id
stringlengths 7
7
| images
sequencelengths 8
24
| text prompt
stringlengths 0
947
| video link
stringlengths 89
89
| visual quality
int64 1
4
| temporal consistency
int64 1
4
| dynamic degree
int64 1
4
| text-to-video alignment
int64 0
4
| factual consistency
int64 1
4
| conversations
listlengths 2
2
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0000877 | [
"0000877_00.jpg",
"0000877_01.jpg",
"0000877_02.jpg",
"0000877_03.jpg",
"0000877_04.jpg",
"0000877_05.jpg",
"0000877_06.jpg",
"0000877_07.jpg",
"0000877_08.jpg",
"0000877_09.jpg",
"0000877_10.jpg",
"0000877_11.jpg",
"0000877_12.jpg",
"0000877_13.jpg",
"0000877_14.jpg",
"0000877_15.jpg",
"0000877_16.jpg",
"0000877_17.jpg",
"0000877_18.jpg",
"0000877_19.jpg",
"0000877_20.jpg",
"0000877_21.jpg",
"0000877_22.jpg",
"0000877_23.jpg"
] | Part 4: Quest for Answers (Scene of desolate village, people searching for traces) Narrator (Voiceover): Bewilderment and concern took hold of the villagers as they scoured the landscape for any clues, desperate to unravel the trut | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000877.mp4 | 3 | 2 | 1 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Part 4: Quest for Answers (Scene of desolate village, people searching for traces) Narrator (Voiceover): Bewilderment and concern took hold of the villagers as they scoured the landscape for any clues, desperate to unravel the trut\",\nall the 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: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
7003979 | [
"7003979_00.jpg",
"7003979_01.jpg",
"7003979_02.jpg",
"7003979_03.jpg",
"7003979_04.jpg",
"7003979_05.jpg",
"7003979_06.jpg",
"7003979_07.jpg"
] | Man walks alone in the Dark | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003979.mp4 | 2 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Man walks alone in the Dark\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1002127 | [
"1002127_00.jpg",
"1002127_01.jpg",
"1002127_02.jpg",
"1002127_03.jpg",
"1002127_04.jpg",
"1002127_05.jpg",
"1002127_06.jpg",
"1002127_07.jpg",
"1002127_08.jpg",
"1002127_09.jpg",
"1002127_10.jpg",
"1002127_11.jpg",
"1002127_12.jpg",
"1002127_13.jpg",
"1002127_14.jpg",
"1002127_15.jpg"
] | Five Nights at Freddy’s: Security Breach | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002127.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 \"Five Nights at Freddy’s: Security Breach\",\nall the frames of video are as 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"
}
] |
6000547 | [
"6000547_00.jpg",
"6000547_01.jpg",
"6000547_02.jpg",
"6000547_03.jpg",
"6000547_04.jpg",
"6000547_05.jpg",
"6000547_06.jpg",
"6000547_07.jpg",
"6000547_08.jpg",
"6000547_09.jpg",
"6000547_10.jpg",
"6000547_11.jpg",
"6000547_12.jpg",
"6000547_13.jpg",
"6000547_14.jpg",
"6000547_15.jpg"
] | This close-up shot of a Victoria crowned pigeon showcases its striking blue plumage and red chest. Its crest is made of delicate, lacy feathers, while its eye is a striking red color. The bird’s head is tilted slightly to the side, giving the impression of it looking regal and majestic. The background is blurred, drawing attention to the bird’s striking appearance. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000547.mp4 | 1 | 3 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"This close-up shot of a Victoria crowned pigeon showcases its striking blue plumage and red chest. Its crest is made of delicate, lacy feathers, while its eye is a striking red color. The bird’s head is tilted slightly to the side, giving the impression of it looking regal and majestic. The background is blurred, drawing attention to the bird’s striking appearance.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
2002366 | [
"2002366_00.jpg",
"2002366_01.jpg",
"2002366_02.jpg",
"2002366_03.jpg",
"2002366_04.jpg",
"2002366_05.jpg",
"2002366_06.jpg",
"2002366_07.jpg",
"2002366_08.jpg",
"2002366_09.jpg",
"2002366_10.jpg",
"2002366_11.jpg",
"2002366_12.jpg",
"2002366_13.jpg",
"2002366_14.jpg",
"2002366_15.jpg"
] | realistic on a cloudy day, in the background we can see a paris, Three real astronautes in an arabic style space clothes, with closed helmets, 8k, cold color | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002366.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"realistic on a cloudy day, in the background we can see a paris, Three real astronautes in an arabic style space clothes, with closed helmets, 8k, cold color\",\nall the frames of video are as 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"
}
] |
3001621 | [
"3001621_00.jpg",
"3001621_01.jpg",
"3001621_02.jpg",
"3001621_03.jpg",
"3001621_04.jpg",
"3001621_05.jpg",
"3001621_06.jpg",
"3001621_07.jpg",
"3001621_08.jpg",
"3001621_09.jpg",
"3001621_10.jpg",
"3001621_11.jpg",
"3001621_12.jpg",
"3001621_13.jpg",
"3001621_14.jpg",
"3001621_15.jpg"
] | a golden king monkey, empire, cute colors, epic, cinematic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001621.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 golden king monkey, empire, cute colors, epic, cinematic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
s000056 | [
"s000056_00.jpg",
"s000056_01.jpg",
"s000056_02.jpg",
"s000056_03.jpg",
"s000056_04.jpg",
"s000056_05.jpg",
"s000056_06.jpg",
"s000056_07.jpg",
"s000056_08.jpg",
"s000056_09.jpg",
"s000056_10.jpg",
"s000056_11.jpg",
"s000056_12.jpg",
"s000056_13.jpg",
"s000056_14.jpg",
"s000056_15.jpg",
"s000056_16.jpg",
"s000056_17.jpg",
"s000056_18.jpg",
"s000056_19.jpg"
] | An ancient man dressed in leopard skin stands next to a modern man dressed in a black shirt and trousers, on a white background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000056.mp4 | 4 | 2 | 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 \"An ancient man dressed in leopard skin stands next to a modern man dressed in a black shirt and trousers, on a 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> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 4\n temporal consistency: 2\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n"
}
] |
3006242 | [
"3006242_00.jpg",
"3006242_01.jpg",
"3006242_02.jpg",
"3006242_03.jpg",
"3006242_04.jpg",
"3006242_05.jpg",
"3006242_06.jpg",
"3006242_07.jpg",
"3006242_08.jpg",
"3006242_09.jpg",
"3006242_10.jpg",
"3006242_11.jpg",
"3006242_12.jpg",
"3006242_13.jpg",
"3006242_14.jpg",
"3006242_15.jpg"
] | Tommy Wiseau with a submachine gun running away inside a hotel building. Scifi, cyberpunk. 1990s film | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006242.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 \"Tommy Wiseau with a submachine gun running away inside a hotel building. Scifi, cyberpunk. 1990s film\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
8002192 | [
"8002192_00.jpg",
"8002192_01.jpg",
"8002192_02.jpg",
"8002192_03.jpg",
"8002192_04.jpg",
"8002192_05.jpg",
"8002192_06.jpg",
"8002192_07.jpg",
"8002192_08.jpg",
"8002192_09.jpg",
"8002192_10.jpg",
"8002192_11.jpg",
"8002192_12.jpg",
"8002192_13.jpg",
"8002192_14.jpg",
"8002192_15.jpg",
"8002192_16.jpg",
"8002192_17.jpg",
"8002192_18.jpg",
"8002192_19.jpg",
"8002192_20.jpg",
"8002192_21.jpg",
"8002192_22.jpg",
"8002192_23.jpg"
] | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002192.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> <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"
}
] |
|
6000552 | [
"6000552_00.jpg",
"6000552_01.jpg",
"6000552_02.jpg",
"6000552_03.jpg",
"6000552_04.jpg",
"6000552_05.jpg",
"6000552_06.jpg",
"6000552_07.jpg",
"6000552_08.jpg",
"6000552_09.jpg",
"6000552_10.jpg",
"6000552_11.jpg",
"6000552_12.jpg",
"6000552_13.jpg",
"6000552_14.jpg",
"6000552_15.jpg"
