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7
7
images
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8
24
text prompt
stringlengths
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947
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89
89
visual quality
int64
1
4
temporal consistency
int64
1
4
dynamic degree
int64
1
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int64
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factual consistency
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0005300
[ "0005300_00.jpg", "0005300_01.jpg", "0005300_02.jpg", "0005300_03.jpg", "0005300_04.jpg", "0005300_05.jpg", "0005300_06.jpg", "0005300_07.jpg", "0005300_08.jpg", "0005300_09.jpg", "0005300_10.jpg", "0005300_11.jpg", "0005300_12.jpg", "0005300_13.jpg", "0005300_14.jpg", "0005300_15.jpg", "0005300_16.jpg", "0005300_17.jpg", "0005300_18.jpg", "0005300_19.jpg", "0005300_20.jpg", "0005300_21.jpg", "0005300_22.jpg", "0005300_23.jpg" ]
Luis Royo style illustration of the beautiful Disney Pocahontas, with her tribal outfit, similar to Charisma Carpenter.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005300.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 \"Luis Royo style illustration of the beautiful Disney Pocahontas, with her tribal outfit, similar to Charisma Carpenter.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3001930
[ "3001930_00.jpg", "3001930_01.jpg", "3001930_02.jpg", "3001930_03.jpg", "3001930_04.jpg", "3001930_05.jpg", "3001930_06.jpg", "3001930_07.jpg", "3001930_08.jpg", "3001930_09.jpg", "3001930_10.jpg", "3001930_11.jpg", "3001930_12.jpg", "3001930_13.jpg", "3001930_14.jpg", "3001930_15.jpg" ]
painted as a trompe l oein demo.ackrylic on board.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001930.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 \"painted as a trompe l oein demo.ackrylic on board.\",\nall the 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" } ]
6001596
[ "6001596_00.jpg", "6001596_01.jpg", "6001596_02.jpg", "6001596_03.jpg", "6001596_04.jpg", "6001596_05.jpg", "6001596_06.jpg", "6001596_07.jpg", "6001596_08.jpg", "6001596_09.jpg", "6001596_10.jpg", "6001596_11.jpg", "6001596_12.jpg", "6001596_13.jpg", "6001596_14.jpg", "6001596_15.jpg" ]
a lone warrior stands before the abyss
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001596.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 lone warrior stands before the abyss\",\nall the 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" } ]
1004760
[ "1004760_00.jpg", "1004760_01.jpg", "1004760_02.jpg", "1004760_03.jpg", "1004760_04.jpg", "1004760_05.jpg", "1004760_06.jpg", "1004760_07.jpg", "1004760_08.jpg", "1004760_09.jpg", "1004760_10.jpg", "1004760_11.jpg", "1004760_12.jpg", "1004760_13.jpg", "1004760_14.jpg", "1004760_15.jpg" ]
an Angel falling into the pupil of an eye
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004760.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 \"an Angel falling into the pupil of an eye\",\nall the 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" } ]
1006584
[ "1006584_00.jpg", "1006584_01.jpg", "1006584_02.jpg", "1006584_03.jpg", "1006584_04.jpg", "1006584_05.jpg", "1006584_06.jpg", "1006584_07.jpg", "1006584_08.jpg", "1006584_09.jpg", "1006584_10.jpg", "1006584_11.jpg", "1006584_12.jpg", "1006584_13.jpg", "1006584_14.jpg", "1006584_15.jpg" ]
A Russian soldier standing on the battlefield (a soldier stands in the middle) in the hands of a wounded comrade
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006584.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 Russian soldier standing on the battlefield (a soldier stands in the middle) in the hands of a wounded comrade\",\nall the 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" } ]
1002610
[ "1002610_00.jpg", "1002610_01.jpg", "1002610_02.jpg", "1002610_03.jpg", "1002610_04.jpg", "1002610_05.jpg", "1002610_06.jpg", "1002610_07.jpg", "1002610_08.jpg", "1002610_09.jpg", "1002610_10.jpg", "1002610_11.jpg", "1002610_12.jpg", "1002610_13.jpg", "1002610_14.jpg", "1002610_15.jpg" ]
art house 1990s fairy cam corder cinematic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002610.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 \"art house 1990s fairy cam corder cinematic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6004597
[ "6004597_00.jpg", "6004597_01.jpg", "6004597_02.jpg", "6004597_03.jpg", "6004597_04.jpg", "6004597_05.jpg", "6004597_06.jpg", "6004597_07.jpg", "6004597_08.jpg", "6004597_09.jpg", "6004597_10.jpg", "6004597_11.jpg", "6004597_12.jpg", "6004597_13.jpg", "6004597_14.jpg", "6004597_15.jpg" ]
a 13 years old child in a magic forest
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004597.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 13 years old child in a magic forest\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2001325
[ "2001325_00.jpg", "2001325_01.jpg", "2001325_02.jpg", "2001325_03.jpg", "2001325_04.jpg", "2001325_05.jpg", "2001325_06.jpg", "2001325_07.jpg", "2001325_08.jpg", "2001325_09.jpg", "2001325_10.jpg", "2001325_11.jpg", "2001325_12.jpg", "2001325_13.jpg", "2001325_14.jpg", "2001325_15.jpg" ]
Zoom in on an exterior window in the wall of a 1932 apartment building
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001325.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 \"Zoom in on an exterior window in the wall of a 1932 apartment 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: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3005500
[ "3005500_00.jpg", "3005500_01.jpg", "3005500_02.jpg", "3005500_03.jpg", "3005500_04.jpg", "3005500_05.jpg", "3005500_06.jpg", "3005500_07.jpg", "3005500_08.jpg", "3005500_09.jpg", "3005500_10.jpg", "3005500_11.jpg", "3005500_12.jpg", "3005500_13.jpg", "3005500_14.jpg", "3005500_15.jpg" ]
girl with soul covering her face only her eyes showing beneath a bush. Horror, dark, 60s, art house, film
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005500.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 \"girl with soul covering her face only her eyes showing beneath a bush. Horror, dark, 60s, art house, 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" } ]
0001720
[ "0001720_00.jpg", "0001720_01.jpg", "0001720_02.jpg", "0001720_03.jpg", "0001720_04.jpg", "0001720_05.jpg", "0001720_06.jpg", "0001720_07.jpg", "0001720_08.jpg", "0001720_09.jpg", "0001720_10.jpg", "0001720_11.jpg", "0001720_12.jpg", "0001720_13.jpg", "0001720_14.jpg", "0001720_15.jpg", "0001720_16.jpg", "0001720_17.jpg", "0001720_18.jpg", "0001720_19.jpg", "0001720_20.jpg", "0001720_21.jpg", "0001720_22.jpg", "0001720_23.jpg" ]
Before us, 10 gods stand atop Mount Olympus, their divine figures commanding the scene. Beyond them, the temple of Olympus comes into view, perched majestically on the summit.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001720.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 \"Before us, 10 gods stand atop Mount Olympus, their divine figures commanding the scene. Beyond them, the temple of Olympus comes into view, perched majestically on the summit.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3002897
[ "3002897_00.jpg", "3002897_01.jpg", "3002897_02.jpg", "3002897_03.jpg", "3002897_04.jpg", "3002897_05.jpg", "3002897_06.jpg", "3002897_07.jpg", "3002897_08.jpg", "3002897_09.jpg", "3002897_10.jpg", "3002897_11.jpg", "3002897_12.jpg", "3002897_13.jpg", "3002897_14.jpg", "3002897_15.jpg" ]
A cute happy Corgi playing in park, sunset, in cyberpunk style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002897.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 cute happy Corgi playing in park, sunset, in cyberpunk 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: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
0001891
[ "0001891_00.jpg", "0001891_01.jpg", "0001891_02.jpg", "0001891_03.jpg", "0001891_04.jpg", "0001891_05.jpg", "0001891_06.jpg", "0001891_07.jpg", "0001891_08.jpg", "0001891_09.jpg", "0001891_10.jpg", "0001891_11.jpg", "0001891_12.jpg", "0001891_13.jpg", "0001891_14.jpg", "0001891_15.jpg", "0001891_16.jpg", "0001891_17.jpg", "0001891_18.jpg", "0001891_19.jpg", "0001891_20.jpg", "0001891_21.jpg", "0001891_22.jpg", "0001891_23.jpg" ]
a man is moving like shaking and create emotional close and open his eyeseyes. hieyeseyeMotioniohieyeseyeMotioni
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001891.mp4
3
2
