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7
7
images
sequencelengths
8
24
text prompt
stringlengths
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947
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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
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3005489
[ "3005489_00.jpg", "3005489_01.jpg", "3005489_02.jpg", "3005489_03.jpg", "3005489_04.jpg", "3005489_05.jpg", "3005489_06.jpg", "3005489_07.jpg", "3005489_08.jpg", "3005489_09.jpg", "3005489_10.jpg", "3005489_11.jpg", "3005489_12.jpg", "3005489_13.jpg", "3005489_14.jpg", "3005489_15.jpg" ]
Create a video of a group of divers exploring a sunken shipwreck surrounded by colorful fish
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005489.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Create a video of a group of divers exploring a sunken shipwreck surrounded by colorful fish\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3001250
[ "3001250_00.jpg", "3001250_01.jpg", "3001250_02.jpg", "3001250_03.jpg", "3001250_04.jpg", "3001250_05.jpg", "3001250_06.jpg", "3001250_07.jpg", "3001250_08.jpg", "3001250_09.jpg", "3001250_10.jpg", "3001250_11.jpg", "3001250_12.jpg", "3001250_13.jpg", "3001250_14.jpg", "3001250_15.jpg" ]
mushroom cloud in the background as soldier stares at the horizon
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001250.mp4
3
2
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"mushroom cloud in the background as soldier stares at the horizon\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1001121
[ "1001121_00.jpg", "1001121_01.jpg", "1001121_02.jpg", "1001121_03.jpg", "1001121_04.jpg", "1001121_05.jpg", "1001121_06.jpg", "1001121_07.jpg", "1001121_08.jpg", "1001121_09.jpg", "1001121_10.jpg", "1001121_11.jpg", "1001121_12.jpg", "1001121_13.jpg", "1001121_14.jpg", "1001121_15.jpg" ]
a video vizualizing the entire hanuman chalisa with lyrics at the botttom.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001121.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a video vizualizing the entire hanuman chalisa with lyrics at the botttom.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3006413
[ "3006413_00.jpg", "3006413_01.jpg", "3006413_02.jpg", "3006413_03.jpg", "3006413_04.jpg", "3006413_05.jpg", "3006413_06.jpg", "3006413_07.jpg", "3006413_08.jpg", "3006413_09.jpg", "3006413_10.jpg", "3006413_11.jpg", "3006413_12.jpg", "3006413_13.jpg", "3006413_14.jpg", "3006413_15.jpg" ]
Introduce the fearless young girl, Lila, and her curiosity that leads her to the mountain where big eagle Eldric resides animation.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006413.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Introduce the fearless young girl, Lila, and her curiosity that leads her to the mountain where big eagle Eldric resides animation.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
5000730
[ "5000730_00.jpg", "5000730_01.jpg", "5000730_02.jpg", "5000730_03.jpg", "5000730_04.jpg", "5000730_05.jpg", "5000730_06.jpg", "5000730_07.jpg", "5000730_08.jpg", "5000730_09.jpg", "5000730_10.jpg", "5000730_11.jpg", "5000730_12.jpg", "5000730_13.jpg", "5000730_14.jpg", "5000730_15.jpg" ]
realistic sports car red is crashing against the wall of the house
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000730.mp4
3
3
2
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"realistic sports car red is crashing against the wall of the house\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
8000596
[ "8000596_00.jpg", "8000596_01.jpg", "8000596_02.jpg", "8000596_03.jpg", "8000596_04.jpg", "8000596_05.jpg", "8000596_06.jpg", "8000596_07.jpg", "8000596_08.jpg", "8000596_09.jpg", "8000596_10.jpg", "8000596_11.jpg", "8000596_12.jpg", "8000596_13.jpg", "8000596_14.jpg", "8000596_15.jpg", "8000596_16.jpg", "8000596_17.jpg", "8000596_18.jpg", "8000596_19.jpg", "8000596_20.jpg", "8000596_21.jpg", "8000596_22.jpg", "8000596_23.jpg" ]
Indian train with beautiful scene, 16k
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000596.mp4
1
3
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Indian train with beautiful scene, 16k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1000554
[ "1000554_00.jpg", "1000554_01.jpg", "1000554_02.jpg", "1000554_03.jpg", "1000554_04.jpg", "1000554_05.jpg", "1000554_06.jpg", "1000554_07.jpg", "1000554_08.jpg", "1000554_09.jpg", "1000554_10.jpg", "1000554_11.jpg", "1000554_12.jpg", "1000554_13.jpg", "1000554_14.jpg", "1000554_15.jpg" ]
woman happy on Dance floor enjoy Message: Coaching Days (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000554.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"woman happy on Dance floor enjoy Message: Coaching Days (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7001984
[ "7001984_00.jpg", "7001984_01.jpg", "7001984_02.jpg", "7001984_03.jpg", "7001984_04.jpg", "7001984_05.jpg", "7001984_06.jpg", "7001984_07.jpg" ]
cookies alive, cookies with painted hands and feet, painted eyes and mouth, in the style of plasticine
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001984.mp4
3
3
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"cookies alive, cookies with painted hands and feet, painted eyes and mouth, in the style of plasticine\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
8001082
[ "8001082_00.jpg", "8001082_01.jpg", "8001082_02.jpg", "8001082_03.jpg", "8001082_04.jpg", "8001082_05.jpg", "8001082_06.jpg", "8001082_07.jpg", "8001082_08.jpg", "8001082_09.jpg", "8001082_10.jpg", "8001082_11.jpg", "8001082_12.jpg", "8001082_13.jpg", "8001082_14.jpg", "8001082_15.jpg", "8001082_16.jpg", "8001082_17.jpg", "8001082_18.jpg", "8001082_19.jpg", "8001082_20.jpg", "8001082_21.jpg", "8001082_22.jpg", "8001082_23.jpg" ]
a fantastic view of coaster in france, blue water and pink sky, sunset,realistic,4k
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001082.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a fantastic view of coaster in france, blue water and pink sky, sunset,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> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
8000320
[ "8000320_00.jpg", "8000320_01.jpg", "8000320_02.jpg", "8000320_03.jpg", "8000320_04.jpg", "8000320_05.jpg", "8000320_06.jpg", "8000320_07.jpg", "8000320_08.jpg", "8000320_09.jpg", "8000320_10.jpg", "8000320_11.jpg", "8000320_12.jpg", "8000320_13.jpg", "8000320_14.jpg", "8000320_15.jpg", "8000320_16.jpg", "8000320_17.jpg", "8000320_18.jpg", "8000320_19.jpg", "8000320_20.jpg", "8000320_21.jpg", "8000320_22.jpg", "8000320_23.jpg" ]
