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947
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89
89
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int64
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4
temporal consistency
int64
1
4
dynamic degree
int64
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int64
0
4
factual consistency
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2000286
[ "2000286_00.jpg", "2000286_01.jpg", "2000286_02.jpg", "2000286_03.jpg", "2000286_04.jpg", "2000286_05.jpg", "2000286_06.jpg", "2000286_07.jpg", "2000286_08.jpg", "2000286_09.jpg", "2000286_10.jpg", "2000286_11.jpg", "2000286_12.jpg", "2000286_13.jpg", "2000286_14.jpg", "2000286_15.jpg" ]
The towering rock cliffs are naturally rich in stone layers and offer spectacular beaches. The beautiful pattern of giant waves showcases the immense power and beauty of nature, paying close attention to the smallest details to achieve a certain degree of realism, from a drone perspective.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000286.mp4
2
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The towering rock cliffs are naturally rich in stone layers and offer spectacular beaches. The beautiful pattern of giant waves showcases the immense power and beauty of nature, paying close attention to the smallest details to achieve a certain degree of realism, from a drone perspective.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
s000181
[ "s000181_00.jpg", "s000181_01.jpg", "s000181_02.jpg", "s000181_03.jpg", "s000181_04.jpg", "s000181_05.jpg", "s000181_06.jpg", "s000181_07.jpg", "s000181_08.jpg", "s000181_09.jpg", "s000181_10.jpg", "s000181_11.jpg", "s000181_12.jpg", "s000181_13.jpg", "s000181_14.jpg", "s000181_15.jpg", "s000181_16.jpg", "s000181_17.jpg", "s000181_18.jpg", "s000181_19.jpg", "s000181_20.jpg", "s000181_21.jpg", "s000181_22.jpg", "s000181_23.jpg" ]
being chased by Drake in the woods at night 4K ultra high definition movie quality realistic scene a little blurry
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000181.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 \"being chased by Drake in the woods at night 4K ultra high definition movie quality realistic scene a little blurry\",\nall the 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" } ]
8000049
[ "8000049_00.jpg", "8000049_01.jpg", "8000049_02.jpg", "8000049_03.jpg", "8000049_04.jpg", "8000049_05.jpg", "8000049_06.jpg", "8000049_07.jpg", "8000049_08.jpg", "8000049_09.jpg", "8000049_10.jpg", "8000049_11.jpg", "8000049_12.jpg", "8000049_13.jpg", "8000049_14.jpg", "8000049_15.jpg", "8000049_16.jpg", "8000049_17.jpg", "8000049_18.jpg", "8000049_19.jpg", "8000049_20.jpg", "8000049_21.jpg", "8000049_22.jpg", "8000049_23.jpg" ]
closeup of businessman sketch in pencil looking at camera
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000049.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 \"closeup of businessman sketch in pencil looking at 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> <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" } ]
0004611
[ "0004611_00.jpg", "0004611_01.jpg", "0004611_02.jpg", "0004611_03.jpg", "0004611_04.jpg", "0004611_05.jpg", "0004611_06.jpg", "0004611_07.jpg", "0004611_08.jpg", "0004611_09.jpg", "0004611_10.jpg", "0004611_11.jpg", "0004611_12.jpg", "0004611_13.jpg", "0004611_14.jpg", "0004611_15.jpg", "0004611_16.jpg", "0004611_17.jpg", "0004611_18.jpg", "0004611_19.jpg", "0004611_20.jpg", "0004611_21.jpg", "0004611_22.jpg", "0004611_23.jpg" ]
anime cat girl with black hair and tattoos waving hello
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004611.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 \"anime cat girl with black hair and tattoos waving hello\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
0002601
[ "0002601_00.jpg", "0002601_01.jpg", "0002601_02.jpg", "0002601_03.jpg", "0002601_04.jpg", "0002601_05.jpg", "0002601_06.jpg", "0002601_07.jpg", "0002601_08.jpg", "0002601_09.jpg", "0002601_10.jpg", "0002601_11.jpg", "0002601_12.jpg", "0002601_13.jpg", "0002601_14.jpg", "0002601_15.jpg", "0002601_16.jpg", "0002601_17.jpg", "0002601_18.jpg", "0002601_19.jpg", "0002601_20.jpg", "0002601_21.jpg", "0002601_22.jpg", "0002601_23.jpg" ]
Epic cinematic intro to mythical hyperborean civilisation
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002601.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 \"Epic cinematic intro to mythical hyperborean civilisation\",\nall the 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" } ]
6000262
[ "6000262_00.jpg", "6000262_01.jpg", "6000262_02.jpg", "6000262_03.jpg", "6000262_04.jpg", "6000262_05.jpg", "6000262_06.jpg", "6000262_07.jpg", "6000262_08.jpg", "6000262_09.jpg", "6000262_10.jpg", "6000262_11.jpg", "6000262_12.jpg", "6000262_13.jpg", "6000262_14.jpg", "6000262_15.jpg" ]
Mahatma Gandhi: Mahatma Gandhi emerged as a prominent leader against the act. He advocated for nonviolent resistance and civil disobedience, organizing strikes and protests as a form of opposition.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000262.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 \"Mahatma Gandhi: Mahatma Gandhi emerged as a prominent leader against the act. He advocated for nonviolent resistance and civil disobedience, organizing strikes and protests as a form of opposition.\",\nall the frames of video are as 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" } ]
4004413
[ "4004413_00.jpg", "4004413_01.jpg", "4004413_02.jpg", "4004413_03.jpg", "4004413_04.jpg", "4004413_05.jpg", "4004413_06.jpg", "4004413_07.jpg", "4004413_08.jpg", "4004413_09.jpg", "4004413_10.jpg", "4004413_11.jpg", "4004413_12.jpg", "4004413_13.jpg", "4004413_14.jpg", "4004413_15.jpg" ]
inside a data center, servers are full of every panels, cables are connected each other
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004413.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 \"inside a data center, servers are full of every panels, cables are connected each other\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
2001784
[ "2001784_00.jpg", "2001784_01.jpg", "2001784_02.jpg", "2001784_03.jpg", "2001784_04.jpg", "2001784_05.jpg", "2001784_06.jpg", "2001784_07.jpg", "2001784_08.jpg", "2001784_09.jpg", "2001784_10.jpg", "2001784_11.jpg", "2001784_12.jpg", "2001784_13.jpg", "2001784_14.jpg", "2001784_15.jpg" ]
A white and orange tabby cat is seen happily darting through a dense garden, as if chasing something. Its eyes are wide and happy as it jogs forward, scanning the branches, flowers, and leaves as it walks. The path is narrow as it makes its way between all the plants. the scene is captured from a ground-level angle, following the cat closely, giving a low and intimate perspective. The image is cinematic with warm tones and a grainy texture. The scattered daylight between the leaves and plants above creates a warm contrast, accentuating the cat’s orange fur. The shot is clear and sharp, with a shallow depth of field.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001784.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 white and orange tabby cat is seen happily darting through a dense garden, as if chasing something. Its eyes are wide and happy as it jogs forward, scanning the branches, flowers, and leaves as it walks. The path is narrow as it makes its way between all the plants. the scene is captured from a ground-level angle, following the cat closely, giving a low and intimate perspective. The image is cinematic with warm tones and a grainy texture. The scattered daylight between the leaves and plants above creates a warm contrast, accentuating the cat’s orange fur. The shot is clear and sharp, with a shallow depth of 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: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3004379
[ "3004379_00.jpg", "3004379_01.jpg", "3004379_02.jpg", "3004379_03.jpg", "3004379_04.jpg", "3004379_05.jpg", "3004379_06.jpg", "3004379_07.jpg", "3004379_08.jpg", "3004379_09.jpg", "3004379_10.jpg", "3004379_11.jpg", "3004379_12.jpg", "3004379_13.jpg", "3004379_14.jpg", "3004379_15.jpg" ]
one handsome man singing a romantic song in a wedding
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004379.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 \"one handsome man singing a romantic song in a wedding\",\nall the frames of video are as 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" } ]
1001069
[ "1001069_00.jpg", "1001069_01.jpg", "1001069_02.jpg", "1001069_03.jpg", "1001069_04.jpg", "1001069_05.jpg", "1001069_06.jpg", "1001069_07.jpg", "1001069_08.jpg", "1001069_09.jpg", "1001069_10.jpg", "1001069_11.jpg", "1001069_12.jpg", "1001069_13.jpg", "1001069_14.jpg", "1001069_15.jpg" ]
uhd hyper realistic cyborg arm holding energy source over soft purple abstrackt futuristic low poly 3d design moving slowly
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001069.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 \"uhd hyper realistic cyborg arm holding energy source over soft purple abstrackt futuristic low poly 3d design moving slowly\",\nall the frames of video are as 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" } ]
