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
|
---|---|---|---|---|---|---|---|---|---|
1002332 | [
"1002332_00.jpg",
"1002332_01.jpg",
"1002332_02.jpg",
"1002332_03.jpg",
"1002332_04.jpg",
"1002332_05.jpg",
"1002332_06.jpg",
"1002332_07.jpg",
"1002332_08.jpg",
"1002332_09.jpg",
"1002332_10.jpg",
"1002332_11.jpg",
"1002332_12.jpg",
"1002332_13.jpg",
"1002332_14.jpg",
"1002332_15.jpg"
] | ww2 fighter planes flying over a bombed out city, old style film | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002332.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 \"ww2 fighter planes flying over a bombed out city, old style 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: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0000607 | [
"0000607_00.jpg",
"0000607_01.jpg",
"0000607_02.jpg",
"0000607_03.jpg",
"0000607_04.jpg",
"0000607_05.jpg",
"0000607_06.jpg",
"0000607_07.jpg",
"0000607_08.jpg",
"0000607_09.jpg",
"0000607_10.jpg",
"0000607_11.jpg",
"0000607_12.jpg",
"0000607_13.jpg",
"0000607_14.jpg",
"0000607_15.jpg",
"0000607_16.jpg",
"0000607_17.jpg",
"0000607_18.jpg",
"0000607_19.jpg",
"0000607_20.jpg",
"0000607_21.jpg",
"0000607_22.jpg",
"0000607_23.jpg"
] | Thanos fighting Darth Vader, with a futuristic city in ruins | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000607.mp4 | 3 | 3 | 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 \"Thanos fighting Darth Vader, with a futuristic city in ruins\",\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: 1\n"
}
] |
1002820 | [
"1002820_00.jpg",
"1002820_01.jpg",
"1002820_02.jpg",
"1002820_03.jpg",
"1002820_04.jpg",
"1002820_05.jpg",
"1002820_06.jpg",
"1002820_07.jpg",
"1002820_08.jpg",
"1002820_09.jpg",
"1002820_10.jpg",
"1002820_11.jpg",
"1002820_12.jpg",
"1002820_13.jpg",
"1002820_14.jpg",
"1002820_15.jpg"
] | walter white rolling a stone up a hill | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002820.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 \"walter white rolling a stone up a hill\",\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"
}
] |
3006087 | [
"3006087_00.jpg",
"3006087_01.jpg",
"3006087_02.jpg",
"3006087_03.jpg",
"3006087_04.jpg",
"3006087_05.jpg",
"3006087_06.jpg",
"3006087_07.jpg",
"3006087_08.jpg",
"3006087_09.jpg",
"3006087_10.jpg",
"3006087_11.jpg",
"3006087_12.jpg",
"3006087_13.jpg",
"3006087_14.jpg",
"3006087_15.jpg"
] | cat woman black panther in golden crown, jungles and golden lights around | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006087.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 \"cat woman black panther in golden crown, jungles and golden lights around\",\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: 1\n"
}
] |
1000166 | [
"1000166_00.jpg",
"1000166_01.jpg",
"1000166_02.jpg",
"1000166_03.jpg",
"1000166_04.jpg",
"1000166_05.jpg",
"1000166_06.jpg",
"1000166_07.jpg",
"1000166_08.jpg",
"1000166_09.jpg",
"1000166_10.jpg",
"1000166_11.jpg",
"1000166_12.jpg",
"1000166_13.jpg",
"1000166_14.jpg",
"1000166_15.jpg"
] | The face of a beautiful girl with inflated lips. The camera zooms in on the face. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000166.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 \"The face of a beautiful girl with inflated lips. The camera zooms in on the face.\",\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"
}
] |
1005035 | [
"1005035_00.jpg",
"1005035_01.jpg",
"1005035_02.jpg",
"1005035_03.jpg",
"1005035_04.jpg",
"1005035_05.jpg",
"1005035_06.jpg",
"1005035_07.jpg",
"1005035_08.jpg",
"1005035_09.jpg",
"1005035_10.jpg",
"1005035_11.jpg",
"1005035_12.jpg",
"1005035_13.jpg",
"1005035_14.jpg",
"1005035_15.jpg"
] | Beautiful Russian girl with blue eyes wearing Adidas clothes in winter | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005035.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 Russian girl with blue eyes wearing Adidas clothes in winter\",\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"
}
] |
1001629 | [
"1001629_00.jpg",
"1001629_01.jpg",
"1001629_02.jpg",
"1001629_03.jpg",
"1001629_04.jpg",
"1001629_05.jpg",
"1001629_06.jpg",
"1001629_07.jpg",
"1001629_08.jpg",
"1001629_09.jpg",
"1001629_10.jpg",
"1001629_11.jpg",
"1001629_12.jpg",
"1001629_13.jpg",
"1001629_14.jpg",
"1001629_15.jpg"
] | a person who gets a ray of white light every time he opens his eyes | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001629.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 person who gets a ray of white light every time he opens his eyes\",\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"
}
] |
0001019 | [
"0001019_00.jpg",
"0001019_01.jpg",
"0001019_02.jpg",
"0001019_03.jpg",
"0001019_04.jpg",
"0001019_05.jpg",
"0001019_06.jpg",
"0001019_07.jpg",
"0001019_08.jpg",
"0001019_09.jpg",
"0001019_10.jpg",
"0001019_11.jpg",
"0001019_12.jpg",
"0001019_13.jpg",
"0001019_14.jpg",
"0001019_15.jpg",
"0001019_16.jpg",
"0001019_17.jpg",
"0001019_18.jpg",
"0001019_19.jpg",
"0001019_20.jpg",
"0001019_21.jpg",
"0001019_22.jpg",
"0001019_23.jpg"
] | pug wear winter fantasy clothe smile walk in snow sunny day | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001019.mp4 | 3 | 2 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"pug wear winter fantasy clothe smile walk in snow sunny day\",\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: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1002701 | [
"1002701_00.jpg",
"1002701_01.jpg",
"1002701_02.jpg",
"1002701_03.jpg",
"1002701_04.jpg",
"1002701_05.jpg",
"1002701_06.jpg",
"1002701_07.jpg",
"1002701_08.jpg",
"1002701_09.jpg",
"1002701_10.jpg",
"1002701_11.jpg",
"1002701_12.jpg",
"1002701_13.jpg",
"1002701_14.jpg",
"1002701_15.jpg"
] | an hand that grab a photo from a bedside table | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002701.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 \"an hand that grab a photo from a bedside 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> "
},
{
"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"
}
] |
7000564 | [
"7000564_00.jpg",
"7000564_01.jpg",
"7000564_02.jpg",
"7000564_03.jpg",
"7000564_04.jpg",
"7000564_05.jpg",
"7000564_06.jpg",
"7000564_07.jpg"
] | A man talking while sitting in a restaurant | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000564.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 talking while sitting in a restaurant\",\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"
}
] |
6003146 | [
"6003146_00.jpg",
"6003146_01.jpg",
"6003146_02.jpg",
"6003146_03.jpg",
"6003146_04.jpg",
"6003146_05.jpg",
"6003146_06.jpg",
"6003146_07.jpg",
"6003146_08.jpg",
"6003146_09.jpg",
"6003146_10.jpg",
"6003146_11.jpg",
"6003146_12.jpg",
"6003146_13.jpg",
"6003146_14.jpg",
"6003146_15.jpg"
] | focus to the singer on the big stadium, too many people around, | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003146.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 \"focus to the singer on the big stadium, too many people around,\",\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"
}
] |
7004390 | [
"7004390_00.jpg",
"7004390_01.jpg",
"7004390_02.jpg",
"7004390_03.jpg",
"7004390_04.jpg",
"7004390_05.jpg",
"7004390_06.jpg",
"7004390_07.jpg"
] | the cartoon style, two chinese friends dance together | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004390.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 cartoon style, two chinese friends dance together\",\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"
}
] |
9000202 | [
"9000202_00.jpg",
"9000202_01.jpg",
"9000202_02.jpg",
"9000202_03.jpg",
"9000202_04.jpg",
"9000202_05.jpg",
"9000202_06.jpg",
"9000202_07.jpg",
"9000202_08.jpg",
"9000202_09.jpg",
"9000202_10.jpg",
"9000202_11.jpg",
"9000202_12.jpg",
"9000202_13.jpg",
"9000202_14.jpg",
"9000202_15.jpg",
"9000202_16.jpg",
"9000202_17.jpg",
"9000202_18.jpg",
"9000202_19.jpg",
"9000202_20.jpg",
"9000202_21.jpg",
"9000202_22.jpg",
"9000202_23.jpg"