two friends watching each other, symbols the passing of wisdom, represent truth and ethical values.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000320.mp4
2
1
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"two friends watching each other, symbols the passing of wisdom, represent truth and ethical values.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
4002104
[ "4002104_00.jpg", "4002104_01.jpg", "4002104_02.jpg", "4002104_03.jpg", "4002104_04.jpg", "4002104_05.jpg", "4002104_06.jpg", "4002104_07.jpg", "4002104_08.jpg", "4002104_09.jpg", "4002104_10.jpg", "4002104_11.jpg", "4002104_12.jpg", "4002104_13.jpg", "4002104_14.jpg", "4002104_15.jpg" ]
A powerful medieval warrior in front of the crowd
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002104.mp4
1
1
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A powerful medieval warrior in front of the crowd\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
8000216
[ "8000216_00.jpg", "8000216_01.jpg", "8000216_02.jpg", "8000216_03.jpg", "8000216_04.jpg", "8000216_05.jpg", "8000216_06.jpg", "8000216_07.jpg", "8000216_08.jpg", "8000216_09.jpg", "8000216_10.jpg", "8000216_11.jpg", "8000216_12.jpg", "8000216_13.jpg", "8000216_14.jpg", "8000216_15.jpg", "8000216_16.jpg", "8000216_17.jpg", "8000216_18.jpg", "8000216_19.jpg", "8000216_20.jpg", "8000216_21.jpg", "8000216_22.jpg", "8000216_23.jpg" ]
1970s inspired surrealism. human in fancy dress shot on a super 8 film
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000216.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"1970s inspired surrealism. human in fancy dress shot on a super 8 film\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7001688
[ "7001688_00.jpg", "7001688_01.jpg", "7001688_02.jpg", "7001688_03.jpg", "7001688_04.jpg", "7001688_05.jpg", "7001688_06.jpg", "7001688_07.jpg" ]
a black and white photo of a hallway, in the style of ambient occlusion render by Zaha Hadid, behance, light and space, vray tracing, volumetric light
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001688.mp4
3
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a black and white photo of a hallway, in the style of ambient occlusion render by Zaha Hadid, behance, light and space, vray tracing, volumetric light\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
5000878
[ "5000878_00.jpg", "5000878_01.jpg", "5000878_02.jpg", "5000878_03.jpg", "5000878_04.jpg", "5000878_05.jpg", "5000878_06.jpg", "5000878_07.jpg", "5000878_08.jpg", "5000878_09.jpg", "5000878_10.jpg", "5000878_11.jpg", "5000878_12.jpg", "5000878_13.jpg", "5000878_14.jpg", "5000878_15.jpg" ]
charactors of young kids boy Aiday, boy fady and girl Zara
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000878.mp4
3
3
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"charactors of young kids boy Aiday, boy fady and girl Zara\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3005938
[ "3005938_00.jpg", "3005938_01.jpg", "3005938_02.jpg", "3005938_03.jpg", "3005938_04.jpg", "3005938_05.jpg", "3005938_06.jpg", "3005938_07.jpg", "3005938_08.jpg", "3005938_09.jpg", "3005938_10.jpg", "3005938_11.jpg", "3005938_12.jpg", "3005938_13.jpg", "3005938_14.jpg", "3005938_15.jpg" ]
Dramatic animation of severe natural disasters – hurricanes tearing through cities, massive earthquakes shaking the foundations, and devastating floods engulfing streets.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005938.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Dramatic animation of severe natural disasters – hurricanes tearing through cities, massive earthquakes shaking the foundations, and devastating floods engulfing streets.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0004482
[ "0004482_00.jpg", "0004482_01.jpg", "0004482_02.jpg", "0004482_03.jpg", "0004482_04.jpg", "0004482_05.jpg", "0004482_06.jpg", "0004482_07.jpg", "0004482_08.jpg", "0004482_09.jpg", "0004482_10.jpg", "0004482_11.jpg", "0004482_12.jpg", "0004482_13.jpg", "0004482_14.jpg", "0004482_15.jpg", "0004482_16.jpg", "0004482_17.jpg", "0004482_18.jpg", "0004482_19.jpg", "0004482_20.jpg", "0004482_21.jpg", "0004482_22.jpg", "0004482_23.jpg" ]
He examines a table covered in old documents, faded photographs, and crumpled papers. Quick flashbacks reveal faces of unknown people. The detective frowns, intrigued.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004482.mp4
3
1
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"He examines a table covered in old documents, faded photographs, and crumpled papers. Quick flashbacks reveal faces of unknown people. The detective frowns, intrigued.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
7000367
[ "7000367_00.jpg", "7000367_01.jpg", "7000367_02.jpg", "7000367_03.jpg", "7000367_04.jpg", "7000367_05.jpg", "7000367_06.jpg", "7000367_07.jpg" ]
a boy praying in front of Ayodya temple, zoom in view, ar: 9:16
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000367.mp4
2
2
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a boy praying in front of Ayodya temple, zoom in view, ar: 9:16\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3005811
[ "3005811_00.jpg", "3005811_01.jpg", "3005811_02.jpg", "3005811_03.jpg", "3005811_04.jpg", "3005811_05.jpg", "3005811_06.jpg", "3005811_07.jpg", "3005811_08.jpg", "3005811_09.jpg", "3005811_10.jpg", "3005811_11.jpg", "3005811_12.jpg", "3005811_13.jpg", "3005811_14.jpg", "3005811_15.jpg" ]
a horse galloping across an open field
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005811.mp4
1
3
1
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a horse galloping across an open field\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0006512
[ "0006512_00.jpg", "0006512_01.jpg", "0006512_02.jpg", "0006512_03.jpg", "0006512_04.jpg", "0006512_05.jpg", "0006512_06.jpg", "0006512_07.jpg", "0006512_08.jpg", "0006512_09.jpg", "0006512_10.jpg", "0006512_11.jpg", "0006512_12.jpg", "0006512_13.jpg", "0006512_14.jpg", "0006512_15.jpg", "0006512_16.jpg", "0006512_17.jpg", "0006512_18.jpg", "0006512_19.jpg", "0006512_20.jpg", "0006512_21.jpg", "0006512_22.jpg", "0006512_23.jpg" ]
General Zod vs Superman, Amazing Video, Amazing Animation, Flying and fighting.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006512.mp4
3
3
2
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"General Zod vs Superman, Amazing Video, Amazing Animation, Flying and fighting.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
9000931
