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
|
---|---|---|---|---|---|---|---|---|---|
5000823 | [
"5000823_00.jpg",
"5000823_01.jpg",
"5000823_02.jpg",
"5000823_03.jpg",
"5000823_04.jpg",
"5000823_05.jpg",
"5000823_06.jpg",
"5000823_07.jpg",
"5000823_08.jpg",
"5000823_09.jpg",
"5000823_10.jpg",
"5000823_11.jpg",
"5000823_12.jpg",
"5000823_13.jpg",
"5000823_14.jpg",
"5000823_15.jpg"
] | dogecoin dog looking to the moon from the couch | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000823.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 \"dogecoin dog looking to the moon from the couch\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
2005579 | [
"2005579_00.jpg",
"2005579_01.jpg",
"2005579_02.jpg",
"2005579_03.jpg",
"2005579_04.jpg",
"2005579_05.jpg",
"2005579_06.jpg",
"2005579_07.jpg",
"2005579_08.jpg",
"2005579_09.jpg",
"2005579_10.jpg",
"2005579_11.jpg",
"2005579_12.jpg",
"2005579_13.jpg",
"2005579_14.jpg",
"2005579_15.jpg"
] | cool teen boy with long hair on the beach | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005579.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 \"cool teen boy with long hair on the beach\",\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: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6001702 | [
"6001702_00.jpg",
"6001702_01.jpg",
"6001702_02.jpg",
"6001702_03.jpg",
"6001702_04.jpg",
"6001702_05.jpg",
"6001702_06.jpg",
"6001702_07.jpg",
"6001702_08.jpg",
"6001702_09.jpg",
"6001702_10.jpg",
"6001702_11.jpg",
"6001702_12.jpg",
"6001702_13.jpg",
"6001702_14.jpg",
"6001702_15.jpg"
] | chewbacca is at a rave which is lit by blacklight and neon paint. Chewbacca is dancing fast. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001702.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 \"chewbacca is at a rave which is lit by blacklight and neon paint. Chewbacca is dancing fast.\",\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"
}
] |
4001863 | [
"4001863_00.jpg",
"4001863_01.jpg",
"4001863_02.jpg",
"4001863_03.jpg",
"4001863_04.jpg",
"4001863_05.jpg",
"4001863_06.jpg",
"4001863_07.jpg",
"4001863_08.jpg",
"4001863_09.jpg",
"4001863_10.jpg",
"4001863_11.jpg",
"4001863_12.jpg",
"4001863_13.jpg",
"4001863_14.jpg",
"4001863_15.jpg"
] | goku talking to his father bardock on earth in front of taj mahal | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001863.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 \"goku talking to his father bardock on earth in front of taj mahal\",\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"
}
] |
8000390 | [
"8000390_00.jpg",
"8000390_01.jpg",
"8000390_02.jpg",
"8000390_03.jpg",
"8000390_04.jpg",
"8000390_05.jpg",
"8000390_06.jpg",
"8000390_07.jpg",
"8000390_08.jpg",
"8000390_09.jpg",
"8000390_10.jpg",
"8000390_11.jpg",
"8000390_12.jpg",
"8000390_13.jpg",
"8000390_14.jpg",
"8000390_15.jpg",
"8000390_16.jpg",
"8000390_17.jpg",
"8000390_18.jpg",
"8000390_19.jpg",
"8000390_20.jpg",
"8000390_21.jpg",
"8000390_22.jpg",
"8000390_23.jpg"
] | This palace was built with different types of precious stones, has a large dome and many pillars, In the palace there are many rooms, halls, swimming pools and gardens | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000390.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 \"This palace was built with different types of precious stones, has a large dome and many pillars, In the palace there are many rooms, halls, swimming pools and gardens\",\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: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0002000 | [
"0002000_00.jpg",
"0002000_01.jpg",
"0002000_02.jpg",
"0002000_03.jpg",
"0002000_04.jpg",
"0002000_05.jpg",
"0002000_06.jpg",
"0002000_07.jpg",
"0002000_08.jpg",
"0002000_09.jpg",
"0002000_10.jpg",
"0002000_11.jpg",
"0002000_12.jpg",
"0002000_13.jpg",
"0002000_14.jpg",
"0002000_15.jpg",
"0002000_16.jpg",
"0002000_17.jpg",
"0002000_18.jpg",
"0002000_19.jpg",
"0002000_20.jpg",
"0002000_21.jpg",
"0002000_22.jpg",
"0002000_23.jpg"
] | wabanaki standing overview of foggy river | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002000.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 \"wabanaki standing overview of foggy river\",\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: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
s000066 | [
"s000066_00.jpg",
"s000066_01.jpg",
"s000066_02.jpg",
"s000066_03.jpg",
"s000066_04.jpg",
"s000066_05.jpg",
"s000066_06.jpg",
"s000066_07.jpg",
"s000066_08.jpg",
"s000066_09.jpg",
"s000066_10.jpg",
"s000066_11.jpg",
"s000066_12.jpg",
"s000066_13.jpg",
"s000066_14.jpg",
"s000066_15.jpg",
"s000066_16.jpg",
"s000066_17.jpg",
"s000066_18.jpg",
"s000066_19.jpg"
] | a girl sitting at the beach, her hair is blowing in the wind. She is crying | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000066.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 girl sitting at the beach, her hair is blowing in the wind. She is crying\",\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"
}
] |
4000227 | [
"4000227_00.jpg",
"4000227_01.jpg",
"4000227_02.jpg",
"4000227_03.jpg",
"4000227_04.jpg",
"4000227_05.jpg",
"4000227_06.jpg",
"4000227_07.jpg",
"4000227_08.jpg",
"4000227_09.jpg",
"4000227_10.jpg",
"4000227_11.jpg",
"4000227_12.jpg",
"4000227_13.jpg",
"4000227_14.jpg",
"4000227_15.jpg"
] | Sarah and Mark, alone in their new home, exchange glances as they feel an unexplained presence. The camera pans slowly, revealing subtle shadows and ghostly figures lurking in the corners, heightening the atmosphere of unease. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000227.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 \"Sarah and Mark, alone in their new home, exchange glances as they feel an unexplained presence. The camera pans slowly, revealing subtle shadows and ghostly figures lurking in the corners, heightening the atmosphere of unease.\",\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"
}
] |
9000949 | [
"9000949_00.jpg",
"9000949_01.jpg",
"9000949_02.jpg",
"9000949_03.jpg",
"9000949_04.jpg",
"9000949_05.jpg",
"9000949_06.jpg",
"9000949_07.jpg",
"9000949_08.jpg",
"9000949_09.jpg",
"9000949_10.jpg",
"9000949_11.jpg",
"9000949_12.jpg",
"9000949_13.jpg",
"9000949_14.jpg",
"9000949_15.jpg",
"9000949_16.jpg",
"9000949_17.jpg",
"9000949_18.jpg",
"9000949_19.jpg",
"9000949_20.jpg",
"9000949_21.jpg",
"9000949_22.jpg",
"9000949_23.jpg"
] | Action Sequence: Emerson in a chase or confrontation, perhaps in an alleyway. While the setting and action are realistically depicted, the noir style could manifest in the dramatic interplay of light and shadow. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000949.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 \"Action Sequence: Emerson in a chase or confrontation, perhaps in an alleyway. While the setting and action are realistically depicted, the noir style could manifest in the dramatic interplay of light and shadow.\",\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"
}
] |
7001588 | [
"7001588_00.jpg",
"7001588_01.jpg",
"7001588_02.jpg",
"7001588_03.jpg",
"7001588_04.jpg",
"7001588_05.jpg",
"7001588_06.jpg",
"7001588_07.jpg"
] | blue water, waves, stream, something liquid | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001588.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 \"blue water, waves, stream, something liquid\",\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: 3\n"
}
] |
3001527 | [
"3001527_00.jpg",
"3001527_01.jpg",
"3001527_02.jpg",
"3001527_03.jpg",
"3001527_04.jpg",
"3001527_05.jpg",
"3001527_06.jpg",
"3001527_07.jpg",
"3001527_08.jpg",
"3001527_09.jpg",
"3001527_10.jpg",
"3001527_11.jpg",
"3001527_12.jpg",
"3001527_13.jpg",
"3001527_14.jpg",
"3001527_15.jpg"
] | baking together and making a mess with flour everywhere,pixar style,4k , Cartoon | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001527.mp4 | 2 | 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 \"baking together and making a mess with flour everywhere,pixar style,4k , Cartoon\",\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: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3004888 | [
"3004888_00.jpg",
"3004888_01.jpg",
"3004888_02.jpg",
"3004888_03.jpg",
"3004888_04.jpg",
"3004888_05.jpg",
"3004888_06.jpg",
"3004888_07.jpg",
"3004888_08.jpg",
"3004888_09.jpg",
"3004888_10.jpg",
"3004888_11.jpg",
"3004888_12.jpg",
"3004888_13.jpg",
"3004888_14.jpg",
"3004888_15.jpg"
] | women playing volleyball at the beach | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004888.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 \"women playing volleyball at the beach\",\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"
}
] |
3002258 | [
"3002258_00.jpg",
"3002258_01.jpg",
"3002258_02.jpg",
"3002258_03.jpg",
"3002258_04.jpg",
"3002258_05.jpg",
"3002258_06.jpg",
"3002258_07.jpg",
"3002258_08.jpg",
"3002258_09.jpg",
"3002258_10.jpg",
"3002258_11.jpg",
"3002258_12.jpg",
"3002258_13.jpg",
"3002258_14.jpg",