] | video of a child superhero flying into space | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000202.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 \"video of a child superhero flying into space\",\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"
}
] |
4002709 | [
"4002709_00.jpg",
"4002709_01.jpg",
"4002709_02.jpg",
"4002709_03.jpg",
"4002709_04.jpg",
"4002709_05.jpg",
"4002709_06.jpg",
"4002709_07.jpg",
"4002709_08.jpg",
"4002709_09.jpg",
"4002709_10.jpg",
"4002709_11.jpg",
"4002709_12.jpg",
"4002709_13.jpg",
"4002709_14.jpg",
"4002709_15.jpg"
] | Wisp in the forest, nightmarish atmosphere, black and white, 16.9 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002709.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 \"Wisp in the forest, nightmarish atmosphere, black and white, 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"
}
] |
7001100 | [
"7001100_00.jpg",
"7001100_01.jpg",
"7001100_02.jpg",
"7001100_03.jpg",
"7001100_04.jpg",
"7001100_05.jpg",
"7001100_06.jpg",
"7001100_07.jpg"
] | cartoon girl with black hair and a pink dress holding a cake with a strawberry on top and a single lit candle | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001100.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 \"cartoon girl with black hair and a pink dress holding a cake with a strawberry on top and a single lit candle\",\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"
}
] |
1000933 | [
"1000933_00.jpg",
"1000933_01.jpg",
"1000933_02.jpg",
"1000933_03.jpg",
"1000933_04.jpg",
"1000933_05.jpg",
"1000933_06.jpg",
"1000933_07.jpg",
"1000933_08.jpg",
"1000933_09.jpg",
"1000933_10.jpg",
"1000933_11.jpg",
"1000933_12.jpg",
"1000933_13.jpg",
"1000933_14.jpg",
"1000933_15.jpg"
] | sequoia tree view from a person | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000933.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 \"sequoia tree view from a person\",\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"
}
] |
5001801 | [
"5001801_00.jpg",
"5001801_01.jpg",
"5001801_02.jpg",
"5001801_03.jpg",
"5001801_04.jpg",
"5001801_05.jpg",
"5001801_06.jpg",
"5001801_07.jpg",
"5001801_08.jpg",
"5001801_09.jpg",
"5001801_10.jpg",
"5001801_11.jpg",
"5001801_12.jpg",
"5001801_13.jpg",
"5001801_14.jpg",
"5001801_15.jpg"
] | The spectacular scene of thousands of horses galloping beneath the snowy mountains. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001801.mp4 | 2 | 3 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The spectacular scene of thousands of horses galloping beneath the snowy mountains.\",\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: 2\n"
}
] |
2004966 | [
"2004966_00.jpg",
"2004966_01.jpg",
"2004966_02.jpg",
"2004966_03.jpg",
"2004966_04.jpg",
"2004966_05.jpg",
"2004966_06.jpg",
"2004966_07.jpg",
"2004966_08.jpg",
"2004966_09.jpg",
"2004966_10.jpg",
"2004966_11.jpg",
"2004966_12.jpg",
"2004966_13.jpg",
"2004966_14.jpg",
"2004966_15.jpg"
] | huge english palace attacked by ship | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004966.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 \"huge english palace attacked by ship\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
7000067 | [
"7000067_00.jpg",
"7000067_01.jpg",
"7000067_02.jpg",
"7000067_03.jpg",
"7000067_04.jpg",
"7000067_05.jpg",
"7000067_06.jpg",
"7000067_07.jpg"
] | Boca Juniors players in the bombonera warming up before a match | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000067.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 \"Boca Juniors players in the bombonera warming up before a match\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
8003515 | [
"8003515_00.jpg",
"8003515_01.jpg",
"8003515_02.jpg",
"8003515_03.jpg",
"8003515_04.jpg",
"8003515_05.jpg",
"8003515_06.jpg",
"8003515_07.jpg",
"8003515_08.jpg",
"8003515_09.jpg",
"8003515_10.jpg",
"8003515_11.jpg",
"8003515_12.jpg",
"8003515_13.jpg",
"8003515_14.jpg",
"8003515_15.jpg",
"8003515_16.jpg",
"8003515_17.jpg",
"8003515_18.jpg",
"8003515_19.jpg",
"8003515_20.jpg",
"8003515_21.jpg",
"8003515_22.jpg",
"8003515_23.jpg"
] | white cloth falling off revealing a statue | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003515.mp4 | 1 | 1 | 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 \"white cloth falling off revealing a statue\",\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: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
7004385 | [
"7004385_00.jpg",
"7004385_01.jpg",
"7004385_02.jpg",
"7004385_03.jpg",
"7004385_04.jpg",
"7004385_05.jpg",
"7004385_06.jpg",
"7004385_07.jpg"
] | sequoia tree view from a person | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004385.mp4 | 3 | 3 | 1 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"sequoia tree view from a person\",\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: 1\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
0001618 | [
"0001618_00.jpg",
"0001618_01.jpg",
"0001618_02.jpg",
"0001618_03.jpg",
"0001618_04.jpg",
"0001618_05.jpg",
"0001618_06.jpg",
"0001618_07.jpg",
"0001618_08.jpg",
"0001618_09.jpg",
"0001618_10.jpg",
"0001618_11.jpg",
"0001618_12.jpg",
"0001618_13.jpg",
"0001618_14.jpg",
"0001618_15.jpg",
"0001618_16.jpg",
"0001618_17.jpg",
"0001618_18.jpg",
"0001618_19.jpg",
"0001618_20.jpg",
"0001618_21.jpg",
"0001618_22.jpg",
"0001618_23.jpg"
] | Darth vador Chops the camra with light sabor | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001618.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 \"Darth vador Chops the camra with light sabor\",\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"
}
] |
3002379 | [
"3002379_00.jpg",
"3002379_01.jpg",
"3002379_02.jpg",
"3002379_03.jpg",
"3002379_04.jpg",
"3002379_05.jpg",
"3002379_06.jpg",
"3002379_07.jpg",
"3002379_08.jpg",
"3002379_09.jpg",
"3002379_10.jpg",
"3002379_11.jpg",
"3002379_12.jpg",
"3002379_13.jpg",
"3002379_14.jpg",
"3002379_15.jpg"
] | Conclude with the farmer expressing gratitude to the fairy and the reaffirmation of their special connection through the magical ring. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002379.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 \"Conclude with the farmer expressing gratitude to the fairy and the reaffirmation of their special connection through the magical ring.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
0005335 | [
"0005335_00.jpg",
"0005335_01.jpg",
"0005335_02.jpg",
"0005335_03.jpg",
"0005335_04.jpg",
"0005335_05.jpg",
"0005335_06.jpg",
"0005335_07.jpg",
"0005335_08.jpg",
"0005335_09.jpg",
"0005335_10.jpg",
"0005335_11.jpg",
"0005335_12.jpg",
"0005335_13.jpg",
"0005335_14.jpg",
"0005335_15.jpg",
"0005335_16.jpg",
"0005335_17.jpg",
"0005335_18.jpg",
"0005335_19.jpg",
"0005335_20.jpg",
"0005335_21.jpg",
"0005335_22.jpg",
"0005335_23.jpg"
] | dark pine forest with motor trail | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005335.mp4 | 2 | 2 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"dark pine forest with motor trail\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2002436 | [
"2002436_00.jpg",
"2002436_01.jpg",
"2002436_02.jpg",
"2002436_03.jpg",
"2002436_04.jpg",
"2002436_05.jpg",
"2002436_06.jpg",
"2002436_07.jpg",
"2002436_08.jpg",
"2002436_09.jpg",
"2002436_10.jpg",
"2002436_11.jpg",
"2002436_12.jpg",
"2002436_13.jpg",
"2002436_14.jpg",
"2002436_15.jpg"
] | The story begins in a picturesque small town. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002436.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 story begins in a picturesque small town.\",\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"
}
] |
7003340 | [
"7003340_00.jpg",
"7003340_01.jpg",
"7003340_02.jpg",
"7003340_03.jpg",
"7003340_04.jpg",
"7003340_05.jpg",
"7003340_06.jpg",
"7003340_07.jpg"
] | CIVIL WORK CONSTRUCTION Message: COCHO BENITEZ (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003340.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 \"CIVIL WORK CONSTRUCTION Message: COCHO BENITEZ (Font: MODERN)\",\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"
}
] |
8000667 | [
"8000667_00.jpg",
"8000667_01.jpg",