6004849
[ "6004849_00.jpg", "6004849_01.jpg", "6004849_02.jpg", "6004849_03.jpg", "6004849_04.jpg", "6004849_05.jpg", "6004849_06.jpg", "6004849_07.jpg", "6004849_08.jpg", "6004849_09.jpg", "6004849_10.jpg", "6004849_11.jpg", "6004849_12.jpg", "6004849_13.jpg", "6004849_14.jpg", "6004849_15.jpg" ]
deadpool inspired puffer coat 4k advertisement
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004849.mp4
2
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"deadpool inspired puffer coat 4k advertisement\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
8000451
[ "8000451_00.jpg", "8000451_01.jpg", "8000451_02.jpg", "8000451_03.jpg", "8000451_04.jpg", "8000451_05.jpg", "8000451_06.jpg", "8000451_07.jpg", "8000451_08.jpg", "8000451_09.jpg", "8000451_10.jpg", "8000451_11.jpg", "8000451_12.jpg", "8000451_13.jpg", "8000451_14.jpg", "8000451_15.jpg", "8000451_16.jpg", "8000451_17.jpg", "8000451_18.jpg", "8000451_19.jpg", "8000451_20.jpg", "8000451_21.jpg", "8000451_22.jpg", "8000451_23.jpg" ]
big cargo ship passing on the shore
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000451.mp4
1
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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 \"big cargo ship passing on the shore\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1001006
[ "1001006_00.jpg", "1001006_01.jpg", "1001006_02.jpg", "1001006_03.jpg", "1001006_04.jpg", "1001006_05.jpg", "1001006_06.jpg", "1001006_07.jpg", "1001006_08.jpg", "1001006_09.jpg", "1001006_10.jpg", "1001006_11.jpg", "1001006_12.jpg", "1001006_13.jpg", "1001006_14.jpg", "1001006_15.jpg" ]
moving, animation, cinematic high wind speed
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001006.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 \"moving, animation, cinematic high wind speed\",\nall the frames of video are as 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" } ]
0002214
[ "0002214_00.jpg", "0002214_01.jpg", "0002214_02.jpg", "0002214_03.jpg", "0002214_04.jpg", "0002214_05.jpg", "0002214_06.jpg", "0002214_07.jpg", "0002214_08.jpg", "0002214_09.jpg", "0002214_10.jpg", "0002214_11.jpg", "0002214_12.jpg", "0002214_13.jpg", "0002214_14.jpg", "0002214_15.jpg", "0002214_16.jpg", "0002214_17.jpg", "0002214_18.jpg", "0002214_19.jpg", "0002214_20.jpg", "0002214_21.jpg", "0002214_22.jpg", "0002214_23.jpg" ]
a islamic background with Quran opening pages hd quality cinematic zoom camera 16:9 realistic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002214.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 \"a islamic background with Quran opening pages hd quality cinematic zoom camera 16:9 realistic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
9000566
[ "9000566_00.jpg", "9000566_01.jpg", "9000566_02.jpg", "9000566_03.jpg", "9000566_04.jpg", "9000566_05.jpg", "9000566_06.jpg", "9000566_07.jpg", "9000566_08.jpg", "9000566_09.jpg", "9000566_10.jpg", "9000566_11.jpg", "9000566_12.jpg", "9000566_13.jpg", "9000566_14.jpg", "9000566_15.jpg", "9000566_16.jpg", "9000566_17.jpg", "9000566_18.jpg", "9000566_19.jpg", "9000566_20.jpg", "9000566_21.jpg", "9000566_22.jpg", "9000566_23.jpg" ]
The devil, with a voice that echoes like thunder, offers Finn three wishes in exchange for his freedom,cinematic, 4K, 3D cartoon style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000566.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 \"The devil, with a voice that echoes like thunder, offers Finn three wishes in exchange for his freedom,cinematic, 4K, 3D cartoon style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
4000861
[ "4000861_00.jpg", "4000861_01.jpg", "4000861_02.jpg", "4000861_03.jpg", "4000861_04.jpg", "4000861_05.jpg", "4000861_06.jpg", "4000861_07.jpg", "4000861_08.jpg", "4000861_09.jpg", "4000861_10.jpg", "4000861_11.jpg", "4000861_12.jpg", "4000861_13.jpg", "4000861_14.jpg", "4000861_15.jpg" ]
shadoe of bird flying crossing white background
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000861.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 \"shadoe of bird flying crossing white background\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2003854
[ "2003854_00.jpg", "2003854_01.jpg", "2003854_02.jpg", "2003854_03.jpg", "2003854_04.jpg", "2003854_05.jpg", "2003854_06.jpg", "2003854_07.jpg", "2003854_08.jpg", "2003854_09.jpg", "2003854_10.jpg", "2003854_11.jpg", "2003854_12.jpg", "2003854_13.jpg", "2003854_14.jpg", "2003854_15.jpg" ]
Serena the shark explained that she was misunderstood by many and longed for friends. Whaley the whale and Danny the dolphin, filled with compassion, decided to befriend her. They learned that even the fiercest creatures could have a kind heart.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003854.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 \"Serena the shark explained that she was misunderstood by many and longed for friends. Whaley the whale and Danny the dolphin, filled with compassion, decided to befriend her. They learned that even the fiercest creatures could have a kind heart.\",\nall the frames of video are as 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" } ]
2004730
[ "2004730_00.jpg", "2004730_01.jpg", "2004730_02.jpg", "2004730_03.jpg", "2004730_04.jpg", "2004730_05.jpg", "2004730_06.jpg", "2004730_07.jpg", "2004730_08.jpg", "2004730_09.jpg", "2004730_10.jpg", "2004730_11.jpg", "2004730_12.jpg", "2004730_13.jpg", "2004730_14.jpg", "2004730_15.jpg" ]
animate characters and movement of justice weighing scale up and down
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004730.mp4
2
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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 \"animate characters and movement of justice weighing scale up and down\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
5000325
[ "5000325_00.jpg", "5000325_01.jpg", "5000325_02.jpg", "5000325_03.jpg", "5000325_04.jpg", "5000325_05.jpg", "5000325_06.jpg", "5000325_07.jpg", "5000325_08.jpg", "5000325_09.jpg", "5000325_10.jpg", "5000325_11.jpg", "5000325_12.jpg", "5000325_13.jpg", "5000325_14.jpg", "5000325_15.jpg" ]
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000325.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 \"\",\nall the frames of video are as 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" } ]
6003645
[ "6003645_00.jpg", "6003645_01.jpg", "6003645_02.jpg", "6003645_03.jpg", "6003645_04.jpg", "6003645_05.jpg", "6003645_06.jpg", "6003645_07.jpg", "6003645_08.jpg", "6003645_09.jpg", "6003645_10.jpg", "6003645_11.jpg", "6003645_12.jpg", "6003645_13.jpg", "6003645_14.jpg", "6003645_15.jpg" ]
a coconut thrown directly at the screen
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003645.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 coconut thrown directly at the screen\",\nall the frames of video are as 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" } ]
2003070
[ "2003070_00.jpg", "2003070_01.jpg", "2003070_02.jpg", "2003070_03.jpg", "2003070_04.jpg", "2003070_05.jpg", "2003070_06.jpg", "2003070_07.jpg", "2003070_08.jpg", "2003070_09.jpg", "2003070_10.jpg", "2003070_11.jpg", "2003070_12.jpg", "2003070_13.jpg", "2003070_14.jpg", "2003070_15.jpg" ]
tamplet macaroni pasta with detail, spicy , looks yummy
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003070.mp4
1
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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 \"tamplet macaroni pasta with detail, spicy , looks yummy\",\nall the frames of video are as 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" } ]
5000867
[ "5000867_00.jpg", "5000867_01.jpg", "5000867_02.jpg", "5000867_03.jpg", "5000867_04.jpg", "5000867_05.jpg", "5000867_06.jpg", "5000867_07.jpg", "5000867_08.jpg", "5000867_09.jpg", "5000867_10.jpg", "5000867_11.jpg", "5000867_12.jpg", "5000867_13.jpg", "5000867_14.jpg", "5000867_15.jpg" ]
a horse in the space with stars
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000867.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 \"a horse in the space with 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: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1001645
[ "1001645_00.jpg", "1001645_01.jpg", "1001645_02.jpg", "1001645_03.jpg", "1001645_04.jpg", "1001645_05.jpg", "1001645_06.jpg", "1001645_07.jpg", "1001645_08.jpg", "1001645_09.jpg", "1001645_10.jpg", "1001645_11.jpg", "1001645_12.jpg", "1001645_13.jpg", "1001645_14.jpg", "1001645_15.jpg" ]
As we continue to delve deeper into this unprecedented discovery, we are invited to embrace the inherent mysteries and vast wonders that permeate the uncharted territories of the cosmos,
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001645.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 \"As we continue to delve deeper into this unprecedented discovery, we are invited to embrace the inherent mysteries and vast wonders that permeate the uncharted territories of the cosmos,\",\nall the frames of video are as 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" } ]
3001208
[ "3001208_00.jpg", "3001208_01.jpg", "3001208_02.jpg", "3001208_03.jpg", "3001208_04.jpg", "3001208_05.jpg", "3001208_06.jpg", "3001208_07.jpg", "3001208_08.jpg", "3001208_09.jpg", "3001208_10.jpg", "3001208_11.jpg", "3001208_12.jpg", "3001208_13.jpg", "3001208_14.jpg", "3001208_15.jpg" ]
