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
7002597
[ "7002597_00.jpg", "7002597_01.jpg", "7002597_02.jpg", "7002597_03.jpg", "7002597_04.jpg", "7002597_05.jpg", "7002597_06.jpg", "7002597_07.jpg" ]
A photo of a group of people in a Bible study, discussing Scripture and sharing insights.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002597.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 \"A photo of a group of people in a Bible study, discussing Scripture and sharing insights.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1000336
[ "1000336_00.jpg", "1000336_01.jpg", "1000336_02.jpg", "1000336_03.jpg", "1000336_04.jpg", "1000336_05.jpg", "1000336_06.jpg", "1000336_07.jpg", "1000336_08.jpg", "1000336_09.jpg", "1000336_10.jpg", "1000336_11.jpg", "1000336_12.jpg", "1000336_13.jpg", "1000336_14.jpg", "1000336_15.jpg" ]
An image of a dark, starless night with a moon obscured by heavy clouds. Adam is crying and his tears are falling on the picture of the girl in his hand Eva and Adam standing near each other
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000336.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 image of a dark, starless night with a moon obscured by heavy clouds. Adam is crying and his tears are falling on the picture of the girl in his hand Eva and Adam standing near each other\",\nall the 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" } ]
0000610
[ "0000610_00.jpg", "0000610_01.jpg", "0000610_02.jpg", "0000610_03.jpg", "0000610_04.jpg", "0000610_05.jpg", "0000610_06.jpg", "0000610_07.jpg", "0000610_08.jpg", "0000610_09.jpg", "0000610_10.jpg", "0000610_11.jpg", "0000610_12.jpg", "0000610_13.jpg", "0000610_14.jpg", "0000610_15.jpg", "0000610_16.jpg", "0000610_17.jpg", "0000610_18.jpg", "0000610_19.jpg", "0000610_20.jpg", "0000610_21.jpg", "0000610_22.jpg", "0000610_23.jpg" ]
animation showing an indian politician winning the election
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000610.mp4
3
2
2
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"animation showing an indian politician winning the election\",\nall the 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: 2\n" } ]
8000323
[ "8000323_00.jpg", "8000323_01.jpg", "8000323_02.jpg", "8000323_03.jpg", "8000323_04.jpg", "8000323_05.jpg", "8000323_06.jpg", "8000323_07.jpg", "8000323_08.jpg", "8000323_09.jpg", "8000323_10.jpg", "8000323_11.jpg", "8000323_12.jpg", "8000323_13.jpg", "8000323_14.jpg", "8000323_15.jpg", "8000323_16.jpg", "8000323_17.jpg", "8000323_18.jpg", "8000323_19.jpg", "8000323_20.jpg", "8000323_21.jpg", "8000323_22.jpg", "8000323_23.jpg" ]
scented candle floating, flower petals in the background, sunny day.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000323.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 \"scented candle floating, flower petals in the background, 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: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3004287
[ "3004287_00.jpg", "3004287_01.jpg", "3004287_02.jpg", "3004287_03.jpg", "3004287_04.jpg", "3004287_05.jpg", "3004287_06.jpg", "3004287_07.jpg", "3004287_08.jpg", "3004287_09.jpg", "3004287_10.jpg", "3004287_11.jpg", "3004287_12.jpg", "3004287_13.jpg", "3004287_14.jpg", "3004287_15.jpg" ]
A cartoon Santa hands me a present from a subjective perspective.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004287.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 \"A cartoon Santa hands me a present from a subjective perspective.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6000623
[ "6000623_00.jpg", "6000623_01.jpg", "6000623_02.jpg", "6000623_03.jpg", "6000623_04.jpg", "6000623_05.jpg", "6000623_06.jpg", "6000623_07.jpg", "6000623_08.jpg", "6000623_09.jpg", "6000623_10.jpg", "6000623_11.jpg", "6000623_12.jpg", "6000623_13.jpg", "6000623_14.jpg", "6000623_15.jpg" ]
Animated green Mustang Hourse running through the clouds
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000623.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 \"Animated green Mustang Hourse running through 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: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\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" ]
a video with a lot of women all type nationalities dancing in a beach, having fun, and happy, and laughing
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 \"a video with a lot of women all type nationalities dancing in a beach, having fun, and happy, and laughing\",\nall the 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" } ]
1000194
[ "1000194_00.jpg", "1000194_01.jpg", "1000194_02.jpg", "1000194_03.jpg", "1000194_04.jpg", "1000194_05.jpg", "1000194_06.jpg", "1000194_07.jpg", "1000194_08.jpg", "1000194_09.jpg", "1000194_10.jpg", "1000194_11.jpg", "1000194_12.jpg", "1000194_13.jpg", "1000194_14.jpg", "1000194_15.jpg" ]
a purple clock
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000194.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 purple 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: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7001803
[ "7001803_00.jpg", "7001803_01.jpg", "7001803_02.jpg", "7001803_03.jpg", "7001803_04.jpg", "7001803_05.jpg", "7001803_06.jpg", "7001803_07.jpg" ]
The moral of the story is that while outer beauty is lovely, inner beauty, kindness, and humility are far more valuable and enduring.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001803.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The moral of the story is that while outer beauty is lovely, inner beauty, kindness, and humility are far more valuable and enduring.\",\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" } ]
1001111
[ "1001111_00.jpg", "1001111_01.jpg", "1001111_02.jpg", "1001111_03.jpg", "1001111_04.jpg", "1001111_05.jpg", "1001111_06.jpg", "1001111_07.jpg", "1001111_08.jpg", "1001111_09.jpg", "1001111_10.jpg", "1001111_11.jpg", "1001111_12.jpg", "1001111_13.jpg", "1001111_14.jpg", "1001111_15.jpg" ]
the man on this picture fighting with Superman 1 minute video
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001111.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 man on this picture fighting with Superman 1 minute 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> " }, { "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" } ]
3002165
[ "3002165_00.jpg", "3002165_01.jpg", "3002165_02.jpg", "3002165_03.jpg", "3002165_04.jpg", "3002165_05.jpg", "3002165_06.jpg", "3002165_07.jpg", "3002165_08.jpg", "3002165_09.jpg", "3002165_10.jpg", "3002165_11.jpg", "3002165_12.jpg", "3002165_13.jpg", "3002165_14.jpg", "3002165_15.jpg" ]
a trippy video of this imag
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002165.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 trippy video of this imag\",\nall the 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" } ]
2000854
[ "2000854_00.jpg", "2000854_01.jpg", "2000854_02.jpg", "2000854_03.jpg", "2000854_04.jpg", "2000854_05.jpg", "2000854_06.jpg", "2000854_07.jpg", "2000854_08.jpg", "2000854_09.jpg", "2000854_10.jpg", "2000854_11.jpg", "2000854_12.jpg", "2000854_13.jpg", "2000854_14.jpg", "2000854_15.jpg" ]
Show the Prince, a handsome Ijaw young, his friends, caftan dress, river side, dark skinned, slim body, braided hairstyle, 8k, realistic, fairytale, ar 3:2
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000854.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 \"Show the Prince, a handsome Ijaw young, his friends, caftan dress, river side, dark skinned, slim body, braided hairstyle, 8k, realistic, fairytale, ar 3:2\",\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: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6000222
[ "6000222_00.jpg", "6000222_01.jpg", "6000222_02.jpg", "6000222_03.jpg", "6000222_04.jpg", "6000222_05.jpg", "6000222_06.jpg", "6000222_07.jpg", "6000222_08.jpg", "6000222_09.jpg", "6000222_10.jpg", "6000222_11.jpg", "6000222_12.jpg", "6000222_13.jpg", "6000222_14.jpg", "6000222_15.jpg" ]
A royal wedding ceremony background with all royal guests cheering.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000222.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 royal wedding ceremony background with all royal guests cheering.\",\nall the 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" } ]
