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
|
---|---|---|---|---|---|---|---|---|---|
0003727 | [
"0003727_00.jpg",
"0003727_01.jpg",
"0003727_02.jpg",
"0003727_03.jpg",
"0003727_04.jpg",
"0003727_05.jpg",
"0003727_06.jpg",
"0003727_07.jpg",
"0003727_08.jpg",
"0003727_09.jpg",
"0003727_10.jpg",
"0003727_11.jpg",
"0003727_12.jpg",
"0003727_13.jpg",
"0003727_14.jpg",
"0003727_15.jpg",
"0003727_16.jpg",
"0003727_17.jpg",
"0003727_18.jpg",
"0003727_19.jpg",
"0003727_20.jpg",
"0003727_21.jpg",
"0003727_22.jpg",
"0003727_23.jpg"
] | latina woman with margarita in hand | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003727.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 \"latina woman with margarita in hand\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0000918 | [
"0000918_00.jpg",
"0000918_01.jpg",
"0000918_02.jpg",
"0000918_03.jpg",
"0000918_04.jpg",
"0000918_05.jpg",
"0000918_06.jpg",
"0000918_07.jpg",
"0000918_08.jpg",
"0000918_09.jpg",
"0000918_10.jpg",
"0000918_11.jpg",
"0000918_12.jpg",
"0000918_13.jpg",
"0000918_14.jpg",
"0000918_15.jpg",
"0000918_16.jpg",
"0000918_17.jpg",
"0000918_18.jpg",
"0000918_19.jpg",
"0000918_20.jpg",
"0000918_21.jpg",
"0000918_22.jpg",
"0000918_23.jpg"
] | business woman with briefcase and pinstripe suit standing in the city at sunset | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000918.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 \"business woman with briefcase and pinstripe suit standing in the city at 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: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2002790 | [
"2002790_00.jpg",
"2002790_01.jpg",
"2002790_02.jpg",
"2002790_03.jpg",
"2002790_04.jpg",
"2002790_05.jpg",
"2002790_06.jpg",
"2002790_07.jpg",
"2002790_08.jpg",
"2002790_09.jpg",
"2002790_10.jpg",
"2002790_11.jpg",
"2002790_12.jpg",
"2002790_13.jpg",
"2002790_14.jpg",
"2002790_15.jpg"
] | mattress helps young couple with their back pain over time | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002790.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 \"mattress helps young couple with their back pain over time\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
3000600 | [
"3000600_00.jpg",
"3000600_01.jpg",
"3000600_02.jpg",
"3000600_03.jpg",
"3000600_04.jpg",
"3000600_05.jpg",
"3000600_06.jpg",
"3000600_07.jpg",
"3000600_08.jpg",
"3000600_09.jpg",
"3000600_10.jpg",
"3000600_11.jpg",
"3000600_12.jpg",
"3000600_13.jpg",
"3000600_14.jpg",
"3000600_15.jpg"
] | the little mermaid celebrates the bithrday with her fish friends | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000600.mp4 | 2 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"the little mermaid celebrates the bithrday with her fish friends\",\nall the frames of video are as 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"
}
] |
8000123 | [
"8000123_00.jpg",
"8000123_01.jpg",
"8000123_02.jpg",
"8000123_03.jpg",
"8000123_04.jpg",
"8000123_05.jpg",
"8000123_06.jpg",
"8000123_07.jpg",
"8000123_08.jpg",
"8000123_09.jpg",
"8000123_10.jpg",
"8000123_11.jpg",
"8000123_12.jpg",
"8000123_13.jpg",
"8000123_14.jpg",
"8000123_15.jpg",
"8000123_16.jpg",
"8000123_17.jpg",
"8000123_18.jpg",
"8000123_19.jpg",
"8000123_20.jpg",
"8000123_21.jpg",
"8000123_22.jpg",
"8000123_23.jpg"
] | flag divided into three parts of color, yellow, blue, red | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000123.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 \"flag divided into three parts of color, yellow, blue, red\",\nall the 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"
}
] |
0000930 | [
"0000930_00.jpg",
"0000930_01.jpg",
"0000930_02.jpg",
"0000930_03.jpg",
"0000930_04.jpg",
"0000930_05.jpg",
"0000930_06.jpg",
"0000930_07.jpg",
"0000930_08.jpg",
"0000930_09.jpg",
"0000930_10.jpg",
"0000930_11.jpg",
"0000930_12.jpg",
"0000930_13.jpg",
"0000930_14.jpg",
"0000930_15.jpg",
"0000930_16.jpg",
"0000930_17.jpg",
"0000930_18.jpg",
"0000930_19.jpg",
"0000930_20.jpg",
"0000930_21.jpg",
"0000930_22.jpg",
"0000930_23.jpg"
] | The soldiers wore advanced combat equipment and engaged in fierce battles between the Earth army and extraterrestrial soldiers, | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000930.mp4 | 2 | 2 | 2 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The soldiers wore advanced combat equipment and engaged in fierce battles between the Earth army and extraterrestrial soldiers,\",\nall the 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: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3000022 | [
"3000022_00.jpg",
"3000022_01.jpg",
"3000022_02.jpg",
"3000022_03.jpg",
"3000022_04.jpg",
"3000022_05.jpg",
"3000022_06.jpg",
"3000022_07.jpg",
"3000022_08.jpg",
"3000022_09.jpg",
"3000022_10.jpg",
"3000022_11.jpg",
"3000022_12.jpg",
"3000022_13.jpg",
"3000022_14.jpg",
"3000022_15.jpg"
] | visibly pleasing, a mind bending acid trip, neon lights, colorful,magical landscape, tall structure | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000022.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 \"visibly pleasing, a mind bending acid trip, neon lights, colorful,magical landscape, tall structure\",\nall the frames of video are as 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"
}
] |
1003368 | [
"1003368_00.jpg",
"1003368_01.jpg",
"1003368_02.jpg",
"1003368_03.jpg",
"1003368_04.jpg",
"1003368_05.jpg",
"1003368_06.jpg",
"1003368_07.jpg",
"1003368_08.jpg",
"1003368_09.jpg",
"1003368_10.jpg",
"1003368_11.jpg",
"1003368_12.jpg",
"1003368_13.jpg",
"1003368_14.jpg",
"1003368_15.jpg"
] | a skeleton taking a beautiful girl in neon effect | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003368.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 skeleton taking a beautiful girl in neon effect\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1003617 | [
"1003617_00.jpg",
"1003617_01.jpg",
"1003617_02.jpg",
"1003617_03.jpg",
"1003617_04.jpg",
"1003617_05.jpg",
"1003617_06.jpg",
"1003617_07.jpg",
"1003617_08.jpg",
"1003617_09.jpg",
"1003617_10.jpg",
"1003617_11.jpg",
"1003617_12.jpg",
"1003617_13.jpg",
"1003617_14.jpg",
"1003617_15.jpg"
] | “Create an image of a tranquil oasis featuring a hot water pool with bamboo pipe water features within a spa setting.” | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003617.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 an image of a tranquil oasis featuring a hot water pool with bamboo pipe water features within a spa setting.”\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
5001814 | [
"5001814_00.jpg",
"5001814_01.jpg",
"5001814_02.jpg",
"5001814_03.jpg",
"5001814_04.jpg",
"5001814_05.jpg",
"5001814_06.jpg",
"5001814_07.jpg",
"5001814_08.jpg",
"5001814_09.jpg",
"5001814_10.jpg",
"5001814_11.jpg",
"5001814_12.jpg",
"5001814_13.jpg",
"5001814_14.jpg",
"5001814_15.jpg"
] | Battle of Bang Rachan Camp motion2 gs18 fps24 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001814.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 \"Battle of Bang Rachan Camp motion2 gs18 fps24\",\nall the frames of video are as 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"
}
] |
s000842 | [
"s000842_00.jpg",
"s000842_01.jpg",
"s000842_02.jpg",
"s000842_03.jpg",
"s000842_04.jpg",
"s000842_05.jpg",
"s000842_06.jpg",
"s000842_07.jpg",
"s000842_08.jpg",
"s000842_09.jpg",
"s000842_10.jpg",
"s000842_11.jpg",
"s000842_12.jpg",
"s000842_13.jpg",
"s000842_14.jpg",
"s000842_15.jpg",
"s000842_16.jpg",
"s000842_17.jpg",
"s000842_18.jpg",
"s000842_19.jpg"
] | Handsome young man sitting lonely in the gym Exercise alone People come in and ask about the backpack he always uses. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000842.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 \"Handsome young man sitting lonely in the gym Exercise alone People come in and ask about the backpack he always uses.\",\nall the 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"
}
] |
0005321 | [
"0005321_00.jpg",
"0005321_01.jpg",
"0005321_02.jpg",
"0005321_03.jpg",
"0005321_04.jpg",
"0005321_05.jpg",
"0005321_06.jpg",
"0005321_07.jpg",
"0005321_08.jpg",
"0005321_09.jpg",
"0005321_10.jpg",
"0005321_11.jpg",
"0005321_12.jpg",
"0005321_13.jpg",
"0005321_14.jpg",
"0005321_15.jpg",
"0005321_16.jpg",
"0005321_17.jpg",
"0005321_18.jpg",
"0005321_19.jpg",
"0005321_20.jpg",
"0005321_21.jpg",
"0005321_22.jpg",
"0005321_23.jpg"
] | A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. she wears a black leather jacket, a long red dress, and black boots, and carries a black purse. she wears sunglasses and red lipstick. she walks confidently and casually. the street is damp and reflective, creating a mirror effect of the colorful lights. many pedestrians walk about. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005321.mp4 | 3 | 3 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. she wears a black leather jacket, a long red dress, and black boots, and carries a black purse. she wears sunglasses and red lipstick. she walks confidently and casually. the street is damp and reflective, creating a mirror effect of the colorful lights. many pedestrians walk about.\",\nall the 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"