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a man is moving like shaking and create emotional close and open his eyeseyes. hieyeseyeMotioniohieyeseyeMotioni\",\nall the 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" } ]
4000711
[ "4000711_00.jpg", "4000711_01.jpg", "4000711_02.jpg", "4000711_03.jpg", "4000711_04.jpg", "4000711_05.jpg", "4000711_06.jpg", "4000711_07.jpg", "4000711_08.jpg", "4000711_09.jpg", "4000711_10.jpg", "4000711_11.jpg", "4000711_12.jpg", "4000711_13.jpg", "4000711_14.jpg", "4000711_15.jpg" ]
Fatih Sultan Mehmet tells the story of his maid who fell in love with him.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000711.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 \"Fatih Sultan Mehmet tells the story of his maid who fell in love with him.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
2005763
[ "2005763_00.jpg", "2005763_01.jpg", "2005763_02.jpg", "2005763_03.jpg", "2005763_04.jpg", "2005763_05.jpg", "2005763_06.jpg", "2005763_07.jpg", "2005763_08.jpg", "2005763_09.jpg", "2005763_10.jpg", "2005763_11.jpg", "2005763_12.jpg", "2005763_13.jpg", "2005763_14.jpg", "2005763_15.jpg" ]
Little hedgehog in the mist 动作:look for food
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005763.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 \"Little hedgehog in the mist 动作:look for food\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0006165
[ "0006165_00.jpg", "0006165_01.jpg", "0006165_02.jpg", "0006165_03.jpg", "0006165_04.jpg", "0006165_05.jpg", "0006165_06.jpg", "0006165_07.jpg", "0006165_08.jpg", "0006165_09.jpg", "0006165_10.jpg", "0006165_11.jpg", "0006165_12.jpg", "0006165_13.jpg", "0006165_14.jpg", "0006165_15.jpg", "0006165_16.jpg", "0006165_17.jpg", "0006165_18.jpg", "0006165_19.jpg", "0006165_20.jpg", "0006165_21.jpg", "0006165_22.jpg", "0006165_23.jpg" ]
kids running through a disney town being chased by cute dogs
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006165.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 \"kids running through a disney town being chased by cute dogs\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
4000934
[ "4000934_00.jpg", "4000934_01.jpg", "4000934_02.jpg", "4000934_03.jpg", "4000934_04.jpg", "4000934_05.jpg", "4000934_06.jpg", "4000934_07.jpg", "4000934_08.jpg", "4000934_09.jpg", "4000934_10.jpg", "4000934_11.jpg", "4000934_12.jpg", "4000934_13.jpg", "4000934_14.jpg", "4000934_15.jpg" ]
Introducing a professional postcard direct mail marketing company, specializing in effective promotion solutions for Amazon sellers. Through vivid case studies, we’ll showcase how we help our clients boost sales and brand visibility. Let’s explore this innovative marketing approach together and bring more success to your Amazon business
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000934.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 \"Introducing a professional postcard direct mail marketing company, specializing in effective promotion solutions for Amazon sellers. Through vivid case studies, we’ll showcase how we help our clients boost sales and brand visibility. Let’s explore this innovative marketing approach together and bring more success to your Amazon business\",\nall the 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" } ]
4004110
[ "4004110_00.jpg", "4004110_01.jpg", "4004110_02.jpg", "4004110_03.jpg", "4004110_04.jpg", "4004110_05.jpg", "4004110_06.jpg", "4004110_07.jpg", "4004110_08.jpg", "4004110_09.jpg", "4004110_10.jpg", "4004110_11.jpg", "4004110_12.jpg", "4004110_13.jpg", "4004110_14.jpg", "4004110_15.jpg" ]
Quiet moments in a whimsical town, in the style of Studio Ghibli slice of life, warm and vibrant colors, cozy interiors, slow camera pans
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004110.mp4
3
3
2
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Quiet moments in a whimsical town, in the style of Studio Ghibli slice of life, warm and vibrant colors, cozy interiors, slow camera pans\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
4000437
[ "4000437_00.jpg", "4000437_01.jpg", "4000437_02.jpg", "4000437_03.jpg", "4000437_04.jpg", "4000437_05.jpg", "4000437_06.jpg", "4000437_07.jpg", "4000437_08.jpg", "4000437_09.jpg", "4000437_10.jpg", "4000437_11.jpg", "4000437_12.jpg", "4000437_13.jpg", "4000437_14.jpg", "4000437_15.jpg" ]
On Christmas night, fireworks bloom. The text appears: Happy Christmas! ​
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000437.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 \"On Christmas night, fireworks bloom. The text appears: Happy Christmas!\n​\",\nall the 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" } ]
0002178
[ "0002178_00.jpg", "0002178_01.jpg", "0002178_02.jpg", "0002178_03.jpg", "0002178_04.jpg", "0002178_05.jpg", "0002178_06.jpg", "0002178_07.jpg", "0002178_08.jpg", "0002178_09.jpg", "0002178_10.jpg", "0002178_11.jpg", "0002178_12.jpg", "0002178_13.jpg", "0002178_14.jpg", "0002178_15.jpg", "0002178_16.jpg", "0002178_17.jpg", "0002178_18.jpg", "0002178_19.jpg", "0002178_20.jpg", "0002178_21.jpg", "0002178_22.jpg", "0002178_23.jpg" ]
I was getting fatter, but I just decided not to think about it. I suppose that’s what everybody has to do with food addiction, you have to not think about it. You enjoy the food and just decide to ignore all the fat.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002178.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 \"I was getting fatter, but I just decided not to think about it. I suppose that’s what everybody has to do with food addiction, you have to not think about it. You enjoy the food and just decide to ignore all the fat.\",\nall the 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" } ]
0004967
[ "0004967_00.jpg", "0004967_01.jpg", "0004967_02.jpg", "0004967_03.jpg", "0004967_04.jpg", "0004967_05.jpg", "0004967_06.jpg", "0004967_07.jpg", "0004967_08.jpg", "0004967_09.jpg", "0004967_10.jpg", "0004967_11.jpg", "0004967_12.jpg", "0004967_13.jpg", "0004967_14.jpg", "0004967_15.jpg", "0004967_16.jpg", "0004967_17.jpg", "0004967_18.jpg", "0004967_19.jpg", "0004967_20.jpg", "0004967_21.jpg", "0004967_22.jpg", "0004967_23.jpg" ]
a weird colorful moving background with lots of colors and motion
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004967.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 weird colorful moving background with lots of colors and motion\",\nall the 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" } ]
8001800
[ "8001800_00.jpg", "8001800_01.jpg", "8001800_02.jpg", "8001800_03.jpg", "8001800_04.jpg", "8001800_05.jpg", "8001800_06.jpg", "8001800_07.jpg", "8001800_08.jpg", "8001800_09.jpg", "8001800_10.jpg", "8001800_11.jpg", "8001800_12.jpg", "8001800_13.jpg", "8001800_14.jpg", "8001800_15.jpg", "8001800_16.jpg", "8001800_17.jpg", "8001800_18.jpg", "8001800_19.jpg", "8001800_20.jpg", "8001800_21.jpg", "8001800_22.jpg", "8001800_23.jpg" ]
3 slender Arab giants speak to Abraham, movie shot 70mm anamorphic lense, cinematic light,
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001800.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 \"3 slender Arab giants speak to Abraham, movie shot 70mm anamorphic lense, cinematic 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> <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" } ]
7002774
[ "7002774_00.jpg", "7002774_01.jpg", "7002774_02.jpg", "7002774_03.jpg", "7002774_04.jpg", "7002774_05.jpg", "7002774_06.jpg", "7002774_07.jpg" ]
font san Message: I love my life (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002774.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 \"font san Message: I love my life (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
s000780
[ "s000780_00.jpg", "s000780_01.jpg", "s000780_02.jpg", "s000780_03.jpg", "s000780_04.jpg", "s000780_05.jpg", "s000780_06.jpg", "s000780_07.jpg", "s000780_08.jpg", "s000780_09.jpg", "s000780_10.jpg", "s000780_11.jpg", "s000780_12.jpg", "s000780_13.jpg", "s000780_14.jpg", "s000780_15.jpg", "s000780_16.jpg", "s000780_17.jpg", "s000780_18.jpg", "s000780_19.jpg" ]
Mario fires bullets to jump up Message: Mario (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000780.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 \"Mario fires bullets to jump up Message: Mario (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> " }, { "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" } ]
1000223
