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
|
---|---|---|---|---|---|---|---|---|---|
7000796 | [
"7000796_00.jpg",
"7000796_01.jpg",
"7000796_02.jpg",
"7000796_03.jpg",
"7000796_04.jpg",
"7000796_05.jpg",
"7000796_06.jpg",
"7000796_07.jpg"
] | a man standing in the center of the frame and in background american city skyline | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000796.mp4 | 2 | 3 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a man standing in the center of the frame and in background american city skyline\",\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: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6003916 | [
"6003916_00.jpg",
"6003916_01.jpg",
"6003916_02.jpg",
"6003916_03.jpg",
"6003916_04.jpg",
"6003916_05.jpg",
"6003916_06.jpg",
"6003916_07.jpg",
"6003916_08.jpg",
"6003916_09.jpg",
"6003916_10.jpg",
"6003916_11.jpg",
"6003916_12.jpg",
"6003916_13.jpg",
"6003916_14.jpg",
"6003916_15.jpg"
] | a meadow with a breeze. deer graze | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003916.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 meadow with a breeze. deer graze\",\nall the frames of video are as 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"
}
] |
6003383 | [
"6003383_00.jpg",
"6003383_01.jpg",
"6003383_02.jpg",
"6003383_03.jpg",
"6003383_04.jpg",
"6003383_05.jpg",
"6003383_06.jpg",
"6003383_07.jpg",
"6003383_08.jpg",
"6003383_09.jpg",
"6003383_10.jpg",
"6003383_11.jpg",
"6003383_12.jpg",
"6003383_13.jpg",
"6003383_14.jpg",
"6003383_15.jpg"
] | a church congregation dancing from the holy spirit | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003383.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a church congregation dancing from the holy spirit\",\nall the frames of video are as 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"
}
] |
2004480 | [
"2004480_00.jpg",
"2004480_01.jpg",
"2004480_02.jpg",
"2004480_03.jpg",
"2004480_04.jpg",
"2004480_05.jpg",
"2004480_06.jpg",
"2004480_07.jpg",
"2004480_08.jpg",
"2004480_09.jpg",
"2004480_10.jpg",
"2004480_11.jpg",
"2004480_12.jpg",
"2004480_13.jpg",
"2004480_14.jpg",
"2004480_15.jpg"
] | russian babushkas on skateboard in the mountains road, sunset, sun rays, hyper realistic, depth of field, 4K, 85mm 1,8f, film grain, ultra sharp, 16:9, zoom in, motion 4 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004480.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 \"russian babushkas on skateboard in the mountains road, sunset, sun rays, hyper realistic, depth of field, 4K, 85mm 1,8f, film grain, ultra sharp, 16:9, zoom in, motion 4\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
1006795 | [
"1006795_00.jpg",
"1006795_01.jpg",
"1006795_02.jpg",
"1006795_03.jpg",
"1006795_04.jpg",
"1006795_05.jpg",
"1006795_06.jpg",
"1006795_07.jpg",
"1006795_08.jpg",
"1006795_09.jpg",
"1006795_10.jpg",
"1006795_11.jpg",
"1006795_12.jpg",
"1006795_13.jpg",
"1006795_14.jpg",
"1006795_15.jpg"
] | a woman walking in the rain with umberella with lush green background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006795.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a woman walking in the rain with umberella with lush green background\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
6004107 | [
"6004107_00.jpg",
"6004107_01.jpg",
"6004107_02.jpg",
"6004107_03.jpg",
"6004107_04.jpg",
"6004107_05.jpg",
"6004107_06.jpg",
"6004107_07.jpg",
"6004107_08.jpg",
"6004107_09.jpg",
"6004107_10.jpg",
"6004107_11.jpg",
"6004107_12.jpg",
"6004107_13.jpg",
"6004107_14.jpg",
"6004107_15.jpg"
] | create a finished logo , 2k image , with text Fire and search theme in mind | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004107.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 \"create a finished logo , 2k image , with text Fire and search theme in mind\",\nall the frames of video are as 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"
}
] |
0002539 | [
"0002539_00.jpg",
"0002539_01.jpg",
"0002539_02.jpg",
"0002539_03.jpg",
"0002539_04.jpg",
"0002539_05.jpg",
"0002539_06.jpg",
"0002539_07.jpg",
"0002539_08.jpg",
"0002539_09.jpg",
"0002539_10.jpg",
"0002539_11.jpg",
"0002539_12.jpg",
"0002539_13.jpg",
"0002539_14.jpg",
"0002539_15.jpg",
"0002539_16.jpg",
"0002539_17.jpg",
"0002539_18.jpg",
"0002539_19.jpg",
"0002539_20.jpg",
"0002539_21.jpg",
"0002539_22.jpg",
"0002539_23.jpg"
] | Husky dogs chasing and running on the prairie, aerial view | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002539.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 \"Husky dogs chasing and running on the prairie, aerial view\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
8000760 | [
"8000760_00.jpg",
"8000760_01.jpg",
"8000760_02.jpg",
"8000760_03.jpg",
"8000760_04.jpg",
"8000760_05.jpg",
"8000760_06.jpg",
"8000760_07.jpg",
"8000760_08.jpg",
"8000760_09.jpg",
"8000760_10.jpg",
"8000760_11.jpg",
"8000760_12.jpg",
"8000760_13.jpg",
"8000760_14.jpg",
"8000760_15.jpg",
"8000760_16.jpg",
"8000760_17.jpg",
"8000760_18.jpg",
"8000760_19.jpg",
"8000760_20.jpg",
"8000760_21.jpg",
"8000760_22.jpg",
"8000760_23.jpg"
] | 35mm footage of downtown Detroit during a snowy night in December 1979 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000760.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 \"35mm footage of downtown Detroit during a snowy night in December 1979\",\nall the 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"
}
] |
9000498 | [
"9000498_00.jpg",
"9000498_01.jpg",
"9000498_02.jpg",
"9000498_03.jpg",
"9000498_04.jpg",
"9000498_05.jpg",
"9000498_06.jpg",
"9000498_07.jpg",
"9000498_08.jpg",
"9000498_09.jpg",
"9000498_10.jpg",
"9000498_11.jpg",
"9000498_12.jpg",
"9000498_13.jpg",
"9000498_14.jpg",
"9000498_15.jpg",
"9000498_16.jpg",
"9000498_17.jpg",
"9000498_18.jpg",
"9000498_19.jpg",
"9000498_20.jpg",
"9000498_21.jpg",
"9000498_22.jpg",
"9000498_23.jpg"
] | unreal engine. starwars movie. storm trooper heavy combat on the road. ruins of tatooine desert scifi town event wars. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000498.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 \"unreal engine. starwars movie. storm trooper heavy combat on the road. ruins of tatooine desert scifi town event wars.\",\nall the 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"
}
] |
6001286 | [
"6001286_00.jpg",
"6001286_01.jpg",
"6001286_02.jpg",
"6001286_03.jpg",
"6001286_04.jpg",
"6001286_05.jpg",
"6001286_06.jpg",
"6001286_07.jpg",
"6001286_08.jpg",
"6001286_09.jpg",
"6001286_10.jpg",
"6001286_11.jpg",
"6001286_12.jpg",
"6001286_13.jpg",
"6001286_14.jpg",
"6001286_15.jpg"
] | Goku, Blazing Fire, Hair Flowing, Glowing eyes | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001286.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 \"Goku, Blazing Fire, Hair Flowing, Glowing eyes\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
7000249 | [
"7000249_00.jpg",
"7000249_01.jpg",
"7000249_02.jpg",
"7000249_03.jpg",
"7000249_04.jpg",
"7000249_05.jpg",
"7000249_06.jpg",
"7000249_07.jpg"
] | a bicycle rides on a village road | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000249.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 bicycle rides on a village road\",\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"
}
] |
0004278 | [
"0004278_00.jpg",
"0004278_01.jpg",
"0004278_02.jpg",
"0004278_03.jpg",
"0004278_04.jpg",
"0004278_05.jpg",
"0004278_06.jpg",
"0004278_07.jpg",
"0004278_08.jpg",
"0004278_09.jpg",
"0004278_10.jpg",
"0004278_11.jpg",
"0004278_12.jpg",
"0004278_13.jpg",
"0004278_14.jpg",
"0004278_15.jpg",
"0004278_16.jpg",
"0004278_17.jpg",
"0004278_18.jpg",
"0004278_19.jpg",
"0004278_20.jpg",
"0004278_21.jpg",
"0004278_22.jpg",
"0004278_23.jpg"
] | The Mysterious Well: Shitala Vilas is known for a well that is said to have magical properties. It is believed that anyone who looks into the well can catch a glimpse of their past or future. As more villagers use the well, they discover unsettling visions that hint at a shared fate. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004278.mp4 | 2 | 3 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The Mysterious Well: Shitala Vilas is known for a well that is said to have magical properties. It is believed that anyone who looks into the well can catch a glimpse of their past or future. As more villagers use the well, they discover unsettling visions that hint at a shared fate.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
3001070 | [
"3001070_00.jpg",
"3001070_01.jpg",
"3001070_02.jpg",
"3001070_03.jpg",
"3001070_04.jpg",
"3001070_05.jpg",
"3001070_06.jpg",
"3001070_07.jpg",
"3001070_08.jpg",