}
] |
6004272 | [
"6004272_00.jpg",
"6004272_01.jpg",
"6004272_02.jpg",
"6004272_03.jpg",
"6004272_04.jpg",
"6004272_05.jpg",
"6004272_06.jpg",
"6004272_07.jpg",
"6004272_08.jpg",
"6004272_09.jpg",
"6004272_10.jpg",
"6004272_11.jpg",
"6004272_12.jpg",
"6004272_13.jpg",
"6004272_14.jpg",
"6004272_15.jpg"
] | please make a video in which two little people (a man and a woman) join hands and walk towards the German flag | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004272.mp4 | 1 | 2 | 2 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"please make a video in which two little people (a man and a woman) join hands and walk towards the German flag\",\nall the frames of video are as 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: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
7002319 | [
"7002319_00.jpg",
"7002319_01.jpg",
"7002319_02.jpg",
"7002319_03.jpg",
"7002319_04.jpg",
"7002319_05.jpg",
"7002319_06.jpg",
"7002319_07.jpg"
] | red dragon in cave breathing fire at a party of 3 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002319.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 \"red dragon in cave breathing fire at a party of 3\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
4002228 | [
"4002228_00.jpg",
"4002228_01.jpg",
"4002228_02.jpg",
"4002228_03.jpg",
"4002228_04.jpg",
"4002228_05.jpg",
"4002228_06.jpg",
"4002228_07.jpg",
"4002228_08.jpg",
"4002228_09.jpg",
"4002228_10.jpg",
"4002228_11.jpg",
"4002228_12.jpg",
"4002228_13.jpg",
"4002228_14.jpg",
"4002228_15.jpg"
] | a client undergoing an eeg measurement in a clinic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002228.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 client undergoing an eeg measurement in a clinic\",\nall the frames of video are as 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"
}
] |
2004165 | [
"2004165_00.jpg",
"2004165_01.jpg",
"2004165_02.jpg",
"2004165_03.jpg",
"2004165_04.jpg",
"2004165_05.jpg",
"2004165_06.jpg",
"2004165_07.jpg",
"2004165_08.jpg",
"2004165_09.jpg",
"2004165_10.jpg",
"2004165_11.jpg",
"2004165_12.jpg",
"2004165_13.jpg",
"2004165_14.jpg",
"2004165_15.jpg"
] | two men having a debate talking to each other in 1st century AD in Petra | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004165.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 \"two men having a debate talking to each other in 1st century AD in Petra\",\nall the frames of video are as 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"
}
] |
4000090 | [
"4000090_00.jpg",
"4000090_01.jpg",
"4000090_02.jpg",
"4000090_03.jpg",
"4000090_04.jpg",
"4000090_05.jpg",
"4000090_06.jpg",
"4000090_07.jpg",
"4000090_08.jpg",
"4000090_09.jpg",
"4000090_10.jpg",
"4000090_11.jpg",
"4000090_12.jpg",
"4000090_13.jpg",
"4000090_14.jpg",
"4000090_15.jpg"
] | a t shirt mockup of 30 seconds | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000090.mp4 | 3 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a t shirt mockup of 30 seconds\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
8000561 | [
"8000561_00.jpg",
"8000561_01.jpg",
"8000561_02.jpg",
"8000561_03.jpg",
"8000561_04.jpg",
"8000561_05.jpg",
"8000561_06.jpg",
"8000561_07.jpg",
"8000561_08.jpg",
"8000561_09.jpg",
"8000561_10.jpg",
"8000561_11.jpg",
"8000561_12.jpg",
"8000561_13.jpg",
"8000561_14.jpg",
"8000561_15.jpg",
"8000561_16.jpg",
"8000561_17.jpg",
"8000561_18.jpg",
"8000561_19.jpg",
"8000561_20.jpg",
"8000561_21.jpg",
"8000561_22.jpg",
"8000561_23.jpg"
] | a still image to. video of a happy couple eating ice cream | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000561.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 still image to. video of a happy couple eating ice cream\",\nall the 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"
}
] |
1002909 | [
"1002909_00.jpg",
"1002909_01.jpg",
"1002909_02.jpg",
"1002909_03.jpg",
"1002909_04.jpg",
"1002909_05.jpg",
"1002909_06.jpg",
"1002909_07.jpg",
"1002909_08.jpg",
"1002909_09.jpg",
"1002909_10.jpg",
"1002909_11.jpg",
"1002909_12.jpg",
"1002909_13.jpg",
"1002909_14.jpg",
"1002909_15.jpg"
] | A fit, melanin man, short black coiled hair, light brown skin, 50 years old, white beard, Talking. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002909.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 fit, melanin man, short black coiled hair, light brown skin, 50 years old, white beard, Talking.\",\nall the frames of video are as 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"
}
] |
2000170 | [
"2000170_00.jpg",
"2000170_01.jpg",
"2000170_02.jpg",
"2000170_03.jpg",
"2000170_04.jpg",
"2000170_05.jpg",
"2000170_06.jpg",
"2000170_07.jpg",
"2000170_08.jpg",
"2000170_09.jpg",
"2000170_10.jpg",
"2000170_11.jpg",
"2000170_12.jpg",
"2000170_13.jpg",
"2000170_14.jpg",
"2000170_15.jpg"
] | Eye of the Tiger Zoo edit ft King Monkey, Tired Tiger, and Snapping Turtle | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000170.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 \"Eye of the Tiger Zoo edit ft King Monkey, Tired Tiger, and Snapping Turtle\",\nall the frames of video are as 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"
}
] |
0006851 | [
"0006851_00.jpg",
"0006851_01.jpg",
"0006851_02.jpg",
"0006851_03.jpg",
"0006851_04.jpg",
"0006851_05.jpg",
"0006851_06.jpg",
"0006851_07.jpg",
"0006851_08.jpg",
"0006851_09.jpg",
"0006851_10.jpg",
"0006851_11.jpg",
"0006851_12.jpg",
"0006851_13.jpg",
"0006851_14.jpg",
"0006851_15.jpg",
"0006851_16.jpg",
"0006851_17.jpg",
"0006851_18.jpg",
"0006851_19.jpg",
"0006851_20.jpg",
"0006851_21.jpg",
"0006851_22.jpg",
"0006851_23.jpg"
] | lofi scene of river with floating petals | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006851.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 \"lofi scene of river with floating petals\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3000327 | [
"3000327_00.jpg",
"3000327_01.jpg",
"3000327_02.jpg",
"3000327_03.jpg",
"3000327_04.jpg",
"3000327_05.jpg",
"3000327_06.jpg",
"3000327_07.jpg",
"3000327_08.jpg",
"3000327_09.jpg",
"3000327_10.jpg",
"3000327_11.jpg",
"3000327_12.jpg",
"3000327_13.jpg",
"3000327_14.jpg",
"3000327_15.jpg"
] | huge transparent glowing faceted crystal in a beautiful fantasy landscape | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000327.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 \"huge transparent glowing faceted crystal in a beautiful fantasy landscape\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
7001313 | [
"7001313_00.jpg",
"7001313_01.jpg",
"7001313_02.jpg",
"7001313_03.jpg",
"7001313_04.jpg",
"7001313_05.jpg",
"7001313_06.jpg",
"7001313_07.jpg"
] | A Christmas Blue creature xmas hat smurf like preparing cofee inside of house of wood with snow outside | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001313.mp4 | 2 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A Christmas Blue creature xmas hat smurf like preparing cofee inside of house of wood with snow outside\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3000366 | [
"3000366_00.jpg",
"3000366_01.jpg",
"3000366_02.jpg",
"3000366_03.jpg",
"3000366_04.jpg",
"3000366_05.jpg",
"3000366_06.jpg",
"3000366_07.jpg",
"3000366_08.jpg",
"3000366_09.jpg",
"3000366_10.jpg",
"3000366_11.jpg",
"3000366_12.jpg",
"3000366_13.jpg",
"3000366_14.jpg",
"3000366_15.jpg"
] | chracters from the cartoon Adventure Time, The Ice King is flying thru the air while holding a penguin under his arm, in new york city | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000366.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 \"chracters from the cartoon Adventure Time, The Ice King is flying thru the air while holding a penguin under his arm, in new york 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"
}
] |
0001660 | [
"0001660_00.jpg",
"0001660_01.jpg",
"0001660_02.jpg",
"0001660_03.jpg",
"0001660_04.jpg",
"0001660_05.jpg",
"0001660_06.jpg",
"0001660_07.jpg",
"0001660_08.jpg",
"0001660_09.jpg",
"0001660_10.jpg",
"0001660_11.jpg",
"0001660_12.jpg",
"0001660_13.jpg",
"0001660_14.jpg",
"0001660_15.jpg",
"0001660_16.jpg",
"0001660_17.jpg",
"0001660_18.jpg",
"0001660_19.jpg",
"0001660_20.jpg",
"0001660_21.jpg",
"0001660_22.jpg",
"0001660_23.jpg"
] | creatures of the night with glowing eyes in a graveyard at night frolicking, detailed, best quality, realistic, masterpiece, scary, creepy | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001660.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 \"creatures of the night with glowing eyes in a graveyard at night frolicking, detailed, best quality, realistic, masterpiece, scary, creepy\",\nall the 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"
}
] |
3001765 | [
"3001765_00.jpg",
