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
|
---|---|---|---|---|---|---|---|---|---|
6001120 | [
"6001120_00.jpg",
"6001120_01.jpg",
"6001120_02.jpg",
"6001120_03.jpg",
"6001120_04.jpg",
"6001120_05.jpg",
"6001120_06.jpg",
"6001120_07.jpg",
"6001120_08.jpg",
"6001120_09.jpg",
"6001120_10.jpg",
"6001120_11.jpg",
"6001120_12.jpg",
"6001120_13.jpg",
"6001120_14.jpg",
"6001120_15.jpg"
] | starship warping into hyperspace, passing many planets and moons on its way | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001120.mp4 | 2 | 2 | 3 | 3 | 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 \"starship warping into hyperspace, passing many planets and moons on its way\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 3\n factual consistency: 1\n"
}
] |
3002145 | [
"3002145_00.jpg",
"3002145_01.jpg",
"3002145_02.jpg",
"3002145_03.jpg",
"3002145_04.jpg",
"3002145_05.jpg",
"3002145_06.jpg",
"3002145_07.jpg",
"3002145_08.jpg",
"3002145_09.jpg",
"3002145_10.jpg",
"3002145_11.jpg",
"3002145_12.jpg",
"3002145_13.jpg",
"3002145_14.jpg",
"3002145_15.jpg"
] | giant wave flooding a city wave splash style 3D real flow vray shadow Reflex trapcode | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002145.mp4 | 3 | 3 | 3 | 3 | 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 \"giant wave flooding a city wave splash style 3D real flow vray shadow Reflex trapcode\",\nall the frames of video are as 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: 3\n factual consistency: 2\n"
}
] |
1002323 | [
"1002323_00.jpg",
"1002323_01.jpg",
"1002323_02.jpg",
"1002323_03.jpg",
"1002323_04.jpg",
"1002323_05.jpg",
"1002323_06.jpg",
"1002323_07.jpg",
"1002323_08.jpg",
"1002323_09.jpg",
"1002323_10.jpg",
"1002323_11.jpg",
"1002323_12.jpg",
"1002323_13.jpg",
"1002323_14.jpg",
"1002323_15.jpg"
] | a small bug walking on a table, photo real, 8K | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002323.mp4 | 1 | 2 | 3 | 2 | 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 small bug walking on a table, photo real, 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: 2\n dynamic degree: 3\n text-to-video alignment: 2\n factual consistency: 1\n"
}
] |
0002190 | [
"0002190_00.jpg",
"0002190_01.jpg",
"0002190_02.jpg",
"0002190_03.jpg",
"0002190_04.jpg",
"0002190_05.jpg",
"0002190_06.jpg",
"0002190_07.jpg",
"0002190_08.jpg",
"0002190_09.jpg",
"0002190_10.jpg",
"0002190_11.jpg",
"0002190_12.jpg",
"0002190_13.jpg",
"0002190_14.jpg",
"0002190_15.jpg",
"0002190_16.jpg",
"0002190_17.jpg",
"0002190_18.jpg",
"0002190_19.jpg",
"0002190_20.jpg",
"0002190_21.jpg",
"0002190_22.jpg",
"0002190_23.jpg"
] | ghengis kahn in 2023 dressed modern and acting the way someone would today in an American city | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002190.mp4 | 3 | 3 | 3 | 3 | 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 \"ghengis kahn in 2023 dressed modern and acting the way someone would today in an American 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> <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: 3\n factual consistency: 2\n"
}
] |
0001321 | [
"0001321_00.jpg",
"0001321_01.jpg",
"0001321_02.jpg",
"0001321_03.jpg",
"0001321_04.jpg",
"0001321_05.jpg",
"0001321_06.jpg",
"0001321_07.jpg",
"0001321_08.jpg",
"0001321_09.jpg",
"0001321_10.jpg",
"0001321_11.jpg",
"0001321_12.jpg",
"0001321_13.jpg",
"0001321_14.jpg",
"0001321_15.jpg",
"0001321_16.jpg",
"0001321_17.jpg",
"0001321_18.jpg",
"0001321_19.jpg",
"0001321_20.jpg",
"0001321_21.jpg",
"0001321_22.jpg",
"0001321_23.jpg"
] | The Battle of the French and the English shorthairs | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001321.mp4 | 2 | 2 | 3 | 1 | 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 Battle of the French and the English shorthairs\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 1\n factual consistency: 3\n"
}
] |
4001234 | [
"4001234_00.jpg",
"4001234_01.jpg",
"4001234_02.jpg",
"4001234_03.jpg",
"4001234_04.jpg",
"4001234_05.jpg",
"4001234_06.jpg",
"4001234_07.jpg",
"4001234_08.jpg",
"4001234_09.jpg",
"4001234_10.jpg",
"4001234_11.jpg",
"4001234_12.jpg",
"4001234_13.jpg",
"4001234_14.jpg",
"4001234_15.jpg"
] | a gingerbread airplane exploding a tower of ice cream | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001234.mp4 | 3 | 3 | 3 | 1 | 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 gingerbread airplane exploding a tower of ice cream\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 1\n factual consistency: 2\n"
}
] |
0002601 | [
"0002601_00.jpg",
"0002601_01.jpg",
"0002601_02.jpg",
"0002601_03.jpg",
"0002601_04.jpg",
"0002601_05.jpg",
"0002601_06.jpg",
"0002601_07.jpg",
"0002601_08.jpg",
"0002601_09.jpg",
"0002601_10.jpg",
"0002601_11.jpg",
"0002601_12.jpg",
"0002601_13.jpg",
"0002601_14.jpg",
"0002601_15.jpg",
"0002601_16.jpg",
"0002601_17.jpg",
"0002601_18.jpg",
"0002601_19.jpg",
"0002601_20.jpg",
"0002601_21.jpg",
"0002601_22.jpg",
"0002601_23.jpg"
] | A Chinese girl in her 20s, with a sweet face and simple clothes, is undergoing myopia surgery in an eye hospital. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002601.mp4 | 3 | 3 | 2 | 3 | 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 Chinese girl in her 20s, with a sweet face and simple clothes, is undergoing myopia surgery in an eye 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: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 3\n factual consistency: 3\n"
}
] |
1001060 | [
"1001060_00.jpg",
"1001060_01.jpg",
"1001060_02.jpg",
"1001060_03.jpg",
"1001060_04.jpg",
"1001060_05.jpg",
"1001060_06.jpg",
"1001060_07.jpg",
"1001060_08.jpg",
"1001060_09.jpg",
"1001060_10.jpg",
"1001060_11.jpg",
"1001060_12.jpg",
"1001060_13.jpg",
"1001060_14.jpg",
"1001060_15.jpg"
] | Chinese temples with a solemn and mysterious appearance | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001060.mp4 | 1 | 2 | 3 | 2 | 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 \"Chinese temples with a solemn and mysterious appearance\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 2\n factual consistency: 1\n"
}
] |
4000490 | [
"4000490_00.jpg",
"4000490_01.jpg",
"4000490_02.jpg",
"4000490_03.jpg",
"4000490_04.jpg",
"4000490_05.jpg",
"4000490_06.jpg",
"4000490_07.jpg",
"4000490_08.jpg",
"4000490_09.jpg",
"4000490_10.jpg",
"4000490_11.jpg",
"4000490_12.jpg",
"4000490_13.jpg",
"4000490_14.jpg",
"4000490_15.jpg"
] | Get a long video of a man flying while driving a car | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000490.mp4 | 3 | 3 | 3 | 3 | 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 \"Get a long video of a man flying while driving a car\",\nall the frames of video are as 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: 3\n factual consistency: 3\n"
}
] |
7001492 | [
"7001492_00.jpg",
"7001492_01.jpg",
"7001492_02.jpg",
"7001492_03.jpg",
"7001492_04.jpg",
"7001492_05.jpg",
"7001492_06.jpg",
"7001492_07.jpg"
] | a whale floating over the sea | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001492.mp4 | 3 | 3 | 3 | 3 | 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 whale floating over the sea\",\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: 3\n factual consistency: 3\n"
}
] |
0002315 | [
"0002315_00.jpg",
"0002315_01.jpg",
"0002315_02.jpg",
"0002315_03.jpg",
"0002315_04.jpg",
"0002315_05.jpg",
"0002315_06.jpg",
"0002315_07.jpg",
"0002315_08.jpg",
"0002315_09.jpg",
"0002315_10.jpg",
"0002315_11.jpg",
"0002315_12.jpg",
"0002315_13.jpg",
"0002315_14.jpg",
"0002315_15.jpg",
"0002315_16.jpg",
"0002315_17.jpg",
"0002315_18.jpg",
"0002315_19.jpg",
"0002315_20.jpg",
"0002315_21.jpg",
"0002315_22.jpg",
"0002315_23.jpg"
] | two men walking through the mountain in the Aran valley in Spain, one tall and the other of medium height. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002315.mp4 | 3 | 3 | 2 | 3 | 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 men walking through the mountain in the Aran valley in Spain, one tall and the other of medium height.\",\nall the 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: 3\n factual consistency: 3\n"
}
] |
2002483 | [
"2002483_00.jpg",
"2002483_01.jpg",
"2002483_02.jpg",
"2002483_03.jpg",
"2002483_04.jpg",
"2002483_05.jpg",
"2002483_06.jpg",
"2002483_07.jpg",
"2002483_08.jpg",
"2002483_09.jpg",
"2002483_10.jpg",
"2002483_11.jpg",
"2002483_12.jpg",
"2002483_13.jpg",
"2002483_14.jpg",
"2002483_15.jpg"
] | anime, black background with a blue sun, silhouette of one character with a gun in a battle seen from the back | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002483.mp4 | 3 | 2 | 3 | 3 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"anime, black background with a blue sun, silhouette of one character with a gun in a battle seen from the back\",\nall the frames of video are as 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: 3\n factual consistency: 3\n"
}
] |
2000003 | [
"2000003_00.jpg",