"3001070_09.jpg",
"3001070_10.jpg",
"3001070_11.jpg",
"3001070_12.jpg",
"3001070_13.jpg",
"3001070_14.jpg",
"3001070_15.jpg"
] | wide angle of heroic shot of city and mysterious sillouhette hooded feminine figure creature coming out of shadows, demonic cinematic lighting, crushed shadows and blue moonlight, yellow street lamps in the distance, high quality, 4K, | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001070.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 \"wide angle of heroic shot of city and mysterious sillouhette hooded feminine figure creature coming out of shadows, demonic cinematic lighting, crushed shadows and blue moonlight, yellow street lamps in the distance, high quality, 4K,\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
6001516 | [
"6001516_00.jpg",
"6001516_01.jpg",
"6001516_02.jpg",
"6001516_03.jpg",
"6001516_04.jpg",
"6001516_05.jpg",
"6001516_06.jpg",
"6001516_07.jpg",
"6001516_08.jpg",
"6001516_09.jpg",
"6001516_10.jpg",
"6001516_11.jpg",
"6001516_12.jpg",
"6001516_13.jpg",
"6001516_14.jpg",
"6001516_15.jpg"
] | A display show of beautiful female models. Cyberpunk, scifi 1990s film | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001516.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A display show of beautiful female models. Cyberpunk, scifi 1990s film\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
s000141 | [
"s000141_00.jpg",
"s000141_01.jpg",
"s000141_02.jpg",
"s000141_03.jpg",
"s000141_04.jpg",
"s000141_05.jpg",
"s000141_06.jpg",
"s000141_07.jpg",
"s000141_08.jpg",
"s000141_09.jpg",
"s000141_10.jpg",
"s000141_11.jpg",
"s000141_12.jpg",
"s000141_13.jpg",
"s000141_14.jpg",
"s000141_15.jpg",
"s000141_16.jpg",
"s000141_17.jpg",
"s000141_18.jpg",
"s000141_19.jpg"
] | Ensure that the child gets plenty of rest to allow the body to recover. A comfortable and quiet environment can promote better sleep and healing. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000141.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 \"Ensure that the child gets plenty of rest to allow the body to recover. A comfortable and quiet environment can promote better sleep and healing.\",\nall the 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"
}
] |
0002389 | [
"0002389_00.jpg",
"0002389_01.jpg",
"0002389_02.jpg",
"0002389_03.jpg",
"0002389_04.jpg",
"0002389_05.jpg",
"0002389_06.jpg",
"0002389_07.jpg",
"0002389_08.jpg",
"0002389_09.jpg",
"0002389_10.jpg",
"0002389_11.jpg",
"0002389_12.jpg",
"0002389_13.jpg",
"0002389_14.jpg",
"0002389_15.jpg",
"0002389_16.jpg",
"0002389_17.jpg",
"0002389_18.jpg",
"0002389_19.jpg",
"0002389_20.jpg",
"0002389_21.jpg",
"0002389_22.jpg",
"0002389_23.jpg"
] | greek man stoic strong marble statue blink left eye to camera | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002389.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 \"greek man stoic strong marble statue blink left eye to camera\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0006451 | [
"0006451_00.jpg",
"0006451_01.jpg",
"0006451_02.jpg",
"0006451_03.jpg",
"0006451_04.jpg",
"0006451_05.jpg",
"0006451_06.jpg",
"0006451_07.jpg",
"0006451_08.jpg",
"0006451_09.jpg",
"0006451_10.jpg",
"0006451_11.jpg",
"0006451_12.jpg",
"0006451_13.jpg",
"0006451_14.jpg",
"0006451_15.jpg",
"0006451_16.jpg",
"0006451_17.jpg",
"0006451_18.jpg",
"0006451_19.jpg",
"0006451_20.jpg",
"0006451_21.jpg",
"0006451_22.jpg",
"0006451_23.jpg"
] | realistic video of people relaxing at beach, then a shark jumps out of the water halfway through and surprises everyone | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006451.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 video of people relaxing at beach, then a shark jumps out of the water halfway through and surprises everyone\",\nall the 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"
}
] |
6001499 | [
"6001499_00.jpg",
"6001499_01.jpg",
"6001499_02.jpg",
"6001499_03.jpg",
"6001499_04.jpg",
"6001499_05.jpg",
"6001499_06.jpg",
"6001499_07.jpg",
"6001499_08.jpg",
"6001499_09.jpg",
"6001499_10.jpg",
"6001499_11.jpg",
"6001499_12.jpg",
"6001499_13.jpg",
"6001499_14.jpg",
"6001499_15.jpg"
] | Thanos collecting programming languages instead of infinity stones, for example Kotlin, Swift, python, java, JavaScript | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001499.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 \"Thanos collecting programming languages instead of infinity stones, for example Kotlin, Swift, python, java, JavaScript\",\nall the frames of video are as 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"
}
] |
4001382 | [
"4001382_00.jpg",
"4001382_01.jpg",
"4001382_02.jpg",
"4001382_03.jpg",
"4001382_04.jpg",
"4001382_05.jpg",
"4001382_06.jpg",
"4001382_07.jpg",
"4001382_08.jpg",
"4001382_09.jpg",
"4001382_10.jpg",
"4001382_11.jpg",
"4001382_12.jpg",
"4001382_13.jpg",
"4001382_14.jpg",
"4001382_15.jpg"
] | super 8mm film footage, hand touch the magic symbol | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001382.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 \"super 8mm film footage, hand touch the magic symbol\",\nall the frames of video are as 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"
}
] |
s000164 | [
"s000164_00.jpg",
"s000164_01.jpg",
"s000164_02.jpg",
"s000164_03.jpg",
"s000164_04.jpg",
"s000164_05.jpg",
"s000164_06.jpg",
"s000164_07.jpg",
"s000164_08.jpg",
"s000164_09.jpg",
"s000164_10.jpg",
"s000164_11.jpg",
"s000164_12.jpg",
"s000164_13.jpg",
"s000164_14.jpg",
"s000164_15.jpg",
"s000164_16.jpg",
"s000164_17.jpg",
"s000164_18.jpg",
"s000164_19.jpg",
"s000164_20.jpg",
"s000164_21.jpg",
"s000164_22.jpg",
"s000164_23.jpg"
] | a dog playing in park | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000164.mp4 | 4 | 4 | 4 | 0 | 4 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a dog playing in park\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n"
}
] |
1000787 | [
"1000787_00.jpg",
"1000787_01.jpg",
"1000787_02.jpg",
"1000787_03.jpg",
"1000787_04.jpg",
"1000787_05.jpg",
"1000787_06.jpg",
"1000787_07.jpg",
"1000787_08.jpg",
"1000787_09.jpg",
"1000787_10.jpg",
"1000787_11.jpg",
"1000787_12.jpg",
"1000787_13.jpg",
"1000787_14.jpg",
"1000787_15.jpg"
] | Transformation of galaxies in space lasts for 10 seconds” | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000787.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 \"Transformation of galaxies in space lasts for 10 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: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1001244 | [
"1001244_00.jpg",
"1001244_01.jpg",
"1001244_02.jpg",
"1001244_03.jpg",
"1001244_04.jpg",
"1001244_05.jpg",
"1001244_06.jpg",
"1001244_07.jpg",
"1001244_08.jpg",
"1001244_09.jpg",
"1001244_10.jpg",
"1001244_11.jpg",
"1001244_12.jpg",
"1001244_13.jpg",
"1001244_14.jpg",
"1001244_15.jpg"
] | Furthermore, the integration of artificial intelligence and neural interfaces poses a formidable riddle in understanding and emulating the intricate operations of the human brain. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001244.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 \"Furthermore, the integration of artificial intelligence and neural interfaces poses a formidable riddle in understanding and emulating the intricate operations of the human brain.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2001286 | [
"2001286_00.jpg",
"2001286_01.jpg",
"2001286_02.jpg",
"2001286_03.jpg",
"2001286_04.jpg",
"2001286_05.jpg",
"2001286_06.jpg",
"2001286_07.jpg",
"2001286_08.jpg",
"2001286_09.jpg",
"2001286_10.jpg",
"2001286_11.jpg",
"2001286_12.jpg",
"2001286_13.jpg",
"2001286_14.jpg",
"2001286_15.jpg"
] | A pink teddy bear, move his ears and blink an eye | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001286.mp4 | 2 | 2 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A pink teddy bear, move his ears and blink an eye\",\nall the frames of video are as 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"
}
] |
2001703 | [
"2001703_00.jpg",
"2001703_01.jpg",
"2001703_02.jpg",
"2001703_03.jpg",
"2001703_04.jpg",
"2001703_05.jpg",
"2001703_06.jpg",
"2001703_07.jpg",
"2001703_08.jpg",
"2001703_09.jpg",
"2001703_10.jpg",
"2001703_11.jpg",
"2001703_12.jpg",
"2001703_13.jpg",
"2001703_14.jpg",
"2001703_15.jpg"
] | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001703.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 \"\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
|
9000266 | [
"9000266_00.jpg",
"9000266_01.jpg",
"9000266_02.jpg",
"9000266_03.jpg",
"9000266_04.jpg",
"9000266_05.jpg",
"9000266_06.jpg",
"9000266_07.jpg",
"9000266_08.jpg",
"9000266_09.jpg",
"9000266_10.jpg",
