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7
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947
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89
89
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int64
1
4
temporal consistency
int64
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int64
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8003252
[ "8003252_00.jpg", "8003252_01.jpg", "8003252_02.jpg", "8003252_03.jpg", "8003252_04.jpg", "8003252_05.jpg", "8003252_06.jpg", "8003252_07.jpg", "8003252_08.jpg", "8003252_09.jpg", "8003252_10.jpg", "8003252_11.jpg", "8003252_12.jpg", "8003252_13.jpg", "8003252_14.jpg", "8003252_15.jpg", "8003252_16.jpg", "8003252_17.jpg", "8003252_18.jpg", "8003252_19.jpg", "8003252_20.jpg", "8003252_21.jpg", "8003252_22.jpg", "8003252_23.jpg" ]
gold in the air of summer
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003252.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 \"gold in the air of summer\",\nall the 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" } ]
7001046
[ "7001046_00.jpg", "7001046_01.jpg", "7001046_02.jpg", "7001046_03.jpg", "7001046_04.jpg", "7001046_05.jpg", "7001046_06.jpg", "7001046_07.jpg" ]
ocean spirals on coastal sand Message: Euphoria (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001046.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 \"ocean spirals on coastal sand Message: Euphoria (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" } ]
2002897
[ "2002897_00.jpg", "2002897_01.jpg", "2002897_02.jpg", "2002897_03.jpg", "2002897_04.jpg", "2002897_05.jpg", "2002897_06.jpg", "2002897_07.jpg", "2002897_08.jpg", "2002897_09.jpg", "2002897_10.jpg", "2002897_11.jpg", "2002897_12.jpg", "2002897_13.jpg", "2002897_14.jpg", "2002897_15.jpg" ]
A clip of a bird holding a leaf and walking quickly
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002897.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 clip of a bird holding a leaf and walking quickly\",\nall the frames of video are as 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" } ]
1001014
[ "1001014_00.jpg", "1001014_01.jpg", "1001014_02.jpg", "1001014_03.jpg", "1001014_04.jpg", "1001014_05.jpg", "1001014_06.jpg", "1001014_07.jpg", "1001014_08.jpg", "1001014_09.jpg", "1001014_10.jpg", "1001014_11.jpg", "1001014_12.jpg", "1001014_13.jpg", "1001014_14.jpg", "1001014_15.jpg" ]
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001014.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 \"\",\nall the frames of video are as 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" } ]
0005435
[ "0005435_00.jpg", "0005435_01.jpg", "0005435_02.jpg", "0005435_03.jpg", "0005435_04.jpg", "0005435_05.jpg", "0005435_06.jpg", "0005435_07.jpg", "0005435_08.jpg", "0005435_09.jpg", "0005435_10.jpg", "0005435_11.jpg", "0005435_12.jpg", "0005435_13.jpg", "0005435_14.jpg", "0005435_15.jpg", "0005435_16.jpg", "0005435_17.jpg", "0005435_18.jpg", "0005435_19.jpg", "0005435_20.jpg", "0005435_21.jpg", "0005435_22.jpg", "0005435_23.jpg" ]
A hero with everything on him.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005435.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 hero with everything on 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> <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" } ]
6000351
[ "6000351_00.jpg", "6000351_01.jpg", "6000351_02.jpg", "6000351_03.jpg", "6000351_04.jpg", "6000351_05.jpg", "6000351_06.jpg", "6000351_07.jpg", "6000351_08.jpg", "6000351_09.jpg", "6000351_10.jpg", "6000351_11.jpg", "6000351_12.jpg", "6000351_13.jpg", "6000351_14.jpg", "6000351_15.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/6/6000351.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 \"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> <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" } ]
0004749
[ "0004749_00.jpg", "0004749_01.jpg", "0004749_02.jpg", "0004749_03.jpg", "0004749_04.jpg", "0004749_05.jpg", "0004749_06.jpg", "0004749_07.jpg", "0004749_08.jpg", "0004749_09.jpg", "0004749_10.jpg", "0004749_11.jpg", "0004749_12.jpg", "0004749_13.jpg", "0004749_14.jpg", "0004749_15.jpg", "0004749_16.jpg", "0004749_17.jpg", "0004749_18.jpg", "0004749_19.jpg", "0004749_20.jpg", "0004749_21.jpg", "0004749_22.jpg", "0004749_23.jpg" ]
humanoid robot sitting on a throne, imposing dominance and respect
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004749.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 \"humanoid robot sitting on a throne, imposing dominance and respect\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1003932
[ "1003932_00.jpg", "1003932_01.jpg", "1003932_02.jpg", "1003932_03.jpg", "1003932_04.jpg", "1003932_05.jpg", "1003932_06.jpg", "1003932_07.jpg", "1003932_08.jpg", "1003932_09.jpg", "1003932_10.jpg", "1003932_11.jpg", "1003932_12.jpg", "1003932_13.jpg", "1003932_14.jpg", "1003932_15.jpg" ]
In the morning light, as the sun rises Our meeting spins a miraculous tale
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003932.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"In the morning light, as the sun rises Our meeting spins a miraculous tale\",\nall the frames of video are as 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" } ]
3000568
[ "3000568_00.jpg", "3000568_01.jpg", "3000568_02.jpg", "3000568_03.jpg", "3000568_04.jpg", "3000568_05.jpg", "3000568_06.jpg", "3000568_07.jpg", "3000568_08.jpg", "3000568_09.jpg", "3000568_10.jpg", "3000568_11.jpg", "3000568_12.jpg", "3000568_13.jpg", "3000568_14.jpg", "3000568_15.jpg" ]
deep water footage raw gold fallen on the ground
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000568.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 \"deep water footage raw gold fallen on the ground\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
2004919
[ "2004919_00.jpg", "2004919_01.jpg", "2004919_02.jpg", "2004919_03.jpg", "2004919_04.jpg", "2004919_05.jpg", "2004919_06.jpg", "2004919_07.jpg", "2004919_08.jpg", "2004919_09.jpg", "2004919_10.jpg", "2004919_11.jpg", "2004919_12.jpg", "2004919_13.jpg", "2004919_14.jpg", "2004919_15.jpg" ]
display a map of the world with someone travelling from canada to Peru, India and Europe
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004919.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 \"display a map of the world with someone travelling from canada to Peru, India and Europe\",\nall the frames of video are as 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" } ]
7000921
[ "7000921_00.jpg", "7000921_01.jpg", "7000921_02.jpg", "7000921_03.jpg", "7000921_04.jpg", "7000921_05.jpg", "7000921_06.jpg", "7000921_07.jpg" ]
Show Guruji, nodding approvingly at Maya, a look of pride in his eyes as he watches her depart, knowing she has left an indelible mark on their world.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000921.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 \"Show Guruji, nodding approvingly at Maya, a look of pride in his eyes as he watches her depart, knowing she has left an indelible mark on their world.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3000803
[ "3000803_00.jpg", "3000803_01.jpg", "3000803_02.jpg", "3000803_03.jpg", "3000803_04.jpg", "3000803_05.jpg", "3000803_06.jpg", "3000803_07.jpg", "3000803_08.jpg", "3000803_09.jpg", "3000803_10.jpg", "3000803_11.jpg", "3000803_12.jpg", "3000803_13.jpg", "3000803_14.jpg", "3000803_15.jpg" ]
a flowing waterfall,made from a descalating staitcase
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000803.mp4
2
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a flowing waterfall,made from a descalating staitcase\",\nall the frames of video are as 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" } ]
4000551
[ "4000551_00.jpg", "4000551_01.jpg", "4000551_02.jpg", "4000551_03.jpg", "4000551_04.jpg", "4000551_05.jpg", "4000551_06.jpg", "4000551_07.jpg", "4000551_08.jpg", "4000551_09.jpg", "4000551_10.jpg", "4000551_11.jpg", "4000551_12.jpg", "4000551_13.jpg", "4000551_14.jpg", "4000551_15.jpg" ]
autumn leaves falling from a big tree
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000551.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 \"autumn leaves falling from a big tree\",\nall the frames of video are as 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" } ]