"2000003_01.jpg",
"2000003_02.jpg",
"2000003_03.jpg",
"2000003_04.jpg",
"2000003_05.jpg",
"2000003_06.jpg",
"2000003_07.jpg",
"2000003_08.jpg",
"2000003_09.jpg",
"2000003_10.jpg",
"2000003_11.jpg",
"2000003_12.jpg",
"2000003_13.jpg",
"2000003_14.jpg",
"2000003_15.jpg"
] | driveby video of a s1000rr in front of a beach | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000003.mp4 | 3 | 3 | 3 | 2 | 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 \"driveby video of a s1000rr in front of a beach\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 2\n factual consistency: 1\n"
}
] |
3001457 | [
"3001457_00.jpg",
"3001457_01.jpg",
"3001457_02.jpg",
"3001457_03.jpg",
"3001457_04.jpg",
"3001457_05.jpg",
"3001457_06.jpg",
"3001457_07.jpg",
"3001457_08.jpg",
"3001457_09.jpg",
"3001457_10.jpg",
"3001457_11.jpg",
"3001457_12.jpg",
"3001457_13.jpg",
"3001457_14.jpg",
"3001457_15.jpg"
] | A mani is sleeping 2 hours in a day. He like tea. He also like play football. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001457.mp4 | 2 | 3 | 1 | 3 | 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 mani is sleeping 2 hours in a day. He like tea. He also like play football.\",\nall the frames of video are as 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: 3\n factual consistency: 2\n"
}
] |
7000464 | [
"7000464_00.jpg",
"7000464_01.jpg",
"7000464_02.jpg",
"7000464_03.jpg",
"7000464_04.jpg",
"7000464_05.jpg",
"7000464_06.jpg",
"7000464_07.jpg"
] | mouse said mighty lion please spare my life | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000464.mp4 | 3 | 3 | 3 | 2 | 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 \"mouse said mighty lion please spare my life\",\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: 2\n factual consistency: 3\n"
}
] |
3002498 | [
"3002498_00.jpg",
"3002498_01.jpg",
"3002498_02.jpg",
"3002498_03.jpg",
"3002498_04.jpg",
"3002498_05.jpg",
"3002498_06.jpg",
"3002498_07.jpg",
"3002498_08.jpg",
"3002498_09.jpg",
"3002498_10.jpg",
"3002498_11.jpg",
"3002498_12.jpg",
"3002498_13.jpg",
"3002498_14.jpg",
"3002498_15.jpg"
] | mars dota 2 with its large army | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002498.mp4 | 2 | 2 | 3 | 3 | 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 \"mars dota 2 with its large army\",\nall the frames of video are as 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: 3\n factual consistency: 2\n"
}
] |
1001760 | [
"1001760_00.jpg",
"1001760_01.jpg",
"1001760_02.jpg",
"1001760_03.jpg",
"1001760_04.jpg",
"1001760_05.jpg",
"1001760_06.jpg",
"1001760_07.jpg",
"1001760_08.jpg",
"1001760_09.jpg",
"1001760_10.jpg",
"1001760_11.jpg",
"1001760_12.jpg",
"1001760_13.jpg",
"1001760_14.jpg",
"1001760_15.jpg"
] | slender man scares a groups of children playing in a forest, 4k high quality | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001760.mp4 | 1 | 1 | 3 | 1 | 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 \"slender man scares a groups of children playing in a forest, 4k high quality\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 1\n factual consistency: 1\n"
}
] |
5000453 | [
"5000453_00.jpg",
"5000453_01.jpg",
"5000453_02.jpg",
"5000453_03.jpg",
"5000453_04.jpg",
"5000453_05.jpg",
"5000453_06.jpg",
"5000453_07.jpg",
"5000453_08.jpg",
"5000453_09.jpg",
"5000453_10.jpg",
"5000453_11.jpg",
"5000453_12.jpg",
"5000453_13.jpg",
"5000453_14.jpg",
"5000453_15.jpg"
] | The camera shows the bustling city street, with people walking and talking. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000453.mp4 | 2 | 1 | 3 | 3 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The camera shows the bustling city street, with people walking and talking.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 3\n factual consistency: 1\n"
}
] |
8000541 | [
"8000541_00.jpg",
"8000541_01.jpg",
"8000541_02.jpg",
"8000541_03.jpg",
"8000541_04.jpg",
"8000541_05.jpg",
"8000541_06.jpg",
"8000541_07.jpg",
"8000541_08.jpg",
"8000541_09.jpg",
"8000541_10.jpg",
"8000541_11.jpg",
"8000541_12.jpg",
"8000541_13.jpg",
"8000541_14.jpg",
"8000541_15.jpg",
"8000541_16.jpg",
"8000541_17.jpg",
"8000541_18.jpg",
"8000541_19.jpg",
"8000541_20.jpg",
"8000541_21.jpg",
"8000541_22.jpg",
"8000541_23.jpg"
] | beautiful Italian woman wearing a bikini lying on the seaside sand | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000541.mp4 | 1 | 3 | 3 | 2 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"beautiful Italian woman wearing a bikini lying on the seaside sand\",\nall the 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: 2\n factual consistency: 1\n"
}
] |
0000740 | [
"0000740_00.jpg",
"0000740_01.jpg",
"0000740_02.jpg",
"0000740_03.jpg",
"0000740_04.jpg",
"0000740_05.jpg",
"0000740_06.jpg",
"0000740_07.jpg",
"0000740_08.jpg",
"0000740_09.jpg",
"0000740_10.jpg",
"0000740_11.jpg",
"0000740_12.jpg",
"0000740_13.jpg",
"0000740_14.jpg",
"0000740_15.jpg",
"0000740_16.jpg",
"0000740_17.jpg",
"0000740_18.jpg",
"0000740_19.jpg",
"0000740_20.jpg",
"0000740_21.jpg",
"0000740_22.jpg",
"0000740_23.jpg"
] | Ms. Y My is cooking for the aliens | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000740.mp4 | 3 | 3 | 2 | 1 | 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 \"Ms. Y My is cooking for the aliens\",\nall the 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: 1\n factual consistency: 3\n"
}
] |
3001439 | [
"3001439_00.jpg",
"3001439_01.jpg",
"3001439_02.jpg",
"3001439_03.jpg",
"3001439_04.jpg",
"3001439_05.jpg",
"3001439_06.jpg",
"3001439_07.jpg",
"3001439_08.jpg",
"3001439_09.jpg",
"3001439_10.jpg",
"3001439_11.jpg",
"3001439_12.jpg",
"3001439_13.jpg",
"3001439_14.jpg",
"3001439_15.jpg"
] | lomography style with balons on greece | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001439.mp4 | 1 | 2 | 3 | 2 | 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 \"lomography style with balons on greece\",\nall the frames of video are as 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: 2\n factual consistency: 2\n"
}
] |
6001048 | [
"6001048_00.jpg",
"6001048_01.jpg",
"6001048_02.jpg",
"6001048_03.jpg",
"6001048_04.jpg",
"6001048_05.jpg",
"6001048_06.jpg",
"6001048_07.jpg",
"6001048_08.jpg",
"6001048_09.jpg",
"6001048_10.jpg",
"6001048_11.jpg",
"6001048_12.jpg",
"6001048_13.jpg",
"6001048_14.jpg",
"6001048_15.jpg"
] | young boy well dressed wearing belt in empty room looking ahead with confidence | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001048.mp4 | 1 | 2 | 3 | 3 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"young boy well dressed wearing belt in empty room looking ahead with confidence\",\nall the frames of video are as 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: 3\n factual consistency: 1\n"
}
] |
3002418 | [
"3002418_00.jpg",
"3002418_01.jpg",
"3002418_02.jpg",
"3002418_03.jpg",
"3002418_04.jpg",
"3002418_05.jpg",
"3002418_06.jpg",
"3002418_07.jpg",
"3002418_08.jpg",
"3002418_09.jpg",
"3002418_10.jpg",
"3002418_11.jpg",
"3002418_12.jpg",
"3002418_13.jpg",
"3002418_14.jpg",
"3002418_15.jpg"
] | Cute little bears and colorful birds playing on the grass | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002418.mp4 | 2 | 2 | 3 | 2 | 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 \"Cute little bears and colorful birds playing on the grass\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 2\n factual consistency: 2\n"
}
] |
1002496 | [
"1002496_00.jpg",
"1002496_01.jpg",
"1002496_02.jpg",
"1002496_03.jpg",
"1002496_04.jpg",
"1002496_05.jpg",
"1002496_06.jpg",
"1002496_07.jpg",
"1002496_08.jpg",
"1002496_09.jpg",
"1002496_10.jpg",
"1002496_11.jpg",
"1002496_12.jpg",
"1002496_13.jpg",
"1002496_14.jpg",
"1002496_15.jpg"
] | A humid summer afternoon, the Forbidden City in Beijing was shrouded in a thunderstorm. Tourists walked through thousands of years of history, stepped on stone steps, and entered the silent palace. Octane render, 4K resolution, cinematic lighting, bokeh background blur | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002496.mp4 | 1 | 2 | 3 | 2 | 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 humid summer afternoon, the Forbidden City in Beijing was shrouded in a thunderstorm. Tourists walked through thousands of years of history, stepped on stone steps, and entered the silent palace. Octane render, 4K resolution, cinematic lighting, bokeh background blur\",\nall the frames of video are as 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: 2\n factual consistency: 1\n"
}
] |
5000933 | [
"5000933_00.jpg",
"5000933_01.jpg",
"5000933_02.jpg",
"5000933_03.jpg",
"5000933_04.jpg",
"5000933_05.jpg",
"5000933_06.jpg",
"5000933_07.jpg",
"5000933_08.jpg",
"5000933_09.jpg",
"5000933_10.jpg",
"5000933_11.jpg",
"5000933_12.jpg",
"5000933_13.jpg",
"5000933_14.jpg",
"5000933_15.jpg"