] | a burning ice in the ground | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000552.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 burning ice in the ground\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1002710 | [
"1002710_00.jpg",
"1002710_01.jpg",
"1002710_02.jpg",
"1002710_03.jpg",
"1002710_04.jpg",
"1002710_05.jpg",
"1002710_06.jpg",
"1002710_07.jpg",
"1002710_08.jpg",
"1002710_09.jpg",
"1002710_10.jpg",
"1002710_11.jpg",
"1002710_12.jpg",
"1002710_13.jpg",
"1002710_14.jpg",
"1002710_15.jpg"
] | Tagged happy builders, hundred building, high detail, golden hour, 8k, realism | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002710.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 \"Tagged happy builders, hundred building, high detail, golden hour, 8k, realism\",\nall the frames of video are as 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"
}
] |
8002249 | [
"8002249_00.jpg",
"8002249_01.jpg",
"8002249_02.jpg",
"8002249_03.jpg",
"8002249_04.jpg",
"8002249_05.jpg",
"8002249_06.jpg",
"8002249_07.jpg",
"8002249_08.jpg",
"8002249_09.jpg",
"8002249_10.jpg",
"8002249_11.jpg",
"8002249_12.jpg",
"8002249_13.jpg",
"8002249_14.jpg",
"8002249_15.jpg",
"8002249_16.jpg",
"8002249_17.jpg",
"8002249_18.jpg",
"8002249_19.jpg",
"8002249_20.jpg",
"8002249_21.jpg",
"8002249_22.jpg",
"8002249_23.jpg"
] | a zoom out scene from a jet plane to an apocalyptic city, hyperdetailed, hyperrealism, framed | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002249.mp4 | 2 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a zoom out scene from a jet plane to an apocalyptic city, hyperdetailed, hyperrealism, framed\",\nall the 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"
}
] |
7003697 | [
"7003697_00.jpg",
"7003697_01.jpg",
"7003697_02.jpg",
"7003697_03.jpg",
"7003697_04.jpg",
"7003697_05.jpg",
"7003697_06.jpg",
"7003697_07.jpg"
] | angels playing in sky with beautiful ferries | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003697.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 \"angels playing in sky with beautiful ferries\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
1001315 | [
"1001315_00.jpg",
"1001315_01.jpg",
"1001315_02.jpg",
"1001315_03.jpg",
"1001315_04.jpg",
"1001315_05.jpg",
"1001315_06.jpg",
"1001315_07.jpg",
"1001315_08.jpg",
"1001315_09.jpg",
"1001315_10.jpg",
"1001315_11.jpg",
"1001315_12.jpg",
"1001315_13.jpg",
"1001315_14.jpg",
"1001315_15.jpg"
] | Transition to a scene of a graduation girl ceremony on a sunny day | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001315.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 \"Transition to a scene of a graduation girl ceremony on a sunny day\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
0006574 | [
"0006574_00.jpg",
"0006574_01.jpg",
"0006574_02.jpg",
"0006574_03.jpg",
"0006574_04.jpg",
"0006574_05.jpg",
"0006574_06.jpg",
"0006574_07.jpg",
"0006574_08.jpg",
"0006574_09.jpg",
"0006574_10.jpg",
"0006574_11.jpg",
"0006574_12.jpg",
"0006574_13.jpg",
"0006574_14.jpg",
"0006574_15.jpg",
"0006574_16.jpg",
"0006574_17.jpg",
"0006574_18.jpg",
"0006574_19.jpg",
"0006574_20.jpg",
"0006574_21.jpg",
"0006574_22.jpg",
"0006574_23.jpg"
] | Chimera: A creature with parts from different animals, including a lion, goat and snake, representing hybrid monsters. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006574.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 \"Chimera: A creature with parts from different animals, including a lion, goat and snake, representing hybrid monsters.\",\nall the 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"
}
] |
8003655 | [
"8003655_00.jpg",
"8003655_01.jpg",
"8003655_02.jpg",
"8003655_03.jpg",
"8003655_04.jpg",
"8003655_05.jpg",
"8003655_06.jpg",
"8003655_07.jpg",
"8003655_08.jpg",
"8003655_09.jpg",
"8003655_10.jpg",
"8003655_11.jpg",
"8003655_12.jpg",
"8003655_13.jpg",
"8003655_14.jpg",
"8003655_15.jpg",
"8003655_16.jpg",
"8003655_17.jpg",
"8003655_18.jpg",
"8003655_19.jpg",
"8003655_20.jpg",
"8003655_21.jpg",
"8003655_22.jpg",
"8003655_23.jpg"
] | Pizza making, bacon, ham, 4K, pulsating ingredients, juicy | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003655.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 \"Pizza making, bacon, ham, 4K, pulsating ingredients, juicy\",\nall the 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: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2002645 | [
"2002645_00.jpg",
"2002645_01.jpg",
"2002645_02.jpg",
"2002645_03.jpg",
"2002645_04.jpg",
"2002645_05.jpg",
"2002645_06.jpg",
"2002645_07.jpg",
"2002645_08.jpg",
"2002645_09.jpg",
"2002645_10.jpg",
"2002645_11.jpg",
"2002645_12.jpg",
"2002645_13.jpg",
"2002645_14.jpg",
"2002645_15.jpg"
] | a man and woman walking through lower manhattan, retro dreamscape | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002645.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a man and woman walking through lower manhattan, retro dreamscape\",\nall the frames of video are as 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"
}
] |
4000716 | [
"4000716_00.jpg",
"4000716_01.jpg",
"4000716_02.jpg",
"4000716_03.jpg",
"4000716_04.jpg",
"4000716_05.jpg",
"4000716_06.jpg",
"4000716_07.jpg",
"4000716_08.jpg",
"4000716_09.jpg",
"4000716_10.jpg",
"4000716_11.jpg",
"4000716_12.jpg",
"4000716_13.jpg",
"4000716_14.jpg",
"4000716_15.jpg"
] | Seeking lost alchemical secrets, a mystic explorer meditates within the endless fractal depths of the Mandelbrot set. By M.C. Escher, Rafal Olbinski, Farel Dalrymple | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000716.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 \"Seeking lost alchemical secrets, a mystic explorer meditates within the endless fractal depths of the Mandelbrot set. By M.C. Escher, Rafal Olbinski, Farel Dalrymple\",\nall the frames of video are as 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"
}
] |
1003524 | [
"1003524_00.jpg",
"1003524_01.jpg",
"1003524_02.jpg",
"1003524_03.jpg",
"1003524_04.jpg",
"1003524_05.jpg",
"1003524_06.jpg",
"1003524_07.jpg",
"1003524_08.jpg",
"1003524_09.jpg",
"1003524_10.jpg",
"1003524_11.jpg",
"1003524_12.jpg",
"1003524_13.jpg",
"1003524_14.jpg",
"1003524_15.jpg"
] | cats are an oppressed class, and tigers are the oppressive rulers, show an anime style video of cats marching against the tigers | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003524.mp4 | 2 | 2 | 2 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"cats are an oppressed class, and tigers are the oppressive rulers, show an anime style video of cats marching against the tigers\",\nall the frames of video are as 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: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
7001875 | [
"7001875_00.jpg",
"7001875_01.jpg",
"7001875_02.jpg",
"7001875_03.jpg",
"7001875_04.jpg",
"7001875_05.jpg",
"7001875_06.jpg",
"7001875_07.jpg"
] | a sports ball on the right of a baseball bat, front view | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001875.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 sports ball on the right of a baseball bat, front view\",\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"
}
] |
0005320 | [
"0005320_00.jpg",
"0005320_01.jpg",
"0005320_02.jpg",
"0005320_03.jpg",
"0005320_04.jpg",
"0005320_05.jpg",
"0005320_06.jpg",
"0005320_07.jpg",
"0005320_08.jpg",
"0005320_09.jpg",
"0005320_10.jpg",
"0005320_11.jpg",
"0005320_12.jpg",
"0005320_13.jpg",
"0005320_14.jpg",
"0005320_15.jpg",
"0005320_16.jpg",
"0005320_17.jpg",
"0005320_18.jpg",
"0005320_19.jpg",
"0005320_20.jpg",
"0005320_21.jpg",
"0005320_22.jpg",
"0005320_23.jpg"
] | He always wanted to fulfill his dreams.