[ "1000223_00.jpg", "1000223_01.jpg", "1000223_02.jpg", "1000223_03.jpg", "1000223_04.jpg", "1000223_05.jpg", "1000223_06.jpg", "1000223_07.jpg", "1000223_08.jpg", "1000223_09.jpg", "1000223_10.jpg", "1000223_11.jpg", "1000223_12.jpg", "1000223_13.jpg", "1000223_14.jpg", "1000223_15.jpg" ]
3d disney animation of a boy driving a car
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000223.mp4
1
1
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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 \"3d disney animation of a boy driving a car\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7001920
[ "7001920_00.jpg", "7001920_01.jpg", "7001920_02.jpg", "7001920_03.jpg", "7001920_04.jpg", "7001920_05.jpg", "7001920_06.jpg", "7001920_07.jpg" ]
A serene scene of a clock hands moving forward surrounded by a blur of seasons changing rapidly, symbolizing the relentless passage of time.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001920.mp4
2
2
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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 serene scene of a clock hands moving forward surrounded by a blur of seasons changing rapidly, symbolizing the relentless passage of time.\",\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" } ]
1000515
[ "1000515_00.jpg", "1000515_01.jpg", "1000515_02.jpg", "1000515_03.jpg", "1000515_04.jpg", "1000515_05.jpg", "1000515_06.jpg", "1000515_07.jpg", "1000515_08.jpg", "1000515_09.jpg", "1000515_10.jpg", "1000515_11.jpg", "1000515_12.jpg", "1000515_13.jpg", "1000515_14.jpg", "1000515_15.jpg" ]
Game of thrones final season variations
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000515.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 \"Game of thrones final season variations\",\nall the 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" } ]
2000876
[ "2000876_00.jpg", "2000876_01.jpg", "2000876_02.jpg", "2000876_03.jpg", "2000876_04.jpg", "2000876_05.jpg", "2000876_06.jpg", "2000876_07.jpg", "2000876_08.jpg", "2000876_09.jpg", "2000876_10.jpg", "2000876_11.jpg", "2000876_12.jpg", "2000876_13.jpg", "2000876_14.jpg", "2000876_15.jpg" ]
amidst a swirling dance of wind and snow in the vast, white snowy night, a pedestrian is walking on the homeward journey, navigating throught this wintry landscape
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000876.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 \"amidst a swirling dance of wind and snow in the vast, white snowy night, a pedestrian is walking on the homeward journey, navigating throught this wintry landscape\",\nall the 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" } ]
1001759
[ "1001759_00.jpg", "1001759_01.jpg", "1001759_02.jpg", "1001759_03.jpg", "1001759_04.jpg", "1001759_05.jpg", "1001759_06.jpg", "1001759_07.jpg", "1001759_08.jpg", "1001759_09.jpg", "1001759_10.jpg", "1001759_11.jpg", "1001759_12.jpg", "1001759_13.jpg", "1001759_14.jpg", "1001759_15.jpg" ]
A handsome actress portrait margot robbie wearing blue bikini dancing on the beach
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001759.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 handsome actress portrait margot robbie wearing blue bikini dancing 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: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3000719
[ "3000719_00.jpg", "3000719_01.jpg", "3000719_02.jpg", "3000719_03.jpg", "3000719_04.jpg", "3000719_05.jpg", "3000719_06.jpg", "3000719_07.jpg", "3000719_08.jpg", "3000719_09.jpg", "3000719_10.jpg", "3000719_11.jpg", "3000719_12.jpg", "3000719_13.jpg", "3000719_14.jpg", "3000719_15.jpg" ]
ball room, beautiful woman and men, leather masquerade at a party, galmar
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000719.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 \"ball room, beautiful woman and men, leather masquerade at a party, galmar\",\nall the 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" } ]
6004892
[ "6004892_00.jpg", "6004892_01.jpg", "6004892_02.jpg", "6004892_03.jpg", "6004892_04.jpg", "6004892_05.jpg", "6004892_06.jpg", "6004892_07.jpg", "6004892_08.jpg", "6004892_09.jpg", "6004892_10.jpg", "6004892_11.jpg", "6004892_12.jpg", "6004892_13.jpg", "6004892_14.jpg", "6004892_15.jpg" ]
This close-up shot of a chameleon showcases its striking color changing capabilities. The background is blurred, drawing attention to the animal’s striking appearance.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004892.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"This close-up shot of a chameleon showcases its striking color changing capabilities. The background is blurred, drawing attention to the animal’s striking appearance.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1000139
[ "1000139_00.jpg", "1000139_01.jpg", "1000139_02.jpg", "1000139_03.jpg", "1000139_04.jpg", "1000139_05.jpg", "1000139_06.jpg", "1000139_07.jpg", "1000139_08.jpg", "1000139_09.jpg", "1000139_10.jpg", "1000139_11.jpg", "1000139_12.jpg", "1000139_13.jpg", "1000139_14.jpg", "1000139_15.jpg" ]
Huskar from Dota 2 fights with Thor from Marvel. cartoon style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000139.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 \"Huskar from Dota 2 fights with Thor from Marvel. 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: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1000753
[ "1000753_00.jpg", "1000753_01.jpg", "1000753_02.jpg", "1000753_03.jpg", "1000753_04.jpg", "1000753_05.jpg", "1000753_06.jpg", "1000753_07.jpg", "1000753_08.jpg", "1000753_09.jpg", "1000753_10.jpg", "1000753_11.jpg", "1000753_12.jpg", "1000753_13.jpg", "1000753_14.jpg", "1000753_15.jpg" ]
day time yellow home tree around home cute boy open door of home come out of home
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000753.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 \"day time yellow home tree around home cute boy open door of home come out of home\",\nall the 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" } ]
3006196
[ "3006196_00.jpg", "3006196_01.jpg", "3006196_02.jpg", "3006196_03.jpg", "3006196_04.jpg", "3006196_05.jpg", "3006196_06.jpg", "3006196_07.jpg", "3006196_08.jpg", "3006196_09.jpg", "3006196_10.jpg", "3006196_11.jpg", "3006196_12.jpg", "3006196_13.jpg", "3006196_14.jpg", "3006196_15.jpg" ]
old school Cadillac cruising down an old road at high speed. Front view
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006196.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 \"old school Cadillac cruising down an old road at high speed. Front view\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1001465
[ "1001465_00.jpg", "1001465_01.jpg", "1001465_02.jpg", "1001465_03.jpg", "1001465_04.jpg", "1001465_05.jpg", "1001465_06.jpg", "1001465_07.jpg", "1001465_08.jpg", "1001465_09.jpg", "1001465_10.jpg", "1001465_11.jpg", "1001465_12.jpg", "1001465_13.jpg", "1001465_14.jpg", "1001465_15.jpg" ]
Step-printing scene of a person running, cinematic film shot in 35mm.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001465.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 \"Step-printing scene of a person running, cinematic film shot in 35mm.\",\nall the 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" } ]
0006951
[ "0006951_00.jpg", "0006951_01.jpg", "0006951_02.jpg", "0006951_03.jpg", "0006951_04.jpg", "0006951_05.jpg", "0006951_06.jpg", "0006951_07.jpg", "0006951_08.jpg", "0006951_09.jpg", "0006951_10.jpg", "0006951_11.jpg", "0006951_12.jpg", "0006951_13.jpg", "0006951_14.jpg", "0006951_15.jpg", "0006951_16.jpg", "0006951_17.jpg", "0006951_18.jpg", "0006951_19.jpg", "0006951_20.jpg", "0006951_21.jpg", "0006951_22.jpg", "0006951_23.jpg" ]
Convey the moment when they step through the portal and return to the woods.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006951.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 \"Convey the moment when they step through the portal and return to the woods.\",\nall the 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: 2\n" } ]
0005361
[ "0005361_00.jpg", "0005361_01.jpg", "0005361_02.jpg", "0005361_03.jpg", "0005361_04.jpg", "0005361_05.jpg", "0005361_06.jpg", "0005361_07.jpg", "0005361_08.jpg", "0005361_09.jpg", "0005361_10.jpg", "0005361_11.jpg", "0005361_12.jpg", "0005361_13.jpg", "0005361_14.jpg", "0005361_15.jpg", "0005361_16.jpg", "0005361_17.jpg", "0005361_18.jpg", "0005361_19.jpg", "0005361_20.jpg", "0005361_21.jpg", "0005361_22.jpg", "0005361_23.jpg" ]