"8000667_02.jpg",
"8000667_03.jpg",
"8000667_04.jpg",
"8000667_05.jpg",
"8000667_06.jpg",
"8000667_07.jpg",
"8000667_08.jpg",
"8000667_09.jpg",
"8000667_10.jpg",
"8000667_11.jpg",
"8000667_12.jpg",
"8000667_13.jpg",
"8000667_14.jpg",
"8000667_15.jpg",
"8000667_16.jpg",
"8000667_17.jpg",
"8000667_18.jpg",
"8000667_19.jpg",
"8000667_20.jpg",
"8000667_21.jpg",
"8000667_22.jpg",
"8000667_23.jpg"
] | person who thinks about christmas as a child | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000667.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 \"person who thinks about christmas as a child\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3006397 | [
"3006397_00.jpg",
"3006397_01.jpg",
"3006397_02.jpg",
"3006397_03.jpg",
"3006397_04.jpg",
"3006397_05.jpg",
"3006397_06.jpg",
"3006397_07.jpg",
"3006397_08.jpg",
"3006397_09.jpg",
"3006397_10.jpg",
"3006397_11.jpg",
"3006397_12.jpg",
"3006397_13.jpg",
"3006397_14.jpg",
"3006397_15.jpg"
] | a great white shark with feathers on its back diving deep into the ocean | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006397.mp4 | 1 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a great white shark with feathers on its back diving deep into the ocean\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3006008 | [
"3006008_00.jpg",
"3006008_01.jpg",
"3006008_02.jpg",
"3006008_03.jpg",
"3006008_04.jpg",
"3006008_05.jpg",
"3006008_06.jpg",
"3006008_07.jpg",
"3006008_08.jpg",
"3006008_09.jpg",
"3006008_10.jpg",
"3006008_11.jpg",
"3006008_12.jpg",
"3006008_13.jpg",
"3006008_14.jpg",
"3006008_15.jpg"
] | Describe the first encounter between the sea man and the sea girl, highlighting the magical atmosphere of the ocean, 3d rendering, ultra hd | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006008.mp4 | 1 | 3 | 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 \"Describe the first encounter between the sea man and the sea girl, highlighting the magical atmosphere of the ocean, 3d rendering, ultra hd\",\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: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
8003810 | [
"8003810_00.jpg",
"8003810_01.jpg",
"8003810_02.jpg",
"8003810_03.jpg",
"8003810_04.jpg",
"8003810_05.jpg",
"8003810_06.jpg",
"8003810_07.jpg",
"8003810_08.jpg",
"8003810_09.jpg",
"8003810_10.jpg",
"8003810_11.jpg",
"8003810_12.jpg",
"8003810_13.jpg",
"8003810_14.jpg",
"8003810_15.jpg",
"8003810_16.jpg",
"8003810_17.jpg",
"8003810_18.jpg",
"8003810_19.jpg",
"8003810_20.jpg",
"8003810_21.jpg",
"8003810_22.jpg",
"8003810_23.jpg"
] | 3 small rabbits playing in the back garden of the house, laughter, grass, toys, bicycle, late night | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003810.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 \"3 small rabbits playing in the back garden of the house, laughter, grass, toys, bicycle, late night\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3002835 | [
"3002835_00.jpg",
"3002835_01.jpg",
"3002835_02.jpg",
"3002835_03.jpg",
"3002835_04.jpg",
"3002835_05.jpg",
"3002835_06.jpg",
"3002835_07.jpg",
"3002835_08.jpg",
"3002835_09.jpg",
"3002835_10.jpg",
"3002835_11.jpg",
"3002835_12.jpg",
"3002835_13.jpg",
"3002835_14.jpg",
"3002835_15.jpg"
] | man on the beach enjoying the fresh sea air | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002835.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 \"man on the beach enjoying the fresh sea air\",\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"
}
] |
6000052 | [
"6000052_00.jpg",
"6000052_01.jpg",
"6000052_02.jpg",
"6000052_03.jpg",
"6000052_04.jpg",
"6000052_05.jpg",
"6000052_06.jpg",
"6000052_07.jpg",
"6000052_08.jpg",
"6000052_09.jpg",
"6000052_10.jpg",
"6000052_11.jpg",
"6000052_12.jpg",
"6000052_13.jpg",
"6000052_14.jpg",
"6000052_15.jpg"
] | Make a video of Fox walking, in 3D animation | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000052.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 \"Make a video of Fox walking, in 3D animation\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2000792 | [
"2000792_00.jpg",
"2000792_01.jpg",
"2000792_02.jpg",
"2000792_03.jpg",
"2000792_04.jpg",
"2000792_05.jpg",
"2000792_06.jpg",
"2000792_07.jpg",
"2000792_08.jpg",
"2000792_09.jpg",
"2000792_10.jpg",
"2000792_11.jpg",
"2000792_12.jpg",
"2000792_13.jpg",
"2000792_14.jpg",
"2000792_15.jpg"
] | documentary from 1980 about faerys in south america. The color are softs and style is vintage. VHS | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000792.mp4 | 3 | 3 | 2 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"documentary from 1980 about faerys in south america. The color are softs and style is vintage. VHS\",\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: 2\n"
}
] |
4004776 | [
"4004776_00.jpg",
"4004776_01.jpg",
"4004776_02.jpg",
"4004776_03.jpg",
"4004776_04.jpg",
"4004776_05.jpg",
"4004776_06.jpg",
"4004776_07.jpg",
"4004776_08.jpg",
"4004776_09.jpg",
"4004776_10.jpg",
"4004776_11.jpg",
"4004776_12.jpg",
"4004776_13.jpg",
"4004776_14.jpg",
"4004776_15.jpg"
] | romulan star empire protype Battlestar in orbit of earthling planet | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004776.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 \"romulan star empire protype Battlestar in orbit of earthling 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> "
},
{
"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"
}
] |
1000522 | [
"1000522_00.jpg",
"1000522_01.jpg",
"1000522_02.jpg",
"1000522_03.jpg",
"1000522_04.jpg",
"1000522_05.jpg",
"1000522_06.jpg",
"1000522_07.jpg",
"1000522_08.jpg",
"1000522_09.jpg",
"1000522_10.jpg",
"1000522_11.jpg",
"1000522_12.jpg",
"1000522_13.jpg",
"1000522_14.jpg",
"1000522_15.jpg"
] | Late at night, the young man talks to the old man sitting in the grave | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000522.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 \"Late at night, the young man talks to the old man sitting in the grave\",\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"
}
] |
3002339 | [
"3002339_00.jpg",
"3002339_01.jpg",
"3002339_02.jpg",
"3002339_03.jpg",
"3002339_04.jpg",
"3002339_05.jpg",
"3002339_06.jpg",
"3002339_07.jpg",
"3002339_08.jpg",
"3002339_09.jpg",
"3002339_10.jpg",
"3002339_11.jpg",
"3002339_12.jpg",
"3002339_13.jpg",
"3002339_14.jpg",
"3002339_15.jpg"
] | zoom in Whales swimmimg in dark sky with auras borials from norwey , HDR | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002339.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 \"zoom in Whales swimmimg in dark sky with auras borials from norwey , HDR\",\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"
}
] |
0002865 | [
"0002865_00.jpg",
"0002865_01.jpg",
"0002865_02.jpg",
"0002865_03.jpg",
"0002865_04.jpg",
"0002865_05.jpg",
"0002865_06.jpg",
"0002865_07.jpg",
"0002865_08.jpg",
"0002865_09.jpg",
"0002865_10.jpg",
"0002865_11.jpg",
"0002865_12.jpg",
"0002865_13.jpg",
"0002865_14.jpg",
"0002865_15.jpg",
"0002865_16.jpg",
"0002865_17.jpg",
"0002865_18.jpg",
"0002865_19.jpg",
"0002865_20.jpg",
"0002865_21.jpg",
"0002865_22.jpg",
"0002865_23.jpg"
] | fantasy video game screensaver animated text | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002865.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 \"fantasy video game screensaver animated text\",\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"
}
] |
3000414 | [
"3000414_00.jpg",
"3000414_01.jpg",
"3000414_02.jpg",
"3000414_03.jpg",
"3000414_04.jpg",
"3000414_05.jpg",
"3000414_06.jpg",
"3000414_07.jpg",
"3000414_08.jpg",
"3000414_09.jpg",
"3000414_10.jpg",
"3000414_11.jpg",
"3000414_12.jpg",
"3000414_13.jpg",
"3000414_14.jpg",
"3000414_15.jpg"
] | a drawing of a boat in water sailing in heavy weather | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000414.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 drawing of a boat in water sailing in heavy weather\",\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"
}
] |
3005312 | [
"3005312_00.jpg",