"3002258_15.jpg"
] | A store that sells PlayStation game CDs | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002258.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 \"A store that sells PlayStation game CDs\",\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"
}
] |
4000359 | [
"4000359_00.jpg",
"4000359_01.jpg",
"4000359_02.jpg",
"4000359_03.jpg",
"4000359_04.jpg",
"4000359_05.jpg",
"4000359_06.jpg",
"4000359_07.jpg",
"4000359_08.jpg",
"4000359_09.jpg",
"4000359_10.jpg",
"4000359_11.jpg",
"4000359_12.jpg",
"4000359_13.jpg",
"4000359_14.jpg",
"4000359_15.jpg"
] | The Importance of Early Detection: Visuals: Infographics illustrating the progression of Fatty Liver and the impact of early detection. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000359.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 \"The Importance of Early Detection: Visuals: Infographics illustrating the progression of Fatty Liver and the impact of early detection.\",\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"
}
] |
2005932 | [
"2005932_00.jpg",
"2005932_01.jpg",
"2005932_02.jpg",
"2005932_03.jpg",
"2005932_04.jpg",
"2005932_05.jpg",
"2005932_06.jpg",
"2005932_07.jpg",
"2005932_08.jpg",
"2005932_09.jpg",
"2005932_10.jpg",
"2005932_11.jpg",
"2005932_12.jpg",
"2005932_13.jpg",
"2005932_14.jpg",
"2005932_15.jpg"
] | a shot from the mountains looking at the sunrise over las vegas nevada | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005932.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 shot from the mountains looking at the sunrise over las vegas nevada\",\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"
}
] |
7000933 | [
"7000933_00.jpg",
"7000933_01.jpg",
"7000933_02.jpg",
"7000933_03.jpg",
"7000933_04.jpg",
"7000933_05.jpg",
"7000933_06.jpg",
"7000933_07.jpg"
] | Once upon a time, two brothers used to live in Persia. Their names were Ali Baba and Kassim. Kassim was the older brother. After their father’s death, Kassim said that it wasn’t Ali Baba’s home anymore. So, Ali Baba fled his home and climbed up the mountain to find forty thieves. The 40 thieves stood in front of the large rock and said, “OPEN SEESAME!” These magic words opened the rock, and the 40 thieves entered the cave. “What a sight!” Ali Baba thought. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000933.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 \"Once upon a time, two brothers used to live in Persia. Their names were Ali Baba and Kassim. Kassim was the older brother. After their father’s death, Kassim said that it wasn’t Ali Baba’s home anymore. So, Ali Baba fled his home and climbed up the mountain to find forty thieves. The 40 thieves stood in front of the large rock and said, “OPEN SEESAME!” These magic words opened the rock, and the 40 thieves entered the cave. “What a sight!” Ali Baba thought.\",\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"
}
] |
9000598 | [
"9000598_00.jpg",
"9000598_01.jpg",
"9000598_02.jpg",
"9000598_03.jpg",
"9000598_04.jpg",
"9000598_05.jpg",
"9000598_06.jpg",
"9000598_07.jpg",
"9000598_08.jpg",
"9000598_09.jpg",
"9000598_10.jpg",
"9000598_11.jpg",
"9000598_12.jpg",
"9000598_13.jpg",
"9000598_14.jpg",
"9000598_15.jpg",
"9000598_16.jpg",
"9000598_17.jpg",
"9000598_18.jpg",
"9000598_19.jpg",
"9000598_20.jpg",
"9000598_21.jpg",
"9000598_22.jpg",
"9000598_23.jpg"
] | Shuttle through the letter i, entering a brand new primitive world. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000598.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 \"Shuttle through the letter i, entering a brand new primitive world.\",\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"
}
] |
2001929 | [
"2001929_00.jpg",
"2001929_01.jpg",
"2001929_02.jpg",
"2001929_03.jpg",
"2001929_04.jpg",
"2001929_05.jpg",
"2001929_06.jpg",
"2001929_07.jpg",
"2001929_08.jpg",
"2001929_09.jpg",
"2001929_10.jpg",
"2001929_11.jpg",
"2001929_12.jpg",
"2001929_13.jpg",
"2001929_14.jpg",
"2001929_15.jpg"
] | In a still frame, amidst the hushed ambiance of the traditional tea room, a meticulously arranged tea set awaited, with porcelain cups, a bamboo whisk | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001929.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 \"In a still frame, amidst the hushed ambiance of the traditional tea room, a meticulously arranged tea set awaited, with porcelain cups, a bamboo whisk\",\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"
}
] |
4002911 | [
"4002911_00.jpg",
"4002911_01.jpg",
"4002911_02.jpg",
"4002911_03.jpg",
"4002911_04.jpg",
"4002911_05.jpg",
"4002911_06.jpg",
"4002911_07.jpg",
"4002911_08.jpg",
"4002911_09.jpg",
"4002911_10.jpg",
"4002911_11.jpg",
"4002911_12.jpg",
"4002911_13.jpg",
"4002911_14.jpg",
"4002911_15.jpg"
] | We all want our mind to be creative, and as soon as a particular thought comes to our mind, | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002911.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 \"We all want our mind to be creative, and as soon as a particular thought comes to our mind,\",\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"
}
] |
1004446 | [
"1004446_00.jpg",
"1004446_01.jpg",
"1004446_02.jpg",
"1004446_03.jpg",
"1004446_04.jpg",
"1004446_05.jpg",
"1004446_06.jpg",
"1004446_07.jpg",
"1004446_08.jpg",
"1004446_09.jpg",
"1004446_10.jpg",
"1004446_11.jpg",
"1004446_12.jpg",
"1004446_13.jpg",
"1004446_14.jpg",
"1004446_15.jpg"
] | a lego rose growing and blooming 9:16 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004446.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 lego rose growing and blooming 9:16\",\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"
}
] |
1002864 | [
"1002864_00.jpg",
"1002864_01.jpg",
"1002864_02.jpg",
"1002864_03.jpg",
"1002864_04.jpg",
"1002864_05.jpg",
"1002864_06.jpg",
"1002864_07.jpg",
"1002864_08.jpg",
"1002864_09.jpg",
"1002864_10.jpg",
"1002864_11.jpg",
"1002864_12.jpg",
"1002864_13.jpg",
"1002864_14.jpg",
"1002864_15.jpg"
] | 16k srgb 3d minecraft style character boy jumping up in the air, freeze frame caught in the jump, feet of the ground, in a surreal minecraft rendered world | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002864.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 \"16k srgb 3d minecraft style character boy jumping up in the air, freeze frame caught in the jump, feet of the ground, in a surreal minecraft rendered world\",\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"
}
] |
s000170 | [
"s000170_00.jpg",
"s000170_01.jpg",
"s000170_02.jpg",
"s000170_03.jpg",
"s000170_04.jpg",
"s000170_05.jpg",
"s000170_06.jpg",
"s000170_07.jpg",
"s000170_08.jpg",
"s000170_09.jpg",
"s000170_10.jpg",
"s000170_11.jpg",
"s000170_12.jpg",
"s000170_13.jpg",
"s000170_14.jpg",
"s000170_15.jpg",
"s000170_16.jpg",
"s000170_17.jpg",
"s000170_18.jpg",
"s000170_19.jpg"
] | Create video having Crocodiles sitting on trees full of monkeys | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000170.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 \"Create video having Crocodiles sitting on trees full of monkeys\",\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"
}
] |
2002654 | [
"2002654_00.jpg",
"2002654_01.jpg",
"2002654_02.jpg",
"2002654_03.jpg",
"2002654_04.jpg",
"2002654_05.jpg",
"2002654_06.jpg",
"2002654_07.jpg",
"2002654_08.jpg",
"2002654_09.jpg",
"2002654_10.jpg",
"2002654_11.jpg",
"2002654_12.jpg",
"2002654_13.jpg",
"2002654_14.jpg",
"2002654_15.jpg"
] | Hatsune Miku smiling while holding a white goose | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002654.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 \"Hatsune Miku smiling while holding a white goose\",\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: 3\n"
}
] |
3001650 | [
"3001650_00.jpg",
"3001650_01.jpg",
"3001650_02.jpg",
"3001650_03.jpg",
"3001650_04.jpg",
"3001650_05.jpg",
"3001650_06.jpg",
"3001650_07.jpg",
"3001650_08.jpg",
"3001650_09.jpg",
"3001650_10.jpg",
"3001650_11.jpg",
"3001650_12.jpg",
"3001650_13.jpg",
"3001650_14.jpg",
"3001650_15.jpg"
] | the Helicarrier, flying above a city skyline, photorealistic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001650.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 \"the Helicarrier, flying above a city skyline, 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> "
},
{
"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"
}
] |
6002763 | [
"6002763_00.jpg",
"6002763_01.jpg",
"6002763_02.jpg",
"6002763_03.jpg",
"6002763_04.jpg",
"6002763_05.jpg",
"6002763_06.jpg",
"6002763_07.jpg",
"6002763_08.jpg",
"6002763_09.jpg",
"6002763_10.jpg",
"6002763_11.jpg",
"6002763_12.jpg",
"6002763_13.jpg",
"6002763_14.jpg",
"6002763_15.jpg"
] | on Friday, waiting to get off work | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002763.mp4 | 1 | 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 \"on Friday, waiting to get off work\",\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: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