4001788
[ "4001788_00.jpg", "4001788_01.jpg", "4001788_02.jpg", "4001788_03.jpg", "4001788_04.jpg", "4001788_05.jpg", "4001788_06.jpg", "4001788_07.jpg", "4001788_08.jpg", "4001788_09.jpg", "4001788_10.jpg", "4001788_11.jpg", "4001788_12.jpg", "4001788_13.jpg", "4001788_14.jpg", "4001788_15.jpg" ]
create a fly Bride in picture
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001788.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 \"create a fly Bride in picture\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
8000321
[ "8000321_00.jpg", "8000321_01.jpg", "8000321_02.jpg", "8000321_03.jpg", "8000321_04.jpg", "8000321_05.jpg", "8000321_06.jpg", "8000321_07.jpg", "8000321_08.jpg", "8000321_09.jpg", "8000321_10.jpg", "8000321_11.jpg", "8000321_12.jpg", "8000321_13.jpg", "8000321_14.jpg", "8000321_15.jpg", "8000321_16.jpg", "8000321_17.jpg", "8000321_18.jpg", "8000321_19.jpg", "8000321_20.jpg", "8000321_21.jpg", "8000321_22.jpg", "8000321_23.jpg" ]
a video Link from Zelda holding a blaster, the blaster shoots a green bolt, his green cape and hair blows in the wind, in the background flames billow
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000321.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 video Link from Zelda holding a blaster, the blaster shoots a green bolt, his green cape and hair blows in the wind, in the background flames billow\",\nall the 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" } ]
4001687
[ "4001687_00.jpg", "4001687_01.jpg", "4001687_02.jpg", "4001687_03.jpg", "4001687_04.jpg", "4001687_05.jpg", "4001687_06.jpg", "4001687_07.jpg", "4001687_08.jpg", "4001687_09.jpg", "4001687_10.jpg", "4001687_11.jpg", "4001687_12.jpg", "4001687_13.jpg", "4001687_14.jpg", "4001687_15.jpg" ]
a person using their hamds to flip a table over
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001687.mp4
3
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 \"a person using their hamds to flip a table over\",\nall the 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: 3\n" } ]
0004126
[ "0004126_00.jpg", "0004126_01.jpg", "0004126_02.jpg", "0004126_03.jpg", "0004126_04.jpg", "0004126_05.jpg", "0004126_06.jpg", "0004126_07.jpg", "0004126_08.jpg", "0004126_09.jpg", "0004126_10.jpg", "0004126_11.jpg", "0004126_12.jpg", "0004126_13.jpg", "0004126_14.jpg", "0004126_15.jpg", "0004126_16.jpg", "0004126_17.jpg", "0004126_18.jpg", "0004126_19.jpg", "0004126_20.jpg", "0004126_21.jpg", "0004126_22.jpg", "0004126_23.jpg" ]
A female patient open the refrigerator and take out the pills.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004126.mp4
3
2
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A female patient open the refrigerator and take out the pills.\",\nall the 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" } ]
2001120
[ "2001120_00.jpg", "2001120_01.jpg", "2001120_02.jpg", "2001120_03.jpg", "2001120_04.jpg", "2001120_05.jpg", "2001120_06.jpg", "2001120_07.jpg", "2001120_08.jpg", "2001120_09.jpg", "2001120_10.jpg", "2001120_11.jpg", "2001120_12.jpg", "2001120_13.jpg", "2001120_14.jpg", "2001120_15.jpg" ]
a rol playing Game table with a wizard a paladin a bard
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001120.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 rol playing Game table with a wizard a paladin a bard\",\nall the 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" } ]
7000580
[ "7000580_00.jpg", "7000580_01.jpg", "7000580_02.jpg", "7000580_03.jpg", "7000580_04.jpg", "7000580_05.jpg", "7000580_06.jpg", "7000580_07.jpg" ]
a logo of a super hero, appearing in a dark cinematic light
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000580.mp4
2
2
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a logo of a super hero, appearing in a dark cinematic 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: 3\n" } ]
1000036
[ "1000036_00.jpg", "1000036_01.jpg", "1000036_02.jpg", "1000036_03.jpg", "1000036_04.jpg", "1000036_05.jpg", "1000036_06.jpg", "1000036_07.jpg", "1000036_08.jpg", "1000036_09.jpg", "1000036_10.jpg", "1000036_11.jpg", "1000036_12.jpg", "1000036_13.jpg", "1000036_14.jpg", "1000036_15.jpg" ]
Zooming in on the homestead, we see the girl and her grandad waking up. They exchange smiles and begin their day.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000036.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 \"Zooming in on the homestead, we see the girl and her grandad waking up. They exchange smiles and begin their 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> " }, { "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" } ]
6001435
[ "6001435_00.jpg", "6001435_01.jpg", "6001435_02.jpg", "6001435_03.jpg", "6001435_04.jpg", "6001435_05.jpg", "6001435_06.jpg", "6001435_07.jpg", "6001435_08.jpg", "6001435_09.jpg", "6001435_10.jpg", "6001435_11.jpg", "6001435_12.jpg", "6001435_13.jpg", "6001435_14.jpg", "6001435_15.jpg" ]
A drone view of celebration with Christmas tree and fireworks, starry sky - background
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001435.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 drone view of celebration with Christmas tree and fireworks, starry sky - 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" } ]
s000202
[ "s000202_00.jpg", "s000202_01.jpg", "s000202_02.jpg", "s000202_03.jpg", "s000202_04.jpg", "s000202_05.jpg", "s000202_06.jpg", "s000202_07.jpg", "s000202_08.jpg", "s000202_09.jpg", "s000202_10.jpg", "s000202_11.jpg", "s000202_12.jpg", "s000202_13.jpg", "s000202_14.jpg", "s000202_15.jpg", "s000202_16.jpg", "s000202_17.jpg", "s000202_18.jpg", "s000202_19.jpg" ]
Frozen in terror, the friends watched as the apparition slowly descended the stairs. The air grew colder, and the whispering intensified horror story
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000202.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 \"Frozen in terror, the friends watched as the apparition slowly descended the stairs. The air grew colder, and the whispering intensified horror story\",\nall the 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" } ]
6000234
[ "6000234_00.jpg", "6000234_01.jpg", "6000234_02.jpg", "6000234_03.jpg", "6000234_04.jpg", "6000234_05.jpg", "6000234_06.jpg", "6000234_07.jpg", "6000234_08.jpg", "6000234_09.jpg", "6000234_10.jpg", "6000234_11.jpg", "6000234_12.jpg", "6000234_13.jpg", "6000234_14.jpg", "6000234_15.jpg" ]
drops of circular gold liquid lights as large as jupiter in reflection nebula
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000234.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 \"drops of circular gold liquid lights as large as jupiter in reflection nebula\",\nall the 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" } ]
6003490
[ "6003490_00.jpg", "6003490_01.jpg", "6003490_02.jpg", "6003490_03.jpg", "6003490_04.jpg", "6003490_05.jpg", "6003490_06.jpg", "6003490_07.jpg", "6003490_08.jpg", "6003490_09.jpg", "6003490_10.jpg", "6003490_11.jpg", "6003490_12.jpg", "6003490_13.jpg", "6003490_14.jpg", "6003490_15.jpg" ]
a massive explosion destroys a space station photorealistic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003490.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 massive explosion destroys a space station photorealistic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0004999
[ "0004999_00.jpg", "0004999_01.jpg", "0004999_02.jpg", "0004999_03.jpg", "0004999_04.jpg", "0004999_05.jpg", "0004999_06.jpg", "0004999_07.jpg", "0004999_08.jpg", "0004999_09.jpg", "0004999_10.jpg", "0004999_11.jpg", "0004999_12.jpg", "0004999_13.jpg", "0004999_14.jpg", "0004999_15.jpg", "0004999_16.jpg", "0004999_17.jpg", "0004999_18.jpg", "0004999_19.jpg", "0004999_20.jpg", "0004999_21.jpg", "0004999_22.jpg", "0004999_23.jpg" ]
Dali painting comes to life and drips
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004999.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 \"Dali painting comes to life and drips\",\nall the 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" } ]
4003895