"9000266_11.jpg",
"9000266_12.jpg",
"9000266_13.jpg",
"9000266_14.jpg",
"9000266_15.jpg",
"9000266_16.jpg",
"9000266_17.jpg",
"9000266_18.jpg",
"9000266_19.jpg",
"9000266_20.jpg",
"9000266_21.jpg",
"9000266_22.jpg",
"9000266_23.jpg"
] | The man crying in super realistic world looks like cyberpunk 3 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000266.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The man crying in super realistic world looks like cyberpunk 3\",\nall the 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"
}
] |
6000033 | [
"6000033_00.jpg",
"6000033_01.jpg",
"6000033_02.jpg",
"6000033_03.jpg",
"6000033_04.jpg",
"6000033_05.jpg",
"6000033_06.jpg",
"6000033_07.jpg",
"6000033_08.jpg",
"6000033_09.jpg",
"6000033_10.jpg",
"6000033_11.jpg",
"6000033_12.jpg",
"6000033_13.jpg",
"6000033_14.jpg",
"6000033_15.jpg"
] | raining on green mauntain near a house | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000033.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 \"raining on green mauntain near a house\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
s000033 | [
"s000033_00.jpg",
"s000033_01.jpg",
"s000033_02.jpg",
"s000033_03.jpg",
"s000033_04.jpg",
"s000033_05.jpg",
"s000033_06.jpg",
"s000033_07.jpg",
"s000033_08.jpg",
"s000033_09.jpg",
"s000033_10.jpg",
"s000033_11.jpg",
"s000033_12.jpg",
"s000033_13.jpg",
"s000033_14.jpg",
"s000033_15.jpg",
"s000033_16.jpg",
"s000033_17.jpg",
"s000033_18.jpg",
"s000033_19.jpg",
"s000033_20.jpg",
"s000033_21.jpg",
"s000033_22.jpg",
"s000033_23.jpg"
] | a baseball glove | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000033.mp4 | 4 | 2 | 4 | 0 | 4 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a baseball glove\",\nall the 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: 2\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n"
}
] |
6000478 | [
"6000478_00.jpg",
"6000478_01.jpg",
"6000478_02.jpg",
"6000478_03.jpg",
"6000478_04.jpg",
"6000478_05.jpg",
"6000478_06.jpg",
"6000478_07.jpg",
"6000478_08.jpg",
"6000478_09.jpg",
"6000478_10.jpg",
"6000478_11.jpg",
"6000478_12.jpg",
"6000478_13.jpg",
"6000478_14.jpg",
"6000478_15.jpg"
] | A strong Arab man from ancient times carrying a sword and muscular on a horse, with an army moving very quickly behind him 9:16 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000478.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 strong Arab man from ancient times carrying a sword and muscular on a horse, with an army moving very quickly behind him 9:16\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3001048 | [
"3001048_00.jpg",
"3001048_01.jpg",
"3001048_02.jpg",
"3001048_03.jpg",
"3001048_04.jpg",
"3001048_05.jpg",
"3001048_06.jpg",
"3001048_07.jpg",
"3001048_08.jpg",
"3001048_09.jpg",
"3001048_10.jpg",
"3001048_11.jpg",
"3001048_12.jpg",
"3001048_13.jpg",
"3001048_14.jpg",
"3001048_15.jpg"
] | Green dog eating sausage in the desert | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001048.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 \"Green dog eating sausage in the desert\",\nall the frames of video are as 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"
}
] |
0002716 | [
"0002716_00.jpg",
"0002716_01.jpg",
"0002716_02.jpg",
"0002716_03.jpg",
"0002716_04.jpg",
"0002716_05.jpg",
"0002716_06.jpg",
"0002716_07.jpg",
"0002716_08.jpg",
"0002716_09.jpg",
"0002716_10.jpg",
"0002716_11.jpg",
"0002716_12.jpg",
"0002716_13.jpg",
"0002716_14.jpg",
"0002716_15.jpg",
"0002716_16.jpg",
"0002716_17.jpg",
"0002716_18.jpg",
"0002716_19.jpg",
"0002716_20.jpg",
"0002716_21.jpg",
"0002716_22.jpg",
"0002716_23.jpg"
] | A playful comparison between DreamFusion and everyday objects, like using it to summon a cup of coffee instead of making it. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002716.mp4 | 3 | 3 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A playful comparison between DreamFusion and everyday objects, like using it to summon a cup of coffee instead of making it.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
7003544 | [
"7003544_00.jpg",
"7003544_01.jpg",
"7003544_02.jpg",
"7003544_03.jpg",
"7003544_04.jpg",
"7003544_05.jpg",
"7003544_06.jpg",
"7003544_07.jpg"
] | vintage clock wall on a almond color wall. Zoom in on the clock, the hands of the clock are moving slowly. Mysterious atmosphere | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003544.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 \"vintage clock wall on a almond color wall. Zoom in on the clock, the hands of the clock are moving slowly. Mysterious atmosphere\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
8000022 | [
"8000022_00.jpg",
"8000022_01.jpg",
"8000022_02.jpg",
"8000022_03.jpg",
"8000022_04.jpg",
"8000022_05.jpg",
"8000022_06.jpg",
"8000022_07.jpg",
"8000022_08.jpg",
"8000022_09.jpg",
"8000022_10.jpg",
"8000022_11.jpg",
"8000022_12.jpg",
"8000022_13.jpg",
"8000022_14.jpg",
"8000022_15.jpg",
"8000022_16.jpg",
"8000022_17.jpg",
"8000022_18.jpg",
"8000022_19.jpg",
"8000022_20.jpg",
"8000022_21.jpg",
"8000022_22.jpg",
"8000022_23.jpg"
] | Make the animation express his determination to get the grapes and fox | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000022.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 \"Make the animation express his determination to get the grapes and fox\",\nall the 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"
}
] |
0006467 | [
"0006467_00.jpg",
"0006467_01.jpg",
"0006467_02.jpg",
"0006467_03.jpg",
"0006467_04.jpg",
"0006467_05.jpg",
"0006467_06.jpg",
"0006467_07.jpg",
"0006467_08.jpg",
"0006467_09.jpg",
"0006467_10.jpg",
"0006467_11.jpg",
"0006467_12.jpg",
"0006467_13.jpg",
"0006467_14.jpg",
"0006467_15.jpg",
"0006467_16.jpg",
"0006467_17.jpg",
"0006467_18.jpg",
"0006467_19.jpg",
"0006467_20.jpg",
"0006467_21.jpg",
"0006467_22.jpg",
"0006467_23.jpg"
] | tree waving in the wind, all hearts are following like leaves in the wind | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006467.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 \"tree waving in the wind, all hearts are following like leaves in the wind\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
2002713 | [
"2002713_00.jpg",
"2002713_01.jpg",
"2002713_02.jpg",
"2002713_03.jpg",
"2002713_04.jpg",
"2002713_05.jpg",
"2002713_06.jpg",
"2002713_07.jpg",
"2002713_08.jpg",
"2002713_09.jpg",
"2002713_10.jpg",
"2002713_11.jpg",
"2002713_12.jpg",
"2002713_13.jpg",
"2002713_14.jpg",
"2002713_15.jpg"
] | a bird flying over a snowy forest | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002713.mp4 | 2 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a bird flying over a snowy forest\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
4001955 | [
"4001955_00.jpg",
"4001955_01.jpg",
"4001955_02.jpg",
"4001955_03.jpg",
"4001955_04.jpg",
"4001955_05.jpg",
"4001955_06.jpg",
"4001955_07.jpg",
"4001955_08.jpg",
"4001955_09.jpg",
"4001955_10.jpg",
"4001955_11.jpg",
"4001955_12.jpg",
"4001955_13.jpg",
"4001955_14.jpg",
"4001955_15.jpg"
] | many elephant are playing with us in the jungle | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001955.mp4 | 3 | 3 | 2 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"many elephant are playing with us in the jungle\",\nall the frames of video are as 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: 1\n"
}
] |
5000958 | [
"5000958_00.jpg",
"5000958_01.jpg",
"5000958_02.jpg",
"5000958_03.jpg",
"5000958_04.jpg",
"5000958_05.jpg",
"5000958_06.jpg",
"5000958_07.jpg",
"5000958_08.jpg",
"5000958_09.jpg",
"5000958_10.jpg",
"5000958_11.jpg",
"5000958_12.jpg",
"5000958_13.jpg",
"5000958_14.jpg",
"5000958_15.jpg"
] | Generate a video of a graceful jellyfish floating in the water, still in 3d rendering cinematic view | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000958.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 \"Generate a video of a graceful jellyfish floating in the water, still in 3d rendering cinematic view\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
3005387 | [
"3005387_00.jpg",
"3005387_01.jpg",
"3005387_02.jpg",
"3005387_03.jpg",
"3005387_04.jpg",
"3005387_05.jpg",
"3005387_06.jpg",
"3005387_07.jpg",
"3005387_08.jpg",
"3005387_09.jpg",
"3005387_10.jpg",
"3005387_11.jpg",
"3005387_12.jpg",
"3005387_13.jpg",
"3005387_14.jpg",
"3005387_15.jpg"
] | the big high brick bridge, many bricks falling down breaking the structure of the bridge , animation | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005387.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 \"the big high brick bridge, many bricks falling down breaking the structure of the bridge , 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: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