0001602
[ "0001602_00.jpg", "0001602_01.jpg", "0001602_02.jpg", "0001602_03.jpg", "0001602_04.jpg", "0001602_05.jpg", "0001602_06.jpg", "0001602_07.jpg", "0001602_08.jpg", "0001602_09.jpg", "0001602_10.jpg", "0001602_11.jpg", "0001602_12.jpg", "0001602_13.jpg", "0001602_14.jpg", "0001602_15.jpg", "0001602_16.jpg", "0001602_17.jpg", "0001602_18.jpg", "0001602_19.jpg", "0001602_20.jpg", "0001602_21.jpg", "0001602_22.jpg", "0001602_23.jpg" ]
two handsome young man fighting on the rooftop of the wheel
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001602.mp4
3
3
2
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"two handsome young man fighting on the rooftop of the wheel\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3003675
[ "3003675_00.jpg", "3003675_01.jpg", "3003675_02.jpg", "3003675_03.jpg", "3003675_04.jpg", "3003675_05.jpg", "3003675_06.jpg", "3003675_07.jpg", "3003675_08.jpg", "3003675_09.jpg", "3003675_10.jpg", "3003675_11.jpg", "3003675_12.jpg", "3003675_13.jpg", "3003675_14.jpg", "3003675_15.jpg" ]
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3003675.mp4
2
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
1001233
[ "1001233_00.jpg", "1001233_01.jpg", "1001233_02.jpg", "1001233_03.jpg", "1001233_04.jpg", "1001233_05.jpg", "1001233_06.jpg", "1001233_07.jpg", "1001233_08.jpg", "1001233_09.jpg", "1001233_10.jpg", "1001233_11.jpg", "1001233_12.jpg", "1001233_13.jpg", "1001233_14.jpg", "1001233_15.jpg" ]
girl with bikini runs in a beach while the cloths getting loose
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001233.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 \"girl with bikini\nruns in a beach while the cloths getting loose\",\nall the frames of video are as 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" } ]
0006707
[ "0006707_00.jpg", "0006707_01.jpg", "0006707_02.jpg", "0006707_03.jpg", "0006707_04.jpg", "0006707_05.jpg", "0006707_06.jpg", "0006707_07.jpg", "0006707_08.jpg", "0006707_09.jpg", "0006707_10.jpg", "0006707_11.jpg", "0006707_12.jpg", "0006707_13.jpg", "0006707_14.jpg", "0006707_15.jpg", "0006707_16.jpg", "0006707_17.jpg", "0006707_18.jpg", "0006707_19.jpg", "0006707_20.jpg", "0006707_21.jpg", "0006707_22.jpg", "0006707_23.jpg" ]
indian style atta biscuits 4k quality AR 16:9
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006707.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 \"indian style atta biscuits 4k quality AR 16:9\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2000574
[ "2000574_00.jpg", "2000574_01.jpg", "2000574_02.jpg", "2000574_03.jpg", "2000574_04.jpg", "2000574_05.jpg", "2000574_06.jpg", "2000574_07.jpg", "2000574_08.jpg", "2000574_09.jpg", "2000574_10.jpg", "2000574_11.jpg", "2000574_12.jpg", "2000574_13.jpg", "2000574_14.jpg", "2000574_15.jpg" ]
woman controlled by the breeze 4k
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000574.mp4
3
2
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"woman controlled by the breeze 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: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
s000064
[ "s000064_00.jpg", "s000064_01.jpg", "s000064_02.jpg", "s000064_03.jpg", "s000064_04.jpg", "s000064_05.jpg", "s000064_06.jpg", "s000064_07.jpg", "s000064_08.jpg", "s000064_09.jpg", "s000064_10.jpg", "s000064_11.jpg", "s000064_12.jpg", "s000064_13.jpg", "s000064_14.jpg", "s000064_15.jpg", "s000064_16.jpg", "s000064_17.jpg", "s000064_18.jpg", "s000064_19.jpg" ]
peaple asking a girl for help , animated, 4k,realistic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000064.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 \"peaple asking a girl for help , animated, 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> <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" } ]
1000447
[ "1000447_00.jpg", "1000447_01.jpg", "1000447_02.jpg", "1000447_03.jpg", "1000447_04.jpg", "1000447_05.jpg", "1000447_06.jpg", "1000447_07.jpg", "1000447_08.jpg", "1000447_09.jpg", "1000447_10.jpg", "1000447_11.jpg", "1000447_12.jpg", "1000447_13.jpg", "1000447_14.jpg", "1000447_15.jpg" ]
human cell infinity camera zoom in
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000447.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 \"human cell infinity camera zoom 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" } ]
7001912
[ "7001912_00.jpg", "7001912_01.jpg", "7001912_02.jpg", "7001912_03.jpg", "7001912_04.jpg", "7001912_05.jpg", "7001912_06.jpg", "7001912_07.jpg" ]
the division darkzone alleyway at night 16:9
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001912.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 \"the division darkzone alleyway at night 16:9\",\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" } ]
3006468
[ "3006468_00.jpg", "3006468_01.jpg", "3006468_02.jpg", "3006468_03.jpg", "3006468_04.jpg", "3006468_05.jpg", "3006468_06.jpg", "3006468_07.jpg", "3006468_08.jpg", "3006468_09.jpg", "3006468_10.jpg", "3006468_11.jpg", "3006468_12.jpg", "3006468_13.jpg", "3006468_14.jpg", "3006468_15.jpg" ]
first snow fall on spring leaves Message: dogs (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006468.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 \"first snow fall on spring leaves Message: dogs (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2002746
[ "2002746_00.jpg", "2002746_01.jpg", "2002746_02.jpg", "2002746_03.jpg", "2002746_04.jpg", "2002746_05.jpg", "2002746_06.jpg", "2002746_07.jpg", "2002746_08.jpg", "2002746_09.jpg", "2002746_10.jpg", "2002746_11.jpg", "2002746_12.jpg", "2002746_13.jpg", "2002746_14.jpg", "2002746_15.jpg" ]
a football team coming out of smoke filled tunnel
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002746.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 football team coming out of smoke filled tunnel\",\nall the frames of video are as 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" } ]
5001913
[ "5001913_00.jpg", "5001913_01.jpg", "5001913_02.jpg", "5001913_03.jpg", "5001913_04.jpg", "5001913_05.jpg", "5001913_06.jpg", "5001913_07.jpg", "5001913_08.jpg", "5001913_09.jpg", "5001913_10.jpg", "5001913_11.jpg", "5001913_12.jpg", "5001913_13.jpg", "5001913_14.jpg", "5001913_15.jpg" ]
A beautiful yellow carp has a dream of becoming a dragon
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001913.mp4
2
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A beautiful yellow carp has a dream of becoming a dragon\",\nall the frames of video are as 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" } ]
2001280
[ "2001280_00.jpg", "2001280_01.jpg", "2001280_02.jpg", "2001280_03.jpg", "2001280_04.jpg", "2001280_05.jpg", "2001280_06.jpg", "2001280_07.jpg", "2001280_08.jpg", "2001280_09.jpg", "2001280_10.jpg", "2001280_11.jpg", "2001280_12.jpg", "2001280_13.jpg", "2001280_14.jpg", "2001280_15.jpg" ]
a view of a meteor falling to Earth viewed from a building window, cinematic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001280.mp4
3
1
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a view of a meteor falling to Earth viewed from a building window, cinematic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
7001099
[ "7001099_00.jpg", "7001099_01.jpg", "7001099_02.jpg", "7001099_03.jpg", "7001099_04.jpg", "7001099_05.jpg", "7001099_06.jpg", "7001099_07.jpg" ]
create movement in this character and things burning around him
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001099.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 \"create movement in this character and things burning around him\",\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" } ]
7002545
[ "7002545_00.jpg", "7002545_01.jpg", "7002545_02.jpg", "7002545_03.jpg", "7002545_04.jpg", "7002545_05.jpg", "7002545_06.jpg", "7002545_07.jpg" ]
tuxedo and formal dresses audience applauding
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002545.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 \"tuxedo and formal dresses audience applauding\",\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" } ]
2001931