[ "4003895_00.jpg", "4003895_01.jpg", "4003895_02.jpg", "4003895_03.jpg", "4003895_04.jpg", "4003895_05.jpg", "4003895_06.jpg", "4003895_07.jpg", "4003895_08.jpg", "4003895_09.jpg", "4003895_10.jpg", "4003895_11.jpg", "4003895_12.jpg", "4003895_13.jpg", "4003895_14.jpg", "4003895_15.jpg" ]
a bicycle and an airplane
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003895.mp4
3
2
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a bicycle and an airplane\",\nall the 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" } ]
0003503
[ "0003503_00.jpg", "0003503_01.jpg", "0003503_02.jpg", "0003503_03.jpg", "0003503_04.jpg", "0003503_05.jpg", "0003503_06.jpg", "0003503_07.jpg", "0003503_08.jpg", "0003503_09.jpg", "0003503_10.jpg", "0003503_11.jpg", "0003503_12.jpg", "0003503_13.jpg", "0003503_14.jpg", "0003503_15.jpg", "0003503_16.jpg", "0003503_17.jpg", "0003503_18.jpg", "0003503_19.jpg", "0003503_20.jpg", "0003503_21.jpg", "0003503_22.jpg", "0003503_23.jpg" ]
colorful fluid masses of oil paints and colorful smoke morphing into beautiful woman spleeping face,  by Henry Asencio, by Martin Ansin, golden ratio, colorful, complementary colors, psychedelic art, octane render
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003503.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 \"colorful fluid masses of oil paints and colorful smoke morphing into beautiful woman spleeping face,  by Henry Asencio, by Martin Ansin, golden ratio, colorful, complementary colors, psychedelic art, octane render\",\nall the 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" } ]
6000726
[ "6000726_00.jpg", "6000726_01.jpg", "6000726_02.jpg", "6000726_03.jpg", "6000726_04.jpg", "6000726_05.jpg", "6000726_06.jpg", "6000726_07.jpg", "6000726_08.jpg", "6000726_09.jpg", "6000726_10.jpg", "6000726_11.jpg", "6000726_12.jpg", "6000726_13.jpg", "6000726_14.jpg", "6000726_15.jpg" ]
another world in meditation, open your mind
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000726.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 \"another world in meditation, open your mind\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0003558
[ "0003558_00.jpg", "0003558_01.jpg", "0003558_02.jpg", "0003558_03.jpg", "0003558_04.jpg", "0003558_05.jpg", "0003558_06.jpg", "0003558_07.jpg", "0003558_08.jpg", "0003558_09.jpg", "0003558_10.jpg", "0003558_11.jpg", "0003558_12.jpg", "0003558_13.jpg", "0003558_14.jpg", "0003558_15.jpg", "0003558_16.jpg", "0003558_17.jpg", "0003558_18.jpg", "0003558_19.jpg", "0003558_20.jpg", "0003558_21.jpg", "0003558_22.jpg", "0003558_23.jpg" ]
Cinematic trailer for a group of adventurous puppies exploring ruins in the sky
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003558.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Cinematic trailer for a group of adventurous puppies exploring ruins in the sky\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
4001611
[ "4001611_00.jpg", "4001611_01.jpg", "4001611_02.jpg", "4001611_03.jpg", "4001611_04.jpg", "4001611_05.jpg", "4001611_06.jpg", "4001611_07.jpg", "4001611_08.jpg", "4001611_09.jpg", "4001611_10.jpg", "4001611_11.jpg", "4001611_12.jpg", "4001611_13.jpg", "4001611_14.jpg", "4001611_15.jpg" ]
young beautiful wealthy woman with short blonde hair, standing with a glass of champagne in a huge dressing room with high ceilings of a townhouse, Art Nouveau interior, interior architect Alvar Aalto, bright cheerful photo
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001611.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 \"young beautiful wealthy woman with short blonde hair, standing with a glass of champagne in a huge dressing room with high ceilings of a townhouse, Art Nouveau interior, interior architect Alvar Aalto, bright cheerful photo\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
2004128
[ "2004128_00.jpg", "2004128_01.jpg", "2004128_02.jpg", "2004128_03.jpg", "2004128_04.jpg", "2004128_05.jpg", "2004128_06.jpg", "2004128_07.jpg", "2004128_08.jpg", "2004128_09.jpg", "2004128_10.jpg", "2004128_11.jpg", "2004128_12.jpg", "2004128_13.jpg", "2004128_14.jpg", "2004128_15.jpg" ]
helicopter flying over nottingham in pixalated game art style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004128.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 \"helicopter flying over nottingham in pixalated game art style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3000419
[ "3000419_00.jpg", "3000419_01.jpg", "3000419_02.jpg", "3000419_03.jpg", "3000419_04.jpg", "3000419_05.jpg", "3000419_06.jpg", "3000419_07.jpg", "3000419_08.jpg", "3000419_09.jpg", "3000419_10.jpg", "3000419_11.jpg", "3000419_12.jpg", "3000419_13.jpg", "3000419_14.jpg", "3000419_15.jpg" ]
Iron Man lands in old Marvel style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000419.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 \"Iron Man lands in old Marvel style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6002223
[ "6002223_00.jpg", "6002223_01.jpg", "6002223_02.jpg", "6002223_03.jpg", "6002223_04.jpg", "6002223_05.jpg", "6002223_06.jpg", "6002223_07.jpg", "6002223_08.jpg", "6002223_09.jpg", "6002223_10.jpg", "6002223_11.jpg", "6002223_12.jpg", "6002223_13.jpg", "6002223_14.jpg", "6002223_15.jpg" ]
a cute light skinned female, dreadlocks, white bikini, fit, smiling, hyper realistic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002223.mp4
1
3
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a cute light skinned female, dreadlocks,\nwhite bikini, fit, smiling, hyper realistic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1002659
[ "1002659_00.jpg", "1002659_01.jpg", "1002659_02.jpg", "1002659_03.jpg", "1002659_04.jpg", "1002659_05.jpg", "1002659_06.jpg", "1002659_07.jpg", "1002659_08.jpg", "1002659_09.jpg", "1002659_10.jpg", "1002659_11.jpg", "1002659_12.jpg", "1002659_13.jpg", "1002659_14.jpg", "1002659_15.jpg" ]
a horse with a small rodent riding it. realistic and zooming out from a haze.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002659.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 horse with a small rodent riding it. realistic and zooming out from a haze.\",\nall the 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" } ]
8001376
[ "8001376_00.jpg", "8001376_01.jpg", "8001376_02.jpg", "8001376_03.jpg", "8001376_04.jpg", "8001376_05.jpg", "8001376_06.jpg", "8001376_07.jpg", "8001376_08.jpg", "8001376_09.jpg", "8001376_10.jpg", "8001376_11.jpg", "8001376_12.jpg", "8001376_13.jpg", "8001376_14.jpg", "8001376_15.jpg", "8001376_16.jpg", "8001376_17.jpg", "8001376_18.jpg", "8001376_19.jpg", "8001376_20.jpg", "8001376_21.jpg", "8001376_22.jpg", "8001376_23.jpg" ]
pensive people looking at the starry sky
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001376.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 \"pensive people looking at the starry sky\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
4003190
[ "4003190_00.jpg", "4003190_01.jpg", "4003190_02.jpg", "4003190_03.jpg", "4003190_04.jpg", "4003190_05.jpg", "4003190_06.jpg", "4003190_07.jpg", "4003190_08.jpg", "4003190_09.jpg", "4003190_10.jpg", "4003190_11.jpg", "4003190_12.jpg", "4003190_13.jpg", "4003190_14.jpg", "4003190_15.jpg" ]
A city like a beacon of sustainability
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003190.mp4
2
3
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A city like a beacon of sustainability\",\nall the 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" } ]
2006015
[ "2006015_00.jpg", "2006015_01.jpg", "2006015_02.jpg", "2006015_03.jpg", "2006015_04.jpg", "2006015_05.jpg", "2006015_06.jpg", "2006015_07.jpg", "2006015_08.jpg", "2006015_09.jpg", "2006015_10.jpg", "2006015_11.jpg", "2006015_12.jpg", "2006015_13.jpg", "2006015_14.jpg", "2006015_15.jpg" ]
Synth on mid of the lab
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006015.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 \"Synth on mid of the lab\",\nall the 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" } ]
0004764
[ "0004764_00.jpg", "0004764_01.jpg", "0004764_02.jpg", "0004764_03.jpg", "0004764_04.jpg", "0004764_05.jpg", "0004764_06.jpg", "0004764_07.jpg", "0004764_08.jpg", "0004764_09.jpg", "0004764_10.jpg", "0004764_11.jpg", "0004764_12.jpg", "0004764_13.jpg", "0004764_14.jpg", "0004764_15.jpg", "0004764_16.jpg", "0004764_17.jpg", "0004764_18.jpg", "0004764_19.jpg", "0004764_20.jpg", "0004764_21.jpg", "0004764_22.jpg", "0004764_23.jpg" ]