"3005312_01.jpg",
"3005312_02.jpg",
"3005312_03.jpg",
"3005312_04.jpg",
"3005312_05.jpg",
"3005312_06.jpg",
"3005312_07.jpg",
"3005312_08.jpg",
"3005312_09.jpg",
"3005312_10.jpg",
"3005312_11.jpg",
"3005312_12.jpg",
"3005312_13.jpg",
"3005312_14.jpg",
"3005312_15.jpg"
] | the devil takes the soul of a girl, in tongues of flame digital art, 1:1 motion xx 2 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005312.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 \"the devil takes the soul of a girl, in tongues of flame digital art, 1:1 motion xx 2\",\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"
}
] |
2005755 | [
"2005755_00.jpg",
"2005755_01.jpg",
"2005755_02.jpg",
"2005755_03.jpg",
"2005755_04.jpg",
"2005755_05.jpg",
"2005755_06.jpg",
"2005755_07.jpg",
"2005755_08.jpg",
"2005755_09.jpg",
"2005755_10.jpg",
"2005755_11.jpg",
"2005755_12.jpg",
"2005755_13.jpg",
"2005755_14.jpg",
"2005755_15.jpg"
] | A Chinese structure during the day with a sun flare in the corner, bluejays flying above it, and a midget dancing in front of it flapper style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005755.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 \"A Chinese structure during the day with a sun flare in the corner, bluejays flying above it, and a midget dancing in front of it flapper 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: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
0003473 | [
"0003473_00.jpg",
"0003473_01.jpg",
"0003473_02.jpg",
"0003473_03.jpg",
"0003473_04.jpg",
"0003473_05.jpg",
"0003473_06.jpg",
"0003473_07.jpg",
"0003473_08.jpg",
"0003473_09.jpg",
"0003473_10.jpg",
"0003473_11.jpg",
"0003473_12.jpg",
"0003473_13.jpg",
"0003473_14.jpg",
"0003473_15.jpg",
"0003473_16.jpg",
"0003473_17.jpg",
"0003473_18.jpg",
"0003473_19.jpg",
"0003473_20.jpg",
"0003473_21.jpg",
"0003473_22.jpg",
"0003473_23.jpg"
] | person sitting in the corner of room facing the wall | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003473.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 \"person sitting in the corner of room facing the wall\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1001959 | [
"1001959_00.jpg",
"1001959_01.jpg",
"1001959_02.jpg",
"1001959_03.jpg",
"1001959_04.jpg",
"1001959_05.jpg",
"1001959_06.jpg",
"1001959_07.jpg",
"1001959_08.jpg",
"1001959_09.jpg",
"1001959_10.jpg",
"1001959_11.jpg",
"1001959_12.jpg",
"1001959_13.jpg",
"1001959_14.jpg",
"1001959_15.jpg"
] | make a 2 min 50 second music video about getting money from selling dope and driving fast cars with explosions in the background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001959.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 \"make a 2 min 50 second music video about getting money from selling dope and driving fast cars with explosions in the background\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
3005797 | [
"3005797_00.jpg",
"3005797_01.jpg",
"3005797_02.jpg",
"3005797_03.jpg",
"3005797_04.jpg",
"3005797_05.jpg",
"3005797_06.jpg",
"3005797_07.jpg",
"3005797_08.jpg",
"3005797_09.jpg",
"3005797_10.jpg",
"3005797_11.jpg",
"3005797_12.jpg",
"3005797_13.jpg",
"3005797_14.jpg",
"3005797_15.jpg"
] | a man sandblasts the body of an old car | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005797.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 man sandblasts the body of an old 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: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
0006166 | [
"0006166_00.jpg",
"0006166_01.jpg",
"0006166_02.jpg",
"0006166_03.jpg",
"0006166_04.jpg",
"0006166_05.jpg",
"0006166_06.jpg",
"0006166_07.jpg",
"0006166_08.jpg",
"0006166_09.jpg",
"0006166_10.jpg",
"0006166_11.jpg",
"0006166_12.jpg",
"0006166_13.jpg",
"0006166_14.jpg",
"0006166_15.jpg",
"0006166_16.jpg",
"0006166_17.jpg",
"0006166_18.jpg",
"0006166_19.jpg",
"0006166_20.jpg",
"0006166_21.jpg",
"0006166_22.jpg",
"0006166_23.jpg"
] | In the Day of Judgment, Hazrat Muhammad descends from the sky to the Earth, with a white beard and in a white robe. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006166.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 \"In the Day of Judgment, Hazrat Muhammad descends from the sky to the Earth, with a white beard and in a white robe.\",\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"
}
] |
2000170 | [
"2000170_00.jpg",
"2000170_01.jpg",
"2000170_02.jpg",
"2000170_03.jpg",
"2000170_04.jpg",
"2000170_05.jpg",
"2000170_06.jpg",
"2000170_07.jpg",
"2000170_08.jpg",
"2000170_09.jpg",
"2000170_10.jpg",
"2000170_11.jpg",
"2000170_12.jpg",
"2000170_13.jpg",
"2000170_14.jpg",
"2000170_15.jpg"
] | Depict the king looking tired and hungry as he travels,4k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000170.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 \"Depict the king looking tired and hungry as he travels,4k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
9000199 | [
"9000199_00.jpg",
"9000199_01.jpg",
"9000199_02.jpg",
"9000199_03.jpg",
"9000199_04.jpg",
"9000199_05.jpg",
"9000199_06.jpg",
"9000199_07.jpg",
"9000199_08.jpg",
"9000199_09.jpg",
"9000199_10.jpg",
"9000199_11.jpg",
"9000199_12.jpg",
"9000199_13.jpg",
"9000199_14.jpg",
"9000199_15.jpg",
"9000199_16.jpg",
"9000199_17.jpg",
"9000199_18.jpg",
"9000199_19.jpg",
"9000199_20.jpg",
"9000199_21.jpg",
"9000199_22.jpg",
"9000199_23.jpg"
] | in the rainy day the both girl and boy hug in the garden in Japanese aanime | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000199.mp4 | 1 | 1 | 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 \"in the rainy day the both girl and boy hug in the garden in Japanese aanime\",\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: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
9000686 | [
"9000686_00.jpg",
"9000686_01.jpg",
"9000686_02.jpg",
"9000686_03.jpg",
"9000686_04.jpg",
"9000686_05.jpg",
"9000686_06.jpg",
"9000686_07.jpg",
"9000686_08.jpg",
"9000686_09.jpg",
"9000686_10.jpg",
"9000686_11.jpg",
"9000686_12.jpg",
"9000686_13.jpg",
"9000686_14.jpg",
"9000686_15.jpg",
"9000686_16.jpg",
"9000686_17.jpg",
"9000686_18.jpg",
"9000686_19.jpg",
"9000686_20.jpg",
"9000686_21.jpg",
"9000686_22.jpg",
"9000686_23.jpg"
] | “The air grows tense as a hand emerges from the darkness, fingers wrapping around the cold metal of the gun’s trigger.” | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000686.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 \"“The air grows tense as a hand emerges from the darkness, fingers wrapping around the cold metal of the gun’s trigger.”\",\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"
}
] |
2003045 | [
"2003045_00.jpg",
"2003045_01.jpg",
"2003045_02.jpg",
"2003045_03.jpg",
"2003045_04.jpg",
"2003045_05.jpg",
"2003045_06.jpg",
"2003045_07.jpg",
"2003045_08.jpg",
"2003045_09.jpg",
"2003045_10.jpg",
"2003045_11.jpg",
"2003045_12.jpg",
"2003045_13.jpg",
"2003045_14.jpg",
"2003045_15.jpg"
] | a collectors display closet full of colorful bugs | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003045.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 \"a collectors display closet full of colorful bugs\",\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"
}
] |
1001751 | [
"1001751_00.jpg",
"1001751_01.jpg",
"1001751_02.jpg",
"1001751_03.jpg",
"1001751_04.jpg",
"1001751_05.jpg",
"1001751_06.jpg",
"1001751_07.jpg",
"1001751_08.jpg",
"1001751_09.jpg",
"1001751_10.jpg",
"1001751_11.jpg",
"1001751_12.jpg",
"1001751_13.jpg",
"1001751_14.jpg",
"1001751_15.jpg"
] | realistic stoner whale chilling with his homies with a gorgeous flowing watery background, in the style of 32k uhd, beautiful, detailed marine views, florescent skin, iridescence, underwater sci – fi, beautiful nature | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001751.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 \"realistic stoner whale chilling with his homies with a gorgeous flowing watery background, in the style of 32k uhd, beautiful, detailed marine views, florescent skin, iridescence, underwater sci – fi, beautiful nature\",\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"
