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
|
---|---|---|---|---|---|---|---|---|---|
0002255 | [
"0002255_00.jpg",
"0002255_01.jpg",
"0002255_02.jpg",
"0002255_03.jpg",
"0002255_04.jpg",
"0002255_05.jpg",
"0002255_06.jpg",
"0002255_07.jpg",
"0002255_08.jpg",
"0002255_09.jpg",
"0002255_10.jpg",
"0002255_11.jpg",
"0002255_12.jpg",
"0002255_13.jpg",
"0002255_14.jpg",
"0002255_15.jpg",
"0002255_16.jpg",
"0002255_17.jpg",
"0002255_18.jpg",
"0002255_19.jpg",
"0002255_20.jpg",
"0002255_21.jpg",
"0002255_22.jpg",
"0002255_23.jpg"
] | a toy robot wearing blue jeans and a white t-shirt taking a pleasant stroll in Antarctica during a beautiful sunset. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002255.mp4 | 2 | 3 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a toy robot wearing blue jeans and a white t-shirt taking a pleasant stroll in Antarctica during a beautiful sunset.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
8000315 | [
"8000315_00.jpg",
"8000315_01.jpg",
"8000315_02.jpg",
"8000315_03.jpg",
"8000315_04.jpg",
"8000315_05.jpg",
"8000315_06.jpg",
"8000315_07.jpg",
"8000315_08.jpg",
"8000315_09.jpg",
"8000315_10.jpg",
"8000315_11.jpg",
"8000315_12.jpg",
"8000315_13.jpg",
"8000315_14.jpg",
"8000315_15.jpg",
"8000315_16.jpg",
"8000315_17.jpg",
"8000315_18.jpg",
"8000315_19.jpg",
"8000315_20.jpg",
"8000315_21.jpg",
"8000315_22.jpg",
"8000315_23.jpg"
] | Vin Diesel meets Paul Walker and shakes his hand and cries | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000315.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 \"Vin Diesel meets Paul Walker and shakes his hand and cries\",\nall the 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"
}
] |
1006418 | [
"1006418_00.jpg",
"1006418_01.jpg",
"1006418_02.jpg",
"1006418_03.jpg",
"1006418_04.jpg",
"1006418_05.jpg",
"1006418_06.jpg",
"1006418_07.jpg",
"1006418_08.jpg",
"1006418_09.jpg",
"1006418_10.jpg",
"1006418_11.jpg",
"1006418_12.jpg",
"1006418_13.jpg",
"1006418_14.jpg",
"1006418_15.jpg"
] | santa claus aging from a child into an elderly man | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006418.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 \"santa claus aging from a child into an elderly 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: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
4000985 | [
"4000985_00.jpg",
"4000985_01.jpg",
"4000985_02.jpg",
"4000985_03.jpg",
"4000985_04.jpg",
"4000985_05.jpg",
"4000985_06.jpg",
"4000985_07.jpg",
"4000985_08.jpg",
"4000985_09.jpg",
"4000985_10.jpg",
"4000985_11.jpg",
"4000985_12.jpg",
"4000985_13.jpg",
"4000985_14.jpg",
"4000985_15.jpg"
] | create ambulance which admit a patient in a hospital | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000985.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 ambulance which admit a patient in a hospital\",\nall the frames of video are as 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"
}
] |
1005060 | [
"1005060_00.jpg",
"1005060_01.jpg",
"1005060_02.jpg",
"1005060_03.jpg",
"1005060_04.jpg",
"1005060_05.jpg",
"1005060_06.jpg",
"1005060_07.jpg",
"1005060_08.jpg",
"1005060_09.jpg",
"1005060_10.jpg",
"1005060_11.jpg",
"1005060_12.jpg",
"1005060_13.jpg",
"1005060_14.jpg",
"1005060_15.jpg"
] | a video of a bright blue river flowing tropical | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005060.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 video of a bright blue river flowing tropical\",\nall the frames of video are as 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"
}
] |
4001733 | [
"4001733_00.jpg",
"4001733_01.jpg",
"4001733_02.jpg",
"4001733_03.jpg",
"4001733_04.jpg",
"4001733_05.jpg",
"4001733_06.jpg",
"4001733_07.jpg",
"4001733_08.jpg",
"4001733_09.jpg",
"4001733_10.jpg",
"4001733_11.jpg",
"4001733_12.jpg",
"4001733_13.jpg",
"4001733_14.jpg",
"4001733_15.jpg"
] | walk through old resturant in the style of five nights at freddys, animatronic animals | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001733.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 \"walk through old resturant in the style of five nights at freddys, animatronic animals\",\nall the frames of video are as 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"
}
] |
0001164 | [
"0001164_00.jpg",
"0001164_01.jpg",
"0001164_02.jpg",
"0001164_03.jpg",
"0001164_04.jpg",
"0001164_05.jpg",
"0001164_06.jpg",
"0001164_07.jpg",
"0001164_08.jpg",
"0001164_09.jpg",
"0001164_10.jpg",
"0001164_11.jpg",
"0001164_12.jpg",
"0001164_13.jpg",
"0001164_14.jpg",
"0001164_15.jpg",
"0001164_16.jpg",
"0001164_17.jpg",
"0001164_18.jpg",
"0001164_19.jpg",
"0001164_20.jpg",
"0001164_21.jpg",
"0001164_22.jpg",
"0001164_23.jpg"
] | Explain the significance of facing the Qibla direction when burying certain individuals. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001164.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 \"Explain the significance of facing the Qibla direction when burying certain individuals.\",\nall the 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"
}
] |
4004805 | [
"4004805_00.jpg",
"4004805_01.jpg",
"4004805_02.jpg",
"4004805_03.jpg",
"4004805_04.jpg",
"4004805_05.jpg",
"4004805_06.jpg",
"4004805_07.jpg",
"4004805_08.jpg",
"4004805_09.jpg",
"4004805_10.jpg",
"4004805_11.jpg",
"4004805_12.jpg",
"4004805_13.jpg",
"4004805_14.jpg",
"4004805_15.jpg"
] | hyper realistic video of man walking in the streets of Varanasi | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004805.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 \"hyper realistic video of man walking in the streets of Varanasi\",\nall the frames of video are as 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"
}
] |
8003959 | [
"8003959_00.jpg",
"8003959_01.jpg",
"8003959_02.jpg",
"8003959_03.jpg",
"8003959_04.jpg",
"8003959_05.jpg",
"8003959_06.jpg",
"8003959_07.jpg",
"8003959_08.jpg",
"8003959_09.jpg",
"8003959_10.jpg",
"8003959_11.jpg",
"8003959_12.jpg",
"8003959_13.jpg",
"8003959_14.jpg",
"8003959_15.jpg",
"8003959_16.jpg",
"8003959_17.jpg",
"8003959_18.jpg",
"8003959_19.jpg",
"8003959_20.jpg",
"8003959_21.jpg",
"8003959_22.jpg",
"8003959_23.jpg"
] | a cute little girl in park | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003959.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 cute little girl in 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: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0005635 | [
"0005635_00.jpg",
"0005635_01.jpg",
"0005635_02.jpg",
"0005635_03.jpg",
"0005635_04.jpg",
"0005635_05.jpg",
"0005635_06.jpg",
"0005635_07.jpg",
"0005635_08.jpg",
"0005635_09.jpg",
"0005635_10.jpg",
"0005635_11.jpg",
"0005635_12.jpg",
"0005635_13.jpg",
"0005635_14.jpg",
"0005635_15.jpg",
"0005635_16.jpg",
"0005635_17.jpg",
"0005635_18.jpg",
"0005635_19.jpg",
"0005635_20.jpg",
"0005635_21.jpg",
"0005635_22.jpg",
"0005635_23.jpg"
] | the frog jumps into the soup | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005635.mp4 | 2 | 3 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"the frog jumps into the soup\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
2002052 | [
"2002052_00.jpg",
"2002052_01.jpg",
"2002052_02.jpg",
"2002052_03.jpg",
"2002052_04.jpg",
"2002052_05.jpg",
"2002052_06.jpg",
"2002052_07.jpg",
"2002052_08.jpg",
"2002052_09.jpg",
"2002052_10.jpg",
"2002052_11.jpg",
"2002052_12.jpg",
"2002052_13.jpg",
"2002052_14.jpg",
"2002052_15.jpg"
] | a hot dog | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002052.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 \"a hot dog\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2005991 | [
"2005991_00.jpg",
"2005991_01.jpg",
"2005991_02.jpg",
"2005991_03.jpg",
"2005991_04.jpg",
"2005991_05.jpg",
"2005991_06.jpg",
"2005991_07.jpg",
"2005991_08.jpg",
"2005991_09.jpg",
"2005991_10.jpg",
"2005991_11.jpg",
"2005991_12.jpg",
"2005991_13.jpg",
"2005991_14.jpg",
"2005991_15.jpg"
] | The sunset light outside the window shines on the flowers in the vase, and the flowers blow in the wind. Nordic. artistic. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005991.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 \"The sunset light outside the window shines on the flowers in the vase, and the flowers blow in the wind. Nordic. artistic.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
8000962 | [
"8000962_00.jpg",
"8000962_01.jpg",
"8000962_02.jpg",
"8000962_03.jpg",
"8000962_04.jpg",
"8000962_05.jpg",
"8000962_06.jpg",
"8000962_07.jpg",
"8000962_08.jpg",
"8000962_09.jpg",
"8000962_10.jpg",
"8000962_11.jpg",
"8000962_12.jpg",
"8000962_13.jpg",
"8000962_14.jpg",