[ "2001931_00.jpg", "2001931_01.jpg", "2001931_02.jpg", "2001931_03.jpg", "2001931_04.jpg", "2001931_05.jpg", "2001931_06.jpg", "2001931_07.jpg", "2001931_08.jpg", "2001931_09.jpg", "2001931_10.jpg", "2001931_11.jpg", "2001931_12.jpg", "2001931_13.jpg", "2001931_14.jpg", "2001931_15.jpg" ]
army of knights in red blue and yelow armor in the battle. The knights are mounted on lions, and out of their mouths came fire, smoke and sulfur. panoramic view
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001931.mp4
3
3
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"army of knights in red blue and yelow armor in the battle. The knights are mounted on lions, and out of their mouths came fire, smoke and sulfur. panoramic view\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0002434
[ "0002434_00.jpg", "0002434_01.jpg", "0002434_02.jpg", "0002434_03.jpg", "0002434_04.jpg", "0002434_05.jpg", "0002434_06.jpg", "0002434_07.jpg", "0002434_08.jpg", "0002434_09.jpg", "0002434_10.jpg", "0002434_11.jpg", "0002434_12.jpg", "0002434_13.jpg", "0002434_14.jpg", "0002434_15.jpg", "0002434_16.jpg", "0002434_17.jpg", "0002434_18.jpg", "0002434_19.jpg", "0002434_20.jpg", "0002434_21.jpg", "0002434_22.jpg", "0002434_23.jpg" ]
The man eats the air con
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002434.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 \"The man eats the air con\",\nall the 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" } ]
7000359
[ "7000359_00.jpg", "7000359_01.jpg", "7000359_02.jpg", "7000359_03.jpg", "7000359_04.jpg", "7000359_05.jpg", "7000359_06.jpg", "7000359_07.jpg" ]
The Golden Record - from raw earth material to a time capsule of human life on Earth. Using 11 different generations cut together from Sora, I was able to explore what the odyssey of this record might look like.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000359.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 \"The Golden Record - from raw earth material to a time capsule of human life on Earth. Using 11 different generations cut together from Sora, I was able to explore what the odyssey of this record might 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: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
0004207
[ "0004207_00.jpg", "0004207_01.jpg", "0004207_02.jpg", "0004207_03.jpg", "0004207_04.jpg", "0004207_05.jpg", "0004207_06.jpg", "0004207_07.jpg", "0004207_08.jpg", "0004207_09.jpg", "0004207_10.jpg", "0004207_11.jpg", "0004207_12.jpg", "0004207_13.jpg", "0004207_14.jpg", "0004207_15.jpg", "0004207_16.jpg", "0004207_17.jpg", "0004207_18.jpg", "0004207_19.jpg", "0004207_20.jpg", "0004207_21.jpg", "0004207_22.jpg", "0004207_23.jpg" ]
eagle try to hunt the mouse
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004207.mp4
3
3
2
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"eagle try to hunt the mouse\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7001762
[ "7001762_00.jpg", "7001762_01.jpg", "7001762_02.jpg", "7001762_03.jpg", "7001762_04.jpg", "7001762_05.jpg", "7001762_06.jpg", "7001762_07.jpg" ]
Groom and bride dance at wedding
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001762.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 \"Groom and bride dance at wedding\",\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" } ]
0002567
[ "0002567_00.jpg", "0002567_01.jpg", "0002567_02.jpg", "0002567_03.jpg", "0002567_04.jpg", "0002567_05.jpg", "0002567_06.jpg", "0002567_07.jpg", "0002567_08.jpg", "0002567_09.jpg", "0002567_10.jpg", "0002567_11.jpg", "0002567_12.jpg", "0002567_13.jpg", "0002567_14.jpg", "0002567_15.jpg", "0002567_16.jpg", "0002567_17.jpg", "0002567_18.jpg", "0002567_19.jpg", "0002567_20.jpg", "0002567_21.jpg", "0002567_22.jpg", "0002567_23.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/0/0002567.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 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> <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" } ]
3004931
[ "3004931_00.jpg", "3004931_01.jpg", "3004931_02.jpg", "3004931_03.jpg", "3004931_04.jpg", "3004931_05.jpg", "3004931_06.jpg", "3004931_07.jpg", "3004931_08.jpg", "3004931_09.jpg", "3004931_10.jpg", "3004931_11.jpg", "3004931_12.jpg", "3004931_13.jpg", "3004931_14.jpg", "3004931_15.jpg" ]
painting depicting the following ideas: Just when you least expect it, you encounter a roaring river you need to cross,
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004931.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 \"painting depicting the following ideas: Just when you least expect it, you encounter a roaring river you need to cross,\",\nall the frames of video are as 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" } ]
0002621
[ "0002621_00.jpg", "0002621_01.jpg", "0002621_02.jpg", "0002621_03.jpg", "0002621_04.jpg", "0002621_05.jpg", "0002621_06.jpg", "0002621_07.jpg", "0002621_08.jpg", "0002621_09.jpg", "0002621_10.jpg", "0002621_11.jpg", "0002621_12.jpg", "0002621_13.jpg", "0002621_14.jpg", "0002621_15.jpg", "0002621_16.jpg", "0002621_17.jpg", "0002621_18.jpg", "0002621_19.jpg", "0002621_20.jpg", "0002621_21.jpg", "0002621_22.jpg", "0002621_23.jpg" ]
create a chocolate chip cookies is creating Christmas tree in swing motion
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002621.mp4
3
3
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"create a chocolate chip cookies is creating Christmas tree in swing 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: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6001154
[ "6001154_00.jpg", "6001154_01.jpg", "6001154_02.jpg", "6001154_03.jpg", "6001154_04.jpg", "6001154_05.jpg", "6001154_06.jpg", "6001154_07.jpg", "6001154_08.jpg", "6001154_09.jpg", "6001154_10.jpg", "6001154_11.jpg", "6001154_12.jpg", "6001154_13.jpg", "6001154_14.jpg", "6001154_15.jpg" ]
A battleaxe chopping an eggplant in half
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001154.mp4
2
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A battleaxe chopping an eggplant in half\",\nall the frames of video are as 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" } ]
7000089
[ "7000089_00.jpg", "7000089_01.jpg", "7000089_02.jpg", "7000089_03.jpg", "7000089_04.jpg", "7000089_05.jpg", "7000089_06.jpg", "7000089_07.jpg" ]
python developers and progrming language Message: z (Font: BAUHAUS)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000089.mp4
2
1
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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 \"python developers and progrming language Message: z (Font: BAUHAUS)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
1002020
[ "1002020_00.jpg", "1002020_01.jpg", "1002020_02.jpg", "1002020_03.jpg", "1002020_04.jpg", "1002020_05.jpg", "1002020_06.jpg", "1002020_07.jpg", "1002020_08.jpg", "1002020_09.jpg", "1002020_10.jpg", "1002020_11.jpg", "1002020_12.jpg", "1002020_13.jpg", "1002020_14.jpg", "1002020_15.jpg" ]
the festive town square adorned with colorful Christmas lights and decorations. Cheerful laughter and distant carolers set a contrast to the impending darkness.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002020.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"the festive town square adorned with colorful Christmas lights and decorations. Cheerful laughter and distant carolers set a contrast to the impending darkness.\",\nall the frames of video are as 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" } ]
7001950
[ "7001950_00.jpg", "7001950_01.jpg", "7001950_02.jpg", "7001950_03.jpg", "7001950_04.jpg", "7001950_05.jpg", "7001950_06.jpg", "7001950_07.jpg" ]
Dasboard displaying banking data, in chart and diagrams,account details, avilable balance monthly yearly spending patterns, recent transctions,offers, panding bills
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001950.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 \"Dasboard displaying banking data, in chart and diagrams,account details, avilable balance monthly yearly spending patterns, recent transctions,offers, panding bills\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6004627
[ "6004627_00.jpg", "6004627_01.jpg", "6004627_02.jpg", "6004627_03.jpg", "6004627_04.jpg", "6004627_05.jpg", "6004627_06.jpg", "6004627_07.jpg", "6004627_08.jpg", "6004627_09.jpg", "6004627_10.jpg", "6004627_11.jpg", "6004627_12.jpg", "6004627_13.jpg", "6004627_14.jpg", "6004627_15.jpg" ]