}
] |
6002395 | [
"6002395_00.jpg",
"6002395_01.jpg",
"6002395_02.jpg",
"6002395_03.jpg",
"6002395_04.jpg",
"6002395_05.jpg",
"6002395_06.jpg",
"6002395_07.jpg",
"6002395_08.jpg",
"6002395_09.jpg",
"6002395_10.jpg",
"6002395_11.jpg",
"6002395_12.jpg",
"6002395_13.jpg",
"6002395_14.jpg",
"6002395_15.jpg"
] | Murnau movies. Clouds are moving and fog is burning. Thunder and rain. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002395.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 \"Murnau movies. Clouds are moving and fog is burning. Thunder and rain.\",\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"
}
] |
s000736 | [
"s000736_00.jpg",
"s000736_01.jpg",
"s000736_02.jpg",
"s000736_03.jpg",
"s000736_04.jpg",
"s000736_05.jpg",
"s000736_06.jpg",
"s000736_07.jpg",
"s000736_08.jpg",
"s000736_09.jpg",
"s000736_10.jpg",
"s000736_11.jpg",
"s000736_12.jpg",
"s000736_13.jpg",
"s000736_14.jpg",
"s000736_15.jpg",
"s000736_16.jpg",
"s000736_17.jpg",
"s000736_18.jpg",
"s000736_19.jpg"
] | An old woman walks with heavy steps | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000736.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 \"An old woman walks with heavy steps\",\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"
}
] |
2000419 | [
"2000419_00.jpg",
"2000419_01.jpg",
"2000419_02.jpg",
"2000419_03.jpg",
"2000419_04.jpg",
"2000419_05.jpg",
"2000419_06.jpg",
"2000419_07.jpg",
"2000419_08.jpg",
"2000419_09.jpg",
"2000419_10.jpg",
"2000419_11.jpg",
"2000419_12.jpg",
"2000419_13.jpg",
"2000419_14.jpg",
"2000419_15.jpg"
] | mystical village at the highest mountains of nepal,snowstorm,realistic,cinematic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000419.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 \"mystical village at the highest mountains of nepal,snowstorm,realistic,cinematic\",\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"
}
] |
4000877 | [
"4000877_00.jpg",
"4000877_01.jpg",
"4000877_02.jpg",
"4000877_03.jpg",
"4000877_04.jpg",
"4000877_05.jpg",
"4000877_06.jpg",
"4000877_07.jpg",
"4000877_08.jpg",
"4000877_09.jpg",
"4000877_10.jpg",
"4000877_11.jpg",
"4000877_12.jpg",
"4000877_13.jpg",
"4000877_14.jpg",
"4000877_15.jpg"
] | While there are significant challenges ahead, there are also opportunities for positive change and innovation | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000877.mp4 | 2 | 1 | 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 \"While there are significant challenges ahead, there are also opportunities for positive change and innovation\",\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: 3\n"
}
] |
3002990 | [
"3002990_00.jpg",
"3002990_01.jpg",
"3002990_02.jpg",
"3002990_03.jpg",
"3002990_04.jpg",
"3002990_05.jpg",
"3002990_06.jpg",
"3002990_07.jpg",
"3002990_08.jpg",
"3002990_09.jpg",
"3002990_10.jpg",
"3002990_11.jpg",
"3002990_12.jpg",
"3002990_13.jpg",
"3002990_14.jpg",
"3002990_15.jpg"
] | the band bring me the horizon performing a metalcore song on the stage of a small club | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002990.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 band bring me the horizon performing a metalcore song on the stage of a small club\",\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"
}
] |
6004925 | [
"6004925_00.jpg",
"6004925_01.jpg",
"6004925_02.jpg",
"6004925_03.jpg",
"6004925_04.jpg",
"6004925_05.jpg",
"6004925_06.jpg",
"6004925_07.jpg",
"6004925_08.jpg",
"6004925_09.jpg",
"6004925_10.jpg",
"6004925_11.jpg",
"6004925_12.jpg",
"6004925_13.jpg",
"6004925_14.jpg",
"6004925_15.jpg"
] | a cat play keyboard with Elon Must face on it | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004925.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 cat play keyboard with Elon Must face on it\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
1002363 | [
"1002363_00.jpg",
"1002363_01.jpg",
"1002363_02.jpg",
"1002363_03.jpg",
"1002363_04.jpg",
"1002363_05.jpg",
"1002363_06.jpg",
"1002363_07.jpg",
"1002363_08.jpg",
"1002363_09.jpg",
"1002363_10.jpg",
"1002363_11.jpg",
"1002363_12.jpg",
"1002363_13.jpg",
"1002363_14.jpg",
"1002363_15.jpg"
] | a cat holding a fish whille running | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002363.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 cat holding a fish whille running\",\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"
}
] |
1000714 | [
"1000714_00.jpg",
"1000714_01.jpg",
"1000714_02.jpg",
"1000714_03.jpg",
"1000714_04.jpg",
"1000714_05.jpg",
"1000714_06.jpg",
"1000714_07.jpg",
"1000714_08.jpg",
"1000714_09.jpg",
"1000714_10.jpg",
"1000714_11.jpg",
"1000714_12.jpg",
"1000714_13.jpg",
"1000714_14.jpg",
"1000714_15.jpg"
] | A table full of pixar style food | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000714.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 table full of pixar style food\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
0000711 | [
"0000711_00.jpg",
"0000711_01.jpg",
"0000711_02.jpg",
"0000711_03.jpg",
"0000711_04.jpg",
"0000711_05.jpg",
"0000711_06.jpg",
"0000711_07.jpg",
"0000711_08.jpg",
"0000711_09.jpg",
"0000711_10.jpg",
"0000711_11.jpg",
"0000711_12.jpg",
"0000711_13.jpg",
"0000711_14.jpg",
"0000711_15.jpg",
"0000711_16.jpg",
"0000711_17.jpg",
"0000711_18.jpg",
"0000711_19.jpg",
"0000711_20.jpg",
"0000711_21.jpg",
"0000711_22.jpg",
"0000711_23.jpg"
] | Elara, the wise old woman, with gray hair and a weathered face. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000711.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 \"Elara, the wise old woman, with gray hair and a weathered face.\",\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"
}
] |
7002960 | [
"7002960_00.jpg",
"7002960_01.jpg",
"7002960_02.jpg",
"7002960_03.jpg",
"7002960_04.jpg",
"7002960_05.jpg",
"7002960_06.jpg",
"7002960_07.jpg"
] | a 10s video of a chiwawa on a horse back in the moon light | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002960.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 10s video of a chiwawa on a horse back in the moon light\",\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"
}
] |
7001848 | [
"7001848_00.jpg",
"7001848_01.jpg",
"7001848_02.jpg",
"7001848_03.jpg",
"7001848_04.jpg",
"7001848_05.jpg",
"7001848_06.jpg",
"7001848_07.jpg"
] | realistic look. Dog at hotel at new years. Fireworks, confetti, and funny hats, smiling dog | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001848.mp4 | 2 | 2 | 1 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"realistic look. Dog at hotel at new years. Fireworks, confetti, and funny hats, smiling dog\",\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: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0001617 | [
"0001617_00.jpg",
"0001617_01.jpg",
"0001617_02.jpg",
"0001617_03.jpg",
"0001617_04.jpg",
"0001617_05.jpg",
"0001617_06.jpg",
"0001617_07.jpg",
"0001617_08.jpg",
"0001617_09.jpg",
"0001617_10.jpg",
"0001617_11.jpg",
"0001617_12.jpg",
"0001617_13.jpg",
"0001617_14.jpg",
"0001617_15.jpg",
"0001617_16.jpg",
"0001617_17.jpg",
"0001617_18.jpg",
"0001617_19.jpg",
"0001617_20.jpg",
"0001617_21.jpg",
"0001617_22.jpg",
"0001617_23.jpg"
] | Wind and water flowing to infinity | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001617.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 \"Wind and water flowing to infinity\",\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: 3\n"
}
] |
1002056 | [
"1002056_00.jpg",
"1002056_01.jpg",
"1002056_02.jpg",
"1002056_03.jpg",
"1002056_04.jpg",
"1002056_05.jpg",
"1002056_06.jpg",
"1002056_07.jpg",
"1002056_08.jpg",
"1002056_09.jpg",
"1002056_10.jpg",
"1002056_11.jpg",
"1002056_12.jpg",
"1002056_13.jpg",
"1002056_14.jpg",
"1002056_15.jpg"
] | Rocks, leaves , stones and props are flying through the air and eyes blings | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002056.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 \"Rocks, leaves , stones and props are flying through the air and eyes blings\",\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"