7000552 | [
"7000552_00.jpg",
"7000552_01.jpg",
"7000552_02.jpg",
"7000552_03.jpg",
"7000552_04.jpg",
"7000552_05.jpg",
"7000552_06.jpg",
"7000552_07.jpg"
] | Gothic 2 on unreal engine 5 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000552.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 \"Gothic 2 on unreal engine 5\",\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"
}
] |
1002596 | [
"1002596_00.jpg",
"1002596_01.jpg",
"1002596_02.jpg",
"1002596_03.jpg",
"1002596_04.jpg",
"1002596_05.jpg",
"1002596_06.jpg",
"1002596_07.jpg",
"1002596_08.jpg",
"1002596_09.jpg",
"1002596_10.jpg",
"1002596_11.jpg",
"1002596_12.jpg",
"1002596_13.jpg",
"1002596_14.jpg",
"1002596_15.jpg"
] | American House in Texas, porch, in the porch there is a USA flag hanging Message: Rushmore Rose (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002596.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 \"American House in Texas, porch, in the porch there is a USA flag hanging Message: Rushmore Rose (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: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3000221 | [
"3000221_00.jpg",
"3000221_01.jpg",
"3000221_02.jpg",
"3000221_03.jpg",
"3000221_04.jpg",
"3000221_05.jpg",
"3000221_06.jpg",
"3000221_07.jpg",
"3000221_08.jpg",
"3000221_09.jpg",
"3000221_10.jpg",
"3000221_11.jpg",
"3000221_12.jpg",
"3000221_13.jpg",
"3000221_14.jpg",
"3000221_15.jpg"
] | video of someone introducing a bio medical cortisol sensor | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000221.mp4 | 2 | 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 \"video of someone introducing a bio medical cortisol sensor\",\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: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
1001349 | [
"1001349_00.jpg",
"1001349_01.jpg",
"1001349_02.jpg",
"1001349_03.jpg",
"1001349_04.jpg",
"1001349_05.jpg",
"1001349_06.jpg",
"1001349_07.jpg",
"1001349_08.jpg",
"1001349_09.jpg",
"1001349_10.jpg",
"1001349_11.jpg",
"1001349_12.jpg",
"1001349_13.jpg",
"1001349_14.jpg",
"1001349_15.jpg"
] | Buildings Are Covered In Ice Cream In Sydney, Ice Cream UFOs In The Sky, 90s VHS Style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001349.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 \"Buildings Are Covered In Ice Cream In Sydney, Ice Cream UFOs In The Sky, 90s VHS Style\",\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"
}
] |
6000112 | [
"6000112_00.jpg",
"6000112_01.jpg",
"6000112_02.jpg",
"6000112_03.jpg",
"6000112_04.jpg",
"6000112_05.jpg",
"6000112_06.jpg",
"6000112_07.jpg",
"6000112_08.jpg",
"6000112_09.jpg",
"6000112_10.jpg",
"6000112_11.jpg",
"6000112_12.jpg",
"6000112_13.jpg",
"6000112_14.jpg",
"6000112_15.jpg"
] | a dog chases after a red car | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000112.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 dog chases after a red car\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
0004890 | [
"0004890_00.jpg",
"0004890_01.jpg",
"0004890_02.jpg",
"0004890_03.jpg",
"0004890_04.jpg",
"0004890_05.jpg",
"0004890_06.jpg",
"0004890_07.jpg",
"0004890_08.jpg",
"0004890_09.jpg",
"0004890_10.jpg",
"0004890_11.jpg",
"0004890_12.jpg",
"0004890_13.jpg",
"0004890_14.jpg",
"0004890_15.jpg",
"0004890_16.jpg",
"0004890_17.jpg",
"0004890_18.jpg",
"0004890_19.jpg",
"0004890_20.jpg",
"0004890_21.jpg",
"0004890_22.jpg",
"0004890_23.jpg"
] | two kids are in the jungle walking animated 3d | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004890.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 \"two kids are in the jungle walking animated 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: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1000954 | [
"1000954_00.jpg",
"1000954_01.jpg",
"1000954_02.jpg",
"1000954_03.jpg",
"1000954_04.jpg",
"1000954_05.jpg",
"1000954_06.jpg",
"1000954_07.jpg",
"1000954_08.jpg",
"1000954_09.jpg",
"1000954_10.jpg",
"1000954_11.jpg",
"1000954_12.jpg",
"1000954_13.jpg",
"1000954_14.jpg",
"1000954_15.jpg"
] | alone is the woods at night, moonlight, anime girl | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000954.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 \"alone is the woods at night, moonlight, anime girl\",\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"
}
] |
3005267 | [
"3005267_00.jpg",
"3005267_01.jpg",
"3005267_02.jpg",
"3005267_03.jpg",
"3005267_04.jpg",
"3005267_05.jpg",
"3005267_06.jpg",
"3005267_07.jpg",
"3005267_08.jpg",
"3005267_09.jpg",
"3005267_10.jpg",
"3005267_11.jpg",
"3005267_12.jpg",
"3005267_13.jpg",
"3005267_14.jpg",
"3005267_15.jpg"
] | humsn lung seen in a whole big picture | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005267.mp4 | 3 | 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 \"humsn lung seen in a whole big picture\",\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: 1\n"
}
] |
3005773 | [
"3005773_00.jpg",
"3005773_01.jpg",
"3005773_02.jpg",
"3005773_03.jpg",
"3005773_04.jpg",
"3005773_05.jpg",
"3005773_06.jpg",
"3005773_07.jpg",
"3005773_08.jpg",
"3005773_09.jpg",
"3005773_10.jpg",
"3005773_11.jpg",
"3005773_12.jpg",
"3005773_13.jpg",
"3005773_14.jpg",
"3005773_15.jpg"
] | a herd of moose in an empty long dark corridor | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005773.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 \"a herd of moose in an empty long dark corridor\",\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"
}
] |
3006701 | [
"3006701_00.jpg",
"3006701_01.jpg",
"3006701_02.jpg",
"3006701_03.jpg",
"3006701_04.jpg",
"3006701_05.jpg",
"3006701_06.jpg",
"3006701_07.jpg",
"3006701_08.jpg",
"3006701_09.jpg",
"3006701_10.jpg",
"3006701_11.jpg",
"3006701_12.jpg",
"3006701_13.jpg",
"3006701_14.jpg",
"3006701_15.jpg"
] | naruto character with konoha village background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006701.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 \"naruto character with konoha village background\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
0000909 | [
"0000909_00.jpg",
"0000909_01.jpg",
"0000909_02.jpg",
"0000909_03.jpg",
"0000909_04.jpg",
"0000909_05.jpg",
"0000909_06.jpg",
"0000909_07.jpg",
"0000909_08.jpg",
"0000909_09.jpg",
"0000909_10.jpg",
"0000909_11.jpg",
"0000909_12.jpg",
"0000909_13.jpg",
"0000909_14.jpg",
"0000909_15.jpg",
"0000909_16.jpg",
"0000909_17.jpg",
"0000909_18.jpg",
"0000909_19.jpg",
"0000909_20.jpg",
"0000909_21.jpg",
"0000909_22.jpg",
"0000909_23.jpg"
] | space rocket traveling into space and discovering a futuristic planet | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000909.mp4 | 2 | 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 \"space rocket traveling into space and discovering a futuristic planet\",\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: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1005449 | [
"1005449_00.jpg",
"1005449_01.jpg",
"1005449_02.jpg",
"1005449_03.jpg",
"1005449_04.jpg",
"1005449_05.jpg",
"1005449_06.jpg",
"1005449_07.jpg",
"1005449_08.jpg",
"1005449_09.jpg",
"1005449_10.jpg",
"1005449_11.jpg",
"1005449_12.jpg",
"1005449_13.jpg",
"1005449_14.jpg",
"1005449_15.jpg"
] | A Stag, drinking from a crystal spring, saw himself mirrored in the clear moving | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005449.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 \"A Stag, drinking from a crystal spring, saw himself mirrored in the clear moving\",\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"
}
] |
2002992 | [
"2002992_00.jpg",
"2002992_01.jpg",
"2002992_02.jpg",
"2002992_03.jpg",
"2002992_04.jpg",
"2002992_05.jpg",
"2002992_06.jpg",
"2002992_07.jpg",
"2002992_08.jpg",
"2002992_09.jpg",
"2002992_10.jpg",
"2002992_11.jpg",
"2002992_12.jpg",
"2002992_13.jpg",
"2002992_14.jpg",
"2002992_15.jpg"
] | three cats slowly moving their tails side to side as they look at the camera unblinkingly. retro anime style animation | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002992.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 \"three cats slowly moving their tails side to side as they look at the camera unblinkingly. retro anime style 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: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0006598 | [
"0006598_00.jpg",
"0006598_01.jpg",
"0006598_02.jpg",
"0006598_03.jpg",
"0006598_04.jpg",
"0006598_05.jpg",
"0006598_06.jpg",
"0006598_07.jpg",
"0006598_08.jpg",
"0006598_09.jpg",
"0006598_10.jpg",
"0006598_11.jpg",
"0006598_12.jpg",
"0006598_13.jpg",
"0006598_14.jpg",
"0006598_15.jpg",
"0006598_16.jpg",
"0006598_17.jpg",
"0006598_18.jpg",
"0006598_19.jpg",
"0006598_20.jpg",
"0006598_21.jpg",
"0006598_22.jpg",
"0006598_23.jpg"
] | A red heart shape appearing out of a foggy background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006598.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 red heart shape appearing out of a foggy background\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