"8000962_15.jpg",
"8000962_16.jpg",
"8000962_17.jpg",
"8000962_18.jpg",
"8000962_19.jpg",
"8000962_20.jpg",
"8000962_21.jpg",
"8000962_22.jpg",
"8000962_23.jpg"
] | social avatar her name is ayel . ayel is influencer and activist Message: gender (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000962.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 \"social avatar her name is ayel . ayel is influencer and activist Message: gender (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
8001606 | [
"8001606_00.jpg",
"8001606_01.jpg",
"8001606_02.jpg",
"8001606_03.jpg",
"8001606_04.jpg",
"8001606_05.jpg",
"8001606_06.jpg",
"8001606_07.jpg",
"8001606_08.jpg",
"8001606_09.jpg",
"8001606_10.jpg",
"8001606_11.jpg",
"8001606_12.jpg",
"8001606_13.jpg",
"8001606_14.jpg",
"8001606_15.jpg",
"8001606_16.jpg",
"8001606_17.jpg",
"8001606_18.jpg",
"8001606_19.jpg",
"8001606_20.jpg",
"8001606_21.jpg",
"8001606_22.jpg",
"8001606_23.jpg"
] | A nostalgic rooftop moment in the city, a young couple lying on a blanket, surrounded by fairy lights, the distant hum of the city below, a feeling of intimacy and escape from the bustling world, Digital art, soft pastel colors | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001606.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 nostalgic rooftop moment in the city, a young couple lying on a blanket, surrounded by fairy lights, the distant hum of the city below, a feeling of intimacy and escape from the bustling world, Digital art, soft pastel colors\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
2000458 | [
"2000458_00.jpg",
"2000458_01.jpg",
"2000458_02.jpg",
"2000458_03.jpg",
"2000458_04.jpg",
"2000458_05.jpg",
"2000458_06.jpg",
"2000458_07.jpg",
"2000458_08.jpg",
"2000458_09.jpg",
"2000458_10.jpg",
"2000458_11.jpg",
"2000458_12.jpg",
"2000458_13.jpg",
"2000458_14.jpg",
"2000458_15.jpg"
] | shiva smoking chilluim by the gangas river near Rishikesh | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000458.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 \"shiva smoking chilluim by the gangas river near Rishikesh\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
2002348 | [
"2002348_00.jpg",
"2002348_01.jpg",
"2002348_02.jpg",
"2002348_03.jpg",
"2002348_04.jpg",
"2002348_05.jpg",
"2002348_06.jpg",
"2002348_07.jpg",
"2002348_08.jpg",
"2002348_09.jpg",
"2002348_10.jpg",
"2002348_11.jpg",
"2002348_12.jpg",
"2002348_13.jpg",
"2002348_14.jpg",
"2002348_15.jpg"
] | The ancient Egyptians and population centers appeared, became tribes, and formed civilizations along the Nile River, like a 4K civilization. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002348.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The ancient Egyptians and population centers appeared, became tribes, and formed civilizations along the Nile River, like a 4K civilization.\",\nall the frames of video are as 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"
}
] |
6001304 | [
"6001304_00.jpg",
"6001304_01.jpg",
"6001304_02.jpg",
"6001304_03.jpg",
"6001304_04.jpg",
"6001304_05.jpg",
"6001304_06.jpg",
"6001304_07.jpg",
"6001304_08.jpg",
"6001304_09.jpg",
"6001304_10.jpg",
"6001304_11.jpg",
"6001304_12.jpg",
"6001304_13.jpg",
"6001304_14.jpg",
"6001304_15.jpg"
] | A man is travelling in train throgh the nature to explore new places | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001304.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A man is travelling in train throgh the nature to explore new places\",\nall the frames of video are as 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"
}
] |
3002751 | [
"3002751_00.jpg",
"3002751_01.jpg",
"3002751_02.jpg",
"3002751_03.jpg",
"3002751_04.jpg",
"3002751_05.jpg",
"3002751_06.jpg",
"3002751_07.jpg",
"3002751_08.jpg",
"3002751_09.jpg",
"3002751_10.jpg",
"3002751_11.jpg",
"3002751_12.jpg",
"3002751_13.jpg",
"3002751_14.jpg",
"3002751_15.jpg"
] | 8k cinematic scene, adult boy catching his green colour bus in village | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002751.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 \"8k cinematic scene, adult boy catching his green colour bus in village\",\nall the frames of video are as 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"
}
] |
2004793 | [
"2004793_00.jpg",
"2004793_01.jpg",
"2004793_02.jpg",
"2004793_03.jpg",
"2004793_04.jpg",
"2004793_05.jpg",
"2004793_06.jpg",
"2004793_07.jpg",
"2004793_08.jpg",
"2004793_09.jpg",
"2004793_10.jpg",
"2004793_11.jpg",
"2004793_12.jpg",
"2004793_13.jpg",
"2004793_14.jpg",
"2004793_15.jpg"
] | Blooms and her extraordinary beauty, including her sparkling eyes and blue hair. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004793.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 \"Blooms and her extraordinary beauty, including her sparkling eyes and blue 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> "
},
{
"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"
}
] |
4004273 | [
"4004273_00.jpg",
"4004273_01.jpg",
"4004273_02.jpg",
"4004273_03.jpg",
"4004273_04.jpg",
"4004273_05.jpg",
"4004273_06.jpg",
"4004273_07.jpg",
"4004273_08.jpg",
"4004273_09.jpg",
"4004273_10.jpg",
"4004273_11.jpg",
"4004273_12.jpg",
"4004273_13.jpg",
"4004273_14.jpg",
"4004273_15.jpg"
] | a girl anime with red eyes, cherry blossom petals arond her | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004273.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 girl anime with red eyes, cherry blossom petals arond her\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
5000989 | [
"5000989_00.jpg",
"5000989_01.jpg",
"5000989_02.jpg",
"5000989_03.jpg",
"5000989_04.jpg",
"5000989_05.jpg",
"5000989_06.jpg",
"5000989_07.jpg",
"5000989_08.jpg",
"5000989_09.jpg",
"5000989_10.jpg",
"5000989_11.jpg",
"5000989_12.jpg",
"5000989_13.jpg",
"5000989_14.jpg",
"5000989_15.jpg"
] | see you in next episodeanimated video | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000989.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 \"see you in next episodeanimated 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"
}
] |
4004730 | [
"4004730_00.jpg",
"4004730_01.jpg",
"4004730_02.jpg",
"4004730_03.jpg",
"4004730_04.jpg",
"4004730_05.jpg",
"4004730_06.jpg",
"4004730_07.jpg",
"4004730_08.jpg",
"4004730_09.jpg",
"4004730_10.jpg",
"4004730_11.jpg",
"4004730_12.jpg",
"4004730_13.jpg",
"4004730_14.jpg",
"4004730_15.jpg"
] | make a boat navigating on these sea in slowmotion under this luminous sky that shines | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004730.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 boat navigating on these sea in slowmotion under this luminous sky that shines\",\nall the frames of video are as 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"
}
] |
0001981 | [
"0001981_00.jpg",
"0001981_01.jpg",
"0001981_02.jpg",
"0001981_03.jpg",
"0001981_04.jpg",
"0001981_05.jpg",
"0001981_06.jpg",
"0001981_07.jpg",
"0001981_08.jpg",
"0001981_09.jpg",
"0001981_10.jpg",
"0001981_11.jpg",
"0001981_12.jpg",
"0001981_13.jpg",
"0001981_14.jpg",
"0001981_15.jpg",
"0001981_16.jpg",
"0001981_17.jpg",
"0001981_18.jpg",
"0001981_19.jpg",
"0001981_20.jpg",
"0001981_21.jpg",
"0001981_22.jpg",
"0001981_23.jpg"
] | brown curtain is flying, waving and moving in the dim room | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001981.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 \"brown curtain is flying, waving and moving in the dim room\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
4003251 | [
"4003251_00.jpg",
"4003251_01.jpg",
"4003251_02.jpg",
"4003251_03.jpg",
"4003251_04.jpg",
"4003251_05.jpg",
"4003251_06.jpg",
"4003251_07.jpg",
"4003251_08.jpg",
"4003251_09.jpg",
"4003251_10.jpg",
"4003251_11.jpg",
"4003251_12.jpg",
"4003251_13.jpg",
"4003251_14.jpg",
"4003251_15.jpg"
] | beethoven playing computer keyboards at a laser light rock concert on planet jupiter | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003251.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 \"beethoven playing computer keyboards at a laser light rock concert on planet jupiter\",\nall the frames of video are as 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"
}
] |
0002244 | [
"0002244_00.jpg",
"0002244_01.jpg",
"0002244_02.jpg",
"0002244_03.jpg",
"0002244_04.jpg",
"0002244_05.jpg",
"0002244_06.jpg",
"0002244_07.jpg",
"0002244_08.jpg",
"0002244_09.jpg",
"0002244_10.jpg",
"0002244_11.jpg",
"0002244_12.jpg",
"0002244_13.jpg",
"0002244_14.jpg",
"0002244_15.jpg",
"0002244_16.jpg",
"0002244_17.jpg",
"0002244_18.jpg",
"0002244_19.jpg",
"0002244_20.jpg",
"0002244_21.jpg",