a scene like Alfred hitschkock,the birds ,
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001208.mp4
2
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 scene like Alfred hitschkock,the birds ,\",\nall the frames of video are as 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" } ]
8002326
[ "8002326_00.jpg", "8002326_01.jpg", "8002326_02.jpg", "8002326_03.jpg", "8002326_04.jpg", "8002326_05.jpg", "8002326_06.jpg", "8002326_07.jpg", "8002326_08.jpg", "8002326_09.jpg", "8002326_10.jpg", "8002326_11.jpg", "8002326_12.jpg", "8002326_13.jpg", "8002326_14.jpg", "8002326_15.jpg", "8002326_16.jpg", "8002326_17.jpg", "8002326_18.jpg", "8002326_19.jpg", "8002326_20.jpg", "8002326_21.jpg", "8002326_22.jpg", "8002326_23.jpg" ]
a man coveres in blue ice, depth of field, realistic, epic angle
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002326.mp4
1
1
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a man coveres in blue ice, depth of field, realistic, epic angle\",\nall the 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: 2\n" } ]
4002135
[ "4002135_00.jpg", "4002135_01.jpg", "4002135_02.jpg", "4002135_03.jpg", "4002135_04.jpg", "4002135_05.jpg", "4002135_06.jpg", "4002135_07.jpg", "4002135_08.jpg", "4002135_09.jpg", "4002135_10.jpg", "4002135_11.jpg", "4002135_12.jpg", "4002135_13.jpg", "4002135_14.jpg", "4002135_15.jpg" ]
a girl gathering berries on a field in a forest animate fog surrounding her
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002135.mp4
2
2
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0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a girl gathering berries on a field in a forest animate fog surrounding her\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
0005779
[ "0005779_00.jpg", "0005779_01.jpg", "0005779_02.jpg", "0005779_03.jpg", "0005779_04.jpg", "0005779_05.jpg", "0005779_06.jpg", "0005779_07.jpg", "0005779_08.jpg", "0005779_09.jpg", "0005779_10.jpg", "0005779_11.jpg", "0005779_12.jpg", "0005779_13.jpg", "0005779_14.jpg", "0005779_15.jpg", "0005779_16.jpg", "0005779_17.jpg", "0005779_18.jpg", "0005779_19.jpg", "0005779_20.jpg", "0005779_21.jpg", "0005779_22.jpg", "0005779_23.jpg" ]
Gandalf talking with Bilbo Baggins, cinematic slow zoom, clouds moves, bright day, green garden
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005779.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 \"Gandalf talking with Bilbo Baggins, cinematic slow zoom, clouds moves, bright day, green garden\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
8000861
[ "8000861_00.jpg", "8000861_01.jpg", "8000861_02.jpg", "8000861_03.jpg", "8000861_04.jpg", "8000861_05.jpg", "8000861_06.jpg", "8000861_07.jpg", "8000861_08.jpg", "8000861_09.jpg", "8000861_10.jpg", "8000861_11.jpg", "8000861_12.jpg", "8000861_13.jpg", "8000861_14.jpg", "8000861_15.jpg", "8000861_16.jpg", "8000861_17.jpg", "8000861_18.jpg", "8000861_19.jpg", "8000861_20.jpg", "8000861_21.jpg", "8000861_22.jpg", "8000861_23.jpg" ]
realistic movie figure of Join the battle in Game of Thrones Winter is Coming
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000861.mp4
1
3
2
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"realistic movie figure of Join the battle in Game of Thrones Winter is Coming\",\nall the 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: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3001515
[ "3001515_00.jpg", "3001515_01.jpg", "3001515_02.jpg", "3001515_03.jpg", "3001515_04.jpg", "3001515_05.jpg", "3001515_06.jpg", "3001515_07.jpg", "3001515_08.jpg", "3001515_09.jpg", "3001515_10.jpg", "3001515_11.jpg", "3001515_12.jpg", "3001515_13.jpg", "3001515_14.jpg", "3001515_15.jpg" ]
Ally McBeal eating a pizza really fast
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001515.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 \"Ally McBeal eating a pizza really fast\",\nall the frames of video are as 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" } ]
3005406
[ "3005406_00.jpg", "3005406_01.jpg", "3005406_02.jpg", "3005406_03.jpg", "3005406_04.jpg", "3005406_05.jpg", "3005406_06.jpg", "3005406_07.jpg", "3005406_08.jpg", "3005406_09.jpg", "3005406_10.jpg", "3005406_11.jpg", "3005406_12.jpg", "3005406_13.jpg", "3005406_14.jpg", "3005406_15.jpg" ]
white cat in a tophat walking through a foggy forest carrying a wheel of cheese
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005406.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 \"white cat in a tophat walking through a foggy forest carrying a wheel of cheese\",\nall the frames of video are as 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" } ]
8000925
[ "8000925_00.jpg", "8000925_01.jpg", "8000925_02.jpg", "8000925_03.jpg", "8000925_04.jpg", "8000925_05.jpg", "8000925_06.jpg", "8000925_07.jpg", "8000925_08.jpg", "8000925_09.jpg", "8000925_10.jpg", "8000925_11.jpg", "8000925_12.jpg", "8000925_13.jpg", "8000925_14.jpg", "8000925_15.jpg", "8000925_16.jpg", "8000925_17.jpg", "8000925_18.jpg", "8000925_19.jpg", "8000925_20.jpg", "8000925_21.jpg", "8000925_22.jpg", "8000925_23.jpg" ]
product advertisement, rose perfume for instagram reel
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000925.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 \"product advertisement, rose perfume for instagram reel\",\nall the 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" } ]
1002885
[ "1002885_00.jpg", "1002885_01.jpg", "1002885_02.jpg", "1002885_03.jpg", "1002885_04.jpg", "1002885_05.jpg", "1002885_06.jpg", "1002885_07.jpg", "1002885_08.jpg", "1002885_09.jpg", "1002885_10.jpg", "1002885_11.jpg", "1002885_12.jpg", "1002885_13.jpg", "1002885_14.jpg", "1002885_15.jpg" ]
create a beautiful young boy wearing cap on his head nicely eating food nicely sitting on a chair with green screen background
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002885.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"create a beautiful young boy wearing cap on his head nicely eating food nicely sitting on a chair with green screen background\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3006245
[ "3006245_00.jpg", "3006245_01.jpg", "3006245_02.jpg", "3006245_03.jpg", "3006245_04.jpg", "3006245_05.jpg", "3006245_06.jpg", "3006245_07.jpg", "3006245_08.jpg", "3006245_09.jpg", "3006245_10.jpg", "3006245_11.jpg", "3006245_12.jpg", "3006245_13.jpg", "3006245_14.jpg", "3006245_15.jpg" ]
Drummer Art Blakey playing in small jazz club called The Lighthouse in the 1960s.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006245.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 \"Drummer Art Blakey playing in small jazz club called The Lighthouse in the 1960s.\",\nall the frames of video are as 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" } ]
4003611
[ "4003611_00.jpg", "4003611_01.jpg", "4003611_02.jpg", "4003611_03.jpg", "4003611_04.jpg", "4003611_05.jpg", "4003611_06.jpg", "4003611_07.jpg", "4003611_08.jpg", "4003611_09.jpg", "4003611_10.jpg", "4003611_11.jpg", "4003611_12.jpg", "4003611_13.jpg", "4003611_14.jpg", "4003611_15.jpg" ]
animated business suits headed for success
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003611.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 \"animated business suits headed for success\",\nall the frames of video are as 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" } ]
5000692
[ "5000692_00.jpg", "5000692_01.jpg", "5000692_02.jpg", "5000692_03.jpg", "5000692_04.jpg", "5000692_05.jpg", "5000692_06.jpg", "5000692_07.jpg", "5000692_08.jpg", "5000692_09.jpg", "5000692_10.jpg", "5000692_11.jpg", "5000692_12.jpg", "5000692_13.jpg", "5000692_14.jpg", "5000692_15.jpg" ]
an american girl blonde blue eyes says hello in an angry tone
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000692.mp4
2
3
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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 \"an american girl blonde blue eyes says hello in an angry tone\",\nall the frames of video are as 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" } ]
3006506
[ "3006506_00.jpg", "3006506_01.jpg", "3006506_02.jpg", "3006506_03.jpg", "3006506_04.jpg", "3006506_05.jpg", "3006506_06.jpg", "3006506_07.jpg", "3006506_08.jpg", "3006506_09.jpg", "3006506_10.jpg", "3006506_11.jpg", "3006506_12.jpg", "3006506_13.jpg", "3006506_14.jpg", "3006506_15.jpg" ]
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006506.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 \"\",\nall the frames of video are as 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" } ]
3004587
[ "3004587_00.jpg", "3004587_01.jpg", "3004587_02.jpg", "3004587_03.jpg", "3004587_04.jpg", "3004587_05.jpg", "3004587_06.jpg", "3004587_07.jpg", "3004587_08.jpg", "3004587_09.jpg", "3004587_10.jpg", "3004587_11.jpg", "3004587_12.jpg", "3004587_13.jpg", "3004587_14.jpg", "3004587_15.jpg" ]