3002895 | [
"3002895_00.jpg",
"3002895_01.jpg",
"3002895_02.jpg",
"3002895_03.jpg",
"3002895_04.jpg",
"3002895_05.jpg",
"3002895_06.jpg",
"3002895_07.jpg",
"3002895_08.jpg",
"3002895_09.jpg",
"3002895_10.jpg",
"3002895_11.jpg",
"3002895_12.jpg",
"3002895_13.jpg",
"3002895_14.jpg",
"3002895_15.jpg"
] | star detroyer (from star wars) exploding in space, realism | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002895.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 \"star detroyer (from star wars) exploding in space, realism\",\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"
}
] |
3000664 | [
"3000664_00.jpg",
"3000664_01.jpg",
"3000664_02.jpg",
"3000664_03.jpg",
"3000664_04.jpg",
"3000664_05.jpg",
"3000664_06.jpg",
"3000664_07.jpg",
"3000664_08.jpg",
"3000664_09.jpg",
"3000664_10.jpg",
"3000664_11.jpg",
"3000664_12.jpg",
"3000664_13.jpg",
"3000664_14.jpg",
"3000664_15.jpg"
] | An illustration of a team building a website, represented in the middle. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000664.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 \"An illustration of a team building a website, represented in the middle.\",\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"
}
] |
3004612 | [
"3004612_00.jpg",
"3004612_01.jpg",
"3004612_02.jpg",
"3004612_03.jpg",
"3004612_04.jpg",
"3004612_05.jpg",
"3004612_06.jpg",
"3004612_07.jpg",
"3004612_08.jpg",
"3004612_09.jpg",
"3004612_10.jpg",
"3004612_11.jpg",
"3004612_12.jpg",
"3004612_13.jpg",
"3004612_14.jpg",
"3004612_15.jpg"
] | A picture of the small spacecraft as they sit inside it and prepare for takeoff. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004612.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 picture of the small spacecraft as they sit inside it and prepare for takeoff.\",\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"
}
] |
0005563 | [
"0005563_00.jpg",
"0005563_01.jpg",
"0005563_02.jpg",
"0005563_03.jpg",
"0005563_04.jpg",
"0005563_05.jpg",
"0005563_06.jpg",
"0005563_07.jpg",
"0005563_08.jpg",
"0005563_09.jpg",
"0005563_10.jpg",
"0005563_11.jpg",
"0005563_12.jpg",
"0005563_13.jpg",
"0005563_14.jpg",
"0005563_15.jpg",
"0005563_16.jpg",
"0005563_17.jpg",
"0005563_18.jpg",
"0005563_19.jpg",
"0005563_20.jpg",
"0005563_21.jpg",
"0005563_22.jpg",
"0005563_23.jpg"
] | Scene 1: Introduction Location: A dimly lit bar. Characters: Protagonist (John) sitting alone, sipping a drink. Action: John reminiscing about the good times with his girlfriend. Flashbacks of happy moments projected on the bar walls. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005563.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 \"Scene 1: Introduction Location: A dimly lit bar. Characters: Protagonist (John) sitting alone, sipping a drink. Action: John reminiscing about the good times with his girlfriend. Flashbacks of happy moments projected on the bar walls.\",\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"
}
] |
4004323 | [
"4004323_00.jpg",
"4004323_01.jpg",
"4004323_02.jpg",
"4004323_03.jpg",
"4004323_04.jpg",
"4004323_05.jpg",
"4004323_06.jpg",
"4004323_07.jpg",
"4004323_08.jpg",
"4004323_09.jpg",
"4004323_10.jpg",
"4004323_11.jpg",
"4004323_12.jpg",
"4004323_13.jpg",
"4004323_14.jpg",
"4004323_15.jpg"
] | pink plastic gems floating on a gray purple background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004323.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 \"pink plastic gems floating on a gray purple background\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
1000899 | [
"1000899_00.jpg",
"1000899_01.jpg",
"1000899_02.jpg",
"1000899_03.jpg",
"1000899_04.jpg",
"1000899_05.jpg",
"1000899_06.jpg",
"1000899_07.jpg",
"1000899_08.jpg",
"1000899_09.jpg",
"1000899_10.jpg",
"1000899_11.jpg",
"1000899_12.jpg",
"1000899_13.jpg",
"1000899_14.jpg",
"1000899_15.jpg"
] | a sequence of images showing a tree throughout the changing seasons, emphasizing the cycle of losing leaves in autumn, standing barren in winter, and then blooming again in spring. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000899.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 sequence of images showing a tree throughout the changing seasons, emphasizing the cycle of losing leaves in autumn, standing barren in winter, and then blooming again in spring.\",\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"
}
] |
7004045 | [
"7004045_00.jpg",
"7004045_01.jpg",
"7004045_02.jpg",
"7004045_03.jpg",
"7004045_04.jpg",
"7004045_05.jpg",
"7004045_06.jpg",
"7004045_07.jpg"
] | She had a special gift for telling stories that made people smile, laugh, and sometimes cry. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004045.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 \"She had a special gift for telling stories that made people smile, laugh, and sometimes cry.\",\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"
}
] |
8000647 | [
"8000647_00.jpg",
"8000647_01.jpg",
"8000647_02.jpg",
"8000647_03.jpg",
"8000647_04.jpg",
"8000647_05.jpg",
"8000647_06.jpg",
"8000647_07.jpg",
"8000647_08.jpg",
"8000647_09.jpg",
"8000647_10.jpg",
"8000647_11.jpg",
"8000647_12.jpg",
"8000647_13.jpg",
"8000647_14.jpg",
"8000647_15.jpg",
"8000647_16.jpg",
"8000647_17.jpg",
"8000647_18.jpg",
"8000647_19.jpg",
"8000647_20.jpg",
"8000647_21.jpg",
"8000647_22.jpg",
"8000647_23.jpg"
] | passenger plane flying through the himalayas | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000647.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 \"passenger plane flying through the 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> <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"
}
] |
4001042 | [
"4001042_00.jpg",
"4001042_01.jpg",
"4001042_02.jpg",
"4001042_03.jpg",
"4001042_04.jpg",
"4001042_05.jpg",
"4001042_06.jpg",
"4001042_07.jpg",
"4001042_08.jpg",
"4001042_09.jpg",
"4001042_10.jpg",
"4001042_11.jpg",
"4001042_12.jpg",
"4001042_13.jpg",
"4001042_14.jpg",
"4001042_15.jpg"
] | Soldiers on horses heading towards Egypt more than a thousand years ago | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001042.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 \"Soldiers on horses heading towards Egypt more than a thousand years ago\",\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"
}
] |
8002772 | [
"8002772_00.jpg",
"8002772_01.jpg",
"8002772_02.jpg",
"8002772_03.jpg",
"8002772_04.jpg",
"8002772_05.jpg",
"8002772_06.jpg",
"8002772_07.jpg",
"8002772_08.jpg",
"8002772_09.jpg",
"8002772_10.jpg",
"8002772_11.jpg",
"8002772_12.jpg",
"8002772_13.jpg",
"8002772_14.jpg",
"8002772_15.jpg",
"8002772_16.jpg",
"8002772_17.jpg",
"8002772_18.jpg",
"8002772_19.jpg",
"8002772_20.jpg",
"8002772_21.jpg",
"8002772_22.jpg",
"8002772_23.jpg"
] | Ultra realistic image of a university abandoned by time. Pieces of cement fall from its walls. Teachers and students try to repair it. The sky looks cloudy and windy. a dove flies in the sky. cars parked in its surroundings. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002772.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 \"Ultra realistic image of a university abandoned by time. Pieces of cement fall from its walls. Teachers and students try to repair it. The sky looks cloudy and windy. a dove flies in the sky. cars parked in its surroundings.\",\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: 2\n"
}
] |
0002844 | [
"0002844_00.jpg",
"0002844_01.jpg",
"0002844_02.jpg",
"0002844_03.jpg",
"0002844_04.jpg",
"0002844_05.jpg",
"0002844_06.jpg",
"0002844_07.jpg",
"0002844_08.jpg",
"0002844_09.jpg",
"0002844_10.jpg",
"0002844_11.jpg",
"0002844_12.jpg",
"0002844_13.jpg",
"0002844_14.jpg",
"0002844_15.jpg",
"0002844_16.jpg",
"0002844_17.jpg",
"0002844_18.jpg",
"0002844_19.jpg",
"0002844_20.jpg",
"0002844_21.jpg",
"0002844_22.jpg",
"0002844_23.jpg"
] | two boys and a girl roaming in a toy shop in the evening | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002844.mp4 | 2 | 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 \"two boys and a girl roaming in a toy shop in the evening\",\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: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0000280 | [
"0000280_00.jpg",
"0000280_01.jpg",
"0000280_02.jpg",
"0000280_03.jpg",
"0000280_04.jpg",
"0000280_05.jpg",
"0000280_06.jpg",
"0000280_07.jpg",
"0000280_08.jpg",
"0000280_09.jpg",
"0000280_10.jpg",
"0000280_11.jpg",
"0000280_12.jpg",
"0000280_13.jpg",
"0000280_14.jpg",
"0000280_15.jpg",
"0000280_16.jpg",
"0000280_17.jpg",
"0000280_18.jpg",
"0000280_19.jpg",
"0000280_20.jpg",
"0000280_21.jpg",
"0000280_22.jpg",
"0000280_23.jpg"
] | a wood carpenter cutting woods with small object | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000280.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 wood carpenter cutting woods with small object\",\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"
}
] |
1001120 | [
"1001120_00.jpg",
"1001120_01.jpg",
"1001120_02.jpg",
"1001120_03.jpg",
"1001120_04.jpg",