"0002244_22.jpg",
"0002244_23.jpg"
] | Army Hellecopter in the sky flying past | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002244.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 \"Army Hellecopter in the sky flying past\",\nall the 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"
}
] |
8002095 | [
"8002095_00.jpg",
"8002095_01.jpg",
"8002095_02.jpg",
"8002095_03.jpg",
"8002095_04.jpg",
"8002095_05.jpg",
"8002095_06.jpg",
"8002095_07.jpg",
"8002095_08.jpg",
"8002095_09.jpg",
"8002095_10.jpg",
"8002095_11.jpg",
"8002095_12.jpg",
"8002095_13.jpg",
"8002095_14.jpg",
"8002095_15.jpg",
"8002095_16.jpg",
"8002095_17.jpg",
"8002095_18.jpg",
"8002095_19.jpg",
"8002095_20.jpg",
"8002095_21.jpg",
"8002095_22.jpg",
"8002095_23.jpg"
] | Mercedes drives through the streets of Dubai with a lot of money | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002095.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 \"Mercedes drives through the streets of Dubai with a lot of money\",\nall the 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"
}
] |
1006495 | [
"1006495_00.jpg",
"1006495_01.jpg",
"1006495_02.jpg",
"1006495_03.jpg",
"1006495_04.jpg",
"1006495_05.jpg",
"1006495_06.jpg",
"1006495_07.jpg",
"1006495_08.jpg",
"1006495_09.jpg",
"1006495_10.jpg",
"1006495_11.jpg",
"1006495_12.jpg",
"1006495_13.jpg",
"1006495_14.jpg",
"1006495_15.jpg"
] | a cheetah walking in the ghetto, High light reflection, Lens flare | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006495.mp4 | 1 | 1 | 2 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a cheetah walking in the ghetto, High light reflection, Lens flare\",\nall the frames of video are as 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: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
4001548 | [
"4001548_00.jpg",
"4001548_01.jpg",
"4001548_02.jpg",
"4001548_03.jpg",
"4001548_04.jpg",
"4001548_05.jpg",
"4001548_06.jpg",
"4001548_07.jpg",
"4001548_08.jpg",
"4001548_09.jpg",
"4001548_10.jpg",
"4001548_11.jpg",
"4001548_12.jpg",
"4001548_13.jpg",
"4001548_14.jpg",
"4001548_15.jpg"
] | dessert landscape with floating neon trees and mushroom | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001548.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 \"dessert landscape with floating neon trees and mushroom\",\nall the frames of video are as 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"
}
] |
6000936 | [
"6000936_00.jpg",
"6000936_01.jpg",
"6000936_02.jpg",
"6000936_03.jpg",
"6000936_04.jpg",
"6000936_05.jpg",
"6000936_06.jpg",
"6000936_07.jpg",
"6000936_08.jpg",
"6000936_09.jpg",
"6000936_10.jpg",
"6000936_11.jpg",
"6000936_12.jpg",
"6000936_13.jpg",
"6000936_14.jpg",
"6000936_15.jpg"
] | A funny girl cartoon character sleep in the moon ,4k , cartoon ,art, 9:16 ratio. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000936.mp4 | 1 | 3 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A funny girl cartoon character sleep in the moon ,4k , cartoon ,art, 9:16 ratio.\",\nall the frames of video are as 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"
}
] |
4000628 | [
"4000628_00.jpg",
"4000628_01.jpg",
"4000628_02.jpg",
"4000628_03.jpg",
"4000628_04.jpg",
"4000628_05.jpg",
"4000628_06.jpg",
"4000628_07.jpg",
"4000628_08.jpg",
"4000628_09.jpg",
"4000628_10.jpg",
"4000628_11.jpg",
"4000628_12.jpg",
"4000628_13.jpg",
"4000628_14.jpg",
"4000628_15.jpg"
] | a turntable spinning with a vinyl record, film grain, 4K wide angle vertical | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000628.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 turntable spinning with a vinyl record, film grain, 4K wide angle vertical\",\nall the frames of video are as 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"
}
] |
4001837 | [
"4001837_00.jpg",
"4001837_01.jpg",
"4001837_02.jpg",
"4001837_03.jpg",
"4001837_04.jpg",
"4001837_05.jpg",
"4001837_06.jpg",
"4001837_07.jpg",
"4001837_08.jpg",
"4001837_09.jpg",
"4001837_10.jpg",
"4001837_11.jpg",
"4001837_12.jpg",
"4001837_13.jpg",
"4001837_14.jpg",
"4001837_15.jpg"
] | Creation video: night, Moscow city, great plan label at Favor flux | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001837.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 \"Creation video: night, Moscow city, great plan label at Favor flux\",\nall the frames of video are as 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"
}
] |
3002515 | [
"3002515_00.jpg",
"3002515_01.jpg",
"3002515_02.jpg",
"3002515_03.jpg",
"3002515_04.jpg",
"3002515_05.jpg",
"3002515_06.jpg",
"3002515_07.jpg",
"3002515_08.jpg",
"3002515_09.jpg",
"3002515_10.jpg",
"3002515_11.jpg",
"3002515_12.jpg",
"3002515_13.jpg",
"3002515_14.jpg",
"3002515_15.jpg"
] | a robot teaching how to reppair something to a kid | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002515.mp4 | 3 | 2 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a robot teaching how to reppair something to a kid\",\nall the frames of video are as 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"
}
] |
4001079 | [
"4001079_00.jpg",
"4001079_01.jpg",
"4001079_02.jpg",
"4001079_03.jpg",
"4001079_04.jpg",
"4001079_05.jpg",
"4001079_06.jpg",
"4001079_07.jpg",
"4001079_08.jpg",
"4001079_09.jpg",
"4001079_10.jpg",
"4001079_11.jpg",
"4001079_12.jpg",
"4001079_13.jpg",
"4001079_14.jpg",
"4001079_15.jpg"
] | Edgar Allen Poe as a used car salesman | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001079.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 \"Edgar Allen Poe as a used car salesman\",\nall the frames of video are as 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"
}
] |
6000898 | [
"6000898_00.jpg",
"6000898_01.jpg",
"6000898_02.jpg",
"6000898_03.jpg",
"6000898_04.jpg",
"6000898_05.jpg",
"6000898_06.jpg",
"6000898_07.jpg",
"6000898_08.jpg",
"6000898_09.jpg",
"6000898_10.jpg",
"6000898_11.jpg",
"6000898_12.jpg",
"6000898_13.jpg",
"6000898_14.jpg",
"6000898_15.jpg"
] | 3d man with big eyes and smile holding a vacuum cleaner, open house door, saleman, 3d animation | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000898.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 \"3d man with big eyes and smile holding a vacuum cleaner, open house door, saleman, 3d animation\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0004418 | [
"0004418_00.jpg",
"0004418_01.jpg",
"0004418_02.jpg",
"0004418_03.jpg",
"0004418_04.jpg",
"0004418_05.jpg",
"0004418_06.jpg",
"0004418_07.jpg",
"0004418_08.jpg",
"0004418_09.jpg",
"0004418_10.jpg",
"0004418_11.jpg",
"0004418_12.jpg",
"0004418_13.jpg",
"0004418_14.jpg",
"0004418_15.jpg",
"0004418_16.jpg",
"0004418_17.jpg",
"0004418_18.jpg",
"0004418_19.jpg",
"0004418_20.jpg",
"0004418_21.jpg",
"0004418_22.jpg",
"0004418_23.jpg"
] | abandonded music store, destroyed guitars on ground, gust of wind rustles things, flashes of red and green lighting from window outside | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004418.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 \"abandonded music store, destroyed guitars on ground, gust of wind rustles things, flashes of red and green lighting from window outside\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2006732 | [
"2006732_00.jpg",
"2006732_01.jpg",
"2006732_02.jpg",
"2006732_03.jpg",
"2006732_04.jpg",
"2006732_05.jpg",
"2006732_06.jpg",
"2006732_07.jpg",
"2006732_08.jpg",
"2006732_09.jpg",
"2006732_10.jpg",
"2006732_11.jpg",
"2006732_12.jpg",
"2006732_13.jpg",
"2006732_14.jpg",
"2006732_15.jpg"
] | Mermaids and fishermen fighting at sea | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006732.mp4 | 2 | 2 | 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 \"Mermaids and fishermen fighting at 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: 2\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0001584 | [
"0001584_00.jpg",
"0001584_01.jpg",
"0001584_02.jpg",
"0001584_03.jpg",
"0001584_04.jpg",
"0001584_05.jpg",
"0001584_06.jpg",
"0001584_07.jpg",
"0001584_08.jpg",
"0001584_09.jpg",
"0001584_10.jpg",
"0001584_11.jpg",
"0001584_12.jpg",
"0001584_13.jpg",
"0001584_14.jpg",
"0001584_15.jpg",
"0001584_16.jpg",
"0001584_17.jpg",
"0001584_18.jpg",
"0001584_19.jpg",
"0001584_20.jpg",
"0001584_21.jpg",
"0001584_22.jpg",
"0001584_23.jpg"
] | game of thrones if it had a good ending | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001584.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 \"game of thrones if it had a good ending\",\nall the 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"
}
] |
2000210 | [
"2000210_00.jpg",
"2000210_01.jpg",
"2000210_02.jpg",
"2000210_03.jpg",