tie and dye vinyle record, pink and orange, white background, smooth light, 1990
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004627.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 \"tie and dye vinyle record, pink and orange, white background, smooth light, 1990\",\nall the frames of video are as 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" } ]
6001781
[ "6001781_00.jpg", "6001781_01.jpg", "6001781_02.jpg", "6001781_03.jpg", "6001781_04.jpg", "6001781_05.jpg", "6001781_06.jpg", "6001781_07.jpg", "6001781_08.jpg", "6001781_09.jpg", "6001781_10.jpg", "6001781_11.jpg", "6001781_12.jpg", "6001781_13.jpg", "6001781_14.jpg", "6001781_15.jpg" ]
Japan night flying candles on the background Fujiyama and lots of blooming sakuras
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001781.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 \"Japan night flying candles on the background Fujiyama and lots of blooming sakuras\",\nall the frames of video are as 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" } ]
7002260
[ "7002260_00.jpg", "7002260_01.jpg", "7002260_02.jpg", "7002260_03.jpg", "7002260_04.jpg", "7002260_05.jpg", "7002260_06.jpg", "7002260_07.jpg" ]
Friendly Fish and Energetic Eels: Visualize friendly fish with cheerful expressions, swimming alongside Ollie and the Mischief Mice. Show energetic eels participating in the underwater volleyball game, with tails forming a net.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002260.mp4
3
2
1
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Friendly Fish and Energetic Eels: Visualize friendly fish with cheerful expressions, swimming alongside Ollie and the Mischief Mice. Show energetic eels participating in the underwater volleyball game, with tails forming a net.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
1000000
[ "1000000_00.jpg", "1000000_01.jpg", "1000000_02.jpg", "1000000_03.jpg", "1000000_04.jpg", "1000000_05.jpg", "1000000_06.jpg", "1000000_07.jpg", "1000000_08.jpg", "1000000_09.jpg", "1000000_10.jpg", "1000000_11.jpg", "1000000_12.jpg", "1000000_13.jpg", "1000000_14.jpg", "1000000_15.jpg" ]
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000000.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 \"\",\nall the frames of video are as 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" } ]
9000811
[ "9000811_00.jpg", "9000811_01.jpg", "9000811_02.jpg", "9000811_03.jpg", "9000811_04.jpg", "9000811_05.jpg", "9000811_06.jpg", "9000811_07.jpg", "9000811_08.jpg", "9000811_09.jpg", "9000811_10.jpg", "9000811_11.jpg", "9000811_12.jpg", "9000811_13.jpg", "9000811_14.jpg", "9000811_15.jpg", "9000811_16.jpg", "9000811_17.jpg", "9000811_18.jpg", "9000811_19.jpg", "9000811_20.jpg", "9000811_21.jpg", "9000811_22.jpg", "9000811_23.jpg" ]
A Viking warrior standing atop a longship, the still waters of the lake reflecting the majestic mountains in the Ecchi art style.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000811.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 Viking warrior standing atop a longship, the still waters of the lake reflecting the majestic mountains in the Ecchi 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> <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" } ]
3000809
[ "3000809_00.jpg", "3000809_01.jpg", "3000809_02.jpg", "3000809_03.jpg", "3000809_04.jpg", "3000809_05.jpg", "3000809_06.jpg", "3000809_07.jpg", "3000809_08.jpg", "3000809_09.jpg", "3000809_10.jpg", "3000809_11.jpg", "3000809_12.jpg", "3000809_13.jpg", "3000809_14.jpg", "3000809_15.jpg" ]
a shot of a syberpunk female hero in scifi movie
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000809.mp4
2
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a shot of a syberpunk female hero in scifi movie\",\nall the frames of video are as 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" } ]
7000249
[ "7000249_00.jpg", "7000249_01.jpg", "7000249_02.jpg", "7000249_03.jpg", "7000249_04.jpg", "7000249_05.jpg", "7000249_06.jpg", "7000249_07.jpg" ]
Empty bench inside an old police station made of wood No one waiting. A tamil bearded police officer woke up from his sleep. His name is Murugan.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000249.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 \"Empty bench inside an old police station made of wood No one waiting. A tamil bearded police officer woke up from his sleep. His name is Murugan.\",\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" } ]
3001249
[ "3001249_00.jpg", "3001249_01.jpg", "3001249_02.jpg", "3001249_03.jpg", "3001249_04.jpg", "3001249_05.jpg", "3001249_06.jpg", "3001249_07.jpg", "3001249_08.jpg", "3001249_09.jpg", "3001249_10.jpg", "3001249_11.jpg", "3001249_12.jpg", "3001249_13.jpg", "3001249_14.jpg", "3001249_15.jpg" ]
3 friends sitting in the office
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001249.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 \"3 friends sitting in the office\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2002575
[ "2002575_00.jpg", "2002575_01.jpg", "2002575_02.jpg", "2002575_03.jpg", "2002575_04.jpg", "2002575_05.jpg", "2002575_06.jpg", "2002575_07.jpg", "2002575_08.jpg", "2002575_09.jpg", "2002575_10.jpg", "2002575_11.jpg", "2002575_12.jpg", "2002575_13.jpg", "2002575_14.jpg", "2002575_15.jpg" ]
Psychological thriller about love, longing and loneliness, set in a foggy town on the edge of the world. inspired by Silent Hill series.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002575.mp4
3
3
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Psychological thriller about love, longing and loneliness, set in a foggy town on the edge of the world. inspired by Silent Hill series.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7002531
[ "7002531_00.jpg", "7002531_01.jpg", "7002531_02.jpg", "7002531_03.jpg", "7002531_04.jpg", "7002531_05.jpg", "7002531_06.jpg", "7002531_07.jpg" ]
Create an animated celebration scene as Prince Alexander and Princess Seraphina return to Eldoria, welcomed by jubilant crowds celebrating their victory.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002531.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 \"Create an animated celebration scene as Prince Alexander and Princess Seraphina return to Eldoria, welcomed by jubilant crowds celebrating their victory.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
7000937
[ "7000937_00.jpg", "7000937_01.jpg", "7000937_02.jpg", "7000937_03.jpg", "7000937_04.jpg", "7000937_05.jpg", "7000937_06.jpg", "7000937_07.jpg" ]
girl would escape to the village library
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000937.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 \"girl would escape to the village library\",\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" } ]
9000282
[ "9000282_00.jpg", "9000282_01.jpg", "9000282_02.jpg", "9000282_03.jpg", "9000282_04.jpg", "9000282_05.jpg", "9000282_06.jpg", "9000282_07.jpg", "9000282_08.jpg", "9000282_09.jpg", "9000282_10.jpg", "9000282_11.jpg", "9000282_12.jpg", "9000282_13.jpg", "9000282_14.jpg", "9000282_15.jpg", "9000282_16.jpg", "9000282_17.jpg", "9000282_18.jpg", "9000282_19.jpg", "9000282_20.jpg", "9000282_21.jpg", "9000282_22.jpg", "9000282_23.jpg" ]
a man is paying money to his laptop 4k
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000282.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a man is paying money to his laptop 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> <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" } ]
7002308
[ "7002308_00.jpg", "7002308_01.jpg", "7002308_02.jpg", "7002308_03.jpg", "7002308_04.jpg", "7002308_05.jpg", "7002308_06.jpg", "7002308_07.jpg" ]
Creepy Winnie The Pooh Is Holding a Blood With His Hands, Liminal Space, Cinematic 4k, 2000s Horror Film Filter
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002308.mp4
1
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 \"Creepy Winnie The Pooh Is Holding a Blood With His Hands, Liminal Space, Cinematic 4k, 2000s Horror Film Filter\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
5000180