Picture Mark sharing his success story with a group of eager listeners, his face radiant with pride and hope, inspiring others to break free from the grip of smoking.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004587.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 \"Picture Mark sharing his success story with a group of eager listeners, his face radiant with pride and hope, inspiring others to break free from the grip of smoking.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
0003600
[ "0003600_00.jpg", "0003600_01.jpg", "0003600_02.jpg", "0003600_03.jpg", "0003600_04.jpg", "0003600_05.jpg", "0003600_06.jpg", "0003600_07.jpg", "0003600_08.jpg", "0003600_09.jpg", "0003600_10.jpg", "0003600_11.jpg", "0003600_12.jpg", "0003600_13.jpg", "0003600_14.jpg", "0003600_15.jpg", "0003600_16.jpg", "0003600_17.jpg", "0003600_18.jpg", "0003600_19.jpg", "0003600_20.jpg", "0003600_21.jpg", "0003600_22.jpg", "0003600_23.jpg" ]
magicians set around the ground and despalay magic.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003600.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 \"magicians set around the ground and despalay magic.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3001857
[ "3001857_00.jpg", "3001857_01.jpg", "3001857_02.jpg", "3001857_03.jpg", "3001857_04.jpg", "3001857_05.jpg", "3001857_06.jpg", "3001857_07.jpg", "3001857_08.jpg", "3001857_09.jpg", "3001857_10.jpg", "3001857_11.jpg", "3001857_12.jpg", "3001857_13.jpg", "3001857_14.jpg", "3001857_15.jpg" ]
background turns to space, smiling, blinking, 4k
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001857.mp4
2
1
2
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"background turns to space, smiling, blinking, 4k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1001454
[ "1001454_00.jpg", "1001454_01.jpg", "1001454_02.jpg", "1001454_03.jpg", "1001454_04.jpg", "1001454_05.jpg", "1001454_06.jpg", "1001454_07.jpg", "1001454_08.jpg", "1001454_09.jpg", "1001454_10.jpg", "1001454_11.jpg", "1001454_12.jpg", "1001454_13.jpg", "1001454_14.jpg", "1001454_15.jpg" ]
dog happy run for 5 second
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001454.mp4
1
2
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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 \"dog happy run for 5 second\",\nall the frames of video are as 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" } ]
7000638
[ "7000638_00.jpg", "7000638_01.jpg", "7000638_02.jpg", "7000638_03.jpg", "7000638_04.jpg", "7000638_05.jpg", "7000638_06.jpg", "7000638_07.jpg" ]
Ultra realistic image of a university abandoned by time. Pieces of cement fall from its walls. Teachers and students try to repair it. The sky looks cloudy and windy. a dove flies in the sky. cars parked in its surroundings.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000638.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 \"Ultra realistic image of a university abandoned by time. Pieces of cement fall from its walls. Teachers and students try to repair it. The sky looks cloudy and windy. a dove flies in the sky. cars parked in its surroundings.\",\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" } ]
3001078
[ "3001078_00.jpg", "3001078_01.jpg", "3001078_02.jpg", "3001078_03.jpg", "3001078_04.jpg", "3001078_05.jpg", "3001078_06.jpg", "3001078_07.jpg", "3001078_08.jpg", "3001078_09.jpg", "3001078_10.jpg", "3001078_11.jpg", "3001078_12.jpg", "3001078_13.jpg", "3001078_14.jpg", "3001078_15.jpg" ]
Immediately before the start of the match, the players are lined up at center ice, ready to start. Their gazes are directed forward, but in their eyes it is clear that they are already in the battle zone.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001078.mp4
2
2
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0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Immediately before the start of the match, the players are lined up at center ice, ready to start. Their gazes are directed forward, but in their eyes it is clear that they are already in the battle zone.\",\nall the frames of video are as 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" } ]
8000995
[ "8000995_00.jpg", "8000995_01.jpg", "8000995_02.jpg", "8000995_03.jpg", "8000995_04.jpg", "8000995_05.jpg", "8000995_06.jpg", "8000995_07.jpg", "8000995_08.jpg", "8000995_09.jpg", "8000995_10.jpg", "8000995_11.jpg", "8000995_12.jpg", "8000995_13.jpg", "8000995_14.jpg", "8000995_15.jpg", "8000995_16.jpg", "8000995_17.jpg", "8000995_18.jpg", "8000995_19.jpg", "8000995_20.jpg", "8000995_21.jpg", "8000995_22.jpg", "8000995_23.jpg" ]
tiger paragliding over the grand canyon
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000995.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 \"tiger paragliding over the grand canyon\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7003169
[ "7003169_00.jpg", "7003169_01.jpg", "7003169_02.jpg", "7003169_03.jpg", "7003169_04.jpg", "7003169_05.jpg", "7003169_06.jpg", "7003169_07.jpg" ]
Starting his career at DreamWorks Animation, Don Allen III is a multidisciplinary creator, speaker and consultant who collaborates with major tech and entertainment companies on mixed reality, virtual reality and AI applications. “For a long time I've been making augmented reality hybrid creatures that I think would be fun combinations in my head. Now I have a much easier way of prototyping the ideas before I fully build out the 3-D characters to place in spatial computers.” Don cites Sora’s “weirdness” as its greatest strength: “It’s not bound by traditional laws of physics or conventions of thought.” He says that working with Sora shifted his focus from “technical hurdles to pure creativity…unlocking a world of instant visualization and rapid prototyping.” At the same time, Don says “I feel like this allows me to focus more of my time and energy in the right places… and the emotional impact that I would like my characters to have.”
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003169.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 \"Starting his career at DreamWorks Animation, Don Allen III is a multidisciplinary creator, speaker and consultant who collaborates with major tech and entertainment companies on mixed reality, virtual reality and AI applications. “For a long time I've been making augmented reality hybrid creatures that I think would be fun combinations in my head. Now I have a much easier way of prototyping the ideas before I fully build out the 3-D characters to place in spatial computers.” Don cites Sora’s “weirdness” as its greatest strength: “It’s not bound by traditional laws of physics or conventions of thought.” He says that working with Sora shifted his focus from “technical hurdles to pure creativity…unlocking a world of instant visualization and rapid prototyping.” At the same time, Don says “I feel like this allows me to focus more of my time and energy in the right places… and the emotional impact that I would like my characters to have.”\",\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" } ]
2000100
[ "2000100_00.jpg", "2000100_01.jpg", "2000100_02.jpg", "2000100_03.jpg", "2000100_04.jpg", "2000100_05.jpg", "2000100_06.jpg", "2000100_07.jpg", "2000100_08.jpg", "2000100_09.jpg", "2000100_10.jpg", "2000100_11.jpg", "2000100_12.jpg", "2000100_13.jpg", "2000100_14.jpg", "2000100_15.jpg" ]
4 baby cats crowd by the window , curiously watching inside the tiny house,happy and mischievous.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000100.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 \"4 baby cats crowd by the window , curiously watching inside the tiny house,happy and mischievous.\",\nall the frames of video are as 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" } ]
8000871
[ "8000871_00.jpg", "8000871_01.jpg", "8000871_02.jpg", "8000871_03.jpg", "8000871_04.jpg", "8000871_05.jpg", "8000871_06.jpg", "8000871_07.jpg", "8000871_08.jpg", "8000871_09.jpg", "8000871_10.jpg", "8000871_11.jpg", "8000871_12.jpg", "8000871_13.jpg", "8000871_14.jpg", "8000871_15.jpg", "8000871_16.jpg", "8000871_17.jpg", "8000871_18.jpg", "8000871_19.jpg", "8000871_20.jpg", "8000871_21.jpg", "8000871_22.jpg", "8000871_23.jpg" ]
a little girl she drawing pictures in inside of her house
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000871.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 little girl she drawing pictures in inside of her house\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
1005422
[ "1005422_00.jpg", "1005422_01.jpg", "1005422_02.jpg", "1005422_03.jpg", "1005422_04.jpg", "1005422_05.jpg", "1005422_06.jpg", "1005422_07.jpg", "1005422_08.jpg", "1005422_09.jpg", "1005422_10.jpg", "1005422_11.jpg", "1005422_12.jpg", "1005422_13.jpg", "1005422_14.jpg", "1005422_15.jpg" ]
Solar sail flies into the depths of the univers
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005422.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 \"Solar sail flies into the depths of the univers\",\nall the frames of video are as 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" } ]
1001245
[ "1001245_00.jpg", "1001245_01.jpg", "1001245_02.jpg", "1001245_03.jpg", "1001245_04.jpg", "1001245_05.jpg", "1001245_06.jpg", "1001245_07.jpg", "1001245_08.jpg", "1001245_09.jpg", "1001245_10.jpg", "1001245_11.jpg", "1001245_12.jpg", "1001245_13.jpg", "1001245_14.jpg", "1001245_15.jpg" ]