"3001765_01.jpg",
"3001765_02.jpg",
"3001765_03.jpg",
"3001765_04.jpg",
"3001765_05.jpg",
"3001765_06.jpg",
"3001765_07.jpg",
"3001765_08.jpg",
"3001765_09.jpg",
"3001765_10.jpg",
"3001765_11.jpg",
"3001765_12.jpg",
"3001765_13.jpg",
"3001765_14.jpg",
"3001765_15.jpg"
] | realistic humanoid female robot, wearing shoort black skirt and shear revealing low cut blouse, very beautiful asian looking , sexy body, long blonde hair, moving right arm to right and with a very seductive and beautiful face | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001765.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 \"realistic humanoid female robot, wearing shoort black skirt and shear revealing low cut blouse, very beautiful asian looking , sexy body, long blonde hair, moving right arm to right and with a very seductive and beautiful face\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2003097 | [
"2003097_00.jpg",
"2003097_01.jpg",
"2003097_02.jpg",
"2003097_03.jpg",
"2003097_04.jpg",
"2003097_05.jpg",
"2003097_06.jpg",
"2003097_07.jpg",
"2003097_08.jpg",
"2003097_09.jpg",
"2003097_10.jpg",
"2003097_11.jpg",
"2003097_12.jpg",
"2003097_13.jpg",
"2003097_14.jpg",
"2003097_15.jpg"
] | beautiful swimming hole in the middle of a field with a few trees around | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003097.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 \"beautiful swimming hole in the middle of a field with a few trees around\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
0000638 | [
"0000638_00.jpg",
"0000638_01.jpg",
"0000638_02.jpg",
"0000638_03.jpg",
"0000638_04.jpg",
"0000638_05.jpg",
"0000638_06.jpg",
"0000638_07.jpg",
"0000638_08.jpg",
"0000638_09.jpg",
"0000638_10.jpg",
"0000638_11.jpg",
"0000638_12.jpg",
"0000638_13.jpg",
"0000638_14.jpg",
"0000638_15.jpg",
"0000638_16.jpg",
"0000638_17.jpg",
"0000638_18.jpg",
"0000638_19.jpg",
"0000638_20.jpg",
"0000638_21.jpg",
"0000638_22.jpg",
"0000638_23.jpg"
] | Amidst the chaos and carnage, there are moments of humanity, reminders of the shared bonds of human compassion | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000638.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 \"Amidst the chaos and carnage, there are moments of humanity, reminders of the shared bonds of human compassion\",\nall the 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"
}
] |
1000169 | [
"1000169_00.jpg",
"1000169_01.jpg",
"1000169_02.jpg",
"1000169_03.jpg",
"1000169_04.jpg",
"1000169_05.jpg",
"1000169_06.jpg",
"1000169_07.jpg",
"1000169_08.jpg",
"1000169_09.jpg",
"1000169_10.jpg",
"1000169_11.jpg",
"1000169_12.jpg",
"1000169_13.jpg",
"1000169_14.jpg",
"1000169_15.jpg"
] | deadpool inspired puffer coat 4k advertisement | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000169.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 \"deadpool inspired puffer coat 4k advertisement\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3002297 | [
"3002297_00.jpg",
"3002297_01.jpg",
"3002297_02.jpg",
"3002297_03.jpg",
"3002297_04.jpg",
"3002297_05.jpg",
"3002297_06.jpg",
"3002297_07.jpg",
"3002297_08.jpg",
"3002297_09.jpg",
"3002297_10.jpg",
"3002297_11.jpg",
"3002297_12.jpg",
"3002297_13.jpg",
"3002297_14.jpg",
"3002297_15.jpg"
] | explosion woman fire cat flower fireworks naruto tree dance waka waka hey hey | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002297.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 \"explosion woman fire cat flower fireworks naruto tree dance waka waka hey hey\",\nall the frames of video are as 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"
}
] |
2000914 | [
"2000914_00.jpg",
"2000914_01.jpg",
"2000914_02.jpg",
"2000914_03.jpg",
"2000914_04.jpg",
"2000914_05.jpg",
"2000914_06.jpg",
"2000914_07.jpg",
"2000914_08.jpg",
"2000914_09.jpg",
"2000914_10.jpg",
"2000914_11.jpg",
"2000914_12.jpg",
"2000914_13.jpg",
"2000914_14.jpg",
"2000914_15.jpg"
] | young girl with a large bust, next to a man of athletic build wearing a jacket, dim light | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000914.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 \"young girl with a large bust, next to a man of athletic build wearing a jacket, dim light\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
5000297 | [
"5000297_00.jpg",
"5000297_01.jpg",
"5000297_02.jpg",
"5000297_03.jpg",
"5000297_04.jpg",
"5000297_05.jpg",
"5000297_06.jpg",
"5000297_07.jpg",
"5000297_08.jpg",
"5000297_09.jpg",
"5000297_10.jpg",
"5000297_11.jpg",
"5000297_12.jpg",
"5000297_13.jpg",
"5000297_14.jpg",
"5000297_15.jpg"
] | canon ball fired to a pirate ship and it sinks 4k quality | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000297.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 \"canon ball fired to a pirate ship and it sinks 4k quality\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3002086 | [
"3002086_00.jpg",
"3002086_01.jpg",
"3002086_02.jpg",
"3002086_03.jpg",
"3002086_04.jpg",
"3002086_05.jpg",
"3002086_06.jpg",
"3002086_07.jpg",
"3002086_08.jpg",
"3002086_09.jpg",
"3002086_10.jpg",
"3002086_11.jpg",
"3002086_12.jpg",
"3002086_13.jpg",
"3002086_14.jpg",
"3002086_15.jpg"
] | The video showcases a prestigious British school with a stunning campus, diverse academic offerings, outstanding faculty, and vibrant interactions between students in classrooms and social settings | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002086.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 \"The video showcases a prestigious British school with a stunning campus, diverse academic offerings, outstanding faculty, and vibrant interactions between students in classrooms and social settings\",\nall the frames of video are as 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"
}
] |
s000724 | [
"s000724_00.jpg",
"s000724_01.jpg",
"s000724_02.jpg",
"s000724_03.jpg",
"s000724_04.jpg",
"s000724_05.jpg",
"s000724_06.jpg",
"s000724_07.jpg",
"s000724_08.jpg",
"s000724_09.jpg",
"s000724_10.jpg",
"s000724_11.jpg",
"s000724_12.jpg",
"s000724_13.jpg",
"s000724_14.jpg",
"s000724_15.jpg",
"s000724_16.jpg",
"s000724_17.jpg",
"s000724_18.jpg",
"s000724_19.jpg"
] | Put the ballot paper in the ballot box | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000724.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 \"Put the ballot paper in the ballot box\",\nall the 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"
}
] |
1004068 | [
"1004068_00.jpg",
"1004068_01.jpg",
"1004068_02.jpg",
"1004068_03.jpg",
"1004068_04.jpg",
"1004068_05.jpg",
"1004068_06.jpg",
"1004068_07.jpg",
"1004068_08.jpg",
"1004068_09.jpg",
"1004068_10.jpg",
"1004068_11.jpg",
"1004068_12.jpg",
"1004068_13.jpg",
"1004068_14.jpg",
"1004068_15.jpg"
] | pink skinned male faerie doing magic, camera zoom out, transformation | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004068.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 \"pink skinned male faerie doing magic, camera zoom out, transformation\",\nall the frames of video are as 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"
}
] |
2003530 | [
"2003530_00.jpg",
"2003530_01.jpg",
"2003530_02.jpg",
"2003530_03.jpg",
"2003530_04.jpg",
"2003530_05.jpg",
"2003530_06.jpg",
"2003530_07.jpg",
"2003530_08.jpg",
"2003530_09.jpg",
"2003530_10.jpg",
"2003530_11.jpg",
"2003530_12.jpg",
"2003530_13.jpg",
"2003530_14.jpg",
"2003530_15.jpg"
] | a beautiful girl shaking her figure | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003530.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 beautiful girl shaking her figure\",\nall the frames of video are as 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"
}
] |
2001464 | [
"2001464_00.jpg",
"2001464_01.jpg",
"2001464_02.jpg",
"2001464_03.jpg",
"2001464_04.jpg",
"2001464_05.jpg",
"2001464_06.jpg",
"2001464_07.jpg",
"2001464_08.jpg",
"2001464_09.jpg",
"2001464_10.jpg",
"2001464_11.jpg",
"2001464_12.jpg",
"2001464_13.jpg",
"2001464_14.jpg",
"2001464_15.jpg"
] | However, one day, a fierce sandstorm swept through the desert, threatening to engulf the oasis in a shroud of choking dust. The creatures huddled together, seeking shelter beneath the protective branches of the oasis tree. Aria knew that they had to protect their haven of life at all costs. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001464.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 \"However, one day, a fierce sandstorm swept through the desert, threatening to engulf the oasis in a shroud of choking dust. The creatures huddled together, seeking shelter beneath the protective branches of the oasis tree. Aria knew that they had to protect their haven of life at all costs.\",\nall the frames of video are as 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: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1001260 | [
"1001260_00.jpg",
"1001260_01.jpg",
"1001260_02.jpg",
"1001260_03.jpg",
"1001260_04.jpg",
"1001260_05.jpg",
"1001260_06.jpg",
"1001260_07.jpg",
"1001260_08.jpg",