] | holding a duck egg yolk walking upstairs with both hands and 4 ducks came up too | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000933.mp4 | 3 | 2 | 3 | 3 | 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 \"holding a duck egg yolk walking upstairs with both hands and 4 ducks came up too\",\nall the frames of video are as 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: 3\n factual consistency: 1\n"
}
] |
3000153 | [
"3000153_00.jpg",
"3000153_01.jpg",
"3000153_02.jpg",
"3000153_03.jpg",
"3000153_04.jpg",
"3000153_05.jpg",
"3000153_06.jpg",
"3000153_07.jpg",
"3000153_08.jpg",
"3000153_09.jpg",
"3000153_10.jpg",
"3000153_11.jpg",
"3000153_12.jpg",
"3000153_13.jpg",
"3000153_14.jpg",
"3000153_15.jpg"
] | create an ad for tattoo removal shop | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000153.mp4 | 3 | 3 | 3 | 3 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"create an ad for tattoo removal shop\",\nall the frames of video are as 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: 3\n factual consistency: 3\n"
}
] |
0001213 | [
"0001213_00.jpg",
"0001213_01.jpg",
"0001213_02.jpg",
"0001213_03.jpg",
"0001213_04.jpg",
"0001213_05.jpg",
"0001213_06.jpg",
"0001213_07.jpg",
"0001213_08.jpg",
"0001213_09.jpg",
"0001213_10.jpg",
"0001213_11.jpg",
"0001213_12.jpg",
"0001213_13.jpg",
"0001213_14.jpg",
"0001213_15.jpg",
"0001213_16.jpg",
"0001213_17.jpg",
"0001213_18.jpg",
"0001213_19.jpg",
"0001213_20.jpg",
"0001213_21.jpg",
"0001213_22.jpg",
"0001213_23.jpg"
] | animate text and animate fire and animate beer liquid and animate face | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001213.mp4 | 3 | 3 | 3 | 3 | 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 text and animate fire and animate beer liquid and animate face\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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: 3\n factual consistency: 3\n"
}
] |
7000044 | [
"7000044_00.jpg",
"7000044_01.jpg",
"7000044_02.jpg",
"7000044_03.jpg",
"7000044_04.jpg",
"7000044_05.jpg",
"7000044_06.jpg",
"7000044_07.jpg"
] | Ukraine aspired to align with Europe, fostering cooperation and shared values, while Russia sought increased power and control over its neighbors | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000044.mp4 | 2 | 3 | 2 | 3 | 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 \"Ukraine aspired to align with Europe, fostering cooperation and shared values, while Russia sought increased power and control over its neighbors\",\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: 3\n factual consistency: 2\n"
}
] |
0002246 | [
"0002246_00.jpg",
"0002246_01.jpg",
"0002246_02.jpg",
"0002246_03.jpg",
"0002246_04.jpg",
"0002246_05.jpg",
"0002246_06.jpg",
"0002246_07.jpg",
"0002246_08.jpg",
"0002246_09.jpg",
"0002246_10.jpg",
"0002246_11.jpg",
"0002246_12.jpg",
"0002246_13.jpg",
"0002246_14.jpg",
"0002246_15.jpg",
"0002246_16.jpg",
"0002246_17.jpg",
"0002246_18.jpg",
"0002246_19.jpg",
"0002246_20.jpg",
"0002246_21.jpg",
"0002246_22.jpg",
"0002246_23.jpg"
] | electric car Tesla stuck on the road, sparks, realistic, daylight, 4K | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002246.mp4 | 2 | 3 | 1 | 1 | 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 \"electric car Tesla stuck on the road, sparks, realistic, daylight, 4K\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 1\n factual consistency: 3\n"
}
] |
1002079 | [
"1002079_00.jpg",
"1002079_01.jpg",
"1002079_02.jpg",
"1002079_03.jpg",
"1002079_04.jpg",
"1002079_05.jpg",
"1002079_06.jpg",
"1002079_07.jpg",
"1002079_08.jpg",
"1002079_09.jpg",
"1002079_10.jpg",
"1002079_11.jpg",
"1002079_12.jpg",
"1002079_13.jpg",
"1002079_14.jpg",
"1002079_15.jpg"
] | In the village street the girl slowly walking forward and the boy yawns with arms outstretched. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002079.mp4 | 1 | 1 | 3 | 2 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"In the village street the girl slowly walking forward and the boy yawns with arms outstretched.\",\nall the frames of video are as 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: 2\n factual consistency: 1\n"
}
] |
2000635 | [
"2000635_00.jpg",
"2000635_01.jpg",
"2000635_02.jpg",
"2000635_03.jpg",
"2000635_04.jpg",
"2000635_05.jpg",
"2000635_06.jpg",
"2000635_07.jpg",
"2000635_08.jpg",
"2000635_09.jpg",
"2000635_10.jpg",
"2000635_11.jpg",
"2000635_12.jpg",
"2000635_13.jpg",
"2000635_14.jpg",
"2000635_15.jpg"
] | White herds flying, pink clouds, gentle sun, buffaloes eating grass, mountains | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000635.mp4 | 2 | 3 | 3 | 1 | 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 \"White herds flying, pink clouds, gentle sun, buffaloes eating grass, mountains\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 1\n factual consistency: 2\n"
}
] |
4001982 | [
"4001982_00.jpg",
"4001982_01.jpg",
"4001982_02.jpg",
"4001982_03.jpg",
"4001982_04.jpg",
"4001982_05.jpg",
"4001982_06.jpg",
"4001982_07.jpg",
"4001982_08.jpg",
"4001982_09.jpg",
"4001982_10.jpg",
"4001982_11.jpg",
"4001982_12.jpg",
"4001982_13.jpg",
"4001982_14.jpg",
"4001982_15.jpg"
] | a man with combination looking over the door glasse in a laboratory, pandemic scene | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001982.mp4 | 3 | 3 | 3 | 3 | 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 with combination looking over the door glasse in a laboratory, pandemic scene\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 3\n factual consistency: 3\n"
}
] |
6001819 | [
"6001819_00.jpg",
"6001819_01.jpg",
"6001819_02.jpg",
"6001819_03.jpg",
"6001819_04.jpg",
"6001819_05.jpg",
"6001819_06.jpg",
"6001819_07.jpg",
"6001819_08.jpg",
"6001819_09.jpg",
"6001819_10.jpg",
"6001819_11.jpg",
"6001819_12.jpg",
"6001819_13.jpg",
"6001819_14.jpg",
"6001819_15.jpg"
] | Create a scene of Proboscis Monkeys vocalizing in the early morning, capturing the atmosphere of a jungle awakening, ultra realistic, 8k, cinematic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001819.mp4 | 2 | 2 | 3 | 1 | 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 scene of Proboscis Monkeys vocalizing in the early morning, capturing the atmosphere of a jungle awakening, ultra realistic, 8k, cinematic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 1\n factual consistency: 1\n"
}
] |
7001430 | [
"7001430_00.jpg",
"7001430_01.jpg",
"7001430_02.jpg",
"7001430_03.jpg",
"7001430_04.jpg",
"7001430_05.jpg",
"7001430_06.jpg",
"7001430_07.jpg"
] | a girl died in water and having little blood and a crocodile watching this | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001430.mp4 | 2 | 3 | 3 | 1 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a girl died in water and having little blood and a crocodile watching this\",\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: 1\n factual consistency: 2\n"
}
] |
3002989 | [
"3002989_00.jpg",
"3002989_01.jpg",
"3002989_02.jpg",
"3002989_03.jpg",
"3002989_04.jpg",
"3002989_05.jpg",
"3002989_06.jpg",
"3002989_07.jpg",
"3002989_08.jpg",
"3002989_09.jpg",
"3002989_10.jpg",
"3002989_11.jpg",
"3002989_12.jpg",
"3002989_13.jpg",
"3002989_14.jpg",
"3002989_15.jpg"
] | an animated donald trump walking into a court house, detailed, cartoon | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002989.mp4 | 2 | 1 | 2 | 2 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"an animated donald trump walking into a court house, detailed, cartoon\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 2\n text-to-video alignment: 2\n factual consistency: 2\n"
}
] |
6001718 | [
"6001718_00.jpg",
"6001718_01.jpg",
"6001718_02.jpg",
"6001718_03.jpg",
"6001718_04.jpg",
"6001718_05.jpg",
"6001718_06.jpg",
"6001718_07.jpg",
"6001718_08.jpg",
"6001718_09.jpg",
"6001718_10.jpg",
"6001718_11.jpg",
"6001718_12.jpg",
"6001718_13.jpg",
"6001718_14.jpg",
"6001718_15.jpg"
] | a ship caught in storm and destroy | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001718.mp4 | 1 | 2 | 3 | 3 | 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 ship caught in storm and destroy\",\nall the frames of video are as 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: 3\n factual consistency: 1\n"
}
] |
1002562 | [
"1002562_00.jpg",
"1002562_01.jpg",
"1002562_02.jpg",
"1002562_03.jpg",
"1002562_04.jpg",
"1002562_05.jpg",
"1002562_06.jpg",
"1002562_07.jpg",
"1002562_08.jpg",
"1002562_09.jpg",
"1002562_10.jpg",
"1002562_11.jpg",
"1002562_12.jpg",
"1002562_13.jpg",
"1002562_14.jpg",
"1002562_15.jpg"
] | Show a scene of a couple, Mr. and Mrs. Adams sitting on a couch, browsing through real estate listings on a tablet. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002562.mp4 | 1 | 2 | 3 | 2 | 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 \"Show a scene of a couple, Mr. and Mrs. Adams sitting on a couch, browsing through real estate listings on a tablet.\",\nall the frames of video are as 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: 2\n factual consistency: 1\n"
}
] |
4001258 | [
"4001258_00.jpg",