a Video with some Food recept 70 seconds
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004764.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 Video with some Food recept 70 seconds\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
7001438
[ "7001438_00.jpg", "7001438_01.jpg", "7001438_02.jpg", "7001438_03.jpg", "7001438_04.jpg", "7001438_05.jpg", "7001438_06.jpg", "7001438_07.jpg" ]
christmas lights turning on in the dark
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001438.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 \"christmas lights turning on in the dark\",\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" } ]
3002285
[ "3002285_00.jpg", "3002285_01.jpg", "3002285_02.jpg", "3002285_03.jpg", "3002285_04.jpg", "3002285_05.jpg", "3002285_06.jpg", "3002285_07.jpg", "3002285_08.jpg", "3002285_09.jpg", "3002285_10.jpg", "3002285_11.jpg", "3002285_12.jpg", "3002285_13.jpg", "3002285_14.jpg", "3002285_15.jpg" ]
a blue alien tarsier howling in a blue jungle, on a branch
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002285.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 blue alien tarsier howling in a blue jungle, on a branch\",\nall the 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" } ]
2002311
[ "2002311_00.jpg", "2002311_01.jpg", "2002311_02.jpg", "2002311_03.jpg", "2002311_04.jpg", "2002311_05.jpg", "2002311_06.jpg", "2002311_07.jpg", "2002311_08.jpg", "2002311_09.jpg", "2002311_10.jpg", "2002311_11.jpg", "2002311_12.jpg", "2002311_13.jpg", "2002311_14.jpg", "2002311_15.jpg" ]
a young indian woman giving a speech about the importance of education for girls
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002311.mp4
2
3
1
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a young indian woman giving a speech about the importance of education for girls\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
2006610
[ "2006610_00.jpg", "2006610_01.jpg", "2006610_02.jpg", "2006610_03.jpg", "2006610_04.jpg", "2006610_05.jpg", "2006610_06.jpg", "2006610_07.jpg", "2006610_08.jpg", "2006610_09.jpg", "2006610_10.jpg", "2006610_11.jpg", "2006610_12.jpg", "2006610_13.jpg", "2006610_14.jpg", "2006610_15.jpg" ]
burger food Message: smart (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006610.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 \"burger food Message: smart (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
5000742
[ "5000742_00.jpg", "5000742_01.jpg", "5000742_02.jpg", "5000742_03.jpg", "5000742_04.jpg", "5000742_05.jpg", "5000742_06.jpg", "5000742_07.jpg", "5000742_08.jpg", "5000742_09.jpg", "5000742_10.jpg", "5000742_11.jpg", "5000742_12.jpg", "5000742_13.jpg", "5000742_14.jpg", "5000742_15.jpg" ]
A bright and spacious art museum
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000742.mp4
3
2
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A bright and spacious art museum\",\nall the 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" } ]
6001569
[ "6001569_00.jpg", "6001569_01.jpg", "6001569_02.jpg", "6001569_03.jpg", "6001569_04.jpg", "6001569_05.jpg", "6001569_06.jpg", "6001569_07.jpg", "6001569_08.jpg", "6001569_09.jpg", "6001569_10.jpg", "6001569_11.jpg", "6001569_12.jpg", "6001569_13.jpg", "6001569_14.jpg", "6001569_15.jpg" ]
captain Nemo is smoking a pipe at sunset overwatching the harbour
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001569.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 \"captain Nemo is smoking a pipe at sunset overwatching the harbour\",\nall the 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" } ]
1006446
[ "1006446_00.jpg", "1006446_01.jpg", "1006446_02.jpg", "1006446_03.jpg", "1006446_04.jpg", "1006446_05.jpg", "1006446_06.jpg", "1006446_07.jpg", "1006446_08.jpg", "1006446_09.jpg", "1006446_10.jpg", "1006446_11.jpg", "1006446_12.jpg", "1006446_13.jpg", "1006446_14.jpg", "1006446_15.jpg" ]
Salaried man dancing in downtown Japan at night
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006446.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 \"Salaried man dancing in downtown Japan at night\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7000710
[ "7000710_00.jpg", "7000710_01.jpg", "7000710_02.jpg", "7000710_03.jpg", "7000710_04.jpg", "7000710_05.jpg", "7000710_06.jpg", "7000710_07.jpg" ]
he image plays with shadows and light masterfully, creating a cinematic ambiance that evokes a sense of mystery and fascination. Every detail, from wrinkles in the skin to intricate clothing patterns, is displayed with astonishing precision, reinforcing the authenticity of the image.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000710.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 \"he image plays with shadows and light masterfully, creating a cinematic ambiance that evokes a sense of mystery and fascination. Every detail, from wrinkles in the skin to intricate clothing patterns, is displayed with astonishing precision, reinforcing the authenticity of the image.\",\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" } ]
3000233
[ "3000233_00.jpg", "3000233_01.jpg", "3000233_02.jpg", "3000233_03.jpg", "3000233_04.jpg", "3000233_05.jpg", "3000233_06.jpg", "3000233_07.jpg", "3000233_08.jpg", "3000233_09.jpg", "3000233_10.jpg", "3000233_11.jpg", "3000233_12.jpg", "3000233_13.jpg", "3000233_14.jpg", "3000233_15.jpg" ]
squirrel sitting high on a tree , the forest at night, fog everywhere, view from action camera
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000233.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 \"squirrel sitting high on a tree , the forest at night, fog everywhere, view from action camera\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
7002679
[ "7002679_00.jpg", "7002679_01.jpg", "7002679_02.jpg", "7002679_03.jpg", "7002679_04.jpg", "7002679_05.jpg", "7002679_06.jpg", "7002679_07.jpg" ]
a man in a suit reveals stacks of money
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002679.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 man in a suit reveals stacks of money\",\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" } ]
9000902
[ "9000902_00.jpg", "9000902_01.jpg", "9000902_02.jpg", "9000902_03.jpg", "9000902_04.jpg", "9000902_05.jpg", "9000902_06.jpg", "9000902_07.jpg", "9000902_08.jpg", "9000902_09.jpg", "9000902_10.jpg", "9000902_11.jpg", "9000902_12.jpg", "9000902_13.jpg", "9000902_14.jpg", "9000902_15.jpg", "9000902_16.jpg", "9000902_17.jpg", "9000902_18.jpg", "9000902_19.jpg", "9000902_20.jpg", "9000902_21.jpg", "9000902_22.jpg", "9000902_23.jpg" ]
colossal kushan demon emerging from deep cave subterranean stanley kubrick david lynchian eerie creepy black and white film alejandro jodorowsky
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000902.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 \"colossal kushan demon emerging from deep cave subterranean stanley kubrick david lynchian eerie creepy black and white film alejandro jodorowsky\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
4000815
[ "4000815_00.jpg", "4000815_01.jpg", "4000815_02.jpg", "4000815_03.jpg", "4000815_04.jpg", "4000815_05.jpg", "4000815_06.jpg", "4000815_07.jpg", "4000815_08.jpg", "4000815_09.jpg", "4000815_10.jpg", "4000815_11.jpg", "4000815_12.jpg", "4000815_13.jpg", "4000815_14.jpg", "4000815_15.jpg" ]
But danger lion lurked, an imminent threat,
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000815.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 \"But danger lion lurked, an imminent threat,\",\nall the 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" } ]
7004947
[ "7004947_00.jpg", "7004947_01.jpg", "7004947_02.jpg", "7004947_03.jpg", "7004947_04.jpg", "7004947_05.jpg", "7004947_06.jpg", "7004947_07.jpg" ]
birthday party for an 8 year old girl with brown hair
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004947.mp4
3
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"birthday party for an 8 year old girl with brown hair\",\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: 2\n" } ]
2001245