[ "9000931_00.jpg", "9000931_01.jpg", "9000931_02.jpg", "9000931_03.jpg", "9000931_04.jpg", "9000931_05.jpg", "9000931_06.jpg", "9000931_07.jpg", "9000931_08.jpg", "9000931_09.jpg", "9000931_10.jpg", "9000931_11.jpg", "9000931_12.jpg", "9000931_13.jpg", "9000931_14.jpg", "9000931_15.jpg", "9000931_16.jpg", "9000931_17.jpg", "9000931_18.jpg", "9000931_19.jpg", "9000931_20.jpg", "9000931_21.jpg", "9000931_22.jpg", "9000931_23.jpg" ]
young woman, looking at camera, wishing, happy birthday, celebrations, party, friends, party confetti
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000931.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"young woman, looking at camera, wishing, happy birthday, celebrations, party, friends, party confetti\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
0000222
[ "0000222_00.jpg", "0000222_01.jpg", "0000222_02.jpg", "0000222_03.jpg", "0000222_04.jpg", "0000222_05.jpg", "0000222_06.jpg", "0000222_07.jpg", "0000222_08.jpg", "0000222_09.jpg", "0000222_10.jpg", "0000222_11.jpg", "0000222_12.jpg", "0000222_13.jpg", "0000222_14.jpg", "0000222_15.jpg", "0000222_16.jpg", "0000222_17.jpg", "0000222_18.jpg", "0000222_19.jpg", "0000222_20.jpg", "0000222_21.jpg", "0000222_22.jpg", "0000222_23.jpg" ]
road, abandoned town, fog, dark, night.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000222.mp4
3
3
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"road, abandoned town, fog, dark, night.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
7003839
[ "7003839_00.jpg", "7003839_01.jpg", "7003839_02.jpg", "7003839_03.jpg", "7003839_04.jpg", "7003839_05.jpg", "7003839_06.jpg", "7003839_07.jpg" ]
Cyberpunk, ninja assasins fighting, night, raining, action, motion, Zoom in, Cinematic, neon colors, vibrant.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003839.mp4
2
3
2
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Cyberpunk, ninja assasins fighting, night, raining, action, motion, Zoom in, Cinematic, neon colors, vibrant.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3003896
[ "3003896_00.jpg", "3003896_01.jpg", "3003896_02.jpg", "3003896_03.jpg", "3003896_04.jpg", "3003896_05.jpg", "3003896_06.jpg", "3003896_07.jpg", "3003896_08.jpg", "3003896_09.jpg", "3003896_10.jpg", "3003896_11.jpg", "3003896_12.jpg", "3003896_13.jpg", "3003896_14.jpg", "3003896_15.jpg" ]
a man rides in a delorean car on the syntave road
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3003896.mp4
2
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a man rides in a delorean car on the syntave road\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
5000137
[ "5000137_00.jpg", "5000137_01.jpg", "5000137_02.jpg", "5000137_03.jpg", "5000137_04.jpg", "5000137_05.jpg", "5000137_06.jpg", "5000137_07.jpg", "5000137_08.jpg", "5000137_09.jpg", "5000137_10.jpg", "5000137_11.jpg", "5000137_12.jpg", "5000137_13.jpg", "5000137_14.jpg", "5000137_15.jpg" ]
pride deadly sin in human body night dark location cinematic background epic fx volumetric light 4k
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000137.mp4
3
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"pride deadly sin in human body night dark location cinematic background epic fx volumetric light 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: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2000334
[ "2000334_00.jpg", "2000334_01.jpg", "2000334_02.jpg", "2000334_03.jpg", "2000334_04.jpg", "2000334_05.jpg", "2000334_06.jpg", "2000334_07.jpg", "2000334_08.jpg", "2000334_09.jpg", "2000334_10.jpg", "2000334_11.jpg", "2000334_12.jpg", "2000334_13.jpg", "2000334_14.jpg", "2000334_15.jpg" ]
A bunch of bubbles emerges from a blue background, the camera zooms out, and the bubbles morph into the top of a soda can.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000334.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A bunch of bubbles emerges from a blue background, the camera zooms out, and the bubbles morph into the top of a soda can.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
1002862
[ "1002862_00.jpg", "1002862_01.jpg", "1002862_02.jpg", "1002862_03.jpg", "1002862_04.jpg", "1002862_05.jpg", "1002862_06.jpg", "1002862_07.jpg", "1002862_08.jpg", "1002862_09.jpg", "1002862_10.jpg", "1002862_11.jpg", "1002862_12.jpg", "1002862_13.jpg", "1002862_14.jpg", "1002862_15.jpg" ]
Goddess Lakshmi emerging from the cosmic ocean on Dhanteras.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002862.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Goddess Lakshmi emerging from the cosmic ocean on Dhanteras.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
9000746
[ "9000746_00.jpg", "9000746_01.jpg", "9000746_02.jpg", "9000746_03.jpg", "9000746_04.jpg", "9000746_05.jpg", "9000746_06.jpg", "9000746_07.jpg", "9000746_08.jpg", "9000746_09.jpg", "9000746_10.jpg", "9000746_11.jpg", "9000746_12.jpg", "9000746_13.jpg", "9000746_14.jpg", "9000746_15.jpg", "9000746_16.jpg", "9000746_17.jpg", "9000746_18.jpg", "9000746_19.jpg", "9000746_20.jpg", "9000746_21.jpg", "9000746_22.jpg", "9000746_23.jpg" ]
dolphin suddenly appears over the rainbow
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000746.mp4
2
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"dolphin suddenly appears over the rainbow\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7001383
[ "7001383_00.jpg", "7001383_01.jpg", "7001383_02.jpg", "7001383_03.jpg", "7001383_04.jpg", "7001383_05.jpg", "7001383_06.jpg", "7001383_07.jpg" ]
A black cat out of a window becomes huge and strolls down a street represented by the lights and shadows of Amsterdam.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001383.mp4
3
1
1
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A black cat out of a window becomes huge and strolls down a street represented by the lights and shadows of Amsterdam.\",\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: 1\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
2003987
[ "2003987_00.jpg", "2003987_01.jpg", "2003987_02.jpg", "2003987_03.jpg", "2003987_04.jpg", "2003987_05.jpg", "2003987_06.jpg", "2003987_07.jpg", "2003987_08.jpg", "2003987_09.jpg", "2003987_10.jpg", "2003987_11.jpg", "2003987_12.jpg", "2003987_13.jpg", "2003987_14.jpg", "2003987_15.jpg" ]
beautiful indian wife, calling her husband over phone. master prime lens cinematic lights
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003987.mp4
2
2
2
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"beautiful indian wife, calling her husband over phone. master prime lens cinematic lights\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