"4001258_01.jpg",
"4001258_02.jpg",
"4001258_03.jpg",
"4001258_04.jpg",
"4001258_05.jpg",
"4001258_06.jpg",
"4001258_07.jpg",
"4001258_08.jpg",
"4001258_09.jpg",
"4001258_10.jpg",
"4001258_11.jpg",
"4001258_12.jpg",
"4001258_13.jpg",
"4001258_14.jpg",
"4001258_15.jpg"
] | an anthropomorphic old pair of socks hides behind the chair and looking, zoom in, a comic style character, 9:16 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001258.mp4 | 3 | 3 | 3 | 3 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"an anthropomorphic old pair of socks hides behind the chair and looking, zoom in, a comic style character, 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: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 3\n factual consistency: 3\n"
}
] |
0002335 | [
"0002335_00.jpg",
"0002335_01.jpg",
"0002335_02.jpg",
"0002335_03.jpg",
"0002335_04.jpg",
"0002335_05.jpg",
"0002335_06.jpg",
"0002335_07.jpg",
"0002335_08.jpg",
"0002335_09.jpg",
"0002335_10.jpg",
"0002335_11.jpg",
"0002335_12.jpg",
"0002335_13.jpg",
"0002335_14.jpg",
"0002335_15.jpg",
"0002335_16.jpg",
"0002335_17.jpg",
"0002335_18.jpg",
"0002335_19.jpg",
"0002335_20.jpg",
"0002335_21.jpg",
"0002335_22.jpg",
"0002335_23.jpg"
] | seed of a tree growing from a minimalist brain, pastel colors | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002335.mp4 | 3 | 3 | 1 | 3 | 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 \"seed of a tree growing from a minimalist brain, pastel colors\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 3\n factual consistency: 3\n"
}
] |
5000641 | [
"5000641_00.jpg",
"5000641_01.jpg",
"5000641_02.jpg",
"5000641_03.jpg",
"5000641_04.jpg",
"5000641_05.jpg",
"5000641_06.jpg",
"5000641_07.jpg",
"5000641_08.jpg",
"5000641_09.jpg",
"5000641_10.jpg",
"5000641_11.jpg",
"5000641_12.jpg",
"5000641_13.jpg",
"5000641_14.jpg",
"5000641_15.jpg"
] | portrait video showing people on earth looking at an angle in the sky, realistic, nature, night sky | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000641.mp4 | 3 | 3 | 2 | 1 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"portrait video showing people on earth looking at an angle in the sky, realistic, nature, night sky\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 1\n factual consistency: 3\n"
}
] |
3000883 | [
"3000883_00.jpg",
"3000883_01.jpg",
"3000883_02.jpg",
"3000883_03.jpg",
"3000883_04.jpg",
"3000883_05.jpg",
"3000883_06.jpg",
"3000883_07.jpg",
"3000883_08.jpg",
"3000883_09.jpg",
"3000883_10.jpg",
"3000883_11.jpg",
"3000883_12.jpg",
"3000883_13.jpg",
"3000883_14.jpg",
"3000883_15.jpg"
] | a little monk run mustard field 3d animation | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000883.mp4 | 2 | 3 | 3 | 3 | 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 little monk run mustard field 3d animation\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 3\n factual consistency: 3\n"
}
] |
7000578 | [
"7000578_00.jpg",
"7000578_01.jpg",
"7000578_02.jpg",
"7000578_03.jpg",
"7000578_04.jpg",
"7000578_05.jpg",
"7000578_06.jpg",
"7000578_07.jpg"
] | a young girl with long hair is diving with dolphin in sea | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000578.mp4 | 2 | 1 | 3 | 3 | 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 young girl with long hair is diving with dolphin in sea\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 3\n factual consistency: 3\n"
}
] |
0000199 | [
"0000199_00.jpg",
"0000199_01.jpg",
"0000199_02.jpg",
"0000199_03.jpg",
"0000199_04.jpg",
"0000199_05.jpg",
"0000199_06.jpg",
"0000199_07.jpg",
"0000199_08.jpg",
"0000199_09.jpg",
"0000199_10.jpg",
"0000199_11.jpg",
"0000199_12.jpg",
"0000199_13.jpg",
"0000199_14.jpg",
"0000199_15.jpg",
"0000199_16.jpg",
"0000199_17.jpg",
"0000199_18.jpg",
"0000199_19.jpg",
"0000199_20.jpg",
"0000199_21.jpg",
"0000199_22.jpg",
"0000199_23.jpg"
] | micky mouse run in a maze of seo terms | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000199.mp4 | 3 | 2 | 2 | 3 | 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 \"micky mouse run in a maze of seo terms\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 3\n factual consistency: 3\n"
}
] |
7000299 | [
"7000299_00.jpg",
"7000299_01.jpg",
"7000299_02.jpg",
"7000299_03.jpg",
"7000299_04.jpg",
"7000299_05.jpg",
"7000299_06.jpg",
"7000299_07.jpg"
] | show universe with beautifiul stars in different colours | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000299.mp4 | 3 | 3 | 3 | 3 | 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 \"show universe with beautifiul stars in different colours\",\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: 3\n factual consistency: 3\n"
}
] |
2002523 | [
"2002523_00.jpg",
"2002523_01.jpg",
"2002523_02.jpg",
"2002523_03.jpg",
"2002523_04.jpg",
"2002523_05.jpg",
"2002523_06.jpg",
"2002523_07.jpg",
"2002523_08.jpg",
"2002523_09.jpg",
"2002523_10.jpg",
"2002523_11.jpg",
"2002523_12.jpg",
"2002523_13.jpg",
"2002523_14.jpg",
"2002523_15.jpg"
] | novak djokovic wildly celebrating a match point | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002523.mp4 | 2 | 2 | 3 | 3 | 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 \"novak djokovic wildly celebrating a match point\",\nall the frames of video are as 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: 3\n factual consistency: 3\n"
}
] |
7001802 | [
"7001802_00.jpg",
"7001802_01.jpg",
"7001802_02.jpg",
"7001802_03.jpg",
"7001802_04.jpg",
"7001802_05.jpg",
"7001802_06.jpg",
"7001802_07.jpg"
] | the name destiny in cool art | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001802.mp4 | 2 | 3 | 3 | 2 | 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 name destiny in cool art\",\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: 2\n factual consistency: 3\n"
}
] |
3000916 | [
"3000916_00.jpg",
"3000916_01.jpg",
"3000916_02.jpg",
"3000916_03.jpg",
"3000916_04.jpg",
"3000916_05.jpg",
"3000916_06.jpg",
"3000916_07.jpg",
"3000916_08.jpg",
"3000916_09.jpg",
"3000916_10.jpg",
"3000916_11.jpg",
"3000916_12.jpg",
"3000916_13.jpg",
"3000916_14.jpg",
"3000916_15.jpg"
] | A young Chinese programmer programs in front of a computer and the camera zoomed in on the screen | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000916.mp4 | 3 | 1 | 3 | 1 | 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 young Chinese programmer programs in front of a computer and the camera zoomed in on the screen\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 1\n factual consistency: 1\n"
}
] |
5000100 | [
"5000100_00.jpg",
"5000100_01.jpg",
"5000100_02.jpg",
"5000100_03.jpg",
"5000100_04.jpg",
"5000100_05.jpg",
"5000100_06.jpg",
"5000100_07.jpg",
"5000100_08.jpg",
"5000100_09.jpg",
"5000100_10.jpg",
"5000100_11.jpg",
"5000100_12.jpg",
"5000100_13.jpg",
"5000100_14.jpg",
"5000100_15.jpg"
] | Medium shot, black and white silhouette of a woman playing the grand piano, crimson light intermittently illuminates her, 70mm film, IMAX film, Film Noir | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000100.mp4 | 3 | 2 | 3 | 3 | 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 \"Medium shot, black and white silhouette of a woman playing the grand piano, crimson light intermittently illuminates her, 70mm film, IMAX film, Film Noir\",\nall the frames of video are as 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: 3\n factual consistency: 2\n"
}
] |
6001673 | [
"6001673_00.jpg",
"6001673_01.jpg",
"6001673_02.jpg",
"6001673_03.jpg",
"6001673_04.jpg",
"6001673_05.jpg",
"6001673_06.jpg",
"6001673_07.jpg",
"6001673_08.jpg",
"6001673_09.jpg",
"6001673_10.jpg",
"6001673_11.jpg",
"6001673_12.jpg",
"6001673_13.jpg",
"6001673_14.jpg",
"6001673_15.jpg"
] | show some 16th century farmers hitting with their sticks some dutch soldiers. hyper realistic 4k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001673.mp4 | 1 | 2 | 3 | 3 | 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 \"show some 16th century farmers hitting with their sticks some dutch soldiers. hyper realistic 4k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 3\n factual consistency: 1\n"
}
] |
0000111 | [
"0000111_00.jpg",
"0000111_01.jpg",
"0000111_02.jpg",
"0000111_03.jpg",
"0000111_04.jpg",
"0000111_05.jpg",
"0000111_06.jpg",
"0000111_07.jpg",
"0000111_08.jpg",
"0000111_09.jpg",
"0000111_10.jpg",
"0000111_11.jpg",
"0000111_12.jpg",
"0000111_13.jpg",
"0000111_14.jpg",
"0000111_15.jpg",
"0000111_16.jpg",
"0000111_17.jpg",
"0000111_18.jpg",
"0000111_19.jpg",
"0000111_20.jpg",
"0000111_21.jpg",
"0000111_22.jpg",
"0000111_23.jpg"
] | cinematic, bird eye view shot of deep narrow george between himalayas | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000111.mp4 | 4 | 4 | 4 | 4 | 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 \"cinematic, bird eye view shot of deep narrow george between himalayas\",\nall the 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: 4\n factual consistency: 4\n"
}