"2000210_04.jpg",
"2000210_05.jpg",
"2000210_06.jpg",
"2000210_07.jpg",
"2000210_08.jpg",
"2000210_09.jpg",
"2000210_10.jpg",
"2000210_11.jpg",
"2000210_12.jpg",
"2000210_13.jpg",
"2000210_14.jpg",
"2000210_15.jpg"
] | Chinese dragon element themed courtyard landscape. Modern art sculpture, chess fountain, overlapping water, 8K. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000210.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 \"Chinese dragon element themed courtyard landscape. Modern art sculpture, chess fountain, overlapping water, 8K.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3005756 | [
"3005756_00.jpg",
"3005756_01.jpg",
"3005756_02.jpg",
"3005756_03.jpg",
"3005756_04.jpg",
"3005756_05.jpg",
"3005756_06.jpg",
"3005756_07.jpg",
"3005756_08.jpg",
"3005756_09.jpg",
"3005756_10.jpg",
"3005756_11.jpg",
"3005756_12.jpg",
"3005756_13.jpg",
"3005756_14.jpg",
"3005756_15.jpg"
] | rapid movement of liquid with a chrome like texture and reftlections of purple and light blue lights | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005756.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 \"rapid movement of liquid with a chrome like texture and reftlections of purple and light blue lights\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
3000973 | [
"3000973_00.jpg",
"3000973_01.jpg",
"3000973_02.jpg",
"3000973_03.jpg",
"3000973_04.jpg",
"3000973_05.jpg",
"3000973_06.jpg",
"3000973_07.jpg",
"3000973_08.jpg",
"3000973_09.jpg",
"3000973_10.jpg",
"3000973_11.jpg",
"3000973_12.jpg",
"3000973_13.jpg",
"3000973_14.jpg",
"3000973_15.jpg"
] | Her mouth is laughing, her eyes are happy, and the roses are moving in the background. An active little girl is laughing and is very intelligent | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000973.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 \"Her mouth is laughing, her eyes are happy, and the roses are moving in the background. An active little girl is laughing and is very intelligent\",\nall the frames of video are as 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"
}
] |
9000785 | [
"9000785_00.jpg",
"9000785_01.jpg",
"9000785_02.jpg",
"9000785_03.jpg",
"9000785_04.jpg",
"9000785_05.jpg",
"9000785_06.jpg",
"9000785_07.jpg",
"9000785_08.jpg",
"9000785_09.jpg",
"9000785_10.jpg",
"9000785_11.jpg",
"9000785_12.jpg",
"9000785_13.jpg",
"9000785_14.jpg",
"9000785_15.jpg",
"9000785_16.jpg",
"9000785_17.jpg",
"9000785_18.jpg",
"9000785_19.jpg",
"9000785_20.jpg",
"9000785_21.jpg",
"9000785_22.jpg",
"9000785_23.jpg"
] | cowboy chopping a tree with an ax in the forest | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000785.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 \"cowboy chopping a tree with an ax in the forest\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
s000641 | [
"s000641_00.jpg",
"s000641_01.jpg",
"s000641_02.jpg",
"s000641_03.jpg",
"s000641_04.jpg",
"s000641_05.jpg",
"s000641_06.jpg",
"s000641_07.jpg",
"s000641_08.jpg",
"s000641_09.jpg",
"s000641_10.jpg",
"s000641_11.jpg",
"s000641_12.jpg",
"s000641_13.jpg",
"s000641_14.jpg",
"s000641_15.jpg",
"s000641_16.jpg",
"s000641_17.jpg",
"s000641_18.jpg",
"s000641_19.jpg",
"s000641_20.jpg",
"s000641_21.jpg",
"s000641_22.jpg",
"s000641_23.jpg"
] | Female model wearing conceptual fashion made from paper, 4k, minimal, catwalk show, haute couture, high fashion, vogue, wide shot | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000641.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 \"Female model wearing conceptual fashion made from paper, 4k, minimal, catwalk show, haute couture, high fashion, vogue, wide shot\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
2001046 | [
"2001046_00.jpg",
"2001046_01.jpg",
"2001046_02.jpg",
"2001046_03.jpg",
"2001046_04.jpg",
"2001046_05.jpg",
"2001046_06.jpg",
"2001046_07.jpg",
"2001046_08.jpg",
"2001046_09.jpg",
"2001046_10.jpg",
"2001046_11.jpg",
"2001046_12.jpg",
"2001046_13.jpg",
"2001046_14.jpg",
"2001046_15.jpg"
] | 4K 1960 HD video Spaceship travels through outer space Surrounded by stars | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001046.mp4 | 3 | 1 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"4K 1960 HD video Spaceship travels through outer space Surrounded by stars\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
9000553 | [
"9000553_00.jpg",
"9000553_01.jpg",
"9000553_02.jpg",
"9000553_03.jpg",
"9000553_04.jpg",
"9000553_05.jpg",
"9000553_06.jpg",
"9000553_07.jpg",
"9000553_08.jpg",
"9000553_09.jpg",
"9000553_10.jpg",
"9000553_11.jpg",
"9000553_12.jpg",
"9000553_13.jpg",
"9000553_14.jpg",
"9000553_15.jpg",
"9000553_16.jpg",
"9000553_17.jpg",
"9000553_18.jpg",
"9000553_19.jpg",
"9000553_20.jpg",
"9000553_21.jpg",
"9000553_22.jpg",
"9000553_23.jpg"
] | A gold prospector is finding big chunk of gold. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000553.mp4 | 2 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A gold prospector is finding big chunk of gold.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
5001750 | [
"5001750_00.jpg",
"5001750_01.jpg",
"5001750_02.jpg",
"5001750_03.jpg",
"5001750_04.jpg",
"5001750_05.jpg",
"5001750_06.jpg",
"5001750_07.jpg",
"5001750_08.jpg",
"5001750_09.jpg",
"5001750_10.jpg",
"5001750_11.jpg",
"5001750_12.jpg",
"5001750_13.jpg",
"5001750_14.jpg",
"5001750_15.jpg"
] | An empty chair at a family dinner table, cinematik shot, 8k, ar 16:9 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001750.mp4 | 2 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"An empty chair at a family dinner table, cinematik shot, 8k, ar 16:9\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1004120 | [
"1004120_00.jpg",
"1004120_01.jpg",
"1004120_02.jpg",
"1004120_03.jpg",
"1004120_04.jpg",
"1004120_05.jpg",
"1004120_06.jpg",
"1004120_07.jpg",
"1004120_08.jpg",
"1004120_09.jpg",
"1004120_10.jpg",
"1004120_11.jpg",
"1004120_12.jpg",
"1004120_13.jpg",
"1004120_14.jpg",
"1004120_15.jpg"
] | make a propose day images with one boy with a rose to propose a girl | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004120.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 \"make a propose day images with one boy with a rose to propose a girl\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
7000496 | [
"7000496_00.jpg",
"7000496_01.jpg",
"7000496_02.jpg",
"7000496_03.jpg",
"7000496_04.jpg",
"7000496_05.jpg",
"7000496_06.jpg",
"7000496_07.jpg"
] | organic machines pumping a heart in a jar | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000496.mp4 | 1 | 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 \"organic machines pumping a heart in a jar\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2002155 | [
"2002155_00.jpg",
"2002155_01.jpg",
"2002155_02.jpg",
"2002155_03.jpg",
"2002155_04.jpg",
"2002155_05.jpg",
"2002155_06.jpg",
"2002155_07.jpg",
"2002155_08.jpg",
"2002155_09.jpg",
"2002155_10.jpg",
"2002155_11.jpg",
"2002155_12.jpg",
"2002155_13.jpg",
"2002155_14.jpg",
"2002155_15.jpg"
] | There is a pure woman in the afternoon after the storm | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002155.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 \"There is a pure woman in the afternoon after the storm\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
5000661 | [
"5000661_00.jpg",
"5000661_01.jpg",
"5000661_02.jpg",
"5000661_03.jpg",
"5000661_04.jpg",
"5000661_05.jpg",
"5000661_06.jpg",
"5000661_07.jpg",
"5000661_08.jpg",
"5000661_09.jpg",
"5000661_10.jpg",
"5000661_11.jpg",
"5000661_12.jpg",
"5000661_13.jpg",
"5000661_14.jpg",
"5000661_15.jpg"
] | a roaring male lion on the top of the cliff while raining | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000661.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 \"a roaring male lion on the top of the cliff while raining\",\nall the frames of video are as 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"
}
] |
4003269 | [
"4003269_00.jpg",
"4003269_01.jpg",
"4003269_02.jpg",
"4003269_03.jpg",
"4003269_04.jpg",
"4003269_05.jpg",
"4003269_06.jpg",
"4003269_07.jpg",
"4003269_08.jpg",
"4003269_09.jpg",
"4003269_10.jpg",
"4003269_11.jpg",
"4003269_12.jpg",
"4003269_13.jpg",
"4003269_14.jpg",
"4003269_15.jpg"
] | Grateful and triumphant, Lily girl and Sam boy returned to their village, bringing with them the rejuvenated crystal ball. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003269.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 \"Grateful and triumphant, Lily girl and Sam boy returned to their village, bringing with them the rejuvenated crystal ball.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
