_00.jpg",
"0002781_01.jpg",
"0002781_02.jpg",
"0002781_03.jpg",
"0002781_04.jpg",
"0002781_05.jpg",
"0002781_06.jpg",
"0002781_07.jpg",
"0002781_08.jpg",
"0002781_09.jpg",
"0002781_10.jpg",
"0002781_11.jpg",
"0002781_12.jpg",
"0002781_13.jpg",
"0002781_14.jpg",
"0002781_15.jpg",
"0002781_16.jpg",
"0002781_17.jpg",
"0002781_18.jpg",
"0002781_19.jpg",
"0002781_20.jpg",
"0002781_21.jpg",
"0002781_22.jpg",
"0002781_23.jpg"
] | gas station | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002781.mp4 | 3 | 1 | 1 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"gas station\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
9000747 | [
"9000747_00.jpg",
"9000747_01.jpg",
"9000747_02.jpg",
"9000747_03.jpg",
"9000747_04.jpg",
"9000747_05.jpg",
"9000747_06.jpg",
"9000747_07.jpg",
"9000747_08.jpg",
"9000747_09.jpg",
"9000747_10.jpg",
"9000747_11.jpg",
"9000747_12.jpg",
"9000747_13.jpg",
"9000747_14.jpg",
"9000747_15.jpg",
"9000747_16.jpg",
"9000747_17.jpg",
"9000747_18.jpg",
"9000747_19.jpg",
"9000747_20.jpg",
"9000747_21.jpg",
"9000747_22.jpg",
"9000747_23.jpg"
] | make a vedio a fishing man | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000747.mp4 | 2 | 1 | 3 | 0 | 1 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"make a vedio a fishing man\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2003734 | [
"2003734_00.jpg",
"2003734_01.jpg",
"2003734_02.jpg",
"2003734_03.jpg",
"2003734_04.jpg",
"2003734_05.jpg",
"2003734_06.jpg",
"2003734_07.jpg",
"2003734_08.jpg",
"2003734_09.jpg",
"2003734_10.jpg",
"2003734_11.jpg",
"2003734_12.jpg",
"2003734_13.jpg",
"2003734_14.jpg",
"2003734_15.jpg"
] | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003734.mp4 | 3 | 2 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
|
4004698 | [
"4004698_00.jpg",
"4004698_01.jpg",
"4004698_02.jpg",
"4004698_03.jpg",
"4004698_04.jpg",
"4004698_05.jpg",
"4004698_06.jpg",
"4004698_07.jpg",
"4004698_08.jpg",
"4004698_09.jpg",
"4004698_10.jpg",
"4004698_11.jpg",
"4004698_12.jpg",
"4004698_13.jpg",
"4004698_14.jpg",
"4004698_15.jpg"
] | a chair on which Genghis Khan sits | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004698.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"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 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a chair on which Genghis Khan sits\",\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> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
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