6002927 | [
"6002927_00.jpg",
"6002927_01.jpg",
"6002927_02.jpg",
"6002927_03.jpg",
"6002927_04.jpg",
"6002927_05.jpg",
"6002927_06.jpg",
"6002927_07.jpg",
"6002927_08.jpg",
"6002927_09.jpg",
"6002927_10.jpg",
"6002927_11.jpg",
"6002927_12.jpg",
"6002927_13.jpg",
"6002927_14.jpg",
"6002927_15.jpg"
] | The American Museum of Natural History in New York City, iconic cultural institution, exhibits on natural history, dinosaur fossils, astronomy, and anthropology, historical architecture, educational programs, a hub of scientific exploration and learning in the heart of Manhattan. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002927.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The American Museum of Natural History in New York City, iconic cultural institution, exhibits on natural history, dinosaur fossils, astronomy, and anthropology, historical architecture, educational programs, a hub of scientific exploration and learning in the heart of Manhattan.\",\nall the frames of video are as 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"
}
] |
8003160 | [
"8003160_00.jpg",
"8003160_01.jpg",
"8003160_02.jpg",
"8003160_03.jpg",
"8003160_04.jpg",
"8003160_05.jpg",
"8003160_06.jpg",
"8003160_07.jpg",
"8003160_08.jpg",
"8003160_09.jpg",
"8003160_10.jpg",
"8003160_11.jpg",
"8003160_12.jpg",
"8003160_13.jpg",
"8003160_14.jpg",
"8003160_15.jpg",
"8003160_16.jpg",
"8003160_17.jpg",
"8003160_18.jpg",
"8003160_19.jpg",
"8003160_20.jpg",
"8003160_21.jpg",
"8003160_22.jpg",
"8003160_23.jpg"
] | an assortment of medieval weapons and armor, surrounding a trench in the dirt. Message: Nifty Craft (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003160.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"an assortment of medieval weapons and armor, surrounding a trench in the dirt. Message: Nifty Craft (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3002723 | [
"3002723_00.jpg",
"3002723_01.jpg",
"3002723_02.jpg",
"3002723_03.jpg",
"3002723_04.jpg",
"3002723_05.jpg",
"3002723_06.jpg",
"3002723_07.jpg",
"3002723_08.jpg",
"3002723_09.jpg",
"3002723_10.jpg",
"3002723_11.jpg",
"3002723_12.jpg",
"3002723_13.jpg",
"3002723_14.jpg",
"3002723_15.jpg"
] | hd no imperfection, highly detailed flying video of the center of eart in agharta | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002723.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 \"hd no imperfection, highly detailed flying video of the center of eart in agharta\",\nall the frames of video are as 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"
}
] |
0001444 | [
"0001444_00.jpg",
"0001444_01.jpg",
"0001444_02.jpg",
"0001444_03.jpg",
"0001444_04.jpg",
"0001444_05.jpg",
"0001444_06.jpg",
"0001444_07.jpg",
"0001444_08.jpg",
"0001444_09.jpg",
"0001444_10.jpg",
"0001444_11.jpg",
"0001444_12.jpg",
"0001444_13.jpg",
"0001444_14.jpg",
"0001444_15.jpg",
"0001444_16.jpg",
"0001444_17.jpg",
"0001444_18.jpg",
"0001444_19.jpg",
"0001444_20.jpg",
"0001444_21.jpg",
"0001444_22.jpg",
"0001444_23.jpg"
] | A jellyfish floating through the ocean, with bioluminescent tentacles | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001444.mp4 | 2 | 3 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A jellyfish floating through the ocean, with bioluminescent tentacles\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3004457 | [
"3004457_00.jpg",
"3004457_01.jpg",
"3004457_02.jpg",
"3004457_03.jpg",
"3004457_04.jpg",
"3004457_05.jpg",
"3004457_06.jpg",
"3004457_07.jpg",
"3004457_08.jpg",
"3004457_09.jpg",
"3004457_10.jpg",
"3004457_11.jpg",
"3004457_12.jpg",
"3004457_13.jpg",
"3004457_14.jpg",
"3004457_15.jpg"
] | a soldier cover wall in war and trying to survive,bullets,fires,walls bricks,particules | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004457.mp4 | 1 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a soldier cover wall in war and trying to survive,bullets,fires,walls bricks,particules\",\nall the frames of video are as 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: 3\n"
}
] |
7001878 | [
"7001878_00.jpg",
"7001878_01.jpg",
"7001878_02.jpg",
"7001878_03.jpg",
"7001878_04.jpg",
"7001878_05.jpg",
"7001878_06.jpg",
"7001878_07.jpg"
] | Afnan loved nature and the arts, and had a great talent for drawing beautiful paintings that expressed the beauty of Saudi Arabia, while Sama loved space and the stars, and she dreamed of seeing the sky sparkling with the colors of the homeland on this special day. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001878.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 \"Afnan loved nature and the arts, and had a great talent for drawing beautiful paintings that expressed the beauty of Saudi Arabia, while Sama loved space and the stars, and she dreamed of seeing the sky sparkling with the colors of the homeland on this special day.\",\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"
}
] |
1005785 | [
"1005785_00.jpg",
"1005785_01.jpg",
"1005785_02.jpg",
"1005785_03.jpg",
"1005785_04.jpg",
"1005785_05.jpg",
"1005785_06.jpg",
"1005785_07.jpg",
"1005785_08.jpg",
"1005785_09.jpg",
"1005785_10.jpg",
"1005785_11.jpg",
"1005785_12.jpg",
"1005785_13.jpg",
"1005785_14.jpg",
"1005785_15.jpg"
] | eldritch horror creature floating in the night starry sky, in dreamy style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005785.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 \"eldritch horror creature floating in the night starry sky, in dreamy 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"
}
] |
1002749 | [
"1002749_00.jpg",
"1002749_01.jpg",
"1002749_02.jpg",
"1002749_03.jpg",
"1002749_04.jpg",
"1002749_05.jpg",
"1002749_06.jpg",
"1002749_07.jpg",
"1002749_08.jpg",
"1002749_09.jpg",
"1002749_10.jpg",
"1002749_11.jpg",
"1002749_12.jpg",
"1002749_13.jpg",
"1002749_14.jpg",
"1002749_15.jpg"
] | standing beside a wet glass window | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002749.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 \"standing beside a wet glass window\",\nall the frames of video are as 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"
}
] |
7001980 | [
"7001980_00.jpg",
"7001980_01.jpg",
"7001980_02.jpg",
"7001980_03.jpg",
"7001980_04.jpg",
"7001980_05.jpg",
"7001980_06.jpg",
"7001980_07.jpg"
] | animate big picture of an oak tree | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001980.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 \"animate big picture of an oak tree\",\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"
}
] |
2002474 | [
"2002474_00.jpg",
"2002474_01.jpg",
"2002474_02.jpg",
"2002474_03.jpg",
"2002474_04.jpg",
"2002474_05.jpg",
"2002474_06.jpg",
"2002474_07.jpg",
"2002474_08.jpg",
"2002474_09.jpg",
"2002474_10.jpg",
"2002474_11.jpg",
"2002474_12.jpg",
"2002474_13.jpg",
"2002474_14.jpg",
"2002474_15.jpg"
] | Little Star takes its children on a dream journey together | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002474.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 \"Little Star takes its children on a dream journey together\",\nall the frames of video are as 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"
}
] |
5001981 | [
"5001981_00.jpg",
"5001981_01.jpg",
"5001981_02.jpg",
"5001981_03.jpg",
"5001981_04.jpg",
"5001981_05.jpg",
"5001981_06.jpg",
"5001981_07.jpg",
"5001981_08.jpg",
"5001981_09.jpg",
"5001981_10.jpg",
"5001981_11.jpg",
"5001981_12.jpg",
"5001981_13.jpg",
"5001981_14.jpg",
"5001981_15.jpg"
] | a kid playing virtual reality in a classroom, while the teacher is screaming in shock | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001981.mp4 | 3 | 3 | 1 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a kid playing virtual reality in a classroom, while the teacher is screaming in shock\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
5000067 | [
"5000067_00.jpg",
"5000067_01.jpg",
"5000067_02.jpg",
"5000067_03.jpg",
"5000067_04.jpg",
"5000067_05.jpg",
"5000067_06.jpg",
"5000067_07.jpg",
"5000067_08.jpg",
"5000067_09.jpg",
"5000067_10.jpg",
"5000067_11.jpg",
"5000067_12.jpg",
"5000067_13.jpg",
"5000067_14.jpg",
"5000067_15.jpg"
] | The friendship between Lord Krishna and Arjuna is one of the most iconic and enduring friendships in Indian mythology. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000067.mp4 | 3 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The friendship between Lord Krishna and Arjuna is one of the most iconic and enduring friendships in Indian mythology.\",\nall the frames of video are as 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"
}
] |
7001763 | [