7000360
[ "7000360_00.jpg", "7000360_01.jpg", "7000360_02.jpg", "7000360_03.jpg", "7000360_04.jpg", "7000360_05.jpg", "7000360_06.jpg", "7000360_07.jpg" ]
women in a futuristic city realistic animation
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000360.mp4
2
2
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"women in a futuristic city realistic animation\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
9000291
[ "9000291_00.jpg", "9000291_01.jpg", "9000291_02.jpg", "9000291_03.jpg", "9000291_04.jpg", "9000291_05.jpg", "9000291_06.jpg", "9000291_07.jpg", "9000291_08.jpg", "9000291_09.jpg", "9000291_10.jpg", "9000291_11.jpg", "9000291_12.jpg", "9000291_13.jpg", "9000291_14.jpg", "9000291_15.jpg", "9000291_16.jpg", "9000291_17.jpg", "9000291_18.jpg", "9000291_19.jpg", "9000291_20.jpg", "9000291_21.jpg", "9000291_22.jpg", "9000291_23.jpg" ]
wave of cloud that seems like water.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000291.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"wave of cloud that seems like water.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
5000349
[ "5000349_00.jpg", "5000349_01.jpg", "5000349_02.jpg", "5000349_03.jpg", "5000349_04.jpg", "5000349_05.jpg", "5000349_06.jpg", "5000349_07.jpg", "5000349_08.jpg", "5000349_09.jpg", "5000349_10.jpg", "5000349_11.jpg", "5000349_12.jpg", "5000349_13.jpg", "5000349_14.jpg", "5000349_15.jpg" ]
cute owl with ribbon: flying fast and landing on a hand
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000349.mp4
3
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"cute owl with ribbon: flying fast and landing on a hand\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2002308
[ "2002308_00.jpg", "2002308_01.jpg", "2002308_02.jpg", "2002308_03.jpg", "2002308_04.jpg", "2002308_05.jpg", "2002308_06.jpg", "2002308_07.jpg", "2002308_08.jpg", "2002308_09.jpg", "2002308_10.jpg", "2002308_11.jpg", "2002308_12.jpg", "2002308_13.jpg", "2002308_14.jpg", "2002308_15.jpg" ]
Dudu becomes a fearless pirate captain with a flashy hat and a trusty parrot friend perched on his shoulder. Bubu turns into a mischievous wizard, complete with a magical wand and a bubbling cauldron, cinematic view
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002308.mp4
2
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Dudu becomes a fearless pirate captain with a flashy hat and a trusty parrot friend perched on his shoulder. Bubu turns into a mischievous wizard, complete with a magical wand and a bubbling cauldron, cinematic view\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
9000368
[ "9000368_00.jpg", "9000368_01.jpg", "9000368_02.jpg", "9000368_03.jpg", "9000368_04.jpg", "9000368_05.jpg", "9000368_06.jpg", "9000368_07.jpg", "9000368_08.jpg", "9000368_09.jpg", "9000368_10.jpg", "9000368_11.jpg", "9000368_12.jpg", "9000368_13.jpg", "9000368_14.jpg", "9000368_15.jpg", "9000368_16.jpg", "9000368_17.jpg", "9000368_18.jpg", "9000368_19.jpg", "9000368_20.jpg", "9000368_21.jpg", "9000368_22.jpg", "9000368_23.jpg" ]
Jack’s mother taking away his toys and keeping them in a box.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000368.mp4
3
3
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Jack’s mother taking away his toys and keeping them in a box.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
8003766
[ "8003766_00.jpg", "8003766_01.jpg", "8003766_02.jpg", "8003766_03.jpg", "8003766_04.jpg", "8003766_05.jpg", "8003766_06.jpg", "8003766_07.jpg", "8003766_08.jpg", "8003766_09.jpg", "8003766_10.jpg", "8003766_11.jpg", "8003766_12.jpg", "8003766_13.jpg", "8003766_14.jpg", "8003766_15.jpg", "8003766_16.jpg", "8003766_17.jpg", "8003766_18.jpg", "8003766_19.jpg", "8003766_20.jpg", "8003766_21.jpg", "8003766_22.jpg", "8003766_23.jpg" ]
A Pakistani couple walking on beach barefoot
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003766.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A Pakistani couple walking on beach barefoot\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6001372
[ "6001372_00.jpg", "6001372_01.jpg", "6001372_02.jpg", "6001372_03.jpg", "6001372_04.jpg", "6001372_05.jpg", "6001372_06.jpg", "6001372_07.jpg", "6001372_08.jpg", "6001372_09.jpg", "6001372_10.jpg", "6001372_11.jpg", "6001372_12.jpg", "6001372_13.jpg", "6001372_14.jpg", "6001372_15.jpg" ]
young blonde girl wearing futuristic clothing in a spaceship
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001372.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"young blonde girl wearing futuristic clothing in a spaceship\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7002268
[ "7002268_00.jpg", "7002268_01.jpg", "7002268_02.jpg", "7002268_03.jpg", "7002268_04.jpg", "7002268_05.jpg", "7002268_06.jpg", "7002268_07.jpg" ]
Will Smith eats pizza with chocolate
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002268.mp4
3
3
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Will Smith eats pizza with chocolate\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
9000301
[ "9000301_00.jpg", "9000301_01.jpg", "9000301_02.jpg", "9000301_03.jpg", "9000301_04.jpg", "9000301_05.jpg", "9000301_06.jpg", "9000301_07.jpg", "9000301_08.jpg", "9000301_09.jpg", "9000301_10.jpg", "9000301_11.jpg", "9000301_12.jpg", "9000301_13.jpg", "9000301_14.jpg", "9000301_15.jpg", "9000301_16.jpg", "9000301_17.jpg", "9000301_18.jpg", "9000301_19.jpg", "9000301_20.jpg", "9000301_21.jpg", "9000301_22.jpg", "9000301_23.jpg" ]
a hand is taking some popcorn from a disco ball bowl in the disco
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000301.mp4
2
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a hand is taking some popcorn from a disco ball bowl in the disco\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7000789
[ "7000789_00.jpg", "7000789_01.jpg", "7000789_02.jpg", "7000789_03.jpg", "7000789_04.jpg", "7000789_05.jpg", "7000789_06.jpg", "7000789_07.jpg" ]
Some puppies walking towards the camera
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000789.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Some puppies walking towards the camera\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6001745
[ "6001745_00.jpg", "6001745_01.jpg", "6001745_02.jpg", "6001745_03.jpg", "6001745_04.jpg", "6001745_05.jpg", "6001745_06.jpg", "6001745_07.jpg", "6001745_08.jpg", "6001745_09.jpg", "6001745_10.jpg", "6001745_11.jpg", "6001745_12.jpg", "6001745_13.jpg", "6001745_14.jpg", "6001745_15.jpg" ]
hotdog dancing with text “happy birthday Holly!”