}
] |
3001359 | [
"3001359_00.jpg",
"3001359_01.jpg",
"3001359_02.jpg",
"3001359_03.jpg",
"3001359_04.jpg",
"3001359_05.jpg",
"3001359_06.jpg",
"3001359_07.jpg",
"3001359_08.jpg",
"3001359_09.jpg",
"3001359_10.jpg",
"3001359_11.jpg",
"3001359_12.jpg",
"3001359_13.jpg",
"3001359_14.jpg",
"3001359_15.jpg"
] | A professional female soccer player is playing on the field, kicking the ball. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001359.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 professional female soccer player is playing on the field, kicking the ball.\",\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"
}
] |
1002714 | [
"1002714_00.jpg",
"1002714_01.jpg",
"1002714_02.jpg",
"1002714_03.jpg",
"1002714_04.jpg",
"1002714_05.jpg",
"1002714_06.jpg",
"1002714_07.jpg",
"1002714_08.jpg",
"1002714_09.jpg",
"1002714_10.jpg",
"1002714_11.jpg",
"1002714_12.jpg",
"1002714_13.jpg",
"1002714_14.jpg",
"1002714_15.jpg"
] | bikini model wearing pink Power Ranger bikini, bikini explodes, model gives a thumbs up with her hand | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002714.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 \"bikini model wearing pink Power Ranger bikini, bikini explodes, model gives a thumbs up with her hand\",\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"
}
] |
2001523 | [
"2001523_00.jpg",
"2001523_01.jpg",
"2001523_02.jpg",
"2001523_03.jpg",
"2001523_04.jpg",
"2001523_05.jpg",
"2001523_06.jpg",
"2001523_07.jpg",
"2001523_08.jpg",
"2001523_09.jpg",
"2001523_10.jpg",
"2001523_11.jpg",
"2001523_12.jpg",
"2001523_13.jpg",
"2001523_14.jpg",
"2001523_15.jpg"
] | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001523.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 \"\",\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"
}
] |
|
7004741 | [
"7004741_00.jpg",
"7004741_01.jpg",
"7004741_02.jpg",
"7004741_03.jpg",
"7004741_04.jpg",
"7004741_05.jpg",
"7004741_06.jpg",
"7004741_07.jpg"
] | Little Mary toddler closeup, turning and smiling, angels gracefully flying over her | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004741.mp4 | 1 | 3 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Little Mary toddler closeup, turning and smiling, angels gracefully flying over her\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
8003359 | [
"8003359_00.jpg",
"8003359_01.jpg",
"8003359_02.jpg",
"8003359_03.jpg",
"8003359_04.jpg",
"8003359_05.jpg",
"8003359_06.jpg",
"8003359_07.jpg",
"8003359_08.jpg",
"8003359_09.jpg",
"8003359_10.jpg",
"8003359_11.jpg",
"8003359_12.jpg",
"8003359_13.jpg",
"8003359_14.jpg",
"8003359_15.jpg",
"8003359_16.jpg",
"8003359_17.jpg",
"8003359_18.jpg",
"8003359_19.jpg",
"8003359_20.jpg",
"8003359_21.jpg",
"8003359_22.jpg",
"8003359_23.jpg"
] | The great plague in london, very speedy | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003359.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 \"The great plague in london, very speedy\",\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"
}
] |
3001361 | [
"3001361_00.jpg",
"3001361_01.jpg",
"3001361_02.jpg",
"3001361_03.jpg",
"3001361_04.jpg",
"3001361_05.jpg",
"3001361_06.jpg",
"3001361_07.jpg",
"3001361_08.jpg",
"3001361_09.jpg",
"3001361_10.jpg",
"3001361_11.jpg",
"3001361_12.jpg",
"3001361_13.jpg",
"3001361_14.jpg",
"3001361_15.jpg"
] | two kids playing roufly in the school and it ends up with one of them falls to the ground. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001361.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 \"two kids playing roufly in the school and it ends up with one of them falls to the ground.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0001155 | [
"0001155_00.jpg",
"0001155_01.jpg",
"0001155_02.jpg",
"0001155_03.jpg",
"0001155_04.jpg",
"0001155_05.jpg",
"0001155_06.jpg",
"0001155_07.jpg",
"0001155_08.jpg",
"0001155_09.jpg",
"0001155_10.jpg",
"0001155_11.jpg",
"0001155_12.jpg",
"0001155_13.jpg",
"0001155_14.jpg",
"0001155_15.jpg",
"0001155_16.jpg",
"0001155_17.jpg",
"0001155_18.jpg",
"0001155_19.jpg",
"0001155_20.jpg",
"0001155_21.jpg",
"0001155_22.jpg",
"0001155_23.jpg"
] | lion mane flowing objects around him moving | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001155.mp4 | 3 | 1 | 1 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"lion mane flowing objects around him 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> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3001929 | [
"3001929_00.jpg",
"3001929_01.jpg",
"3001929_02.jpg",
"3001929_03.jpg",
"3001929_04.jpg",
"3001929_05.jpg",
"3001929_06.jpg",
"3001929_07.jpg",
"3001929_08.jpg",
"3001929_09.jpg",
"3001929_10.jpg",
"3001929_11.jpg",
"3001929_12.jpg",
"3001929_13.jpg",
"3001929_14.jpg",
"3001929_15.jpg"
] | a man sitting on the park bench at dusk, he thinking about a future | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001929.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 man sitting on the park bench at dusk, he thinking about a future\",\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"
}
] |
6001935 | [
"6001935_00.jpg",
"6001935_01.jpg",
"6001935_02.jpg",
"6001935_03.jpg",
"6001935_04.jpg",
"6001935_05.jpg",
"6001935_06.jpg",
"6001935_07.jpg",
"6001935_08.jpg",
"6001935_09.jpg",
"6001935_10.jpg",
"6001935_11.jpg",
"6001935_12.jpg",
"6001935_13.jpg",
"6001935_14.jpg",
"6001935_15.jpg"
] | a lamborghini racing in a desert. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001935.mp4 | 3 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a lamborghini racing in a desert.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3005889 | [
"3005889_00.jpg",
"3005889_01.jpg",
"3005889_02.jpg",
"3005889_03.jpg",
"3005889_04.jpg",
"3005889_05.jpg",
"3005889_06.jpg",
"3005889_07.jpg",
"3005889_08.jpg",
"3005889_09.jpg",
"3005889_10.jpg",
"3005889_11.jpg",
"3005889_12.jpg",
"3005889_13.jpg",
"3005889_14.jpg",
"3005889_15.jpg"
] | panda super hero flying on bulidings | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005889.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 \"panda super hero flying on bulidings\",\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"
}
] |
2001855 | [
"2001855_00.jpg",
"2001855_01.jpg",
"2001855_02.jpg",
"2001855_03.jpg",
"2001855_04.jpg",
"2001855_05.jpg",
"2001855_06.jpg",
"2001855_07.jpg",
"2001855_08.jpg",
"2001855_09.jpg",
"2001855_10.jpg",
"2001855_11.jpg",
"2001855_12.jpg",
"2001855_13.jpg",
"2001855_14.jpg",
"2001855_15.jpg"
] | a ultra detailed and realistic gta a super can drifting on highway. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001855.mp4 | 3 | 3 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a ultra detailed and realistic gta a super can drifting on highway.\",\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"
}
] |
3002720 | [
"3002720_00.jpg",
"3002720_01.jpg",
"3002720_02.jpg",
"3002720_03.jpg",
"3002720_04.jpg",
"3002720_05.jpg",
"3002720_06.jpg",
"3002720_07.jpg",
"3002720_08.jpg",
"3002720_09.jpg",
"3002720_10.jpg",
"3002720_11.jpg",
"3002720_12.jpg",
"3002720_13.jpg",
"3002720_14.jpg",
"3002720_15.jpg"
] | Ronaldo and Aslan playing ball with each other, realistic ultra graphics | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002720.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 \"Ronaldo and Aslan playing ball with each other, realistic ultra graphics\",\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"
}
] |
1000729 | [
"1000729_00.jpg",
"1000729_01.jpg",
"1000729_02.jpg",
"1000729_03.jpg",
"1000729_04.jpg",
"1000729_05.jpg",
"1000729_06.jpg",
"1000729_07.jpg",
"1000729_08.jpg",
"1000729_09.jpg",
"1000729_10.jpg",
"1000729_11.jpg",
"1000729_12.jpg",
"1000729_13.jpg",
"1000729_14.jpg",
"1000729_15.jpg"
] | Conversation among fellow ants about a grand feast in the meadow | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000729.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 \"Conversation among fellow ants about a grand feast in the meadow\",\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"