"1001120_05.jpg",
"1001120_06.jpg",
"1001120_07.jpg",
"1001120_08.jpg",
"1001120_09.jpg",
"1001120_10.jpg",
"1001120_11.jpg",
"1001120_12.jpg",
"1001120_13.jpg",
"1001120_14.jpg",
"1001120_15.jpg"
] | looking out of a window at a winter covered forrest sparkling in the sunshine | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001120.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 \"looking out of a window at a winter covered forrest sparkling in the sunshine\",\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"
}
] |
4000351 | [
"4000351_00.jpg",
"4000351_01.jpg",
"4000351_02.jpg",
"4000351_03.jpg",
"4000351_04.jpg",
"4000351_05.jpg",
"4000351_06.jpg",
"4000351_07.jpg",
"4000351_08.jpg",
"4000351_09.jpg",
"4000351_10.jpg",
"4000351_11.jpg",
"4000351_12.jpg",
"4000351_13.jpg",
"4000351_14.jpg",
"4000351_15.jpg"
] | a 60s film about liminal moroccan homes and angels | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000351.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 60s film about liminal moroccan homes and angels\",\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"
}
] |
5001221 | [
"5001221_00.jpg",
"5001221_01.jpg",
"5001221_02.jpg",
"5001221_03.jpg",
"5001221_04.jpg",
"5001221_05.jpg",
"5001221_06.jpg",
"5001221_07.jpg",
"5001221_08.jpg",
"5001221_09.jpg",
"5001221_10.jpg",
"5001221_11.jpg",
"5001221_12.jpg",
"5001221_13.jpg",
"5001221_14.jpg",
"5001221_15.jpg"
] | An extreme close-up of an gray-haired man with a beard in his 60s, he is deep in thought pondering the history of the universe as he sits at a cafe in Paris, his eyes focus on people offscreen as they walk as he sits mostly motionless, he is dressed in a wool coat suit coat with a button-down shirt , he wears a brown beret and glasses and has a very professorial appearance, and the end he offers a subtle closed-mouth smile as if he found the answer to the mystery of life, the lighting is very cinematic with the golden light and the Parisian streets and city in the background, depth of field, cinematic 35mm film. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001221.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 \"An extreme close-up of an gray-haired man with a beard in his 60s, he is deep in thought pondering the history of the universe as he sits at a cafe in Paris, his eyes focus on people offscreen as they walk as he sits mostly motionless, he is dressed in a wool coat suit coat with a button-down shirt , he wears a brown beret and glasses and has a very professorial appearance, and the end he offers a subtle closed-mouth smile as if he found the answer to the mystery of life, the lighting is very cinematic with the golden light and the Parisian streets and city in the background, depth of field, cinematic 35mm film.\",\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"
}
] |
6001742 | [
"6001742_00.jpg",
"6001742_01.jpg",
"6001742_02.jpg",
"6001742_03.jpg",
"6001742_04.jpg",
"6001742_05.jpg",
"6001742_06.jpg",
"6001742_07.jpg",
"6001742_08.jpg",
"6001742_09.jpg",
"6001742_10.jpg",
"6001742_11.jpg",
"6001742_12.jpg",
"6001742_13.jpg",
"6001742_14.jpg",
"6001742_15.jpg"
] | A man with blue eyes and red hair sitting on a quiet train | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001742.mp4 | 3 | 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 man with blue eyes and red hair sitting on a quiet train\",\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: 1\n"
}
] |
2000433 | [
"2000433_00.jpg",
"2000433_01.jpg",
"2000433_02.jpg",
"2000433_03.jpg",
"2000433_04.jpg",
"2000433_05.jpg",
"2000433_06.jpg",
"2000433_07.jpg",
"2000433_08.jpg",
"2000433_09.jpg",
"2000433_10.jpg",
"2000433_11.jpg",
"2000433_12.jpg",
"2000433_13.jpg",
"2000433_14.jpg",
"2000433_15.jpg"
] | a fox running through the city in the night | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000433.mp4 | 2 | 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 fox running through the city 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> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0005440 | [
"0005440_00.jpg",
"0005440_01.jpg",
"0005440_02.jpg",
"0005440_03.jpg",
"0005440_04.jpg",
"0005440_05.jpg",
"0005440_06.jpg",
"0005440_07.jpg",
"0005440_08.jpg",
"0005440_09.jpg",
"0005440_10.jpg",
"0005440_11.jpg",
"0005440_12.jpg",
"0005440_13.jpg",
"0005440_14.jpg",
"0005440_15.jpg",
"0005440_16.jpg",
"0005440_17.jpg",
"0005440_18.jpg",
"0005440_19.jpg",
"0005440_20.jpg",
"0005440_21.jpg",
"0005440_22.jpg",
"0005440_23.jpg"
] | Cinematic, A light rain is falling. Tea pickers are picking tea in a tea garden, 4K, anime style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005440.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 \"Cinematic, A light rain is falling. Tea pickers are picking tea in a tea garden, 4K, anime style\",\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"
}
] |
3002507 | [
"3002507_00.jpg",
"3002507_01.jpg",
"3002507_02.jpg",
"3002507_03.jpg",
"3002507_04.jpg",
"3002507_05.jpg",
"3002507_06.jpg",
"3002507_07.jpg",
"3002507_08.jpg",
"3002507_09.jpg",
"3002507_10.jpg",
"3002507_11.jpg",
"3002507_12.jpg",
"3002507_13.jpg",
"3002507_14.jpg",
"3002507_15.jpg"
] | Group of business people walking into office | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002507.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 \"Group of business people walking into office\",\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"
}
] |
7001773 | [
"7001773_00.jpg",
"7001773_01.jpg",
"7001773_02.jpg",
"7001773_03.jpg",
"7001773_04.jpg",
"7001773_05.jpg",
"7001773_06.jpg",
"7001773_07.jpg"
] | Just as he was about to leave, a gentle voice spoke from behind the waterfall. It was the guardian of the forest, a kind and ancient turtle named Tessa. Tessa thanked Timmy for finding the treasure and rewarded him with a magical wish. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001773.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 \"Just as he was about to leave, a gentle voice spoke from behind the waterfall. It was the guardian of the forest, a kind and ancient turtle named Tessa. Tessa thanked Timmy for finding the treasure and rewarded him with a magical wish.\",\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: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6003928 | [
"6003928_00.jpg",
"6003928_01.jpg",
"6003928_02.jpg",
"6003928_03.jpg",
"6003928_04.jpg",
"6003928_05.jpg",
"6003928_06.jpg",
"6003928_07.jpg",
"6003928_08.jpg",
"6003928_09.jpg",
"6003928_10.jpg",
"6003928_11.jpg",
"6003928_12.jpg",
"6003928_13.jpg",
"6003928_14.jpg",
"6003928_15.jpg"
] | speed up 100 000 years history in 3 sec shot, nature landscape metamorphosing, | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003928.mp4 | 1 | 1 | 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 \"speed up 100 000 years history in 3 sec shot, nature landscape metamorphosing,\",\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: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
8001103 | [
"8001103_00.jpg",
"8001103_01.jpg",
"8001103_02.jpg",
"8001103_03.jpg",
"8001103_04.jpg",
"8001103_05.jpg",
"8001103_06.jpg",
"8001103_07.jpg",
"8001103_08.jpg",
"8001103_09.jpg",
"8001103_10.jpg",
"8001103_11.jpg",
"8001103_12.jpg",
"8001103_13.jpg",
"8001103_14.jpg",
"8001103_15.jpg",
"8001103_16.jpg",
"8001103_17.jpg",
"8001103_18.jpg",
"8001103_19.jpg",
"8001103_20.jpg",
"8001103_21.jpg",
"8001103_22.jpg",
"8001103_23.jpg"
] | Sunrise. In the ancient forest, fog is rolling in. A deer walks through the trees. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001103.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 \"Sunrise. In the ancient forest, fog is rolling in. A deer walks through the trees.\",\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: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
7000229 | [
"7000229_00.jpg",
"7000229_01.jpg",
"7000229_02.jpg",
"7000229_03.jpg",
"7000229_04.jpg",
"7000229_05.jpg",
"7000229_06.jpg",
"7000229_07.jpg"
] | Angels are free from illness, laziness, sorrow, pain, fatigue, and solitude. They are constantly engaged in the worship of Allah and do not indulge in any form of disobedience. The Quran mentions that whatever is in the heavens and the earth belongs to Allah, and angels do not show arrogance and are never tired. They glorify Allah day and night, without any fatigue or laziness. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000229.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 \"Angels are free from illness, laziness, sorrow, pain, fatigue, and solitude. They are constantly engaged in the worship of Allah and do not indulge in any form of disobedience. The Quran mentions that whatever is in the heavens and the earth belongs to Allah, and angels do not show arrogance and are never tired. They glorify Allah day and night, without any fatigue or laziness.\",\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: 1\n"
}
] |
6002929 | [
"6002929_00.jpg",