[ "2001245_00.jpg", "2001245_01.jpg", "2001245_02.jpg", "2001245_03.jpg", "2001245_04.jpg", "2001245_05.jpg", "2001245_06.jpg", "2001245_07.jpg", "2001245_08.jpg", "2001245_09.jpg", "2001245_10.jpg", "2001245_11.jpg", "2001245_12.jpg", "2001245_13.jpg", "2001245_14.jpg", "2001245_15.jpg" ]
Emperor of France, Year of 1800, Paint, Battlefield, Napoleon
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001245.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 \"Emperor of France, Year of 1800, Paint, Battlefield, Napoleon\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
8003234
[ "8003234_00.jpg", "8003234_01.jpg", "8003234_02.jpg", "8003234_03.jpg", "8003234_04.jpg", "8003234_05.jpg", "8003234_06.jpg", "8003234_07.jpg", "8003234_08.jpg", "8003234_09.jpg", "8003234_10.jpg", "8003234_11.jpg", "8003234_12.jpg", "8003234_13.jpg", "8003234_14.jpg", "8003234_15.jpg", "8003234_16.jpg", "8003234_17.jpg", "8003234_18.jpg", "8003234_19.jpg", "8003234_20.jpg", "8003234_21.jpg", "8003234_22.jpg", "8003234_23.jpg" ]
The sound of pulling slippers, hitting walls with plastic bottles, humming, and waves combined to make music, on a terrace next to the sea, at 4 a.m
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003234.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 \"The sound of pulling slippers, hitting walls with plastic bottles, humming, and waves combined to make music, on a terrace next to the sea, at 4 a.m\",\nall the 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: 2\n" } ]
1002364
[ "1002364_00.jpg", "1002364_01.jpg", "1002364_02.jpg", "1002364_03.jpg", "1002364_04.jpg", "1002364_05.jpg", "1002364_06.jpg", "1002364_07.jpg", "1002364_08.jpg", "1002364_09.jpg", "1002364_10.jpg", "1002364_11.jpg", "1002364_12.jpg", "1002364_13.jpg", "1002364_14.jpg", "1002364_15.jpg" ]
a boy praying in front of Ayodya temple, zoom in view, ar: 9:16
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002364.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 boy praying in front of Ayodya temple, zoom in view, ar: 9:16\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1002993
[ "1002993_00.jpg", "1002993_01.jpg", "1002993_02.jpg", "1002993_03.jpg", "1002993_04.jpg", "1002993_05.jpg", "1002993_06.jpg", "1002993_07.jpg", "1002993_08.jpg", "1002993_09.jpg", "1002993_10.jpg", "1002993_11.jpg", "1002993_12.jpg", "1002993_13.jpg", "1002993_14.jpg", "1002993_15.jpg" ]
a single old house far from a village
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002993.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 single old house far from a village\",\nall the 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" } ]
4003675
[ "4003675_00.jpg", "4003675_01.jpg", "4003675_02.jpg", "4003675_03.jpg", "4003675_04.jpg", "4003675_05.jpg", "4003675_06.jpg", "4003675_07.jpg", "4003675_08.jpg", "4003675_09.jpg", "4003675_10.jpg", "4003675_11.jpg", "4003675_12.jpg", "4003675_13.jpg", "4003675_14.jpg", "4003675_15.jpg" ]
lake with lily pads with splashes around lily pads and water swaying in cartoon style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003675.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 \"lake with lily pads with splashes around lily pads and water swaying in cartoon style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
7003383
[ "7003383_00.jpg", "7003383_01.jpg", "7003383_02.jpg", "7003383_03.jpg", "7003383_04.jpg", "7003383_05.jpg", "7003383_06.jpg", "7003383_07.jpg" ]
create an inspiring image where Promise is reflected as Trust in the sky, realistic image 4K
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003383.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 \"create an inspiring image where Promise is reflected as Trust in the sky, realistic image 4K\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1003646
[ "1003646_00.jpg", "1003646_01.jpg", "1003646_02.jpg", "1003646_03.jpg", "1003646_04.jpg", "1003646_05.jpg", "1003646_06.jpg", "1003646_07.jpg", "1003646_08.jpg", "1003646_09.jpg", "1003646_10.jpg", "1003646_11.jpg", "1003646_12.jpg", "1003646_13.jpg", "1003646_14.jpg", "1003646_15.jpg" ]
a view of the great wall of china, a detailed matte painting by Ma Quan, shutterstock contest winner, cloisonnism, creative commons attribution, matte painting, playstation 5 screenshot
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003646.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 view of the great wall of china, a detailed matte painting by Ma Quan, shutterstock contest winner, cloisonnism, creative commons attribution, matte painting, playstation 5 screenshot\",\nall the 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" } ]
8003384
[ "8003384_00.jpg", "8003384_01.jpg", "8003384_02.jpg", "8003384_03.jpg", "8003384_04.jpg", "8003384_05.jpg", "8003384_06.jpg", "8003384_07.jpg", "8003384_08.jpg", "8003384_09.jpg", "8003384_10.jpg", "8003384_11.jpg", "8003384_12.jpg", "8003384_13.jpg", "8003384_14.jpg", "8003384_15.jpg", "8003384_16.jpg", "8003384_17.jpg", "8003384_18.jpg", "8003384_19.jpg", "8003384_20.jpg", "8003384_21.jpg", "8003384_22.jpg", "8003384_23.jpg" ]
Kenyan village. Woman. Wants to start business. Bank far. Calls but sad cos rejected. Visits bank but again rejected. Village people all use mobile. She starts business with mobile payments and digital banking.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003384.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 \"Kenyan village. Woman. Wants to start business. Bank far. Calls but sad cos rejected. Visits bank but again rejected. Village people all use mobile. She starts business with mobile payments and digital banking.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6000639
[ "6000639_00.jpg", "6000639_01.jpg", "6000639_02.jpg", "6000639_03.jpg", "6000639_04.jpg", "6000639_05.jpg", "6000639_06.jpg", "6000639_07.jpg", "6000639_08.jpg", "6000639_09.jpg", "6000639_10.jpg", "6000639_11.jpg", "6000639_12.jpg", "6000639_13.jpg", "6000639_14.jpg", "6000639_15.jpg" ]
Blond beautiful lady wearing a bikini running on the beach
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000639.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 \"Blond beautiful lady wearing a bikini running on the beach\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2001087
[ "2001087_00.jpg", "2001087_01.jpg", "2001087_02.jpg", "2001087_03.jpg", "2001087_04.jpg", "2001087_05.jpg", "2001087_06.jpg", "2001087_07.jpg", "2001087_08.jpg", "2001087_09.jpg", "2001087_10.jpg", "2001087_11.jpg", "2001087_12.jpg", "2001087_13.jpg", "2001087_14.jpg", "2001087_15.jpg" ]
flag divided into three parts of color, yellow, blue, red
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001087.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 \"flag divided into three parts of color, yellow, blue, red\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
0001955
[ "0001955_00.jpg", "0001955_01.jpg", "0001955_02.jpg", "0001955_03.jpg", "0001955_04.jpg", "0001955_05.jpg", "0001955_06.jpg", "0001955_07.jpg", "0001955_08.jpg", "0001955_09.jpg", "0001955_10.jpg", "0001955_11.jpg", "0001955_12.jpg", "0001955_13.jpg", "0001955_14.jpg", "0001955_15.jpg", "0001955_16.jpg", "0001955_17.jpg", "0001955_18.jpg", "0001955_19.jpg", "0001955_20.jpg", "0001955_21.jpg", "0001955_22.jpg", "0001955_23.jpg" ]
In a sunny little town, there lived a boy named Xiao Chen. Every day, Xiao Chen faced small challenges, determined to solve them on his own.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001955.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 \"In a sunny little town, there lived a boy named Xiao Chen. Every day, Xiao Chen faced small challenges, determined to solve them on his own.\",\nall the 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: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
4001187
[ "4001187_00.jpg", "4001187_01.jpg", "4001187_02.jpg", "4001187_03.jpg", "4001187_04.jpg", "4001187_05.jpg", "4001187_06.jpg", "4001187_07.jpg", "4001187_08.jpg", "4001187_09.jpg", "4001187_10.jpg", "4001187_11.jpg", "4001187_12.jpg", "4001187_13.jpg", "4001187_14.jpg", "4001187_15.jpg" ]
SILACAR car from china in vladivostok best price
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001187.mp4
3
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 \"SILACAR car from china in vladivostok best price\",\nall the 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: 2\n" } ]
