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947
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89
89
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int64
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4
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int64
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int64
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int64
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3001328
[ "3001328_00.jpg", "3001328_01.jpg", "3001328_02.jpg", "3001328_03.jpg", "3001328_04.jpg", "3001328_05.jpg", "3001328_06.jpg", "3001328_07.jpg", "3001328_08.jpg", "3001328_09.jpg", "3001328_10.jpg", "3001328_11.jpg", "3001328_12.jpg", "3001328_13.jpg", "3001328_14.jpg", "3001328_15.jpg" ]
man brewing beer with fancy equipment
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001328.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 \"man brewing beer with fancy equipment\",\nall the frames of video are as 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" } ]
2001141
[ "2001141_00.jpg", "2001141_01.jpg", "2001141_02.jpg", "2001141_03.jpg", "2001141_04.jpg", "2001141_05.jpg", "2001141_06.jpg", "2001141_07.jpg", "2001141_08.jpg", "2001141_09.jpg", "2001141_10.jpg", "2001141_11.jpg", "2001141_12.jpg", "2001141_13.jpg", "2001141_14.jpg", "2001141_15.jpg" ]
While seeking refuge on a deserted island The travelers, hopeful, followed the elusive light to a clearing where torches flickered, illuminating a village shrouded in shadows. animation dark horror scary style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001141.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 \"While seeking refuge on a deserted island The travelers, hopeful, followed the elusive light to a clearing where torches flickered, illuminating a village shrouded in shadows. animation dark horror scary style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1006362
[ "1006362_00.jpg", "1006362_01.jpg", "1006362_02.jpg", "1006362_03.jpg", "1006362_04.jpg", "1006362_05.jpg", "1006362_06.jpg", "1006362_07.jpg", "1006362_08.jpg", "1006362_09.jpg", "1006362_10.jpg", "1006362_11.jpg", "1006362_12.jpg", "1006362_13.jpg", "1006362_14.jpg", "1006362_15.jpg" ]
vehicle moving through the city,road and buildings are passing by getting blurry back in the background , rain
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006362.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 \"vehicle moving through the city,road and buildings are passing by getting blurry back in the background , rain\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
4002766
[ "4002766_00.jpg", "4002766_01.jpg", "4002766_02.jpg", "4002766_03.jpg", "4002766_04.jpg", "4002766_05.jpg", "4002766_06.jpg", "4002766_07.jpg", "4002766_08.jpg", "4002766_09.jpg", "4002766_10.jpg", "4002766_11.jpg", "4002766_12.jpg", "4002766_13.jpg", "4002766_14.jpg", "4002766_15.jpg" ]
A person walking into a house with a white dog
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002766.mp4
3
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A person walking into a house with a white dog\",\nall the frames of video are as 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" } ]
3000386
[ "3000386_00.jpg", "3000386_01.jpg", "3000386_02.jpg", "3000386_03.jpg", "3000386_04.jpg", "3000386_05.jpg", "3000386_06.jpg", "3000386_07.jpg", "3000386_08.jpg", "3000386_09.jpg", "3000386_10.jpg", "3000386_11.jpg", "3000386_12.jpg", "3000386_13.jpg", "3000386_14.jpg", "3000386_15.jpg" ]
beginning of time visuals chromatic aberration
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000386.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 \"beginning of time visuals chromatic aberration\",\nall the frames of video are as 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" } ]
1001428
[ "1001428_00.jpg", "1001428_01.jpg", "1001428_02.jpg", "1001428_03.jpg", "1001428_04.jpg", "1001428_05.jpg", "1001428_06.jpg", "1001428_07.jpg", "1001428_08.jpg", "1001428_09.jpg", "1001428_10.jpg", "1001428_11.jpg", "1001428_12.jpg", "1001428_13.jpg", "1001428_14.jpg", "1001428_15.jpg" ]
Write an story of interrogation in secret basement about secret informations, interrogated person is angry and aggresive.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001428.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 \"Write an story of interrogation in secret basement about secret informations, interrogated person is angry and aggresive.\",\nall the frames of video are as 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" } ]
4001043
[ "4001043_00.jpg", "4001043_01.jpg", "4001043_02.jpg", "4001043_03.jpg", "4001043_04.jpg", "4001043_05.jpg", "4001043_06.jpg", "4001043_07.jpg", "4001043_08.jpg", "4001043_09.jpg", "4001043_10.jpg", "4001043_11.jpg", "4001043_12.jpg", "4001043_13.jpg", "4001043_14.jpg", "4001043_15.jpg" ]
Cyberpunk neon neighborhoods weave through the city
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001043.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 \"Cyberpunk neon neighborhoods weave through the city\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
7000025
[ "7000025_00.jpg", "7000025_01.jpg", "7000025_02.jpg", "7000025_03.jpg", "7000025_04.jpg", "7000025_05.jpg", "7000025_06.jpg", "7000025_07.jpg" ]
3d animation, horror film style, a graying renaissance professor in red cloak with white fur lining in front of a classroom laboratory, pacing back and forth while gesturing with arms and face and talking.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000025.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 \"3d animation, horror film style, a graying renaissance professor in red cloak with white fur lining in front of a classroom laboratory, pacing back and forth while gesturing with arms and face and talking.\",\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" } ]
s000251
[ "s000251_00.jpg", "s000251_01.jpg", "s000251_02.jpg", "s000251_03.jpg", "s000251_04.jpg", "s000251_05.jpg", "s000251_06.jpg", "s000251_07.jpg", "s000251_08.jpg", "s000251_09.jpg", "s000251_10.jpg", "s000251_11.jpg", "s000251_12.jpg", "s000251_13.jpg", "s000251_14.jpg", "s000251_15.jpg", "s000251_16.jpg", "s000251_17.jpg", "s000251_18.jpg", "s000251_19.jpg" ]
airplane flying in the colorful clouds
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000251.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 \"airplane flying in the colorful clouds\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
6000604
[ "6000604_00.jpg", "6000604_01.jpg", "6000604_02.jpg", "6000604_03.jpg", "6000604_04.jpg", "6000604_05.jpg", "6000604_06.jpg", "6000604_07.jpg", "6000604_08.jpg", "6000604_09.jpg", "6000604_10.jpg", "6000604_11.jpg", "6000604_12.jpg", "6000604_13.jpg", "6000604_14.jpg", "6000604_15.jpg" ]
robots marching down the street in Michigan
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000604.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 \"robots marching down the street in Michigan\",\nall the frames of video are as 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" } ]
2001019
[ "2001019_00.jpg", "2001019_01.jpg", "2001019_02.jpg", "2001019_03.jpg", "2001019_04.jpg", "2001019_05.jpg", "2001019_06.jpg", "2001019_07.jpg", "2001019_08.jpg", "2001019_09.jpg", "2001019_10.jpg", "2001019_11.jpg", "2001019_12.jpg", "2001019_13.jpg", "2001019_14.jpg", "2001019_15.jpg" ]
showing a series of social problems, such as deforestation, ocean pollution, urban traffic congestion, etc., highlighting the environmental impact of human activities
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001019.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 \"showing a series of social problems, such as deforestation, ocean pollution, urban traffic congestion, etc., highlighting the environmental impact of human activities\",\nall the frames of video are as 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" } ]
3002261
[ "3002261_00.jpg", "3002261_01.jpg", "3002261_02.jpg", "3002261_03.jpg", "3002261_04.jpg", "3002261_05.jpg", "3002261_06.jpg", "3002261_07.jpg", "3002261_08.jpg", "3002261_09.jpg", "3002261_10.jpg", "3002261_11.jpg", "3002261_12.jpg", "3002261_13.jpg", "3002261_14.jpg", "3002261_15.jpg" ]
Paul Trillo is a multi-disciplinary artist, writer, and director whose work has earned accolades from outlets like Rolling Stone and The New Yorker. Paul has garnered 19 Vimeo Staff Picks, an honor given to the best short films hosted on Vimeo. “Working with Sora is the first time I’ve felt unchained as a filmmaker,” he states. “Not restricted by time, money, other people’s permission, I can ideate and experiment in bold and exciting ways.” His experimental videos reflect this approach. “Sora is at its most powerful when you’re not replicating the old but bringing to life new and impossible ideas we would have otherwise never had the opportunity to see.”