"6002929_01.jpg",
"6002929_02.jpg",
"6002929_03.jpg",
"6002929_04.jpg",
"6002929_05.jpg",
"6002929_06.jpg",
"6002929_07.jpg",
"6002929_08.jpg",
"6002929_09.jpg",
"6002929_10.jpg",
"6002929_11.jpg",
"6002929_12.jpg",
"6002929_13.jpg",
"6002929_14.jpg",
"6002929_15.jpg"
] | burger food Message: smart (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002929.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 \"burger food Message: smart (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: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
8002495 | [
"8002495_00.jpg",
"8002495_01.jpg",
"8002495_02.jpg",
"8002495_03.jpg",
"8002495_04.jpg",
"8002495_05.jpg",
"8002495_06.jpg",
"8002495_07.jpg",
"8002495_08.jpg",
"8002495_09.jpg",
"8002495_10.jpg",
"8002495_11.jpg",
"8002495_12.jpg",
"8002495_13.jpg",
"8002495_14.jpg",
"8002495_15.jpg",
"8002495_16.jpg",
"8002495_17.jpg",
"8002495_18.jpg",
"8002495_19.jpg",
"8002495_20.jpg",
"8002495_21.jpg",
"8002495_22.jpg",
"8002495_23.jpg"
] | camera movement pan, hair blowing, blinks slowly | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002495.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 \"camera movement pan, hair blowing, blinks slowly\",\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: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1004157 | [
"1004157_00.jpg",
"1004157_01.jpg",
"1004157_02.jpg",
"1004157_03.jpg",
"1004157_04.jpg",
"1004157_05.jpg",
"1004157_06.jpg",
"1004157_07.jpg",
"1004157_08.jpg",
"1004157_09.jpg",
"1004157_10.jpg",
"1004157_11.jpg",
"1004157_12.jpg",
"1004157_13.jpg",
"1004157_14.jpg",
"1004157_15.jpg"
] | A man and a woman in front of open gates to a new world, with beautiful colours and unlimited possibilites. It looks like heaven. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004157.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 man and a woman in front of open gates to a new world, with beautiful colours and unlimited possibilites. It looks like heaven.\",\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"
}
] |
0006245 | [
"0006245_00.jpg",
"0006245_01.jpg",
"0006245_02.jpg",
"0006245_03.jpg",
"0006245_04.jpg",
"0006245_05.jpg",
"0006245_06.jpg",
"0006245_07.jpg",
"0006245_08.jpg",
"0006245_09.jpg",
"0006245_10.jpg",
"0006245_11.jpg",
"0006245_12.jpg",
"0006245_13.jpg",
"0006245_14.jpg",
"0006245_15.jpg",
"0006245_16.jpg",
"0006245_17.jpg",
"0006245_18.jpg",
"0006245_19.jpg",
"0006245_20.jpg",
"0006245_21.jpg",
"0006245_22.jpg",
"0006245_23.jpg"
] | Beautiful girl wearing short skirt playing golf | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006245.mp4 | 1 | 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 \"Beautiful girl wearing short skirt playing golf\",\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: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1003090 | [
"1003090_00.jpg",
"1003090_01.jpg",
"1003090_02.jpg",
"1003090_03.jpg",
"1003090_04.jpg",
"1003090_05.jpg",
"1003090_06.jpg",
"1003090_07.jpg",
"1003090_08.jpg",
"1003090_09.jpg",
"1003090_10.jpg",
"1003090_11.jpg",
"1003090_12.jpg",
"1003090_13.jpg",
"1003090_14.jpg",
"1003090_15.jpg"
] | panorama of a large futuristic city, sunny day, style: pop art | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003090.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 \"panorama of a large futuristic city, sunny day, style: pop art\",\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"
}
] |
s000512 | [
"s000512_00.jpg",
"s000512_01.jpg",
"s000512_02.jpg",
"s000512_03.jpg",
"s000512_04.jpg",
"s000512_05.jpg",
"s000512_06.jpg",
"s000512_07.jpg",
"s000512_08.jpg",
"s000512_09.jpg",
"s000512_10.jpg",
"s000512_11.jpg",
"s000512_12.jpg",
"s000512_13.jpg",
"s000512_14.jpg",
"s000512_15.jpg",
"s000512_16.jpg",
"s000512_17.jpg",
"s000512_18.jpg",
"s000512_19.jpg",
"s000512_20.jpg",
"s000512_21.jpg",
"s000512_22.jpg",
"s000512_23.jpg"
] | A fashion model wearing a black and white fur coat walks on the catwalk and moves | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000512.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 fashion model wearing a black and white fur coat walks on the catwalk and moves\",\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"
}
] |
8000334 | [
"8000334_00.jpg",
"8000334_01.jpg",
"8000334_02.jpg",
"8000334_03.jpg",
"8000334_04.jpg",
"8000334_05.jpg",
"8000334_06.jpg",
"8000334_07.jpg",
"8000334_08.jpg",
"8000334_09.jpg",
"8000334_10.jpg",
"8000334_11.jpg",
"8000334_12.jpg",
"8000334_13.jpg",
"8000334_14.jpg",
"8000334_15.jpg",
"8000334_16.jpg",
"8000334_17.jpg",
"8000334_18.jpg",
"8000334_19.jpg",
"8000334_20.jpg",
"8000334_21.jpg",
"8000334_22.jpg",
"8000334_23.jpg"
] | a toolbag that is trying to hitchhike on the road in america | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000334.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 toolbag that is trying to hitchhike on the road in america\",\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: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3001730 | [
"3001730_00.jpg",
"3001730_01.jpg",
"3001730_02.jpg",
"3001730_03.jpg",
"3001730_04.jpg",
"3001730_05.jpg",
"3001730_06.jpg",
"3001730_07.jpg",
"3001730_08.jpg",
"3001730_09.jpg",
"3001730_10.jpg",
"3001730_11.jpg",
"3001730_12.jpg",
"3001730_13.jpg",
"3001730_14.jpg",
"3001730_15.jpg"
] | nurse standing sideways bent over backwards, looking at the camera, cartoon style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001730.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 \"nurse standing sideways bent over backwards, looking at the camera, cartoon style\",\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"
}
] |
1003277 | [
"1003277_00.jpg",
"1003277_01.jpg",
"1003277_02.jpg",
"1003277_03.jpg",
"1003277_04.jpg",
"1003277_05.jpg",
"1003277_06.jpg",
"1003277_07.jpg",
"1003277_08.jpg",
"1003277_09.jpg",
"1003277_10.jpg",
"1003277_11.jpg",
"1003277_12.jpg",
"1003277_13.jpg",
"1003277_14.jpg",
"1003277_15.jpg"
] | A chicken relaxing at the beachside sunset beams | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003277.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 chicken relaxing at the beachside sunset beams\",\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"
}
] |
0003600 | [
"0003600_00.jpg",
"0003600_01.jpg",
"0003600_02.jpg",
"0003600_03.jpg",
"0003600_04.jpg",
"0003600_05.jpg",
"0003600_06.jpg",
"0003600_07.jpg",
"0003600_08.jpg",
"0003600_09.jpg",
"0003600_10.jpg",
"0003600_11.jpg",
"0003600_12.jpg",
"0003600_13.jpg",
"0003600_14.jpg",
"0003600_15.jpg",
"0003600_16.jpg",
"0003600_17.jpg",
"0003600_18.jpg",
"0003600_19.jpg",
"0003600_20.jpg",
"0003600_21.jpg",
"0003600_22.jpg",
"0003600_23.jpg"
] | a man walks from the seashore towards the village, the time is day, the view from the back of a man, the time is 0 A.D., the clothes are white | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003600.mp4 | 3 | 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 man walks from the seashore towards the village, the time is day, the view from the back of a man, the time is 0 A.D., the clothes are 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: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1002171 | [
"1002171_00.jpg",
"1002171_01.jpg",
"1002171_02.jpg",
"1002171_03.jpg",
"1002171_04.jpg",
"1002171_05.jpg",
"1002171_06.jpg",
"1002171_07.jpg",
"1002171_08.jpg",
"1002171_09.jpg",
"1002171_10.jpg",
"1002171_11.jpg",
"1002171_12.jpg",
"1002171_13.jpg",
"1002171_14.jpg",
"1002171_15.jpg"
] | image fill,masterpiece,best quality,super detail,8K,(mythical),(mystical atmosphere),(intricate details),science fiction, (comet),Dusty,Mars, bright light,solar system, | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002171.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 \"image fill,masterpiece,best quality,super detail,8K,(mythical),(mystical atmosphere),(intricate details),science fiction, (comet),Dusty,Mars, bright light,solar system,\",\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"
}
] |
1005366 | [
"1005366_00.jpg",
"1005366_01.jpg",
"1005366_02.jpg",
"1005366_03.jpg",
"1005366_04.jpg",
"1005366_05.jpg",
"1005366_06.jpg",
"1005366_07.jpg",
"1005366_08.jpg",
"1005366_09.jpg",
"1005366_10.jpg",
"1005366_11.jpg",
"1005366_12.jpg",
"1005366_13.jpg",
"1005366_14.jpg",
"1005366_15.jpg"
] | hanumanji power to become big size | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005366.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 \"hanumanji power to become big size\",\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"
}
] |
0001090 | [
"0001090_00.jpg",
"0001090_01.jpg",
"0001090_02.jpg",
"0001090_03.jpg",
"0001090_04.jpg",
"0001090_05.jpg",
"0001090_06.jpg",
"0001090_07.jpg",
"0001090_08.jpg",
"0001090_09.jpg",
"0001090_10.jpg",
"0001090_11.jpg",
"0001090_12.jpg",
"0001090_13.jpg",
"0001090_14.jpg",
"0001090_15.jpg",
"0001090_16.jpg",
"0001090_17.jpg",
"0001090_18.jpg",
"0001090_19.jpg",
"0001090_20.jpg",
"0001090_21.jpg",