Cartoon 3d | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005320.mp4 | 3 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"He always wanted to fulfill his dreams.\nCartoon 3d\",\nall the 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"
}
] |
0005018 | [
"0005018_00.jpg",
"0005018_01.jpg",
"0005018_02.jpg",
"0005018_03.jpg",
"0005018_04.jpg",
"0005018_05.jpg",
"0005018_06.jpg",
"0005018_07.jpg",
"0005018_08.jpg",
"0005018_09.jpg",
"0005018_10.jpg",
"0005018_11.jpg",
"0005018_12.jpg",
"0005018_13.jpg",
"0005018_14.jpg",
"0005018_15.jpg",
"0005018_16.jpg",
"0005018_17.jpg",
"0005018_18.jpg",
"0005018_19.jpg",
"0005018_20.jpg",
"0005018_21.jpg",
"0005018_22.jpg",
"0005018_23.jpg"
] | wet jungle move left to right | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005018.mp4 | 3 | 3 | 1 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"wet jungle move left to right\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2001901 | [
"2001901_00.jpg",
"2001901_01.jpg",
"2001901_02.jpg",
"2001901_03.jpg",
"2001901_04.jpg",
"2001901_05.jpg",
"2001901_06.jpg",
"2001901_07.jpg",
"2001901_08.jpg",
"2001901_09.jpg",
"2001901_10.jpg",
"2001901_11.jpg",
"2001901_12.jpg",
"2001901_13.jpg",
"2001901_14.jpg",
"2001901_15.jpg"
] | Opening shot, Andrew Wiggins walks onto the court. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001901.mp4 | 3 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Opening shot, Andrew Wiggins walks onto the court.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3002842 | [
"3002842_00.jpg",
"3002842_01.jpg",
"3002842_02.jpg",
"3002842_03.jpg",
"3002842_04.jpg",
"3002842_05.jpg",
"3002842_06.jpg",
"3002842_07.jpg",
"3002842_08.jpg",
"3002842_09.jpg",
"3002842_10.jpg",
"3002842_11.jpg",
"3002842_12.jpg",
"3002842_13.jpg",
"3002842_14.jpg",
"3002842_15.jpg"
] | big full moon in the sky, snow white clouds are flying, visible from land | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002842.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 \"big full moon in the sky, snow white clouds are flying, visible from land\",\nall the frames of video are as 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"
}
] |
0004180 | [
"0004180_00.jpg",
"0004180_01.jpg",
"0004180_02.jpg",
"0004180_03.jpg",
"0004180_04.jpg",
"0004180_05.jpg",
"0004180_06.jpg",
"0004180_07.jpg",
"0004180_08.jpg",
"0004180_09.jpg",
"0004180_10.jpg",
"0004180_11.jpg",
"0004180_12.jpg",
"0004180_13.jpg",
"0004180_14.jpg",
"0004180_15.jpg",
"0004180_16.jpg",
"0004180_17.jpg",
"0004180_18.jpg",
"0004180_19.jpg",
"0004180_20.jpg",
"0004180_21.jpg",
"0004180_22.jpg",
"0004180_23.jpg"
] | make a quiz for kids to find apple in multiple objects, make apple glow from the objects | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004180.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 \"make a quiz for kids to find apple in multiple objects, make apple glow from the objects\",\nall the 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"
}
] |
7003735 | [
"7003735_00.jpg",
"7003735_01.jpg",
"7003735_02.jpg",
"7003735_03.jpg",
"7003735_04.jpg",
"7003735_05.jpg",
"7003735_06.jpg",
"7003735_07.jpg"
] | A corgi is chasing a cat in the park | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003735.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 corgi is chasing a cat in the park\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1002489 | [
"1002489_00.jpg",
"1002489_01.jpg",
"1002489_02.jpg",
"1002489_03.jpg",
"1002489_04.jpg",
"1002489_05.jpg",
"1002489_06.jpg",
"1002489_07.jpg",
"1002489_08.jpg",
"1002489_09.jpg",
"1002489_10.jpg",
"1002489_11.jpg",
"1002489_12.jpg",
"1002489_13.jpg",
"1002489_14.jpg",
"1002489_15.jpg"
] | Excited at the prospect of having a friend and learning from the wise lion, Robbie agreed. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002489.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 \"Excited at the prospect of having a friend and learning from the wise lion, Robbie agreed.\",\nall the frames of video are as 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"
}
] |
6002503 | [
"6002503_00.jpg",
"6002503_01.jpg",
"6002503_02.jpg",
"6002503_03.jpg",
"6002503_04.jpg",
"6002503_05.jpg",
"6002503_06.jpg",
"6002503_07.jpg",
"6002503_08.jpg",
"6002503_09.jpg",
"6002503_10.jpg",
"6002503_11.jpg",
"6002503_12.jpg",
"6002503_13.jpg",
"6002503_14.jpg",
"6002503_15.jpg"
] | A video of a Matterport Pro3 scanning with a castle in the background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002503.mp4 | 1 | 2 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A video of a Matterport Pro3 scanning with a castle in the background\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
0003328 | [
"0003328_00.jpg",
"0003328_01.jpg",
"0003328_02.jpg",
"0003328_03.jpg",
"0003328_04.jpg",
"0003328_05.jpg",
"0003328_06.jpg",
"0003328_07.jpg",
"0003328_08.jpg",
"0003328_09.jpg",
"0003328_10.jpg",
"0003328_11.jpg",
"0003328_12.jpg",
"0003328_13.jpg",
"0003328_14.jpg",
"0003328_15.jpg",
"0003328_16.jpg",
"0003328_17.jpg",
"0003328_18.jpg",
"0003328_19.jpg",
"0003328_20.jpg",
"0003328_21.jpg",
"0003328_22.jpg",
"0003328_23.jpg"
] | a cat and a dog | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003328.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 cat and a dog\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
1000478 | [
"1000478_00.jpg",
"1000478_01.jpg",
"1000478_02.jpg",
"1000478_03.jpg",
"1000478_04.jpg",
"1000478_05.jpg",
"1000478_06.jpg",
"1000478_07.jpg",
"1000478_08.jpg",
"1000478_09.jpg",
"1000478_10.jpg",
"1000478_11.jpg",
"1000478_12.jpg",
"1000478_13.jpg",
"1000478_14.jpg",
"1000478_15.jpg"
] | there lived a gladiator named Maximus | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000478.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 \"there lived a gladiator named Maximus\",\nall the frames of video are as 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"
}
] |
3001256 | [
"3001256_00.jpg",
"3001256_01.jpg",
"3001256_02.jpg",
"3001256_03.jpg",
"3001256_04.jpg",
"3001256_05.jpg",
"3001256_06.jpg",
"3001256_07.jpg",
"3001256_08.jpg",
"3001256_09.jpg",
"3001256_10.jpg",
"3001256_11.jpg",
"3001256_12.jpg",
"3001256_13.jpg",
"3001256_14.jpg",
"3001256_15.jpg"
] | The two friends, now older, sitting together in front of the same picturesque village.8k, realistic, colorful, vibrant | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001256.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 \"The two friends, now older, sitting together in front of the same picturesque village.8k, realistic, colorful, vibrant\",\nall the frames of video are as 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"
}
] |
0003752 | [
"0003752_00.jpg",
"0003752_01.jpg",
"0003752_02.jpg",
"0003752_03.jpg",
"0003752_04.jpg",
"0003752_05.jpg",
"0003752_06.jpg",
"0003752_07.jpg",
"0003752_08.jpg",
"0003752_09.jpg",
"0003752_10.jpg",
"0003752_11.jpg",
"0003752_12.jpg",
"0003752_13.jpg",
"0003752_14.jpg",
"0003752_15.jpg",
"0003752_16.jpg",
"0003752_17.jpg",
"0003752_18.jpg",
"0003752_19.jpg",
"0003752_20.jpg",
"0003752_21.jpg",
"0003752_22.jpg",
"0003752_23.jpg"
] | every family member happy to see new born fairy with beautiful wings, perfact sky and light | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003752.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 \"every family member happy to see new born fairy with beautiful wings, perfact sky and light\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0005923 | [
"0005923_00.jpg",
"0005923_01.jpg",
"0005923_02.jpg",
"0005923_03.jpg",
"0005923_04.jpg",
"0005923_05.jpg",
"0005923_06.jpg",
"0005923_07.jpg",
"0005923_08.jpg",
"0005923_09.jpg",
"0005923_10.jpg",
"0005923_11.jpg",
"0005923_12.jpg",
"0005923_13.jpg",
"0005923_14.jpg",
"0005923_15.jpg",
"0005923_16.jpg",
"0005923_17.jpg",
"0005923_18.jpg",
"0005923_19.jpg",
"0005923_20.jpg",
"0005923_21.jpg",
"0005923_22.jpg",
"0005923_23.jpg"
] | A bullet flying at a speed of 1500 kmph | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005923.mp4 | 2 | 2 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A bullet flying at a speed of 1500 kmph\",\nall the 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"
}
] |
0006283 | [
"0006283_00.jpg",
"0006283_01.jpg",
"0006283_02.jpg",
"0006283_03.jpg",
"0006283_04.jpg",
"0006283_05.jpg",
"0006283_06.jpg",
"0006283_07.jpg",
"0006283_08.jpg",
"0006283_09.jpg",
"0006283_10.jpg",
"0006283_11.jpg",
"0006283_12.jpg",
"0006283_13.jpg",
"0006283_14.jpg",
"0006283_15.jpg",
"0006283_16.jpg",
"0006283_17.jpg",
"0006283_18.jpg",
"0006283_19.jpg",
"0006283_20.jpg",
"0006283_21.jpg",
"0006283_22.jpg",
"0006283_23.jpg"
] | Open the window from the room in the morning, the warm sunlight shines over, and the picture has a sense of romance. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006283.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 \"Open the window from the room in the morning, the warm sunlight shines over, and the picture has a sense of romance.\",\nall the 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"