video for 20 seconds, bmw x5 gets into a small accident, then comes to the parking lot, after that it is sold at auction, then it is loaded into a container, then it is repaired in the service and leaves for the city without damage.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005361.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 \"video for 20 seconds, bmw x5 gets into a small accident, then comes to the parking lot, after that it is sold at auction, then it is loaded into a container, then it is repaired in the service and leaves for the city without damage.\",\nall the 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" } ]
s000325
[ "s000325_00.jpg", "s000325_01.jpg", "s000325_02.jpg", "s000325_03.jpg", "s000325_04.jpg", "s000325_05.jpg", "s000325_06.jpg", "s000325_07.jpg", "s000325_08.jpg", "s000325_09.jpg", "s000325_10.jpg", "s000325_11.jpg", "s000325_12.jpg", "s000325_13.jpg", "s000325_14.jpg", "s000325_15.jpg", "s000325_16.jpg", "s000325_17.jpg", "s000325_18.jpg", "s000325_19.jpg", "s000325_20.jpg", "s000325_21.jpg", "s000325_22.jpg", "s000325_23.jpg" ]
Incredibly beautiful front doorway A hen leaning on the door with a big red flower 4k 16:9
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000325.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 \"Incredibly beautiful front doorway A hen leaning on the door with a big red flower 4k 16:9\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n" } ]
1002183
[ "1002183_00.jpg", "1002183_01.jpg", "1002183_02.jpg", "1002183_03.jpg", "1002183_04.jpg", "1002183_05.jpg", "1002183_06.jpg", "1002183_07.jpg", "1002183_08.jpg", "1002183_09.jpg", "1002183_10.jpg", "1002183_11.jpg", "1002183_12.jpg", "1002183_13.jpg", "1002183_14.jpg", "1002183_15.jpg" ]
Donald trump fighting aliens at mcdonalds
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002183.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 \"Donald trump fighting aliens at mcdonalds\",\nall the 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" } ]
5000722
[ "5000722_00.jpg", "5000722_01.jpg", "5000722_02.jpg", "5000722_03.jpg", "5000722_04.jpg", "5000722_05.jpg", "5000722_06.jpg", "5000722_07.jpg", "5000722_08.jpg", "5000722_09.jpg", "5000722_10.jpg", "5000722_11.jpg", "5000722_12.jpg", "5000722_13.jpg", "5000722_14.jpg", "5000722_15.jpg" ]
1940s robot news caster, black and white film, 4K, realistic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000722.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 \"1940s robot news caster, black and white film, 4K, 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: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3002435
[ "3002435_00.jpg", "3002435_01.jpg", "3002435_02.jpg", "3002435_03.jpg", "3002435_04.jpg", "3002435_05.jpg", "3002435_06.jpg", "3002435_07.jpg", "3002435_08.jpg", "3002435_09.jpg", "3002435_10.jpg", "3002435_11.jpg", "3002435_12.jpg", "3002435_13.jpg", "3002435_14.jpg", "3002435_15.jpg" ]
afrobeat Music album cover. stylish and male and female swim wear concept. digital art
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002435.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 \"afrobeat Music album cover. stylish and male and female swim wear concept. digital art\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1002959
[ "1002959_00.jpg", "1002959_01.jpg", "1002959_02.jpg", "1002959_03.jpg", "1002959_04.jpg", "1002959_05.jpg", "1002959_06.jpg", "1002959_07.jpg", "1002959_08.jpg", "1002959_09.jpg", "1002959_10.jpg", "1002959_11.jpg", "1002959_12.jpg", "1002959_13.jpg", "1002959_14.jpg", "1002959_15.jpg" ]
the lion turn back cartoon style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002959.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 lion turn back 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: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0000655
[ "0000655_00.jpg", "0000655_01.jpg", "0000655_02.jpg", "0000655_03.jpg", "0000655_04.jpg", "0000655_05.jpg", "0000655_06.jpg", "0000655_07.jpg", "0000655_08.jpg", "0000655_09.jpg", "0000655_10.jpg", "0000655_11.jpg", "0000655_12.jpg", "0000655_13.jpg", "0000655_14.jpg", "0000655_15.jpg", "0000655_16.jpg", "0000655_17.jpg", "0000655_18.jpg", "0000655_19.jpg", "0000655_20.jpg", "0000655_21.jpg", "0000655_22.jpg", "0000655_23.jpg" ]
hamburgers began to be served on a bun.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000655.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 \"hamburgers began to be served on a bun.\",\nall the 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" } ]
4002344
[ "4002344_00.jpg", "4002344_01.jpg", "4002344_02.jpg", "4002344_03.jpg", "4002344_04.jpg", "4002344_05.jpg", "4002344_06.jpg", "4002344_07.jpg", "4002344_08.jpg", "4002344_09.jpg", "4002344_10.jpg", "4002344_11.jpg", "4002344_12.jpg", "4002344_13.jpg", "4002344_14.jpg", "4002344_15.jpg" ]
Talking two peoples while they are laughing
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002344.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 \"Talking two peoples while they are 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: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2001777
[ "2001777_00.jpg", "2001777_01.jpg", "2001777_02.jpg", "2001777_03.jpg", "2001777_04.jpg", "2001777_05.jpg", "2001777_06.jpg", "2001777_07.jpg", "2001777_08.jpg", "2001777_09.jpg", "2001777_10.jpg", "2001777_11.jpg", "2001777_12.jpg", "2001777_13.jpg", "2001777_14.jpg", "2001777_15.jpg" ]
rock music scene with the crowd fighting
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001777.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 \"rock music scene with the crowd fighting\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
1006109
[ "1006109_00.jpg", "1006109_01.jpg", "1006109_02.jpg", "1006109_03.jpg", "1006109_04.jpg", "1006109_05.jpg", "1006109_06.jpg", "1006109_07.jpg", "1006109_08.jpg", "1006109_09.jpg", "1006109_10.jpg", "1006109_11.jpg", "1006109_12.jpg", "1006109_13.jpg", "1006109_14.jpg", "1006109_15.jpg" ]
a giant lion moving towards deer in a deep forest , greenery around there , high tall trees , three deers and one lion , the lion is very scary and huge
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006109.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 giant lion moving towards deer in a deep forest , greenery around there , high tall trees , three deers and one lion , the lion is very scary and huge\",\nall the 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" } ]
3002423
[ "3002423_00.jpg", "3002423_01.jpg", "3002423_02.jpg", "3002423_03.jpg", "3002423_04.jpg", "3002423_05.jpg", "3002423_06.jpg", "3002423_07.jpg", "3002423_08.jpg", "3002423_09.jpg", "3002423_10.jpg", "3002423_11.jpg", "3002423_12.jpg", "3002423_13.jpg", "3002423_14.jpg", "3002423_15.jpg" ]
ukrainian village couple of 19 century hugging near the house, video
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002423.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 \"ukrainian village couple of 19 century hugging near the house, video\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
4003976
[ "4003976_00.jpg", "4003976_01.jpg", "4003976_02.jpg", "4003976_03.jpg", "4003976_04.jpg", "4003976_05.jpg", "4003976_06.jpg", "4003976_07.jpg", "4003976_08.jpg", "4003976_09.jpg", "4003976_10.jpg", "4003976_11.jpg", "4003976_12.jpg", "4003976_13.jpg", "4003976_14.jpg", "4003976_15.jpg" ]
pirate boy, standing on harbour, waving his hand to the camera, pixar studio style, 4k
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003976.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 \"pirate boy, standing on harbour, waving his hand to the camera, pixar studio style, 4k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
1000462
[ "1000462_00.jpg", "1000462_01.jpg", "1000462_02.jpg", "1000462_03.jpg", "1000462_04.jpg", "1000462_05.jpg", "1000462_06.jpg", "1000462_07.jpg", "1000462_08.jpg", "1000462_09.jpg", "1000462_10.jpg", "1000462_11.jpg", "1000462_12.jpg", "1000462_13.jpg", "1000462_14.jpg", "1000462_15.jpg" ]
From a tender age, the princess displayed an insatiable thirst for knowledge. Surrounded by books and scrolls, she eagerly absorbed every lesson her tutors imparted, her curiosity guiding her towards a deeper understanding of the world around her.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000462.mp4
1
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3
0