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002261.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 \"Paul Trillo is a multi-disciplinary artist, writer, and director whose work has earned accolades from outlets like Rolling Stone and The New Yorker. Paul has garnered 19 Vimeo Staff Picks, an honor given to the best short films hosted on Vimeo. “Working with Sora is the first time I’ve felt unchained as a filmmaker,” he states. “Not restricted by time, money, other people’s permission, I can ideate and experiment in bold and exciting ways.” His experimental videos reflect this approach. “Sora is at its most powerful when you’re not replicating the old but bringing to life new and impossible ideas we would have otherwise never had the opportunity to see.”\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
7001026
[ "7001026_00.jpg", "7001026_01.jpg", "7001026_02.jpg", "7001026_03.jpg", "7001026_04.jpg", "7001026_05.jpg", "7001026_06.jpg", "7001026_07.jpg" ]
4k, cinematic view with a background of stars and galaxies
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001026.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 \"4k, cinematic view with a background of stars and galaxies\",\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: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3002562
[ "3002562_00.jpg", "3002562_01.jpg", "3002562_02.jpg", "3002562_03.jpg", "3002562_04.jpg", "3002562_05.jpg", "3002562_06.jpg", "3002562_07.jpg", "3002562_08.jpg", "3002562_09.jpg", "3002562_10.jpg", "3002562_11.jpg", "3002562_12.jpg", "3002562_13.jpg", "3002562_14.jpg", "3002562_15.jpg" ]
visualization of a lexus car in the form of a human body
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002562.mp4
2
3
1
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"visualization of a lexus car in the form of a human body\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6003488
[ "6003488_00.jpg", "6003488_01.jpg", "6003488_02.jpg", "6003488_03.jpg", "6003488_04.jpg", "6003488_05.jpg", "6003488_06.jpg", "6003488_07.jpg", "6003488_08.jpg", "6003488_09.jpg", "6003488_10.jpg", "6003488_11.jpg", "6003488_12.jpg", "6003488_13.jpg", "6003488_14.jpg", "6003488_15.jpg" ]
a cat pulled the sleigh across the stars
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003488.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a cat pulled the sleigh across the stars\",\nall the frames of video are as 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" } ]
0001607
[ "0001607_00.jpg", "0001607_01.jpg", "0001607_02.jpg", "0001607_03.jpg", "0001607_04.jpg", "0001607_05.jpg", "0001607_06.jpg", "0001607_07.jpg", "0001607_08.jpg", "0001607_09.jpg", "0001607_10.jpg", "0001607_11.jpg", "0001607_12.jpg", "0001607_13.jpg", "0001607_14.jpg", "0001607_15.jpg", "0001607_16.jpg", "0001607_17.jpg", "0001607_18.jpg", "0001607_19.jpg", "0001607_20.jpg", "0001607_21.jpg", "0001607_22.jpg", "0001607_23.jpg" ]
the boy in teh image moves
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001607.mp4
3
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"the boy in teh image moves\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
4000151
[ "4000151_00.jpg", "4000151_01.jpg", "4000151_02.jpg", "4000151_03.jpg", "4000151_04.jpg", "4000151_05.jpg", "4000151_06.jpg", "4000151_07.jpg", "4000151_08.jpg", "4000151_09.jpg", "4000151_10.jpg", "4000151_11.jpg", "4000151_12.jpg", "4000151_13.jpg", "4000151_14.jpg", "4000151_15.jpg" ]
early 19th century men fishing in a stream in the countryside in the Cotswolds, UK
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000151.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 \"early 19th century men fishing in a stream in the countryside in the Cotswolds, UK\",\nall the frames of video are as 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" } ]
4003966
[ "4003966_00.jpg", "4003966_01.jpg", "4003966_02.jpg", "4003966_03.jpg", "4003966_04.jpg", "4003966_05.jpg", "4003966_06.jpg", "4003966_07.jpg", "4003966_08.jpg", "4003966_09.jpg", "4003966_10.jpg", "4003966_11.jpg", "4003966_12.jpg", "4003966_13.jpg", "4003966_14.jpg", "4003966_15.jpg" ]
jars full of body parts in an abandoned hospital, cinematic, realism, the chainsaw massacre movie style, the ring movie style, horror, old movie , 1970, old film, focus, camera pan in, VHS, Blair witch project
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003966.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 \"jars full of body parts in an abandoned hospital, cinematic, realism, the chainsaw massacre movie style, the ring movie style, horror, old movie , 1970, old film, focus, camera pan in, VHS, Blair witch project\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
2002881
[ "2002881_00.jpg", "2002881_01.jpg", "2002881_02.jpg", "2002881_03.jpg", "2002881_04.jpg", "2002881_05.jpg", "2002881_06.jpg", "2002881_07.jpg", "2002881_08.jpg", "2002881_09.jpg", "2002881_10.jpg", "2002881_11.jpg", "2002881_12.jpg", "2002881_13.jpg", "2002881_14.jpg", "2002881_15.jpg" ]
a little girl is playing with a toy bear in the garden ,winter
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002881.mp4
3
2
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a little girl is playing with a toy bear in the garden ,winter\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
2000589
[ "2000589_00.jpg", "2000589_01.jpg", "2000589_02.jpg", "2000589_03.jpg", "2000589_04.jpg", "2000589_05.jpg", "2000589_06.jpg", "2000589_07.jpg", "2000589_08.jpg", "2000589_09.jpg", "2000589_10.jpg", "2000589_11.jpg", "2000589_12.jpg", "2000589_13.jpg", "2000589_14.jpg", "2000589_15.jpg" ]
long video of group of students at university play football afetr basketball without ball
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000589.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 \"long video of group of students at university play football afetr basketball without ball\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
2005197
[ "2005197_00.jpg", "2005197_01.jpg", "2005197_02.jpg", "2005197_03.jpg", "2005197_04.jpg", "2005197_05.jpg", "2005197_06.jpg", "2005197_07.jpg", "2005197_08.jpg", "2005197_09.jpg", "2005197_10.jpg", "2005197_11.jpg", "2005197_12.jpg", "2005197_13.jpg", "2005197_14.jpg", "2005197_15.jpg" ]
ar 9:16, an old man dances rock and roll
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005197.mp4
3
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"ar 9:16, an old man dances rock and roll\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
0001500
[ "0001500_00.jpg", "0001500_01.jpg", "0001500_02.jpg", "0001500_03.jpg", "0001500_04.jpg", "0001500_05.jpg", "0001500_06.jpg", "0001500_07.jpg", "0001500_08.jpg", "0001500_09.jpg", "0001500_10.jpg", "0001500_11.jpg", "0001500_12.jpg", "0001500_13.jpg", "0001500_14.jpg", "0001500_15.jpg", "0001500_16.jpg", "0001500_17.jpg", "0001500_18.jpg", "0001500_19.jpg", "0001500_20.jpg", "0001500_21.jpg", "0001500_22.jpg", "0001500_23.jpg" ]
Agartha is said to be a sanctuary of wisdom, peace, and incredible technological advancements
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001500.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 \"Agartha is said to be a sanctuary of wisdom, peace, and incredible technological advancements\",\nall the 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" } ]
1002571
[ "1002571_00.jpg", "1002571_01.jpg", "1002571_02.jpg", "1002571_03.jpg", "1002571_04.jpg", "1002571_05.jpg", "1002571_06.jpg", "1002571_07.jpg", "1002571_08.jpg", "1002571_09.jpg", "1002571_10.jpg", "1002571_11.jpg", "1002571_12.jpg", "1002571_13.jpg", "1002571_14.jpg", "1002571_15.jpg" ]
wonderful mouse playing atfayri winter sunset in the woods with a lot of snow and magic colors
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002571.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 \"wonderful mouse playing atfayri winter sunset in the woods with a lot of snow and magic colors\",\nall the frames of video are as 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" } ]
1000897
[ "1000897_00.jpg", "1000897_01.jpg", "1000897_02.jpg", "1000897_03.jpg", "1000897_04.jpg", "1000897_05.jpg", "1000897_06.jpg", "1000897_07.jpg", "1000897_08.jpg", "1000897_09.jpg", "1000897_10.jpg", "1000897_11.jpg", "1000897_12.jpg", "1000897_13.jpg", "1000897_14.jpg", "1000897_15.jpg" ]
Ethiopian ancient adventure war movie trailer.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000897.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 \"Ethiopian ancient adventure war movie trailer.\",\nall the frames of video are as 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" } ]
4001970
[ "4001970_00.jpg", "4001970_01.jpg", "4001970_02.jpg", "4001970_03.jpg", "4001970_04.jpg", "4001970_05.jpg", "4001970_06.jpg", "4001970_07.jpg", "4001970_08.jpg", "4001970_09.jpg", "4001970_10.jpg", "4001970_11.jpg", "4001970_12.jpg", "4001970_13.jpg", "4001970_14.jpg", "4001970_15.jpg" ]