"1001260_09.jpg",
"1001260_10.jpg",
"1001260_11.jpg",
"1001260_12.jpg",
"1001260_13.jpg",
"1001260_14.jpg",
"1001260_15.jpg"
] | driving a car on the highway modern year | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001260.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 \"driving a car on the highway modern year\",\nall the frames of video are as 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"
}
] |
4002163 | [
"4002163_00.jpg",
"4002163_01.jpg",
"4002163_02.jpg",
"4002163_03.jpg",
"4002163_04.jpg",
"4002163_05.jpg",
"4002163_06.jpg",
"4002163_07.jpg",
"4002163_08.jpg",
"4002163_09.jpg",
"4002163_10.jpg",
"4002163_11.jpg",
"4002163_12.jpg",
"4002163_13.jpg",
"4002163_14.jpg",
"4002163_15.jpg"
] | A boat sailing leisurely along the Seine River with the Eiffel Tower in background, pixel art | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002163.mp4 | 1 | 2 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A boat sailing leisurely along the Seine River with the Eiffel Tower in background, pixel art\",\nall the frames of video are as 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"
}
] |
6001245 | [
"6001245_00.jpg",
"6001245_01.jpg",
"6001245_02.jpg",
"6001245_03.jpg",
"6001245_04.jpg",
"6001245_05.jpg",
"6001245_06.jpg",
"6001245_07.jpg",
"6001245_08.jpg",
"6001245_09.jpg",
"6001245_10.jpg",
"6001245_11.jpg",
"6001245_12.jpg",
"6001245_13.jpg",
"6001245_14.jpg",
"6001245_15.jpg"
] | a malaysian housing area in the morning | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001245.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 malaysian housing area in the morning\",\nall the frames of video are as 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"
}
] |
4001589 | [
"4001589_00.jpg",
"4001589_01.jpg",
"4001589_02.jpg",
"4001589_03.jpg",
"4001589_04.jpg",
"4001589_05.jpg",
"4001589_06.jpg",
"4001589_07.jpg",
"4001589_08.jpg",
"4001589_09.jpg",
"4001589_10.jpg",
"4001589_11.jpg",
"4001589_12.jpg",
"4001589_13.jpg",
"4001589_14.jpg",
"4001589_15.jpg"
] | titanic sub exploding in new york | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001589.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 \"titanic sub exploding in new york\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3001310 | [
"3001310_00.jpg",
"3001310_01.jpg",
"3001310_02.jpg",
"3001310_03.jpg",
"3001310_04.jpg",
"3001310_05.jpg",
"3001310_06.jpg",
"3001310_07.jpg",
"3001310_08.jpg",
"3001310_09.jpg",
"3001310_10.jpg",
"3001310_11.jpg",
"3001310_12.jpg",
"3001310_13.jpg",
"3001310_14.jpg",
"3001310_15.jpg"
] | woman sad for the loss of a loved one. medidas 1920x1080 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001310.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 \"woman sad for the loss of a loved one. medidas 1920x1080\",\nall the frames of video are as 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"
}
] |
5000516 | [
"5000516_00.jpg",
"5000516_01.jpg",
"5000516_02.jpg",
"5000516_03.jpg",
"5000516_04.jpg",
"5000516_05.jpg",
"5000516_06.jpg",
"5000516_07.jpg",
"5000516_08.jpg",
"5000516_09.jpg",
"5000516_10.jpg",
"5000516_11.jpg",
"5000516_12.jpg",
"5000516_13.jpg",
"5000516_14.jpg",
"5000516_15.jpg"
] | Beautiful woman standing in front of cottage at dusk. In the style of Beauty and the Beast. Cinematic, 8K | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000516.mp4 | 2 | 2 | 2 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Beautiful woman standing in front of cottage at dusk. In the style of Beauty and the Beast. Cinematic, 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: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
5000701 | [
"5000701_00.jpg",
"5000701_01.jpg",
"5000701_02.jpg",
"5000701_03.jpg",
"5000701_04.jpg",
"5000701_05.jpg",
"5000701_06.jpg",
"5000701_07.jpg",
"5000701_08.jpg",
"5000701_09.jpg",
"5000701_10.jpg",
"5000701_11.jpg",
"5000701_12.jpg",
"5000701_13.jpg",
"5000701_14.jpg",
"5000701_15.jpg"
] | Druids moving down gothic hallway with candles Beksinski Alfred Stieglitz grainy black and white 1900s | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000701.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 \"Druids moving down gothic hallway with candles Beksinski Alfred Stieglitz grainy black and white 1900s\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
3006296 | [
"3006296_00.jpg",
"3006296_01.jpg",
"3006296_02.jpg",
"3006296_03.jpg",
"3006296_04.jpg",
"3006296_05.jpg",
"3006296_06.jpg",
"3006296_07.jpg",
"3006296_08.jpg",
"3006296_09.jpg",
"3006296_10.jpg",
"3006296_11.jpg",
"3006296_12.jpg",
"3006296_13.jpg",
"3006296_14.jpg",
"3006296_15.jpg"
] | running wolf, northern lights, snow, zoom out, realistic, 4k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006296.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 \"running wolf, northern lights, snow, zoom out, realistic, 4k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
2001723 | [
"2001723_00.jpg",
"2001723_01.jpg",
"2001723_02.jpg",
"2001723_03.jpg",
"2001723_04.jpg",
"2001723_05.jpg",
"2001723_06.jpg",
"2001723_07.jpg",
"2001723_08.jpg",
"2001723_09.jpg",
"2001723_10.jpg",
"2001723_11.jpg",
"2001723_12.jpg",
"2001723_13.jpg",
"2001723_14.jpg",
"2001723_15.jpg"
] | the bubbles are popping and she is surprised but happy | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001723.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 bubbles are popping and she is surprised but happy\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1006981 | [
"1006981_00.jpg",
"1006981_01.jpg",
"1006981_02.jpg",
"1006981_03.jpg",
"1006981_04.jpg",
"1006981_05.jpg",
"1006981_06.jpg",
"1006981_07.jpg",
"1006981_08.jpg",
"1006981_09.jpg",
"1006981_10.jpg",
"1006981_11.jpg",
"1006981_12.jpg",
"1006981_13.jpg",
"1006981_14.jpg",
"1006981_15.jpg"
] | prompt: a girl walking on the beach , looking at the sea | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006981.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 \"prompt: a girl walking on the beach , looking at the sea\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1000107 | [
"1000107_00.jpg",
"1000107_01.jpg",
"1000107_02.jpg",
"1000107_03.jpg",
"1000107_04.jpg",
"1000107_05.jpg",
"1000107_06.jpg",
"1000107_07.jpg",
"1000107_08.jpg",
"1000107_09.jpg",
"1000107_10.jpg",
"1000107_11.jpg",
"1000107_12.jpg",
"1000107_13.jpg",
"1000107_14.jpg",
"1000107_15.jpg"
] | No prompt | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000107.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 \"No prompt\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
6001065 | [
"6001065_00.jpg",
"6001065_01.jpg",
"6001065_02.jpg",
"6001065_03.jpg",
"6001065_04.jpg",
"6001065_05.jpg",
"6001065_06.jpg",
"6001065_07.jpg",
"6001065_08.jpg",
"6001065_09.jpg",
"6001065_10.jpg",
"6001065_11.jpg",
"6001065_12.jpg",
"6001065_13.jpg",
"6001065_14.jpg",
"6001065_15.jpg"
] | . Each person has a role to play in living sustainably, reducing their carbon footprint, and promoting conservation | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001065.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 \". Each person has a role to play in living sustainably, reducing their carbon footprint, and promoting conservation\",\nall the frames of video are as 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"
}
] |
2004077 | [
"2004077_00.jpg",
"2004077_01.jpg",
"2004077_02.jpg",
"2004077_03.jpg",
"2004077_04.jpg",
"2004077_05.jpg",
"2004077_06.jpg",
"2004077_07.jpg",
"2004077_08.jpg",
"2004077_09.jpg",
"2004077_10.jpg",
"2004077_11.jpg",
"2004077_12.jpg",
"2004077_13.jpg",
"2004077_14.jpg",
"2004077_15.jpg"
] | Create a video about camping with portable power station | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004077.mp4 | 3 | 3 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Create a video about camping with portable power station\",\nall the frames of video are as 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"
}
] |
2002239 | [
"2002239_00.jpg",
"2002239_01.jpg",
"2002239_02.jpg",
"2002239_03.jpg",
"2002239_04.jpg",
"2002239_05.jpg",
"2002239_06.jpg",
"2002239_07.jpg",
"2002239_08.jpg",
"2002239_09.jpg",
"2002239_10.jpg",
"2002239_11.jpg",
"2002239_12.jpg",
"2002239_13.jpg",
"2002239_14.jpg",
"2002239_15.jpg"
] | Sylvester Stallone box fighting with others | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002239.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 \"Sylvester Stallone box fighting with others\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6002215 | [
"6002215_00.jpg",
"6002215_01.jpg",
"6002215_02.jpg",
"6002215_03.jpg",
"6002215_04.jpg",
"6002215_05.jpg",
"6002215_06.jpg",
"6002215_07.jpg",
"6002215_08.jpg",
"6002215_09.jpg",
"6002215_10.jpg",
"6002215_11.jpg",
"6002215_12.jpg",
"6002215_13.jpg",
"6002215_14.jpg",
"6002215_15.jpg"