7002938 | [
"7002938_00.jpg",
"7002938_01.jpg",
"7002938_02.jpg",
"7002938_03.jpg",
"7002938_04.jpg",
"7002938_05.jpg",
"7002938_06.jpg",
"7002938_07.jpg"
] | Show the mansion with a shadowy figure watching from a window. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002938.mp4 | 2 | 2 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Show the mansion with a shadowy figure watching from a window.\",\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"
}
] |
0006402 | [
"0006402_00.jpg",
"0006402_01.jpg",
"0006402_02.jpg",
"0006402_03.jpg",
"0006402_04.jpg",
"0006402_05.jpg",
"0006402_06.jpg",
"0006402_07.jpg",
"0006402_08.jpg",
"0006402_09.jpg",
"0006402_10.jpg",
"0006402_11.jpg",
"0006402_12.jpg",
"0006402_13.jpg",
"0006402_14.jpg",
"0006402_15.jpg",
"0006402_16.jpg",
"0006402_17.jpg",
"0006402_18.jpg",
"0006402_19.jpg",
"0006402_20.jpg",
"0006402_21.jpg",
"0006402_22.jpg",
"0006402_23.jpg"
] | make a logo named THE MOVING FILMS in 2d illustration | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006402.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 \"make a logo named THE MOVING FILMS in 2d illustration\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
8000005 | [
"8000005_00.jpg",
"8000005_01.jpg",
"8000005_02.jpg",
"8000005_03.jpg",
"8000005_04.jpg",
"8000005_05.jpg",
"8000005_06.jpg",
"8000005_07.jpg",
"8000005_08.jpg",
"8000005_09.jpg",
"8000005_10.jpg",
"8000005_11.jpg",
"8000005_12.jpg",
"8000005_13.jpg",
"8000005_14.jpg",
"8000005_15.jpg",
"8000005_16.jpg",
"8000005_17.jpg",
"8000005_18.jpg",
"8000005_19.jpg",
"8000005_20.jpg",
"8000005_21.jpg",
"8000005_22.jpg",
"8000005_23.jpg"
] | a hot dog | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000005.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 hot 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: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
s000590 | [
"s000590_00.jpg",
"s000590_01.jpg",
"s000590_02.jpg",
"s000590_03.jpg",
"s000590_04.jpg",
"s000590_05.jpg",
"s000590_06.jpg",
"s000590_07.jpg",
"s000590_08.jpg",
"s000590_09.jpg",
"s000590_10.jpg",
"s000590_11.jpg",
"s000590_12.jpg",
"s000590_13.jpg",
"s000590_14.jpg",
"s000590_15.jpg",
"s000590_16.jpg",
"s000590_17.jpg",
"s000590_18.jpg",
"s000590_19.jpg"
] | a man in a black sweatshirt with a zipper and white inserts on the sweatshirt with green eyes and with ears, the sweatshirt is stretched out and there is a gray body and with languid brown hair, a man of about 19 years old, look at the camera directly at the sky and he goes crazy | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000590.mp4 | 4 | 4 | 4 | 0 | 4 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a man in a black sweatshirt with a zipper and white inserts on the sweatshirt with green eyes and with ears, the sweatshirt is stretched out and there is a gray body and with languid brown hair, a man of about 19 years old, look at the camera directly at the sky and he goes crazy\",\nall the 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"
}
] |
3002928 | [
"3002928_00.jpg",
"3002928_01.jpg",
"3002928_02.jpg",
"3002928_03.jpg",
"3002928_04.jpg",
"3002928_05.jpg",
"3002928_06.jpg",
"3002928_07.jpg",
"3002928_08.jpg",
"3002928_09.jpg",
"3002928_10.jpg",
"3002928_11.jpg",
"3002928_12.jpg",
"3002928_13.jpg",
"3002928_14.jpg",
"3002928_15.jpg"
] | a Maltese puppy bounds through tall grass | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002928.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 \"a Maltese puppy bounds through tall grass\",\nall the frames of video are as 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"
}
] |
6000938 | [
"6000938_00.jpg",
"6000938_01.jpg",
"6000938_02.jpg",
"6000938_03.jpg",
"6000938_04.jpg",
"6000938_05.jpg",
"6000938_06.jpg",
"6000938_07.jpg",
"6000938_08.jpg",
"6000938_09.jpg",
"6000938_10.jpg",
"6000938_11.jpg",
"6000938_12.jpg",
"6000938_13.jpg",
"6000938_14.jpg",
"6000938_15.jpg"
] | queen sitting with lion at himalaya mountain | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000938.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 \"queen sitting with lion at himalaya mountain\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1000921 | [
"1000921_00.jpg",
"1000921_01.jpg",
"1000921_02.jpg",
"1000921_03.jpg",
"1000921_04.jpg",
"1000921_05.jpg",
"1000921_06.jpg",
"1000921_07.jpg",
"1000921_08.jpg",
"1000921_09.jpg",
"1000921_10.jpg",
"1000921_11.jpg",
"1000921_12.jpg",
"1000921_13.jpg",
"1000921_14.jpg",
"1000921_15.jpg"
] | goddess in heaven sing a song | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000921.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 \"goddess in heaven sing a song\",\nall the frames of video are as 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"
}
] |
1005842 | [
"1005842_00.jpg",
"1005842_01.jpg",
"1005842_02.jpg",
"1005842_03.jpg",
"1005842_04.jpg",
"1005842_05.jpg",
"1005842_06.jpg",
"1005842_07.jpg",
"1005842_08.jpg",
"1005842_09.jpg",
"1005842_10.jpg",
"1005842_11.jpg",
"1005842_12.jpg",
"1005842_13.jpg",
"1005842_14.jpg",
"1005842_15.jpg"
] | vines super speed growing over a city | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005842.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 \"vines super speed growing over a city\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2006348 | [
"2006348_00.jpg",
"2006348_01.jpg",
"2006348_02.jpg",
"2006348_03.jpg",
"2006348_04.jpg",
"2006348_05.jpg",
"2006348_06.jpg",
"2006348_07.jpg",
"2006348_08.jpg",
"2006348_09.jpg",
"2006348_10.jpg",
"2006348_11.jpg",
"2006348_12.jpg",
"2006348_13.jpg",
"2006348_14.jpg",
"2006348_15.jpg"
] | a female ghost in a white sari and eyes all white smiles and opens her mouth 9:16 realistic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006348.mp4 | 2 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a female ghost in a white sari and eyes all white smiles and opens her mouth 9:16 realistic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
6001242 | [
"6001242_00.jpg",
"6001242_01.jpg",
"6001242_02.jpg",
"6001242_03.jpg",
"6001242_04.jpg",
"6001242_05.jpg",
"6001242_06.jpg",
"6001242_07.jpg",
"6001242_08.jpg",
"6001242_09.jpg",
"6001242_10.jpg",
"6001242_11.jpg",
"6001242_12.jpg",
"6001242_13.jpg",
"6001242_14.jpg",
"6001242_15.jpg"
] | Interior of a rustic kitchen with exposed wooden beams,fine details,super Wide Angle,no people,interior design,architectural digest feature,Detailed,Ultra Realistic Message: MAMA CEO (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001242.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 \"Interior of a rustic kitchen with exposed wooden beams,fine details,super Wide Angle,no people,interior design,architectural digest feature,Detailed,Ultra Realistic Message: MAMA CEO (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0000155 | [
"0000155_00.jpg",
"0000155_01.jpg",
"0000155_02.jpg",
"0000155_03.jpg",
"0000155_04.jpg",
"0000155_05.jpg",
"0000155_06.jpg",
"0000155_07.jpg",
"0000155_08.jpg",
"0000155_09.jpg",
"0000155_10.jpg",
"0000155_11.jpg",
"0000155_12.jpg",
"0000155_13.jpg",
"0000155_14.jpg",
"0000155_15.jpg",
"0000155_16.jpg",
"0000155_17.jpg",
"0000155_18.jpg",
"0000155_19.jpg",
"0000155_20.jpg",
"0000155_21.jpg",
"0000155_22.jpg",
"0000155_23.jpg"
] | As the townspeople marched towards the Haunted House, their crosses glinted in the moonlight, ready to battle the evil spirits within | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000155.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 \"As the townspeople marched towards the Haunted House, their crosses glinted in the moonlight, ready to battle the evil spirits within\",\nall the 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"
}
] |
4003851 | [
"4003851_00.jpg",
"4003851_01.jpg",
"4003851_02.jpg",
"4003851_03.jpg",
"4003851_04.jpg",
"4003851_05.jpg",
"4003851_06.jpg",
"4003851_07.jpg",
"4003851_08.jpg",
"4003851_09.jpg",
"4003851_10.jpg",
"4003851_11.jpg",
"4003851_12.jpg",
"4003851_13.jpg",
"4003851_14.jpg",
"4003851_15.jpg"
] | alien animals world, fastest running hunting, best beautiful planet, 8k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003851.mp4 | 3 | 1 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"alien animals world, fastest running hunting, best beautiful planet, 8k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
6002891 | [
"6002891_00.jpg",
"6002891_01.jpg",
"6002891_02.jpg",
"6002891_03.jpg",
"6002891_04.jpg",
"6002891_05.jpg",
"6002891_06.jpg",
"6002891_07.jpg",
"6002891_08.jpg",
"6002891_09.jpg",
"6002891_10.jpg",
"6002891_11.jpg",
"6002891_12.jpg",