}
] |
7001120 | [
"7001120_00.jpg",
"7001120_01.jpg",
"7001120_02.jpg",
"7001120_03.jpg",
"7001120_04.jpg",
"7001120_05.jpg",
"7001120_06.jpg",
"7001120_07.jpg"
] | :Moon, dear moon, far away, Cooking rice and lentils, | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001120.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 \":Moon, dear moon, far away, Cooking rice and lentils,\",\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"
}
] |
0001011 | [
"0001011_00.jpg",
"0001011_01.jpg",
"0001011_02.jpg",
"0001011_03.jpg",
"0001011_04.jpg",
"0001011_05.jpg",
"0001011_06.jpg",
"0001011_07.jpg",
"0001011_08.jpg",
"0001011_09.jpg",
"0001011_10.jpg",
"0001011_11.jpg",
"0001011_12.jpg",
"0001011_13.jpg",
"0001011_14.jpg",
"0001011_15.jpg",
"0001011_16.jpg",
"0001011_17.jpg",
"0001011_18.jpg",
"0001011_19.jpg",
"0001011_20.jpg",
"0001011_21.jpg",
"0001011_22.jpg",
"0001011_23.jpg"
] | a video from a airport Klagenfurt who takes a Austrian airlines airplane | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001011.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 video from a airport Klagenfurt who takes a Austrian airlines airplane\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
4004429 | [
"4004429_00.jpg",
"4004429_01.jpg",
"4004429_02.jpg",
"4004429_03.jpg",
"4004429_04.jpg",
"4004429_05.jpg",
"4004429_06.jpg",
"4004429_07.jpg",
"4004429_08.jpg",
"4004429_09.jpg",
"4004429_10.jpg",
"4004429_11.jpg",
"4004429_12.jpg",
"4004429_13.jpg",
"4004429_14.jpg",
"4004429_15.jpg"
] | Fairies protecting an emerald magic amulet in a enchanted forest | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004429.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 \"Fairies protecting an emerald magic amulet in a enchanted 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: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
4004318 | [
"4004318_00.jpg",
"4004318_01.jpg",
"4004318_02.jpg",
"4004318_03.jpg",
"4004318_04.jpg",
"4004318_05.jpg",
"4004318_06.jpg",
"4004318_07.jpg",
"4004318_08.jpg",
"4004318_09.jpg",
"4004318_10.jpg",
"4004318_11.jpg",
"4004318_12.jpg",
"4004318_13.jpg",
"4004318_14.jpg",
"4004318_15.jpg"
] | santa claus driving a red cyberpunk vehicle, futuristic, cyberpunk, 8k, highly detailed, hdr | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004318.mp4 | 1 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"santa claus driving a red cyberpunk vehicle, futuristic, cyberpunk, 8k, highly detailed, hdr\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2003590 | [
"2003590_00.jpg",
"2003590_01.jpg",
"2003590_02.jpg",
"2003590_03.jpg",
"2003590_04.jpg",
"2003590_05.jpg",
"2003590_06.jpg",
"2003590_07.jpg",
"2003590_08.jpg",
"2003590_09.jpg",
"2003590_10.jpg",
"2003590_11.jpg",
"2003590_12.jpg",
"2003590_13.jpg",
"2003590_14.jpg",
"2003590_15.jpg"
] | vertical format video. Dark volcanic wasteland. Tall dark solitary tower. Tower is style of Lord of the Rings, tower of Sauron. Flaming eye on top of tower. Tower falls over and crumbles to dust. 5 second duration for video | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003590.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 \"vertical format video. Dark volcanic wasteland. Tall dark solitary tower. Tower is style of Lord of the Rings, tower of Sauron. Flaming eye on top of tower. Tower falls over and crumbles to dust. 5 second duration for video\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
s000546 | [
"s000546_00.jpg",
"s000546_01.jpg",
"s000546_02.jpg",
"s000546_03.jpg",
"s000546_04.jpg",
"s000546_05.jpg",
"s000546_06.jpg",
"s000546_07.jpg",
"s000546_08.jpg",
"s000546_09.jpg",
"s000546_10.jpg",
"s000546_11.jpg",
"s000546_12.jpg",
"s000546_13.jpg",
"s000546_14.jpg",
"s000546_15.jpg",
"s000546_16.jpg",
"s000546_17.jpg",
"s000546_18.jpg",
"s000546_19.jpg",
"s000546_20.jpg",
"s000546_21.jpg",
"s000546_22.jpg",
"s000546_23.jpg"
] | We look down at the cartoon girl as she jumps happily. We see her yellow dress and blonde ponytail hair | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000546.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 \"We look down at the cartoon girl as she jumps happily. We see her yellow dress and blonde ponytail hair\",\nall the 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"
}
] |
1000752 | [
"1000752_00.jpg",
"1000752_01.jpg",
"1000752_02.jpg",
"1000752_03.jpg",
"1000752_04.jpg",
"1000752_05.jpg",
"1000752_06.jpg",
"1000752_07.jpg",
"1000752_08.jpg",
"1000752_09.jpg",
"1000752_10.jpg",
"1000752_11.jpg",
"1000752_12.jpg",
"1000752_13.jpg",
"1000752_14.jpg",
"1000752_15.jpg"
] | timon and puba modern minimal poster | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000752.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 \"timon and puba modern minimal poster\",\nall the frames of video are as 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"
}
] |
7000285 | [
"7000285_00.jpg",
"7000285_01.jpg",
"7000285_02.jpg",
"7000285_03.jpg",
"7000285_04.jpg",
"7000285_05.jpg",
"7000285_06.jpg",
"7000285_07.jpg"
] | a cat small white in park | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000285.mp4 | 2 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a cat small white in park\",\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"
}
] |
6004051 | [
"6004051_00.jpg",
"6004051_01.jpg",
"6004051_02.jpg",
"6004051_03.jpg",
"6004051_04.jpg",
"6004051_05.jpg",
"6004051_06.jpg",
"6004051_07.jpg",
"6004051_08.jpg",
"6004051_09.jpg",
"6004051_10.jpg",
"6004051_11.jpg",
"6004051_12.jpg",
"6004051_13.jpg",
"6004051_14.jpg",
"6004051_15.jpg"
] | man running towards the door, arms out in front of him, panic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004051.mp4 | 2 | 3 | 1 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"man running towards the door, arms out in front of him, panic\",\nall the frames of video are as 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: 1\n"
}
] |
5000190 | [
"5000190_00.jpg",
"5000190_01.jpg",
"5000190_02.jpg",
"5000190_03.jpg",
"5000190_04.jpg",
"5000190_05.jpg",
"5000190_06.jpg",
"5000190_07.jpg",
"5000190_08.jpg",
"5000190_09.jpg",
"5000190_10.jpg",
"5000190_11.jpg",
"5000190_12.jpg",
"5000190_13.jpg",
"5000190_14.jpg",
"5000190_15.jpg"
] | ultra realistic ankylosaur moving, hyper focus, HDRI | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000190.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 \"ultra realistic ankylosaur moving, hyper focus, HDRI\",\nall the frames of video are as 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"
}
] |
7000374 | [
"7000374_00.jpg",
"7000374_01.jpg",
"7000374_02.jpg",
"7000374_03.jpg",
"7000374_04.jpg",
"7000374_05.jpg",
"7000374_06.jpg",
"7000374_07.jpg"
] | at a city Zoomed image of women talking | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000374.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 \"at a city Zoomed image of women talking\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3001401 | [
"3001401_00.jpg",
"3001401_01.jpg",
"3001401_02.jpg",
"3001401_03.jpg",
"3001401_04.jpg",
"3001401_05.jpg",
"3001401_06.jpg",
"3001401_07.jpg",
"3001401_08.jpg",
"3001401_09.jpg",
"3001401_10.jpg",
"3001401_11.jpg",
"3001401_12.jpg",
"3001401_13.jpg",
"3001401_14.jpg",
"3001401_15.jpg"
] | blonde hair and twinkling blue eyes. two girls age 25 was sitting on a bench, fontsides looking a bit sad. youtube short size 9:16 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001401.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 \"blonde hair and twinkling blue eyes. two girls age 25 was sitting on a bench, fontsides looking a bit sad. youtube short size 9:16\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1000153 | [
"1000153_00.jpg",
"1000153_01.jpg",
"1000153_02.jpg",
"1000153_03.jpg",
"1000153_04.jpg",
"1000153_05.jpg",
"1000153_06.jpg",
"1000153_07.jpg",
"1000153_08.jpg",
"1000153_09.jpg",
"1000153_10.jpg",
"1000153_11.jpg",
"1000153_12.jpg",
"1000153_13.jpg",
"1000153_14.jpg",
"1000153_15.jpg"
] | An animation of a robot driving a car with a dog. The car is futuristic. They are talking about food | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000153.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"An animation of a robot driving a car with a dog. The car is futuristic. They are talking about food\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2001789 | [
"2001789_00.jpg",
"2001789_01.jpg",
"2001789_02.jpg",
"2001789_03.jpg",
"2001789_04.jpg",
"2001789_05.jpg",
"2001789_06.jpg",
"2001789_07.jpg",
"2001789_08.jpg",
"2001789_09.jpg",
"2001789_10.jpg",
"2001789_11.jpg",
"2001789_12.jpg",
"2001789_13.jpg",
"2001789_14.jpg",
"2001789_15.jpg"