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001970.mp4
3
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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 \"\",\nall the frames of video are as 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" } ]
7000436
[ "7000436_00.jpg", "7000436_01.jpg", "7000436_02.jpg", "7000436_03.jpg", "7000436_04.jpg", "7000436_05.jpg", "7000436_06.jpg", "7000436_07.jpg" ]
Sarah, a young woman with a disability, sits on the porch of her house, watching children play in the fields.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000436.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 \"Sarah, a young woman with a disability, sits on the porch of her house, watching children play in the fields.\",\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" } ]
1002088
[ "1002088_00.jpg", "1002088_01.jpg", "1002088_02.jpg", "1002088_03.jpg", "1002088_04.jpg", "1002088_05.jpg", "1002088_06.jpg", "1002088_07.jpg", "1002088_08.jpg", "1002088_09.jpg", "1002088_10.jpg", "1002088_11.jpg", "1002088_12.jpg", "1002088_13.jpg", "1002088_14.jpg", "1002088_15.jpg" ]
a loopable video with 10 second playtime. Cinematic. Purple night desert. Owl on a dried tree
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002088.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a loopable video with 10 second playtime. Cinematic. Purple night desert. Owl on a dried 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: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0002174
[ "0002174_00.jpg", "0002174_01.jpg", "0002174_02.jpg", "0002174_03.jpg", "0002174_04.jpg", "0002174_05.jpg", "0002174_06.jpg", "0002174_07.jpg", "0002174_08.jpg", "0002174_09.jpg", "0002174_10.jpg", "0002174_11.jpg", "0002174_12.jpg", "0002174_13.jpg", "0002174_14.jpg", "0002174_15.jpg", "0002174_16.jpg", "0002174_17.jpg", "0002174_18.jpg", "0002174_19.jpg", "0002174_20.jpg", "0002174_21.jpg", "0002174_22.jpg", "0002174_23.jpg" ]
darkness space in life your love is the greatest thing for her
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002174.mp4
2
3
2
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"darkness space in life your love is the greatest thing for her\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6001750
[ "6001750_00.jpg", "6001750_01.jpg", "6001750_02.jpg", "6001750_03.jpg", "6001750_04.jpg", "6001750_05.jpg", "6001750_06.jpg", "6001750_07.jpg", "6001750_08.jpg", "6001750_09.jpg", "6001750_10.jpg", "6001750_11.jpg", "6001750_12.jpg", "6001750_13.jpg", "6001750_14.jpg", "6001750_15.jpg" ]
in the back panel there is vuan fiyaa, in the front panel there is sakry and det wind.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001750.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 back panel there is vuan fiyaa, in the front panel there is sakry and det wind.\",\nall the frames of video are as 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" } ]
0000661
[ "0000661_00.jpg", "0000661_01.jpg", "0000661_02.jpg", "0000661_03.jpg", "0000661_04.jpg", "0000661_05.jpg", "0000661_06.jpg", "0000661_07.jpg", "0000661_08.jpg", "0000661_09.jpg", "0000661_10.jpg", "0000661_11.jpg", "0000661_12.jpg", "0000661_13.jpg", "0000661_14.jpg", "0000661_15.jpg", "0000661_16.jpg", "0000661_17.jpg", "0000661_18.jpg", "0000661_19.jpg", "0000661_20.jpg", "0000661_21.jpg", "0000661_22.jpg", "0000661_23.jpg" ]
human hand grabs the bird off the brunch
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000661.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 \"human hand grabs the bird off the brunch\",\nall the 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" } ]
2000942
[ "2000942_00.jpg", "2000942_01.jpg", "2000942_02.jpg", "2000942_03.jpg", "2000942_04.jpg", "2000942_05.jpg", "2000942_06.jpg", "2000942_07.jpg", "2000942_08.jpg", "2000942_09.jpg", "2000942_10.jpg", "2000942_11.jpg", "2000942_12.jpg", "2000942_13.jpg", "2000942_14.jpg", "2000942_15.jpg" ]
In a dark room, a man lies on the bed
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000942.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 \"In a dark room, a man lies on the bed\",\nall the frames of video are as 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" } ]
6000273
[ "6000273_00.jpg", "6000273_01.jpg", "6000273_02.jpg", "6000273_03.jpg", "6000273_04.jpg", "6000273_05.jpg", "6000273_06.jpg", "6000273_07.jpg", "6000273_08.jpg", "6000273_09.jpg", "6000273_10.jpg", "6000273_11.jpg", "6000273_12.jpg", "6000273_13.jpg", "6000273_14.jpg", "6000273_15.jpg" ]
Whiskers, the adventurous cat, explores the vibrant jungle, captivated by its mysteries.cartoon
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000273.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 \"Whiskers, the adventurous cat, explores the vibrant jungle, captivated by its mysteries.cartoon\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6000517
[ "6000517_00.jpg", "6000517_01.jpg", "6000517_02.jpg", "6000517_03.jpg", "6000517_04.jpg", "6000517_05.jpg", "6000517_06.jpg", "6000517_07.jpg", "6000517_08.jpg", "6000517_09.jpg", "6000517_10.jpg", "6000517_11.jpg", "6000517_12.jpg", "6000517_13.jpg", "6000517_14.jpg", "6000517_15.jpg" ]
realistic animation of a heart that begins to transform into a brain
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000517.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 \"realistic animation of a heart that begins to transform into a brain\",\nall the frames of video are as 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" } ]
3002969
[ "3002969_00.jpg", "3002969_01.jpg", "3002969_02.jpg", "3002969_03.jpg", "3002969_04.jpg", "3002969_05.jpg", "3002969_06.jpg", "3002969_07.jpg", "3002969_08.jpg", "3002969_09.jpg", "3002969_10.jpg", "3002969_11.jpg", "3002969_12.jpg", "3002969_13.jpg", "3002969_14.jpg", "3002969_15.jpg" ]
black sand, black volcano with red lava flowing out of it Message: Tsareva (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002969.mp4
2
3
2
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"black sand, black volcano with red lava flowing out of it Message: Tsareva (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
0002737
[ "0002737_00.jpg", "0002737_01.jpg", "0002737_02.jpg", "0002737_03.jpg", "0002737_04.jpg", "0002737_05.jpg", "0002737_06.jpg", "0002737_07.jpg", "0002737_08.jpg", "0002737_09.jpg", "0002737_10.jpg", "0002737_11.jpg", "0002737_12.jpg", "0002737_13.jpg", "0002737_14.jpg", "0002737_15.jpg", "0002737_16.jpg", "0002737_17.jpg", "0002737_18.jpg", "0002737_19.jpg", "0002737_20.jpg", "0002737_21.jpg", "0002737_22.jpg", "0002737_23.jpg" ]
1920s oil well pumping oil while several men stand around
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002737.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 \"1920s oil well pumping oil while several men stand around\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
5001151
[ "5001151_00.jpg", "5001151_01.jpg", "5001151_02.jpg", "5001151_03.jpg", "5001151_04.jpg", "5001151_05.jpg", "5001151_06.jpg", "5001151_07.jpg", "5001151_08.jpg", "5001151_09.jpg", "5001151_10.jpg", "5001151_11.jpg", "5001151_12.jpg", "5001151_13.jpg", "5001151_14.jpg", "5001151_15.jpg" ]
An image of a boy deciding not to steal and leaving the money behind.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001151.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 \"An image of a boy deciding not to steal and leaving the money behind.\",\nall the frames of video are as 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" } ]
7000835
[ "7000835_00.jpg", "7000835_01.jpg", "7000835_02.jpg", "7000835_03.jpg", "7000835_04.jpg", "7000835_05.jpg", "7000835_06.jpg", "7000835_07.jpg" ]
A robot MechWarrior like Gundam wing or transformers, but in the style of formula 1 Mercedes racing car, F1 silver arrows
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000835.mp4
3
2
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A robot MechWarrior like Gundam wing or transformers, but in the style of formula 1 Mercedes racing car, F1 silver arrows\",\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" } ]
s000316
[ "s000316_00.jpg", "s000316_01.jpg", "s000316_02.jpg", "s000316_03.jpg", "s000316_04.jpg", "s000316_05.jpg", "s000316_06.jpg", "s000316_07.jpg", "s000316_08.jpg", "s000316_09.jpg", "s000316_10.jpg", "s000316_11.jpg", "s000316_12.jpg", "s000316_13.jpg", "s000316_14.jpg", "s000316_15.jpg", "s000316_16.jpg", "s000316_17.jpg", "s000316_18.jpg", "s000316_19.jpg", "s000316_20.jpg", "s000316_21.jpg", "s000316_22.jpg", "s000316_23.jpg" ]
a close up shot of an anime character where just the background moves.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000316.mp4
4
4
4
0
4
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a close up shot of an anime character where just the background moves.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n" } ]
0001775