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[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"From a tender age, the princess displayed an insatiable thirst for knowledge. Surrounded by books and scrolls, she eagerly absorbed every lesson her tutors imparted, her curiosity guiding her towards a deeper understanding of the world around her.\",\nall the 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" } ]
4000098
[ "4000098_00.jpg", "4000098_01.jpg", "4000098_02.jpg", "4000098_03.jpg", "4000098_04.jpg", "4000098_05.jpg", "4000098_06.jpg", "4000098_07.jpg", "4000098_08.jpg", "4000098_09.jpg", "4000098_10.jpg", "4000098_11.jpg", "4000098_12.jpg", "4000098_13.jpg", "4000098_14.jpg", "4000098_15.jpg" ]
there is a skeleton ring leader in a black uniform
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000098.mp4
2
2
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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 \"there is a skeleton ring leader in a black uniform\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
3000958
[ "3000958_00.jpg", "3000958_01.jpg", "3000958_02.jpg", "3000958_03.jpg", "3000958_04.jpg", "3000958_05.jpg", "3000958_06.jpg", "3000958_07.jpg", "3000958_08.jpg", "3000958_09.jpg", "3000958_10.jpg", "3000958_11.jpg", "3000958_12.jpg", "3000958_13.jpg", "3000958_14.jpg", "3000958_15.jpg" ]
Birds and squirrels sitting on the branches
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000958.mp4
2
2
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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 \"Birds and squirrels sitting on the branches\",\nall the 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" } ]
3001230
[ "3001230_00.jpg", "3001230_01.jpg", "3001230_02.jpg", "3001230_03.jpg", "3001230_04.jpg", "3001230_05.jpg", "3001230_06.jpg", "3001230_07.jpg", "3001230_08.jpg", "3001230_09.jpg", "3001230_10.jpg", "3001230_11.jpg", "3001230_12.jpg", "3001230_13.jpg", "3001230_14.jpg", "3001230_15.jpg" ]
a dancing cyborg, HR Giger art style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001230.mp4
2
2
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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 dancing cyborg, HR Giger 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: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
7004153
[ "7004153_00.jpg", "7004153_01.jpg", "7004153_02.jpg", "7004153_03.jpg", "7004153_04.jpg", "7004153_05.jpg", "7004153_06.jpg", "7004153_07.jpg" ]
The great battle of the light host, against the fiends of hell
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004153.mp4
2
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The great battle of the light host, against the fiends of hell\",\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" } ]
2002920
[ "2002920_00.jpg", "2002920_01.jpg", "2002920_02.jpg", "2002920_03.jpg", "2002920_04.jpg", "2002920_05.jpg", "2002920_06.jpg", "2002920_07.jpg", "2002920_08.jpg", "2002920_09.jpg", "2002920_10.jpg", "2002920_11.jpg", "2002920_12.jpg", "2002920_13.jpg", "2002920_14.jpg", "2002920_15.jpg" ]
office workers in call centre, producing music on computers with ableton, synthesizers on the desks, man wearing headphones singing into a microphone, shot on kodak vision3 500T, diorama, futuristic, ar 9:16, cinematic hd, 4K
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002920.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 \"office workers in call centre, producing music on computers with ableton, synthesizers on the desks, man wearing headphones singing into a microphone, shot on kodak vision3 500T, diorama, futuristic, ar 9:16, cinematic hd, 4K\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6001638
[ "6001638_00.jpg", "6001638_01.jpg", "6001638_02.jpg", "6001638_03.jpg", "6001638_04.jpg", "6001638_05.jpg", "6001638_06.jpg", "6001638_07.jpg", "6001638_08.jpg", "6001638_09.jpg", "6001638_10.jpg", "6001638_11.jpg", "6001638_12.jpg", "6001638_13.jpg", "6001638_14.jpg", "6001638_15.jpg" ]
fade in. Four armed shiva, blue skin, trident in one hand, damaraja in the other hand.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001638.mp4
1
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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 \"fade in. Four armed shiva, blue skin, trident in one hand, damaraja in the other hand.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6003665
[ "6003665_00.jpg", "6003665_01.jpg", "6003665_02.jpg", "6003665_03.jpg", "6003665_04.jpg", "6003665_05.jpg", "6003665_06.jpg", "6003665_07.jpg", "6003665_08.jpg", "6003665_09.jpg", "6003665_10.jpg", "6003665_11.jpg", "6003665_12.jpg", "6003665_13.jpg", "6003665_14.jpg", "6003665_15.jpg" ]
Show the mystical forest, the boy walking and singing.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003665.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 \"Show the mystical forest, the boy walking and singing.\",\nall the 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" } ]
5000663
[ "5000663_00.jpg", "5000663_01.jpg", "5000663_02.jpg", "5000663_03.jpg", "5000663_04.jpg", "5000663_05.jpg", "5000663_06.jpg", "5000663_07.jpg", "5000663_08.jpg", "5000663_09.jpg", "5000663_10.jpg", "5000663_11.jpg", "5000663_12.jpg", "5000663_13.jpg", "5000663_14.jpg", "5000663_15.jpg" ]
man walking towards camera wearing a black backpack
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000663.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 \"man walking towards camera wearing a black backpack\",\nall the 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" } ]
4003765
[ "4003765_00.jpg", "4003765_01.jpg", "4003765_02.jpg", "4003765_03.jpg", "4003765_04.jpg", "4003765_05.jpg", "4003765_06.jpg", "4003765_07.jpg", "4003765_08.jpg", "4003765_09.jpg", "4003765_10.jpg", "4003765_11.jpg", "4003765_12.jpg", "4003765_13.jpg", "4003765_14.jpg", "4003765_15.jpg" ]
a spaceship is flying near jupier while facing meteor rains.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003765.mp4
1
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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 spaceship is flying near jupier while facing meteor rains.\",\nall the 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" } ]
4004102
[ "4004102_00.jpg", "4004102_01.jpg", "4004102_02.jpg", "4004102_03.jpg", "4004102_04.jpg", "4004102_05.jpg", "4004102_06.jpg", "4004102_07.jpg", "4004102_08.jpg", "4004102_09.jpg", "4004102_10.jpg", "4004102_11.jpg", "4004102_12.jpg", "4004102_13.jpg", "4004102_14.jpg", "4004102_15.jpg" ]
Planet exploding due to titan humanoid erupting from planets core
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004102.mp4
2
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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 \"Planet exploding due to titan humanoid erupting from planets core\",\nall the 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" } ]
3001153
[ "3001153_00.jpg", "3001153_01.jpg", "3001153_02.jpg", "3001153_03.jpg", "3001153_04.jpg", "3001153_05.jpg", "3001153_06.jpg", "3001153_07.jpg", "3001153_08.jpg", "3001153_09.jpg", "3001153_10.jpg", "3001153_11.jpg", "3001153_12.jpg", "3001153_13.jpg", "3001153_14.jpg", "3001153_15.jpg" ]
A hyperdrive tunnel of fractal patterns and neon colors, blurring the line between reality and digital space.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001153.mp4
2
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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 hyperdrive tunnel of fractal patterns and neon colors, blurring the line between reality and digital space.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
6001198
[ "6001198_00.jpg", "6001198_01.jpg", "6001198_02.jpg", "6001198_03.jpg", "6001198_04.jpg", "6001198_05.jpg", "6001198_06.jpg", "6001198_07.jpg", "6001198_08.jpg", "6001198_09.jpg", "6001198_10.jpg", "6001198_11.jpg", "6001198_12.jpg", "6001198_13.jpg", "6001198_14.jpg", "6001198_15.jpg" ]
opening The Holy Bible on a wooden desk as pages open, Holy Spirit shining illuminance glows, sparkling above, cinematic motion, time lapse high speed, realistic, zooming in
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001198.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 \"opening The Holy Bible on a wooden desk as pages open, Holy Spirit shining illuminance glows, sparkling above, cinematic motion, time lapse high speed, realistic, zooming in\",\nall the 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" } ]
1002060
[ "1002060_00.jpg", "1002060_01.jpg", "1002060_02.jpg", "1002060_03.jpg", "1002060_04.jpg", "1002060_05.jpg", "1002060_06.jpg", "1002060_07.jpg", "1002060_08.jpg", "1002060_09.jpg", "1002060_10.jpg", "1002060_11.jpg", "1002060_12.jpg", "1002060_13.jpg", "1002060_14.jpg", "1002060_15.jpg" ]