] | Yuki encounters a powerful sorcerer testing his skills. Yuki dazzles everyone with his remarkable magical prowess, proving his strength , anime style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002215.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 \"Yuki encounters a powerful sorcerer testing his skills. Yuki dazzles everyone with his remarkable magical prowess, proving his strength , anime style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
8003148 | [
"8003148_00.jpg",
"8003148_01.jpg",
"8003148_02.jpg",
"8003148_03.jpg",
"8003148_04.jpg",
"8003148_05.jpg",
"8003148_06.jpg",
"8003148_07.jpg",
"8003148_08.jpg",
"8003148_09.jpg",
"8003148_10.jpg",
"8003148_11.jpg",
"8003148_12.jpg",
"8003148_13.jpg",
"8003148_14.jpg",
"8003148_15.jpg",
"8003148_16.jpg",
"8003148_17.jpg",
"8003148_18.jpg",
"8003148_19.jpg",
"8003148_20.jpg",
"8003148_21.jpg",
"8003148_22.jpg",
"8003148_23.jpg"
] | time lapse waves on a beach | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003148.mp4 | 1 | 1 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"time lapse waves on a beach\",\nall the 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: 3\n"
}
] |
2006492 | [
"2006492_00.jpg",
"2006492_01.jpg",
"2006492_02.jpg",
"2006492_03.jpg",
"2006492_04.jpg",
"2006492_05.jpg",
"2006492_06.jpg",
"2006492_07.jpg",
"2006492_08.jpg",
"2006492_09.jpg",
"2006492_10.jpg",
"2006492_11.jpg",
"2006492_12.jpg",
"2006492_13.jpg",
"2006492_14.jpg",
"2006492_15.jpg"
] | a patient in a white coat from a Soviet hospital fights against a Soviet soldier in 1940, black and white film | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006492.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a patient in a white coat from a Soviet hospital fights against a Soviet soldier in 1940, black and white film\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
4000170 | [
"4000170_00.jpg",
"4000170_01.jpg",
"4000170_02.jpg",
"4000170_03.jpg",
"4000170_04.jpg",
"4000170_05.jpg",
"4000170_06.jpg",
"4000170_07.jpg",
"4000170_08.jpg",
"4000170_09.jpg",
"4000170_10.jpg",
"4000170_11.jpg",
"4000170_12.jpg",
"4000170_13.jpg",
"4000170_14.jpg",
"4000170_15.jpg"
] | rainy season in village, windy envirement | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000170.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 \"rainy season in village, windy envirement\",\nall the frames of video are as 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"
}
] |
6003442 | [
"6003442_00.jpg",
"6003442_01.jpg",
"6003442_02.jpg",
"6003442_03.jpg",
"6003442_04.jpg",
"6003442_05.jpg",
"6003442_06.jpg",
"6003442_07.jpg",
"6003442_08.jpg",
"6003442_09.jpg",
"6003442_10.jpg",
"6003442_11.jpg",
"6003442_12.jpg",
"6003442_13.jpg",
"6003442_14.jpg",
"6003442_15.jpg"
] | Ray Keen of Canby Oregon playing paddle ball at dusk | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003442.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 \"Ray Keen of Canby Oregon playing paddle ball at dusk\",\nall the frames of video are as 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"
}
] |
6003888 | [
"6003888_00.jpg",
"6003888_01.jpg",
"6003888_02.jpg",
"6003888_03.jpg",
"6003888_04.jpg",
"6003888_05.jpg",
"6003888_06.jpg",
"6003888_07.jpg",
"6003888_08.jpg",
"6003888_09.jpg",
"6003888_10.jpg",
"6003888_11.jpg",
"6003888_12.jpg",
"6003888_13.jpg",
"6003888_14.jpg",
"6003888_15.jpg"
] | One earth like planet in space, analog video | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003888.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 \"One earth like planet in space, analog 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: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0001957 | [
"0001957_00.jpg",
"0001957_01.jpg",
"0001957_02.jpg",
"0001957_03.jpg",
"0001957_04.jpg",
"0001957_05.jpg",
"0001957_06.jpg",
"0001957_07.jpg",
"0001957_08.jpg",
"0001957_09.jpg",
"0001957_10.jpg",
"0001957_11.jpg",
"0001957_12.jpg",
"0001957_13.jpg",
"0001957_14.jpg",
"0001957_15.jpg",
"0001957_16.jpg",
"0001957_17.jpg",
"0001957_18.jpg",
"0001957_19.jpg",
"0001957_20.jpg",
"0001957_21.jpg",
"0001957_22.jpg",
"0001957_23.jpg"
] | A weighing scale showing a higher number | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001957.mp4 | 2 | 3 | 1 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A weighing scale showing a higher number\",\nall the 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"
}
] |
s000341 | [
"s000341_00.jpg",
"s000341_01.jpg",
"s000341_02.jpg",
"s000341_03.jpg",
"s000341_04.jpg",
"s000341_05.jpg",
"s000341_06.jpg",
"s000341_07.jpg",
"s000341_08.jpg",
"s000341_09.jpg",
"s000341_10.jpg",
"s000341_11.jpg",
"s000341_12.jpg",
"s000341_13.jpg",
"s000341_14.jpg",
"s000341_15.jpg",
"s000341_16.jpg",
"s000341_17.jpg",
"s000341_18.jpg",
"s000341_19.jpg",
"s000341_20.jpg",
"s000341_21.jpg",
"s000341_22.jpg",
"s000341_23.jpg"
] | hyper realistic wizards sitting across a long table on ipads in a forest | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000341.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 \"hyper realistic wizards sitting across a long table on ipads in a 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: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n"
}
] |
1006336 | [
"1006336_00.jpg",
"1006336_01.jpg",
"1006336_02.jpg",
"1006336_03.jpg",
"1006336_04.jpg",
"1006336_05.jpg",
"1006336_06.jpg",
"1006336_07.jpg",
"1006336_08.jpg",
"1006336_09.jpg",
"1006336_10.jpg",
"1006336_11.jpg",
"1006336_12.jpg",
"1006336_13.jpg",
"1006336_14.jpg",
"1006336_15.jpg"
] | Baby groot, cinematic, 4k, having fun | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006336.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 \"Baby groot, cinematic, 4k, having fun\",\nall the frames of video are as 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"
}
] |
3000126 | [
"3000126_00.jpg",
"3000126_01.jpg",
"3000126_02.jpg",
"3000126_03.jpg",
"3000126_04.jpg",
"3000126_05.jpg",
"3000126_06.jpg",
"3000126_07.jpg",
"3000126_08.jpg",
"3000126_09.jpg",
"3000126_10.jpg",
"3000126_11.jpg",
"3000126_12.jpg",
"3000126_13.jpg",
"3000126_14.jpg",
"3000126_15.jpg"
] | France CITIZEN IN FRANC walking to bakery | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000126.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 \"France CITIZEN IN FRANC walking to bakery\",\nall the frames of video are as 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"
}
] |
5000806 | [
"5000806_00.jpg",
"5000806_01.jpg",
"5000806_02.jpg",
"5000806_03.jpg",
"5000806_04.jpg",
"5000806_05.jpg",
"5000806_06.jpg",
"5000806_07.jpg",
"5000806_08.jpg",
"5000806_09.jpg",
"5000806_10.jpg",
"5000806_11.jpg",
"5000806_12.jpg",
"5000806_13.jpg",
"5000806_14.jpg",
"5000806_15.jpg"
] | : A visual representation of a Lyraxian diplomat engaging in conversation with human delegates, portraying their intent on peaceful coexistence and mutual understanding. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000806.mp4 | 2 | 3 | 2 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \": A visual representation of a Lyraxian diplomat engaging in conversation with human delegates, portraying their intent on peaceful coexistence and mutual understanding.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
9000181 | [
"9000181_00.jpg",
"9000181_01.jpg",
"9000181_02.jpg",
"9000181_03.jpg",
"9000181_04.jpg",
"9000181_05.jpg",
"9000181_06.jpg",
"9000181_07.jpg",
"9000181_08.jpg",
"9000181_09.jpg",
"9000181_10.jpg",
"9000181_11.jpg",
"9000181_12.jpg",
"9000181_13.jpg",
"9000181_14.jpg",
"9000181_15.jpg",
"9000181_16.jpg",
"9000181_17.jpg",
"9000181_18.jpg",
"9000181_19.jpg",
"9000181_20.jpg",
"9000181_21.jpg",
"9000181_22.jpg",
"9000181_23.jpg"
] | liked a video of silent film,actress goes to open front door,old footage,shallow focus | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000181.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 \"liked a video of silent film,actress goes to open front door,old footage,shallow focus\",\nall the 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"
}
] |
5000635 | [
"5000635_00.jpg",
"5000635_01.jpg",
"5000635_02.jpg",
"5000635_03.jpg",
"5000635_04.jpg",
"5000635_05.jpg",
"5000635_06.jpg",
"5000635_07.jpg",
"5000635_08.jpg",
"5000635_09.jpg",
"5000635_10.jpg",
"5000635_11.jpg",
"5000635_12.jpg",
"5000635_13.jpg",
"5000635_14.jpg",
"5000635_15.jpg"
] | Transition to a sequence where the traveler is meticulously packing a weathered backpack, laying out items on a bed or table. The items tell a story of their own – a camera dangling from the strap, a compass, a notebook filled with travel tips, a small globe keychain, and a passport adorned with colorful entry stamps. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000635.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 \"Transition to a sequence where the traveler is meticulously packing a weathered backpack, laying out items on a bed or table. The items tell a story of their own – a camera dangling from the strap, a compass, a notebook filled with travel tips, a small globe keychain, and a passport adorned with colorful entry stamps.\",\nall the frames of video are as 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"