"6002891_13.jpg",
"6002891_14.jpg",
"6002891_15.jpg"
] | boss lady running to office by seeing her fit watch | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002891.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 \"boss lady running to office by seeing her fit watch\",\nall the frames of video are as 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"
}
] |
1001509 | [
"1001509_00.jpg",
"1001509_01.jpg",
"1001509_02.jpg",
"1001509_03.jpg",
"1001509_04.jpg",
"1001509_05.jpg",
"1001509_06.jpg",
"1001509_07.jpg",
"1001509_08.jpg",
"1001509_09.jpg",
"1001509_10.jpg",
"1001509_11.jpg",
"1001509_12.jpg",
"1001509_13.jpg",
"1001509_14.jpg",
"1001509_15.jpg"
] | Praying hands statue made of white | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001509.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 \"Praying hands statue made of white\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3003280 | [
"3003280_00.jpg",
"3003280_01.jpg",
"3003280_02.jpg",
"3003280_03.jpg",
"3003280_04.jpg",
"3003280_05.jpg",
"3003280_06.jpg",
"3003280_07.jpg",
"3003280_08.jpg",
"3003280_09.jpg",
"3003280_10.jpg",
"3003280_11.jpg",
"3003280_12.jpg",
"3003280_13.jpg",
"3003280_14.jpg",
"3003280_15.jpg"
] | MOTOBIKES, gym Message: JIHADE (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3003280.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 \"MOTOBIKES, gym Message: JIHADE (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
2002018 | [
"2002018_00.jpg",
"2002018_01.jpg",
"2002018_02.jpg",
"2002018_03.jpg",
"2002018_04.jpg",
"2002018_05.jpg",
"2002018_06.jpg",
"2002018_07.jpg",
"2002018_08.jpg",
"2002018_09.jpg",
"2002018_10.jpg",
"2002018_11.jpg",
"2002018_12.jpg",
"2002018_13.jpg",
"2002018_14.jpg",
"2002018_15.jpg"
] | washing machine working full of clothes | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002018.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 \"washing machine working full of clothes\",\nall the frames of video are as 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"
}
] |
8003547 | [
"8003547_00.jpg",
"8003547_01.jpg",
"8003547_02.jpg",
"8003547_03.jpg",
"8003547_04.jpg",
"8003547_05.jpg",
"8003547_06.jpg",
"8003547_07.jpg",
"8003547_08.jpg",
"8003547_09.jpg",
"8003547_10.jpg",
"8003547_11.jpg",
"8003547_12.jpg",
"8003547_13.jpg",
"8003547_14.jpg",
"8003547_15.jpg",
"8003547_16.jpg",
"8003547_17.jpg",
"8003547_18.jpg",
"8003547_19.jpg",
"8003547_20.jpg",
"8003547_21.jpg",
"8003547_22.jpg",
"8003547_23.jpg"
] | Frantic shootout around device counting down. Agents dive firing in slow motion. Villain monologues as fighting continues. Will they make it?! | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003547.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 \"Frantic shootout around device counting down. Agents dive firing in slow motion. Villain monologues as fighting continues. Will they make it?!\",\nall the 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"
}
] |
1000180 | [
"1000180_00.jpg",
"1000180_01.jpg",
"1000180_02.jpg",
"1000180_03.jpg",
"1000180_04.jpg",
"1000180_05.jpg",
"1000180_06.jpg",
"1000180_07.jpg",
"1000180_08.jpg",
"1000180_09.jpg",
"1000180_10.jpg",
"1000180_11.jpg",
"1000180_12.jpg",
"1000180_13.jpg",
"1000180_14.jpg",
"1000180_15.jpg"
] | a photorealistic video of a butterfly that can swim navigating underwater through a beautiful coral reef | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000180.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 photorealistic video of a butterfly that can swim navigating underwater through a beautiful coral reef\",\nall the frames of video are as 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"
}
] |
6000581 | [
"6000581_00.jpg",
"6000581_01.jpg",
"6000581_02.jpg",
"6000581_03.jpg",
"6000581_04.jpg",
"6000581_05.jpg",
"6000581_06.jpg",
"6000581_07.jpg",
"6000581_08.jpg",
"6000581_09.jpg",
"6000581_10.jpg",
"6000581_11.jpg",
"6000581_12.jpg",
"6000581_13.jpg",
"6000581_14.jpg",
"6000581_15.jpg"
] | Illustrate Sunny the sunflower standing tall in the garden, with a bright and sunny expression. a:16:9 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000581.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 Sunny the sunflower standing tall in the garden, with a bright and sunny expression. a:16:9\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0005973 | [
"0005973_00.jpg",
"0005973_01.jpg",
"0005973_02.jpg",
"0005973_03.jpg",
"0005973_04.jpg",
"0005973_05.jpg",
"0005973_06.jpg",
"0005973_07.jpg",
"0005973_08.jpg",
"0005973_09.jpg",
"0005973_10.jpg",
"0005973_11.jpg",
"0005973_12.jpg",
"0005973_13.jpg",
"0005973_14.jpg",
"0005973_15.jpg",
"0005973_16.jpg",
"0005973_17.jpg",
"0005973_18.jpg",
"0005973_19.jpg",
"0005973_20.jpg",
"0005973_21.jpg",
"0005973_22.jpg",
"0005973_23.jpg"
] | medical cannabis plantation on sun set with drum and bass party | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005973.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 \"medical cannabis plantation on sun set with drum and bass party\",\nall the 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"
}
] |
2004815 | [
"2004815_00.jpg",
"2004815_01.jpg",
"2004815_02.jpg",
"2004815_03.jpg",
"2004815_04.jpg",
"2004815_05.jpg",
"2004815_06.jpg",
"2004815_07.jpg",
"2004815_08.jpg",
"2004815_09.jpg",
"2004815_10.jpg",
"2004815_11.jpg",
"2004815_12.jpg",
"2004815_13.jpg",
"2004815_14.jpg",
"2004815_15.jpg"
] | Children playing hockey on the lake | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004815.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 \"Children playing hockey on the lake\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
6000837 | [
"6000837_00.jpg",
"6000837_01.jpg",
"6000837_02.jpg",
"6000837_03.jpg",
"6000837_04.jpg",
"6000837_05.jpg",
"6000837_06.jpg",
"6000837_07.jpg",
"6000837_08.jpg",
"6000837_09.jpg",
"6000837_10.jpg",
"6000837_11.jpg",
"6000837_12.jpg",
"6000837_13.jpg",
"6000837_14.jpg",
"6000837_15.jpg"
] | people dancing at a sci fi festival with cool robots and a space ship in the sky | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000837.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 \"people dancing at a sci fi festival with cool robots and a space ship in the sky\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
7001936 | [
"7001936_00.jpg",
"7001936_01.jpg",
"7001936_02.jpg",
"7001936_03.jpg",
"7001936_04.jpg",
"7001936_05.jpg",
"7001936_06.jpg",
"7001936_07.jpg"
] | Girl in suit washing dishes in the kitchen | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001936.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 \"Girl in suit washing dishes in the kitchen\",\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"
}
] |
8001350 | [
"8001350_00.jpg",
"8001350_01.jpg",
"8001350_02.jpg",
"8001350_03.jpg",
"8001350_04.jpg",
"8001350_05.jpg",
"8001350_06.jpg",
"8001350_07.jpg",
"8001350_08.jpg",
"8001350_09.jpg",
"8001350_10.jpg",
"8001350_11.jpg",
"8001350_12.jpg",
"8001350_13.jpg",
"8001350_14.jpg",
"8001350_15.jpg",
"8001350_16.jpg",
"8001350_17.jpg",
"8001350_18.jpg",
"8001350_19.jpg",
"8001350_20.jpg",
"8001350_21.jpg",
"8001350_22.jpg",
"8001350_23.jpg"
] | The second daughter replied,” Dear Father, I love you as much as all the precious gold and silver in the world and more.” | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001350.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The second daughter replied,” Dear Father, I love you as much as all the precious gold and silver in the world and more.”\",\nall the 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"
}
] |
7003720 | [
"7003720_00.jpg",
"7003720_01.jpg",
"7003720_02.jpg",
"7003720_03.jpg",
"7003720_04.jpg",
"7003720_05.jpg",
"7003720_06.jpg",
"7003720_07.jpg"
] | Clean and transparent sky, clear and bottomless sea, dreamy white clouds, sunset, imaginative space, rich content,tree | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003720.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 \"Clean and transparent sky, clear and bottomless sea, dreamy white clouds, sunset, imaginative space, rich content,tree\",\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"
}
] |
7001534 | [
"7001534_00.jpg",
"7001534_01.jpg",
"7001534_02.jpg",
"7001534_03.jpg",
"7001534_04.jpg",
"7001534_05.jpg",
"7001534_06.jpg",
"7001534_07.jpg"
] | zoom out of astronaut floating in space admiring the earth | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001534.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"zoom out of astronaut floating in space admiring the earth\",\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"