3003386
[ "3003386_00.jpg", "3003386_01.jpg", "3003386_02.jpg", "3003386_03.jpg", "3003386_04.jpg", "3003386_05.jpg", "3003386_06.jpg", "3003386_07.jpg", "3003386_08.jpg", "3003386_09.jpg", "3003386_10.jpg", "3003386_11.jpg", "3003386_12.jpg", "3003386_13.jpg", "3003386_14.jpg", "3003386_15.jpg" ]
scary granny creeps through the garden of paradise
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3003386.mp4
2
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 \"scary granny creeps through the garden of paradise\",\nall the 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: 1\n" } ]
s000417
[ "s000417_00.jpg", "s000417_01.jpg", "s000417_02.jpg", "s000417_03.jpg", "s000417_04.jpg", "s000417_05.jpg", "s000417_06.jpg", "s000417_07.jpg", "s000417_08.jpg", "s000417_09.jpg", "s000417_10.jpg", "s000417_11.jpg", "s000417_12.jpg", "s000417_13.jpg", "s000417_14.jpg", "s000417_15.jpg", "s000417_16.jpg", "s000417_17.jpg", "s000417_18.jpg", "s000417_19.jpg", "s000417_20.jpg", "s000417_21.jpg", "s000417_22.jpg", "s000417_23.jpg" ]
prompt:black and white photo of a person in a hoodedie, shadowbringers cinematic, thick glowing chains, okay one fear, soul of human in transparent form priestess, very accurate coherent image, fairy wings, man, is tall, by Francis Helps
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000417.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 \"prompt:black and white photo of a person in a hoodedie, shadowbringers cinematic, thick glowing chains, okay one fear, soul of human in transparent form priestess, very accurate coherent image, fairy wings, man, is tall, by Francis Helps\",\nall the 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" } ]
1002693
[ "1002693_00.jpg", "1002693_01.jpg", "1002693_02.jpg", "1002693_03.jpg", "1002693_04.jpg", "1002693_05.jpg", "1002693_06.jpg", "1002693_07.jpg", "1002693_08.jpg", "1002693_09.jpg", "1002693_10.jpg", "1002693_11.jpg", "1002693_12.jpg", "1002693_13.jpg", "1002693_14.jpg", "1002693_15.jpg" ]
angel wings with rotating eyes movie 1979
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002693.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 \"angel wings with rotating eyes movie 1979\",\nall the 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" } ]
3001164
[ "3001164_00.jpg", "3001164_01.jpg", "3001164_02.jpg", "3001164_03.jpg", "3001164_04.jpg", "3001164_05.jpg", "3001164_06.jpg", "3001164_07.jpg", "3001164_08.jpg", "3001164_09.jpg", "3001164_10.jpg", "3001164_11.jpg", "3001164_12.jpg", "3001164_13.jpg", "3001164_14.jpg", "3001164_15.jpg" ]
high beauty cosmetics Message: M.A.C. (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001164.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 \"high beauty cosmetics Message: M.A.C. (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3000673
[ "3000673_00.jpg", "3000673_01.jpg", "3000673_02.jpg", "3000673_03.jpg", "3000673_04.jpg", "3000673_05.jpg", "3000673_06.jpg", "3000673_07.jpg", "3000673_08.jpg", "3000673_09.jpg", "3000673_10.jpg", "3000673_11.jpg", "3000673_12.jpg", "3000673_13.jpg", "3000673_14.jpg", "3000673_15.jpg" ]
a group of people dancing in the future
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000673.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 group of people dancing in the 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: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
2006017
[ "2006017_00.jpg", "2006017_01.jpg", "2006017_02.jpg", "2006017_03.jpg", "2006017_04.jpg", "2006017_05.jpg", "2006017_06.jpg", "2006017_07.jpg", "2006017_08.jpg", "2006017_09.jpg", "2006017_10.jpg", "2006017_11.jpg", "2006017_12.jpg", "2006017_13.jpg", "2006017_14.jpg", "2006017_15.jpg" ]
a group of young peole happy selling snacks cartoon
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006017.mp4
3
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a group of young peole happy selling snacks cartoon\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3002051
[ "3002051_00.jpg", "3002051_01.jpg", "3002051_02.jpg", "3002051_03.jpg", "3002051_04.jpg", "3002051_05.jpg", "3002051_06.jpg", "3002051_07.jpg", "3002051_08.jpg", "3002051_09.jpg", "3002051_10.jpg", "3002051_11.jpg", "3002051_12.jpg", "3002051_13.jpg", "3002051_14.jpg", "3002051_15.jpg" ]
Superman talking to Batman on top of a building
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002051.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 \"Superman talking to Batman on top of a building\",\nall the 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" } ]
7001198
[ "7001198_00.jpg", "7001198_01.jpg", "7001198_02.jpg", "7001198_03.jpg", "7001198_04.jpg", "7001198_05.jpg", "7001198_06.jpg", "7001198_07.jpg" ]
kids pulling big colourful spiders ,3D
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001198.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 \"kids pulling big colourful spiders ,3D\",\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: 1\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
1001924
[ "1001924_00.jpg", "1001924_01.jpg", "1001924_02.jpg", "1001924_03.jpg", "1001924_04.jpg", "1001924_05.jpg", "1001924_06.jpg", "1001924_07.jpg", "1001924_08.jpg", "1001924_09.jpg", "1001924_10.jpg", "1001924_11.jpg", "1001924_12.jpg", "1001924_13.jpg", "1001924_14.jpg", "1001924_15.jpg" ]
process of preparing a burger, in several stages
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001924.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 \"process of preparing a burger, in several stages\",\nall the 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" } ]
8002746
[ "8002746_00.jpg", "8002746_01.jpg", "8002746_02.jpg", "8002746_03.jpg", "8002746_04.jpg", "8002746_05.jpg", "8002746_06.jpg", "8002746_07.jpg", "8002746_08.jpg", "8002746_09.jpg", "8002746_10.jpg", "8002746_11.jpg", "8002746_12.jpg", "8002746_13.jpg", "8002746_14.jpg", "8002746_15.jpg", "8002746_16.jpg", "8002746_17.jpg", "8002746_18.jpg", "8002746_19.jpg", "8002746_20.jpg", "8002746_21.jpg", "8002746_22.jpg", "8002746_23.jpg" ]
general shot of the profile of a man walking through a desolate city
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002746.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 \"general shot of the profile of a man walking through a desolate city\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
8000750
[ "8000750_00.jpg", "8000750_01.jpg", "8000750_02.jpg", "8000750_03.jpg", "8000750_04.jpg", "8000750_05.jpg", "8000750_06.jpg", "8000750_07.jpg", "8000750_08.jpg", "8000750_09.jpg", "8000750_10.jpg", "8000750_11.jpg", "8000750_12.jpg", "8000750_13.jpg", "8000750_14.jpg", "8000750_15.jpg", "8000750_16.jpg", "8000750_17.jpg", "8000750_18.jpg", "8000750_19.jpg", "8000750_20.jpg", "8000750_21.jpg", "8000750_22.jpg", "8000750_23.jpg" ]
the world of fantasia with falcore flying around it
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000750.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 world of fantasia with falcore flying around it\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
s000137
[ "s000137_00.jpg", "s000137_01.jpg", "s000137_02.jpg", "s000137_03.jpg", "s000137_04.jpg", "s000137_05.jpg", "s000137_06.jpg", "s000137_07.jpg", "s000137_08.jpg", "s000137_09.jpg", "s000137_10.jpg", "s000137_11.jpg", "s000137_12.jpg", "s000137_13.jpg", "s000137_14.jpg", "s000137_15.jpg", "s000137_16.jpg", "s000137_17.jpg", "s000137_18.jpg", "s000137_19.jpg", "s000137_20.jpg", "s000137_21.jpg", "s000137_22.jpg", "s000137_23.jpg" ]
beautiful view of tehran city Message: Bita (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000137.mp4
4
4
4
0
4
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"beautiful view of tehran city Message: Bita (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n" } ]
1006031
[ "1006031_00.jpg", "1006031_01.jpg", "1006031_02.jpg", "1006031_03.jpg", "1006031_04.jpg", "1006031_05.jpg", "1006031_06.jpg", "1006031_07.jpg", "1006031_08.jpg", "1006031_09.jpg", "1006031_10.jpg", "1006031_11.jpg", "1006031_12.jpg", "1006031_13.jpg", "1006031_14.jpg", "1006031_15.jpg" ]
a car racing down the street of a futuristic city at the speed of light