[ "5000180_00.jpg", "5000180_01.jpg", "5000180_02.jpg", "5000180_03.jpg", "5000180_04.jpg", "5000180_05.jpg", "5000180_06.jpg", "5000180_07.jpg", "5000180_08.jpg", "5000180_09.jpg", "5000180_10.jpg", "5000180_11.jpg", "5000180_12.jpg", "5000180_13.jpg", "5000180_14.jpg", "5000180_15.jpg" ]
show children in baisakhi festival enjoying with their families in the fair holding hands laughing and smiling and everyone is very happy
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000180.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 \"show children in baisakhi festival enjoying with their families in the fair holding hands laughing and smiling and everyone is very happy\",\nall the frames of video are as 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" } ]
1002594
[ "1002594_00.jpg", "1002594_01.jpg", "1002594_02.jpg", "1002594_03.jpg", "1002594_04.jpg", "1002594_05.jpg", "1002594_06.jpg", "1002594_07.jpg", "1002594_08.jpg", "1002594_09.jpg", "1002594_10.jpg", "1002594_11.jpg", "1002594_12.jpg", "1002594_13.jpg", "1002594_14.jpg", "1002594_15.jpg" ]
shadow of girl sitting on the boat, the night sky at the river
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002594.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 \"shadow of girl sitting on the boat, the night sky at the river\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
3005399
[ "3005399_00.jpg", "3005399_01.jpg", "3005399_02.jpg", "3005399_03.jpg", "3005399_04.jpg", "3005399_05.jpg", "3005399_06.jpg", "3005399_07.jpg", "3005399_08.jpg", "3005399_09.jpg", "3005399_10.jpg", "3005399_11.jpg", "3005399_12.jpg", "3005399_13.jpg", "3005399_14.jpg", "3005399_15.jpg" ]
Buddha, meditating under a tree, at the edge of a mountain, where you can see a large valley with abundant nature
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005399.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 \"Buddha, meditating under a tree, at the edge of a mountain, where you can see a large valley with abundant nature\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1006828
[ "1006828_00.jpg", "1006828_01.jpg", "1006828_02.jpg", "1006828_03.jpg", "1006828_04.jpg", "1006828_05.jpg", "1006828_06.jpg", "1006828_07.jpg", "1006828_08.jpg", "1006828_09.jpg", "1006828_10.jpg", "1006828_11.jpg", "1006828_12.jpg", "1006828_13.jpg", "1006828_14.jpg", "1006828_15.jpg" ]
a London bus driver under water
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006828.mp4
2
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a London bus driver under water\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3006849
[ "3006849_00.jpg", "3006849_01.jpg", "3006849_02.jpg", "3006849_03.jpg", "3006849_04.jpg", "3006849_05.jpg", "3006849_06.jpg", "3006849_07.jpg", "3006849_08.jpg", "3006849_09.jpg", "3006849_10.jpg", "3006849_11.jpg", "3006849_12.jpg", "3006849_13.jpg", "3006849_14.jpg", "3006849_15.jpg" ]
A young woman reads a book in the pavilion by the river. The breeze blows through her innocent face, filling it with a gentle smile.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006849.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 young woman reads a book in the pavilion by the river. The breeze blows through her innocent face, filling it with a gentle smile.\",\nall the frames of video are as 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" } ]
5001897
[ "5001897_00.jpg", "5001897_01.jpg", "5001897_02.jpg", "5001897_03.jpg", "5001897_04.jpg", "5001897_05.jpg", "5001897_06.jpg", "5001897_07.jpg", "5001897_08.jpg", "5001897_09.jpg", "5001897_10.jpg", "5001897_11.jpg", "5001897_12.jpg", "5001897_13.jpg", "5001897_14.jpg", "5001897_15.jpg" ]
Lake in sunset surrounded by trees
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001897.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 \"Lake in sunset surrounded by trees\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
0002052
[ "0002052_00.jpg", "0002052_01.jpg", "0002052_02.jpg", "0002052_03.jpg", "0002052_04.jpg", "0002052_05.jpg", "0002052_06.jpg", "0002052_07.jpg", "0002052_08.jpg", "0002052_09.jpg", "0002052_10.jpg", "0002052_11.jpg", "0002052_12.jpg", "0002052_13.jpg", "0002052_14.jpg", "0002052_15.jpg", "0002052_16.jpg", "0002052_17.jpg", "0002052_18.jpg", "0002052_19.jpg", "0002052_20.jpg", "0002052_21.jpg", "0002052_22.jpg", "0002052_23.jpg" ]
person with a strange head and a glowing light dancing in the middle of the image, an Alien clad in a Fibonacci Spiral
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002052.mp4
3
2
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"person with a strange head and a glowing light dancing in the middle of the image, an Alien clad in a Fibonacci Spiral\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
8000407
[ "8000407_00.jpg", "8000407_01.jpg", "8000407_02.jpg", "8000407_03.jpg", "8000407_04.jpg", "8000407_05.jpg", "8000407_06.jpg", "8000407_07.jpg", "8000407_08.jpg", "8000407_09.jpg", "8000407_10.jpg", "8000407_11.jpg", "8000407_12.jpg", "8000407_13.jpg", "8000407_14.jpg", "8000407_15.jpg", "8000407_16.jpg", "8000407_17.jpg", "8000407_18.jpg", "8000407_19.jpg", "8000407_20.jpg", "8000407_21.jpg", "8000407_22.jpg", "8000407_23.jpg" ]
street in tehran, woman , dance , flowers
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000407.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 \"street in tehran, woman , dance , flowers\",\nall the 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" } ]
0000025
[ "0000025_00.jpg", "0000025_01.jpg", "0000025_02.jpg", "0000025_03.jpg", "0000025_04.jpg", "0000025_05.jpg", "0000025_06.jpg", "0000025_07.jpg", "0000025_08.jpg", "0000025_09.jpg", "0000025_10.jpg", "0000025_11.jpg", "0000025_12.jpg", "0000025_13.jpg", "0000025_14.jpg", "0000025_15.jpg", "0000025_16.jpg", "0000025_17.jpg", "0000025_18.jpg", "0000025_19.jpg", "0000025_20.jpg", "0000025_21.jpg", "0000025_22.jpg", "0000025_23.jpg" ]
Juice advertising posters, the orchard in the summer is sunny, a jar of orange marmalade is in the middle of the photo, surrounded by flying oranges, cool and bright, photorealistic style, Refreshing, bright and attractive, 8K
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000025.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 \"Juice advertising posters, the orchard in the summer is sunny, a jar of orange marmalade is in the middle of the photo, surrounded by flying oranges, cool and bright, photorealistic style, Refreshing, bright and attractive, 8K\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
1006833
[ "1006833_00.jpg", "1006833_01.jpg", "1006833_02.jpg", "1006833_03.jpg", "1006833_04.jpg", "1006833_05.jpg", "1006833_06.jpg", "1006833_07.jpg", "1006833_08.jpg", "1006833_09.jpg", "1006833_10.jpg", "1006833_11.jpg", "1006833_12.jpg", "1006833_13.jpg", "1006833_14.jpg", "1006833_15.jpg" ]
a rapper rapping, forest in the background
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006833.mp4
2
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a rapper rapping, forest in the background\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7001626
[ "7001626_00.jpg", "7001626_01.jpg", "7001626_02.jpg", "7001626_03.jpg", "7001626_04.jpg", "7001626_05.jpg", "7001626_06.jpg", "7001626_07.jpg" ]
The coral formations sparkled with a kaleidoscope of colors, like a living masterpiece painted by the sea itself. Schools of colorful fish glided gracefully through the corals, their scales glistening in the gentle underwater light. They moved in unison, as if dancing to an invisible melody, weaving intricate patterns in the water.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001626.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The coral formations sparkled with a kaleidoscope of colors, like a living masterpiece painted by the sea itself. Schools of colorful fish glided gracefully through the corals, their scales glistening in the gentle underwater light. They moved in unison, as if dancing to an invisible melody, weaving intricate patterns in the water.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
0005323