] | Illustrate an enraged Kansa reacting with anger to the prophecy, perhaps tearing scrolls or smashing objects. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001789.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 \"Illustrate an enraged Kansa reacting with anger to the prophecy, perhaps tearing scrolls or smashing objects.\",\nall the frames of video are as 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"
}
] |
0002813 | [
"0002813_00.jpg",
"0002813_01.jpg",
"0002813_02.jpg",
"0002813_03.jpg",
"0002813_04.jpg",
"0002813_05.jpg",
"0002813_06.jpg",
"0002813_07.jpg",
"0002813_08.jpg",
"0002813_09.jpg",
"0002813_10.jpg",
"0002813_11.jpg",
"0002813_12.jpg",
"0002813_13.jpg",
"0002813_14.jpg",
"0002813_15.jpg",
"0002813_16.jpg",
"0002813_17.jpg",
"0002813_18.jpg",
"0002813_19.jpg",
"0002813_20.jpg",
"0002813_21.jpg",
"0002813_22.jpg",
"0002813_23.jpg"
] | An ancient Chinese ancestor is rubbing a tree branch between both hands to drill a hole into a wooden stake. As the branch rotates, it produces smoke. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002813.mp4 | 2 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"An ancient Chinese ancestor is rubbing a tree branch between both hands to drill a hole into a wooden stake. As the branch rotates, it produces smoke.\",\nall the 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"
}
] |
3002206 | [
"3002206_00.jpg",
"3002206_01.jpg",
"3002206_02.jpg",
"3002206_03.jpg",
"3002206_04.jpg",
"3002206_05.jpg",
"3002206_06.jpg",
"3002206_07.jpg",
"3002206_08.jpg",
"3002206_09.jpg",
"3002206_10.jpg",
"3002206_11.jpg",
"3002206_12.jpg",
"3002206_13.jpg",
"3002206_14.jpg",
"3002206_15.jpg"
] | tom cruise and tom and yorkshire terrier | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002206.mp4 | 3 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"tom cruise and tom and yorkshire terrier\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2001408 | [
"2001408_00.jpg",
"2001408_01.jpg",
"2001408_02.jpg",
"2001408_03.jpg",
"2001408_04.jpg",
"2001408_05.jpg",
"2001408_06.jpg",
"2001408_07.jpg",
"2001408_08.jpg",
"2001408_09.jpg",
"2001408_10.jpg",
"2001408_11.jpg",
"2001408_12.jpg",
"2001408_13.jpg",
"2001408_14.jpg",
"2001408_15.jpg"
] | Castle in the clouds, sunlight, cinematic, historic. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001408.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 \"Castle in the clouds, sunlight, cinematic, historic.\",\nall the frames of video are as 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"
}
] |
3002221 | [
"3002221_00.jpg",
"3002221_01.jpg",
"3002221_02.jpg",
"3002221_03.jpg",
"3002221_04.jpg",
"3002221_05.jpg",
"3002221_06.jpg",
"3002221_07.jpg",
"3002221_08.jpg",
"3002221_09.jpg",
"3002221_10.jpg",
"3002221_11.jpg",
"3002221_12.jpg",
"3002221_13.jpg",
"3002221_14.jpg",
"3002221_15.jpg"
] | A 2004 Footage With A 46 Year Old Man | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002221.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 2004 Footage With A 46 Year Old Man\",\nall the frames of video are as 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"
}
] |
6000920 | [
"6000920_00.jpg",
"6000920_01.jpg",
"6000920_02.jpg",
"6000920_03.jpg",
"6000920_04.jpg",
"6000920_05.jpg",
"6000920_06.jpg",
"6000920_07.jpg",
"6000920_08.jpg",
"6000920_09.jpg",
"6000920_10.jpg",
"6000920_11.jpg",
"6000920_12.jpg",
"6000920_13.jpg",
"6000920_14.jpg",
"6000920_15.jpg"
] | scientist running unpleasant biohacking test on woman inside science labratory (landscape) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000920.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 \"scientist running unpleasant biohacking test on woman inside science labratory (landscape)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1005738 | [
"1005738_00.jpg",
"1005738_01.jpg",
"1005738_02.jpg",
"1005738_03.jpg",
"1005738_04.jpg",
"1005738_05.jpg",
"1005738_06.jpg",
"1005738_07.jpg",
"1005738_08.jpg",
"1005738_09.jpg",
"1005738_10.jpg",
"1005738_11.jpg",
"1005738_12.jpg",
"1005738_13.jpg",
"1005738_14.jpg",
"1005738_15.jpg"
] | In the sunset, the train rushes towards the camera quickly | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005738.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 \"In the sunset, the train rushes towards the camera quickly\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0001609 | [
"0001609_00.jpg",
"0001609_01.jpg",
"0001609_02.jpg",
"0001609_03.jpg",
"0001609_04.jpg",
"0001609_05.jpg",
"0001609_06.jpg",
"0001609_07.jpg",
"0001609_08.jpg",
"0001609_09.jpg",
"0001609_10.jpg",
"0001609_11.jpg",
"0001609_12.jpg",
"0001609_13.jpg",
"0001609_14.jpg",
"0001609_15.jpg",
"0001609_16.jpg",
"0001609_17.jpg",
"0001609_18.jpg",
"0001609_19.jpg",
"0001609_20.jpg",
"0001609_21.jpg",
"0001609_22.jpg",
"0001609_23.jpg"
] | sea monster, swims in water, rocks, big eyes, scary | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001609.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 \"sea monster, swims in water, rocks, big eyes, scary\",\nall the 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"
}
] |
0000160 | [
"0000160_00.jpg",
"0000160_01.jpg",
"0000160_02.jpg",
"0000160_03.jpg",
"0000160_04.jpg",
"0000160_05.jpg",
"0000160_06.jpg",
"0000160_07.jpg",
"0000160_08.jpg",
"0000160_09.jpg",
"0000160_10.jpg",
"0000160_11.jpg",
"0000160_12.jpg",
"0000160_13.jpg",
"0000160_14.jpg",
"0000160_15.jpg",
"0000160_16.jpg",
"0000160_17.jpg",
"0000160_18.jpg",
"0000160_19.jpg",
"0000160_20.jpg",
"0000160_21.jpg",
"0000160_22.jpg",
"0000160_23.jpg"
] | A divine book with storyt33ler on the cover | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000160.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 divine book with storyt33ler on the cover\",\nall the 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"
}
] |
s000499 | [
"s000499_00.jpg",
"s000499_01.jpg",
"s000499_02.jpg",
"s000499_03.jpg",
"s000499_04.jpg",
"s000499_05.jpg",
"s000499_06.jpg",
"s000499_07.jpg",
"s000499_08.jpg",
"s000499_09.jpg",
"s000499_10.jpg",
"s000499_11.jpg",
"s000499_12.jpg",
"s000499_13.jpg",
"s000499_14.jpg",
"s000499_15.jpg",
"s000499_16.jpg",
"s000499_17.jpg",
"s000499_18.jpg",
"s000499_19.jpg",
"s000499_20.jpg",
"s000499_21.jpg",
"s000499_22.jpg",
"s000499_23.jpg"
] | The tail measures an impressive 72 million years old, offering a glimpse into the distant past of our planet. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000499.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 \"The tail measures an impressive 72 million years old, offering a glimpse into the distant past of our planet.\",\nall the 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"
}
] |
3005676 | [
"3005676_00.jpg",
"3005676_01.jpg",
"3005676_02.jpg",
"3005676_03.jpg",
"3005676_04.jpg",
"3005676_05.jpg",
"3005676_06.jpg",
"3005676_07.jpg",
"3005676_08.jpg",
"3005676_09.jpg",
"3005676_10.jpg",
"3005676_11.jpg",
"3005676_12.jpg",
"3005676_13.jpg",
"3005676_14.jpg",
"3005676_15.jpg"
] | colombia river george dam destoryed river running free | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005676.mp4 | 1 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"colombia river george dam destoryed river running free\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0005204 | [
"0005204_00.jpg",
"0005204_01.jpg",
"0005204_02.jpg",
"0005204_03.jpg",
"0005204_04.jpg",
"0005204_05.jpg",
"0005204_06.jpg",
"0005204_07.jpg",
"0005204_08.jpg",
"0005204_09.jpg",
"0005204_10.jpg",
"0005204_11.jpg",
"0005204_12.jpg",
"0005204_13.jpg",
"0005204_14.jpg",
"0005204_15.jpg",
"0005204_16.jpg",
"0005204_17.jpg",
"0005204_18.jpg",
"0005204_19.jpg",
"0005204_20.jpg",
"0005204_21.jpg",
"0005204_22.jpg",
"0005204_23.jpg"
] | a monkey playing chess in a park. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005204.mp4 | 3 | 3 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a monkey playing chess in a park.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
4000386 | [
"4000386_00.jpg",
"4000386_01.jpg",
"4000386_02.jpg",
"4000386_03.jpg",
"4000386_04.jpg",
"4000386_05.jpg",
"4000386_06.jpg",
"4000386_07.jpg",
"4000386_08.jpg",
"4000386_09.jpg",
"4000386_10.jpg",
"4000386_11.jpg",
"4000386_12.jpg",
"4000386_13.jpg",
"4000386_14.jpg",
"4000386_15.jpg"
] | Create a monkey jumping from a snowy mountain and hanging from a vine hanging from the sky | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000386.mp4 | 3 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Create a monkey jumping from a snowy mountain and hanging from a vine hanging from the sky\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1005545 | [
"1005545_00.jpg",
"1005545_01.jpg",
"1005545_02.jpg",
"1005545_03.jpg",
"1005545_04.jpg",
"1005545_05.jpg",
"1005545_06.jpg",
"1005545_07.jpg",
"1005545_08.jpg",
"1005545_09.jpg",
"1005545_10.jpg",
"1005545_11.jpg",
"1005545_12.jpg",
"1005545_13.jpg",
"1005545_14.jpg",
"1005545_15.jpg"
] | POV go pro shot BMX down a snowy mountain on a ski field | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005545.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 \"POV go pro shot BMX down a snowy mountain on a ski 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: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