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001745.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"hotdog dancing with text “happy birthday Holly!”\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2002653
[ "2002653_00.jpg", "2002653_01.jpg", "2002653_02.jpg", "2002653_03.jpg", "2002653_04.jpg", "2002653_05.jpg", "2002653_06.jpg", "2002653_07.jpg", "2002653_08.jpg", "2002653_09.jpg", "2002653_10.jpg", "2002653_11.jpg", "2002653_12.jpg", "2002653_13.jpg", "2002653_14.jpg", "2002653_15.jpg" ]
The piano has a positive effect on brain function, making it smarter.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002653.mp4
2
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The piano has a positive effect on brain function, making it smarter.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
4004991
[ "4004991_00.jpg", "4004991_01.jpg", "4004991_02.jpg", "4004991_03.jpg", "4004991_04.jpg", "4004991_05.jpg", "4004991_06.jpg", "4004991_07.jpg", "4004991_08.jpg", "4004991_09.jpg", "4004991_10.jpg", "4004991_11.jpg", "4004991_12.jpg", "4004991_13.jpg", "4004991_14.jpg", "4004991_15.jpg" ]
mermaids swimming underwater in the open ocean
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004991.mp4
3
3
1
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"mermaids swimming underwater in the open 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: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6002966
[ "6002966_00.jpg", "6002966_01.jpg", "6002966_02.jpg", "6002966_03.jpg", "6002966_04.jpg", "6002966_05.jpg", "6002966_06.jpg", "6002966_07.jpg", "6002966_08.jpg", "6002966_09.jpg", "6002966_10.jpg", "6002966_11.jpg", "6002966_12.jpg", "6002966_13.jpg", "6002966_14.jpg", "6002966_15.jpg" ]
nightsky with flying purple and blue glowing neon light butterflies, fantasy world, magical vibe, whimsical
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002966.mp4
1
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"nightsky with flying purple and blue glowing neon light butterflies, fantasy world, magical vibe, whimsical\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
8000903
[ "8000903_00.jpg", "8000903_01.jpg", "8000903_02.jpg", "8000903_03.jpg", "8000903_04.jpg", "8000903_05.jpg", "8000903_06.jpg", "8000903_07.jpg", "8000903_08.jpg", "8000903_09.jpg", "8000903_10.jpg", "8000903_11.jpg", "8000903_12.jpg", "8000903_13.jpg", "8000903_14.jpg", "8000903_15.jpg", "8000903_16.jpg", "8000903_17.jpg", "8000903_18.jpg", "8000903_19.jpg", "8000903_20.jpg", "8000903_21.jpg", "8000903_22.jpg", "8000903_23.jpg" ]
a lonely oil station in Los Angeles, rainy night
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000903.mp4
1
3
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a lonely oil station in Los Angeles, rainy night\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
s000539
[ "s000539_00.jpg", "s000539_01.jpg", "s000539_02.jpg", "s000539_03.jpg", "s000539_04.jpg", "s000539_05.jpg", "s000539_06.jpg", "s000539_07.jpg", "s000539_08.jpg", "s000539_09.jpg", "s000539_10.jpg", "s000539_11.jpg", "s000539_12.jpg", "s000539_13.jpg", "s000539_14.jpg", "s000539_15.jpg", "s000539_16.jpg", "s000539_17.jpg", "s000539_18.jpg", "s000539_19.jpg" ]
Black hole seen in the sky
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000539.mp4
4
4
4
0
4
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Black hole seen in the sky\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n" } ]
1003281
[ "1003281_00.jpg", "1003281_01.jpg", "1003281_02.jpg", "1003281_03.jpg", "1003281_04.jpg", "1003281_05.jpg", "1003281_06.jpg", "1003281_07.jpg", "1003281_08.jpg", "1003281_09.jpg", "1003281_10.jpg", "1003281_11.jpg", "1003281_12.jpg", "1003281_13.jpg", "1003281_14.jpg", "1003281_15.jpg" ]
influencer skydiving off a building in the city while in selfie mode
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003281.mp4
2
2
2
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"influencer skydiving off a building in the city while in selfie mode\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
s000450
[ "s000450_00.jpg", "s000450_01.jpg", "s000450_02.jpg", "s000450_03.jpg", "s000450_04.jpg", "s000450_05.jpg", "s000450_06.jpg", "s000450_07.jpg", "s000450_08.jpg", "s000450_09.jpg", "s000450_10.jpg", "s000450_11.jpg", "s000450_12.jpg", "s000450_13.jpg", "s000450_14.jpg", "s000450_15.jpg", "s000450_16.jpg", "s000450_17.jpg", "s000450_18.jpg", "s000450_19.jpg" ]
the 7 chakras of the human body surrounded by 4ays of light from the universe person surrounded by light, realistic image
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000450.mp4
4
4
4
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"the 7 chakras of the human body surrounded by 4ays of light from the universe person surrounded by light, realistic image\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1004583
[ "1004583_00.jpg", "1004583_01.jpg", "1004583_02.jpg", "1004583_03.jpg", "1004583_04.jpg", "1004583_05.jpg", "1004583_06.jpg", "1004583_07.jpg", "1004583_08.jpg", "1004583_09.jpg", "1004583_10.jpg", "1004583_11.jpg", "1004583_12.jpg", "1004583_13.jpg", "1004583_14.jpg", "1004583_15.jpg" ]
one scary person is standing in front of the viewer
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004583.mp4
1
1
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"one scary person is standing in front of the viewer\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
7000665
[ "7000665_00.jpg", "7000665_01.jpg", "7000665_02.jpg", "7000665_03.jpg", "7000665_04.jpg", "7000665_05.jpg", "7000665_06.jpg", "7000665_07.jpg" ]
a cinematic scene in a hiphop music video
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000665.mp4
2