No prompt
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002060.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 \"No prompt\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1003854
[ "1003854_00.jpg", "1003854_01.jpg", "1003854_02.jpg", "1003854_03.jpg", "1003854_04.jpg", "1003854_05.jpg", "1003854_06.jpg", "1003854_07.jpg", "1003854_08.jpg", "1003854_09.jpg", "1003854_10.jpg", "1003854_11.jpg", "1003854_12.jpg", "1003854_13.jpg", "1003854_14.jpg", "1003854_15.jpg" ]
An astronaut is floating outside the ISS towards a laptop computer
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003854.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 \"An astronaut is floating outside the ISS towards a laptop computer\",\nall the 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" } ]
9000415
[ "9000415_00.jpg", "9000415_01.jpg", "9000415_02.jpg", "9000415_03.jpg", "9000415_04.jpg", "9000415_05.jpg", "9000415_06.jpg", "9000415_07.jpg", "9000415_08.jpg", "9000415_09.jpg", "9000415_10.jpg", "9000415_11.jpg", "9000415_12.jpg", "9000415_13.jpg", "9000415_14.jpg", "9000415_15.jpg", "9000415_16.jpg", "9000415_17.jpg", "9000415_18.jpg", "9000415_19.jpg", "9000415_20.jpg", "9000415_21.jpg", "9000415_22.jpg", "9000415_23.jpg" ]
a girl is sitting inside the bus seeing a boy playing with his brother and sister outside
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000415.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a girl is sitting inside the bus seeing a boy playing with his brother and sister outside\",\nall the 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" } ]
7001855
[ "7001855_00.jpg", "7001855_01.jpg", "7001855_02.jpg", "7001855_03.jpg", "7001855_04.jpg", "7001855_05.jpg", "7001855_06.jpg", "7001855_07.jpg" ]
show me what the graphics for FIFA 2050 could look like
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001855.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 \"show me what the graphics for FIFA 2050 could look like\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
2006008
[ "2006008_00.jpg", "2006008_01.jpg", "2006008_02.jpg", "2006008_03.jpg", "2006008_04.jpg", "2006008_05.jpg", "2006008_06.jpg", "2006008_07.jpg", "2006008_08.jpg", "2006008_09.jpg", "2006008_10.jpg", "2006008_11.jpg", "2006008_12.jpg", "2006008_13.jpg", "2006008_14.jpg", "2006008_15.jpg" ]
Generate a macaw standing on an eurasian lynx
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006008.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 \"Generate a macaw standing on an eurasian lynx\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
7001930
[ "7001930_00.jpg", "7001930_01.jpg", "7001930_02.jpg", "7001930_03.jpg", "7001930_04.jpg", "7001930_05.jpg", "7001930_06.jpg", "7001930_07.jpg" ]
vaporwave on a crt tv, perfect loop
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001930.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 \"vaporwave on a crt tv, perfect loop\",\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" } ]
1002049
[ "1002049_00.jpg", "1002049_01.jpg", "1002049_02.jpg", "1002049_03.jpg", "1002049_04.jpg", "1002049_05.jpg", "1002049_06.jpg", "1002049_07.jpg", "1002049_08.jpg", "1002049_09.jpg", "1002049_10.jpg", "1002049_11.jpg", "1002049_12.jpg", "1002049_13.jpg", "1002049_14.jpg", "1002049_15.jpg" ]
an orange cat
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002049.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 orange cat\",\nall the 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" } ]
7003191
[ "7003191_00.jpg", "7003191_01.jpg", "7003191_02.jpg", "7003191_03.jpg", "7003191_04.jpg", "7003191_05.jpg", "7003191_06.jpg", "7003191_07.jpg" ]
cinematic Einstein sitting in his office chair watching a rocket launch on his QLED 4k tv
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003191.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 \"cinematic Einstein sitting in his office chair watching a rocket launch on his QLED 4k tv\",\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" } ]
8002019
[ "8002019_00.jpg", "8002019_01.jpg", "8002019_02.jpg", "8002019_03.jpg", "8002019_04.jpg", "8002019_05.jpg", "8002019_06.jpg", "8002019_07.jpg", "8002019_08.jpg", "8002019_09.jpg", "8002019_10.jpg", "8002019_11.jpg", "8002019_12.jpg", "8002019_13.jpg", "8002019_14.jpg", "8002019_15.jpg", "8002019_16.jpg", "8002019_17.jpg", "8002019_18.jpg", "8002019_19.jpg", "8002019_20.jpg", "8002019_21.jpg", "8002019_22.jpg", "8002019_23.jpg" ]
metallica dress as mariachin playing guitars ina mexican party, cake, conffetis, dance, people
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002019.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 \"metallica dress as mariachin playing guitars ina mexican party, cake, conffetis, dance, people\",\nall the 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" } ]
s000412
[ "s000412_00.jpg", "s000412_01.jpg", "s000412_02.jpg", "s000412_03.jpg", "s000412_04.jpg", "s000412_05.jpg", "s000412_06.jpg", "s000412_07.jpg", "s000412_08.jpg", "s000412_09.jpg", "s000412_10.jpg", "s000412_11.jpg", "s000412_12.jpg", "s000412_13.jpg", "s000412_14.jpg", "s000412_15.jpg", "s000412_16.jpg", "s000412_17.jpg", "s000412_18.jpg", "s000412_19.jpg" ]
a fierce looking dragon open eyes in a sudden
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000412.mp4
4
4
4
0
4
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a fierce looking dragon open eyes in a sudden\",\nall the 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" } ]
6001605
[ "6001605_00.jpg", "6001605_01.jpg", "6001605_02.jpg", "6001605_03.jpg", "6001605_04.jpg", "6001605_05.jpg", "6001605_06.jpg", "6001605_07.jpg", "6001605_08.jpg", "6001605_09.jpg", "6001605_10.jpg", "6001605_11.jpg", "6001605_12.jpg", "6001605_13.jpg", "6001605_14.jpg", "6001605_15.jpg" ]
3 cats walking at sunset, city landscape, ulta wide angle, dolly shot left, pan left, cat look behind, black cat, white cat , orange cat
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001605.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 \"3 cats walking at sunset, city landscape, ulta wide angle, dolly shot left, pan left, cat look behind, black cat, white cat , orange cat\",\nall the 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" } ]
3002024
[ "3002024_00.jpg", "3002024_01.jpg", "3002024_02.jpg", "3002024_03.jpg", "3002024_04.jpg", "3002024_05.jpg", "3002024_06.jpg", "3002024_07.jpg", "3002024_08.jpg", "3002024_09.jpg", "3002024_10.jpg", "3002024_11.jpg", "3002024_12.jpg", "3002024_13.jpg", "3002024_14.jpg", "3002024_15.jpg" ]
a man is drinking a liquid out of a magic bottle
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002024.mp4
2
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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 man is drinking a liquid out of a magic bottle\",\nall the 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" } ]
1004875
[ "1004875_00.jpg", "1004875_01.jpg", "1004875_02.jpg", "1004875_03.jpg", "1004875_04.jpg", "1004875_05.jpg", "1004875_06.jpg", "1004875_07.jpg", "1004875_08.jpg", "1004875_09.jpg", "1004875_10.jpg", "1004875_11.jpg", "1004875_12.jpg", "1004875_13.jpg", "1004875_14.jpg", "1004875_15.jpg" ]
fast paced experimental film by Stan Brakhage
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004875.mp4
1
1
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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 \"fast paced experimental film by Stan Brakhage\",\nall the 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" } ]
2001852
[ "2001852_00.jpg", "2001852_01.jpg", "2001852_02.jpg", "2001852_03.jpg", "2001852_04.jpg", "2001852_05.jpg", "2001852_06.jpg", "2001852_07.jpg", "2001852_08.jpg", "2001852_09.jpg", "2001852_10.jpg", "2001852_11.jpg", "2001852_12.jpg", "2001852_13.jpg", "2001852_14.jpg", "2001852_15.jpg" ]
A velociraptor on top of a shark throwing bazookas at some seagulls with 4x4 motorcycles on top of a burning ramp along with some demons and some students with some weights next to them and a giant TV at their side.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001852.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 velociraptor on top of a shark throwing bazookas at some seagulls with 4x4 motorcycles on top of a burning ramp along with some demons and some students with some weights next to them and a giant TV at their side.\",\nall the 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" } ]