7000007 | [
"7000007_00.jpg",
"7000007_01.jpg",
"7000007_02.jpg",
"7000007_03.jpg",
"7000007_04.jpg",
"7000007_05.jpg",
"7000007_06.jpg",
"7000007_07.jpg"
] | a Filipino men walking that dressed barong | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000007.mp4 | 2 | 2 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a Filipino men walking that dressed barong\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
1000444 | [
"1000444_00.jpg",
"1000444_01.jpg",
"1000444_02.jpg",
"1000444_03.jpg",
"1000444_04.jpg",
"1000444_05.jpg",
"1000444_06.jpg",
"1000444_07.jpg",
"1000444_08.jpg",
"1000444_09.jpg",
"1000444_10.jpg",
"1000444_11.jpg",
"1000444_12.jpg",
"1000444_13.jpg",
"1000444_14.jpg",
"1000444_15.jpg"
] | women in pink niqab running up a mountain made of gold coins | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000444.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 \"women in pink niqab running up a mountain made of gold coins\",\nall the frames of video are as 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"
}
] |
6001632 | [
"6001632_00.jpg",
"6001632_01.jpg",
"6001632_02.jpg",
"6001632_03.jpg",
"6001632_04.jpg",
"6001632_05.jpg",
"6001632_06.jpg",
"6001632_07.jpg",
"6001632_08.jpg",
"6001632_09.jpg",
"6001632_10.jpg",
"6001632_11.jpg",
"6001632_12.jpg",
"6001632_13.jpg",
"6001632_14.jpg",
"6001632_15.jpg"
] | A robot happily moves through a spaceship corridor | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001632.mp4 | 3 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A robot happily moves through a spaceship corridor\",\nall the frames of video are as 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"
}
] |
3002790 | [
"3002790_00.jpg",
"3002790_01.jpg",
"3002790_02.jpg",
"3002790_03.jpg",
"3002790_04.jpg",
"3002790_05.jpg",
"3002790_06.jpg",
"3002790_07.jpg",
"3002790_08.jpg",
"3002790_09.jpg",
"3002790_10.jpg",
"3002790_11.jpg",
"3002790_12.jpg",
"3002790_13.jpg",
"3002790_14.jpg",
"3002790_15.jpg"
] | Connection with Nature:
Showcase the wires connecting with elements of nature, such as trees, flowers, and flowing water, symbolizing harmony. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002790.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 \"Connection with Nature:\nShowcase the wires connecting with elements of nature, such as trees, flowers, and flowing water, symbolizing harmony.\",\nall the frames of video are as 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"
}
] |
0000633 | [
"0000633_00.jpg",
"0000633_01.jpg",
"0000633_02.jpg",
"0000633_03.jpg",
"0000633_04.jpg",
"0000633_05.jpg",
"0000633_06.jpg",
"0000633_07.jpg",
"0000633_08.jpg",
"0000633_09.jpg",
"0000633_10.jpg",
"0000633_11.jpg",
"0000633_12.jpg",
"0000633_13.jpg",
"0000633_14.jpg",
"0000633_15.jpg",
"0000633_16.jpg",
"0000633_17.jpg",
"0000633_18.jpg",
"0000633_19.jpg",
"0000633_20.jpg",
"0000633_21.jpg",
"0000633_22.jpg",
"0000633_23.jpg"
] | Is this the real life? Is this just fantasy? | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000633.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 \"Is this the real life? Is this just fantasy?\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0000659 | [
"0000659_00.jpg",
"0000659_01.jpg",
"0000659_02.jpg",
"0000659_03.jpg",
"0000659_04.jpg",
"0000659_05.jpg",
"0000659_06.jpg",
"0000659_07.jpg",
"0000659_08.jpg",
"0000659_09.jpg",
"0000659_10.jpg",
"0000659_11.jpg",
"0000659_12.jpg",
"0000659_13.jpg",
"0000659_14.jpg",
"0000659_15.jpg",
"0000659_16.jpg",
"0000659_17.jpg",
"0000659_18.jpg",
"0000659_19.jpg",
"0000659_20.jpg",
"0000659_21.jpg",
"0000659_22.jpg",
"0000659_23.jpg"
] | a carrot in the forest walking, sunny, 4k, 16:9 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000659.mp4 | 2 | 3 | 1 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a carrot in the forest walking, sunny, 4k, 16:9\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2006226 | [
"2006226_00.jpg",
"2006226_01.jpg",
"2006226_02.jpg",
"2006226_03.jpg",
"2006226_04.jpg",
"2006226_05.jpg",
"2006226_06.jpg",
"2006226_07.jpg",
"2006226_08.jpg",
"2006226_09.jpg",
"2006226_10.jpg",
"2006226_11.jpg",
"2006226_12.jpg",
"2006226_13.jpg",
"2006226_14.jpg",
"2006226_15.jpg"
] | Creature, white wool, high, long beak, winter, mountains | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006226.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 \"Creature, white wool, high, long beak, winter, mountains\",\nall the frames of video are as 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"
}
] |
7002799 | [
"7002799_00.jpg",
"7002799_01.jpg",
"7002799_02.jpg",
"7002799_03.jpg",
"7002799_04.jpg",
"7002799_05.jpg",
"7002799_06.jpg",
"7002799_07.jpg"
] | and these differences create a sort of natural barrier that prevents the waters from mixing. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002799.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 \"and these differences create a sort of natural barrier that prevents the waters from mixing.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
2000826 | [
"2000826_00.jpg",
"2000826_01.jpg",
"2000826_02.jpg",
"2000826_03.jpg",
"2000826_04.jpg",
"2000826_05.jpg",
"2000826_06.jpg",
"2000826_07.jpg",
"2000826_08.jpg",
"2000826_09.jpg",
"2000826_10.jpg",
"2000826_11.jpg",
"2000826_12.jpg",
"2000826_13.jpg",
"2000826_14.jpg",
"2000826_15.jpg"
] | Create a anime image of shree krishana and radha rani in standing on rocks and krishna playig a fluet | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000826.mp4 | 3 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Create a anime image of shree krishana and radha rani in standing on rocks and krishna playig a fluet\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2001177 | [
"2001177_00.jpg",
"2001177_01.jpg",
"2001177_02.jpg",
"2001177_03.jpg",
"2001177_04.jpg",
"2001177_05.jpg",
"2001177_06.jpg",
"2001177_07.jpg",
"2001177_08.jpg",
"2001177_09.jpg",
"2001177_10.jpg",
"2001177_11.jpg",
"2001177_12.jpg",
"2001177_13.jpg",
"2001177_14.jpg",
"2001177_15.jpg"
] | Orange space suits astronaut in a truck on Mars | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001177.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 \"Orange space suits astronaut in a truck on Mars\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3002032 | [
"3002032_00.jpg",
"3002032_01.jpg",
"3002032_02.jpg",
"3002032_03.jpg",
"3002032_04.jpg",
"3002032_05.jpg",
"3002032_06.jpg",
"3002032_07.jpg",
"3002032_08.jpg",
"3002032_09.jpg",
"3002032_10.jpg",
"3002032_11.jpg",
"3002032_12.jpg",
"3002032_13.jpg",
"3002032_14.jpg",
"3002032_15.jpg"
] | a cat as the grinch stealing. A Christmas tree | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002032.mp4 | 3 | 2 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a cat as the grinch stealing. A Christmas tree\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
8003098 | [
"8003098_00.jpg",
"8003098_01.jpg",
"8003098_02.jpg",
"8003098_03.jpg",
"8003098_04.jpg",
"8003098_05.jpg",
"8003098_06.jpg",
"8003098_07.jpg",
"8003098_08.jpg",
"8003098_09.jpg",
"8003098_10.jpg",
"8003098_11.jpg",
"8003098_12.jpg",
"8003098_13.jpg",
"8003098_14.jpg",
"8003098_15.jpg",
"8003098_16.jpg",
"8003098_17.jpg",
"8003098_18.jpg",
"8003098_19.jpg",
"8003098_20.jpg",
"8003098_21.jpg",
"8003098_22.jpg",
"8003098_23.jpg"
] | Once upon a time, in a kingdom far away, there lived a beautiful princess named Aurora | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003098.mp4 | 1 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Once upon a time, in a kingdom far away, there lived a beautiful princess named Aurora\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0001441 | [
"0001441_00.jpg",
"0001441_01.jpg",
"0001441_02.jpg",
"0001441_03.jpg",
"0001441_04.jpg",
"0001441_05.jpg",
"0001441_06.jpg",
"0001441_07.jpg",
"0001441_08.jpg",
"0001441_09.jpg",
"0001441_10.jpg",
"0001441_11.jpg",
"0001441_12.jpg",
"0001441_13.jpg",
"0001441_14.jpg",
"0001441_15.jpg",
"0001441_16.jpg",
"0001441_17.jpg",
"0001441_18.jpg",
"0001441_19.jpg",
"0001441_20.jpg",
"0001441_21.jpg",
"0001441_22.jpg",
"0001441_23.jpg"
] | cabbage falls on the road from the back of a truck | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001441.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 \"cabbage falls on the road from the back of a truck\",\nall the 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: 2\n"
}
] |
6000381 | [
"6000381_00.jpg",
"6000381_01.jpg",
"6000381_02.jpg",
"6000381_03.jpg",
"6000381_04.jpg",
"6000381_05.jpg",
"6000381_06.jpg",
"6000381_07.jpg",
"6000381_08.jpg",
"6000381_09.jpg",
"6000381_10.jpg",
"6000381_11.jpg",
"6000381_12.jpg",
"6000381_13.jpg",
"6000381_14.jpg",
"6000381_15.jpg"
] | guitarist playing on the edge of a cliff | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000381.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 \"guitarist playing on the edge of a cliff\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