[ "0001775_00.jpg", "0001775_01.jpg", "0001775_02.jpg", "0001775_03.jpg", "0001775_04.jpg", "0001775_05.jpg", "0001775_06.jpg", "0001775_07.jpg", "0001775_08.jpg", "0001775_09.jpg", "0001775_10.jpg", "0001775_11.jpg", "0001775_12.jpg", "0001775_13.jpg", "0001775_14.jpg", "0001775_15.jpg", "0001775_16.jpg", "0001775_17.jpg", "0001775_18.jpg", "0001775_19.jpg", "0001775_20.jpg", "0001775_21.jpg", "0001775_22.jpg", "0001775_23.jpg" ]
a blonde girl lifeguard running on the beach. Full body shot. Photorealistic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001775.mp4
2
3
1
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a blonde girl lifeguard running on the beach. Full body shot. Photorealistic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
2006814
[ "2006814_00.jpg", "2006814_01.jpg", "2006814_02.jpg", "2006814_03.jpg", "2006814_04.jpg", "2006814_05.jpg", "2006814_06.jpg", "2006814_07.jpg", "2006814_08.jpg", "2006814_09.jpg", "2006814_10.jpg", "2006814_11.jpg", "2006814_12.jpg", "2006814_13.jpg", "2006814_14.jpg", "2006814_15.jpg" ]
With caution, she extends her bionic hand to interface with the crystal, and in an instant, she is transported into a virtual realm of cyberpunk marvels.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006814.mp4
3
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"With caution, she extends her bionic hand to interface with the crystal, and in an instant, she is transported into a virtual realm of cyberpunk marvels.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
6002355
[ "6002355_00.jpg", "6002355_01.jpg", "6002355_02.jpg", "6002355_03.jpg", "6002355_04.jpg", "6002355_05.jpg", "6002355_06.jpg", "6002355_07.jpg", "6002355_08.jpg", "6002355_09.jpg", "6002355_10.jpg", "6002355_11.jpg", "6002355_12.jpg", "6002355_13.jpg", "6002355_14.jpg", "6002355_15.jpg" ]
one ice cream cone rotating on its vertical axis, at slow speed, on a light blue background 2 meters away. Realistic style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002355.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 \"one ice cream cone rotating on its vertical axis, at slow speed, on a light blue background 2 meters away. Realistic style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
8000649
[ "8000649_00.jpg", "8000649_01.jpg", "8000649_02.jpg", "8000649_03.jpg", "8000649_04.jpg", "8000649_05.jpg", "8000649_06.jpg", "8000649_07.jpg", "8000649_08.jpg", "8000649_09.jpg", "8000649_10.jpg", "8000649_11.jpg", "8000649_12.jpg", "8000649_13.jpg", "8000649_14.jpg", "8000649_15.jpg", "8000649_16.jpg", "8000649_17.jpg", "8000649_18.jpg", "8000649_19.jpg", "8000649_20.jpg", "8000649_21.jpg", "8000649_22.jpg", "8000649_23.jpg" ]
Birds Flying With Sun View Cartoon Animation, 2d Animation Of Flying Birds And Sun Rising On The Sky And Clouds Are Moving.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000649.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 \"Birds Flying With Sun View Cartoon Animation, 2d Animation Of Flying Birds And Sun Rising On The Sky And Clouds Are Moving.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
s000386
[ "s000386_00.jpg", "s000386_01.jpg", "s000386_02.jpg", "s000386_03.jpg", "s000386_04.jpg", "s000386_05.jpg", "s000386_06.jpg", "s000386_07.jpg", "s000386_08.jpg", "s000386_09.jpg", "s000386_10.jpg", "s000386_11.jpg", "s000386_12.jpg", "s000386_13.jpg", "s000386_14.jpg", "s000386_15.jpg", "s000386_16.jpg", "s000386_17.jpg", "s000386_18.jpg", "s000386_19.jpg", "s000386_20.jpg", "s000386_21.jpg", "s000386_22.jpg", "s000386_23.jpg" ]
hunters putting down their weapons and leaving the jungle, capturing the moment of change and resolution.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000386.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 \"hunters putting down their weapons and leaving the jungle, capturing the moment of change and resolution.\",\nall the 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" } ]
3000614
[ "3000614_00.jpg", "3000614_01.jpg", "3000614_02.jpg", "3000614_03.jpg", "3000614_04.jpg", "3000614_05.jpg", "3000614_06.jpg", "3000614_07.jpg", "3000614_08.jpg", "3000614_09.jpg", "3000614_10.jpg", "3000614_11.jpg", "3000614_12.jpg", "3000614_13.jpg", "3000614_14.jpg", "3000614_15.jpg" ]
Three missing walkers have been found dead after failing to come home after a hike at the weekend, police have said. Emergency services were called to the Aonach Eagach Ridge on Saturday after the group were reported missing shortly after 9pm. Police, HM Coastguard, the RAF and Glencoe Mountain Rescue team were dispatched to the scene to locate the missing hikers. Tragically their bodies were discovered a short time later and a recovery operation took place. Police Scotland said there do not appear to be any suspicious circumstances surrounding the deaths, reports the Scottish Daily Express.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000614.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 \"Three missing walkers have been found dead after failing to come home after a hike at the weekend, police have said. Emergency services were called to the Aonach Eagach Ridge on Saturday after the group were reported missing shortly after 9pm. Police, HM Coastguard, the RAF and Glencoe Mountain Rescue team were dispatched to the scene to locate the missing hikers. Tragically their bodies were discovered a short time later and a recovery operation took place. Police Scotland said there do not appear to be any suspicious circumstances surrounding the deaths, reports the Scottish Daily Express.\",\nall the frames of video are as 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" } ]
2001378
[ "2001378_00.jpg", "2001378_01.jpg", "2001378_02.jpg", "2001378_03.jpg", "2001378_04.jpg", "2001378_05.jpg", "2001378_06.jpg", "2001378_07.jpg", "2001378_08.jpg", "2001378_09.jpg", "2001378_10.jpg", "2001378_11.jpg", "2001378_12.jpg", "2001378_13.jpg", "2001378_14.jpg", "2001378_15.jpg" ]
a dog in a red hat going down a pool slide
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001378.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 dog in a red hat going down a pool slide\",\nall the frames of video are as 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" } ]
5001675
[ "5001675_00.jpg", "5001675_01.jpg", "5001675_02.jpg", "5001675_03.jpg", "5001675_04.jpg", "5001675_05.jpg", "5001675_06.jpg", "5001675_07.jpg", "5001675_08.jpg", "5001675_09.jpg", "5001675_10.jpg", "5001675_11.jpg", "5001675_12.jpg", "5001675_13.jpg", "5001675_14.jpg", "5001675_15.jpg" ]
A beautiful homemade video showing the people of Lagos, Nigeria in the year 2056. Shot with a mobile phone camera.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001675.mp4
1
2
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A beautiful homemade video showing the people of Lagos, Nigeria in the year 2056. Shot with a mobile phone camera.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3001507
[ "3001507_00.jpg", "3001507_01.jpg", "3001507_02.jpg", "3001507_03.jpg", "3001507_04.jpg", "3001507_05.jpg", "3001507_06.jpg", "3001507_07.jpg", "3001507_08.jpg", "3001507_09.jpg", "3001507_10.jpg", "3001507_11.jpg", "3001507_12.jpg", "3001507_13.jpg", "3001507_14.jpg", "3001507_15.jpg" ]
butterfly flying through a dirt road in a field
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001507.mp4
2
3
1
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"butterfly flying through a dirt road in a field\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6004932
[ "6004932_00.jpg", "6004932_01.jpg", "6004932_02.jpg", "6004932_03.jpg", "6004932_04.jpg", "6004932_05.jpg", "6004932_06.jpg", "6004932_07.jpg", "6004932_08.jpg", "6004932_09.jpg", "6004932_10.jpg", "6004932_11.jpg", "6004932_12.jpg", "6004932_13.jpg", "6004932_14.jpg", "6004932_15.jpg" ]
A wounded lion and a pack of hungry wolves fight on the road, surrounded by speeding trains
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004932.mp4
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0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A wounded lion and a pack of hungry wolves fight on the road, surrounded by speeding trains\",\nall the frames of video are as 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" } ]
1002161
[ "1002161_00.jpg", "1002161_01.jpg", "1002161_02.jpg", "1002161_03.jpg", "1002161_04.jpg", "1002161_05.jpg", "1002161_06.jpg", "1002161_07.jpg", "1002161_08.jpg", "1002161_09.jpg", "1002161_10.jpg", "1002161_11.jpg", "1002161_12.jpg", "1002161_13.jpg", "1002161_14.jpg", "1002161_15.jpg" ]
Pıtırcık discovers his unique talent, the ability to tell stories. Pıtırcık enchants other pandas by telling his own colorful story, 3d animation, realistic, 3d, 8K,
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002161.mp4
1
1
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0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Pıtırcık discovers his unique talent, the ability to tell stories. Pıtırcık enchants other pandas by telling his own colorful story, 3d animation, realistic, 3d, 8K,\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1000528