Young woman with smiling face drinking coffee in the kitchen of a cozy house, cinematic, 16:9
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001245.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 \"Young woman with smiling face drinking coffee in the kitchen of a cozy house, cinematic, 16:9\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0006334
[ "0006334_00.jpg", "0006334_01.jpg", "0006334_02.jpg", "0006334_03.jpg", "0006334_04.jpg", "0006334_05.jpg", "0006334_06.jpg", "0006334_07.jpg", "0006334_08.jpg", "0006334_09.jpg", "0006334_10.jpg", "0006334_11.jpg", "0006334_12.jpg", "0006334_13.jpg", "0006334_14.jpg", "0006334_15.jpg", "0006334_16.jpg", "0006334_17.jpg", "0006334_18.jpg", "0006334_19.jpg", "0006334_20.jpg", "0006334_21.jpg", "0006334_22.jpg", "0006334_23.jpg" ]
Rain drops in the window with the view of Rome at night time
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006334.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 \"Rain drops in the window with the view of Rome at night time\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1000675
[ "1000675_00.jpg", "1000675_01.jpg", "1000675_02.jpg", "1000675_03.jpg", "1000675_04.jpg", "1000675_05.jpg", "1000675_06.jpg", "1000675_07.jpg", "1000675_08.jpg", "1000675_09.jpg", "1000675_10.jpg", "1000675_11.jpg", "1000675_12.jpg", "1000675_13.jpg", "1000675_14.jpg", "1000675_15.jpg" ]
a man in a bush watching angels play guitar in a valley , mystical , by rene magritte , michelangelo
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000675.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a man in a bush watching angels play guitar in a valley , mystical , by rene magritte , michelangelo\",\nall the frames of video are as 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" } ]
4003273
[ "4003273_00.jpg", "4003273_01.jpg", "4003273_02.jpg", "4003273_03.jpg", "4003273_04.jpg", "4003273_05.jpg", "4003273_06.jpg", "4003273_07.jpg", "4003273_08.jpg", "4003273_09.jpg", "4003273_10.jpg", "4003273_11.jpg", "4003273_12.jpg", "4003273_13.jpg", "4003273_14.jpg", "4003273_15.jpg" ]
They spent the entire night talking and laughing, feeling an instant connection.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003273.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 \"They spent the entire night talking and laughing, feeling an instant connection.\",\nall the frames of video are as 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" } ]
1000021
[ "1000021_00.jpg", "1000021_01.jpg", "1000021_02.jpg", "1000021_03.jpg", "1000021_04.jpg", "1000021_05.jpg", "1000021_06.jpg", "1000021_07.jpg", "1000021_08.jpg", "1000021_09.jpg", "1000021_10.jpg", "1000021_11.jpg", "1000021_12.jpg", "1000021_13.jpg", "1000021_14.jpg", "1000021_15.jpg" ]
Animals real fight in jungle motion 4
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000021.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 \"Animals real fight in jungle motion 4\",\nall the frames of video are as 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" } ]
s000256
[ "s000256_00.jpg", "s000256_01.jpg", "s000256_02.jpg", "s000256_03.jpg", "s000256_04.jpg", "s000256_05.jpg", "s000256_06.jpg", "s000256_07.jpg", "s000256_08.jpg", "s000256_09.jpg", "s000256_10.jpg", "s000256_11.jpg", "s000256_12.jpg", "s000256_13.jpg", "s000256_14.jpg", "s000256_15.jpg", "s000256_16.jpg", "s000256_17.jpg", "s000256_18.jpg", "s000256_19.jpg", "s000256_20.jpg", "s000256_21.jpg", "s000256_22.jpg", "s000256_23.jpg" ]
Origami dancers in white paper, 3D render, on white background, studio shot, dancing modern dance
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000256.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 \"Origami dancers in white paper, 3D render, on white background, studio shot, dancing modern dance\",\nall the 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" } ]
8002177
[ "8002177_00.jpg", "8002177_01.jpg", "8002177_02.jpg", "8002177_03.jpg", "8002177_04.jpg", "8002177_05.jpg", "8002177_06.jpg", "8002177_07.jpg", "8002177_08.jpg", "8002177_09.jpg", "8002177_10.jpg", "8002177_11.jpg", "8002177_12.jpg", "8002177_13.jpg", "8002177_14.jpg", "8002177_15.jpg", "8002177_16.jpg", "8002177_17.jpg", "8002177_18.jpg", "8002177_19.jpg", "8002177_20.jpg", "8002177_21.jpg", "8002177_22.jpg", "8002177_23.jpg" ]
Clock. Large in an abandoned house with camera zoom
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002177.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 \"Clock. Large in an abandoned house with camera zoom\",\nall the 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" } ]
3004793
[ "3004793_00.jpg", "3004793_01.jpg", "3004793_02.jpg", "3004793_03.jpg", "3004793_04.jpg", "3004793_05.jpg", "3004793_06.jpg", "3004793_07.jpg", "3004793_08.jpg", "3004793_09.jpg", "3004793_10.jpg", "3004793_11.jpg", "3004793_12.jpg", "3004793_13.jpg", "3004793_14.jpg", "3004793_15.jpg" ]
many people in white clothes in a beautiful forest landscape with a peaceful looking lake
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004793.mp4
3
3
2
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"many people in white clothes in a beautiful forest landscape with a peaceful looking lake\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
8003192
[ "8003192_00.jpg", "8003192_01.jpg", "8003192_02.jpg", "8003192_03.jpg", "8003192_04.jpg", "8003192_05.jpg", "8003192_06.jpg", "8003192_07.jpg", "8003192_08.jpg", "8003192_09.jpg", "8003192_10.jpg", "8003192_11.jpg", "8003192_12.jpg", "8003192_13.jpg", "8003192_14.jpg", "8003192_15.jpg", "8003192_16.jpg", "8003192_17.jpg", "8003192_18.jpg", "8003192_19.jpg", "8003192_20.jpg", "8003192_21.jpg", "8003192_22.jpg", "8003192_23.jpg" ]
There is a Great Wall on the moon
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003192.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 \"There is a Great Wall on the moon\",\nall the 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" } ]
1002424
[ "1002424_00.jpg", "1002424_01.jpg", "1002424_02.jpg", "1002424_03.jpg", "1002424_04.jpg", "1002424_05.jpg", "1002424_06.jpg", "1002424_07.jpg", "1002424_08.jpg", "1002424_09.jpg", "1002424_10.jpg", "1002424_11.jpg", "1002424_12.jpg", "1002424_13.jpg", "1002424_14.jpg", "1002424_15.jpg" ]
sun rising to the sky, illuminating the land, plants jeering
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002424.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 \"sun rising to the sky, illuminating the land, plants jeering\",\nall the frames of video are as 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" } ]
2000859
[ "2000859_00.jpg", "2000859_01.jpg", "2000859_02.jpg", "2000859_03.jpg", "2000859_04.jpg", "2000859_05.jpg", "2000859_06.jpg", "2000859_07.jpg", "2000859_08.jpg", "2000859_09.jpg", "2000859_10.jpg", "2000859_11.jpg", "2000859_12.jpg", "2000859_13.jpg", "2000859_14.jpg", "2000859_15.jpg" ]
logo of a power of knowledge coming out from book for my youtube channel Granth vichar meaning thoughts of ancient books
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000859.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 \"logo of a power of knowledge coming out from book for my youtube channel Granth vichar meaning thoughts of ancient books\",\nall the frames of video are as 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" } ]
0005737
[ "0005737_00.jpg", "0005737_01.jpg", "0005737_02.jpg", "0005737_03.jpg", "0005737_04.jpg", "0005737_05.jpg", "0005737_06.jpg", "0005737_07.jpg", "0005737_08.jpg", "0005737_09.jpg", "0005737_10.jpg", "0005737_11.jpg", "0005737_12.jpg", "0005737_13.jpg", "0005737_14.jpg", "0005737_15.jpg", "0005737_16.jpg", "0005737_17.jpg", "0005737_18.jpg", "0005737_19.jpg", "0005737_20.jpg", "0005737_21.jpg", "0005737_22.jpg", "0005737_23.jpg" ]
medium waves, man looking around, beach evening, moon appearing in the corner
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005737.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 \"medium waves, man looking around, beach evening, moon appearing in the corner\",\nall the 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" } ]
3000529
[ "3000529_00.jpg", "3000529_01.jpg", "3000529_02.jpg", "3000529_03.jpg", "3000529_04.jpg", "3000529_05.jpg", "3000529_06.jpg", "3000529_07.jpg", "3000529_08.jpg", "3000529_09.jpg", "3000529_10.jpg", "3000529_11.jpg", "3000529_12.jpg", "3000529_13.jpg", "3000529_14.jpg", "3000529_15.jpg" ]
portrait of an urban hip hop guy
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000529.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 \"portrait of an urban hip hop guy\",\nall the frames of video are as 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" } ]
2001385
[ "2001385_00.jpg", "2001385_01.jpg", "2001385_02.jpg", "2001385_03.jpg", "2001385_04.jpg", "2001385_05.jpg", "2001385_06.jpg", "2001385_07.jpg", "2001385_08.jpg", "2001385_09.jpg", "2001385_10.jpg", "2001385_11.jpg", "2001385_12.jpg", "2001385_13.jpg", "2001385_14.jpg", "2001385_15.jpg" ]
on Friday, waiting to get off work
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001385.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"on Friday, waiting to get off work\",\nall the frames of video are as 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" } ]