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a cinematic scene in a hiphop music video\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
0002943
[ "0002943_00.jpg", "0002943_01.jpg", "0002943_02.jpg", "0002943_03.jpg", "0002943_04.jpg", "0002943_05.jpg", "0002943_06.jpg", "0002943_07.jpg", "0002943_08.jpg", "0002943_09.jpg", "0002943_10.jpg", "0002943_11.jpg", "0002943_12.jpg", "0002943_13.jpg", "0002943_14.jpg", "0002943_15.jpg", "0002943_16.jpg", "0002943_17.jpg", "0002943_18.jpg", "0002943_19.jpg", "0002943_20.jpg", "0002943_21.jpg", "0002943_22.jpg", "0002943_23.jpg" ]
cinematic scene close above a calloused hand reaching out and despair
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002943.mp4
2
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"cinematic scene close above a calloused hand reaching out and despair\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
0002664
[ "0002664_00.jpg", "0002664_01.jpg", "0002664_02.jpg", "0002664_03.jpg", "0002664_04.jpg", "0002664_05.jpg", "0002664_06.jpg", "0002664_07.jpg", "0002664_08.jpg", "0002664_09.jpg", "0002664_10.jpg", "0002664_11.jpg", "0002664_12.jpg", "0002664_13.jpg", "0002664_14.jpg", "0002664_15.jpg", "0002664_16.jpg", "0002664_17.jpg", "0002664_18.jpg", "0002664_19.jpg", "0002664_20.jpg", "0002664_21.jpg", "0002664_22.jpg", "0002664_23.jpg" ]
Sarah raises her hand, gesturing towards a bird perched on a branch nearby
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002664.mp4
2
2
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Sarah raises her hand, gesturing towards a bird perched on a branch nearby\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
0002349
[ "0002349_00.jpg", "0002349_01.jpg", "0002349_02.jpg", "0002349_03.jpg", "0002349_04.jpg", "0002349_05.jpg", "0002349_06.jpg", "0002349_07.jpg", "0002349_08.jpg", "0002349_09.jpg", "0002349_10.jpg", "0002349_11.jpg", "0002349_12.jpg", "0002349_13.jpg", "0002349_14.jpg", "0002349_15.jpg", "0002349_16.jpg", "0002349_17.jpg", "0002349_18.jpg", "0002349_19.jpg", "0002349_20.jpg", "0002349_21.jpg", "0002349_22.jpg", "0002349_23.jpg" ]
Garden full of flowers, camera zooming out, 10 seconds Message: MARINA (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002349.mp4
3
3
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Garden full of flowers, camera zooming out, 10 seconds Message: MARINA (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
0004235
[ "0004235_00.jpg", "0004235_01.jpg", "0004235_02.jpg", "0004235_03.jpg", "0004235_04.jpg", "0004235_05.jpg", "0004235_06.jpg", "0004235_07.jpg", "0004235_08.jpg", "0004235_09.jpg", "0004235_10.jpg", "0004235_11.jpg", "0004235_12.jpg", "0004235_13.jpg", "0004235_14.jpg", "0004235_15.jpg", "0004235_16.jpg", "0004235_17.jpg", "0004235_18.jpg", "0004235_19.jpg", "0004235_20.jpg", "0004235_21.jpg", "0004235_22.jpg", "0004235_23.jpg" ]
rocket in space near of the moon with plasticine
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004235.mp4
2
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"rocket in space near of the moon with plasticine\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1001595
[ "1001595_00.jpg", "1001595_01.jpg", "1001595_02.jpg", "1001595_03.jpg", "1001595_04.jpg", "1001595_05.jpg", "1001595_06.jpg", "1001595_07.jpg", "1001595_08.jpg", "1001595_09.jpg", "1001595_10.jpg", "1001595_11.jpg", "1001595_12.jpg", "1001595_13.jpg", "1001595_14.jpg", "1001595_15.jpg" ]
Beware the allure of the unknown, for curiosity may lead to a dance with darkness that lingers long after the music fades.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001595.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Beware the allure of the unknown, for curiosity may lead to a dance with darkness that lingers long after the music fades.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0000113
[ "0000113_00.jpg", "0000113_01.jpg", "0000113_02.jpg", "0000113_03.jpg", "0000113_04.jpg", "0000113_05.jpg", "0000113_06.jpg", "0000113_07.jpg", "0000113_08.jpg", "0000113_09.jpg", "0000113_10.jpg", "0000113_11.jpg", "0000113_12.jpg", "0000113_13.jpg", "0000113_14.jpg", "0000113_15.jpg", "0000113_16.jpg", "0000113_17.jpg", "0000113_18.jpg", "0000113_19.jpg", "0000113_20.jpg", "0000113_21.jpg", "0000113_22.jpg", "0000113_23.jpg" ]
Laptop screen screen recording windows 10 mouse clicks on the discord and tries to generate a video from text there and generates what I am generating now and so it repeats many times
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000113.mp4
2
3
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Laptop screen screen recording windows 10 mouse clicks on the discord and tries to generate a video from text there and generates what I am generating now and so it repeats many times\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
4001049
[ "4001049_00.jpg", "4001049_01.jpg", "4001049_02.jpg", "4001049_03.jpg", "4001049_04.jpg", "4001049_05.jpg", "4001049_06.jpg", "4001049_07.jpg", "4001049_08.jpg", "4001049_09.jpg", "4001049_10.jpg", "4001049_11.jpg", "4001049_12.jpg", "4001049_13.jpg", "4001049_14.jpg", "4001049_15.jpg" ]
a photoreal circuit electronic, with a led read, 2 mosfet, 4 transistor 2N2222, 1 jack conector
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001049.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a photoreal circuit electronic, with a led read, 2 mosfet, 4 transistor 2N2222, 1 jack conector\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
4001907
[ "4001907_00.jpg", "4001907_01.jpg", "4001907_02.jpg", "4001907_03.jpg", "4001907_04.jpg", "4001907_05.jpg", "4001907_06.jpg", "4001907_07.jpg", "4001907_08.jpg", "4001907_09.jpg", "4001907_10.jpg", "4001907_11.jpg", "4001907_12.jpg", "4001907_13.jpg", "4001907_14.jpg", "4001907_15.jpg" ]