[ "1000528_00.jpg", "1000528_01.jpg", "1000528_02.jpg", "1000528_03.jpg", "1000528_04.jpg", "1000528_05.jpg", "1000528_06.jpg", "1000528_07.jpg", "1000528_08.jpg", "1000528_09.jpg", "1000528_10.jpg", "1000528_11.jpg", "1000528_12.jpg", "1000528_13.jpg", "1000528_14.jpg", "1000528_15.jpg" ]
man in suit and hat, pastel illustration, walking in street of new york
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000528.mp4
1
1
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0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"man in suit and hat, pastel illustration, walking in street of new york\",\nall the frames of video are as 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" } ]
2003111
[ "2003111_00.jpg", "2003111_01.jpg", "2003111_02.jpg", "2003111_03.jpg", "2003111_04.jpg", "2003111_05.jpg", "2003111_06.jpg", "2003111_07.jpg", "2003111_08.jpg", "2003111_09.jpg", "2003111_10.jpg", "2003111_11.jpg", "2003111_12.jpg", "2003111_13.jpg", "2003111_14.jpg", "2003111_15.jpg" ]
create an animated video of a POV of walking in the park in autumn use modern art style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003111.mp4
3
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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 \"create an animated video of a POV of walking in the park in autumn use modern art style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6003898
[ "6003898_00.jpg", "6003898_01.jpg", "6003898_02.jpg", "6003898_03.jpg", "6003898_04.jpg", "6003898_05.jpg", "6003898_06.jpg", "6003898_07.jpg", "6003898_08.jpg", "6003898_09.jpg", "6003898_10.jpg", "6003898_11.jpg", "6003898_12.jpg", "6003898_13.jpg", "6003898_14.jpg", "6003898_15.jpg" ]
Swami Raman, a serene smile on his face, welcomed Rajesh into his ashram.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003898.mp4
1
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0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Swami Raman, a serene smile on his face, welcomed Rajesh into his ashram.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3005892
[ "3005892_00.jpg", "3005892_01.jpg", "3005892_02.jpg", "3005892_03.jpg", "3005892_04.jpg", "3005892_05.jpg", "3005892_06.jpg", "3005892_07.jpg", "3005892_08.jpg", "3005892_09.jpg", "3005892_10.jpg", "3005892_11.jpg", "3005892_12.jpg", "3005892_13.jpg", "3005892_14.jpg", "3005892_15.jpg" ]
confluence of two rivers with all colors
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005892.mp4
1
1
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0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"confluence of two rivers with all colors\",\nall the frames of video are as 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" } ]
6001509
[ "6001509_00.jpg", "6001509_01.jpg", "6001509_02.jpg", "6001509_03.jpg", "6001509_04.jpg", "6001509_05.jpg", "6001509_06.jpg", "6001509_07.jpg", "6001509_08.jpg", "6001509_09.jpg", "6001509_10.jpg", "6001509_11.jpg", "6001509_12.jpg", "6001509_13.jpg", "6001509_14.jpg", "6001509_15.jpg" ]
a british shorthair grey cat in the wind
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001509.mp4
1
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0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a british shorthair grey cat in the wind\",\nall the frames of video are as 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" } ]
5000728
[ "5000728_00.jpg", "5000728_01.jpg", "5000728_02.jpg", "5000728_03.jpg", "5000728_04.jpg", "5000728_05.jpg", "5000728_06.jpg", "5000728_07.jpg", "5000728_08.jpg", "5000728_09.jpg", "5000728_10.jpg", "5000728_11.jpg", "5000728_12.jpg", "5000728_13.jpg", "5000728_14.jpg", "5000728_15.jpg" ]
A Fast moving Boat with a Man On it in Ocean 16:9 of 60 Seconds
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000728.mp4
3
2
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A Fast moving Boat with a Man On it in Ocean 16:9 of 60 Seconds\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
5001633
[ "5001633_00.jpg", "5001633_01.jpg", "5001633_02.jpg", "5001633_03.jpg", "5001633_04.jpg", "5001633_05.jpg", "5001633_06.jpg", "5001633_07.jpg", "5001633_08.jpg", "5001633_09.jpg", "5001633_10.jpg", "5001633_11.jpg", "5001633_12.jpg", "5001633_13.jpg", "5001633_14.jpg", "5001633_15.jpg" ]
Gautam buddha seating near a silent leak with flying birds in sky and all view is like a heaven
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001633.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 \"Gautam buddha seating near a silent leak with flying birds in sky and all view is like a heaven\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
4001416
[ "4001416_00.jpg", "4001416_01.jpg", "4001416_02.jpg", "4001416_03.jpg", "4001416_04.jpg", "4001416_05.jpg", "4001416_06.jpg", "4001416_07.jpg", "4001416_08.jpg", "4001416_09.jpg", "4001416_10.jpg", "4001416_11.jpg", "4001416_12.jpg", "4001416_13.jpg", "4001416_14.jpg", "4001416_15.jpg" ]
Sam ALtman, Elon Musk, Bill Gates are dancing with barbie on the runway, motion, ration 16:9, photorealistic, high resolution, super realistic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001416.mp4
2
2
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0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Sam ALtman, Elon Musk, Bill Gates are dancing with barbie on the runway, motion, ration 16:9, photorealistic, high resolution, super realistic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
7004068
[ "7004068_00.jpg", "7004068_01.jpg", "7004068_02.jpg", "7004068_03.jpg", "7004068_04.jpg", "7004068_05.jpg", "7004068_06.jpg", "7004068_07.jpg" ]
Narnia is a world where animals and mythical creatures coexist harmoniously, each with its own unique qualities and abilities.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004068.mp4
2
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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 \"Narnia is a world where animals and mythical creatures coexist harmoniously, each with its own unique qualities and abilities.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1002932
[ "1002932_00.jpg", "1002932_01.jpg", "1002932_02.jpg", "1002932_03.jpg", "1002932_04.jpg", "1002932_05.jpg", "1002932_06.jpg", "1002932_07.jpg", "1002932_08.jpg", "1002932_09.jpg", "1002932_10.jpg", "1002932_11.jpg", "1002932_12.jpg", "1002932_13.jpg", "1002932_14.jpg", "1002932_15.jpg" ]
a mermaid in the ocean, with long Black hair and blue eyes
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002932.mp4
1
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0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a mermaid in the ocean, with long Black hair and blue eyes\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2002824
[ "2002824_00.jpg", "2002824_01.jpg", "2002824_02.jpg", "2002824_03.jpg", "2002824_04.jpg", "2002824_05.jpg", "2002824_06.jpg", "2002824_07.jpg", "2002824_08.jpg", "2002824_09.jpg", "2002824_10.jpg", "2002824_11.jpg", "2002824_12.jpg", "2002824_13.jpg", "2002824_14.jpg", "2002824_15.jpg" ]
A young man in a very dark room checking his mails in his laptop
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002824.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 man in a very dark room checking his mails in his laptop\",\nall the frames of video are as 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" } ]
1003589
[ "1003589_00.jpg", "1003589_01.jpg", "1003589_02.jpg", "1003589_03.jpg", "1003589_04.jpg", "1003589_05.jpg", "1003589_06.jpg", "1003589_07.jpg", "1003589_08.jpg", "1003589_09.jpg", "1003589_10.jpg", "1003589_11.jpg", "1003589_12.jpg", "1003589_13.jpg", "1003589_14.jpg", "1003589_15.jpg" ]
the doors of an elevator opening and the interior in chroma, pixar style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003589.mp4
2
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"the doors of an elevator opening and the interior in chroma, 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: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0004409
[ "0004409_00.jpg", "0004409_01.jpg", "0004409_02.jpg", "0004409_03.jpg", "0004409_04.jpg", "0004409_05.jpg", "0004409_06.jpg", "0004409_07.jpg", "0004409_08.jpg", "0004409_09.jpg", "0004409_10.jpg", "0004409_11.jpg", "0004409_12.jpg", "0004409_13.jpg", "0004409_14.jpg", "0004409_15.jpg", "0004409_16.jpg", "0004409_17.jpg", "0004409_18.jpg", "0004409_19.jpg", "0004409_20.jpg", "0004409_21.jpg", "0004409_22.jpg", "0004409_23.jpg" ]
a video of 10 seconds long which can go viral on youtube
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004409.mp4
4
4
4
0
4
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a video of 10 seconds long which can go viral on youtube\",\nall the 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" } ]
2006977
[ "2006977_00.jpg", "2006977_01.jpg", "2006977_02.jpg", "2006977_03.jpg", "2006977_04.jpg", "2006977_05.jpg", "2006977_06.jpg", "2006977_07.jpg", "2006977_08.jpg", "2006977_09.jpg", "2006977_10.jpg", "2006977_11.jpg", "2006977_12.jpg", "2006977_13.jpg", "2006977_14.jpg", "2006977_15.jpg" ]