[ "0005323_00.jpg", "0005323_01.jpg", "0005323_02.jpg", "0005323_03.jpg", "0005323_04.jpg", "0005323_05.jpg", "0005323_06.jpg", "0005323_07.jpg", "0005323_08.jpg", "0005323_09.jpg", "0005323_10.jpg", "0005323_11.jpg", "0005323_12.jpg", "0005323_13.jpg", "0005323_14.jpg", "0005323_15.jpg", "0005323_16.jpg", "0005323_17.jpg", "0005323_18.jpg", "0005323_19.jpg", "0005323_20.jpg", "0005323_21.jpg", "0005323_22.jpg", "0005323_23.jpg" ]
jumping box, cartoon animation, soft shape
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005323.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 \"jumping box, cartoon animation, soft shape\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
0004876
[ "0004876_00.jpg", "0004876_01.jpg", "0004876_02.jpg", "0004876_03.jpg", "0004876_04.jpg", "0004876_05.jpg", "0004876_06.jpg", "0004876_07.jpg", "0004876_08.jpg", "0004876_09.jpg", "0004876_10.jpg", "0004876_11.jpg", "0004876_12.jpg", "0004876_13.jpg", "0004876_14.jpg", "0004876_15.jpg", "0004876_16.jpg", "0004876_17.jpg", "0004876_18.jpg", "0004876_19.jpg", "0004876_20.jpg", "0004876_21.jpg", "0004876_22.jpg", "0004876_23.jpg" ]
Thanos collecting programming languages instead of infinity stones, for example Kotlin, Swift, python, java, JavaScript
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004876.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 \"Thanos collecting programming languages instead of infinity stones, for example Kotlin, Swift, python, java, JavaScript\",\nall the 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" } ]
6003545
[ "6003545_00.jpg", "6003545_01.jpg", "6003545_02.jpg", "6003545_03.jpg", "6003545_04.jpg", "6003545_05.jpg", "6003545_06.jpg", "6003545_07.jpg", "6003545_08.jpg", "6003545_09.jpg", "6003545_10.jpg", "6003545_11.jpg", "6003545_12.jpg", "6003545_13.jpg", "6003545_14.jpg", "6003545_15.jpg" ]
8 Years old girl, curly hair, colorful and a simple sandal. Anime style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003545.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 \"8 Years old girl, curly hair, colorful and a simple sandal. Anime style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
1002910
[ "1002910_00.jpg", "1002910_01.jpg", "1002910_02.jpg", "1002910_03.jpg", "1002910_04.jpg", "1002910_05.jpg", "1002910_06.jpg", "1002910_07.jpg", "1002910_08.jpg", "1002910_09.jpg", "1002910_10.jpg", "1002910_11.jpg", "1002910_12.jpg", "1002910_13.jpg", "1002910_14.jpg", "1002910_15.jpg" ]
a boy walking on road at midnight
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002910.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 walking on road at midnight\",\nall the frames of video are as 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" } ]
3001172
[ "3001172_00.jpg", "3001172_01.jpg", "3001172_02.jpg", "3001172_03.jpg", "3001172_04.jpg", "3001172_05.jpg", "3001172_06.jpg", "3001172_07.jpg", "3001172_08.jpg", "3001172_09.jpg", "3001172_10.jpg", "3001172_11.jpg", "3001172_12.jpg", "3001172_13.jpg", "3001172_14.jpg", "3001172_15.jpg" ]
Disney Pixar Cartoon, Disney Cartoon Characters, Disney Cartoon Style, Droz Global Illumination, Cute, 3D Rendering, Volume, a woman in a black dress with gold earrings on her head and a black dress with a gold bow, perfect face, Emma Geary, precisionism, a character portrait
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001172.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 \"Disney Pixar Cartoon, Disney Cartoon Characters, Disney Cartoon Style, Droz Global Illumination, Cute, 3D Rendering, Volume, a woman in a black dress with gold earrings on her head and a black dress with a gold bow, perfect face, Emma Geary, precisionism, a character portrait\",\nall the frames of video are as 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" } ]
3002122
[ "3002122_00.jpg", "3002122_01.jpg", "3002122_02.jpg", "3002122_03.jpg", "3002122_04.jpg", "3002122_05.jpg", "3002122_06.jpg", "3002122_07.jpg", "3002122_08.jpg", "3002122_09.jpg", "3002122_10.jpg", "3002122_11.jpg", "3002122_12.jpg", "3002122_13.jpg", "3002122_14.jpg", "3002122_15.jpg" ]
person sleeping and dreaming about an angel
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002122.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 \"person sleeping and dreaming about an angel\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
8000112
[ "8000112_00.jpg", "8000112_01.jpg", "8000112_02.jpg", "8000112_03.jpg", "8000112_04.jpg", "8000112_05.jpg", "8000112_06.jpg", "8000112_07.jpg", "8000112_08.jpg", "8000112_09.jpg", "8000112_10.jpg", "8000112_11.jpg", "8000112_12.jpg", "8000112_13.jpg", "8000112_14.jpg", "8000112_15.jpg", "8000112_16.jpg", "8000112_17.jpg", "8000112_18.jpg", "8000112_19.jpg", "8000112_20.jpg", "8000112_21.jpg", "8000112_22.jpg", "8000112_23.jpg" ]
Historical footage of California during the gold rush.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000112.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 \"Historical footage of California during the gold rush.\",\nall the 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" } ]
6003305
[ "6003305_00.jpg", "6003305_01.jpg", "6003305_02.jpg", "6003305_03.jpg", "6003305_04.jpg", "6003305_05.jpg", "6003305_06.jpg", "6003305_07.jpg", "6003305_08.jpg", "6003305_09.jpg", "6003305_10.jpg", "6003305_11.jpg", "6003305_12.jpg", "6003305_13.jpg", "6003305_14.jpg", "6003305_15.jpg" ]
perfect fit of very complex moving machinery and mechanisms
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003305.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 \"perfect fit of very complex moving machinery and mechanisms\",\nall the frames of video are as 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" } ]
1002063
[ "1002063_00.jpg", "1002063_01.jpg", "1002063_02.jpg", "1002063_03.jpg", "1002063_04.jpg", "1002063_05.jpg", "1002063_06.jpg", "1002063_07.jpg", "1002063_08.jpg", "1002063_09.jpg", "1002063_10.jpg", "1002063_11.jpg", "1002063_12.jpg", "1002063_13.jpg", "1002063_14.jpg", "1002063_15.jpg" ]
urban man in hoodie walking down a busy city street looking at the camera while buildings crumble behind him as he passes by. realistic very detailed hd resolution 4k cinematic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002063.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 \"urban man in hoodie walking down a busy city street looking at the camera while buildings crumble behind him as he passes by. realistic very detailed hd resolution 4k 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" } ]
6003662
[ "6003662_00.jpg", "6003662_01.jpg", "6003662_02.jpg", "6003662_03.jpg", "6003662_04.jpg", "6003662_05.jpg", "6003662_06.jpg", "6003662_07.jpg", "6003662_08.jpg", "6003662_09.jpg", "6003662_10.jpg", "6003662_11.jpg", "6003662_12.jpg", "6003662_13.jpg", "6003662_14.jpg", "6003662_15.jpg" ]
living Apple company logo eating a pear
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003662.mp4
2
1
2
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"living Apple company logo eating a pear\",\nall the frames of video are as 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: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
s000523
[ "s000523_00.jpg", "s000523_01.jpg", "s000523_02.jpg", "s000523_03.jpg", "s000523_04.jpg", "s000523_05.jpg", "s000523_06.jpg", "s000523_07.jpg", "s000523_08.jpg", "s000523_09.jpg", "s000523_10.jpg", "s000523_11.jpg", "s000523_12.jpg", "s000523_13.jpg", "s000523_14.jpg", "s000523_15.jpg", "s000523_16.jpg", "s000523_17.jpg", "s000523_18.jpg", "s000523_19.jpg" ]
cliff
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000523.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 \"cliff\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
0002239
[ "0002239_00.jpg", "0002239_01.jpg", "0002239_02.jpg", "0002239_03.jpg", "0002239_04.jpg", "0002239_05.jpg", "0002239_06.jpg", "0002239_07.jpg", "0002239_08.jpg", "0002239_09.jpg", "0002239_10.jpg", "0002239_11.jpg", "0002239_12.jpg", "0002239_13.jpg", "0002239_14.jpg", "0002239_15.jpg", "0002239_16.jpg", "0002239_17.jpg", "0002239_18.jpg", "0002239_19.jpg", "0002239_20.jpg", "0002239_21.jpg", "0002239_22.jpg", "0002239_23.jpg" ]
indoor gymnasium
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002239.mp4
3
3
1
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"indoor gymnasium\",\nall the 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: 2\n" } ]
5000611