"0001090_22.jpg",
"0001090_23.jpg"
] | Create an illustration depicting the righteous community led by Prophet Idris, including prominent figures like Wadd and Shuwa, engaging in worship and following divine teachings | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001090.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 \"Create an illustration depicting the righteous community led by Prophet Idris, including prominent figures like Wadd and Shuwa, engaging in worship and following divine teachings\",\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"
}
] |
2001390 | [
"2001390_00.jpg",
"2001390_01.jpg",
"2001390_02.jpg",
"2001390_03.jpg",
"2001390_04.jpg",
"2001390_05.jpg",
"2001390_06.jpg",
"2001390_07.jpg",
"2001390_08.jpg",
"2001390_09.jpg",
"2001390_10.jpg",
"2001390_11.jpg",
"2001390_12.jpg",
"2001390_13.jpg",
"2001390_14.jpg",
"2001390_15.jpg"
] | A boy wearing an astronaut suit, standing on the moon, waving to aliens. around is a vast universe with many stars, hight quality, 16:9 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001390.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 boy wearing an astronaut suit, standing on the moon, waving to aliens. around is a vast universe with many stars, hight quality, 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> "
},
{
"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"
}
] |
8000044 | [
"8000044_00.jpg",
"8000044_01.jpg",
"8000044_02.jpg",
"8000044_03.jpg",
"8000044_04.jpg",
"8000044_05.jpg",
"8000044_06.jpg",
"8000044_07.jpg",
"8000044_08.jpg",
"8000044_09.jpg",
"8000044_10.jpg",
"8000044_11.jpg",
"8000044_12.jpg",
"8000044_13.jpg",
"8000044_14.jpg",
"8000044_15.jpg",
"8000044_16.jpg",
"8000044_17.jpg",
"8000044_18.jpg",
"8000044_19.jpg",
"8000044_20.jpg",
"8000044_21.jpg",
"8000044_22.jpg",
"8000044_23.jpg"
] | Yorkshire terrier dancing on its hind legs | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000044.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 \"Yorkshire terrier dancing on its hind legs\",\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: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
9000027 | [
"9000027_00.jpg",
"9000027_01.jpg",
"9000027_02.jpg",
"9000027_03.jpg",
"9000027_04.jpg",
"9000027_05.jpg",
"9000027_06.jpg",
"9000027_07.jpg",
"9000027_08.jpg",
"9000027_09.jpg",
"9000027_10.jpg",
"9000027_11.jpg",
"9000027_12.jpg",
"9000027_13.jpg",
"9000027_14.jpg",
"9000027_15.jpg",
"9000027_16.jpg",
"9000027_17.jpg",
"9000027_18.jpg",
"9000027_19.jpg",
"9000027_20.jpg",
"9000027_21.jpg",
"9000027_22.jpg",
"9000027_23.jpg"
] | Mario playing Legend of Zelda: tears of the kindom | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000027.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 \"Mario playing Legend of Zelda: tears of the kindom\",\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"
}
] |
1001547 | [
"1001547_00.jpg",
"1001547_01.jpg",
"1001547_02.jpg",
"1001547_03.jpg",
"1001547_04.jpg",
"1001547_05.jpg",
"1001547_06.jpg",
"1001547_07.jpg",
"1001547_08.jpg",
"1001547_09.jpg",
"1001547_10.jpg",
"1001547_11.jpg",
"1001547_12.jpg",
"1001547_13.jpg",
"1001547_14.jpg",
"1001547_15.jpg"
] | beautiful school girl dancing on the shower | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001547.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 \"beautiful school girl dancing on the shower\",\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"
}
] |
1002318 | [
"1002318_00.jpg",
"1002318_01.jpg",
"1002318_02.jpg",
"1002318_03.jpg",
"1002318_04.jpg",
"1002318_05.jpg",
"1002318_06.jpg",
"1002318_07.jpg",
"1002318_08.jpg",
"1002318_09.jpg",
"1002318_10.jpg",
"1002318_11.jpg",
"1002318_12.jpg",
"1002318_13.jpg",
"1002318_14.jpg",
"1002318_15.jpg"
] | A professional figure who delivers motivational speeches. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002318.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 professional figure who delivers motivational speeches.\",\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"
}
] |
0001796 | [
"0001796_00.jpg",
"0001796_01.jpg",
"0001796_02.jpg",
"0001796_03.jpg",
"0001796_04.jpg",
"0001796_05.jpg",
"0001796_06.jpg",
"0001796_07.jpg",
"0001796_08.jpg",
"0001796_09.jpg",
"0001796_10.jpg",
"0001796_11.jpg",
"0001796_12.jpg",
"0001796_13.jpg",
"0001796_14.jpg",
"0001796_15.jpg",
"0001796_16.jpg",
"0001796_17.jpg",
"0001796_18.jpg",
"0001796_19.jpg",
"0001796_20.jpg",
"0001796_21.jpg",
"0001796_22.jpg",
"0001796_23.jpg"
] | anime style, An image of Harry Potter discovering his acceptance letter to Hogwarts School of Witchcraft and Wizardry in the cupboard under the stairs. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001796.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 \"anime style, An image of Harry Potter discovering his acceptance letter to Hogwarts School of Witchcraft and Wizardry in the cupboard under the stairs.\",\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"
}
] |
0006686 | [
"0006686_00.jpg",
"0006686_01.jpg",
"0006686_02.jpg",
"0006686_03.jpg",
"0006686_04.jpg",
"0006686_05.jpg",
"0006686_06.jpg",
"0006686_07.jpg",
"0006686_08.jpg",
"0006686_09.jpg",
"0006686_10.jpg",
"0006686_11.jpg",
"0006686_12.jpg",
"0006686_13.jpg",
"0006686_14.jpg",
"0006686_15.jpg",
"0006686_16.jpg",
"0006686_17.jpg",
"0006686_18.jpg",
"0006686_19.jpg",
"0006686_20.jpg",
"0006686_21.jpg",
"0006686_22.jpg",
"0006686_23.jpg"
] | Clouds moving in the blue sky timelapse | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006686.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 \"Clouds moving in the blue sky timelapse\",\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"
}
] |
0005756 | [
"0005756_00.jpg",
"0005756_01.jpg",
"0005756_02.jpg",
"0005756_03.jpg",
"0005756_04.jpg",
"0005756_05.jpg",
"0005756_06.jpg",
"0005756_07.jpg",
"0005756_08.jpg",
"0005756_09.jpg",
"0005756_10.jpg",
"0005756_11.jpg",
"0005756_12.jpg",
"0005756_13.jpg",
"0005756_14.jpg",
"0005756_15.jpg",
"0005756_16.jpg",
"0005756_17.jpg",
"0005756_18.jpg",
"0005756_19.jpg",
"0005756_20.jpg",
"0005756_21.jpg",
"0005756_22.jpg",
"0005756_23.jpg"
] | A visual of Woody and Buzz Lightyear reminding Rex about their purpose as toys, emphasizing the importance of making Andy happy. cinematic gs 20 motion 4 ,7second long | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005756.mp4 | 2 | 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 \"A visual of Woody and Buzz Lightyear reminding Rex about their purpose as toys, emphasizing the importance of making Andy happy. cinematic gs 20 motion 4 ,7second long\",\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: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
7000181 | [
"7000181_00.jpg",
"7000181_01.jpg",
"7000181_02.jpg",
"7000181_03.jpg",
"7000181_04.jpg",
"7000181_05.jpg",
"7000181_06.jpg",
"7000181_07.jpg"
] | hyper realistic ocean where a beautiful olive green sun it’s awakening on the horizon | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000181.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 \"hyper realistic ocean where a beautiful olive green sun it’s awakening on the horizon\",\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: 1\n"
}
] |
0004401 | [
"0004401_00.jpg",
"0004401_01.jpg",
"0004401_02.jpg",
"0004401_03.jpg",
"0004401_04.jpg",
"0004401_05.jpg",
"0004401_06.jpg",
"0004401_07.jpg",
"0004401_08.jpg",
"0004401_09.jpg",
"0004401_10.jpg",
"0004401_11.jpg",
"0004401_12.jpg",
"0004401_13.jpg",
"0004401_14.jpg",
"0004401_15.jpg",
"0004401_16.jpg",
"0004401_17.jpg",
"0004401_18.jpg",
"0004401_19.jpg",
"0004401_20.jpg",
"0004401_21.jpg",
"0004401_22.jpg",
"0004401_23.jpg"
] | Kundalini rising ultra high definition, stunning Never before scene! | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004401.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 \"Kundalini rising ultra high definition, stunning Never before scene!\",\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: 1\n"
}
] |
3004656 | [
"3004656_00.jpg",
"3004656_01.jpg",
"3004656_02.jpg",
"3004656_03.jpg",
"3004656_04.jpg",
"3004656_05.jpg",
"3004656_06.jpg",
"3004656_07.jpg",
"3004656_08.jpg",
"3004656_09.jpg",
"3004656_10.jpg",
"3004656_11.jpg",
"3004656_12.jpg",
"3004656_13.jpg",
"3004656_14.jpg",
"3004656_15.jpg"
] | found footage of creature with a mushroom head | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004656.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 \"found footage of creature with a mushroom head\",\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"
}
] |
2001621 | [
"2001621_00.jpg",
"2001621_01.jpg",
"2001621_02.jpg",
"2001621_03.jpg",
"2001621_04.jpg",
"2001621_05.jpg",
"2001621_06.jpg",
"2001621_07.jpg",
"2001621_08.jpg",
"2001621_09.jpg",
"2001621_10.jpg",
"2001621_11.jpg",
"2001621_12.jpg",
"2001621_13.jpg",
"2001621_14.jpg",
"2001621_15.jpg"