a giraffe on the right of a bird, front view
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006977.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 giraffe on the right of a bird, front view\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
9000267
[ "9000267_00.jpg", "9000267_01.jpg", "9000267_02.jpg", "9000267_03.jpg", "9000267_04.jpg", "9000267_05.jpg", "9000267_06.jpg", "9000267_07.jpg", "9000267_08.jpg", "9000267_09.jpg", "9000267_10.jpg", "9000267_11.jpg", "9000267_12.jpg", "9000267_13.jpg", "9000267_14.jpg", "9000267_15.jpg", "9000267_16.jpg", "9000267_17.jpg", "9000267_18.jpg", "9000267_19.jpg", "9000267_20.jpg", "9000267_21.jpg", "9000267_22.jpg", "9000267_23.jpg" ]
Once upon a time, there was a young man named Jack who was struggling to find motivation in his life.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000267.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 \"Once upon a time, there was a young man named Jack who was struggling to find motivation in his life.\",\nall the 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" } ]
2000749
[ "2000749_00.jpg", "2000749_01.jpg", "2000749_02.jpg", "2000749_03.jpg", "2000749_04.jpg", "2000749_05.jpg", "2000749_06.jpg", "2000749_07.jpg", "2000749_08.jpg", "2000749_09.jpg", "2000749_10.jpg", "2000749_11.jpg", "2000749_12.jpg", "2000749_13.jpg", "2000749_14.jpg", "2000749_15.jpg" ]
a cinematic japanese male scientist waking up in a gaming chair on a futuristic moon base
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000749.mp4
3
3
1
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a cinematic japanese male scientist waking up in a gaming chair on a futuristic moon base\",\nall the frames of video are as 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" } ]
6002592
[ "6002592_00.jpg", "6002592_01.jpg", "6002592_02.jpg", "6002592_03.jpg", "6002592_04.jpg", "6002592_05.jpg", "6002592_06.jpg", "6002592_07.jpg", "6002592_08.jpg", "6002592_09.jpg", "6002592_10.jpg", "6002592_11.jpg", "6002592_12.jpg", "6002592_13.jpg", "6002592_14.jpg", "6002592_15.jpg" ]
fixe shot of rain falling on a house with a tin roof in the caribean by night
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002592.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 \"fixe shot of rain falling on a house with a tin roof in the caribean by night\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1001739
[ "1001739_00.jpg", "1001739_01.jpg", "1001739_02.jpg", "1001739_03.jpg", "1001739_04.jpg", "1001739_05.jpg", "1001739_06.jpg", "1001739_07.jpg", "1001739_08.jpg", "1001739_09.jpg", "1001739_10.jpg", "1001739_11.jpg", "1001739_12.jpg", "1001739_13.jpg", "1001739_14.jpg", "1001739_15.jpg" ]
Timesquare at night, New York, nikon, 8K
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001739.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 \"Timesquare at night, New York, nikon, 8K\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0001061
[ "0001061_00.jpg", "0001061_01.jpg", "0001061_02.jpg", "0001061_03.jpg", "0001061_04.jpg", "0001061_05.jpg", "0001061_06.jpg", "0001061_07.jpg", "0001061_08.jpg", "0001061_09.jpg", "0001061_10.jpg", "0001061_11.jpg", "0001061_12.jpg", "0001061_13.jpg", "0001061_14.jpg", "0001061_15.jpg", "0001061_16.jpg", "0001061_17.jpg", "0001061_18.jpg", "0001061_19.jpg", "0001061_20.jpg", "0001061_21.jpg", "0001061_22.jpg", "0001061_23.jpg" ]
a beautiful girl watch the clound on the sky and smile
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001061.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 beautiful girl watch the clound on the sky and 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> <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" } ]
6003157
[ "6003157_00.jpg", "6003157_01.jpg", "6003157_02.jpg", "6003157_03.jpg", "6003157_04.jpg", "6003157_05.jpg", "6003157_06.jpg", "6003157_07.jpg", "6003157_08.jpg", "6003157_09.jpg", "6003157_10.jpg", "6003157_11.jpg", "6003157_12.jpg", "6003157_13.jpg", "6003157_14.jpg", "6003157_15.jpg" ]
the marsupials at a fancy dinner
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003157.mp4
2
3
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"the marsupials at a fancy dinner\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1003612
[ "1003612_00.jpg", "1003612_01.jpg", "1003612_02.jpg", "1003612_03.jpg", "1003612_04.jpg", "1003612_05.jpg", "1003612_06.jpg", "1003612_07.jpg", "1003612_08.jpg", "1003612_09.jpg", "1003612_10.jpg", "1003612_11.jpg", "1003612_12.jpg", "1003612_13.jpg", "1003612_14.jpg", "1003612_15.jpg" ]
Bruce Lee made of water doing Kungfu
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003612.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 \"Bruce Lee made of water doing Kungfu\",\nall the frames of video are as 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" } ]
s000189
[ "s000189_00.jpg", "s000189_01.jpg", "s000189_02.jpg", "s000189_03.jpg", "s000189_04.jpg", "s000189_05.jpg", "s000189_06.jpg", "s000189_07.jpg", "s000189_08.jpg", "s000189_09.jpg", "s000189_10.jpg", "s000189_11.jpg", "s000189_12.jpg", "s000189_13.jpg", "s000189_14.jpg", "s000189_15.jpg", "s000189_16.jpg", "s000189_17.jpg", "s000189_18.jpg", "s000189_19.jpg", "s000189_20.jpg", "s000189_21.jpg", "s000189_22.jpg", "s000189_23.jpg" ]
Red KIA Sou drives very fast past the beach with the girls
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000189.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 \"Red KIA Sou drives very fast past the beach with the girls\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
7000419
[ "7000419_00.jpg", "7000419_01.jpg", "7000419_02.jpg", "7000419_03.jpg", "7000419_04.jpg", "7000419_05.jpg", "7000419_06.jpg", "7000419_07.jpg" ]
video with snow falling and snow visible
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000419.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 \"video with snow falling and snow visible\",\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" } ]
4002227
[ "4002227_00.jpg", "4002227_01.jpg", "4002227_02.jpg", "4002227_03.jpg", "4002227_04.jpg", "4002227_05.jpg", "4002227_06.jpg", "4002227_07.jpg", "4002227_08.jpg", "4002227_09.jpg", "4002227_10.jpg", "4002227_11.jpg", "4002227_12.jpg", "4002227_13.jpg", "4002227_14.jpg", "4002227_15.jpg" ]
Butterfly flying with blond elf, 3D animation
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002227.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 \"Butterfly flying with blond elf, 3D animation\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
4002681
[ "4002681_00.jpg", "4002681_01.jpg", "4002681_02.jpg", "4002681_03.jpg", "4002681_04.jpg", "4002681_05.jpg", "4002681_06.jpg", "4002681_07.jpg", "4002681_08.jpg", "4002681_09.jpg", "4002681_10.jpg", "4002681_11.jpg", "4002681_12.jpg", "4002681_13.jpg", "4002681_14.jpg", "4002681_15.jpg" ]
Chasm suddenly appears in hoodoo desert, druids fall in Beksinski Alfred Stieglitz grainy black and white 1900s
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002681.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 \"Chasm suddenly appears in hoodoo desert, druids fall in Beksinski Alfred Stieglitz grainy black and white 1900s\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
8002099
[ "8002099_00.jpg", "8002099_01.jpg", "8002099_02.jpg", "8002099_03.jpg", "8002099_04.jpg", "8002099_05.jpg", "8002099_06.jpg", "8002099_07.jpg", "8002099_08.jpg", "8002099_09.jpg", "8002099_10.jpg", "8002099_11.jpg", "8002099_12.jpg", "8002099_13.jpg", "8002099_14.jpg", "8002099_15.jpg", "8002099_16.jpg", "8002099_17.jpg", "8002099_18.jpg", "8002099_19.jpg", "8002099_20.jpg", "8002099_21.jpg", "8002099_22.jpg", "8002099_23.jpg" ]
a beautiful bride giving the roses to you.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002099.mp4
1
1
2
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a beautiful bride giving the roses to you.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3002208
[ "3002208_00.jpg", "3002208_01.jpg", "3002208_02.jpg", "3002208_03.jpg", "3002208_04.jpg", "3002208_05.jpg", "3002208_06.jpg", "3002208_07.jpg", "3002208_08.jpg", "3002208_09.jpg", "3002208_10.jpg", "3002208_11.jpg", "3002208_12.jpg", "3002208_13.jpg", "3002208_14.jpg", "3002208_15.jpg" ]
I just saw a video clip in which a man is going on a long drive sitting in his big chair. On the way, there are big road signs and there are trees all around the road.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002208.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 \"I just saw a video clip in which a man is going on a long drive sitting in his big chair. On the way, there are big road signs and there are trees all around the road.\",\nall the frames of video are as 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" } ]
2001127