a animated handsome man Looking like real man but animated cartoon tone reading a book
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001907.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a animated handsome man Looking like real man but animated cartoon tone reading a book\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3002914
[ "3002914_00.jpg", "3002914_01.jpg", "3002914_02.jpg", "3002914_03.jpg", "3002914_04.jpg", "3002914_05.jpg", "3002914_06.jpg", "3002914_07.jpg", "3002914_08.jpg", "3002914_09.jpg", "3002914_10.jpg", "3002914_11.jpg", "3002914_12.jpg", "3002914_13.jpg", "3002914_14.jpg", "3002914_15.jpg" ]
A glowing screen appeared between the two trees
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002914.mp4
1
2
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A glowing screen appeared between the two trees\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
8000810
[ "8000810_00.jpg", "8000810_01.jpg", "8000810_02.jpg", "8000810_03.jpg", "8000810_04.jpg", "8000810_05.jpg", "8000810_06.jpg", "8000810_07.jpg", "8000810_08.jpg", "8000810_09.jpg", "8000810_10.jpg", "8000810_11.jpg", "8000810_12.jpg", "8000810_13.jpg", "8000810_14.jpg", "8000810_15.jpg", "8000810_16.jpg", "8000810_17.jpg", "8000810_18.jpg", "8000810_19.jpg", "8000810_20.jpg", "8000810_21.jpg", "8000810_22.jpg", "8000810_23.jpg" ]
A classic red car, unpainted and dilapidated, driving along a road between a forest of dark fir trees, in the background we can see the classic American mountain town with a cloudy sky.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000810.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A classic red car, unpainted and dilapidated, driving along a road between a forest of dark fir trees, in the background we can see the classic American mountain town with a cloudy 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> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1000067
[ "1000067_00.jpg", "1000067_01.jpg", "1000067_02.jpg", "1000067_03.jpg", "1000067_04.jpg", "1000067_05.jpg", "1000067_06.jpg", "1000067_07.jpg", "1000067_08.jpg", "1000067_09.jpg", "1000067_10.jpg", "1000067_11.jpg", "1000067_12.jpg", "1000067_13.jpg", "1000067_14.jpg", "1000067_15.jpg" ]
boy powering up, super saiyan style, anime style, angry, flaring aura
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000067.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"boy powering up, super saiyan style, anime style, angry, flaring aura\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3002741
[ "3002741_00.jpg", "3002741_01.jpg", "3002741_02.jpg", "3002741_03.jpg", "3002741_04.jpg", "3002741_05.jpg", "3002741_06.jpg", "3002741_07.jpg", "3002741_08.jpg", "3002741_09.jpg", "3002741_10.jpg", "3002741_11.jpg", "3002741_12.jpg", "3002741_13.jpg", "3002741_14.jpg", "3002741_15.jpg" ]
create an animated video of a POV of walking in the park in autumn use modern art style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002741.mp4
2
2
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"create an animated video of a POV of walking in the park in autumn use modern art style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
0002192
[ "0002192_00.jpg", "0002192_01.jpg", "0002192_02.jpg", "0002192_03.jpg", "0002192_04.jpg", "0002192_05.jpg", "0002192_06.jpg", "0002192_07.jpg", "0002192_08.jpg", "0002192_09.jpg", "0002192_10.jpg", "0002192_11.jpg", "0002192_12.jpg", "0002192_13.jpg", "0002192_14.jpg", "0002192_15.jpg", "0002192_16.jpg", "0002192_17.jpg", "0002192_18.jpg", "0002192_19.jpg", "0002192_20.jpg", "0002192_21.jpg", "0002192_22.jpg", "0002192_23.jpg" ]
a user testing plateform and doing sign up
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002192.mp4
2
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a user testing plateform and doing sign up\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
8003574
[ "8003574_00.jpg", "8003574_01.jpg", "8003574_02.jpg", "8003574_03.jpg", "8003574_04.jpg", "8003574_05.jpg", "8003574_06.jpg", "8003574_07.jpg", "8003574_08.jpg", "8003574_09.jpg", "8003574_10.jpg", "8003574_11.jpg", "8003574_12.jpg", "8003574_13.jpg", "8003574_14.jpg", "8003574_15.jpg", "8003574_16.jpg", "8003574_17.jpg", "8003574_18.jpg", "8003574_19.jpg", "8003574_20.jpg", "8003574_21.jpg", "8003574_22.jpg", "8003574_23.jpg" ]
tattoo style book with pages flying out of it
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003574.mp4
2
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"tattoo style book with pages flying out of it\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
8002027
[ "8002027_00.jpg", "8002027_01.jpg", "8002027_02.jpg", "8002027_03.jpg", "8002027_04.jpg", "8002027_05.jpg", "8002027_06.jpg", "8002027_07.jpg", "8002027_08.jpg", "8002027_09.jpg", "8002027_10.jpg", "8002027_11.jpg", "8002027_12.jpg", "8002027_13.jpg", "8002027_14.jpg", "8002027_15.jpg", "8002027_16.jpg", "8002027_17.jpg", "8002027_18.jpg", "8002027_19.jpg", "8002027_20.jpg", "8002027_21.jpg", "8002027_22.jpg", "8002027_23.jpg" ]
shadow walking forward moving tentacles blood red background like a dimensional portal
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002027.mp4
2
1
2
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"shadow walking forward moving tentacles blood red background like a dimensional portal\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3002706
[ "3002706_00.jpg", "3002706_01.jpg", "3002706_02.jpg", "3002706_03.jpg", "3002706_04.jpg", "3002706_05.jpg", "3002706_06.jpg", "3002706_07.jpg", "3002706_08.jpg", "3002706_09.jpg", "3002706_10.jpg", "3002706_11.jpg", "3002706_12.jpg", "3002706_13.jpg", "3002706_14.jpg", "3002706_15.jpg" ]