] |
3000269 | [
"3000269_00.jpg",
"3000269_01.jpg",
"3000269_02.jpg",
"3000269_03.jpg",
"3000269_04.jpg",
"3000269_05.jpg",
"3000269_06.jpg",
"3000269_07.jpg",
"3000269_08.jpg",
"3000269_09.jpg",
"3000269_10.jpg",
"3000269_11.jpg",
"3000269_12.jpg",
"3000269_13.jpg",
"3000269_14.jpg",
"3000269_15.jpg"
] | old grannies on a bench Message: timurlox (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000269.mp4 | 3 | 3 | 1 | 3 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"old grannies on a bench Message: timurlox (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 3\n factual consistency: 3\n"
}
] |
2000645 | [
"2000645_00.jpg",
"2000645_01.jpg",
"2000645_02.jpg",
"2000645_03.jpg",
"2000645_04.jpg",
"2000645_05.jpg",
"2000645_06.jpg",
"2000645_07.jpg",
"2000645_08.jpg",
"2000645_09.jpg",
"2000645_10.jpg",
"2000645_11.jpg",
"2000645_12.jpg",
"2000645_13.jpg",
"2000645_14.jpg",
"2000645_15.jpg"
] | A beautiful girl wearing a burgundy hijab that covers all that yellow hair, and she wear a long black skirt and a beautiful brown coat, she has green eyes, and a cute little nose. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000645.mp4 | 3 | 3 | 3 | 1 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A beautiful girl wearing a burgundy hijab that covers all that yellow hair, and she wear a long black skirt and a beautiful brown coat, she has green eyes, and a cute little nose.\",\nall the frames of video are as 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: 1\n factual consistency: 3\n"
}
] |
0002707 | [
"0002707_00.jpg",
"0002707_01.jpg",
"0002707_02.jpg",
"0002707_03.jpg",
"0002707_04.jpg",
"0002707_05.jpg",
"0002707_06.jpg",
"0002707_07.jpg",
"0002707_08.jpg",
"0002707_09.jpg",
"0002707_10.jpg",
"0002707_11.jpg",
"0002707_12.jpg",
"0002707_13.jpg",
"0002707_14.jpg",
"0002707_15.jpg",
"0002707_16.jpg",
"0002707_17.jpg",
"0002707_18.jpg",
"0002707_19.jpg",
"0002707_20.jpg",
"0002707_21.jpg",
"0002707_22.jpg",
"0002707_23.jpg"
] | Neon airships floating through the night sky advertising products as the propellers spin. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002707.mp4 | 3 | 3 | 3 | 3 | 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 \"Neon airships floating through the night sky advertising products as the propellers spin.\",\nall the 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: 3\n factual consistency: 3\n"
}
] |
2000205 | [
"2000205_00.jpg",
"2000205_01.jpg",
"2000205_02.jpg",
"2000205_03.jpg",
"2000205_04.jpg",
"2000205_05.jpg",
"2000205_06.jpg",
"2000205_07.jpg",
"2000205_08.jpg",
"2000205_09.jpg",
"2000205_10.jpg",
"2000205_11.jpg",
"2000205_12.jpg",
"2000205_13.jpg",
"2000205_14.jpg",
"2000205_15.jpg"
] | The sunflower with its head down | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000205.mp4 | 3 | 3 | 2 | 3 | 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 sunflower with its head down\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 3\n factual consistency: 3\n"
}
] |
1000156 | [
"1000156_00.jpg",
"1000156_01.jpg",
"1000156_02.jpg",
"1000156_03.jpg",
"1000156_04.jpg",
"1000156_05.jpg",
"1000156_06.jpg",
"1000156_07.jpg",
"1000156_08.jpg",
"1000156_09.jpg",
"1000156_10.jpg",
"1000156_11.jpg",
"1000156_12.jpg",
"1000156_13.jpg",
"1000156_14.jpg",
"1000156_15.jpg"
] | A child will love that side of the family where the mother feels secure and at home. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000156.mp4 | 1 | 1 | 3 | 2 | 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 child will love that side of the family where the mother feels secure and at home.\",\nall the frames of video are as 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: 2\n factual consistency: 1\n"
}
] |
1002598 | [
"1002598_00.jpg",
"1002598_01.jpg",
"1002598_02.jpg",
"1002598_03.jpg",
"1002598_04.jpg",
"1002598_05.jpg",
"1002598_06.jpg",
"1002598_07.jpg",
"1002598_08.jpg",
"1002598_09.jpg",
"1002598_10.jpg",
"1002598_11.jpg",
"1002598_12.jpg",
"1002598_13.jpg",
"1002598_14.jpg",
"1002598_15.jpg"
] | Illustration of Timmy and Whiskers playing in the backyard. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002598.mp4 | 1 | 1 | 3 | 2 | 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 \"Illustration of Timmy and Whiskers playing in the backyard.\",\nall the frames of video are as 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: 2\n factual consistency: 1\n"
}
] |
2001069 | [
"2001069_00.jpg",
"2001069_01.jpg",
"2001069_02.jpg",
"2001069_03.jpg",
"2001069_04.jpg",
"2001069_05.jpg",
"2001069_06.jpg",
"2001069_07.jpg",
"2001069_08.jpg",
"2001069_09.jpg",
"2001069_10.jpg",
"2001069_11.jpg",
"2001069_12.jpg",
"2001069_13.jpg",
"2001069_14.jpg",
"2001069_15.jpg"
] | barbie in pink dress holding cake in hand background with birthday party 4k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001069.mp4 | 3 | 3 | 1 | 3 | 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 \"barbie in pink dress holding cake in hand background with birthday party 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: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 3\n factual consistency: 3\n"
}
] |
2002568 | [
"2002568_00.jpg",
"2002568_01.jpg",
"2002568_02.jpg",
"2002568_03.jpg",
"2002568_04.jpg",
"2002568_05.jpg",
"2002568_06.jpg",
"2002568_07.jpg",
"2002568_08.jpg",
"2002568_09.jpg",
"2002568_10.jpg",
"2002568_11.jpg",
"2002568_12.jpg",
"2002568_13.jpg",
"2002568_14.jpg",
"2002568_15.jpg"
] | the cartoon style, two chinese friends dance together | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002568.mp4 | 3 | 3 | 3 | 3 | 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 cartoon style, two chinese friends dance 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: 3\n factual consistency: 3\n"
}
] |
0000845 | [
"0000845_00.jpg",
"0000845_01.jpg",
"0000845_02.jpg",
"0000845_03.jpg",
"0000845_04.jpg",
"0000845_05.jpg",
"0000845_06.jpg",
"0000845_07.jpg",
"0000845_08.jpg",
"0000845_09.jpg",
"0000845_10.jpg",
"0000845_11.jpg",
"0000845_12.jpg",
"0000845_13.jpg",
"0000845_14.jpg",
"0000845_15.jpg",
"0000845_16.jpg",
"0000845_17.jpg",
"0000845_18.jpg",
"0000845_19.jpg",
"0000845_20.jpg",
"0000845_21.jpg",
"0000845_22.jpg",
"0000845_23.jpg"
] | Felix felt so sad and lost that he had no one to take care of him or guide him in this huge forest. He started wandering in search of food and shelter, and every day he faced many challenges and dangers. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000845.mp4 | 2 | 3 | 2 | 3 | 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 \"Felix felt so sad and lost that he had no one to take care of him or guide him in this huge forest. He started wandering in search of food and shelter, and every day he faced many challenges and dangers.\",\nall the 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: 3\n factual consistency: 3\n"
}
] |
3002164 | [
"3002164_00.jpg",
"3002164_01.jpg",
"3002164_02.jpg",
"3002164_03.jpg",
"3002164_04.jpg",
"3002164_05.jpg",
"3002164_06.jpg",
"3002164_07.jpg",
"3002164_08.jpg",
"3002164_09.jpg",
"3002164_10.jpg",
"3002164_11.jpg",
"3002164_12.jpg",
"3002164_13.jpg",
"3002164_14.jpg",
"3002164_15.jpg"
] | a futuristic city, in the style of atey ghailan, moebius, and john singer sargent open scene, color palette: pink mint, creme, red and black | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002164.mp4 | 2 | 3 | 3 | 3 | 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 futuristic city, in the style of atey ghailan, moebius, and john singer sargent open scene, color palette: pink mint, creme, red and black\",\nall the frames of video are as 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: 3\n factual consistency: 3\n"
}
] |
2000987 | [
"2000987_00.jpg",
"2000987_01.jpg",
"2000987_02.jpg",
"2000987_03.jpg",
"2000987_04.jpg",
"2000987_05.jpg",
"2000987_06.jpg",
"2000987_07.jpg",
"2000987_08.jpg",
"2000987_09.jpg",
"2000987_10.jpg",
"2000987_11.jpg",
"2000987_12.jpg",
"2000987_13.jpg",
"2000987_14.jpg",
"2000987_15.jpg"
] | Alex accepting the trophy with a grateful smile. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000987.mp4 | 3 | 2 | 3 | 3 | 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 \"Alex accepting the trophy with a grateful smile.\",\nall the frames of video are as 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: 3\n factual consistency: 2\n"
}
] |
0001117 | [
"0001117_00.jpg",
"0001117_01.jpg",
"0001117_02.jpg",
"0001117_03.jpg",
"0001117_04.jpg",
"0001117_05.jpg",
"0001117_06.jpg",
"0001117_07.jpg",
"0001117_08.jpg",
"0001117_09.jpg",
"0001117_10.jpg",
"0001117_11.jpg",
"0001117_12.jpg",
"0001117_13.jpg",
"0001117_14.jpg",
"0001117_15.jpg",
"0001117_16.jpg",
"0001117_17.jpg",
"0001117_18.jpg",
"0001117_19.jpg",
"0001117_20.jpg",
"0001117_21.jpg",
"0001117_22.jpg",
"0001117_23.jpg"