4001719
[ "4001719_00.jpg", "4001719_01.jpg", "4001719_02.jpg", "4001719_03.jpg", "4001719_04.jpg", "4001719_05.jpg", "4001719_06.jpg", "4001719_07.jpg", "4001719_08.jpg", "4001719_09.jpg", "4001719_10.jpg", "4001719_11.jpg", "4001719_12.jpg", "4001719_13.jpg", "4001719_14.jpg", "4001719_15.jpg" ]
a full scene showing a cloud of smoke come together warping into the face of Lilith, in the artistic style of H.R. Giger
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001719.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 full scene showing a cloud of smoke come together warping into the face of Lilith, in the artistic style of H.R. Giger\",\nall the frames of video are as 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" } ]
1006467
[ "1006467_00.jpg", "1006467_01.jpg", "1006467_02.jpg", "1006467_03.jpg", "1006467_04.jpg", "1006467_05.jpg", "1006467_06.jpg", "1006467_07.jpg", "1006467_08.jpg", "1006467_09.jpg", "1006467_10.jpg", "1006467_11.jpg", "1006467_12.jpg", "1006467_13.jpg", "1006467_14.jpg", "1006467_15.jpg" ]
A girl talking with a friend.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006467.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 girl talking with a friend.\",\nall the frames of video are as 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" } ]
1001442
[ "1001442_00.jpg", "1001442_01.jpg", "1001442_02.jpg", "1001442_03.jpg", "1001442_04.jpg", "1001442_05.jpg", "1001442_06.jpg", "1001442_07.jpg", "1001442_08.jpg", "1001442_09.jpg", "1001442_10.jpg", "1001442_11.jpg", "1001442_12.jpg", "1001442_13.jpg", "1001442_14.jpg", "1001442_15.jpg" ]
Beneath the stormy sky, rain poured in torrents, drenching the city streets in a relentless deluge. Lightning crackled across the darkened heavens, illuminating the landscape in brief, electrifying flashes. Thunder roared like an angry beast, shaking the very foundations of the earth. In this tempestuous chaos, umbrellas were turned inside out, trees swayed perilously, and the world seemed to hold its breath, awaiting the next furious outburst from the tumultuous skies.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001442.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 \"Beneath the stormy sky, rain poured in torrents, drenching the city streets in a relentless deluge. Lightning crackled across the darkened heavens, illuminating the landscape in brief, electrifying flashes. Thunder roared like an angry beast, shaking the very foundations of the earth. In this tempestuous chaos, umbrellas were turned inside out, trees swayed perilously, and the world seemed to hold its breath, awaiting the next furious outburst from the tumultuous skies.\",\nall the frames of video are as 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" } ]
5000369
[ "5000369_00.jpg", "5000369_01.jpg", "5000369_02.jpg", "5000369_03.jpg", "5000369_04.jpg", "5000369_05.jpg", "5000369_06.jpg", "5000369_07.jpg", "5000369_08.jpg", "5000369_09.jpg", "5000369_10.jpg", "5000369_11.jpg", "5000369_12.jpg", "5000369_13.jpg", "5000369_14.jpg", "5000369_15.jpg" ]
The video begins with a slow shot of a closed door that slowly opens. The camera slowly moves forward and a table with a computer and technical equipment appears inside the room. On the table is a small robot without a face.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000369.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 \"The video begins with a slow shot of a closed door that slowly opens. The camera slowly moves forward and a table with a computer and technical equipment appears inside the room. On the table is a small robot without a face.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7003673
[ "7003673_00.jpg", "7003673_01.jpg", "7003673_02.jpg", "7003673_03.jpg", "7003673_04.jpg", "7003673_05.jpg", "7003673_06.jpg", "7003673_07.jpg" ]
little elephant named Ellie, shiny, colorful rock
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003673.mp4
2
2
2
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"little elephant named Ellie, shiny, colorful rock\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0001577
[ "0001577_00.jpg", "0001577_01.jpg", "0001577_02.jpg", "0001577_03.jpg", "0001577_04.jpg", "0001577_05.jpg", "0001577_06.jpg", "0001577_07.jpg", "0001577_08.jpg", "0001577_09.jpg", "0001577_10.jpg", "0001577_11.jpg", "0001577_12.jpg", "0001577_13.jpg", "0001577_14.jpg", "0001577_15.jpg", "0001577_16.jpg", "0001577_17.jpg", "0001577_18.jpg", "0001577_19.jpg", "0001577_20.jpg", "0001577_21.jpg", "0001577_22.jpg", "0001577_23.jpg" ]
an old tv playin static in 4k
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001577.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 \"an old tv playin static in 4k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6000739
[ "6000739_00.jpg", "6000739_01.jpg", "6000739_02.jpg", "6000739_03.jpg", "6000739_04.jpg", "6000739_05.jpg", "6000739_06.jpg", "6000739_07.jpg", "6000739_08.jpg", "6000739_09.jpg", "6000739_10.jpg", "6000739_11.jpg", "6000739_12.jpg", "6000739_13.jpg", "6000739_14.jpg", "6000739_15.jpg" ]
Darkfantasy, 1970, indie, an old man waves goodbye by rocky mountains by the sea and the weather is misty
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000739.mp4
1
3
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Darkfantasy, 1970, indie, an old man waves goodbye by rocky mountains by the sea and the weather is misty\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2000198
[ "2000198_00.jpg", "2000198_01.jpg", "2000198_02.jpg", "2000198_03.jpg", "2000198_04.jpg", "2000198_05.jpg", "2000198_06.jpg", "2000198_07.jpg", "2000198_08.jpg", "2000198_09.jpg", "2000198_10.jpg", "2000198_11.jpg", "2000198_12.jpg", "2000198_13.jpg", "2000198_14.jpg", "2000198_15.jpg" ]
An animation picture of a sculptor with satisfied expression after learning lesson of success from his father.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000198.mp4
3
3
2
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"An animation picture of a sculptor with satisfied expression after learning lesson of success from his father.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1001983
[ "1001983_00.jpg", "1001983_01.jpg", "1001983_02.jpg", "1001983_03.jpg", "1001983_04.jpg", "1001983_05.jpg", "1001983_06.jpg", "1001983_07.jpg", "1001983_08.jpg", "1001983_09.jpg", "1001983_10.jpg", "1001983_11.jpg", "1001983_12.jpg", "1001983_13.jpg", "1001983_14.jpg", "1001983_15.jpg" ]
The purpose of studying finance is not to make money, but wealth will come with studying finance
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001983.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The purpose of studying finance is not to make money, but wealth will come with studying finance\",\nall the frames of video are as 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" } ]
2001793
[ "2001793_00.jpg", "2001793_01.jpg", "2001793_02.jpg", "2001793_03.jpg", "2001793_04.jpg", "2001793_05.jpg", "2001793_06.jpg", "2001793_07.jpg", "2001793_08.jpg", "2001793_09.jpg", "2001793_10.jpg", "2001793_11.jpg", "2001793_12.jpg", "2001793_13.jpg", "2001793_14.jpg", "2001793_15.jpg" ]
creat an image of sea animals inside sea, Gradient color, neon ligt
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001793.mp4
2
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1
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 \"creat an image of sea animals inside sea, Gradient color, neon ligt\",\nall the frames of video are as 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" } ]
1002235
[ "1002235_00.jpg", "1002235_01.jpg", "1002235_02.jpg", "1002235_03.jpg", "1002235_04.jpg", "1002235_05.jpg", "1002235_06.jpg", "1002235_07.jpg", "1002235_08.jpg", "1002235_09.jpg", "1002235_10.jpg", "1002235_11.jpg", "1002235_12.jpg", "1002235_13.jpg", "1002235_14.jpg", "1002235_15.jpg" ]
telegram channel logo with hacker mask
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002235.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 \"telegram channel logo with hacker mask\",\nall the frames of video are as 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" } ]
4001934
[ "4001934_00.jpg", "4001934_01.jpg", "4001934_02.jpg", "4001934_03.jpg", "4001934_04.jpg", "4001934_05.jpg", "4001934_06.jpg", "4001934_07.jpg", "4001934_08.jpg", "4001934_09.jpg", "4001934_10.jpg", "4001934_11.jpg", "4001934_12.jpg", "4001934_13.jpg", "4001934_14.jpg", "4001934_15.jpg" ]
a famous YouTubers streaming set up. Full of all the neon lights and expensive equipment. Message: live Now (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001934.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 \"a famous YouTubers streaming set up. Full of all the neon lights and expensive equipment. Message: live Now (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
1000601
[ "1000601_00.jpg", "1000601_01.jpg", "1000601_02.jpg", "1000601_03.jpg", "1000601_04.jpg", "1000601_05.jpg", "1000601_06.jpg", "1000601_07.jpg", "1000601_08.jpg", "1000601_09.jpg", "1000601_10.jpg", "1000601_11.jpg", "1000601_12.jpg", "1000601_13.jpg", "1000601_14.jpg", "1000601_15.jpg" ]
shapes name image for YouTube thumbnail create image