[ "2001127_00.jpg", "2001127_01.jpg", "2001127_02.jpg", "2001127_03.jpg", "2001127_04.jpg", "2001127_05.jpg", "2001127_06.jpg", "2001127_07.jpg", "2001127_08.jpg", "2001127_09.jpg", "2001127_10.jpg", "2001127_11.jpg", "2001127_12.jpg", "2001127_13.jpg", "2001127_14.jpg", "2001127_15.jpg" ]
kitten and squirrel having a party, party balloons, party hats, party horns, purple yellow and white theme
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001127.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 \"kitten and squirrel having a party, party balloons, party hats, party horns, purple yellow and white theme\",\nall the frames of video are as 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" } ]
4000444
[ "4000444_00.jpg", "4000444_01.jpg", "4000444_02.jpg", "4000444_03.jpg", "4000444_04.jpg", "4000444_05.jpg", "4000444_06.jpg", "4000444_07.jpg", "4000444_08.jpg", "4000444_09.jpg", "4000444_10.jpg", "4000444_11.jpg", "4000444_12.jpg", "4000444_13.jpg", "4000444_14.jpg", "4000444_15.jpg" ]
photography, classroom peter lindbergh style 16:9 candid shot
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000444.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 \"photography, classroom peter lindbergh style 16:9 candid shot\",\nall the frames of video are as 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" } ]
6001295
[ "6001295_00.jpg", "6001295_01.jpg", "6001295_02.jpg", "6001295_03.jpg", "6001295_04.jpg", "6001295_05.jpg", "6001295_06.jpg", "6001295_07.jpg", "6001295_08.jpg", "6001295_09.jpg", "6001295_10.jpg", "6001295_11.jpg", "6001295_12.jpg", "6001295_13.jpg", "6001295_14.jpg", "6001295_15.jpg" ]
A person overthinking about life and their family
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001295.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A person overthinking about life and their family\",\nall the frames of video are as 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" } ]
0002579
[ "0002579_00.jpg", "0002579_01.jpg", "0002579_02.jpg", "0002579_03.jpg", "0002579_04.jpg", "0002579_05.jpg", "0002579_06.jpg", "0002579_07.jpg", "0002579_08.jpg", "0002579_09.jpg", "0002579_10.jpg", "0002579_11.jpg", "0002579_12.jpg", "0002579_13.jpg", "0002579_14.jpg", "0002579_15.jpg", "0002579_16.jpg", "0002579_17.jpg", "0002579_18.jpg", "0002579_19.jpg", "0002579_20.jpg", "0002579_21.jpg", "0002579_22.jpg", "0002579_23.jpg" ]
1970s super 8 golden toned shot of a lush overgrown rose garden overlooking a beautiful chateau
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002579.mp4
2
3
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"1970s super 8 golden toned shot of a lush overgrown rose garden overlooking a beautiful chateau\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
8001292
[ "8001292_00.jpg", "8001292_01.jpg", "8001292_02.jpg", "8001292_03.jpg", "8001292_04.jpg", "8001292_05.jpg", "8001292_06.jpg", "8001292_07.jpg", "8001292_08.jpg", "8001292_09.jpg", "8001292_10.jpg", "8001292_11.jpg", "8001292_12.jpg", "8001292_13.jpg", "8001292_14.jpg", "8001292_15.jpg", "8001292_16.jpg", "8001292_17.jpg", "8001292_18.jpg", "8001292_19.jpg", "8001292_20.jpg", "8001292_21.jpg", "8001292_22.jpg", "8001292_23.jpg" ]
waterfall of liquid chrome, faster animation
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001292.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 \"waterfall of liquid chrome, faster animation\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
5001083
[ "5001083_00.jpg", "5001083_01.jpg", "5001083_02.jpg", "5001083_03.jpg", "5001083_04.jpg", "5001083_05.jpg", "5001083_06.jpg", "5001083_07.jpg", "5001083_08.jpg", "5001083_09.jpg", "5001083_10.jpg", "5001083_11.jpg", "5001083_12.jpg", "5001083_13.jpg", "5001083_14.jpg", "5001083_15.jpg" ]
kid lord hanuman playing in forest, pixar style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001083.mp4
2
3
2
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"kid lord hanuman playing in forest, 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: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
5000577
[ "5000577_00.jpg", "5000577_01.jpg", "5000577_02.jpg", "5000577_03.jpg", "5000577_04.jpg", "5000577_05.jpg", "5000577_06.jpg", "5000577_07.jpg", "5000577_08.jpg", "5000577_09.jpg", "5000577_10.jpg", "5000577_11.jpg", "5000577_12.jpg", "5000577_13.jpg", "5000577_14.jpg", "5000577_15.jpg" ]
real footage of a far misterious galaxy, cinema
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000577.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 \"real footage of a far misterious galaxy, cinema\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1004150
[ "1004150_00.jpg", "1004150_01.jpg", "1004150_02.jpg", "1004150_03.jpg", "1004150_04.jpg", "1004150_05.jpg", "1004150_06.jpg", "1004150_07.jpg", "1004150_08.jpg", "1004150_09.jpg", "1004150_10.jpg", "1004150_11.jpg", "1004150_12.jpg", "1004150_13.jpg", "1004150_14.jpg", "1004150_15.jpg" ]
A scene of a scenery sun rises, day goes on, sun sets
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004150.mp4
3
2
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A scene of a scenery sun rises, day goes on, sun sets\",\nall the frames of video are as 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" } ]
6003228
[ "6003228_00.jpg", "6003228_01.jpg", "6003228_02.jpg", "6003228_03.jpg", "6003228_04.jpg", "6003228_05.jpg", "6003228_06.jpg", "6003228_07.jpg", "6003228_08.jpg", "6003228_09.jpg", "6003228_10.jpg", "6003228_11.jpg", "6003228_12.jpg", "6003228_13.jpg", "6003228_14.jpg", "6003228_15.jpg" ]
A person is sailing
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003228.mp4
1
1
1
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A person is sailing\",\nall the frames of video are as 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: 1\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1005665
[ "1005665_00.jpg", "1005665_01.jpg", "1005665_02.jpg", "1005665_03.jpg", "1005665_04.jpg", "1005665_05.jpg", "1005665_06.jpg", "1005665_07.jpg", "1005665_08.jpg", "1005665_09.jpg", "1005665_10.jpg", "1005665_11.jpg", "1005665_12.jpg", "1005665_13.jpg", "1005665_14.jpg", "1005665_15.jpg" ]
generate a video of the word of spice is made of red chili peppers and green background with the word in the middle
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005665.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 \"generate a video of the word of spice is made of red chili peppers and green background with the word in the middle\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
8002195
[ "8002195_00.jpg", "8002195_01.jpg", "8002195_02.jpg", "8002195_03.jpg", "8002195_04.jpg", "8002195_05.jpg", "8002195_06.jpg", "8002195_07.jpg", "8002195_08.jpg", "8002195_09.jpg", "8002195_10.jpg", "8002195_11.jpg", "8002195_12.jpg", "8002195_13.jpg", "8002195_14.jpg", "8002195_15.jpg", "8002195_16.jpg", "8002195_17.jpg", "8002195_18.jpg", "8002195_19.jpg", "8002195_20.jpg", "8002195_21.jpg", "8002195_22.jpg", "8002195_23.jpg" ]
18th century couple posing for a photo infront of a lake. Kodachrome. Leica. Hyperrealism. High detail
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002195.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 \"18th century couple posing for a photo infront of a lake. Kodachrome. Leica. Hyperrealism. High detail\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
0001831
[ "0001831_00.jpg", "0001831_01.jpg", "0001831_02.jpg", "0001831_03.jpg", "0001831_04.jpg", "0001831_05.jpg", "0001831_06.jpg", "0001831_07.jpg", "0001831_08.jpg", "0001831_09.jpg", "0001831_10.jpg", "0001831_11.jpg", "0001831_12.jpg", "0001831_13.jpg", "0001831_14.jpg", "0001831_15.jpg", "0001831_16.jpg", "0001831_17.jpg", "0001831_18.jpg", "0001831_19.jpg", "0001831_20.jpg", "0001831_21.jpg", "0001831_22.jpg", "0001831_23.jpg" ]
fried chicken being thrown in the air with a neutral background
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001831.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 \"fried chicken being thrown in the air with a neutral background\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3001539
[ "3001539_00.jpg", "3001539_01.jpg", "3001539_02.jpg", "3001539_03.jpg", "3001539_04.jpg", "3001539_05.jpg", "3001539_06.jpg", "3001539_07.jpg", "3001539_08.jpg", "3001539_09.jpg", "3001539_10.jpg", "3001539_11.jpg", "3001539_12.jpg", "3001539_13.jpg", "3001539_14.jpg", "3001539_15.jpg" ]
university view students teacher in ground
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001539.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 \"university view students teacher in 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: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3000232
[ "3000232_00.jpg", "3000232_01.jpg", "3000232_02.jpg", "3000232_03.jpg", "3000232_04.jpg", "3000232_05.jpg", "3000232_06.jpg", "3000232_07.jpg", "3000232_08.jpg", "3000232_09.jpg", "3000232_10.jpg", "3000232_11.jpg", "3000232_12.jpg", "3000232_13.jpg", "3000232_14.jpg", "3000232_15.jpg" ]