}
] |
3002040 | [
"3002040_00.jpg",
"3002040_01.jpg",
"3002040_02.jpg",
"3002040_03.jpg",
"3002040_04.jpg",
"3002040_05.jpg",
"3002040_06.jpg",
"3002040_07.jpg",
"3002040_08.jpg",
"3002040_09.jpg",
"3002040_10.jpg",
"3002040_11.jpg",
"3002040_12.jpg",
"3002040_13.jpg",
"3002040_14.jpg",
"3002040_15.jpg"
] | two boys Zhenya and Sasha, 3 years old, sitting in a diaper | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002040.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 \"two boys Zhenya and Sasha, 3 years old, sitting in a diaper\",\nall the frames of video are as 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"
}
] |
6003735 | [
"6003735_00.jpg",
"6003735_01.jpg",
"6003735_02.jpg",
"6003735_03.jpg",
"6003735_04.jpg",
"6003735_05.jpg",
"6003735_06.jpg",
"6003735_07.jpg",
"6003735_08.jpg",
"6003735_09.jpg",
"6003735_10.jpg",
"6003735_11.jpg",
"6003735_12.jpg",
"6003735_13.jpg",
"6003735_14.jpg",
"6003735_15.jpg"
] | a wizard wearing a pointed hat and a blue robe with white stars casting a spell that shoots lightning from his hand and holding an old tome in his other hand | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003735.mp4 | 1 | 1 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a wizard wearing a pointed hat and a blue robe with white stars casting a spell that shoots lightning from his hand and holding an old tome in his other hand\",\nall the frames of video are as 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: 2\n"
}
] |
5000553 | [
"5000553_00.jpg",
"5000553_01.jpg",
"5000553_02.jpg",
"5000553_03.jpg",
"5000553_04.jpg",
"5000553_05.jpg",
"5000553_06.jpg",
"5000553_07.jpg",
"5000553_08.jpg",
"5000553_09.jpg",
"5000553_10.jpg",
"5000553_11.jpg",
"5000553_12.jpg",
"5000553_13.jpg",
"5000553_14.jpg",
"5000553_15.jpg"
] | gigantic dragoness moving through city, 2D animation | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000553.mp4 | 3 | 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 \"gigantic dragoness moving through city, 2D animation\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
9000933 | [
"9000933_00.jpg",
"9000933_01.jpg",
"9000933_02.jpg",
"9000933_03.jpg",
"9000933_04.jpg",
"9000933_05.jpg",
"9000933_06.jpg",
"9000933_07.jpg",
"9000933_08.jpg",
"9000933_09.jpg",
"9000933_10.jpg",
"9000933_11.jpg",
"9000933_12.jpg",
"9000933_13.jpg",
"9000933_14.jpg",
"9000933_15.jpg",
"9000933_16.jpg",
"9000933_17.jpg",
"9000933_18.jpg",
"9000933_19.jpg",
"9000933_20.jpg",
"9000933_21.jpg",
"9000933_22.jpg",
"9000933_23.jpg"
] | puppy rushes to the kitchen, tail wagging, as his owner prepares his breakfast.
We see Max gobbling up his food with enthusiasm.
His owner pets him affectionately, and Max responds with joyful affection. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000933.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 \"puppy rushes to the kitchen, tail wagging, as his owner prepares his breakfast.\nWe see Max gobbling up his food with enthusiasm.\nHis owner pets him affectionately, and Max responds with joyful affection.\",\nall the 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"
}
] |
9000694 | [
"9000694_00.jpg",
"9000694_01.jpg",
"9000694_02.jpg",
"9000694_03.jpg",
"9000694_04.jpg",
"9000694_05.jpg",
"9000694_06.jpg",
"9000694_07.jpg",
"9000694_08.jpg",
"9000694_09.jpg",
"9000694_10.jpg",
"9000694_11.jpg",
"9000694_12.jpg",
"9000694_13.jpg",
"9000694_14.jpg",
"9000694_15.jpg",
"9000694_16.jpg",
"9000694_17.jpg",
"9000694_18.jpg",
"9000694_19.jpg",
"9000694_20.jpg",
"9000694_21.jpg",
"9000694_22.jpg",
"9000694_23.jpg"
] | 16:9 Movement of a submarine moving in the deep sea and emitting a beam | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000694.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 \"16:9 Movement of a submarine moving in the deep sea and emitting a beam\",\nall the 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"
}
] |
4000551 | [
"4000551_00.jpg",
"4000551_01.jpg",
"4000551_02.jpg",
"4000551_03.jpg",
"4000551_04.jpg",
"4000551_05.jpg",
"4000551_06.jpg",
"4000551_07.jpg",
"4000551_08.jpg",
"4000551_09.jpg",
"4000551_10.jpg",
"4000551_11.jpg",
"4000551_12.jpg",
"4000551_13.jpg",
"4000551_14.jpg",
"4000551_15.jpg"
] | Donald Trump running from the cops in front of Capitol Hill, running towards the camera, photorealistic, funny | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000551.mp4 | 3 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Donald Trump running from the cops in front of Capitol Hill, running towards the camera, photorealistic, funny\",\nall the frames of video are as 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"
}
] |
3003393 | [
"3003393_00.jpg",
"3003393_01.jpg",
"3003393_02.jpg",
"3003393_03.jpg",
"3003393_04.jpg",
"3003393_05.jpg",
"3003393_06.jpg",
"3003393_07.jpg",
"3003393_08.jpg",
"3003393_09.jpg",
"3003393_10.jpg",
"3003393_11.jpg",
"3003393_12.jpg",
"3003393_13.jpg",
"3003393_14.jpg",
"3003393_15.jpg"
] | a container vessel is underway in encountering heavy weather on open sea, this Vessel has dark blue hull, hiper realistic, cinematic, 8k, canon uhd | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3003393.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 container vessel is underway in encountering heavy weather on open sea, this Vessel has dark blue hull, hiper realistic, cinematic, 8k, canon uhd\",\nall the frames of video are as 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"
}
] |
0000419 | [
"0000419_00.jpg",
"0000419_01.jpg",
"0000419_02.jpg",
"0000419_03.jpg",
"0000419_04.jpg",
"0000419_05.jpg",
"0000419_06.jpg",
"0000419_07.jpg",
"0000419_08.jpg",
"0000419_09.jpg",
"0000419_10.jpg",
"0000419_11.jpg",
"0000419_12.jpg",
"0000419_13.jpg",
"0000419_14.jpg",
"0000419_15.jpg",
"0000419_16.jpg",
"0000419_17.jpg",
"0000419_18.jpg",
"0000419_19.jpg",
"0000419_20.jpg",
"0000419_21.jpg",
"0000419_22.jpg",
"0000419_23.jpg"
] | a close up of a bullet zooming through the air, MATRIX, REALISTIC, ACTION, MOVIE | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000419.mp4 | 3 | 3 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a close up of a bullet zooming through the air, MATRIX, REALISTIC, ACTION, MOVIE\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
8000420 | [
"8000420_00.jpg",
"8000420_01.jpg",
"8000420_02.jpg",
"8000420_03.jpg",
"8000420_04.jpg",
"8000420_05.jpg",
"8000420_06.jpg",
"8000420_07.jpg",
"8000420_08.jpg",
"8000420_09.jpg",
"8000420_10.jpg",
"8000420_11.jpg",
"8000420_12.jpg",
"8000420_13.jpg",
"8000420_14.jpg",
"8000420_15.jpg",
"8000420_16.jpg",
"8000420_17.jpg",
"8000420_18.jpg",
"8000420_19.jpg",
"8000420_20.jpg",
"8000420_21.jpg",
"8000420_22.jpg",
"8000420_23.jpg"
] | creates hyper realistic image of a mature woman in sexy clothing | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000420.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 \"creates hyper realistic image of a mature woman in sexy clothing\",\nall the 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"
}
] |
4000079 | [
"4000079_00.jpg",
"4000079_01.jpg",
"4000079_02.jpg",
"4000079_03.jpg",
"4000079_04.jpg",
"4000079_05.jpg",
"4000079_06.jpg",
"4000079_07.jpg",
"4000079_08.jpg",
"4000079_09.jpg",
"4000079_10.jpg",
"4000079_11.jpg",
"4000079_12.jpg",
"4000079_13.jpg",
"4000079_14.jpg",
"4000079_15.jpg"
] | Musician playing an instrument on Mars | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000079.mp4 | 2 | 1 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Musician playing an instrument on Mars\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6004405 | [
"6004405_00.jpg",
"6004405_01.jpg",
"6004405_02.jpg",
"6004405_03.jpg",
"6004405_04.jpg",
"6004405_05.jpg",
"6004405_06.jpg",
"6004405_07.jpg",
"6004405_08.jpg",
"6004405_09.jpg",
"6004405_10.jpg",
"6004405_11.jpg",
"6004405_12.jpg",
"6004405_13.jpg",
"6004405_14.jpg",
"6004405_15.jpg"
] | A scene of a cliff at the ocean which is around 15m high on it a person wich is small compared to the cliff and the big city in the background, during a sunset, everything in the Style of the Artist Hiroshi Nagai | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004405.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 \"A scene of a cliff at the ocean which is around 15m high on it a person wich is small compared to the cliff and the big city in the background, during a sunset, everything in the Style of the Artist Hiroshi Nagai\",\nall the frames of video are as 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"
}
] |
9000964 | [
"9000964_00.jpg",
"9000964_01.jpg",
"9000964_02.jpg",
"9000964_03.jpg",
"9000964_04.jpg",
"9000964_05.jpg",
"9000964_06.jpg",
"9000964_07.jpg",
"9000964_08.jpg",
"9000964_09.jpg",
"9000964_10.jpg",
"9000964_11.jpg",
"9000964_12.jpg",
"9000964_13.jpg",
"9000964_14.jpg",
"9000964_15.jpg",
"9000964_16.jpg",