"7001763_00.jpg",
"7001763_01.jpg",
"7001763_02.jpg",
"7001763_03.jpg",
"7001763_04.jpg",
"7001763_05.jpg",
"7001763_06.jpg",
"7001763_07.jpg"
] | looking out of a window at a winter covered forrest sparkling in the sunshine | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001763.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 \"looking out of a window at a winter covered forrest sparkling in the sunshine\",\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"
}
] |
0005922 | [
"0005922_00.jpg",
"0005922_01.jpg",
"0005922_02.jpg",
"0005922_03.jpg",
"0005922_04.jpg",
"0005922_05.jpg",
"0005922_06.jpg",
"0005922_07.jpg",
"0005922_08.jpg",
"0005922_09.jpg",
"0005922_10.jpg",
"0005922_11.jpg",
"0005922_12.jpg",
"0005922_13.jpg",
"0005922_14.jpg",
"0005922_15.jpg",
"0005922_16.jpg",
"0005922_17.jpg",
"0005922_18.jpg",
"0005922_19.jpg",
"0005922_20.jpg",
"0005922_21.jpg",
"0005922_22.jpg",
"0005922_23.jpg"
] | A beautiful girl putting an aubergine in mouth | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005922.mp4 | 3 | 3 | 1 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A beautiful girl putting an aubergine in mouth\",\nall the 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"
}
] |
8003875 | [
"8003875_00.jpg",
"8003875_01.jpg",
"8003875_02.jpg",
"8003875_03.jpg",
"8003875_04.jpg",
"8003875_05.jpg",
"8003875_06.jpg",
"8003875_07.jpg",
"8003875_08.jpg",
"8003875_09.jpg",
"8003875_10.jpg",
"8003875_11.jpg",
"8003875_12.jpg",
"8003875_13.jpg",
"8003875_14.jpg",
"8003875_15.jpg",
"8003875_16.jpg",
"8003875_17.jpg",
"8003875_18.jpg",
"8003875_19.jpg",
"8003875_20.jpg",
"8003875_21.jpg",
"8003875_22.jpg",
"8003875_23.jpg"
] | The country of Regulus is situated around the poor mountains, and the people of this country live long lives | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003875.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The country of Regulus is situated around the poor mountains, and the people of this country live long lives\",\nall the 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"
}
] |
9000884 | [
"9000884_00.jpg",
"9000884_01.jpg",
"9000884_02.jpg",
"9000884_03.jpg",
"9000884_04.jpg",
"9000884_05.jpg",
"9000884_06.jpg",
"9000884_07.jpg",
"9000884_08.jpg",
"9000884_09.jpg",
"9000884_10.jpg",
"9000884_11.jpg",
"9000884_12.jpg",
"9000884_13.jpg",
"9000884_14.jpg",
"9000884_15.jpg",
"9000884_16.jpg",
"9000884_17.jpg",
"9000884_18.jpg",
"9000884_19.jpg",
"9000884_20.jpg",
"9000884_21.jpg",
"9000884_22.jpg",
"9000884_23.jpg"
] | two hands clapping with candles fluffed out | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000884.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 \"two hands clapping with candles fluffed out\",\nall the 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"
}
] |
6000669 | [
"6000669_00.jpg",
"6000669_01.jpg",
"6000669_02.jpg",
"6000669_03.jpg",
"6000669_04.jpg",
"6000669_05.jpg",
"6000669_06.jpg",
"6000669_07.jpg",
"6000669_08.jpg",
"6000669_09.jpg",
"6000669_10.jpg",
"6000669_11.jpg",
"6000669_12.jpg",
"6000669_13.jpg",
"6000669_14.jpg",
"6000669_15.jpg"
] | car window open then a man buy fruits | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000669.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 \"car window open then a man buy fruits\",\nall the frames of video are as 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"
}
] |
0001035 | [
"0001035_00.jpg",
"0001035_01.jpg",
"0001035_02.jpg",
"0001035_03.jpg",
"0001035_04.jpg",
"0001035_05.jpg",
"0001035_06.jpg",
"0001035_07.jpg",
"0001035_08.jpg",
"0001035_09.jpg",
"0001035_10.jpg",
"0001035_11.jpg",
"0001035_12.jpg",
"0001035_13.jpg",
"0001035_14.jpg",
"0001035_15.jpg",
"0001035_16.jpg",
"0001035_17.jpg",
"0001035_18.jpg",
"0001035_19.jpg",
"0001035_20.jpg",
"0001035_21.jpg",
"0001035_22.jpg",
"0001035_23.jpg"
] | Disney Pixar Cartoon, Disney Cartoon Characters, Disney Cartoon Style, Droz Global Illumination, Cute, 3D Rendering, Volume, a woman in a black dress with gold earrings on her head and a black dress with a gold bow, perfect face, Emma Geary, precisionism, a character portrait | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001035.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 \"Disney Pixar Cartoon, Disney Cartoon Characters, Disney Cartoon Style, Droz Global Illumination, Cute, 3D Rendering, Volume, a woman in a black dress with gold earrings on her head and a black dress with a gold bow, perfect face, Emma Geary, precisionism, a character portrait\",\nall the 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"
}
] |
7000139 | [
"7000139_00.jpg",
"7000139_01.jpg",
"7000139_02.jpg",
"7000139_03.jpg",
"7000139_04.jpg",
"7000139_05.jpg",
"7000139_06.jpg",
"7000139_07.jpg"
] | shot of a designer looking with a surprised face at some plans she ha | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000139.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 \"shot of a designer looking with a surprised face at some plans she ha\",\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"
}
] |
3001223 | [
"3001223_00.jpg",
"3001223_01.jpg",
"3001223_02.jpg",
"3001223_03.jpg",
"3001223_04.jpg",
"3001223_05.jpg",
"3001223_06.jpg",
"3001223_07.jpg",
"3001223_08.jpg",
"3001223_09.jpg",
"3001223_10.jpg",
"3001223_11.jpg",
"3001223_12.jpg",
"3001223_13.jpg",
"3001223_14.jpg",
"3001223_15.jpg"
] | a low poly 3D animation showing a farm and all its animals in the morning whith the sun washing over everything. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001223.mp4 | 2 | 1 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a low poly 3D animation showing a farm and all its animals in the morning whith the sun washing over everything.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
4000946 | [
"4000946_00.jpg",
"4000946_01.jpg",
"4000946_02.jpg",
"4000946_03.jpg",
"4000946_04.jpg",
"4000946_05.jpg",
"4000946_06.jpg",
"4000946_07.jpg",
"4000946_08.jpg",
"4000946_09.jpg",
"4000946_10.jpg",
"4000946_11.jpg",
"4000946_12.jpg",
"4000946_13.jpg",
"4000946_14.jpg",
"4000946_15.jpg"
] | green and black bubbles on black background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000946.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 \"green and black bubbles on black background\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3002009 | [
"3002009_00.jpg",
"3002009_01.jpg",
"3002009_02.jpg",
"3002009_03.jpg",
"3002009_04.jpg",
"3002009_05.jpg",
"3002009_06.jpg",
"3002009_07.jpg",
"3002009_08.jpg",
"3002009_09.jpg",
"3002009_10.jpg",
"3002009_11.jpg",
"3002009_12.jpg",
"3002009_13.jpg",
"3002009_14.jpg",
"3002009_15.jpg"
] | a music video by wes anderson | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002009.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 music video by wes anderson\",\nall the frames of video are as 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"
}
] |
3004339 | [
"3004339_00.jpg",
"3004339_01.jpg",
"3004339_02.jpg",
"3004339_03.jpg",
"3004339_04.jpg",
"3004339_05.jpg",
"3004339_06.jpg",
"3004339_07.jpg",
"3004339_08.jpg",
"3004339_09.jpg",
"3004339_10.jpg",
"3004339_11.jpg",
"3004339_12.jpg",
"3004339_13.jpg",
"3004339_14.jpg",
"3004339_15.jpg"
] | holiday is coming soon Message: Snowy Forest (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004339.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 \"holiday is coming soon Message: Snowy Forest (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1001999 | [
"1001999_00.jpg",
"1001999_01.jpg",
"1001999_02.jpg",
"1001999_03.jpg",
"1001999_04.jpg",
"1001999_05.jpg",
"1001999_06.jpg",
"1001999_07.jpg",
"1001999_08.jpg",
"1001999_09.jpg",
"1001999_10.jpg",
"1001999_11.jpg",
"1001999_12.jpg",
"1001999_13.jpg",
"1001999_14.jpg",
"1001999_15.jpg"
] | beautilful girl dancing on a destroyed city. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001999.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 \"beautilful girl dancing on a destroyed 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"
}
] |
1001257 | [
"1001257_00.jpg",
"1001257_01.jpg",
"1001257_02.jpg",
"1001257_03.jpg",
"1001257_04.jpg",
"1001257_05.jpg",
"1001257_06.jpg",
"1001257_07.jpg",
"1001257_08.jpg",
"1001257_09.jpg",
"1001257_10.jpg",
"1001257_11.jpg",
"1001257_12.jpg",
"1001257_13.jpg",
"1001257_14.jpg",
"1001257_15.jpg"
] | Generate an image depicting a character reacting to an urgent social media post with caution tape around a hospital. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001257.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 \"Generate an image depicting a character reacting to an urgent social media post with caution tape around a hospital.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