black thick coat grey pants green shoes the weather cold
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000232.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 \"black thick coat grey pants green shoes the weather cold\",\nall the frames of video are as 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" } ]
7001645
[ "7001645_00.jpg", "7001645_01.jpg", "7001645_02.jpg", "7001645_03.jpg", "7001645_04.jpg", "7001645_05.jpg", "7001645_06.jpg", "7001645_07.jpg" ]
photography, fujufilm, a woman with flowers instead of hands
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001645.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 \"photography, fujufilm, a woman with flowers instead of hands\",\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" } ]
4004832
[ "4004832_00.jpg", "4004832_01.jpg", "4004832_02.jpg", "4004832_03.jpg", "4004832_04.jpg", "4004832_05.jpg", "4004832_06.jpg", "4004832_07.jpg", "4004832_08.jpg", "4004832_09.jpg", "4004832_10.jpg", "4004832_11.jpg", "4004832_12.jpg", "4004832_13.jpg", "4004832_14.jpg", "4004832_15.jpg" ]
a house getting decayed extremely fast, growing weed like jungle, zoom in.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004832.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 house getting decayed extremely fast, growing weed like jungle, 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: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
0000818
[ "0000818_00.jpg", "0000818_01.jpg", "0000818_02.jpg", "0000818_03.jpg", "0000818_04.jpg", "0000818_05.jpg", "0000818_06.jpg", "0000818_07.jpg", "0000818_08.jpg", "0000818_09.jpg", "0000818_10.jpg", "0000818_11.jpg", "0000818_12.jpg", "0000818_13.jpg", "0000818_14.jpg", "0000818_15.jpg", "0000818_16.jpg", "0000818_17.jpg", "0000818_18.jpg", "0000818_19.jpg", "0000818_20.jpg", "0000818_21.jpg", "0000818_22.jpg", "0000818_23.jpg" ]
candy house like casette player is playing
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000818.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 \"candy house like casette player is playing\",\nall the 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" } ]
8000133
[ "8000133_00.jpg", "8000133_01.jpg", "8000133_02.jpg", "8000133_03.jpg", "8000133_04.jpg", "8000133_05.jpg", "8000133_06.jpg", "8000133_07.jpg", "8000133_08.jpg", "8000133_09.jpg", "8000133_10.jpg", "8000133_11.jpg", "8000133_12.jpg", "8000133_13.jpg", "8000133_14.jpg", "8000133_15.jpg", "8000133_16.jpg", "8000133_17.jpg", "8000133_18.jpg", "8000133_19.jpg", "8000133_20.jpg", "8000133_21.jpg", "8000133_22.jpg", "8000133_23.jpg" ]
An image showing one girl standing in a room, holding the torn feathered pillow with rotten feathers falling to the ground.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000133.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"An image showing one girl standing in a room, holding the torn feathered pillow with rotten feathers falling to the ground.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
0004248
[ "0004248_00.jpg", "0004248_01.jpg", "0004248_02.jpg", "0004248_03.jpg", "0004248_04.jpg", "0004248_05.jpg", "0004248_06.jpg", "0004248_07.jpg", "0004248_08.jpg", "0004248_09.jpg", "0004248_10.jpg", "0004248_11.jpg", "0004248_12.jpg", "0004248_13.jpg", "0004248_14.jpg", "0004248_15.jpg", "0004248_16.jpg", "0004248_17.jpg", "0004248_18.jpg", "0004248_19.jpg", "0004248_20.jpg", "0004248_21.jpg", "0004248_22.jpg", "0004248_23.jpg" ]
A boy with glasses is driving a van full of fruits on a busy city street with a 2.5D effect. The sun and clouds are in the sky.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004248.mp4
1
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A boy with glasses is driving a van full of fruits on a busy city street with a 2.5D effect. The sun and clouds are in the sky.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
0000021
[ "0000021_00.jpg", "0000021_01.jpg", "0000021_02.jpg", "0000021_03.jpg", "0000021_04.jpg", "0000021_05.jpg", "0000021_06.jpg", "0000021_07.jpg", "0000021_08.jpg", "0000021_09.jpg", "0000021_10.jpg", "0000021_11.jpg", "0000021_12.jpg", "0000021_13.jpg", "0000021_14.jpg", "0000021_15.jpg", "0000021_16.jpg", "0000021_17.jpg", "0000021_18.jpg", "0000021_19.jpg", "0000021_20.jpg", "0000021_21.jpg", "0000021_22.jpg", "0000021_23.jpg" ]
The camera follows behind a white vintage SUV with a black roof rack as it speeds up a steep dirt road surrounded by pine trees on a steep mountain slope, dust kicks up from it’s tires, the sunlight shines on the SUV as it speeds along the dirt road, casting a warm glow over the scene. The dirt road curves gently into the distance, with no other cars or vehicles in sight. The trees on either side of the road are redwoods, with patches of greenery scattered throughout. The car is seen from the rear following the curve with ease, making it seem as if it is on a rugged drive through the rugged terrain. The dirt road itself is surrounded by steep hills and mountains, with a clear blue sky above with wispy clouds.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000021.mp4
3
3
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0
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[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The camera follows behind a white vintage SUV with a black roof rack as it speeds up a steep dirt road surrounded by pine trees on a steep mountain slope, dust kicks up from it’s tires, the sunlight shines on the SUV as it speeds along the dirt road, casting a warm glow over the scene. The dirt road curves gently into the distance, with no other cars or vehicles in sight. The trees on either side of the road are redwoods, with patches of greenery scattered throughout. The car is seen from the rear following the curve with ease, making it seem as if it is on a rugged drive through the rugged terrain. The dirt road itself is surrounded by steep hills and mountains, with a clear blue sky above with wispy clouds.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
1000721
[ "1000721_00.jpg", "1000721_01.jpg", "1000721_02.jpg", "1000721_03.jpg", "1000721_04.jpg", "1000721_05.jpg", "1000721_06.jpg", "1000721_07.jpg", "1000721_08.jpg", "1000721_09.jpg", "1000721_10.jpg", "1000721_11.jpg", "1000721_12.jpg", "1000721_13.jpg", "1000721_14.jpg", "1000721_15.jpg" ]
I want to design a picture about the coming of Ramadan
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000721.mp4
1
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0
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[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"I want to design a picture about the coming of Ramadan\",\nall the frames of video are as 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" } ]
4000457
[ "4000457_00.jpg", "4000457_01.jpg", "4000457_02.jpg", "4000457_03.jpg", "4000457_04.jpg", "4000457_05.jpg", "4000457_06.jpg", "4000457_07.jpg", "4000457_08.jpg", "4000457_09.jpg", "4000457_10.jpg", "4000457_11.jpg", "4000457_12.jpg", "4000457_13.jpg", "4000457_14.jpg", "4000457_15.jpg" ]
Brown Bread vs. White Bread: The Nutritional Showdown
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000457.mp4
3
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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 \"Brown Bread vs. White Bread: The Nutritional Showdown\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
2000243
[ "2000243_00.jpg", "2000243_01.jpg", "2000243_02.jpg", "2000243_03.jpg", "2000243_04.jpg", "2000243_05.jpg", "2000243_06.jpg", "2000243_07.jpg", "2000243_08.jpg", "2000243_09.jpg", "2000243_10.jpg", "2000243_11.jpg", "2000243_12.jpg", "2000243_13.jpg", "2000243_14.jpg", "2000243_15.jpg" ]
A Man in Ancient Majestic Armor, Riding On Horseback, Galloping Fast Forward, In The Battleground
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000243.mp4
2
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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 Man in Ancient Majestic Armor, Riding On Horseback, Galloping Fast Forward, In The Battleground\",\nall the frames of video are as 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" } ]
8001451
[ "8001451_00.jpg", "8001451_01.jpg", "8001451_02.jpg", "8001451_03.jpg", "8001451_04.jpg", "8001451_05.jpg", "8001451_06.jpg", "8001451_07.jpg", "8001451_08.jpg", "8001451_09.jpg", "8001451_10.jpg", "8001451_11.jpg", "8001451_12.jpg", "8001451_13.jpg", "8001451_14.jpg", "8001451_15.jpg", "8001451_16.jpg", "8001451_17.jpg", "8001451_18.jpg", "8001451_19.jpg", "8001451_20.jpg", "8001451_21.jpg", "8001451_22.jpg", "8001451_23.jpg" ]
4K cinematic scene of Banshi flying on swamp lands
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001451.mp4
1
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0
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[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"4K cinematic scene of Banshi flying on swamp lands\",\nall the 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" } ]