}
] |
7001930 | [
"7001930_00.jpg",
"7001930_01.jpg",
"7001930_02.jpg",
"7001930_03.jpg",
"7001930_04.jpg",
"7001930_05.jpg",
"7001930_06.jpg",
"7001930_07.jpg"
] | LED light therapy mask on grey background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001930.mp4 | 2 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"LED light therapy mask on grey background\",\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"
}
] |
9000936 | [
"9000936_00.jpg",
"9000936_01.jpg",
"9000936_02.jpg",
"9000936_03.jpg",
"9000936_04.jpg",
"9000936_05.jpg",
"9000936_06.jpg",
"9000936_07.jpg",
"9000936_08.jpg",
"9000936_09.jpg",
"9000936_10.jpg",
"9000936_11.jpg",
"9000936_12.jpg",
"9000936_13.jpg",
"9000936_14.jpg",
"9000936_15.jpg",
"9000936_16.jpg",
"9000936_17.jpg",
"9000936_18.jpg",
"9000936_19.jpg",
"9000936_20.jpg",
"9000936_21.jpg",
"9000936_22.jpg",
"9000936_23.jpg"
] | The camera rotates around a large stack of vintage televisions all showing different programs — 1950s sci-fi movies, horror movies, news, static, a 1970s sitcom, etc, set inside a large New York museum gallery. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000936.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The camera rotates around a large stack of vintage televisions all showing different programs — 1950s sci-fi movies, horror movies, news, static, a 1970s sitcom, etc, set inside a large New York museum gallery.\",\nall the 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"
}
] |
9000954 | [
"9000954_00.jpg",
"9000954_01.jpg",
"9000954_02.jpg",
"9000954_03.jpg",
"9000954_04.jpg",
"9000954_05.jpg",
"9000954_06.jpg",
"9000954_07.jpg",
"9000954_08.jpg",
"9000954_09.jpg",
"9000954_10.jpg",
"9000954_11.jpg",
"9000954_12.jpg",
"9000954_13.jpg",
"9000954_14.jpg",
"9000954_15.jpg",
"9000954_16.jpg",
"9000954_17.jpg",
"9000954_18.jpg",
"9000954_19.jpg",
"9000954_20.jpg",
"9000954_21.jpg",
"9000954_22.jpg",
"9000954_23.jpg"
] | ui ux design an health fitness app page in which ai chatbot for personalised recommendations | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000954.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 \"ui ux design an health fitness app page in which ai chatbot for personalised recommendations\",\nall the 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"
}
] |
1003155 | [
"1003155_00.jpg",
"1003155_01.jpg",
"1003155_02.jpg",
"1003155_03.jpg",
"1003155_04.jpg",
"1003155_05.jpg",
"1003155_06.jpg",
"1003155_07.jpg",
"1003155_08.jpg",
"1003155_09.jpg",
"1003155_10.jpg",
"1003155_11.jpg",
"1003155_12.jpg",
"1003155_13.jpg",
"1003155_14.jpg",
"1003155_15.jpg"
] | Create a video that visually illustrates how AI processes vast amounts of data, identifies patterns, and makes predictions or decisions. Show the flow of data, the role of algorithms, and the concept of machine learning in a simple and engaging way. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003155.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Create a video that visually illustrates how AI processes vast amounts of data, identifies patterns, and makes predictions or decisions. Show the flow of data, the role of algorithms, and the concept of machine learning in a simple and engaging way.\",\nall the frames of video are as 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"
}
] |
6001097 | [
"6001097_00.jpg",
"6001097_01.jpg",
"6001097_02.jpg",
"6001097_03.jpg",
"6001097_04.jpg",
"6001097_05.jpg",
"6001097_06.jpg",
"6001097_07.jpg",
"6001097_08.jpg",
"6001097_09.jpg",
"6001097_10.jpg",
"6001097_11.jpg",
"6001097_12.jpg",
"6001097_13.jpg",
"6001097_14.jpg",
"6001097_15.jpg"
] | I want an animation that shows value placing on items | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001097.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 \"I want an animation that shows value placing on items\",\nall the frames of video are as 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"
}
] |
0001621 | [
"0001621_00.jpg",
"0001621_01.jpg",
"0001621_02.jpg",
"0001621_03.jpg",
"0001621_04.jpg",
"0001621_05.jpg",
"0001621_06.jpg",
"0001621_07.jpg",
"0001621_08.jpg",
"0001621_09.jpg",
"0001621_10.jpg",
"0001621_11.jpg",
"0001621_12.jpg",
"0001621_13.jpg",
"0001621_14.jpg",
"0001621_15.jpg",
"0001621_16.jpg",
"0001621_17.jpg",
"0001621_18.jpg",
"0001621_19.jpg",
"0001621_20.jpg",
"0001621_21.jpg",
"0001621_22.jpg",
"0001621_23.jpg"
] | This close-up shot of a chameleon showcases its striking color changing capabilities. The background is blurred, drawing attention to the animal’s striking appearance. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001621.mp4 | 3 | 1 | 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 \"This close-up shot of a chameleon showcases its striking color changing capabilities. The background is blurred, drawing attention to the animal’s striking appearance.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0002127 | [
"0002127_00.jpg",
"0002127_01.jpg",
"0002127_02.jpg",
"0002127_03.jpg",
"0002127_04.jpg",
"0002127_05.jpg",
"0002127_06.jpg",
"0002127_07.jpg",
"0002127_08.jpg",
"0002127_09.jpg",
"0002127_10.jpg",
"0002127_11.jpg",
"0002127_12.jpg",
"0002127_13.jpg",
"0002127_14.jpg",
"0002127_15.jpg",
"0002127_16.jpg",
"0002127_17.jpg",
"0002127_18.jpg",
"0002127_19.jpg",
"0002127_20.jpg",
"0002127_21.jpg",
"0002127_22.jpg",
"0002127_23.jpg"
] | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002127.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 \"\",\nall the 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"
}
] |
|
3001678 | [
"3001678_00.jpg",
"3001678_01.jpg",
"3001678_02.jpg",
"3001678_03.jpg",
"3001678_04.jpg",
"3001678_05.jpg",
"3001678_06.jpg",
"3001678_07.jpg",
"3001678_08.jpg",
"3001678_09.jpg",
"3001678_10.jpg",
"3001678_11.jpg",
"3001678_12.jpg",
"3001678_13.jpg",
"3001678_14.jpg",
"3001678_15.jpg"
] | The image transitions to the boy at the riverbank, carefully selecting the most beautiful pebbles | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001678.mp4 | 3 | 3 | 1 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The image transitions to the boy at the riverbank, carefully selecting the most beautiful pebbles\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
4002053 | [
"4002053_00.jpg",
"4002053_01.jpg",
"4002053_02.jpg",
"4002053_03.jpg",
"4002053_04.jpg",
"4002053_05.jpg",
"4002053_06.jpg",
"4002053_07.jpg",
"4002053_08.jpg",
"4002053_09.jpg",
"4002053_10.jpg",
"4002053_11.jpg",
"4002053_12.jpg",
"4002053_13.jpg",
"4002053_14.jpg",
"4002053_15.jpg"
] | jungle background, natural moves of leaves with wind, camera pan left to right, zoom in | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002053.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 \"jungle background, natural moves of leaves with wind, camera pan left to right, zoom in\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1001044 | [
"1001044_00.jpg",
"1001044_01.jpg",
"1001044_02.jpg",
"1001044_03.jpg",
"1001044_04.jpg",
"1001044_05.jpg",
"1001044_06.jpg",
"1001044_07.jpg",
"1001044_08.jpg",
"1001044_09.jpg",
"1001044_10.jpg",
"1001044_11.jpg",
"1001044_12.jpg",
"1001044_13.jpg",
"1001044_14.jpg",
"1001044_15.jpg"
] | Generate a video of a cruise ship sailing in the sea. The video should have a grey theme, grey sky in background. It must also have a dark theme and look suitable for a motivational video. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001044.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Generate a video of a cruise ship sailing in the sea. The video should have a grey theme, grey sky in background. It must also have a dark theme and look suitable for a motivational 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: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
6001993 | [
"6001993_00.jpg",
"6001993_01.jpg",
"6001993_02.jpg",
"6001993_03.jpg",
"6001993_04.jpg",
"6001993_05.jpg",
"6001993_06.jpg",
"6001993_07.jpg",
"6001993_08.jpg",
"6001993_09.jpg",
"6001993_10.jpg",
"6001993_11.jpg",
"6001993_12.jpg",
"6001993_13.jpg",
"6001993_14.jpg",
"6001993_15.jpg"
] | They encouraged him to always act with kindness and compassion, reminding him that even the smallest acts of love could make a big difference. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001993.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 \"They encouraged him to always act with kindness and compassion, reminding him that even the smallest acts of love could make a big difference.\",\nall the frames of video are as 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"