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006031.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 car racing down the street of a futuristic city at the speed of light\",\nall the 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" } ]
6003136
[ "6003136_00.jpg", "6003136_01.jpg", "6003136_02.jpg", "6003136_03.jpg", "6003136_04.jpg", "6003136_05.jpg", "6003136_06.jpg", "6003136_07.jpg", "6003136_08.jpg", "6003136_09.jpg", "6003136_10.jpg", "6003136_11.jpg", "6003136_12.jpg", "6003136_13.jpg", "6003136_14.jpg", "6003136_15.jpg" ]
a pita with hummus on it in Israel
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003136.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 pita with hummus on it in Israel\",\nall the 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" } ]
2002430
[ "2002430_00.jpg", "2002430_01.jpg", "2002430_02.jpg", "2002430_03.jpg", "2002430_04.jpg", "2002430_05.jpg", "2002430_06.jpg", "2002430_07.jpg", "2002430_08.jpg", "2002430_09.jpg", "2002430_10.jpg", "2002430_11.jpg", "2002430_12.jpg", "2002430_13.jpg", "2002430_14.jpg", "2002430_15.jpg" ]
2 men fighting in a boxing ring made of gold with red gloves
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002430.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 \"2 men fighting in a boxing ring made of gold with red gloves\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
2000325
[ "2000325_00.jpg", "2000325_01.jpg", "2000325_02.jpg", "2000325_03.jpg", "2000325_04.jpg", "2000325_05.jpg", "2000325_06.jpg", "2000325_07.jpg", "2000325_08.jpg", "2000325_09.jpg", "2000325_10.jpg", "2000325_11.jpg", "2000325_12.jpg", "2000325_13.jpg", "2000325_14.jpg", "2000325_15.jpg" ]
Realistic pituce of a alien gray pointing towards me
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000325.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 \"Realistic pituce of a alien gray pointing towards me\",\nall the 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" } ]
2006968
[ "2006968_00.jpg", "2006968_01.jpg", "2006968_02.jpg", "2006968_03.jpg", "2006968_04.jpg", "2006968_05.jpg", "2006968_06.jpg", "2006968_07.jpg", "2006968_08.jpg", "2006968_09.jpg", "2006968_10.jpg", "2006968_11.jpg", "2006968_12.jpg", "2006968_13.jpg", "2006968_14.jpg", "2006968_15.jpg" ]
women in a futuristic city realistic animation
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006968.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 \"women in a futuristic city realistic 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: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1002098
[ "1002098_00.jpg", "1002098_01.jpg", "1002098_02.jpg", "1002098_03.jpg", "1002098_04.jpg", "1002098_05.jpg", "1002098_06.jpg", "1002098_07.jpg", "1002098_08.jpg", "1002098_09.jpg", "1002098_10.jpg", "1002098_11.jpg", "1002098_12.jpg", "1002098_13.jpg", "1002098_14.jpg", "1002098_15.jpg" ]
horror core, man in the forest, glitch, 1980s French experimental film
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002098.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 \"horror core, man in the forest, glitch, 1980s French experimental 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" } ]
3002950
[ "3002950_00.jpg", "3002950_01.jpg", "3002950_02.jpg", "3002950_03.jpg", "3002950_04.jpg", "3002950_05.jpg", "3002950_06.jpg", "3002950_07.jpg", "3002950_08.jpg", "3002950_09.jpg", "3002950_10.jpg", "3002950_11.jpg", "3002950_12.jpg", "3002950_13.jpg", "3002950_14.jpg", "3002950_15.jpg" ]
closeup overexposed brightly glowing blurred silhouette of a person walking to the left
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002950.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 \"closeup overexposed brightly glowing blurred silhouette of a person walking to the left\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
4003952
[ "4003952_00.jpg", "4003952_01.jpg", "4003952_02.jpg", "4003952_03.jpg", "4003952_04.jpg", "4003952_05.jpg", "4003952_06.jpg", "4003952_07.jpg", "4003952_08.jpg", "4003952_09.jpg", "4003952_10.jpg", "4003952_11.jpg", "4003952_12.jpg", "4003952_13.jpg", "4003952_14.jpg", "4003952_15.jpg" ]
goku in SS3 inviting to a party
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003952.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 \"goku in SS3 inviting to a party\",\nall the 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" } ]
4003630
[ "4003630_00.jpg", "4003630_01.jpg", "4003630_02.jpg", "4003630_03.jpg", "4003630_04.jpg", "4003630_05.jpg", "4003630_06.jpg", "4003630_07.jpg", "4003630_08.jpg", "4003630_09.jpg", "4003630_10.jpg", "4003630_11.jpg", "4003630_12.jpg", "4003630_13.jpg", "4003630_14.jpg", "4003630_15.jpg" ]
homeless man, sitting street, looking to sky, crying
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003630.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 \"homeless man, sitting street, looking to sky, crying\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
4000047
[ "4000047_00.jpg", "4000047_01.jpg", "4000047_02.jpg", "4000047_03.jpg", "4000047_04.jpg", "4000047_05.jpg", "4000047_06.jpg", "4000047_07.jpg", "4000047_08.jpg", "4000047_09.jpg", "4000047_10.jpg", "4000047_11.jpg", "4000047_12.jpg", "4000047_13.jpg", "4000047_14.jpg", "4000047_15.jpg" ]
Cristiano Ronaldo talkink about success and motivation
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000047.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 \"Cristiano Ronaldo talkink about success and motivation\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3004113
[ "3004113_00.jpg", "3004113_01.jpg", "3004113_02.jpg", "3004113_03.jpg", "3004113_04.jpg", "3004113_05.jpg", "3004113_06.jpg", "3004113_07.jpg", "3004113_08.jpg", "3004113_09.jpg", "3004113_10.jpg", "3004113_11.jpg", "3004113_12.jpg", "3004113_13.jpg", "3004113_14.jpg", "3004113_15.jpg" ]
astronaut flying through space surrounded by fire
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004113.mp4
3
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"astronaut flying through space surrounded by fire\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
5000716
[ "5000716_00.jpg", "5000716_01.jpg", "5000716_02.jpg", "5000716_03.jpg", "5000716_04.jpg", "5000716_05.jpg", "5000716_06.jpg", "5000716_07.jpg", "5000716_08.jpg", "5000716_09.jpg", "5000716_10.jpg", "5000716_11.jpg", "5000716_12.jpg", "5000716_13.jpg", "5000716_14.jpg", "5000716_15.jpg" ]
A worshipper meditating and seeking inner strength and courage from Maa Katyayani.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000716.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 worshipper meditating and seeking inner strength and courage from Maa Katyayani.\",\nall the 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" } ]
2002366
[ "2002366_00.jpg", "2002366_01.jpg", "2002366_02.jpg", "2002366_03.jpg", "2002366_04.jpg", "2002366_05.jpg", "2002366_06.jpg", "2002366_07.jpg", "2002366_08.jpg", "2002366_09.jpg", "2002366_10.jpg", "2002366_11.jpg", "2002366_12.jpg", "2002366_13.jpg", "2002366_14.jpg", "2002366_15.jpg" ]
No prompt
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002366.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 \"No prompt\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
7001406
[ "7001406_00.jpg", "7001406_01.jpg", "7001406_02.jpg", "7001406_03.jpg", "7001406_04.jpg", "7001406_05.jpg", "7001406_06.jpg", "7001406_07.jpg" ]
Imagine fitness couple with dark skin, curly hair, urban landscape, manga illustration, Zen, Amy Sol style, contemporary Chinese art, color gradients, soft color palettes, layered forms
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001406.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 \"Imagine fitness couple with dark skin, curly hair, urban landscape, manga illustration, Zen, Amy Sol style, contemporary Chinese art, color gradients, soft color palettes, layered forms\",\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" } ]
6003590
[ "6003590_00.jpg", "6003590_01.jpg", "6003590_02.jpg", "6003590_03.jpg", "6003590_04.jpg", "6003590_05.jpg", "6003590_06.jpg", "6003590_07.jpg", "6003590_08.jpg", "6003590_09.jpg", "6003590_10.jpg", "6003590_11.jpg", "6003590_12.jpg", "6003590_13.jpg", "6003590_14.jpg", "6003590_15.jpg" ]
stonerbra420, dank nuts plenty, jar never empty, sunny and bluntdaddy. Queef squad!