[ "5000611_00.jpg", "5000611_01.jpg", "5000611_02.jpg", "5000611_03.jpg", "5000611_04.jpg", "5000611_05.jpg", "5000611_06.jpg", "5000611_07.jpg", "5000611_08.jpg", "5000611_09.jpg", "5000611_10.jpg", "5000611_11.jpg", "5000611_12.jpg", "5000611_13.jpg", "5000611_14.jpg", "5000611_15.jpg" ]
a man walk, with his wife, in the park, bluesky, green playground
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000611.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 \"a man walk, with his wife, in the park, bluesky, green playground\",\nall the frames of video are as 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" } ]
1004248
[ "1004248_00.jpg", "1004248_01.jpg", "1004248_02.jpg", "1004248_03.jpg", "1004248_04.jpg", "1004248_05.jpg", "1004248_06.jpg", "1004248_07.jpg", "1004248_08.jpg", "1004248_09.jpg", "1004248_10.jpg", "1004248_11.jpg", "1004248_12.jpg", "1004248_13.jpg", "1004248_14.jpg", "1004248_15.jpg" ]
Transition between different story scenes, each deeper into Fairyland
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004248.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 \"Transition between different story scenes, each deeper into Fairyland\",\nall the frames of video are as 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" } ]
4000570
[ "4000570_00.jpg", "4000570_01.jpg", "4000570_02.jpg", "4000570_03.jpg", "4000570_04.jpg", "4000570_05.jpg", "4000570_06.jpg", "4000570_07.jpg", "4000570_08.jpg", "4000570_09.jpg", "4000570_10.jpg", "4000570_11.jpg", "4000570_12.jpg", "4000570_13.jpg", "4000570_14.jpg", "4000570_15.jpg" ]
skeleton on a guitar sitting on a chair on a volcano. red sky, pixar style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000570.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 \"skeleton on a guitar sitting on a chair on a volcano. red sky, pixar style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
0002604
[ "0002604_00.jpg", "0002604_01.jpg", "0002604_02.jpg", "0002604_03.jpg", "0002604_04.jpg", "0002604_05.jpg", "0002604_06.jpg", "0002604_07.jpg", "0002604_08.jpg", "0002604_09.jpg", "0002604_10.jpg", "0002604_11.jpg", "0002604_12.jpg", "0002604_13.jpg", "0002604_14.jpg", "0002604_15.jpg", "0002604_16.jpg", "0002604_17.jpg", "0002604_18.jpg", "0002604_19.jpg", "0002604_20.jpg", "0002604_21.jpg", "0002604_22.jpg", "0002604_23.jpg" ]
a dynamic image of students aged 5 to 14 in an Islamic school learning with teachers guiding them.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002604.mp4
3
2
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a dynamic image of students aged 5 to 14 in an Islamic school learning with teachers guiding them.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
4003872
[ "4003872_00.jpg", "4003872_01.jpg", "4003872_02.jpg", "4003872_03.jpg", "4003872_04.jpg", "4003872_05.jpg", "4003872_06.jpg", "4003872_07.jpg", "4003872_08.jpg", "4003872_09.jpg", "4003872_10.jpg", "4003872_11.jpg", "4003872_12.jpg", "4003872_13.jpg", "4003872_14.jpg", "4003872_15.jpg" ]
chibi boy wearing cool street outfit, anime style, cute
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003872.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 \"chibi boy wearing cool street outfit, anime style, cute\",\nall the frames of video are as 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" } ]
6000830
[ "6000830_00.jpg", "6000830_01.jpg", "6000830_02.jpg", "6000830_03.jpg", "6000830_04.jpg", "6000830_05.jpg", "6000830_06.jpg", "6000830_07.jpg", "6000830_08.jpg", "6000830_09.jpg", "6000830_10.jpg", "6000830_11.jpg", "6000830_12.jpg", "6000830_13.jpg", "6000830_14.jpg", "6000830_15.jpg" ]
When a person wakes up, the sun shines into the room
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000830.mp4
3
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"When a person wakes up, the sun shines into the 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: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7004826
[ "7004826_00.jpg", "7004826_01.jpg", "7004826_02.jpg", "7004826_03.jpg", "7004826_04.jpg", "7004826_05.jpg", "7004826_06.jpg", "7004826_07.jpg" ]
an image on top of kailash mountain which is present in india
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004826.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 \"an image on top of kailash mountain which is present in india\",\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" } ]
0000368
[ "0000368_00.jpg", "0000368_01.jpg", "0000368_02.jpg", "0000368_03.jpg", "0000368_04.jpg", "0000368_05.jpg", "0000368_06.jpg", "0000368_07.jpg", "0000368_08.jpg", "0000368_09.jpg", "0000368_10.jpg", "0000368_11.jpg", "0000368_12.jpg", "0000368_13.jpg", "0000368_14.jpg", "0000368_15.jpg", "0000368_16.jpg", "0000368_17.jpg", "0000368_18.jpg", "0000368_19.jpg", "0000368_20.jpg", "0000368_21.jpg", "0000368_22.jpg", "0000368_23.jpg" ]
a ginger cat eats Nasi Lemak
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000368.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 ginger cat eats Nasi Lemak\",\nall the 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" } ]
3002873
[ "3002873_00.jpg", "3002873_01.jpg", "3002873_02.jpg", "3002873_03.jpg", "3002873_04.jpg", "3002873_05.jpg", "3002873_06.jpg", "3002873_07.jpg", "3002873_08.jpg", "3002873_09.jpg", "3002873_10.jpg", "3002873_11.jpg", "3002873_12.jpg", "3002873_13.jpg", "3002873_14.jpg", "3002873_15.jpg" ]
2d, Illustration, Vector Design, Far Further Centered View, Blue Bridge
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002873.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 \"2d, Illustration, Vector Design, Far Further Centered View, Blue Bridge\",\nall the frames of video are as 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" } ]
0000198
[ "0000198_00.jpg", "0000198_01.jpg", "0000198_02.jpg", "0000198_03.jpg", "0000198_04.jpg", "0000198_05.jpg", "0000198_06.jpg", "0000198_07.jpg", "0000198_08.jpg", "0000198_09.jpg", "0000198_10.jpg", "0000198_11.jpg", "0000198_12.jpg", "0000198_13.jpg", "0000198_14.jpg", "0000198_15.jpg", "0000198_16.jpg", "0000198_17.jpg", "0000198_18.jpg", "0000198_19.jpg", "0000198_20.jpg", "0000198_21.jpg", "0000198_22.jpg", "0000198_23.jpg" ]
a doctor and an aztec man in loincloths smiling shaking hands around a campfire
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000198.mp4
3
3
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a doctor and an aztec man in loincloths smiling shaking hands around a campfire\",\nall the 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" } ]
3001446
[ "3001446_00.jpg", "3001446_01.jpg", "3001446_02.jpg", "3001446_03.jpg", "3001446_04.jpg", "3001446_05.jpg", "3001446_06.jpg", "3001446_07.jpg", "3001446_08.jpg", "3001446_09.jpg", "3001446_10.jpg", "3001446_11.jpg", "3001446_12.jpg", "3001446_13.jpg", "3001446_14.jpg", "3001446_15.jpg" ]
frightened cat, yellow eyes, zoom out
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001446.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 \"frightened cat, yellow eyes, zoom out\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6001828
[ "6001828_00.jpg", "6001828_01.jpg", "6001828_02.jpg", "6001828_03.jpg", "6001828_04.jpg", "6001828_05.jpg", "6001828_06.jpg", "6001828_07.jpg", "6001828_08.jpg", "6001828_09.jpg", "6001828_10.jpg", "6001828_11.jpg", "6001828_12.jpg", "6001828_13.jpg", "6001828_14.jpg", "6001828_15.jpg" ]
This was a unique village of working in the fields, sharing moments of happiness and sorrow, and celebrating various festivals with pomp and show.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001828.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 \"This was a unique village of working in the fields, sharing moments of happiness and sorrow, and celebrating various festivals with pomp and show.\",\nall the frames of video are as 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" } ]
3005284
[ "3005284_00.jpg", "3005284_01.jpg", "3005284_02.jpg", "3005284_03.jpg", "3005284_04.jpg", "3005284_05.jpg", "3005284_06.jpg", "3005284_07.jpg", "3005284_08.jpg", "3005284_09.jpg", "3005284_10.jpg", "3005284_11.jpg", "3005284_12.jpg", "3005284_13.jpg", "3005284_14.jpg", "3005284_15.jpg" ]
leaning tower of pizza
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005284.mp4
3
2
1