4000180 | [
"4000180_00.jpg",
"4000180_01.jpg",
"4000180_02.jpg",
"4000180_03.jpg",
"4000180_04.jpg",
"4000180_05.jpg",
"4000180_06.jpg",
"4000180_07.jpg",
"4000180_08.jpg",
"4000180_09.jpg",
"4000180_10.jpg",
"4000180_11.jpg",
"4000180_12.jpg",
"4000180_13.jpg",
"4000180_14.jpg",
"4000180_15.jpg"
] | Visualize the friends making wishes under the Starlight Tree, each expressing their desires, and the tree shimmering with a magical glow as their wishes were sent into the universe. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000180.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 \"Visualize the friends making wishes under the Starlight Tree, each expressing their desires, and the tree shimmering with a magical glow as their wishes were sent into the universe.\",\nall the frames of video are as 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"
}
] |
3003438 | [
"3003438_00.jpg",
"3003438_01.jpg",
"3003438_02.jpg",
"3003438_03.jpg",
"3003438_04.jpg",
"3003438_05.jpg",
"3003438_06.jpg",
"3003438_07.jpg",
"3003438_08.jpg",
"3003438_09.jpg",
"3003438_10.jpg",
"3003438_11.jpg",
"3003438_12.jpg",
"3003438_13.jpg",
"3003438_14.jpg",
"3003438_15.jpg"
] | a colorful painting combining ink and wash with oil painting techniques, depicting a passionate young man wearing a luxurious hat and a fur coat, leading a yellow horse with one hand and reaching up to the sky with the other on a flat plateau, against a backdrop of vast clouds, a majestic mountain, and a full moon in the northwest sky. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3003438.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 colorful painting combining ink and wash with oil painting techniques, depicting a passionate young man wearing a luxurious hat and a fur coat, leading a yellow horse with one hand and reaching up to the sky with the other on a flat plateau, against a backdrop of vast clouds, a majestic mountain, and a full moon in the northwest sky.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
1006020 | [
"1006020_00.jpg",
"1006020_01.jpg",
"1006020_02.jpg",
"1006020_03.jpg",
"1006020_04.jpg",
"1006020_05.jpg",
"1006020_06.jpg",
"1006020_07.jpg",
"1006020_08.jpg",
"1006020_09.jpg",
"1006020_10.jpg",
"1006020_11.jpg",
"1006020_12.jpg",
"1006020_13.jpg",
"1006020_14.jpg",
"1006020_15.jpg"
] | looping video of three robot professors debating with each other around a table | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006020.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 \"looping video of three robot professors debating with each other around a table\",\nall the frames of video are as 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"
}
] |
1003831 | [
"1003831_00.jpg",
"1003831_01.jpg",
"1003831_02.jpg",
"1003831_03.jpg",
"1003831_04.jpg",
"1003831_05.jpg",
"1003831_06.jpg",
"1003831_07.jpg",
"1003831_08.jpg",
"1003831_09.jpg",
"1003831_10.jpg",
"1003831_11.jpg",
"1003831_12.jpg",
"1003831_13.jpg",
"1003831_14.jpg",
"1003831_15.jpg"
] | black forest at very dark night with a full moon in the sky and stars causing a feeling of melancholy | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003831.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 \"black forest at very dark night with a full moon in the sky and stars causing a feeling of melancholy\",\nall the frames of video are as 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"
}
] |
7003108 | [
"7003108_00.jpg",
"7003108_01.jpg",
"7003108_02.jpg",
"7003108_03.jpg",
"7003108_04.jpg",
"7003108_05.jpg",
"7003108_06.jpg",
"7003108_07.jpg"
] | make a lama walking on grass with a crown | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003108.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 \"make a lama walking on grass with a crown\",\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"
}
] |
1004995 | [
"1004995_00.jpg",
"1004995_01.jpg",
"1004995_02.jpg",
"1004995_03.jpg",
"1004995_04.jpg",
"1004995_05.jpg",
"1004995_06.jpg",
"1004995_07.jpg",
"1004995_08.jpg",
"1004995_09.jpg",
"1004995_10.jpg",
"1004995_11.jpg",
"1004995_12.jpg",
"1004995_13.jpg",
"1004995_14.jpg",
"1004995_15.jpg"
] | unseen footage from the Mighty Boosh. deep in the jungle, with a tiger man. Directed by christopher nolan | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004995.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 \"unseen footage from the Mighty Boosh. deep in the jungle, with a tiger man. Directed by christopher nolan\",\nall the frames of video are as 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"
}
] |
3004836 | [
"3004836_00.jpg",
"3004836_01.jpg",
"3004836_02.jpg",
"3004836_03.jpg",
"3004836_04.jpg",
"3004836_05.jpg",
"3004836_06.jpg",
"3004836_07.jpg",
"3004836_08.jpg",
"3004836_09.jpg",
"3004836_10.jpg",
"3004836_11.jpg",
"3004836_12.jpg",
"3004836_13.jpg",
"3004836_14.jpg",
"3004836_15.jpg"
] | Create an image that evokes the mood and atmosphere of tropical party, brazil | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004836.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 \"Create an image that evokes the mood and atmosphere of tropical party, brazil\",\nall the frames of video are as 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"
}
] |
1001986 | [
"1001986_00.jpg",
"1001986_01.jpg",
"1001986_02.jpg",
"1001986_03.jpg",
"1001986_04.jpg",
"1001986_05.jpg",
"1001986_06.jpg",
"1001986_07.jpg",
"1001986_08.jpg",
"1001986_09.jpg",
"1001986_10.jpg",
"1001986_11.jpg",
"1001986_12.jpg",
"1001986_13.jpg",
"1001986_14.jpg",
"1001986_15.jpg"
] | Tracking shot through a server room cenematic 8k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001986.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"
}
] |
0002931 | [
"0002931_00.jpg",
"0002931_01.jpg",
"0002931_02.jpg",
"0002931_03.jpg",
"0002931_04.jpg",
"0002931_05.jpg",
"0002931_06.jpg",
"0002931_07.jpg",
"0002931_08.jpg",
"0002931_09.jpg",
"0002931_10.jpg",
"0002931_11.jpg",
"0002931_12.jpg",
"0002931_13.jpg",
"0002931_14.jpg",
"0002931_15.jpg",
"0002931_16.jpg",
"0002931_17.jpg",
"0002931_18.jpg",
"0002931_19.jpg",
"0002931_20.jpg",
"0002931_21.jpg",
"0002931_22.jpg",
"0002931_23.jpg"
] | two nurses are talking to each other in a hospital | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002931.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 \"two nurses are talking to each other in a hospital\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
2000943 | [
"2000943_00.jpg",
"2000943_01.jpg",
"2000943_02.jpg",
"2000943_03.jpg",
"2000943_04.jpg",
"2000943_05.jpg",
"2000943_06.jpg",
"2000943_07.jpg",
"2000943_08.jpg",
"2000943_09.jpg",
"2000943_10.jpg",
"2000943_11.jpg",
"2000943_12.jpg",
"2000943_13.jpg",
"2000943_14.jpg",
"2000943_15.jpg"
] | A forest with tall trees, trees moving, light air, photo from above, fast movement, noon time, tall grasses, distant mountains in the background, birds flying in the sky, fast moving clouds | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000943.mp4 | 2 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A forest with tall trees, trees moving, light air, photo from above, fast movement, noon time, tall grasses, distant mountains in the background, birds flying in the sky, fast moving clouds\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
4004319 | [
"4004319_00.jpg",
"4004319_01.jpg",
"4004319_02.jpg",
"4004319_03.jpg",
"4004319_04.jpg",
"4004319_05.jpg",
"4004319_06.jpg",
"4004319_07.jpg",
"4004319_08.jpg",
"4004319_09.jpg",
"4004319_10.jpg",
"4004319_11.jpg",
"4004319_12.jpg",
"4004319_13.jpg",
"4004319_14.jpg",
"4004319_15.jpg"
] | espadrills emphasizing cultural significance with history of the philippines background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004319.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 \"espadrills emphasizing cultural significance with history of the philippines background\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0006998 | [
"0006998_00.jpg",
"0006998_01.jpg",
"0006998_02.jpg",
"0006998_03.jpg",
"0006998_04.jpg",
"0006998_05.jpg",
"0006998_06.jpg",
"0006998_07.jpg",
"0006998_08.jpg",
"0006998_09.jpg",
"0006998_10.jpg",
"0006998_11.jpg",
"0006998_12.jpg",
"0006998_13.jpg",
"0006998_14.jpg",
"0006998_15.jpg",
"0006998_16.jpg",
"0006998_17.jpg",
"0006998_18.jpg",
"0006998_19.jpg",
"0006998_20.jpg",
"0006998_21.jpg",
"0006998_22.jpg",
"0006998_23.jpg"
] | hotel vela ( W hotel) on the beach of Barcelona is burning | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006998.mp4 | 2 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"hotel vela ( W hotel) on the beach of Barcelona is burning\",\nall the 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: 1\n"