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003590.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 \"stonerbra420, dank nuts plenty, jar never empty, sunny and bluntdaddy. Queef squad!\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
7000720
[ "7000720_00.jpg", "7000720_01.jpg", "7000720_02.jpg", "7000720_03.jpg", "7000720_04.jpg", "7000720_05.jpg", "7000720_06.jpg", "7000720_07.jpg" ]
A cute neo chibi seal with anthropomorphic features wearing a red toque and a mustard yellow sweater walking through a fuzzy market
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000720.mp4
2
2
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A cute neo chibi seal with anthropomorphic features wearing a red toque and a mustard yellow sweater walking through a fuzzy market\",\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" } ]
4000043
[ "4000043_00.jpg", "4000043_01.jpg", "4000043_02.jpg", "4000043_03.jpg", "4000043_04.jpg", "4000043_05.jpg", "4000043_06.jpg", "4000043_07.jpg", "4000043_08.jpg", "4000043_09.jpg", "4000043_10.jpg", "4000043_11.jpg", "4000043_12.jpg", "4000043_13.jpg", "4000043_14.jpg", "4000043_15.jpg" ]
A boy holds a girl who is about to fall on the edge of a cliff
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000043.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 boy holds a girl who is about to fall on the edge of a cliff\",\nall the 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" } ]
1001096
[ "1001096_00.jpg", "1001096_01.jpg", "1001096_02.jpg", "1001096_03.jpg", "1001096_04.jpg", "1001096_05.jpg", "1001096_06.jpg", "1001096_07.jpg", "1001096_08.jpg", "1001096_09.jpg", "1001096_10.jpg", "1001096_11.jpg", "1001096_12.jpg", "1001096_13.jpg", "1001096_14.jpg", "1001096_15.jpg" ]
create a dog interviewing a cat that stole its acoustic guitar
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001096.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"create a dog interviewing a cat that stole its acoustic guitar\",\nall the 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" } ]
1002631
[ "1002631_00.jpg", "1002631_01.jpg", "1002631_02.jpg", "1002631_03.jpg", "1002631_04.jpg", "1002631_05.jpg", "1002631_06.jpg", "1002631_07.jpg", "1002631_08.jpg", "1002631_09.jpg", "1002631_10.jpg", "1002631_11.jpg", "1002631_12.jpg", "1002631_13.jpg", "1002631_14.jpg", "1002631_15.jpg" ]
red river and blue tomato and tree inside water
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002631.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 \"red river and blue tomato and tree inside water\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
6001158
[ "6001158_00.jpg", "6001158_01.jpg", "6001158_02.jpg", "6001158_03.jpg", "6001158_04.jpg", "6001158_05.jpg", "6001158_06.jpg", "6001158_07.jpg", "6001158_08.jpg", "6001158_09.jpg", "6001158_10.jpg", "6001158_11.jpg", "6001158_12.jpg", "6001158_13.jpg", "6001158_14.jpg", "6001158_15.jpg" ]
a lamborghini racing in a desert.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001158.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 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: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
4000227
[ "4000227_00.jpg", "4000227_01.jpg", "4000227_02.jpg", "4000227_03.jpg", "4000227_04.jpg", "4000227_05.jpg", "4000227_06.jpg", "4000227_07.jpg", "4000227_08.jpg", "4000227_09.jpg", "4000227_10.jpg", "4000227_11.jpg", "4000227_12.jpg", "4000227_13.jpg", "4000227_14.jpg", "4000227_15.jpg" ]
a black and grey striped kitten with Santa Hat
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000227.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a black and grey striped kitten with Santa Hat\",\nall the 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" } ]
3004730
[ "3004730_00.jpg", "3004730_01.jpg", "3004730_02.jpg", "3004730_03.jpg", "3004730_04.jpg", "3004730_05.jpg", "3004730_06.jpg", "3004730_07.jpg", "3004730_08.jpg", "3004730_09.jpg", "3004730_10.jpg", "3004730_11.jpg", "3004730_12.jpg", "3004730_13.jpg", "3004730_14.jpg", "3004730_15.jpg" ]
In a remote village, a robust baby named Conan is born amidst a violent storm. The elders see this as a sign from the gods and predict that he will become a great warrior.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004730.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 \"In a remote village, a robust baby named Conan is born amidst a violent storm. The elders see this as a sign from the gods and predict that he will become a great warrior.\",\nall the 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" } ]
3005807
[ "3005807_00.jpg", "3005807_01.jpg", "3005807_02.jpg", "3005807_03.jpg", "3005807_04.jpg", "3005807_05.jpg", "3005807_06.jpg", "3005807_07.jpg", "3005807_08.jpg", "3005807_09.jpg", "3005807_10.jpg", "3005807_11.jpg", "3005807_12.jpg", "3005807_13.jpg", "3005807_14.jpg", "3005807_15.jpg" ]
Spaceship making an orbital soldier drop, cinematic, surveillance camera format
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005807.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 \"Spaceship making an orbital soldier drop, cinematic, surveillance camera format\",\nall the 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" } ]
1000735
[ "1000735_00.jpg", "1000735_01.jpg", "1000735_02.jpg", "1000735_03.jpg", "1000735_04.jpg", "1000735_05.jpg", "1000735_06.jpg", "1000735_07.jpg", "1000735_08.jpg", "1000735_09.jpg", "1000735_10.jpg", "1000735_11.jpg", "1000735_12.jpg", "1000735_13.jpg", "1000735_14.jpg", "1000735_15.jpg" ]
The protagonist: A boy cycling in a beautiful road landscapes in backgounrd and birds flying in the sky
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000735.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 protagonist: A boy cycling in a beautiful road landscapes in backgounrd and birds flying in the sky\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2002046
[ "2002046_00.jpg", "2002046_01.jpg", "2002046_02.jpg", "2002046_03.jpg", "2002046_04.jpg", "2002046_05.jpg", "2002046_06.jpg", "2002046_07.jpg", "2002046_08.jpg", "2002046_09.jpg", "2002046_10.jpg", "2002046_11.jpg", "2002046_12.jpg", "2002046_13.jpg", "2002046_14.jpg", "2002046_15.jpg" ]
meteor flying through space to hit the Earth
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002046.mp4
2
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 \"meteor flying through space to hit the Earth\",\nall the 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: 1\n" } ]