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000601.mp4
1
2
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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 \"shapes name image for YouTube thumbnail create image\",\nall the frames of video are as 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" } ]
8000796
[ "8000796_00.jpg", "8000796_01.jpg", "8000796_02.jpg", "8000796_03.jpg", "8000796_04.jpg", "8000796_05.jpg", "8000796_06.jpg", "8000796_07.jpg", "8000796_08.jpg", "8000796_09.jpg", "8000796_10.jpg", "8000796_11.jpg", "8000796_12.jpg", "8000796_13.jpg", "8000796_14.jpg", "8000796_15.jpg", "8000796_16.jpg", "8000796_17.jpg", "8000796_18.jpg", "8000796_19.jpg", "8000796_20.jpg", "8000796_21.jpg", "8000796_22.jpg", "8000796_23.jpg" ]
a network growing over the earth
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000796.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 network growing over the earth\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
0001063
[ "0001063_00.jpg", "0001063_01.jpg", "0001063_02.jpg", "0001063_03.jpg", "0001063_04.jpg", "0001063_05.jpg", "0001063_06.jpg", "0001063_07.jpg", "0001063_08.jpg", "0001063_09.jpg", "0001063_10.jpg", "0001063_11.jpg", "0001063_12.jpg", "0001063_13.jpg", "0001063_14.jpg", "0001063_15.jpg", "0001063_16.jpg", "0001063_17.jpg", "0001063_18.jpg", "0001063_19.jpg", "0001063_20.jpg", "0001063_21.jpg", "0001063_22.jpg", "0001063_23.jpg" ]
Sherman Securities logo for stock brokage
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001063.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 \"Sherman Securities logo for stock brokage\",\nall the 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" } ]
6004115
[ "6004115_00.jpg", "6004115_01.jpg", "6004115_02.jpg", "6004115_03.jpg", "6004115_04.jpg", "6004115_05.jpg", "6004115_06.jpg", "6004115_07.jpg", "6004115_08.jpg", "6004115_09.jpg", "6004115_10.jpg", "6004115_11.jpg", "6004115_12.jpg", "6004115_13.jpg", "6004115_14.jpg", "6004115_15.jpg" ]
There he saw a cartoon lion crying in pain. There was a thorn in his right paw.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004115.mp4
1
3
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"There he saw a cartoon lion crying in pain. There was a thorn in his right paw.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7001322
[ "7001322_00.jpg", "7001322_01.jpg", "7001322_02.jpg", "7001322_03.jpg", "7001322_04.jpg", "7001322_05.jpg", "7001322_06.jpg", "7001322_07.jpg" ]
No prompt
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001322.mp4
3
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 \"No prompt\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
7004759
[ "7004759_00.jpg", "7004759_01.jpg", "7004759_02.jpg", "7004759_03.jpg", "7004759_04.jpg", "7004759_05.jpg", "7004759_06.jpg", "7004759_07.jpg" ]
realistic planete with crepe shape , in the space
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004759.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 \"realistic planete with crepe shape , in the space\",\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" } ]
7001624
[ "7001624_00.jpg", "7001624_01.jpg", "7001624_02.jpg", "7001624_03.jpg", "7001624_04.jpg", "7001624_05.jpg", "7001624_06.jpg", "7001624_07.jpg" ]
Japanese village with dark gray roof and LED lights around Message: Jorge Alejandro (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001624.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 \"Japanese village with dark gray roof and LED lights around Message: Jorge Alejandro (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
0005072
[ "0005072_00.jpg", "0005072_01.jpg", "0005072_02.jpg", "0005072_03.jpg", "0005072_04.jpg", "0005072_05.jpg", "0005072_06.jpg", "0005072_07.jpg", "0005072_08.jpg", "0005072_09.jpg", "0005072_10.jpg", "0005072_11.jpg", "0005072_12.jpg", "0005072_13.jpg", "0005072_14.jpg", "0005072_15.jpg", "0005072_16.jpg", "0005072_17.jpg", "0005072_18.jpg", "0005072_19.jpg", "0005072_20.jpg", "0005072_21.jpg", "0005072_22.jpg", "0005072_23.jpg" ]
a scene from the verge of dismissal, aesthetics equal to a Tarantino film, car chase
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005072.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 scene from the verge of dismissal, aesthetics equal to a Tarantino film, car chase\",\nall the 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" } ]
2000932
[ "2000932_00.jpg", "2000932_01.jpg", "2000932_02.jpg", "2000932_03.jpg", "2000932_04.jpg", "2000932_05.jpg", "2000932_06.jpg", "2000932_07.jpg", "2000932_08.jpg", "2000932_09.jpg", "2000932_10.jpg", "2000932_11.jpg", "2000932_12.jpg", "2000932_13.jpg", "2000932_14.jpg", "2000932_15.jpg" ]
A man is flying in the sky between the trees
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000932.mp4
3
2
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0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A man is flying in the sky between the trees\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
2003980
[ "2003980_00.jpg", "2003980_01.jpg", "2003980_02.jpg", "2003980_03.jpg", "2003980_04.jpg", "2003980_05.jpg", "2003980_06.jpg", "2003980_07.jpg", "2003980_08.jpg", "2003980_09.jpg", "2003980_10.jpg", "2003980_11.jpg", "2003980_12.jpg", "2003980_13.jpg", "2003980_14.jpg", "2003980_15.jpg" ]
Gazing up through a distant valley, captured from a low angle. The Milky Way cascades like a waterfall in the night sky, with the glow of nebulae and stars swirling like mist. Soft lighting on the ground outlines the contours of the mountains. The color palette, dominated by deep blues and purples, creates a mysterious and dreamlike scene.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003980.mp4
2
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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 \"Gazing up through a distant valley, captured from a low angle. The Milky Way cascades like a waterfall in the night sky, with the glow of nebulae and stars swirling like mist. Soft lighting on the ground outlines the contours of the mountains. The color palette, dominated by deep blues and purples, creates a mysterious and dreamlike scene.\",\nall the frames of video are as 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" } ]
8000662
[ "8000662_00.jpg", "8000662_01.jpg", "8000662_02.jpg", "8000662_03.jpg", "8000662_04.jpg", "8000662_05.jpg", "8000662_06.jpg", "8000662_07.jpg", "8000662_08.jpg", "8000662_09.jpg", "8000662_10.jpg", "8000662_11.jpg", "8000662_12.jpg", "8000662_13.jpg", "8000662_14.jpg", "8000662_15.jpg", "8000662_16.jpg", "8000662_17.jpg", "8000662_18.jpg", "8000662_19.jpg", "8000662_20.jpg", "8000662_21.jpg", "8000662_22.jpg", "8000662_23.jpg" ]
A beautiful woman is watching TV on the sofa.Young, sexy women
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000662.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 beautiful woman is watching TV on the sofa.Young, sexy women\",\nall the 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" } ]
0000625
[ "0000625_00.jpg", "0000625_01.jpg", "0000625_02.jpg", "0000625_03.jpg", "0000625_04.jpg", "0000625_05.jpg", "0000625_06.jpg", "0000625_07.jpg", "0000625_08.jpg", "0000625_09.jpg", "0000625_10.jpg", "0000625_11.jpg", "0000625_12.jpg", "0000625_13.jpg", "0000625_14.jpg", "0000625_15.jpg", "0000625_16.jpg", "0000625_17.jpg", "0000625_18.jpg", "0000625_19.jpg", "0000625_20.jpg", "0000625_21.jpg", "0000625_22.jpg", "0000625_23.jpg" ]
Happy New Year 2024 with Artificial Lights
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000625.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 \"Happy New Year 2024 with Artificial Lights\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6000973
[ "6000973_00.jpg", "6000973_01.jpg", "6000973_02.jpg", "6000973_03.jpg", "6000973_04.jpg", "6000973_05.jpg", "6000973_06.jpg", "6000973_07.jpg", "6000973_08.jpg", "6000973_09.jpg", "6000973_10.jpg", "6000973_11.jpg", "6000973_12.jpg", "6000973_13.jpg", "6000973_14.jpg", "6000973_15.jpg" ]
A funny picture of a grumpy cat
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000973.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 funny picture of a grumpy cat\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7004329
[ "7004329_00.jpg", "7004329_01.jpg", "7004329_02.jpg", "7004329_03.jpg", "7004329_04.jpg", "7004329_05.jpg", "7004329_06.jpg", "7004329_07.jpg" ]
: a boy and girl shouting in front of camera with fast lips movement
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004329.mp4
2
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \": a boy and girl shouting in front of camera with fast lips movement\",\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" } ]
8000873
[ "8000873_00.jpg", "8000873_01.jpg", "8000873_02.jpg", "8000873_03.jpg", "8000873_04.jpg", "8000873_05.jpg", "8000873_06.jpg", "8000873_07.jpg", "8000873_08.jpg", "8000873_09.jpg", "8000873_10.jpg", "8000873_11.jpg", "8000873_12.jpg", "8000873_13.jpg", "8000873_14.jpg", "8000873_15.jpg", "8000873_16.jpg", "8000873_17.jpg", "8000873_18.jpg", "8000873_19.jpg", "8000873_20.jpg", "8000873_21.jpg", "8000873_22.jpg", "8000873_23.jpg" ]
3D animated children ready for school going to the school van