}
] |
2001746 | [
"2001746_00.jpg",
"2001746_01.jpg",
"2001746_02.jpg",
"2001746_03.jpg",
"2001746_04.jpg",
"2001746_05.jpg",
"2001746_06.jpg",
"2001746_07.jpg",
"2001746_08.jpg",
"2001746_09.jpg",
"2001746_10.jpg",
"2001746_11.jpg",
"2001746_12.jpg",
"2001746_13.jpg",
"2001746_14.jpg",
"2001746_15.jpg"
] | futuristic spaceships flying in the cloudy sky with thunder, rain and strong wind, movements | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001746.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 \"futuristic spaceships flying in the cloudy sky with thunder, rain and strong wind, movements\",\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"
}
] |
6003812 | [
"6003812_00.jpg",
"6003812_01.jpg",
"6003812_02.jpg",
"6003812_03.jpg",
"6003812_04.jpg",
"6003812_05.jpg",
"6003812_06.jpg",
"6003812_07.jpg",
"6003812_08.jpg",
"6003812_09.jpg",
"6003812_10.jpg",
"6003812_11.jpg",
"6003812_12.jpg",
"6003812_13.jpg",
"6003812_14.jpg",
"6003812_15.jpg"
] | steak bun steamy table shot tasty food | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003812.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 \"steak bun steamy table shot tasty food\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
2001028 | [
"2001028_00.jpg",
"2001028_01.jpg",
"2001028_02.jpg",
"2001028_03.jpg",
"2001028_04.jpg",
"2001028_05.jpg",
"2001028_06.jpg",
"2001028_07.jpg",
"2001028_08.jpg",
"2001028_09.jpg",
"2001028_10.jpg",
"2001028_11.jpg",
"2001028_12.jpg",
"2001028_13.jpg",
"2001028_14.jpg",
"2001028_15.jpg"
] | Animate a quick scene where Chihiro is crossing the pipe above the boiler room. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001028.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 \"Animate a quick scene where Chihiro is crossing the pipe above the boiler room.\",\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"
}
] |
3004774 | [
"3004774_00.jpg",
"3004774_01.jpg",
"3004774_02.jpg",
"3004774_03.jpg",
"3004774_04.jpg",
"3004774_05.jpg",
"3004774_06.jpg",
"3004774_07.jpg",
"3004774_08.jpg",
"3004774_09.jpg",
"3004774_10.jpg",
"3004774_11.jpg",
"3004774_12.jpg",
"3004774_13.jpg",
"3004774_14.jpg",
"3004774_15.jpg"
] | one side water monster vs other side smoke monster | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004774.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 \"one side water monster vs other side smoke monster\",\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: 1\n"
}
] |
2001618 | [
"2001618_00.jpg",
"2001618_01.jpg",
"2001618_02.jpg",
"2001618_03.jpg",
"2001618_04.jpg",
"2001618_05.jpg",
"2001618_06.jpg",
"2001618_07.jpg",
"2001618_08.jpg",
"2001618_09.jpg",
"2001618_10.jpg",
"2001618_11.jpg",
"2001618_12.jpg",
"2001618_13.jpg",
"2001618_14.jpg",
"2001618_15.jpg"
] | a boat slowing down to stop | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001618.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 boat slowing down to stop\",\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"
}
] |
6003799 | [
"6003799_00.jpg",
"6003799_01.jpg",
"6003799_02.jpg",
"6003799_03.jpg",
"6003799_04.jpg",
"6003799_05.jpg",
"6003799_06.jpg",
"6003799_07.jpg",
"6003799_08.jpg",
"6003799_09.jpg",
"6003799_10.jpg",
"6003799_11.jpg",
"6003799_12.jpg",
"6003799_13.jpg",
"6003799_14.jpg",
"6003799_15.jpg"
] | cinematic video of the consequences of cutting down trees, with text | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003799.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 \"cinematic video of the consequences of cutting down trees, with text\",\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"
}
] |
4000825 | [
"4000825_00.jpg",
"4000825_01.jpg",
"4000825_02.jpg",
"4000825_03.jpg",
"4000825_04.jpg",
"4000825_05.jpg",
"4000825_06.jpg",
"4000825_07.jpg",
"4000825_08.jpg",
"4000825_09.jpg",
"4000825_10.jpg",
"4000825_11.jpg",
"4000825_12.jpg",
"4000825_13.jpg",
"4000825_14.jpg",
"4000825_15.jpg"
] | in the universe is a man who looks like the actor oliver jackson cohen wearing a white suit touching the stars with multiple colors and weird lsd visuals | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000825.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 the universe is a man who looks like the actor oliver jackson cohen wearing a white suit touching the stars with multiple colors and weird lsd visuals\",\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"
}
] |
3000628 | [
"3000628_00.jpg",
"3000628_01.jpg",
"3000628_02.jpg",
"3000628_03.jpg",
"3000628_04.jpg",
"3000628_05.jpg",
"3000628_06.jpg",
"3000628_07.jpg",
"3000628_08.jpg",
"3000628_09.jpg",
"3000628_10.jpg",
"3000628_11.jpg",
"3000628_12.jpg",
"3000628_13.jpg",
"3000628_14.jpg",
"3000628_15.jpg"
] | warehouse worker acting dead when manager walks by | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000628.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 \"warehouse worker acting dead when manager walks by\",\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"
}
] |
3006671 | [
"3006671_00.jpg",
"3006671_01.jpg",
"3006671_02.jpg",
"3006671_03.jpg",
"3006671_04.jpg",
"3006671_05.jpg",
"3006671_06.jpg",
"3006671_07.jpg",
"3006671_08.jpg",
"3006671_09.jpg",
"3006671_10.jpg",
"3006671_11.jpg",
"3006671_12.jpg",
"3006671_13.jpg",
"3006671_14.jpg",
"3006671_15.jpg"
] | a robot is sitting in the class with human beings | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006671.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 robot is sitting in the class with human beings\",\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"
}
] |
0002773 | [
"0002773_00.jpg",
"0002773_01.jpg",
"0002773_02.jpg",
"0002773_03.jpg",
"0002773_04.jpg",
"0002773_05.jpg",
"0002773_06.jpg",
"0002773_07.jpg",
"0002773_08.jpg",
"0002773_09.jpg",
"0002773_10.jpg",
"0002773_11.jpg",
"0002773_12.jpg",
"0002773_13.jpg",
"0002773_14.jpg",
"0002773_15.jpg",
"0002773_16.jpg",
"0002773_17.jpg",
"0002773_18.jpg",
"0002773_19.jpg",
"0002773_20.jpg",
"0002773_21.jpg",
"0002773_22.jpg",
"0002773_23.jpg"
] | beach themed emojis flying in green blurred neon lights | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002773.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 \"beach themed emojis flying in green blurred neon lights\",\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"
}
] |
4001326 | [
"4001326_00.jpg",
"4001326_01.jpg",
"4001326_02.jpg",
"4001326_03.jpg",
"4001326_04.jpg",
"4001326_05.jpg",
"4001326_06.jpg",
"4001326_07.jpg",
"4001326_08.jpg",
"4001326_09.jpg",
"4001326_10.jpg",
"4001326_11.jpg",
"4001326_12.jpg",
"4001326_13.jpg",
"4001326_14.jpg",
"4001326_15.jpg"
] | painting a desert in the middle a lot of ungo plants | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001326.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 \"painting a desert in the middle a lot of ungo plants\",\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"
}
] |
2004651 | [
"2004651_00.jpg",
"2004651_01.jpg",
"2004651_02.jpg",
"2004651_03.jpg",
"2004651_04.jpg",
"2004651_05.jpg",
"2004651_06.jpg",
"2004651_07.jpg",
"2004651_08.jpg",
"2004651_09.jpg",
"2004651_10.jpg",
"2004651_11.jpg",
"2004651_12.jpg",
"2004651_13.jpg",
"2004651_14.jpg",
"2004651_15.jpg"
] | A young village boy standing out from the crowd | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004651.mp4 | 3 | 3 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A young village boy standing out from the crowd\",\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"
}
] |
5000533 | [
"5000533_00.jpg",
"5000533_01.jpg",
"5000533_02.jpg",
"5000533_03.jpg",
"5000533_04.jpg",
"5000533_05.jpg",
"5000533_06.jpg",
"5000533_07.jpg",
"5000533_08.jpg",
"5000533_09.jpg",
"5000533_10.jpg",
"5000533_11.jpg",
"5000533_12.jpg",
"5000533_13.jpg",
"5000533_14.jpg",
"5000533_15.jpg"