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"leaning tower of pizza\",\nall the frames of video are as 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: 1\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
4000956
[ "4000956_00.jpg", "4000956_01.jpg", "4000956_02.jpg", "4000956_03.jpg", "4000956_04.jpg", "4000956_05.jpg", "4000956_06.jpg", "4000956_07.jpg", "4000956_08.jpg", "4000956_09.jpg", "4000956_10.jpg", "4000956_11.jpg", "4000956_12.jpg", "4000956_13.jpg", "4000956_14.jpg", "4000956_15.jpg" ]
Ashtray full of butts on table, smoke flowing on black background, close-up
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000956.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 \"Ashtray full of butts on table, smoke flowing on black background, close-up\",\nall the frames of video are as 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" } ]
1001243
[ "1001243_00.jpg", "1001243_01.jpg", "1001243_02.jpg", "1001243_03.jpg", "1001243_04.jpg", "1001243_05.jpg", "1001243_06.jpg", "1001243_07.jpg", "1001243_08.jpg", "1001243_09.jpg", "1001243_10.jpg", "1001243_11.jpg", "1001243_12.jpg", "1001243_13.jpg", "1001243_14.jpg", "1001243_15.jpg" ]
very creepy horror scene, a frame that is very frightening, jump scare, 4k quality
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001243.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 \"very creepy horror scene, a frame that is very frightening, jump scare, 4k quality\",\nall the frames of video are as 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" } ]
3001396
[ "3001396_00.jpg", "3001396_01.jpg", "3001396_02.jpg", "3001396_03.jpg", "3001396_04.jpg", "3001396_05.jpg", "3001396_06.jpg", "3001396_07.jpg", "3001396_08.jpg", "3001396_09.jpg", "3001396_10.jpg", "3001396_11.jpg", "3001396_12.jpg", "3001396_13.jpg", "3001396_14.jpg", "3001396_15.jpg" ]
Big grandpa Fedya is dancing on his old house
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001396.mp4
3
3
1
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Big grandpa Fedya is dancing on his old house\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3004563
[ "3004563_00.jpg", "3004563_01.jpg", "3004563_02.jpg", "3004563_03.jpg", "3004563_04.jpg", "3004563_05.jpg", "3004563_06.jpg", "3004563_07.jpg", "3004563_08.jpg", "3004563_09.jpg", "3004563_10.jpg", "3004563_11.jpg", "3004563_12.jpg", "3004563_13.jpg", "3004563_14.jpg", "3004563_15.jpg" ]
hairdresser tools like sissors, hairdryer, shampoos and products on a shelve Message: BARBAS (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004563.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 \"hairdresser tools like sissors, hairdryer, shampoos and products on a shelve Message: BARBAS (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7003016
[ "7003016_00.jpg", "7003016_01.jpg", "7003016_02.jpg", "7003016_03.jpg", "7003016_04.jpg", "7003016_05.jpg", "7003016_06.jpg", "7003016_07.jpg" ]
a copilot flying an airplane that looks like a web browser
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003016.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 \"\u001ba copilot flying an airplane that looks like a web browser\",\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" } ]
4000688
[ "4000688_00.jpg", "4000688_01.jpg", "4000688_02.jpg", "4000688_03.jpg", "4000688_04.jpg", "4000688_05.jpg", "4000688_06.jpg", "4000688_07.jpg", "4000688_08.jpg", "4000688_09.jpg", "4000688_10.jpg", "4000688_11.jpg", "4000688_12.jpg", "4000688_13.jpg", "4000688_14.jpg", "4000688_15.jpg" ]
Make a video about ted bundy in a court room
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000688.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 \"Make a video about ted bundy in a court 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: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
1003516
[ "1003516_00.jpg", "1003516_01.jpg", "1003516_02.jpg", "1003516_03.jpg", "1003516_04.jpg", "1003516_05.jpg", "1003516_06.jpg", "1003516_07.jpg", "1003516_08.jpg", "1003516_09.jpg", "1003516_10.jpg", "1003516_11.jpg", "1003516_12.jpg", "1003516_13.jpg", "1003516_14.jpg", "1003516_15.jpg" ]
Footage from a cheap, low budget 1970s sci fi movie of an astronaut discovering a martian aircraft on mars
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003516.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 \"Footage from a cheap, low budget 1970s sci fi movie of an astronaut discovering a martian aircraft on mars\",\nall the frames of video are as 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" } ]
7002427
[ "7002427_00.jpg", "7002427_01.jpg", "7002427_02.jpg", "7002427_03.jpg", "7002427_04.jpg", "7002427_05.jpg", "7002427_06.jpg", "7002427_07.jpg" ]
a round world with hopping living popcorn on the world in the eternity
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002427.mp4
2
2
2
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a round world with hopping living popcorn on the world in the eternity\",\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: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
4001664
[ "4001664_00.jpg", "4001664_01.jpg", "4001664_02.jpg", "4001664_03.jpg", "4001664_04.jpg", "4001664_05.jpg", "4001664_06.jpg", "4001664_07.jpg", "4001664_08.jpg", "4001664_09.jpg", "4001664_10.jpg", "4001664_11.jpg", "4001664_12.jpg", "4001664_13.jpg", "4001664_14.jpg", "4001664_15.jpg" ]
big wall infront of a trophy
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001664.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 \"big wall infront of a trophy\",\nall the frames of video are as 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" } ]
8002867
[ "8002867_00.jpg", "8002867_01.jpg", "8002867_02.jpg", "8002867_03.jpg", "8002867_04.jpg", "8002867_05.jpg", "8002867_06.jpg", "8002867_07.jpg", "8002867_08.jpg", "8002867_09.jpg", "8002867_10.jpg", "8002867_11.jpg", "8002867_12.jpg", "8002867_13.jpg", "8002867_14.jpg", "8002867_15.jpg", "8002867_16.jpg", "8002867_17.jpg", "8002867_18.jpg", "8002867_19.jpg", "8002867_20.jpg", "8002867_21.jpg", "8002867_22.jpg", "8002867_23.jpg" ]
Sergei Lavrov is a member of the Wagner PMC
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002867.mp4
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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 \"Sergei Lavrov is a member of the Wagner PMC\",\nall the 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" } ]
8002242
[ "8002242_00.jpg", "8002242_01.jpg", "8002242_02.jpg", "8002242_03.jpg", "8002242_04.jpg", "8002242_05.jpg", "8002242_06.jpg", "8002242_07.jpg", "8002242_08.jpg", "8002242_09.jpg", "8002242_10.jpg", "8002242_11.jpg", "8002242_12.jpg", "8002242_13.jpg", "8002242_14.jpg", "8002242_15.jpg", "8002242_16.jpg", "8002242_17.jpg", "8002242_18.jpg", "8002242_19.jpg", "8002242_20.jpg", "8002242_21.jpg", "8002242_22.jpg", "8002242_23.jpg" ]
The magical kite led a kids Mia, Ben and leo to a land of candy trees, where they feasted on chocolate leaves and gumdrop fruits. Cinematic, cartoon style.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002242.mp4
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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 \"The magical kite led a kids Mia, Ben and leo to a land of candy trees, where they feasted on chocolate leaves and gumdrop fruits. Cinematic, 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> <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" } ]
9000858
[ "9000858_00.jpg", "9000858_01.jpg", "9000858_02.jpg", "9000858_03.jpg", "9000858_04.jpg", "9000858_05.jpg", "9000858_06.jpg", "9000858_07.jpg", "9000858_08.jpg", "9000858_09.jpg", "9000858_10.jpg", "9000858_11.jpg", "9000858_12.jpg", "9000858_13.jpg", "9000858_14.jpg", "9000858_15.jpg", "9000858_16.jpg", "9000858_17.jpg", "9000858_18.jpg", "9000858_19.jpg", "9000858_20.jpg", "9000858_21.jpg", "9000858_22.jpg", "9000858_23.jpg" ]
a robot vanishing into the forest after a massive war
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000858.mp4
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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 \"a robot vanishing into the forest after a massive war\",\nall the 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" } ]