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000873.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 \"3D animated children ready for school going to the school van\",\nall the 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" } ]
1006323
[ "1006323_00.jpg", "1006323_01.jpg", "1006323_02.jpg", "1006323_03.jpg", "1006323_04.jpg", "1006323_05.jpg", "1006323_06.jpg", "1006323_07.jpg", "1006323_08.jpg", "1006323_09.jpg", "1006323_10.jpg", "1006323_11.jpg", "1006323_12.jpg", "1006323_13.jpg", "1006323_14.jpg", "1006323_15.jpg" ]
just give me Videos for my background (im making a shortcut Video about fakenews) so give me for example Videos which prople talk in or some news things (no noises)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006323.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 \"just give me Videos for my background (im making a shortcut Video about fakenews) so give me for example Videos which prople talk in or some news things (no noises)\",\nall the frames of video are as 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" } ]
9000858
[ "9000858_00.jpg", "9000858_01.jpg", "9000858_02.jpg", "9000858_03.jpg", "9000858_04.jpg", "9000858_05.jpg", "9000858_06.jpg", "9000858_07.jpg", "9000858_08.jpg", "9000858_09.jpg", "9000858_10.jpg", "9000858_11.jpg", "9000858_12.jpg", "9000858_13.jpg", "9000858_14.jpg", "9000858_15.jpg", "9000858_16.jpg", "9000858_17.jpg", "9000858_18.jpg", "9000858_19.jpg", "9000858_20.jpg", "9000858_21.jpg", "9000858_22.jpg", "9000858_23.jpg" ]
ghost moving around in a lost place closed industry complex nuclear and radioactive destroyed
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000858.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 \"ghost moving around in a lost place closed industry complex nuclear and radioactive destroyed\",\nall the 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" } ]
1003678
[ "1003678_00.jpg", "1003678_01.jpg", "1003678_02.jpg", "1003678_03.jpg", "1003678_04.jpg", "1003678_05.jpg", "1003678_06.jpg", "1003678_07.jpg", "1003678_08.jpg", "1003678_09.jpg", "1003678_10.jpg", "1003678_11.jpg", "1003678_12.jpg", "1003678_13.jpg", "1003678_14.jpg", "1003678_15.jpg" ]
a city on fire, a superhero hovers flying with flames in the background. Cinematic, HD
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003678.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 city on fire, a superhero hovers flying with flames in the background. Cinematic, HD\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
5000551
[ "5000551_00.jpg", "5000551_01.jpg", "5000551_02.jpg", "5000551_03.jpg", "5000551_04.jpg", "5000551_05.jpg", "5000551_06.jpg", "5000551_07.jpg", "5000551_08.jpg", "5000551_09.jpg", "5000551_10.jpg", "5000551_11.jpg", "5000551_12.jpg", "5000551_13.jpg", "5000551_14.jpg", "5000551_15.jpg" ]
aesthetic minimal pastel translucent blob rotating
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000551.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 \"aesthetic minimal pastel translucent blob rotating\",\nall the frames of video are as 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" } ]
1000274
[ "1000274_00.jpg", "1000274_01.jpg", "1000274_02.jpg", "1000274_03.jpg", "1000274_04.jpg", "1000274_05.jpg", "1000274_06.jpg", "1000274_07.jpg", "1000274_08.jpg", "1000274_09.jpg", "1000274_10.jpg", "1000274_11.jpg", "1000274_12.jpg", "1000274_13.jpg", "1000274_14.jpg", "1000274_15.jpg" ]
happy teachers in the classroom painting crazy circular patterns on the blackboard, children dancing, colourful clouds of smoke, 1987, old VSH recording, Denmark
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000274.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 \"happy teachers in the classroom painting crazy circular patterns on the blackboard, children dancing, colourful clouds of smoke, 1987, old VSH recording, Denmark\",\nall the frames of video are as 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" } ]
9000112
[ "9000112_00.jpg", "9000112_01.jpg", "9000112_02.jpg", "9000112_03.jpg", "9000112_04.jpg", "9000112_05.jpg", "9000112_06.jpg", "9000112_07.jpg", "9000112_08.jpg", "9000112_09.jpg", "9000112_10.jpg", "9000112_11.jpg", "9000112_12.jpg", "9000112_13.jpg", "9000112_14.jpg", "9000112_15.jpg", "9000112_16.jpg", "9000112_17.jpg", "9000112_18.jpg", "9000112_19.jpg", "9000112_20.jpg", "9000112_21.jpg", "9000112_22.jpg", "9000112_23.jpg" ]
a farily tail of a girl being told a bedtimr story of the perfect wedding.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000112.mp4
2
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a farily tail of a girl being told a bedtimr story of the perfect wedding.\",\nall the 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" } ]
1005142
[ "1005142_00.jpg", "1005142_01.jpg", "1005142_02.jpg", "1005142_03.jpg", "1005142_04.jpg", "1005142_05.jpg", "1005142_06.jpg", "1005142_07.jpg", "1005142_08.jpg", "1005142_09.jpg", "1005142_10.jpg", "1005142_11.jpg", "1005142_12.jpg", "1005142_13.jpg", "1005142_14.jpg", "1005142_15.jpg" ]
Model a 3D version of the blooming flowers in the forest
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005142.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 \"Model a 3D version of the blooming flowers in the forest\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
4000612
[ "4000612_00.jpg", "4000612_01.jpg", "4000612_02.jpg", "4000612_03.jpg", "4000612_04.jpg", "4000612_05.jpg", "4000612_06.jpg", "4000612_07.jpg", "4000612_08.jpg", "4000612_09.jpg", "4000612_10.jpg", "4000612_11.jpg", "4000612_12.jpg", "4000612_13.jpg", "4000612_14.jpg", "4000612_15.jpg" ]
young girl cartoon style. looks like Rapunzel. 3д. 25 years old. brown straight hair. beautiful. eyes closed. she is sleeping. her head is on the pillow. the girl is wearing pajamas. the room is dark.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000612.mp4
2
2
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"young girl cartoon style. looks like Rapunzel. 3д. 25 years old. brown straight hair. beautiful. eyes closed. she is sleeping. her head is on the pillow. the girl is wearing pajamas. the room is dark.\",\nall the frames of video are as 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" } ]
6001376
[ "6001376_00.jpg", "6001376_01.jpg", "6001376_02.jpg", "6001376_03.jpg", "6001376_04.jpg", "6001376_05.jpg", "6001376_06.jpg", "6001376_07.jpg", "6001376_08.jpg", "6001376_09.jpg", "6001376_10.jpg", "6001376_11.jpg", "6001376_12.jpg", "6001376_13.jpg", "6001376_14.jpg", "6001376_15.jpg" ]
The room was covered with a complex system of electronic circuits, electric currents flickered and glowed, and major components were facing the screen,powerful current flashes VFX in the center.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001376.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 \"The room was covered with a complex system of electronic circuits, electric currents flickered and glowed, and major components were facing the screen,powerful current flashes VFX in the center.\",\nall the frames of video are as 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" } ]
s000846
[ "s000846_00.jpg", "s000846_01.jpg", "s000846_02.jpg", "s000846_03.jpg", "s000846_04.jpg", "s000846_05.jpg", "s000846_06.jpg", "s000846_07.jpg", "s000846_08.jpg", "s000846_09.jpg", "s000846_10.jpg", "s000846_11.jpg", "s000846_12.jpg", "s000846_13.jpg", "s000846_14.jpg", "s000846_15.jpg", "s000846_16.jpg", "s000846_17.jpg", "s000846_18.jpg", "s000846_19.jpg", "s000846_20.jpg", "s000846_21.jpg", "s000846_22.jpg", "s000846_23.jpg" ]
vintage polaroid of flowers in a garden
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000846.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 \"vintage polaroid of flowers in a garden\",\nall the 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" } ]
6002825
[ "6002825_00.jpg", "6002825_01.jpg", "6002825_02.jpg", "6002825_03.jpg", "6002825_04.jpg", "6002825_05.jpg", "6002825_06.jpg", "6002825_07.jpg", "6002825_08.jpg", "6002825_09.jpg", "6002825_10.jpg", "6002825_11.jpg", "6002825_12.jpg", "6002825_13.jpg", "6002825_14.jpg", "6002825_15.jpg" ]
Gwen Stacy reading a book, Van Gogh style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002825.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 \"Gwen Stacy reading a book, Van Gogh style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
2003196
[ "2003196_00.jpg", "2003196_01.jpg", "2003196_02.jpg", "2003196_03.jpg", "2003196_04.jpg", "2003196_05.jpg", "2003196_06.jpg", "2003196_07.jpg", "2003196_08.jpg", "2003196_09.jpg", "2003196_10.jpg", "2003196_11.jpg", "2003196_12.jpg", "2003196_13.jpg", "2003196_14.jpg", "2003196_15.jpg" ]
Old fashioned photograph from 1820 of The Bell Family, posing in their yard for the camera, super realistic and vintage photograph, Americana, black and white
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003196.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 \"Old fashioned photograph from 1820 of The Bell Family, posing in their yard for the camera, super realistic and vintage photograph, Americana, black and white\",\nall the frames of video are as 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" } ]