] | inside an empty warehouse, all painted white, white smoke floating inside, cinematic light, 8k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001621.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 an empty warehouse, all painted white, white smoke floating inside, cinematic light, 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: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
s000623 | [
"s000623_00.jpg",
"s000623_01.jpg",
"s000623_02.jpg",
"s000623_03.jpg",
"s000623_04.jpg",
"s000623_05.jpg",
"s000623_06.jpg",
"s000623_07.jpg",
"s000623_08.jpg",
"s000623_09.jpg",
"s000623_10.jpg",
"s000623_11.jpg",
"s000623_12.jpg",
"s000623_13.jpg",
"s000623_14.jpg",
"s000623_15.jpg",
"s000623_16.jpg",
"s000623_17.jpg",
"s000623_18.jpg",
"s000623_19.jpg",
"s000623_20.jpg",
"s000623_21.jpg",
"s000623_22.jpg",
"s000623_23.jpg"
] | dog raising his paw in the living room of the house | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000623.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 \"dog raising his paw in the living room of the house\",\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"
}
] |
4004610 | [
"4004610_00.jpg",
"4004610_01.jpg",
"4004610_02.jpg",
"4004610_03.jpg",
"4004610_04.jpg",
"4004610_05.jpg",
"4004610_06.jpg",
"4004610_07.jpg",
"4004610_08.jpg",
"4004610_09.jpg",
"4004610_10.jpg",
"4004610_11.jpg",
"4004610_12.jpg",
"4004610_13.jpg",
"4004610_14.jpg",
"4004610_15.jpg"
] | a tie and a suitcase | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004610.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 tie and a suitcase\",\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: 3\n"
}
] |
7001361 | [
"7001361_00.jpg",
"7001361_01.jpg",
"7001361_02.jpg",
"7001361_03.jpg",
"7001361_04.jpg",
"7001361_05.jpg",
"7001361_06.jpg",
"7001361_07.jpg"
] | The hostess is cutting vegetables in the kitchen; The water pipe is connected to the water, with apples and other things soaking in the water; The pot was steaming hot; Beside are some cooked dishes; Suddenly, she turned around and let out a strange smile | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001361.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 hostess is cutting vegetables in the kitchen; The water pipe is connected to the water, with apples and other things soaking in the water; The pot was steaming hot; Beside are some cooked dishes; Suddenly, she turned around and let out a strange smile\",\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"
}
] |
2006590 | [
"2006590_00.jpg",
"2006590_01.jpg",
"2006590_02.jpg",
"2006590_03.jpg",
"2006590_04.jpg",
"2006590_05.jpg",
"2006590_06.jpg",
"2006590_07.jpg",
"2006590_08.jpg",
"2006590_09.jpg",
"2006590_10.jpg",
"2006590_11.jpg",
"2006590_12.jpg",
"2006590_13.jpg",
"2006590_14.jpg",
"2006590_15.jpg"
] | a man running through the woods and finding a cow named pranav | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006590.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 running through the woods and finding a cow named pranav\",\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"
}
] |
1002435 | [
"1002435_00.jpg",
"1002435_01.jpg",
"1002435_02.jpg",
"1002435_03.jpg",
"1002435_04.jpg",
"1002435_05.jpg",
"1002435_06.jpg",
"1002435_07.jpg",
"1002435_08.jpg",
"1002435_09.jpg",
"1002435_10.jpg",
"1002435_11.jpg",
"1002435_12.jpg",
"1002435_13.jpg",
"1002435_14.jpg",
"1002435_15.jpg"
] | dichromatic color scheme blue and yellow, action hero | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002435.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 \"dichromatic color scheme blue and yellow, action hero\",\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"
}
] |
3000908 | [
"3000908_00.jpg",
"3000908_01.jpg",
"3000908_02.jpg",
"3000908_03.jpg",
"3000908_04.jpg",
"3000908_05.jpg",
"3000908_06.jpg",
"3000908_07.jpg",
"3000908_08.jpg",
"3000908_09.jpg",
"3000908_10.jpg",
"3000908_11.jpg",
"3000908_12.jpg",
"3000908_13.jpg",
"3000908_14.jpg",
"3000908_15.jpg"
] | Two golden retrievers podcasting on top of a mountain | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000908.mp4 | 2 | 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 \"Two golden retrievers podcasting on top of a mountain\",\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: 2\n"
}
] |
5000159 | [
"5000159_00.jpg",
"5000159_01.jpg",
"5000159_02.jpg",
"5000159_03.jpg",
"5000159_04.jpg",
"5000159_05.jpg",
"5000159_06.jpg",
"5000159_07.jpg",
"5000159_08.jpg",
"5000159_09.jpg",
"5000159_10.jpg",
"5000159_11.jpg",
"5000159_12.jpg",
"5000159_13.jpg",
"5000159_14.jpg",
"5000159_15.jpg"
] | a herd of thousands of marmots running down the side of a high Swiss mountain | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000159.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 herd of thousands of marmots running down the side of a high Swiss mountain\",\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"
}
] |
0001424 | [
"0001424_00.jpg",
"0001424_01.jpg",
"0001424_02.jpg",
"0001424_03.jpg",
"0001424_04.jpg",
"0001424_05.jpg",
"0001424_06.jpg",
"0001424_07.jpg",
"0001424_08.jpg",
"0001424_09.jpg",
"0001424_10.jpg",
"0001424_11.jpg",
"0001424_12.jpg",
"0001424_13.jpg",
"0001424_14.jpg",
"0001424_15.jpg",
"0001424_16.jpg",
"0001424_17.jpg",
"0001424_18.jpg",
"0001424_19.jpg",
"0001424_20.jpg",
"0001424_21.jpg",
"0001424_22.jpg",
"0001424_23.jpg"
] | 1920 movie with 20ft robot and monk with scary mask dancing in the jungle | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001424.mp4 | 2 | 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 \"1920 movie with 20ft robot and monk with scary mask dancing in the jungle\",\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: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
6004659 | [
"6004659_00.jpg",
"6004659_01.jpg",
"6004659_02.jpg",
"6004659_03.jpg",
"6004659_04.jpg",
"6004659_05.jpg",
"6004659_06.jpg",
"6004659_07.jpg",
"6004659_08.jpg",
"6004659_09.jpg",
"6004659_10.jpg",
"6004659_11.jpg",
"6004659_12.jpg",
"6004659_13.jpg",
"6004659_14.jpg",
"6004659_15.jpg"
] | harry potter and ron in forest | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004659.mp4 | 1 | 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 \"harry potter and ron in 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: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
0004537 | [
"0004537_00.jpg",
"0004537_01.jpg",
"0004537_02.jpg",
"0004537_03.jpg",
"0004537_04.jpg",
"0004537_05.jpg",
"0004537_06.jpg",
"0004537_07.jpg",
"0004537_08.jpg",
"0004537_09.jpg",
"0004537_10.jpg",
"0004537_11.jpg",
"0004537_12.jpg",
"0004537_13.jpg",
"0004537_14.jpg",
"0004537_15.jpg",
"0004537_16.jpg",
"0004537_17.jpg",
"0004537_18.jpg",
"0004537_19.jpg",
"0004537_20.jpg",
"0004537_21.jpg",
"0004537_22.jpg",
"0004537_23.jpg"
] | photo of the sky at the moment of birth | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004537.mp4 | 2 | 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 \"photo of the sky at the moment of birth\",\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: 2\n"
}
] |
3003780 | [
"3003780_00.jpg",
"3003780_01.jpg",
"3003780_02.jpg",
"3003780_03.jpg",
"3003780_04.jpg",
"3003780_05.jpg",
"3003780_06.jpg",
"3003780_07.jpg",
"3003780_08.jpg",
"3003780_09.jpg",
"3003780_10.jpg",
"3003780_11.jpg",
"3003780_12.jpg",
"3003780_13.jpg",
"3003780_14.jpg",
"3003780_15.jpg"
] | the darkness of the cosmic depths | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3003780.mp4 | 1 | 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 \"the darkness of the cosmic depths\",\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: 2\n"
}
] |
9000843 | [
"9000843_00.jpg",
"9000843_01.jpg",
"9000843_02.jpg",
"9000843_03.jpg",
"9000843_04.jpg",
"9000843_05.jpg",
"9000843_06.jpg",
"9000843_07.jpg",
"9000843_08.jpg",
"9000843_09.jpg",
"9000843_10.jpg",
"9000843_11.jpg",
"9000843_12.jpg",
"9000843_13.jpg",
"9000843_14.jpg",
"9000843_15.jpg",
"9000843_16.jpg",
"9000843_17.jpg",
"9000843_18.jpg",
"9000843_19.jpg",
"9000843_20.jpg",
"9000843_21.jpg",
"9000843_22.jpg",
"9000843_23.jpg"
] | the great wave of kanagawa in a bottle in the middle of a table | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000843.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 great wave of kanagawa in a bottle in the middle of a table\",\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"
}
] |
6001137 | [
"6001137_00.jpg",
"6001137_01.jpg",
"6001137_02.jpg",
"6001137_03.jpg",
"6001137_04.jpg",
"6001137_05.jpg",
"6001137_06.jpg",
"6001137_07.jpg",
"6001137_08.jpg",
"6001137_09.jpg",
"6001137_10.jpg",
"6001137_11.jpg",
"6001137_12.jpg",
"6001137_13.jpg",
"6001137_14.jpg",
"6001137_15.jpg"
] | a star shinning in a sky alone at night, 4k, cartoon animation | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001137.mp4 | 3 | 3 | 1 | 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 star shinning in a sky alone at night, 4k, cartoon 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: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
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