] | a women with pink hair and white skin with bikini running in Iceland | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001117.mp4 | 3 | 3 | 3 | 3 | 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 women with pink hair and white skin with bikini running in Iceland\",\nall the 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: 3\n factual consistency: 3\n"
}
] |
1002090 | [
"1002090_00.jpg",
"1002090_01.jpg",
"1002090_02.jpg",
"1002090_03.jpg",
"1002090_04.jpg",
"1002090_05.jpg",
"1002090_06.jpg",
"1002090_07.jpg",
"1002090_08.jpg",
"1002090_09.jpg",
"1002090_10.jpg",
"1002090_11.jpg",
"1002090_12.jpg",
"1002090_13.jpg",
"1002090_14.jpg",
"1002090_15.jpg"
] | Bart Simson smiling eating corn in a glass. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002090.mp4 | 1 | 2 | 3 | 2 | 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 \"Bart Simson smiling eating corn in a glass.\",\nall the frames of video are as 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: 2\n factual consistency: 1\n"
}
] |
6000583 | [
"6000583_00.jpg",
"6000583_01.jpg",
"6000583_02.jpg",
"6000583_03.jpg",
"6000583_04.jpg",
"6000583_05.jpg",
"6000583_06.jpg",
"6000583_07.jpg",
"6000583_08.jpg",
"6000583_09.jpg",
"6000583_10.jpg",
"6000583_11.jpg",
"6000583_12.jpg",
"6000583_13.jpg",
"6000583_14.jpg",
"6000583_15.jpg"
] | Swami Raman, a serene smile on his face, welcomed Rajesh into his ashram. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000583.mp4 | 2 | 3 | 3 | 3 | 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 \"Swami Raman, a serene smile on his face, welcomed Rajesh into his ashram.\",\nall the frames of video are as 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: 3\n factual consistency: 1\n"
}
] |
4000044 | [
"4000044_00.jpg",
"4000044_01.jpg",
"4000044_02.jpg",
"4000044_03.jpg",
"4000044_04.jpg",
"4000044_05.jpg",
"4000044_06.jpg",
"4000044_07.jpg",
"4000044_08.jpg",
"4000044_09.jpg",
"4000044_10.jpg",
"4000044_11.jpg",
"4000044_12.jpg",
"4000044_13.jpg",
"4000044_14.jpg",
"4000044_15.jpg"
] | large field with sunflowers in the early morning with wind | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000044.mp4 | 2 | 2 | 2 | 3 | 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 \"large field with sunflowers in the early morning with 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> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 3\n factual consistency: 3\n"
}
] |
2001534 | [
"2001534_00.jpg",
"2001534_01.jpg",
"2001534_02.jpg",
"2001534_03.jpg",
"2001534_04.jpg",
"2001534_05.jpg",
"2001534_06.jpg",
"2001534_07.jpg",
"2001534_08.jpg",
"2001534_09.jpg",
"2001534_10.jpg",
"2001534_11.jpg",
"2001534_12.jpg",
"2001534_13.jpg",
"2001534_14.jpg",
"2001534_15.jpg"
] | supper man battle some people who want to eate bleed | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001534.mp4 | 3 | 3 | 3 | 3 | 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 \"supper man battle some people who want to eate bleed\",\nall the frames of video are as 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: 3\n factual consistency: 3\n"
}
] |
5000666 | [
"5000666_00.jpg",
"5000666_01.jpg",
"5000666_02.jpg",
"5000666_03.jpg",
"5000666_04.jpg",
"5000666_05.jpg",
"5000666_06.jpg",
"5000666_07.jpg",
"5000666_08.jpg",
"5000666_09.jpg",
"5000666_10.jpg",
"5000666_11.jpg",
"5000666_12.jpg",
"5000666_13.jpg",
"5000666_14.jpg",
"5000666_15.jpg"
] | collective unconcious, disfigured, dmt entities, psychedelic, surreal, 4k, photorealistic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000666.mp4 | 3 | 1 | 3 | 3 | 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 \"collective unconcious, disfigured, dmt entities, psychedelic, surreal, 4k, photorealistic\",\nall the frames of video are as 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: 3\n factual consistency: 1\n"
}
] |
1001300 | [
"1001300_00.jpg",
"1001300_01.jpg",
"1001300_02.jpg",
"1001300_03.jpg",
"1001300_04.jpg",
"1001300_05.jpg",
"1001300_06.jpg",
"1001300_07.jpg",
"1001300_08.jpg",
"1001300_09.jpg",
"1001300_10.jpg",
"1001300_11.jpg",
"1001300_12.jpg",
"1001300_13.jpg",
"1001300_14.jpg",
"1001300_15.jpg"
] | modern abstract visual with snobbish undertone | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001300.mp4 | 1 | 1 | 3 | 2 | 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 \"modern abstract visual with snobbish undertone\",\nall the frames of video are as 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: 2\n factual consistency: 1\n"
}
] |
0000559 | [
"0000559_00.jpg",
"0000559_01.jpg",
"0000559_02.jpg",
"0000559_03.jpg",
"0000559_04.jpg",
"0000559_05.jpg",
"0000559_06.jpg",
"0000559_07.jpg",
"0000559_08.jpg",
"0000559_09.jpg",
"0000559_10.jpg",
"0000559_11.jpg",
"0000559_12.jpg",
"0000559_13.jpg",
"0000559_14.jpg",
"0000559_15.jpg",
"0000559_16.jpg",
"0000559_17.jpg",
"0000559_18.jpg",
"0000559_19.jpg",
"0000559_20.jpg",
"0000559_21.jpg",
"0000559_22.jpg",
"0000559_23.jpg"
] | eye moves AWAY FROM the image and sees | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000559.mp4 | 3 | 3 | 1 | 2 | 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 \"eye moves AWAY FROM the image and sees\",\nall the 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: 2\n factual consistency: 3\n"
}
] |
6001025 | [
"6001025_00.jpg",
"6001025_01.jpg",
"6001025_02.jpg",
"6001025_03.jpg",
"6001025_04.jpg",
"6001025_05.jpg",
"6001025_06.jpg",
"6001025_07.jpg",
"6001025_08.jpg",
"6001025_09.jpg",
"6001025_10.jpg",
"6001025_11.jpg",
"6001025_12.jpg",
"6001025_13.jpg",
"6001025_14.jpg",
"6001025_15.jpg"
] | ocean spirals on coastal sand Message: Euphoria (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001025.mp4 | 1 | 2 | 3 | 2 | 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 \"ocean spirals on coastal sand Message: Euphoria (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 2\n factual consistency: 1\n"
}
] |
0002871 | [
"0002871_00.jpg",
"0002871_01.jpg",
"0002871_02.jpg",
"0002871_03.jpg",
"0002871_04.jpg",
"0002871_05.jpg",
"0002871_06.jpg",
"0002871_07.jpg",
"0002871_08.jpg",
"0002871_09.jpg",
"0002871_10.jpg",
"0002871_11.jpg",
"0002871_12.jpg",
"0002871_13.jpg",
"0002871_14.jpg",
"0002871_15.jpg",
"0002871_16.jpg",
"0002871_17.jpg",
"0002871_18.jpg",
"0002871_19.jpg",
"0002871_20.jpg",
"0002871_21.jpg",
"0002871_22.jpg",
"0002871_23.jpg"
] | a fox sitting outside in front of a dark cave in forest | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002871.mp4 | 3 | 3 | 2 | 2 | 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 fox sitting outside in front of a dark cave in forest\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 2\n factual consistency: 3\n"
}
] |
3002076 | [
"3002076_00.jpg",
"3002076_01.jpg",
"3002076_02.jpg",
"3002076_03.jpg",
"3002076_04.jpg",
"3002076_05.jpg",
"3002076_06.jpg",
"3002076_07.jpg",
"3002076_08.jpg",
"3002076_09.jpg",
"3002076_10.jpg",
"3002076_11.jpg",
"3002076_12.jpg",
"3002076_13.jpg",
"3002076_14.jpg",
"3002076_15.jpg"
] | lion came out of his den and searched here and there | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002076.mp4 | 2 | 3 | 3 | 3 | 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 \"lion came out of his den and searched here and there\",\nall the frames of video are as 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: 3\n factual consistency: 3\n"
}
] |
7000514 | [
"7000514_00.jpg",
"7000514_01.jpg",
"7000514_02.jpg",
"7000514_03.jpg",
"7000514_04.jpg",
"7000514_05.jpg",
"7000514_06.jpg",
"7000514_07.jpg"
] | indigo fabric dye bleeding out onto wet silk in an irregular pattern | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000514.mp4 | 3 | 3 | 1 | 2 | 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 \"indigo fabric dye bleeding out onto wet silk in an irregular pattern\",\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: 1\n text-to-video alignment: 2\n factual consistency: 3\n"
}
] |
1001701 | [
"1001701_00.jpg",
"1001701_01.jpg",
"1001701_02.jpg",
"1001701_03.jpg",
"1001701_04.jpg",
"1001701_05.jpg",
"1001701_06.jpg",
"1001701_07.jpg",
"1001701_08.jpg",
"1001701_09.jpg",
"1001701_10.jpg",
"1001701_11.jpg",
"1001701_12.jpg",
"1001701_13.jpg",
"1001701_14.jpg",
"1001701_15.jpg"
] | surprised boys look at the ceiling | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001701.mp4 | 1 | 1 | 3 | 2 | 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 \"surprised boys look at the ceiling\",\nall the frames of video are as 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: 2\n factual consistency: 1\n"
}
] |
0000862 | [
"0000862_00.jpg",
"0000862_01.jpg",
"0000862_02.jpg",
"0000862_03.jpg",
"0000862_04.jpg",
"0000862_05.jpg",
"0000862_06.jpg",
"0000862_07.jpg",
"0000862_08.jpg",
"0000862_09.jpg",
"0000862_10.jpg",
"0000862_11.jpg",
"0000862_12.jpg",
"0000862_13.jpg",
"0000862_14.jpg",
"0000862_15.jpg",
"0000862_16.jpg",
"0000862_17.jpg",
"0000862_18.jpg",
"0000862_19.jpg",
"0000862_20.jpg",
"0000862_21.jpg",
"0000862_22.jpg",
"0000862_23.jpg"