}
] |
0001767 | [
"0001767_00.jpg",
"0001767_01.jpg",
"0001767_02.jpg",
"0001767_03.jpg",
"0001767_04.jpg",
"0001767_05.jpg",
"0001767_06.jpg",
"0001767_07.jpg",
"0001767_08.jpg",
"0001767_09.jpg",
"0001767_10.jpg",
"0001767_11.jpg",
"0001767_12.jpg",
"0001767_13.jpg",
"0001767_14.jpg",
"0001767_15.jpg",
"0001767_16.jpg",
"0001767_17.jpg",
"0001767_18.jpg",
"0001767_19.jpg",
"0001767_20.jpg",
"0001767_21.jpg",
"0001767_22.jpg",
"0001767_23.jpg"
] | Brad Pit dress as mariachi playing guitars ina mexican party, cake, conffetis, dance, people | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001767.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 \"Brad Pit dress as mariachi playing guitars ina mexican party, cake, conffetis, dance, people\",\nall the 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"
}
] |
8002581 | [
"8002581_00.jpg",
"8002581_01.jpg",
"8002581_02.jpg",
"8002581_03.jpg",
"8002581_04.jpg",
"8002581_05.jpg",
"8002581_06.jpg",
"8002581_07.jpg",
"8002581_08.jpg",
"8002581_09.jpg",
"8002581_10.jpg",
"8002581_11.jpg",
"8002581_12.jpg",
"8002581_13.jpg",
"8002581_14.jpg",
"8002581_15.jpg",
"8002581_16.jpg",
"8002581_17.jpg",
"8002581_18.jpg",
"8002581_19.jpg",
"8002581_20.jpg",
"8002581_21.jpg",
"8002581_22.jpg",
"8002581_23.jpg"
] | Titanic shipwreck, iceberg collapsing, ship cracks, birdseye | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002581.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 \"Titanic shipwreck, iceberg collapsing, ship cracks, birdseye\",\nall the 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"
}
] |
0001848 | [
"0001848_00.jpg",
"0001848_01.jpg",
"0001848_02.jpg",
"0001848_03.jpg",
"0001848_04.jpg",
"0001848_05.jpg",
"0001848_06.jpg",
"0001848_07.jpg",
"0001848_08.jpg",
"0001848_09.jpg",
"0001848_10.jpg",
"0001848_11.jpg",
"0001848_12.jpg",
"0001848_13.jpg",
"0001848_14.jpg",
"0001848_15.jpg",
"0001848_16.jpg",
"0001848_17.jpg",
"0001848_18.jpg",
"0001848_19.jpg",
"0001848_20.jpg",
"0001848_21.jpg",
"0001848_22.jpg",
"0001848_23.jpg"
] | autumn evening with a sundown over the mountains | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001848.mp4 | 2 | 3 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"autumn evening with a sundown over the 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: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1001026 | [
"1001026_00.jpg",
"1001026_01.jpg",
"1001026_02.jpg",
"1001026_03.jpg",
"1001026_04.jpg",
"1001026_05.jpg",
"1001026_06.jpg",
"1001026_07.jpg",
"1001026_08.jpg",
"1001026_09.jpg",
"1001026_10.jpg",
"1001026_11.jpg",
"1001026_12.jpg",
"1001026_13.jpg",
"1001026_14.jpg",
"1001026_15.jpg"
] | Field with demons, terrifying, dead vegetation, fog, looking at the camera, shadows, horror | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001026.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 \"Field with demons, terrifying, dead vegetation, fog, looking at the camera, shadows, horror\",\nall the frames of video are as 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"
}
] |
3002334 | [
"3002334_00.jpg",
"3002334_01.jpg",
"3002334_02.jpg",
"3002334_03.jpg",
"3002334_04.jpg",
"3002334_05.jpg",
"3002334_06.jpg",
"3002334_07.jpg",
"3002334_08.jpg",
"3002334_09.jpg",
"3002334_10.jpg",
"3002334_11.jpg",
"3002334_12.jpg",
"3002334_13.jpg",
"3002334_14.jpg",
"3002334_15.jpg"
] | Young woman wearing short minimalistic red dress walking in the evening in Moscow city. Summer, 18:00. Video Resolution: 4K. Hyperrealistic, High detailisation | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002334.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 \"Young woman wearing short minimalistic red dress walking in the evening in Moscow city. Summer, 18:00. Video Resolution: 4K. Hyperrealistic, High detailisation\",\nall the frames of video are as 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"
}
] |
1001229 | [
"1001229_00.jpg",
"1001229_01.jpg",
"1001229_02.jpg",
"1001229_03.jpg",
"1001229_04.jpg",
"1001229_05.jpg",
"1001229_06.jpg",
"1001229_07.jpg",
"1001229_08.jpg",
"1001229_09.jpg",
"1001229_10.jpg",
"1001229_11.jpg",
"1001229_12.jpg",
"1001229_13.jpg",
"1001229_14.jpg",
"1001229_15.jpg"
] | The fire behind the photo is chasing after it | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001229.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The fire behind the photo is chasing after it\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
6002984 | [
"6002984_00.jpg",
"6002984_01.jpg",
"6002984_02.jpg",
"6002984_03.jpg",
"6002984_04.jpg",
"6002984_05.jpg",
"6002984_06.jpg",
"6002984_07.jpg",
"6002984_08.jpg",
"6002984_09.jpg",
"6002984_10.jpg",
"6002984_11.jpg",
"6002984_12.jpg",
"6002984_13.jpg",
"6002984_14.jpg",
"6002984_15.jpg"
] | Bjork style, nick knight, ric owens fashion, jodorowski | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002984.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 \"Bjork style, nick knight, ric owens fashion, jodorowski\",\nall the frames of video are as 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"
}
] |
7003564 | [
"7003564_00.jpg",
"7003564_01.jpg",
"7003564_02.jpg",
"7003564_03.jpg",
"7003564_04.jpg",
"7003564_05.jpg",
"7003564_06.jpg",
"7003564_07.jpg"
] | meadow with a running woman, realist style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003564.mp4 | 2 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"meadow with a running woman, realist style\",\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: 1\n"
}
] |
2003604 | [
"2003604_00.jpg",
"2003604_01.jpg",
"2003604_02.jpg",
"2003604_03.jpg",
"2003604_04.jpg",
"2003604_05.jpg",
"2003604_06.jpg",
"2003604_07.jpg",
"2003604_08.jpg",
"2003604_09.jpg",
"2003604_10.jpg",
"2003604_11.jpg",
"2003604_12.jpg",
"2003604_13.jpg",
"2003604_14.jpg",
"2003604_15.jpg"
] | sprinter on the blocks getting ready for the race to start | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003604.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 \"sprinter on the blocks getting ready for the race to start\",\nall the frames of video are as 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"
}
] |
0001780 | [
"0001780_00.jpg",
"0001780_01.jpg",
"0001780_02.jpg",
"0001780_03.jpg",
"0001780_04.jpg",
"0001780_05.jpg",
"0001780_06.jpg",
"0001780_07.jpg",
"0001780_08.jpg",
"0001780_09.jpg",
"0001780_10.jpg",
"0001780_11.jpg",
"0001780_12.jpg",
"0001780_13.jpg",
"0001780_14.jpg",
"0001780_15.jpg",
"0001780_16.jpg",
"0001780_17.jpg",
"0001780_18.jpg",
"0001780_19.jpg",
"0001780_20.jpg",
"0001780_21.jpg",
"0001780_22.jpg",
"0001780_23.jpg"
] | wide shot of madurai temple in tamilnadu | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001780.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 \"wide shot of madurai temple in tamilnadu\",\nall the 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"
}
] |
2001657 | [
"2001657_00.jpg",
"2001657_01.jpg",
"2001657_02.jpg",
"2001657_03.jpg",
"2001657_04.jpg",
"2001657_05.jpg",
"2001657_06.jpg",
"2001657_07.jpg",
"2001657_08.jpg",
"2001657_09.jpg",
"2001657_10.jpg",
"2001657_11.jpg",
"2001657_12.jpg",
"2001657_13.jpg",
"2001657_14.jpg",
"2001657_15.jpg"
] | Megumin on the beach wearing swimsuit | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001657.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 \"Megumin on the beach wearing swimsuit\",\nall the frames of video are as 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"
}
] |
1004282 | [
"1004282_00.jpg",
"1004282_01.jpg",
"1004282_02.jpg",
"1004282_03.jpg",
"1004282_04.jpg",
"1004282_05.jpg",
"1004282_06.jpg",
"1004282_07.jpg",
"1004282_08.jpg",
"1004282_09.jpg",
"1004282_10.jpg",
"1004282_11.jpg",
"1004282_12.jpg",
"1004282_13.jpg",
"1004282_14.jpg",
"1004282_15.jpg"
] | christmas tree whit black box gift | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004282.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 \"christmas tree whit black box gift\",\nall the frames of video are as 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"
}
] |
3002961 | [
"3002961_00.jpg",
"3002961_01.jpg",
"3002961_02.jpg",
"3002961_03.jpg",
"3002961_04.jpg",
"3002961_05.jpg",
"3002961_06.jpg",
"3002961_07.jpg",
"3002961_08.jpg",
"3002961_09.jpg",
"3002961_10.jpg",
"3002961_11.jpg",
"3002961_12.jpg",
"3002961_13.jpg",
"3002961_14.jpg",
"3002961_15.jpg"
] | the city of messologi took its name because it is between two lagoons | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002961.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 city of messologi took its name because it is between two lagoons\",\nall the frames of video are as 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"