8000491 | [
"8000491_00.jpg",
"8000491_01.jpg",
"8000491_02.jpg",
"8000491_03.jpg",
"8000491_04.jpg",
"8000491_05.jpg",
"8000491_06.jpg",
"8000491_07.jpg",
"8000491_08.jpg",
"8000491_09.jpg",
"8000491_10.jpg",
"8000491_11.jpg",
"8000491_12.jpg",
"8000491_13.jpg",
"8000491_14.jpg",
"8000491_15.jpg",
"8000491_16.jpg",
"8000491_17.jpg",
"8000491_18.jpg",
"8000491_19.jpg",
"8000491_20.jpg",
"8000491_21.jpg",
"8000491_22.jpg",
"8000491_23.jpg"
] | beautiful nature with mind blowing lake view for stargazing | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000491.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 \"beautiful nature with mind blowing lake view for stargazing\",\nall the 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"
}
] |
3006356 | [
"3006356_00.jpg",
"3006356_01.jpg",
"3006356_02.jpg",
"3006356_03.jpg",
"3006356_04.jpg",
"3006356_05.jpg",
"3006356_06.jpg",
"3006356_07.jpg",
"3006356_08.jpg",
"3006356_09.jpg",
"3006356_10.jpg",
"3006356_11.jpg",
"3006356_12.jpg",
"3006356_13.jpg",
"3006356_14.jpg",
"3006356_15.jpg"
] | Goku in ssj blue form chasing luffy in gear 5 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006356.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 \"Goku in ssj blue form chasing luffy in gear 5\",\nall the frames of video are as 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"
}
] |
3006052 | [
"3006052_00.jpg",
"3006052_01.jpg",
"3006052_02.jpg",
"3006052_03.jpg",
"3006052_04.jpg",
"3006052_05.jpg",
"3006052_06.jpg",
"3006052_07.jpg",
"3006052_08.jpg",
"3006052_09.jpg",
"3006052_10.jpg",
"3006052_11.jpg",
"3006052_12.jpg",
"3006052_13.jpg",
"3006052_14.jpg",
"3006052_15.jpg"
] | No prompt | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006052.mp4 | 3 | 3 | 1 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"No prompt\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
9000983 | [
"9000983_00.jpg",
"9000983_01.jpg",
"9000983_02.jpg",
"9000983_03.jpg",
"9000983_04.jpg",
"9000983_05.jpg",
"9000983_06.jpg",
"9000983_07.jpg",
"9000983_08.jpg",
"9000983_09.jpg",
"9000983_10.jpg",
"9000983_11.jpg",
"9000983_12.jpg",
"9000983_13.jpg",
"9000983_14.jpg",
"9000983_15.jpg",
"9000983_16.jpg",
"9000983_17.jpg",
"9000983_18.jpg",
"9000983_19.jpg",
"9000983_20.jpg",
"9000983_21.jpg",
"9000983_22.jpg",
"9000983_23.jpg"
] | a fly by of shibuya and neon signs on buildings | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000983.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 fly by of shibuya and neon signs on buildings\",\nall the 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"
}
] |
s000659 | [
"s000659_00.jpg",
"s000659_01.jpg",
"s000659_02.jpg",
"s000659_03.jpg",
"s000659_04.jpg",
"s000659_05.jpg",
"s000659_06.jpg",
"s000659_07.jpg",
"s000659_08.jpg",
"s000659_09.jpg",
"s000659_10.jpg",
"s000659_11.jpg",
"s000659_12.jpg",
"s000659_13.jpg",
"s000659_14.jpg",
"s000659_15.jpg",
"s000659_16.jpg",
"s000659_17.jpg",
"s000659_18.jpg",
"s000659_19.jpg"
] | the hairist person alive cartoon style wild and colorful | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000659.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 \"the hairist person alive cartoon style wild and colorful\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n"
}
] |
4000470 | [
"4000470_00.jpg",
"4000470_01.jpg",
"4000470_02.jpg",
"4000470_03.jpg",
"4000470_04.jpg",
"4000470_05.jpg",
"4000470_06.jpg",
"4000470_07.jpg",
"4000470_08.jpg",
"4000470_09.jpg",
"4000470_10.jpg",
"4000470_11.jpg",
"4000470_12.jpg",
"4000470_13.jpg",
"4000470_14.jpg",
"4000470_15.jpg"
] | An aerial drone shot of a lonely cabin on a snow capped mountain. Cinematic, ultra realistic, shallow focus, 35mm | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000470.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 \"An aerial drone shot of a lonely cabin on a snow capped mountain. Cinematic, ultra realistic, shallow focus, 35mm\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3000047 | [
"3000047_00.jpg",
"3000047_01.jpg",
"3000047_02.jpg",
"3000047_03.jpg",
"3000047_04.jpg",
"3000047_05.jpg",
"3000047_06.jpg",
"3000047_07.jpg",
"3000047_08.jpg",
"3000047_09.jpg",
"3000047_10.jpg",
"3000047_11.jpg",
"3000047_12.jpg",
"3000047_13.jpg",
"3000047_14.jpg",
"3000047_15.jpg"
] | Roronoa Zoro standing up from the ground and turning around with a deep wound on his chest in the style of anime | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000047.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 \"Roronoa Zoro standing up from the ground and turning around with a deep wound on his chest in the style of anime\",\nall the frames of video are as 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"
}
] |
0004884 | [
"0004884_00.jpg",
"0004884_01.jpg",
"0004884_02.jpg",
"0004884_03.jpg",
"0004884_04.jpg",
"0004884_05.jpg",
"0004884_06.jpg",
"0004884_07.jpg",
"0004884_08.jpg",
"0004884_09.jpg",
"0004884_10.jpg",
"0004884_11.jpg",
"0004884_12.jpg",
"0004884_13.jpg",
"0004884_14.jpg",
"0004884_15.jpg",
"0004884_16.jpg",
"0004884_17.jpg",
"0004884_18.jpg",
"0004884_19.jpg",
"0004884_20.jpg",
"0004884_21.jpg",
"0004884_22.jpg",
"0004884_23.jpg"
] | The story of a robot’s life in a cyberpunk setting. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004884.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 \"The story of a robot’s life in a cyberpunk setting.\",\nall the 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: 2\n"
}
] |
3005531 | [
"3005531_00.jpg",
"3005531_01.jpg",
"3005531_02.jpg",
"3005531_03.jpg",
"3005531_04.jpg",
"3005531_05.jpg",
"3005531_06.jpg",
"3005531_07.jpg",
"3005531_08.jpg",
"3005531_09.jpg",
"3005531_10.jpg",
"3005531_11.jpg",
"3005531_12.jpg",
"3005531_13.jpg",
"3005531_14.jpg",
"3005531_15.jpg"
] | What I loved about this book is how Verghese crafted the characters and the story with such detail and emotion. He also used his medical expertise to vividly describe the scenes of illness and surgery. The book was captivating, heartbreaking, and inspiring. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005531.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 \"What I loved about this book is how Verghese crafted the characters and the story with such detail and emotion. He also used his medical expertise to vividly describe the scenes of illness and surgery. The book was captivating, heartbreaking, and inspiring.\",\nall the frames of video are as 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"
}
] |
3001871 | [
"3001871_00.jpg",
"3001871_01.jpg",
"3001871_02.jpg",
"3001871_03.jpg",
"3001871_04.jpg",
"3001871_05.jpg",
"3001871_06.jpg",
"3001871_07.jpg",
"3001871_08.jpg",
"3001871_09.jpg",
"3001871_10.jpg",
"3001871_11.jpg",
"3001871_12.jpg",
"3001871_13.jpg",
"3001871_14.jpg",
"3001871_15.jpg"
] | Gwen Stacy reading a book, with an intense shaking effect | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001871.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 \"Gwen Stacy reading a book, with an intense shaking effect\",\nall the frames of video are as 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"
}
] |
1006243 | [
"1006243_00.jpg",
"1006243_01.jpg",
"1006243_02.jpg",
"1006243_03.jpg",
"1006243_04.jpg",
"1006243_05.jpg",
"1006243_06.jpg",
"1006243_07.jpg",
"1006243_08.jpg",
"1006243_09.jpg",
"1006243_10.jpg",
"1006243_11.jpg",
"1006243_12.jpg",
"1006243_13.jpg",
"1006243_14.jpg",
"1006243_15.jpg"
] | Motion colour drop in water, ink swirling in water, colourful ink in water, abstraction fancy dream cloud of ink | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006243.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 \"Motion colour drop in water, ink swirling in water, colourful ink in water, abstraction fancy dream cloud of ink\",\nall the frames of video are as 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"
}
] |
8000227 | [
"8000227_00.jpg",
"8000227_01.jpg",
"8000227_02.jpg",
"8000227_03.jpg",
"8000227_04.jpg",
"8000227_05.jpg",
"8000227_06.jpg",
"8000227_07.jpg",
"8000227_08.jpg",
"8000227_09.jpg",
"8000227_10.jpg",
"8000227_11.jpg",
"8000227_12.jpg",
"8000227_13.jpg",
"8000227_14.jpg",
"8000227_15.jpg",
"8000227_16.jpg",
"8000227_17.jpg",
"8000227_18.jpg",
"8000227_19.jpg",
"8000227_20.jpg",
"8000227_21.jpg",
"8000227_22.jpg",
"8000227_23.jpg"
] | Gears, clock elements, dials and dynamic swirly lines arrangement suitable as a backdrop in projects on scheduling, temporal and time related processes, deadlines, progress, past, present and future | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000227.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 \"Gears, clock elements, dials and dynamic swirly lines arrangement suitable as a backdrop in projects on scheduling, temporal and time related processes, deadlines, progress, past, present and future\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
4000745 | [