}
] |
2001668 | [
"2001668_00.jpg",
"2001668_01.jpg",
"2001668_02.jpg",
"2001668_03.jpg",
"2001668_04.jpg",
"2001668_05.jpg",
"2001668_06.jpg",
"2001668_07.jpg",
"2001668_08.jpg",
"2001668_09.jpg",
"2001668_10.jpg",
"2001668_11.jpg",
"2001668_12.jpg",
"2001668_13.jpg",
"2001668_14.jpg",
"2001668_15.jpg"
] | make the water flow as the wind blows through the trees | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001668.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 \"make the water flow as the wind blows through the trees\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
8000758 | [
"8000758_00.jpg",
"8000758_01.jpg",
"8000758_02.jpg",
"8000758_03.jpg",
"8000758_04.jpg",
"8000758_05.jpg",
"8000758_06.jpg",
"8000758_07.jpg",
"8000758_08.jpg",
"8000758_09.jpg",
"8000758_10.jpg",
"8000758_11.jpg",
"8000758_12.jpg",
"8000758_13.jpg",
"8000758_14.jpg",
"8000758_15.jpg",
"8000758_16.jpg",
"8000758_17.jpg",
"8000758_18.jpg",
"8000758_19.jpg",
"8000758_20.jpg",
"8000758_21.jpg",
"8000758_22.jpg",
"8000758_23.jpg"
] | LV spring summer 2025 fashion show | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000758.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 \"LV spring summer 2025 fashion show\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
6002185 | [
"6002185_00.jpg",
"6002185_01.jpg",
"6002185_02.jpg",
"6002185_03.jpg",
"6002185_04.jpg",
"6002185_05.jpg",
"6002185_06.jpg",
"6002185_07.jpg",
"6002185_08.jpg",
"6002185_09.jpg",
"6002185_10.jpg",
"6002185_11.jpg",
"6002185_12.jpg",
"6002185_13.jpg",
"6002185_14.jpg",
"6002185_15.jpg"
] | a logo with candys in a forrest | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002185.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 logo with candys in a forrest\",\nall the frames of video are as 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"
}
] |
0001953 | [
"0001953_00.jpg",
"0001953_01.jpg",
"0001953_02.jpg",
"0001953_03.jpg",
"0001953_04.jpg",
"0001953_05.jpg",
"0001953_06.jpg",
"0001953_07.jpg",
"0001953_08.jpg",
"0001953_09.jpg",
"0001953_10.jpg",
"0001953_11.jpg",
"0001953_12.jpg",
"0001953_13.jpg",
"0001953_14.jpg",
"0001953_15.jpg",
"0001953_16.jpg",
"0001953_17.jpg",
"0001953_18.jpg",
"0001953_19.jpg",
"0001953_20.jpg",
"0001953_21.jpg",
"0001953_22.jpg",
"0001953_23.jpg"
] | smartphone falls out of jeans pocket, zoom is aimed at a falling object | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001953.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 \"smartphone falls out of jeans pocket, zoom is aimed at a falling object\",\nall the 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"
}
] |
1001383 | [
"1001383_00.jpg",
"1001383_01.jpg",
"1001383_02.jpg",
"1001383_03.jpg",
"1001383_04.jpg",
"1001383_05.jpg",
"1001383_06.jpg",
"1001383_07.jpg",
"1001383_08.jpg",
"1001383_09.jpg",
"1001383_10.jpg",
"1001383_11.jpg",
"1001383_12.jpg",
"1001383_13.jpg",
"1001383_14.jpg",
"1001383_15.jpg"
] | the brown hair lady surprise and saying,in forest,animation image. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001383.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"the brown hair lady surprise and saying,in forest,animation image.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0001803 | [
"0001803_00.jpg",
"0001803_01.jpg",
"0001803_02.jpg",
"0001803_03.jpg",
"0001803_04.jpg",
"0001803_05.jpg",
"0001803_06.jpg",
"0001803_07.jpg",
"0001803_08.jpg",
"0001803_09.jpg",
"0001803_10.jpg",
"0001803_11.jpg",
"0001803_12.jpg",
"0001803_13.jpg",
"0001803_14.jpg",
"0001803_15.jpg",
"0001803_16.jpg",
"0001803_17.jpg",
"0001803_18.jpg",
"0001803_19.jpg",
"0001803_20.jpg",
"0001803_21.jpg",
"0001803_22.jpg",
"0001803_23.jpg"
] | dressed in a black suit, white shirt, inside a hotel in New York sitting filming autographs with a woman greeting him | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001803.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 \"dressed in a black suit, white shirt, inside a hotel in New York sitting filming autographs with a woman greeting him\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3002529 | [
"3002529_00.jpg",
"3002529_01.jpg",
"3002529_02.jpg",
"3002529_03.jpg",
"3002529_04.jpg",
"3002529_05.jpg",
"3002529_06.jpg",
"3002529_07.jpg",
"3002529_08.jpg",
"3002529_09.jpg",
"3002529_10.jpg",
"3002529_11.jpg",
"3002529_12.jpg",
"3002529_13.jpg",
"3002529_14.jpg",
"3002529_15.jpg"
] | cinematic scene, a beautiful woman in a wedding dress sitting behind the wheel of a large truck | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002529.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 \"cinematic scene, a beautiful woman in a wedding dress sitting behind the wheel of a large 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> "
},
{
"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"
}
] |
2002914 | [
"2002914_00.jpg",
"2002914_01.jpg",
"2002914_02.jpg",
"2002914_03.jpg",
"2002914_04.jpg",
"2002914_05.jpg",
"2002914_06.jpg",
"2002914_07.jpg",
"2002914_08.jpg",
"2002914_09.jpg",
"2002914_10.jpg",
"2002914_11.jpg",
"2002914_12.jpg",
"2002914_13.jpg",
"2002914_14.jpg",
"2002914_15.jpg"
] | realistic robot war dark cyberpunk atmosphere | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002914.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 robot war dark cyberpunk atmosphere\",\nall the frames of video are as 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"
}
] |
0003200 | [
"0003200_00.jpg",
"0003200_01.jpg",
"0003200_02.jpg",
"0003200_03.jpg",
"0003200_04.jpg",
"0003200_05.jpg",
"0003200_06.jpg",
"0003200_07.jpg",
"0003200_08.jpg",
"0003200_09.jpg",
"0003200_10.jpg",
"0003200_11.jpg",
"0003200_12.jpg",
"0003200_13.jpg",
"0003200_14.jpg",
"0003200_15.jpg",
"0003200_16.jpg",
"0003200_17.jpg",
"0003200_18.jpg",
"0003200_19.jpg",
"0003200_20.jpg",
"0003200_21.jpg",
"0003200_22.jpg",
"0003200_23.jpg"
] | No prompt | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003200.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 \"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> <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"
}
] |
6001326 | [
"6001326_00.jpg",
"6001326_01.jpg",
"6001326_02.jpg",
"6001326_03.jpg",
"6001326_04.jpg",
"6001326_05.jpg",
"6001326_06.jpg",
"6001326_07.jpg",
"6001326_08.jpg",
"6001326_09.jpg",
"6001326_10.jpg",
"6001326_11.jpg",
"6001326_12.jpg",
"6001326_13.jpg",
"6001326_14.jpg",
"6001326_15.jpg"
] | man throws his hat on the ground, concrete background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001326.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 \"man throws his hat on the ground, concrete 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: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
4002842 | [
"4002842_00.jpg",
"4002842_01.jpg",
"4002842_02.jpg",
"4002842_03.jpg",
"4002842_04.jpg",
"4002842_05.jpg",
"4002842_06.jpg",
"4002842_07.jpg",
"4002842_08.jpg",
"4002842_09.jpg",
"4002842_10.jpg",
"4002842_11.jpg",
"4002842_12.jpg",
"4002842_13.jpg",
"4002842_14.jpg",
"4002842_15.jpg"
] | A group of people in a city covering ears from the pain of a loud sound. Anime | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002842.mp4 | 2 | 3 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A group of people in a city covering ears from the pain of a loud sound. 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: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
4000010 | [
"4000010_00.jpg",
"4000010_01.jpg",
"4000010_02.jpg",
"4000010_03.jpg",
"4000010_04.jpg",
"4000010_05.jpg",
"4000010_06.jpg",
"4000010_07.jpg",
"4000010_08.jpg",
"4000010_09.jpg",
"4000010_10.jpg",
"4000010_11.jpg",
"4000010_12.jpg",
"4000010_13.jpg",
"4000010_14.jpg",
"4000010_15.jpg"
] | Kim Kardashian in a sexy outfit | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000010.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 \"Kim Kardashian in a sexy outfit\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2002509 | [
"2002509_00.jpg",
"2002509_01.jpg",
"2002509_02.jpg",
"2002509_03.jpg",
"2002509_04.jpg",
"2002509_05.jpg",
"2002509_06.jpg",
"2002509_07.jpg",
"2002509_08.jpg",
"2002509_09.jpg",
"2002509_10.jpg",
"2002509_11.jpg",
"2002509_12.jpg",
"2002509_13.jpg",
"2002509_14.jpg",
"2002509_15.jpg"
] | will smith in a spiderman costume with one eyebrow raised | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002509.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 \"will smith in a spiderman costume with one eyebrow raised\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
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