] | happy very old ladies with headphones at disco | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000533.mp4 | 3 | 2 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"happy very old ladies with headphones at disco\",\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: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
5000814 | [
"5000814_00.jpg",
"5000814_01.jpg",
"5000814_02.jpg",
"5000814_03.jpg",
"5000814_04.jpg",
"5000814_05.jpg",
"5000814_06.jpg",
"5000814_07.jpg",
"5000814_08.jpg",
"5000814_09.jpg",
"5000814_10.jpg",
"5000814_11.jpg",
"5000814_12.jpg",
"5000814_13.jpg",
"5000814_14.jpg",
"5000814_15.jpg"
] | a cute little girl in park | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000814.mp4 | 3 | 3 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a cute little girl in park\",\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"
}
] |
s000713 | [
"s000713_00.jpg",
"s000713_01.jpg",
"s000713_02.jpg",
"s000713_03.jpg",
"s000713_04.jpg",
"s000713_05.jpg",
"s000713_06.jpg",
"s000713_07.jpg",
"s000713_08.jpg",
"s000713_09.jpg",
"s000713_10.jpg",
"s000713_11.jpg",
"s000713_12.jpg",
"s000713_13.jpg",
"s000713_14.jpg",
"s000713_15.jpg",
"s000713_16.jpg",
"s000713_17.jpg",
"s000713_18.jpg",
"s000713_19.jpg",
"s000713_20.jpg",
"s000713_21.jpg",
"s000713_22.jpg",
"s000713_23.jpg"
] | 10 seconds video of a butterfly flying off a rose inthe air,the rose is covered in drew drops and the butterfly is shedding the drops as it leaves | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000713.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 \"10 seconds video of a butterfly flying off a rose inthe air,the rose is covered in drew drops and the butterfly is shedding the drops as it leaves\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
7001185 | [
"7001185_00.jpg",
"7001185_01.jpg",
"7001185_02.jpg",
"7001185_03.jpg",
"7001185_04.jpg",
"7001185_05.jpg",
"7001185_06.jpg",
"7001185_07.jpg"
] | No prompt | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001185.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 \"No prompt\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
4004660 | [
"4004660_00.jpg",
"4004660_01.jpg",
"4004660_02.jpg",
"4004660_03.jpg",
"4004660_04.jpg",
"4004660_05.jpg",
"4004660_06.jpg",
"4004660_07.jpg",
"4004660_08.jpg",
"4004660_09.jpg",
"4004660_10.jpg",
"4004660_11.jpg",
"4004660_12.jpg",
"4004660_13.jpg",
"4004660_14.jpg",
"4004660_15.jpg"
] | Indonesian woman talking to Timorese woman | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004660.mp4 | 2 | 2 | 2 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Indonesian woman talking to Timorese woman\",\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: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
4000802 | [
"4000802_00.jpg",
"4000802_01.jpg",
"4000802_02.jpg",
"4000802_03.jpg",
"4000802_04.jpg",
"4000802_05.jpg",
"4000802_06.jpg",
"4000802_07.jpg",
"4000802_08.jpg",
"4000802_09.jpg",
"4000802_10.jpg",
"4000802_11.jpg",
"4000802_12.jpg",
"4000802_13.jpg",
"4000802_14.jpg",
"4000802_15.jpg"
] | Beautiful, snowy Tokyo city is bustling. The camera moves through the bustling city street, following several people enjoying the beautiful snowy weather and shopping at nearby stalls. Gorgeous sakura petals are flying through the wind along with snowflakes. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000802.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 \"Beautiful, snowy Tokyo city is bustling. The camera moves through the bustling city street, following several people enjoying the beautiful snowy weather and shopping at nearby stalls. Gorgeous sakura petals are flying through the wind along with snowflakes.\",\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"
}
] |
7003914 | [
"7003914_00.jpg",
"7003914_01.jpg",
"7003914_02.jpg",
"7003914_03.jpg",
"7003914_04.jpg",
"7003914_05.jpg",
"7003914_06.jpg",
"7003914_07.jpg"
] | A teacher teaching programming in college | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003914.mp4 | 3 | 2 | 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 \"A teacher teaching programming in college\",\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: 1\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
1000231 | [
"1000231_00.jpg",
"1000231_01.jpg",
"1000231_02.jpg",
"1000231_03.jpg",
"1000231_04.jpg",
"1000231_05.jpg",
"1000231_06.jpg",
"1000231_07.jpg",
"1000231_08.jpg",
"1000231_09.jpg",
"1000231_10.jpg",
"1000231_11.jpg",
"1000231_12.jpg",
"1000231_13.jpg",
"1000231_14.jpg",
"1000231_15.jpg"
] | a yellow clock | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000231.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 yellow clock\",\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"
}
] |
0000159 | [
"0000159_00.jpg",
"0000159_01.jpg",
"0000159_02.jpg",
"0000159_03.jpg",
"0000159_04.jpg",
"0000159_05.jpg",
"0000159_06.jpg",
"0000159_07.jpg",
"0000159_08.jpg",
"0000159_09.jpg",
"0000159_10.jpg",
"0000159_11.jpg",
"0000159_12.jpg",
"0000159_13.jpg",
"0000159_14.jpg",
"0000159_15.jpg",
"0000159_16.jpg",
"0000159_17.jpg",
"0000159_18.jpg",
"0000159_19.jpg",
"0000159_20.jpg",
"0000159_21.jpg",
"0000159_22.jpg",
"0000159_23.jpg"
] | ukrainian village couple of 19 century hugging near the house, video | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000159.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 \"ukrainian village couple of 19 century hugging near the house, video\",\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: 3\n"
}
] |
8000353 | [
"8000353_00.jpg",
"8000353_01.jpg",
"8000353_02.jpg",
"8000353_03.jpg",
"8000353_04.jpg",
"8000353_05.jpg",
"8000353_06.jpg",
"8000353_07.jpg",
"8000353_08.jpg",
"8000353_09.jpg",
"8000353_10.jpg",
"8000353_11.jpg",
"8000353_12.jpg",
"8000353_13.jpg",
"8000353_14.jpg",
"8000353_15.jpg",
"8000353_16.jpg",
"8000353_17.jpg",
"8000353_18.jpg",
"8000353_19.jpg",
"8000353_20.jpg",
"8000353_21.jpg",
"8000353_22.jpg",
"8000353_23.jpg"
] | 4 girls chatting happily in canteen | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000353.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 \"4 girls chatting happily in canteen\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2001927 | [
"2001927_00.jpg",
"2001927_01.jpg",
"2001927_02.jpg",
"2001927_03.jpg",
"2001927_04.jpg",
"2001927_05.jpg",
"2001927_06.jpg",
"2001927_07.jpg",
"2001927_08.jpg",
"2001927_09.jpg",
"2001927_10.jpg",
"2001927_11.jpg",
"2001927_12.jpg",
"2001927_13.jpg",
"2001927_14.jpg",
"2001927_15.jpg"
] | models walking down the run way wearing never before seen Gucci clothing | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001927.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 \"models walking down the run way wearing never before seen Gucci clothing\",\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"
}
] |
1004739 | [
"1004739_00.jpg",
"1004739_01.jpg",
"1004739_02.jpg",
"1004739_03.jpg",
"1004739_04.jpg",
"1004739_05.jpg",
"1004739_06.jpg",
"1004739_07.jpg",
"1004739_08.jpg",
"1004739_09.jpg",
"1004739_10.jpg",
"1004739_11.jpg",
"1004739_12.jpg",
"1004739_13.jpg",
"1004739_14.jpg",
"1004739_15.jpg"
] | the fairy used to see the world from above the clouds. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004739.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 \"the fairy used to see the world from above the clouds.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3005355 | [
"3005355_00.jpg",
"3005355_01.jpg",
"3005355_02.jpg",
"3005355_03.jpg",
"3005355_04.jpg",
"3005355_05.jpg",
"3005355_06.jpg",
"3005355_07.jpg",
"3005355_08.jpg",
"3005355_09.jpg",
"3005355_10.jpg",
"3005355_11.jpg",
"3005355_12.jpg",
"3005355_13.jpg",
"3005355_14.jpg",
"3005355_15.jpg"
] | zoom in solar eclipse in Hoodoo Desert Alfred Stieglitz grainy black and white 1900s | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005355.mp4 | 1 | 3 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"zoom in solar eclipse in Hoodoo Desert Alfred Stieglitz grainy black and white 1900s\",\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: 2\n"
}
] |
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