"4000745_00.jpg",
"4000745_01.jpg",
"4000745_02.jpg",
"4000745_03.jpg",
"4000745_04.jpg",
"4000745_05.jpg",
"4000745_06.jpg",
"4000745_07.jpg",
"4000745_08.jpg",
"4000745_09.jpg",
"4000745_10.jpg",
"4000745_11.jpg",
"4000745_12.jpg",
"4000745_13.jpg",
"4000745_14.jpg",
"4000745_15.jpg"
] | Create a professional video in 3D animation with 4K resolution, about the evolution of video games over the years | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000745.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 \"Create a professional video in 3D animation with 4K resolution, about the evolution of video games over the years\",\nall the frames of video are as 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"
}
] |
4003553 | [
"4003553_00.jpg",
"4003553_01.jpg",
"4003553_02.jpg",
"4003553_03.jpg",
"4003553_04.jpg",
"4003553_05.jpg",
"4003553_06.jpg",
"4003553_07.jpg",
"4003553_08.jpg",
"4003553_09.jpg",
"4003553_10.jpg",
"4003553_11.jpg",
"4003553_12.jpg",
"4003553_13.jpg",
"4003553_14.jpg",
"4003553_15.jpg"
] | A mirror in a room is breaking and splattering | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003553.mp4 | 2 | 3 | 1 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A mirror in a room is breaking and splattering\",\nall the frames of video are as 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"
}
] |
1001076 | [
"1001076_00.jpg",
"1001076_01.jpg",
"1001076_02.jpg",
"1001076_03.jpg",
"1001076_04.jpg",
"1001076_05.jpg",
"1001076_06.jpg",
"1001076_07.jpg",
"1001076_08.jpg",
"1001076_09.jpg",
"1001076_10.jpg",
"1001076_11.jpg",
"1001076_12.jpg",
"1001076_13.jpg",
"1001076_14.jpg",
"1001076_15.jpg"
] | A hellcat on highway with an Ferari face to face | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001076.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 hellcat on highway with an Ferari face to 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: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
4000432 | [
"4000432_00.jpg",
"4000432_01.jpg",
"4000432_02.jpg",
"4000432_03.jpg",
"4000432_04.jpg",
"4000432_05.jpg",
"4000432_06.jpg",
"4000432_07.jpg",
"4000432_08.jpg",
"4000432_09.jpg",
"4000432_10.jpg",
"4000432_11.jpg",
"4000432_12.jpg",
"4000432_13.jpg",
"4000432_14.jpg",
"4000432_15.jpg"
] | a man setting on a bench playing a guitar | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000432.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a man setting on a bench playing a guitar\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1003446 | [
"1003446_00.jpg",
"1003446_01.jpg",
"1003446_02.jpg",
"1003446_03.jpg",
"1003446_04.jpg",
"1003446_05.jpg",
"1003446_06.jpg",
"1003446_07.jpg",
"1003446_08.jpg",
"1003446_09.jpg",
"1003446_10.jpg",
"1003446_11.jpg",
"1003446_12.jpg",
"1003446_13.jpg",
"1003446_14.jpg",
"1003446_15.jpg"
] | Croatian football fans celebrating drunk in Ancient Athens fighting | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003446.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 \"Croatian football fans celebrating drunk in Ancient Athens fighting\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2003704 | [
"2003704_00.jpg",
"2003704_01.jpg",
"2003704_02.jpg",
"2003704_03.jpg",
"2003704_04.jpg",
"2003704_05.jpg",
"2003704_06.jpg",
"2003704_07.jpg",
"2003704_08.jpg",
"2003704_09.jpg",
"2003704_10.jpg",
"2003704_11.jpg",
"2003704_12.jpg",
"2003704_13.jpg",
"2003704_14.jpg",
"2003704_15.jpg"
] | turtles traverse the boundless depths of the ocean, their shells serve as both protection and identity, marking them as unique creatures of the sea | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003704.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 \"turtles traverse the boundless depths of the ocean, their shells serve as both protection and identity, marking them as unique creatures of the sea\",\nall the frames of video are as 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"
}
] |
3001489 | [
"3001489_00.jpg",
"3001489_01.jpg",
"3001489_02.jpg",
"3001489_03.jpg",
"3001489_04.jpg",
"3001489_05.jpg",
"3001489_06.jpg",
"3001489_07.jpg",
"3001489_08.jpg",
"3001489_09.jpg",
"3001489_10.jpg",
"3001489_11.jpg",
"3001489_12.jpg",
"3001489_13.jpg",
"3001489_14.jpg",
"3001489_15.jpg"
] | preppy blue shirted, khaki pants wearing AI robots | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001489.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 \"preppy blue shirted, khaki pants wearing AI robots\",\nall the frames of video are as 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"
}
] |
6002242 | [
"6002242_00.jpg",
"6002242_01.jpg",
"6002242_02.jpg",
"6002242_03.jpg",
"6002242_04.jpg",
"6002242_05.jpg",
"6002242_06.jpg",
"6002242_07.jpg",
"6002242_08.jpg",
"6002242_09.jpg",
"6002242_10.jpg",
"6002242_11.jpg",
"6002242_12.jpg",
"6002242_13.jpg",
"6002242_14.jpg",
"6002242_15.jpg"
] | ugly fish inside dark murky water filled with tree branches VHS footage real, fever dream | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002242.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 \"ugly fish inside dark murky water filled with tree branches VHS footage real, fever dream\",\nall the frames of video are as 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"
}
] |
4001635 | [
"4001635_00.jpg",
"4001635_01.jpg",
"4001635_02.jpg",
"4001635_03.jpg",
"4001635_04.jpg",
"4001635_05.jpg",
"4001635_06.jpg",
"4001635_07.jpg",
"4001635_08.jpg",
"4001635_09.jpg",
"4001635_10.jpg",
"4001635_11.jpg",
"4001635_12.jpg",
"4001635_13.jpg",
"4001635_14.jpg",
"4001635_15.jpg"
] | A cosmic panorama featuring a black hole at the center, surrounded by the faint glow of dying stars and distant galaxies, all set against the backdrop of an inky black void Message: W 3 O L A B S (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001635.mp4 | 3 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A cosmic panorama featuring a black hole at the center, surrounded by the faint glow of dying stars and distant galaxies, all set against the backdrop of an inky black void Message: W 3 O L A B S (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6001288 | [
"6001288_00.jpg",
"6001288_01.jpg",
"6001288_02.jpg",
"6001288_03.jpg",
"6001288_04.jpg",
"6001288_05.jpg",
"6001288_06.jpg",
"6001288_07.jpg",
"6001288_08.jpg",
"6001288_09.jpg",
"6001288_10.jpg",
"6001288_11.jpg",
"6001288_12.jpg",
"6001288_13.jpg",
"6001288_14.jpg",
"6001288_15.jpg"
] | Bright morning sun in the open window through the curtains. Abstract white waving curtain in white bedroom apartment. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001288.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 \"Bright morning sun in the open window through the curtains. Abstract white waving curtain in white bedroom apartment.\",\nall the frames of video are as 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"
}
] |
3003747 | [
"3003747_00.jpg",
"3003747_01.jpg",
"3003747_02.jpg",
"3003747_03.jpg",
"3003747_04.jpg",
"3003747_05.jpg",
"3003747_06.jpg",
"3003747_07.jpg",
"3003747_08.jpg",
"3003747_09.jpg",
"3003747_10.jpg",
"3003747_11.jpg",
"3003747_12.jpg",
"3003747_13.jpg",
"3003747_14.jpg",
"3003747_15.jpg"
] | Black cat on the beach. 4k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3003747.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 \"Black cat on the beach. 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: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
9000424 | [
"9000424_00.jpg",
"9000424_01.jpg",
"9000424_02.jpg",
"9000424_03.jpg",
"9000424_04.jpg",
"9000424_05.jpg",
"9000424_06.jpg",
"9000424_07.jpg",
"9000424_08.jpg",
"9000424_09.jpg",
"9000424_10.jpg",
"9000424_11.jpg",
"9000424_12.jpg",
"9000424_13.jpg",
"9000424_14.jpg",
"9000424_15.jpg",
"9000424_16.jpg",
"9000424_17.jpg",
"9000424_18.jpg",
"9000424_19.jpg",
"9000424_20.jpg",
"9000424_21.jpg",
"9000424_22.jpg",
"9000424_23.jpg"
] | close up shot of earth from space in 4k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000424.mp4 | 3 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"close up shot of earth from space 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: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
s000765 | [
"s000765_00.jpg",
"s000765_01.jpg",
"s000765_02.jpg",
"s000765_03.jpg",
"s000765_04.jpg",
"s000765_05.jpg",
"s000765_06.jpg",
"s000765_07.jpg",
"s000765_08.jpg",
"s000765_09.jpg",
"s000765_10.jpg",
"s000765_11.jpg",
"s000765_12.jpg",
"s000765_13.jpg",
"s000765_14.jpg",
"s000765_15.jpg",
"s000765_16.jpg",
"s000765_17.jpg",
"s000765_18.jpg",
"s000765_19.jpg",
"s000765_20.jpg",
"s000765_21.jpg",
"s000765_22.jpg",
"s000765_23.jpg"
] | the theater of my dreams with a golden curtain | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000765.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 \"the theater of my dreams with a golden curtain\",\nall the 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"
}
] |
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