"9000964_17.jpg",
"9000964_18.jpg",
"9000964_19.jpg",
"9000964_20.jpg",
"9000964_21.jpg",
"9000964_22.jpg",
"9000964_23.jpg"
] | drone shot of a bunch of Super Models with blond braide hair running on the beach 8k ar 16:9 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000964.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 \"drone shot of a bunch of Super Models with blond braide hair running on the beach 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> <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"
}
] |
8003409 | [
"8003409_00.jpg",
"8003409_01.jpg",
"8003409_02.jpg",
"8003409_03.jpg",
"8003409_04.jpg",
"8003409_05.jpg",
"8003409_06.jpg",
"8003409_07.jpg",
"8003409_08.jpg",
"8003409_09.jpg",
"8003409_10.jpg",
"8003409_11.jpg",
"8003409_12.jpg",
"8003409_13.jpg",
"8003409_14.jpg",
"8003409_15.jpg",
"8003409_16.jpg",
"8003409_17.jpg",
"8003409_18.jpg",
"8003409_19.jpg",
"8003409_20.jpg",
"8003409_21.jpg",
"8003409_22.jpg",
"8003409_23.jpg"
] | female kid in blue dress dancing | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003409.mp4 | 1 | 2 | 2 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"female kid in blue dress dancing\",\nall the 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: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
s000176 | [
"s000176_00.jpg",
"s000176_01.jpg",
"s000176_02.jpg",
"s000176_03.jpg",
"s000176_04.jpg",
"s000176_05.jpg",
"s000176_06.jpg",
"s000176_07.jpg",
"s000176_08.jpg",
"s000176_09.jpg",
"s000176_10.jpg",
"s000176_11.jpg",
"s000176_12.jpg",
"s000176_13.jpg",
"s000176_14.jpg",
"s000176_15.jpg",
"s000176_16.jpg",
"s000176_17.jpg",
"s000176_18.jpg",
"s000176_19.jpg",
"s000176_20.jpg",
"s000176_21.jpg",
"s000176_22.jpg",
"s000176_23.jpg"
] | villagers are getting worried from boy | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000176.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 \"villagers are getting worried from boy\",\nall the 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"
}
] |
2001517 | [
"2001517_00.jpg",
"2001517_01.jpg",
"2001517_02.jpg",
"2001517_03.jpg",
"2001517_04.jpg",
"2001517_05.jpg",
"2001517_06.jpg",
"2001517_07.jpg",
"2001517_08.jpg",
"2001517_09.jpg",
"2001517_10.jpg",
"2001517_11.jpg",
"2001517_12.jpg",
"2001517_13.jpg",
"2001517_14.jpg",
"2001517_15.jpg"
] | betty white walks into the room and smiles, 3d, realistic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001517.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 \"betty white walks into the room and smiles, 3d, 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: 3\n"
}
] |
2003603 | [
"2003603_00.jpg",
"2003603_01.jpg",
"2003603_02.jpg",
"2003603_03.jpg",
"2003603_04.jpg",
"2003603_05.jpg",
"2003603_06.jpg",
"2003603_07.jpg",
"2003603_08.jpg",
"2003603_09.jpg",
"2003603_10.jpg",
"2003603_11.jpg",
"2003603_12.jpg",
"2003603_13.jpg",
"2003603_14.jpg",
"2003603_15.jpg"
] | The revolution begins, the peasants rise up against the government, they are strong but unarmed | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003603.mp4 | 3 | 3 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The revolution begins, the peasants rise up against the government, they are strong but unarmed\",\nall the frames of video are as 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"
}
] |
0002121 | [
"0002121_00.jpg",
"0002121_01.jpg",
"0002121_02.jpg",
"0002121_03.jpg",
"0002121_04.jpg",
"0002121_05.jpg",
"0002121_06.jpg",
"0002121_07.jpg",
"0002121_08.jpg",
"0002121_09.jpg",
"0002121_10.jpg",
"0002121_11.jpg",
"0002121_12.jpg",
"0002121_13.jpg",
"0002121_14.jpg",
"0002121_15.jpg",
"0002121_16.jpg",
"0002121_17.jpg",
"0002121_18.jpg",
"0002121_19.jpg",
"0002121_20.jpg",
"0002121_21.jpg",
"0002121_22.jpg",
"0002121_23.jpg"
] | A Beautiful girl wearing a Indian traditional dress | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002121.mp4 | 2 | 3 | 1 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A Beautiful girl wearing a Indian traditional dress\",\nall the 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"
}
] |
s000576 | [
"s000576_00.jpg",
"s000576_01.jpg",
"s000576_02.jpg",
"s000576_03.jpg",
"s000576_04.jpg",
"s000576_05.jpg",
"s000576_06.jpg",
"s000576_07.jpg",
"s000576_08.jpg",
"s000576_09.jpg",
"s000576_10.jpg",
"s000576_11.jpg",
"s000576_12.jpg",
"s000576_13.jpg",
"s000576_14.jpg",
"s000576_15.jpg",
"s000576_16.jpg",
"s000576_17.jpg",
"s000576_18.jpg",
"s000576_19.jpg"
] | Create a video of the young IA anime sitting in a brown office with a computer and some notebooks on top of him and an appropriate background, explaining a product to the camera. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000576.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 \"Create a video of the young IA anime sitting in a brown office with a computer and some notebooks on top of him and an appropriate background, explaining a product to the camera.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
2002758 | [
"2002758_00.jpg",
"2002758_01.jpg",
"2002758_02.jpg",
"2002758_03.jpg",
"2002758_04.jpg",
"2002758_05.jpg",
"2002758_06.jpg",
"2002758_07.jpg",
"2002758_08.jpg",
"2002758_09.jpg",
"2002758_10.jpg",
"2002758_11.jpg",
"2002758_12.jpg",
"2002758_13.jpg",
"2002758_14.jpg",
"2002758_15.jpg"
] | create an image of wildlife in the savanna | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002758.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 \"create an image of wildlife in the savanna\",\nall the frames of video are as 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"
}
] |
2002626 | [
"2002626_00.jpg",
"2002626_01.jpg",
"2002626_02.jpg",
"2002626_03.jpg",
"2002626_04.jpg",
"2002626_05.jpg",
"2002626_06.jpg",
"2002626_07.jpg",
"2002626_08.jpg",
"2002626_09.jpg",
"2002626_10.jpg",
"2002626_11.jpg",
"2002626_12.jpg",
"2002626_13.jpg",
"2002626_14.jpg",
"2002626_15.jpg"
] | Yoon Suk Yeol (born 18 December 1960) is a South Korean politician who has been serving as the 13th and current President of South Korea since 2022. on road cycle | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002626.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 \"Yoon Suk Yeol (born 18 December 1960) is a South Korean politician who has been serving as the 13th and current President of South Korea since 2022. on road cycle\",\nall the frames of video are as 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"
}
] |
6004795 | [
"6004795_00.jpg",
"6004795_01.jpg",
"6004795_02.jpg",
"6004795_03.jpg",
"6004795_04.jpg",
"6004795_05.jpg",
"6004795_06.jpg",
"6004795_07.jpg",
"6004795_08.jpg",
"6004795_09.jpg",
"6004795_10.jpg",
"6004795_11.jpg",
"6004795_12.jpg",
"6004795_13.jpg",
"6004795_14.jpg",
"6004795_15.jpg"
] | Dive into the world of smart home design! Know how our products are organically used for different styles in the interior, adding a touch of modernity to your home. Scroll through to get inspired, cinematic,8k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004795.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 \"Dive into the world of smart home design! Know how our products are organically used for different styles in the interior, adding a touch of modernity to your home. Scroll through to get inspired, cinematic,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: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3001000 | [
"3001000_00.jpg",
"3001000_01.jpg",
"3001000_02.jpg",
"3001000_03.jpg",
"3001000_04.jpg",
"3001000_05.jpg",
"3001000_06.jpg",
"3001000_07.jpg",
"3001000_08.jpg",
"3001000_09.jpg",
"3001000_10.jpg",
"3001000_11.jpg",
"3001000_12.jpg",
"3001000_13.jpg",
"3001000_14.jpg",
"3001000_15.jpg"
] | pink astronaut running overwhelmed closeup on helmet | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001000.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 \"pink astronaut running overwhelmed closeup on helmet\",\nall the frames of video are as 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"
}
] |
4000171 | [
"4000171_00.jpg",
"4000171_01.jpg",
"4000171_02.jpg",
"4000171_03.jpg",
"4000171_04.jpg",
"4000171_05.jpg",
"4000171_06.jpg",
"4000171_07.jpg",
"4000171_08.jpg",
"4000171_09.jpg",
"4000171_10.jpg",
"4000171_11.jpg",
"4000171_12.jpg",
"4000171_13.jpg",
"4000171_14.jpg",
"4000171_15.jpg"
] | an historical japanese faces in 1990 in color, gta art style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000171.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 \"an historical japanese faces in 1990 in color, gta art style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
8002760 | [
"8002760_00.jpg",
"8002760_01.jpg",
"8002760_02.jpg",
"8002760_03.jpg",
"8002760_04.jpg",
"8002760_05.jpg",
"8002760_06.jpg",
"8002760_07.jpg",
"8002760_08.jpg",
"8002760_09.jpg",
"8002760_10.jpg",
"8002760_11.jpg",
"8002760_12.jpg",
"8002760_13.jpg",
"8002760_14.jpg",
"8002760_15.jpg",
"8002760_16.jpg",
"8002760_17.jpg",
"8002760_18.jpg",
"8002760_19.jpg",
"8002760_20.jpg",