1004844
[ "1004844_00.jpg", "1004844_01.jpg", "1004844_02.jpg", "1004844_03.jpg", "1004844_04.jpg", "1004844_05.jpg", "1004844_06.jpg", "1004844_07.jpg", "1004844_08.jpg", "1004844_09.jpg", "1004844_10.jpg", "1004844_11.jpg", "1004844_12.jpg", "1004844_13.jpg", "1004844_14.jpg", "1004844_15.jpg" ]
sound meter going up and down
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004844.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 \"sound meter going up and down\",\nall the 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" } ]
3002389
[ "3002389_00.jpg", "3002389_01.jpg", "3002389_02.jpg", "3002389_03.jpg", "3002389_04.jpg", "3002389_05.jpg", "3002389_06.jpg", "3002389_07.jpg", "3002389_08.jpg", "3002389_09.jpg", "3002389_10.jpg", "3002389_11.jpg", "3002389_12.jpg", "3002389_13.jpg", "3002389_14.jpg", "3002389_15.jpg" ]
Amidst the chaos and carnage, there are moments of humanity, reminders of the shared bonds of human compassion
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002389.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 \"Amidst the chaos and carnage, there are moments of humanity, reminders of the shared bonds of human compassion\",\nall the 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" } ]
1002497
[ "1002497_00.jpg", "1002497_01.jpg", "1002497_02.jpg", "1002497_03.jpg", "1002497_04.jpg", "1002497_05.jpg", "1002497_06.jpg", "1002497_07.jpg", "1002497_08.jpg", "1002497_09.jpg", "1002497_10.jpg", "1002497_11.jpg", "1002497_12.jpg", "1002497_13.jpg", "1002497_14.jpg", "1002497_15.jpg" ]
an African council meeting of wise women and men and African generals takes place far from the universe in a galaxy unknown to men approaching a calf in a meeting room and everyone speaks in turn on the strategy and combat
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002497.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 \"an African council meeting of wise women and men and African generals takes place far from the universe in a galaxy unknown to men approaching a calf in a meeting room and everyone speaks in turn on the strategy and combat\",\nall the 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" } ]
2001557
[ "2001557_00.jpg", "2001557_01.jpg", "2001557_02.jpg", "2001557_03.jpg", "2001557_04.jpg", "2001557_05.jpg", "2001557_06.jpg", "2001557_07.jpg", "2001557_08.jpg", "2001557_09.jpg", "2001557_10.jpg", "2001557_11.jpg", "2001557_12.jpg", "2001557_13.jpg", "2001557_14.jpg", "2001557_15.jpg" ]
a green glowing sea monster emerging from the ocean at night
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001557.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 green glowing sea monster emerging from the ocean 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: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
7001039
[ "7001039_00.jpg", "7001039_01.jpg", "7001039_02.jpg", "7001039_03.jpg", "7001039_04.jpg", "7001039_05.jpg", "7001039_06.jpg", "7001039_07.jpg" ]
alone is the woods at night, moonlight, anime girl
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001039.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 \"alone is the woods at night, moonlight, anime girl\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
8000401
[ "8000401_00.jpg", "8000401_01.jpg", "8000401_02.jpg", "8000401_03.jpg", "8000401_04.jpg", "8000401_05.jpg", "8000401_06.jpg", "8000401_07.jpg", "8000401_08.jpg", "8000401_09.jpg", "8000401_10.jpg", "8000401_11.jpg", "8000401_12.jpg", "8000401_13.jpg", "8000401_14.jpg", "8000401_15.jpg", "8000401_16.jpg", "8000401_17.jpg", "8000401_18.jpg", "8000401_19.jpg", "8000401_20.jpg", "8000401_21.jpg", "8000401_22.jpg", "8000401_23.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/8/8000401.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 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> <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" } ]
6001429
[ "6001429_00.jpg", "6001429_01.jpg", "6001429_02.jpg", "6001429_03.jpg", "6001429_04.jpg", "6001429_05.jpg", "6001429_06.jpg", "6001429_07.jpg", "6001429_08.jpg", "6001429_09.jpg", "6001429_10.jpg", "6001429_11.jpg", "6001429_12.jpg", "6001429_13.jpg", "6001429_14.jpg", "6001429_15.jpg" ]
people fighting over cheeseburgers in a bathroom
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001429.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 \"people fighting over cheeseburgers in a bathroom\",\nall the 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" } ]
3003428
[ "3003428_00.jpg", "3003428_01.jpg", "3003428_02.jpg", "3003428_03.jpg", "3003428_04.jpg", "3003428_05.jpg", "3003428_06.jpg", "3003428_07.jpg", "3003428_08.jpg", "3003428_09.jpg", "3003428_10.jpg", "3003428_11.jpg", "3003428_12.jpg", "3003428_13.jpg", "3003428_14.jpg", "3003428_15.jpg" ]
view of a sleepy rainy evening from inside of an urban boho inspired bedroom window with coffee sitting on a desk with a laptop playing music. neon signs glow from outside the window. color scheme dark blues, magentas, purples. simple loopable activity.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3003428.mp4
2
3
2
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"view of a sleepy rainy evening from inside of an urban boho inspired bedroom window with coffee sitting on a desk with a laptop playing music. neon signs glow from outside the window. color scheme dark blues, magentas, purples. simple loopable activity.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
s000714
[ "s000714_00.jpg", "s000714_01.jpg", "s000714_02.jpg", "s000714_03.jpg", "s000714_04.jpg", "s000714_05.jpg", "s000714_06.jpg", "s000714_07.jpg", "s000714_08.jpg", "s000714_09.jpg", "s000714_10.jpg", "s000714_11.jpg", "s000714_12.jpg", "s000714_13.jpg", "s000714_14.jpg", "s000714_15.jpg", "s000714_16.jpg", "s000714_17.jpg", "s000714_18.jpg", "s000714_19.jpg" ]
1940s cinema scene of a woman brushing her hair in the mirror
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000714.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 \"1940s cinema scene of a woman brushing her hair in the mirror\",\nall the 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" } ]
8002194
[ "8002194_00.jpg", "8002194_01.jpg", "8002194_02.jpg", "8002194_03.jpg", "8002194_04.jpg", "8002194_05.jpg", "8002194_06.jpg", "8002194_07.jpg", "8002194_08.jpg", "8002194_09.jpg", "8002194_10.jpg", "8002194_11.jpg", "8002194_12.jpg", "8002194_13.jpg", "8002194_14.jpg", "8002194_15.jpg", "8002194_16.jpg", "8002194_17.jpg", "8002194_18.jpg", "8002194_19.jpg", "8002194_20.jpg", "8002194_21.jpg", "8002194_22.jpg", "8002194_23.jpg" ]
nighttime footage of a hermit crab using an incandescent lightbulb as its shell
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002194.mp4
2
2
2
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"nighttime footage of a hermit crab using an incandescent lightbulb as its shell\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3002019
[ "3002019_00.jpg", "3002019_01.jpg", "3002019_02.jpg", "3002019_03.jpg", "3002019_04.jpg", "3002019_05.jpg", "3002019_06.jpg", "3002019_07.jpg", "3002019_08.jpg", "3002019_09.jpg", "3002019_10.jpg", "3002019_11.jpg", "3002019_12.jpg", "3002019_13.jpg", "3002019_14.jpg", "3002019_15.jpg" ]
On the surface of the cement, there are grooves carved with the number 9, in which ants crawl
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002019.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 \"On the surface of the cement, there are grooves carved with the number 9, in which ants crawl\",\nall the 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" } ]
4001013
[ "4001013_00.jpg", "4001013_01.jpg", "4001013_02.jpg", "4001013_03.jpg", "4001013_04.jpg", "4001013_05.jpg", "4001013_06.jpg", "4001013_07.jpg", "4001013_08.jpg", "4001013_09.jpg", "4001013_10.jpg", "4001013_11.jpg", "4001013_12.jpg", "4001013_13.jpg", "4001013_14.jpg", "4001013_15.jpg" ]
An ominous red cube floating over the New york City skyline
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001013.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 \"An ominous red cube floating over the New york City skyline\",\nall the 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" } ]
5000996
[ "5000996_00.jpg", "5000996_01.jpg", "5000996_02.jpg", "5000996_03.jpg", "5000996_04.jpg", "5000996_05.jpg", "5000996_06.jpg", "5000996_07.jpg", "5000996_08.jpg", "5000996_09.jpg", "5000996_10.jpg", "5000996_11.jpg", "5000996_12.jpg", "5000996_13.jpg", "5000996_14.jpg", "5000996_15.jpg" ]