] | a boy eating ramen in a futuristic cyberpunk city, neon lights, cinematic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000862.mp4 | 2 | 3 | 3 | 2 | 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 boy eating ramen in a futuristic cyberpunk city, neon lights, cinematic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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: 2\n factual consistency: 3\n"
}
] |
0000525 | [
"0000525_00.jpg",
"0000525_01.jpg",
"0000525_02.jpg",
"0000525_03.jpg",
"0000525_04.jpg",
"0000525_05.jpg",
"0000525_06.jpg",
"0000525_07.jpg",
"0000525_08.jpg",
"0000525_09.jpg",
"0000525_10.jpg",
"0000525_11.jpg",
"0000525_12.jpg",
"0000525_13.jpg",
"0000525_14.jpg",
"0000525_15.jpg",
"0000525_16.jpg",
"0000525_17.jpg",
"0000525_18.jpg",
"0000525_19.jpg",
"0000525_20.jpg",
"0000525_21.jpg",
"0000525_22.jpg",
"0000525_23.jpg"
] | walking toward the mass riot close up motion 4K 16:9 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000525.mp4 | 2 | 3 | 2 | 3 | 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 \"walking toward the mass riot close up motion 4K 16:9\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 3\n factual consistency: 3\n"
}
] |
2002212 | [
"2002212_00.jpg",
"2002212_01.jpg",
"2002212_02.jpg",
"2002212_03.jpg",
"2002212_04.jpg",
"2002212_05.jpg",
"2002212_06.jpg",
"2002212_07.jpg",
"2002212_08.jpg",
"2002212_09.jpg",
"2002212_10.jpg",
"2002212_11.jpg",
"2002212_12.jpg",
"2002212_13.jpg",
"2002212_14.jpg",
"2002212_15.jpg"
] | a group of people walk through the autumn forest on yellow leaves | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002212.mp4 | 2 | 3 | 3 | 3 | 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 group of people walk through the autumn forest on yellow leaves\",\nall the frames of video are as 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: 3\n factual consistency: 3\n"
}
] |
3000594 | [
"3000594_00.jpg",
"3000594_01.jpg",
"3000594_02.jpg",
"3000594_03.jpg",
"3000594_04.jpg",
"3000594_05.jpg",
"3000594_06.jpg",
"3000594_07.jpg",
"3000594_08.jpg",
"3000594_09.jpg",
"3000594_10.jpg",
"3000594_11.jpg",
"3000594_12.jpg",
"3000594_13.jpg",
"3000594_14.jpg",
"3000594_15.jpg"
] | bionic woman looking for energy with wifi | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000594.mp4 | 2 | 1 | 3 | 1 | 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 \"bionic woman looking for energy with wifi\",\nall the frames of video are as 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: 1\n factual consistency: 1\n"
}
] |
6000533 | [
"6000533_00.jpg",
"6000533_01.jpg",
"6000533_02.jpg",
"6000533_03.jpg",
"6000533_04.jpg",
"6000533_05.jpg",
"6000533_06.jpg",
"6000533_07.jpg",
"6000533_08.jpg",
"6000533_09.jpg",
"6000533_10.jpg",
"6000533_11.jpg",
"6000533_12.jpg",
"6000533_13.jpg",
"6000533_14.jpg",
"6000533_15.jpg"
] | horrifying television show, trippy, dark, dystopia, warm fuzzy colours, television aesthetic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000533.mp4 | 1 | 2 | 3 | 1 | 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 \"horrifying television show, trippy, dark, dystopia, warm fuzzy colours, television aesthetic\",\nall the frames of video are as 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: 1\n factual consistency: 1\n"
}
] |
4000108 | [
"4000108_00.jpg",
"4000108_01.jpg",
"4000108_02.jpg",
"4000108_03.jpg",
"4000108_04.jpg",
"4000108_05.jpg",
"4000108_06.jpg",
"4000108_07.jpg",
"4000108_08.jpg",
"4000108_09.jpg",
"4000108_10.jpg",
"4000108_11.jpg",
"4000108_12.jpg",
"4000108_13.jpg",
"4000108_14.jpg",
"4000108_15.jpg"
] | ladygaga is dancing in the swimming pool | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000108.mp4 | 2 | 2 | 3 | 2 | 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 \"ladygaga is dancing in the swimming pool\",\nall the frames of video are as 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: 2\n factual consistency: 1\n"
}
] |
3002150 | [
"3002150_00.jpg",
"3002150_01.jpg",
"3002150_02.jpg",
"3002150_03.jpg",
"3002150_04.jpg",
"3002150_05.jpg",
"3002150_06.jpg",
"3002150_07.jpg",
"3002150_08.jpg",
"3002150_09.jpg",
"3002150_10.jpg",
"3002150_11.jpg",
"3002150_12.jpg",
"3002150_13.jpg",
"3002150_14.jpg",
"3002150_15.jpg"
] | a bird flies into a fractal storm | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002150.mp4 | 2 | 2 | 3 | 1 | 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 bird flies into a fractal storm\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 1\n factual consistency: 1\n"
}
] |
0001730 | [
"0001730_00.jpg",
"0001730_01.jpg",
"0001730_02.jpg",
"0001730_03.jpg",
"0001730_04.jpg",
"0001730_05.jpg",
"0001730_06.jpg",
"0001730_07.jpg",
"0001730_08.jpg",
"0001730_09.jpg",
"0001730_10.jpg",
"0001730_11.jpg",
"0001730_12.jpg",
"0001730_13.jpg",
"0001730_14.jpg",
"0001730_15.jpg",
"0001730_16.jpg",
"0001730_17.jpg",
"0001730_18.jpg",
"0001730_19.jpg",
"0001730_20.jpg",
"0001730_21.jpg",
"0001730_22.jpg",
"0001730_23.jpg"
] | cinematic low light portrait shot of woman sitting in front of screen, that show surveillance recording | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001730.mp4 | 3 | 3 | 2 | 3 | 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 \"cinematic low light portrait shot of woman sitting in front of screen, that show surveillance recording\",\nall the 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: 3\n factual consistency: 3\n"
}
] |
1002435 | [
"1002435_00.jpg",
"1002435_01.jpg",
"1002435_02.jpg",
"1002435_03.jpg",
"1002435_04.jpg",
"1002435_05.jpg",
"1002435_06.jpg",
"1002435_07.jpg",
"1002435_08.jpg",
"1002435_09.jpg",
"1002435_10.jpg",
"1002435_11.jpg",
"1002435_12.jpg",
"1002435_13.jpg",
"1002435_14.jpg",
"1002435_15.jpg"
] | ancient scribes in an ancient building with ancient lamps, writing the scripture on a scroll diligently on an ancient table. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002435.mp4 | 1 | 2 | 3 | 2 | 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 \"ancient scribes in an ancient building with ancient lamps, writing the scripture on a scroll diligently on an ancient 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: 2\n dynamic degree: 3\n text-to-video alignment: 2\n factual consistency: 1\n"
}
] |
1002328 | [
"1002328_00.jpg",
"1002328_01.jpg",
"1002328_02.jpg",
"1002328_03.jpg",
"1002328_04.jpg",
"1002328_05.jpg",
"1002328_06.jpg",
"1002328_07.jpg",
"1002328_08.jpg",
"1002328_09.jpg",
"1002328_10.jpg",
"1002328_11.jpg",
"1002328_12.jpg",
"1002328_13.jpg",
"1002328_14.jpg",
"1002328_15.jpg"
] | Vasco da gama meeting Zamorin for the first time | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002328.mp4 | 1 | 1 | 3 | 2 | 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 \"Vasco da gama meeting Zamorin for the first time\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 2\n factual consistency: 1\n"
}
] |
3001257 | [
"3001257_00.jpg",
"3001257_01.jpg",
"3001257_02.jpg",
"3001257_03.jpg",
"3001257_04.jpg",
"3001257_05.jpg",
"3001257_06.jpg",
"3001257_07.jpg",
"3001257_08.jpg",
"3001257_09.jpg",
"3001257_10.jpg",
"3001257_11.jpg",
"3001257_12.jpg",
"3001257_13.jpg",
"3001257_14.jpg",
"3001257_15.jpg"
] | apostle paul in the bible walking | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001257.mp4 | 3 | 2 | 3 | 2 | 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 \"apostle paul in the bible walking\",\nall the frames of video are as 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: 2\n factual consistency: 2\n"
}
] |
3002578 | [
"3002578_00.jpg",
"3002578_01.jpg",
"3002578_02.jpg",
"3002578_03.jpg",
"3002578_04.jpg",
"3002578_05.jpg",
"3002578_06.jpg",
"3002578_07.jpg",
"3002578_08.jpg",
"3002578_09.jpg",
"3002578_10.jpg",
"3002578_11.jpg",
"3002578_12.jpg",
"3002578_13.jpg",
"3002578_14.jpg",
"3002578_15.jpg"
] | a lady of the woods discovers a mushroom, she eats the mushrooms and gets sent to another world, Disney style art | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002578.mp4 | 2 | 1 | 3 | 1 | 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 lady of the woods discovers a mushroom, she eats the mushrooms and gets sent to another world, Disney style art\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 1\n factual consistency: 1\n"
}
] |
8000995 | [
"8000995_00.jpg",
"8000995_01.jpg",
"8000995_02.jpg",
"8000995_03.jpg",
"8000995_04.jpg",
"8000995_05.jpg",
"8000995_06.jpg",
"8000995_07.jpg",
"8000995_08.jpg",
"8000995_09.jpg",
"8000995_10.jpg",
"8000995_11.jpg",
"8000995_12.jpg",
"8000995_13.jpg",
"8000995_14.jpg",
"8000995_15.jpg",
"8000995_16.jpg",
"8000995_17.jpg",
"8000995_18.jpg",
"8000995_19.jpg",
"8000995_20.jpg",
"8000995_21.jpg",
"8000995_22.jpg",
"8000995_23.jpg"
] | David a 10 year old handsome boy walking in the village square where clock tower is kept | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000995.mp4 | 1 | 2 | 3 | 2 | 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 \"David a 10 year old handsome boy walking in the village square where clock tower is kept\",\nall the 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: 2\n factual consistency: 1\n"