}
] |
7001861 | [
"7001861_00.jpg",
"7001861_01.jpg",
"7001861_02.jpg",
"7001861_03.jpg",
"7001861_04.jpg",
"7001861_05.jpg",
"7001861_06.jpg",
"7001861_07.jpg"
] | a dog jumping in a field | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001861.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a dog jumping in a field\",\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"
}
] |
3005335 | [
"3005335_00.jpg",
"3005335_01.jpg",
"3005335_02.jpg",
"3005335_03.jpg",
"3005335_04.jpg",
"3005335_05.jpg",
"3005335_06.jpg",
"3005335_07.jpg",
"3005335_08.jpg",
"3005335_09.jpg",
"3005335_10.jpg",
"3005335_11.jpg",
"3005335_12.jpg",
"3005335_13.jpg",
"3005335_14.jpg",
"3005335_15.jpg"
] | New beginnings are often disguised as painful endings. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005335.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 \"New beginnings are often disguised as painful endings.\",\nall the frames of video are as 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"
}
] |
3004206 | [
"3004206_00.jpg",
"3004206_01.jpg",
"3004206_02.jpg",
"3004206_03.jpg",
"3004206_04.jpg",
"3004206_05.jpg",
"3004206_06.jpg",
"3004206_07.jpg",
"3004206_08.jpg",
"3004206_09.jpg",
"3004206_10.jpg",
"3004206_11.jpg",
"3004206_12.jpg",
"3004206_13.jpg",
"3004206_14.jpg",
"3004206_15.jpg"
] | 3d images Bob chuckled and turned to his other friends, Dizzy and Roley. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004206.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 \"3d images Bob chuckled and turned to his other friends, Dizzy and Roley.\",\nall the frames of video are as 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"
}
] |
0002926 | [
"0002926_00.jpg",
"0002926_01.jpg",
"0002926_02.jpg",
"0002926_03.jpg",
"0002926_04.jpg",
"0002926_05.jpg",
"0002926_06.jpg",
"0002926_07.jpg",
"0002926_08.jpg",
"0002926_09.jpg",
"0002926_10.jpg",
"0002926_11.jpg",
"0002926_12.jpg",
"0002926_13.jpg",
"0002926_14.jpg",
"0002926_15.jpg",
"0002926_16.jpg",
"0002926_17.jpg",
"0002926_18.jpg",
"0002926_19.jpg",
"0002926_20.jpg",
"0002926_21.jpg",
"0002926_22.jpg",
"0002926_23.jpg"
] | Visualize Sparky wagging his tail as Lily recalls the magical adventure, leaving a lasting glow of happiness in Meadowville. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002926.mp4 | 2 | 3 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Visualize Sparky wagging his tail as Lily recalls the magical adventure, leaving a lasting glow of happiness in Meadowville.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1003878 | [
"1003878_00.jpg",
"1003878_01.jpg",
"1003878_02.jpg",
"1003878_03.jpg",
"1003878_04.jpg",
"1003878_05.jpg",
"1003878_06.jpg",
"1003878_07.jpg",
"1003878_08.jpg",
"1003878_09.jpg",
"1003878_10.jpg",
"1003878_11.jpg",
"1003878_12.jpg",
"1003878_13.jpg",
"1003878_14.jpg",
"1003878_15.jpg"
] | Light sunlight peeps through the palace bedroom window | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003878.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 \"Light sunlight peeps through the palace bedroom window\",\nall the frames of video are as 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"
}
] |
6004970 | [
"6004970_00.jpg",
"6004970_01.jpg",
"6004970_02.jpg",
"6004970_03.jpg",
"6004970_04.jpg",
"6004970_05.jpg",
"6004970_06.jpg",
"6004970_07.jpg",
"6004970_08.jpg",
"6004970_09.jpg",
"6004970_10.jpg",
"6004970_11.jpg",
"6004970_12.jpg",
"6004970_13.jpg",
"6004970_14.jpg",
"6004970_15.jpg"
] | An astronaut flying in space by Hokusai, in the style of Ukiyo | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004970.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"An astronaut flying in space by Hokusai, in the style of Ukiyo\",\nall the frames of video are as 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"
}
] |
2002392 | [
"2002392_00.jpg",
"2002392_01.jpg",
"2002392_02.jpg",
"2002392_03.jpg",
"2002392_04.jpg",
"2002392_05.jpg",
"2002392_06.jpg",
"2002392_07.jpg",
"2002392_08.jpg",
"2002392_09.jpg",
"2002392_10.jpg",
"2002392_11.jpg",
"2002392_12.jpg",
"2002392_13.jpg",
"2002392_14.jpg",
"2002392_15.jpg"
] | red rubies, red background, falling, glowing | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002392.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 \"red rubies, red background, falling, glowing\",\nall the frames of video are as 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"
}
] |
4002552 | [
"4002552_00.jpg",
"4002552_01.jpg",
"4002552_02.jpg",
"4002552_03.jpg",
"4002552_04.jpg",
"4002552_05.jpg",
"4002552_06.jpg",
"4002552_07.jpg",
"4002552_08.jpg",
"4002552_09.jpg",
"4002552_10.jpg",
"4002552_11.jpg",
"4002552_12.jpg",
"4002552_13.jpg",
"4002552_14.jpg",
"4002552_15.jpg"
] | side view of a man walking back and forth | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002552.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 \"side view of a man walking back and forth\",\nall the frames of video are as 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"
}
] |
0002310 | [
"0002310_00.jpg",
"0002310_01.jpg",
"0002310_02.jpg",
"0002310_03.jpg",
"0002310_04.jpg",
"0002310_05.jpg",
"0002310_06.jpg",
"0002310_07.jpg",
"0002310_08.jpg",
"0002310_09.jpg",
"0002310_10.jpg",
"0002310_11.jpg",
"0002310_12.jpg",
"0002310_13.jpg",
"0002310_14.jpg",
"0002310_15.jpg",
"0002310_16.jpg",
"0002310_17.jpg",
"0002310_18.jpg",
"0002310_19.jpg",
"0002310_20.jpg",
"0002310_21.jpg",
"0002310_22.jpg",
"0002310_23.jpg"
] | a tie | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002310.mp4 | 3 | 3 | 1 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a tie\",\nall the 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"
}
] |
6000864 | [
"6000864_00.jpg",
"6000864_01.jpg",
"6000864_02.jpg",
"6000864_03.jpg",
"6000864_04.jpg",
"6000864_05.jpg",
"6000864_06.jpg",
"6000864_07.jpg",
"6000864_08.jpg",
"6000864_09.jpg",
"6000864_10.jpg",
"6000864_11.jpg",
"6000864_12.jpg",
"6000864_13.jpg",
"6000864_14.jpg",
"6000864_15.jpg"
] | loop of a girl floating in the space with no space suit | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000864.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 \"loop of a girl floating in the space with no space suit\",\nall the frames of video are as 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"
}
] |
0001563 | [
"0001563_00.jpg",
"0001563_01.jpg",
"0001563_02.jpg",
"0001563_03.jpg",
"0001563_04.jpg",
"0001563_05.jpg",
"0001563_06.jpg",
"0001563_07.jpg",
"0001563_08.jpg",
"0001563_09.jpg",
"0001563_10.jpg",
"0001563_11.jpg",
"0001563_12.jpg",
"0001563_13.jpg",
"0001563_14.jpg",
"0001563_15.jpg",
"0001563_16.jpg",
"0001563_17.jpg",
"0001563_18.jpg",
"0001563_19.jpg",
"0001563_20.jpg",
"0001563_21.jpg",
"0001563_22.jpg",
"0001563_23.jpg"
] | Standing in the dark holding a samurai sword | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001563.mp4 | 3 | 3 | 2 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Standing in the dark holding a samurai sword\",\nall the 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: 1\n"
}
] |
0003378 | [
"0003378_00.jpg",
"0003378_01.jpg",
"0003378_02.jpg",
"0003378_03.jpg",
"0003378_04.jpg",
"0003378_05.jpg",
"0003378_06.jpg",
"0003378_07.jpg",
"0003378_08.jpg",
"0003378_09.jpg",
"0003378_10.jpg",
"0003378_11.jpg",
"0003378_12.jpg",
"0003378_13.jpg",
"0003378_14.jpg",
"0003378_15.jpg",
"0003378_16.jpg",
"0003378_17.jpg",
"0003378_18.jpg",
"0003378_19.jpg",
"0003378_20.jpg",
"0003378_21.jpg",
"0003378_22.jpg",
"0003378_23.jpg"
] | Volkswagen drives through a vibrant city, bumper to camera | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003378.mp4 | 1 | 3 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Volkswagen drives through a vibrant city, bumper to camera\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
8001484 | [
"8001484_00.jpg",
"8001484_01.jpg",
"8001484_02.jpg",
"8001484_03.jpg",
"8001484_04.jpg",
"8001484_05.jpg",
"8001484_06.jpg",
"8001484_07.jpg",
"8001484_08.jpg",
"8001484_09.jpg",
"8001484_10.jpg",
"8001484_11.jpg",
"8001484_12.jpg",
"8001484_13.jpg",
"8001484_14.jpg",
"8001484_15.jpg",
"8001484_16.jpg",
"8001484_17.jpg",
"8001484_18.jpg",
"8001484_19.jpg",
"8001484_20.jpg",
"8001484_21.jpg",
"8001484_22.jpg",
"8001484_23.jpg"
] | overhead view of bacon on a griddle cooking | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001484.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 \"overhead view of bacon on a griddle cooking\",\nall the 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"
}
] |
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