white round pills falling in purple room
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000996.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 \"white round pills falling in purple room\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
7001480
[ "7001480_00.jpg", "7001480_01.jpg", "7001480_02.jpg", "7001480_03.jpg", "7001480_04.jpg", "7001480_05.jpg", "7001480_06.jpg", "7001480_07.jpg" ]
A 6 year old boy gets a diaper change
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001480.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 6 year old boy gets a diaper change\",\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" } ]
2001620
[ "2001620_00.jpg", "2001620_01.jpg", "2001620_02.jpg", "2001620_03.jpg", "2001620_04.jpg", "2001620_05.jpg", "2001620_06.jpg", "2001620_07.jpg", "2001620_08.jpg", "2001620_09.jpg", "2001620_10.jpg", "2001620_11.jpg", "2001620_12.jpg", "2001620_13.jpg", "2001620_14.jpg", "2001620_15.jpg" ]
Beautiful italian dinner under candlelight Message: GEORGE FLOYD LOL (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001620.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 \"Beautiful italian dinner under candlelight Message: GEORGE FLOYD LOL (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: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
1002578
[ "1002578_00.jpg", "1002578_01.jpg", "1002578_02.jpg", "1002578_03.jpg", "1002578_04.jpg", "1002578_05.jpg", "1002578_06.jpg", "1002578_07.jpg", "1002578_08.jpg", "1002578_09.jpg", "1002578_10.jpg", "1002578_11.jpg", "1002578_12.jpg", "1002578_13.jpg", "1002578_14.jpg", "1002578_15.jpg" ]
a man standing in the mirror but his reflection is a different person, 3d cartoon style, cinematic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002578.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a man standing in the mirror but his reflection is a different person, 3d cartoon style, cinematic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
5001257
[ "5001257_00.jpg", "5001257_01.jpg", "5001257_02.jpg", "5001257_03.jpg", "5001257_04.jpg", "5001257_05.jpg", "5001257_06.jpg", "5001257_07.jpg", "5001257_08.jpg", "5001257_09.jpg", "5001257_10.jpg", "5001257_11.jpg", "5001257_12.jpg", "5001257_13.jpg", "5001257_14.jpg", "5001257_15.jpg" ]
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001257.mp4
2
3
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
7002015
[ "7002015_00.jpg", "7002015_01.jpg", "7002015_02.jpg", "7002015_03.jpg", "7002015_04.jpg", "7002015_05.jpg", "7002015_06.jpg", "7002015_07.jpg" ]
bird with turbines in a race over a Speedway while raining fairy powder
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002015.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 \"bird with turbines in a race over a Speedway while raining fairy powder\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
0002394
[ "0002394_00.jpg", "0002394_01.jpg", "0002394_02.jpg", "0002394_03.jpg", "0002394_04.jpg", "0002394_05.jpg", "0002394_06.jpg", "0002394_07.jpg", "0002394_08.jpg", "0002394_09.jpg", "0002394_10.jpg", "0002394_11.jpg", "0002394_12.jpg", "0002394_13.jpg", "0002394_14.jpg", "0002394_15.jpg", "0002394_16.jpg", "0002394_17.jpg", "0002394_18.jpg", "0002394_19.jpg", "0002394_20.jpg", "0002394_21.jpg", "0002394_22.jpg", "0002394_23.jpg" ]
Big Ben in the fading light with sun setting and some movement
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002394.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 \"Big Ben in the fading light with sun setting and some movement\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
5001222
[ "5001222_00.jpg", "5001222_01.jpg", "5001222_02.jpg", "5001222_03.jpg", "5001222_04.jpg", "5001222_05.jpg", "5001222_06.jpg", "5001222_07.jpg", "5001222_08.jpg", "5001222_09.jpg", "5001222_10.jpg", "5001222_11.jpg", "5001222_12.jpg", "5001222_13.jpg", "5001222_14.jpg", "5001222_15.jpg" ]
Kids happy happy living in village with their parents
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001222.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 \"Kids happy happy living in village with their parents\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1001983
[ "1001983_00.jpg", "1001983_01.jpg", "1001983_02.jpg", "1001983_03.jpg", "1001983_04.jpg", "1001983_05.jpg", "1001983_06.jpg", "1001983_07.jpg", "1001983_08.jpg", "1001983_09.jpg", "1001983_10.jpg", "1001983_11.jpg", "1001983_12.jpg", "1001983_13.jpg", "1001983_14.jpg", "1001983_15.jpg" ]
Medical devices being used to help patients
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001983.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 \"Medical devices being used to help patients\",\nall the 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" } ]
4001669
[ "4001669_00.jpg", "4001669_01.jpg", "4001669_02.jpg", "4001669_03.jpg", "4001669_04.jpg", "4001669_05.jpg", "4001669_06.jpg", "4001669_07.jpg", "4001669_08.jpg", "4001669_09.jpg", "4001669_10.jpg", "4001669_11.jpg", "4001669_12.jpg", "4001669_13.jpg", "4001669_14.jpg", "4001669_15.jpg" ]
underwater laboratory in the style of Stranger Things with one realistic looking orca whale hooked up to testing equipment, it’s a telepathic whale and its face morphs in to a humanoid, blue alien being. Lots of little blue flashes going off around
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001669.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 \"underwater laboratory in the style of Stranger Things with one realistic looking orca whale hooked up to testing equipment, it’s a telepathic whale and its face morphs in to a humanoid, blue alien being. Lots of little blue flashes going off around\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
s000126
[ "s000126_00.jpg", "s000126_01.jpg", "s000126_02.jpg", "s000126_03.jpg", "s000126_04.jpg", "s000126_05.jpg", "s000126_06.jpg", "s000126_07.jpg", "s000126_08.jpg", "s000126_09.jpg", "s000126_10.jpg", "s000126_11.jpg", "s000126_12.jpg", "s000126_13.jpg", "s000126_14.jpg", "s000126_15.jpg", "s000126_16.jpg", "s000126_17.jpg", "s000126_18.jpg", "s000126_19.jpg" ]
cartoon snow man on a hill, snow falling
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000126.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 \"cartoon snow man on a hill, snow falling\",\nall the 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" } ]
8002269
[ "8002269_00.jpg", "8002269_01.jpg", "8002269_02.jpg", "8002269_03.jpg", "8002269_04.jpg", "8002269_05.jpg", "8002269_06.jpg", "8002269_07.jpg", "8002269_08.jpg", "8002269_09.jpg", "8002269_10.jpg", "8002269_11.jpg", "8002269_12.jpg", "8002269_13.jpg", "8002269_14.jpg", "8002269_15.jpg", "8002269_16.jpg", "8002269_17.jpg", "8002269_18.jpg", "8002269_19.jpg", "8002269_20.jpg", "8002269_21.jpg", "8002269_22.jpg", "8002269_23.jpg" ]
a princess in an 80s fantasy movie style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002269.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 princess in an 80s fantasy movie style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
8001936
[ "8001936_00.jpg", "8001936_01.jpg", "8001936_02.jpg", "8001936_03.jpg", "8001936_04.jpg", "8001936_05.jpg", "8001936_06.jpg", "8001936_07.jpg", "8001936_08.jpg", "8001936_09.jpg", "8001936_10.jpg", "8001936_11.jpg", "8001936_12.jpg", "8001936_13.jpg", "8001936_14.jpg", "8001936_15.jpg", "8001936_16.jpg", "8001936_17.jpg", "8001936_18.jpg", "8001936_19.jpg", "8001936_20.jpg", "8001936_21.jpg", "8001936_22.jpg", "8001936_23.jpg" ]
Animation picture of fox moving in jungle for searching food
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001936.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 \"Animation picture of fox moving in jungle for searching food\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
1000953
[ "1000953_00.jpg", "1000953_01.jpg", "1000953_02.jpg", "1000953_03.jpg", "1000953_04.jpg", "1000953_05.jpg", "1000953_06.jpg", "1000953_07.jpg", "1000953_08.jpg", "1000953_09.jpg", "1000953_10.jpg", "1000953_11.jpg", "1000953_12.jpg", "1000953_13.jpg", "1000953_14.jpg", "1000953_15.jpg" ]
A glimpse of a terrifying creature lurking in the shadows
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000953.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 glimpse of a terrifying creature lurking in the shadows\",\nall the 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" } ]