"8002760_21.jpg",
"8002760_22.jpg",
"8002760_23.jpg"
] | astronaut suit helmet made from felt fabric yarn and cardboard | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002760.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 \"astronaut suit helmet made from felt fabric yarn and cardboard\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
1002314 | [
"1002314_00.jpg",
"1002314_01.jpg",
"1002314_02.jpg",
"1002314_03.jpg",
"1002314_04.jpg",
"1002314_05.jpg",
"1002314_06.jpg",
"1002314_07.jpg",
"1002314_08.jpg",
"1002314_09.jpg",
"1002314_10.jpg",
"1002314_11.jpg",
"1002314_12.jpg",
"1002314_13.jpg",
"1002314_14.jpg",
"1002314_15.jpg"
] | Tracking shot through a server room cenematic 8k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002314.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 \"Tracking shot through a server room cenematic 8k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0005772 | [
"0005772_00.jpg",
"0005772_01.jpg",
"0005772_02.jpg",
"0005772_03.jpg",
"0005772_04.jpg",
"0005772_05.jpg",
"0005772_06.jpg",
"0005772_07.jpg",
"0005772_08.jpg",
"0005772_09.jpg",
"0005772_10.jpg",
"0005772_11.jpg",
"0005772_12.jpg",
"0005772_13.jpg",
"0005772_14.jpg",
"0005772_15.jpg",
"0005772_16.jpg",
"0005772_17.jpg",
"0005772_18.jpg",
"0005772_19.jpg",
"0005772_20.jpg",
"0005772_21.jpg",
"0005772_22.jpg",
"0005772_23.jpg"
] | Pick a song with a good beat and rhythm that suits the dance style you have in mind. Ensure you have the right to use the music without copyright issues. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005772.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 \"Pick a song with a good beat and rhythm that suits the dance style you have in mind. Ensure you have the right to use the music without copyright issues.\",\nall the 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"
}
] |
9000389 | [
"9000389_00.jpg",
"9000389_01.jpg",
"9000389_02.jpg",
"9000389_03.jpg",
"9000389_04.jpg",
"9000389_05.jpg",
"9000389_06.jpg",
"9000389_07.jpg",
"9000389_08.jpg",
"9000389_09.jpg",
"9000389_10.jpg",
"9000389_11.jpg",
"9000389_12.jpg",
"9000389_13.jpg",
"9000389_14.jpg",
"9000389_15.jpg",
"9000389_16.jpg",
"9000389_17.jpg",
"9000389_18.jpg",
"9000389_19.jpg",
"9000389_20.jpg",
"9000389_21.jpg",
"9000389_22.jpg",
"9000389_23.jpg"
] | amy adams
dancing in the disco | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000389.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 \"amy adams\n dancing in the disco\",\nall the 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"
}
] |
7001981 | [
"7001981_00.jpg",
"7001981_01.jpg",
"7001981_02.jpg",
"7001981_03.jpg",
"7001981_04.jpg",
"7001981_05.jpg",
"7001981_06.jpg",
"7001981_07.jpg"
] | With a determined heart, lion set off on his journey. He padded through the tall grass, his tiny paws barely making a sound. The world beyond the meadow was vast and filled with wonders he had never seen before | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001981.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 \"With a determined heart, lion set off on his journey. He padded through the tall grass, his tiny paws barely making a sound. The world beyond the meadow was vast and filled with wonders he had never seen before\",\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"
}
] |
0001031 | [
"0001031_00.jpg",
"0001031_01.jpg",
"0001031_02.jpg",
"0001031_03.jpg",
"0001031_04.jpg",
"0001031_05.jpg",
"0001031_06.jpg",
"0001031_07.jpg",
"0001031_08.jpg",
"0001031_09.jpg",
"0001031_10.jpg",
"0001031_11.jpg",
"0001031_12.jpg",
"0001031_13.jpg",
"0001031_14.jpg",
"0001031_15.jpg",
"0001031_16.jpg",
"0001031_17.jpg",
"0001031_18.jpg",
"0001031_19.jpg",
"0001031_20.jpg",
"0001031_21.jpg",
"0001031_22.jpg",
"0001031_23.jpg"
] | On a sunny afternoon, a beautiful girl was walking by the West Lake. She was in a good mood with the beautiful scenery of the lake and mountains. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001031.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 \"On a sunny afternoon, a beautiful girl was walking by the West Lake. She was in a good mood with the beautiful scenery of the lake and mountains.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
3000325 | [
"3000325_00.jpg",
"3000325_01.jpg",
"3000325_02.jpg",
"3000325_03.jpg",
"3000325_04.jpg",
"3000325_05.jpg",
"3000325_06.jpg",
"3000325_07.jpg",
"3000325_08.jpg",
"3000325_09.jpg",
"3000325_10.jpg",
"3000325_11.jpg",
"3000325_12.jpg",
"3000325_13.jpg",
"3000325_14.jpg",
"3000325_15.jpg"
] | Generate an image of a young woman with blond hair sitting alone in her dimly lit bedroom furnished in steampunk decore. She is almostnaked, with tears streaming down her face. Her body is showing a nice tone. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000325.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 \"Generate an image of a young woman with blond hair sitting alone in her dimly lit bedroom furnished in steampunk decore. She is almostnaked, with tears streaming down her face. Her body is showing a nice tone.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
8000626 | [
"8000626_00.jpg",
"8000626_01.jpg",
"8000626_02.jpg",
"8000626_03.jpg",
"8000626_04.jpg",
"8000626_05.jpg",
"8000626_06.jpg",
"8000626_07.jpg",
"8000626_08.jpg",
"8000626_09.jpg",
"8000626_10.jpg",
"8000626_11.jpg",
"8000626_12.jpg",
"8000626_13.jpg",
"8000626_14.jpg",
"8000626_15.jpg",
"8000626_16.jpg",
"8000626_17.jpg",
"8000626_18.jpg",
"8000626_19.jpg",
"8000626_20.jpg",
"8000626_21.jpg",
"8000626_22.jpg",
"8000626_23.jpg"
] | make linear space with early 2000s image quality | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000626.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 \"make linear space with early 2000s image quality\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
4004925 | [
"4004925_00.jpg",
"4004925_01.jpg",
"4004925_02.jpg",
"4004925_03.jpg",
"4004925_04.jpg",
"4004925_05.jpg",
"4004925_06.jpg",
"4004925_07.jpg",
"4004925_08.jpg",
"4004925_09.jpg",
"4004925_10.jpg",
"4004925_11.jpg",
"4004925_12.jpg",
"4004925_13.jpg",
"4004925_14.jpg",
"4004925_15.jpg"
] | The tooth arrives in a lively school classroom, teaching kids about brushing teeth and maintaining oral hygiene. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004925.mp4 | 3 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The tooth arrives in a lively school classroom, teaching kids about brushing teeth and maintaining oral hygiene.\",\nall the frames of video are as 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"
}
] |
5000268 | [
"5000268_00.jpg",
"5000268_01.jpg",
"5000268_02.jpg",
"5000268_03.jpg",
"5000268_04.jpg",
"5000268_05.jpg",
"5000268_06.jpg",
"5000268_07.jpg",
"5000268_08.jpg",
"5000268_09.jpg",
"5000268_10.jpg",
"5000268_11.jpg",
"5000268_12.jpg",
"5000268_13.jpg",
"5000268_14.jpg",
"5000268_15.jpg"
] | vaporwave on a crt tv, perfect loop | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000268.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 \"vaporwave on a crt tv, perfect loop\",\nall the frames of video are as 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"
}
] |
7001041 | [
"7001041_00.jpg",
"7001041_01.jpg",
"7001041_02.jpg",
"7001041_03.jpg",
"7001041_04.jpg",
"7001041_05.jpg",
"7001041_06.jpg",
"7001041_07.jpg"
] | a live audiance holding thier phones up with flash lights on Message: evyatar (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001041.mp4 | 2 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a live audiance holding thier phones up with flash lights on Message: evyatar (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2001658 | [
"2001658_00.jpg",
"2001658_01.jpg",
"2001658_02.jpg",
"2001658_03.jpg",
"2001658_04.jpg",
"2001658_05.jpg",
"2001658_06.jpg",
"2001658_07.jpg",
"2001658_08.jpg",
"2001658_09.jpg",
"2001658_10.jpg",
"2001658_11.jpg",
"2001658_12.jpg",
"2001658_13.jpg",
"2001658_14.jpg",
"2001658_15.jpg"
] | a moving ent in a huge wood, photorealistic, highest quality, exquisite details | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001658.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a moving ent in a huge wood, photorealistic, highest quality, exquisite details\",\nall the frames of video are as 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"
}
] |
5001716 | [
"5001716_00.jpg",
"5001716_01.jpg",
"5001716_02.jpg",
"5001716_03.jpg",
"5001716_04.jpg",
"5001716_05.jpg",
"5001716_06.jpg",
"5001716_07.jpg",
"5001716_08.jpg",
"5001716_09.jpg",
"5001716_10.jpg",
"5001716_11.jpg",
"5001716_12.jpg",
"5001716_13.jpg",
"5001716_14.jpg",
"5001716_15.jpg"
] | an enticing logo for the online magazine Globala Perspektiv | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001716.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 \"an enticing logo for the online magazine Globala Perspektiv\",\nall the frames of video are as 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"
}
] |