}
] |
6000040 | [
"6000040_00.jpg",
"6000040_01.jpg",
"6000040_02.jpg",
"6000040_03.jpg",
"6000040_04.jpg",
"6000040_05.jpg",
"6000040_06.jpg",
"6000040_07.jpg",
"6000040_08.jpg",
"6000040_09.jpg",
"6000040_10.jpg",
"6000040_11.jpg",
"6000040_12.jpg",
"6000040_13.jpg",
"6000040_14.jpg",
"6000040_15.jpg"
] | a child following an a.i robot (who is a master if all universal laws )walking through a space wormhole make sure animation is clear and hd | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000040.mp4 | 1 | 2 | 3 | 3 | 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 child following an a.i robot (who is a master if all universal laws )walking through a space wormhole make sure animation is clear and hd\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 3\n factual consistency: 1\n"
}
] |
3001128 | [
"3001128_00.jpg",
"3001128_01.jpg",
"3001128_02.jpg",
"3001128_03.jpg",
"3001128_04.jpg",
"3001128_05.jpg",
"3001128_06.jpg",
"3001128_07.jpg",
"3001128_08.jpg",
"3001128_09.jpg",
"3001128_10.jpg",
"3001128_11.jpg",
"3001128_12.jpg",
"3001128_13.jpg",
"3001128_14.jpg",
"3001128_15.jpg"
] | a view of going into the depth of ocean | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001128.mp4 | 1 | 1 | 3 | 1 | 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 view of going into the depth of ocean\",\nall the frames of video are as 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: 1\n factual consistency: 1\n"
}
] |
3001998 | [
"3001998_00.jpg",
"3001998_01.jpg",
"3001998_02.jpg",
"3001998_03.jpg",
"3001998_04.jpg",
"3001998_05.jpg",
"3001998_06.jpg",
"3001998_07.jpg",
"3001998_08.jpg",
"3001998_09.jpg",
"3001998_10.jpg",
"3001998_11.jpg",
"3001998_12.jpg",
"3001998_13.jpg",
"3001998_14.jpg",
"3001998_15.jpg"
] | realistic photo of the universe taken from a spacecraft Message: EUPHORIA (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001998.mp4 | 2 | 1 | 3 | 1 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"realistic photo of the universe taken from a spacecraft Message: EUPHORIA (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: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 1\n factual consistency: 1\n"
}
] |
2000118 | [
"2000118_00.jpg",
"2000118_01.jpg",
"2000118_02.jpg",
"2000118_03.jpg",
"2000118_04.jpg",
"2000118_05.jpg",
"2000118_06.jpg",
"2000118_07.jpg",
"2000118_08.jpg",
"2000118_09.jpg",
"2000118_10.jpg",
"2000118_11.jpg",
"2000118_12.jpg",
"2000118_13.jpg",
"2000118_14.jpg",
"2000118_15.jpg"
] | husband forgot wedding memory day’s gift,wife is angry. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000118.mp4 | 3 | 3 | 3 | 3 | 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 \"husband forgot wedding memory day’s gift,wife is angry.\",\nall the frames of video are as 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: 3\n factual consistency: 3\n"
}
] |
2000636 | [
"2000636_00.jpg",
"2000636_01.jpg",
"2000636_02.jpg",
"2000636_03.jpg",
"2000636_04.jpg",
"2000636_05.jpg",
"2000636_06.jpg",
"2000636_07.jpg",
"2000636_08.jpg",
"2000636_09.jpg",
"2000636_10.jpg",
"2000636_11.jpg",
"2000636_12.jpg",
"2000636_13.jpg",
"2000636_14.jpg",
"2000636_15.jpg"
] | donning a black leather jacket and light jeans, standing under the starry sky, showcasing a handsome and stylish look | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000636.mp4 | 2 | 3 | 3 | 3 | 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 \"donning a black leather jacket and light jeans, standing under the starry sky, showcasing a handsome and stylish look\",\nall the frames of video are as 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: 3\n factual consistency: 2\n"
}
] |
7001296 | [
"7001296_00.jpg",
"7001296_01.jpg",
"7001296_02.jpg",
"7001296_03.jpg",
"7001296_04.jpg",
"7001296_05.jpg",
"7001296_06.jpg",
"7001296_07.jpg"
] | man in luxury apartment looking over city | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001296.mp4 | 2 | 3 | 3 | 3 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"man in luxury apartment looking over city\",\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: 3\n factual consistency: 3\n"
}
] |
7000676 | [
"7000676_00.jpg",
"7000676_01.jpg",
"7000676_02.jpg",
"7000676_03.jpg",
"7000676_04.jpg",
"7000676_05.jpg",
"7000676_06.jpg",
"7000676_07.jpg"
] | a graffiti background with a spades theme | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000676.mp4 | 3 | 2 | 3 | 2 | 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 graffiti background with a spades theme\",\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: 2\n dynamic degree: 3\n text-to-video alignment: 2\n factual consistency: 2\n"
}
] |
6000026 | [
"6000026_00.jpg",
"6000026_01.jpg",
"6000026_02.jpg",
"6000026_03.jpg",
"6000026_04.jpg",
"6000026_05.jpg",
"6000026_06.jpg",
"6000026_07.jpg",
"6000026_08.jpg",
"6000026_09.jpg",
"6000026_10.jpg",
"6000026_11.jpg",
"6000026_12.jpg",
"6000026_13.jpg",
"6000026_14.jpg",
"6000026_15.jpg"
] | pixar style animated shopping mall full of holiday products | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000026.mp4 | 1 | 1 | 3 | 3 | 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 \"pixar style animated shopping mall full of holiday products\",\nall the frames of video are as 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: 3\n factual consistency: 1\n"
}
] |
3001661 | [
"3001661_00.jpg",
"3001661_01.jpg",
"3001661_02.jpg",
"3001661_03.jpg",
"3001661_04.jpg",
"3001661_05.jpg",
"3001661_06.jpg",
"3001661_07.jpg",
"3001661_08.jpg",
"3001661_09.jpg",
"3001661_10.jpg",
"3001661_11.jpg",
"3001661_12.jpg",
"3001661_13.jpg",
"3001661_14.jpg",
"3001661_15.jpg"
] | movie set Message: andy (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001661.mp4 | 3 | 2 | 3 | 3 | 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 \"movie set Message: andy (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 3\n factual consistency: 2\n"
}
] |
0001392 | [
"0001392_00.jpg",
"0001392_01.jpg",
"0001392_02.jpg",
"0001392_03.jpg",
"0001392_04.jpg",
"0001392_05.jpg",
"0001392_06.jpg",
"0001392_07.jpg",
"0001392_08.jpg",
"0001392_09.jpg",
"0001392_10.jpg",
"0001392_11.jpg",
"0001392_12.jpg",
"0001392_13.jpg",
"0001392_14.jpg",
"0001392_15.jpg",
"0001392_16.jpg",
"0001392_17.jpg",
"0001392_18.jpg",
"0001392_19.jpg",
"0001392_20.jpg",
"0001392_21.jpg",
"0001392_22.jpg",
"0001392_23.jpg"
] | yellow tube from the phone on a pink background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001392.mp4 | 2 | 3 | 3 | 3 | 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 \"yellow tube from the phone on a pink background\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 3\n factual consistency: 3\n"
}
] |
1001341 | [
"1001341_00.jpg",
"1001341_01.jpg",
"1001341_02.jpg",
"1001341_03.jpg",
"1001341_04.jpg",
"1001341_05.jpg",
"1001341_06.jpg",
"1001341_07.jpg",
"1001341_08.jpg",
"1001341_09.jpg",
"1001341_10.jpg",
"1001341_11.jpg",
"1001341_12.jpg",
"1001341_13.jpg",
"1001341_14.jpg",
"1001341_15.jpg"
] | person in bunny mask dancing in the wind | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001341.mp4 | 1 | 2 | 3 | 2 | 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 \"person in bunny mask dancing 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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 2\n factual consistency: 1\n"
}
] |
3000387 | [
"3000387_00.jpg",
"3000387_01.jpg",
"3000387_02.jpg",
"3000387_03.jpg",
"3000387_04.jpg",
"3000387_05.jpg",
"3000387_06.jpg",
"3000387_07.jpg",
"3000387_08.jpg",
"3000387_09.jpg",
"3000387_10.jpg",
"3000387_11.jpg",
"3000387_12.jpg",
"3000387_13.jpg",
"3000387_14.jpg",
"3000387_15.jpg"
] | running horse on the road in animated | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000387.mp4 | 2 | 1 | 3 | 1 | 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 \"running horse on the road in animated\",\nall the frames of video are as 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: 1\n factual consistency: 1\n"
}
] |
2002737 | [
"2002737_00.jpg",
"2002737_01.jpg",
"2002737_02.jpg",
"2002737_03.jpg",
"2002737_04.jpg",
"2002737_05.jpg",
"2002737_06.jpg",
"2002737_07.jpg",
"2002737_08.jpg",
"2002737_09.jpg",
"2002737_10.jpg",
"2002737_11.jpg",
"2002737_12.jpg",
"2002737_13.jpg",
"2002737_14.jpg",
"2002737_15.jpg"
] | someone is coming through the dark hall of scarry, horror house, 8k, zoom motion | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002737.mp4 | 2 | 2 | 3 | 3 | 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 \"someone is coming through the dark hall of scarry, horror house, 8k, zoom motion\",\nall the frames of video are as 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: 3\n factual consistency: 3\n"
}
] |