Creates a scene of joy and prosperity.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002706.mp4
2
2
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Creates a scene of joy and prosperity.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1002112
[ "1002112_00.jpg", "1002112_01.jpg", "1002112_02.jpg", "1002112_03.jpg", "1002112_04.jpg", "1002112_05.jpg", "1002112_06.jpg", "1002112_07.jpg", "1002112_08.jpg", "1002112_09.jpg", "1002112_10.jpg", "1002112_11.jpg", "1002112_12.jpg", "1002112_13.jpg", "1002112_14.jpg", "1002112_15.jpg" ]
A falling leaf, macro photography, 4K
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002112.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A falling leaf, macro photography, 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: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1006404
[ "1006404_00.jpg", "1006404_01.jpg", "1006404_02.jpg", "1006404_03.jpg", "1006404_04.jpg", "1006404_05.jpg", "1006404_06.jpg", "1006404_07.jpg", "1006404_08.jpg", "1006404_09.jpg", "1006404_10.jpg", "1006404_11.jpg", "1006404_12.jpg", "1006404_13.jpg", "1006404_14.jpg", "1006404_15.jpg" ]
middle of the night hero standing top of the building in the city
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006404.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"middle of the night hero standing top of the building in the city\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0005785
[ "0005785_00.jpg", "0005785_01.jpg", "0005785_02.jpg", "0005785_03.jpg", "0005785_04.jpg", "0005785_05.jpg", "0005785_06.jpg", "0005785_07.jpg", "0005785_08.jpg", "0005785_09.jpg", "0005785_10.jpg", "0005785_11.jpg", "0005785_12.jpg", "0005785_13.jpg", "0005785_14.jpg", "0005785_15.jpg", "0005785_16.jpg", "0005785_17.jpg", "0005785_18.jpg", "0005785_19.jpg", "0005785_20.jpg", "0005785_21.jpg", "0005785_22.jpg", "0005785_23.jpg" ]
cartoon snow man on a hill, snow falling
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005785.mp4
2
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"cartoon snow man on a hill, snow falling\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3003479
[ "3003479_00.jpg", "3003479_01.jpg", "3003479_02.jpg", "3003479_03.jpg", "3003479_04.jpg", "3003479_05.jpg", "3003479_06.jpg", "3003479_07.jpg", "3003479_08.jpg", "3003479_09.jpg", "3003479_10.jpg", "3003479_11.jpg", "3003479_12.jpg", "3003479_13.jpg", "3003479_14.jpg", "3003479_15.jpg" ]
santa left a small gift under the Christmas tree
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3003479.mp4
1
3
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"santa left a small gift under the Christmas tree\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
8001943
[ "8001943_00.jpg", "8001943_01.jpg", "8001943_02.jpg", "8001943_03.jpg", "8001943_04.jpg", "8001943_05.jpg", "8001943_06.jpg", "8001943_07.jpg", "8001943_08.jpg", "8001943_09.jpg", "8001943_10.jpg", "8001943_11.jpg", "8001943_12.jpg", "8001943_13.jpg", "8001943_14.jpg", "8001943_15.jpg", "8001943_16.jpg", "8001943_17.jpg", "8001943_18.jpg", "8001943_19.jpg", "8001943_20.jpg", "8001943_21.jpg", "8001943_22.jpg", "8001943_23.jpg" ]
fpv drone over crow on a concert
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001943.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"fpv drone over crow on a concert\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
8002385
[ "8002385_00.jpg", "8002385_01.jpg", "8002385_02.jpg", "8002385_03.jpg", "8002385_04.jpg", "8002385_05.jpg", "8002385_06.jpg", "8002385_07.jpg", "8002385_08.jpg", "8002385_09.jpg", "8002385_10.jpg", "8002385_11.jpg", "8002385_12.jpg", "8002385_13.jpg", "8002385_14.jpg", "8002385_15.jpg", "8002385_16.jpg", "8002385_17.jpg", "8002385_18.jpg", "8002385_19.jpg", "8002385_20.jpg", "8002385_21.jpg", "8002385_22.jpg", "8002385_23.jpg" ]
handsome young man sleeps in bed and beside the bed books in table
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002385.mp4
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[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"handsome young man sleeps in bed and beside the bed books in 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> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
4004368
[ "4004368_00.jpg", "4004368_01.jpg", "4004368_02.jpg", "4004368_03.jpg", "4004368_04.jpg", "4004368_05.jpg", "4004368_06.jpg", "4004368_07.jpg", "4004368_08.jpg", "4004368_09.jpg", "4004368_10.jpg", "4004368_11.jpg", "4004368_12.jpg", "4004368_13.jpg", "4004368_14.jpg", "4004368_15.jpg" ]
gaten matarazzo playing Keyboard with stand
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004368.mp4
2
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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 \"gaten matarazzo playing Keyboard with stand\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1001799
[ "1001799_00.jpg", "1001799_01.jpg", "1001799_02.jpg", "1001799_03.jpg", "1001799_04.jpg", "1001799_05.jpg", "1001799_06.jpg", "1001799_07.jpg", "1001799_08.jpg", "1001799_09.jpg", "1001799_10.jpg", "1001799_11.jpg", "1001799_12.jpg", "1001799_13.jpg", "1001799_14.jpg", "1001799_15.jpg" ]
future humans learning new information telepathically and collectively
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001799.mp4
1
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[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"future humans learning new information telepathically and collectively\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2000603
[ "2000603_00.jpg", "2000603_01.jpg", "2000603_02.jpg", "2000603_03.jpg", "2000603_04.jpg", "2000603_05.jpg", "2000603_06.jpg", "2000603_07.jpg", "2000603_08.jpg", "2000603_09.jpg", "2000603_10.jpg", "2000603_11.jpg", "2000603_12.jpg", "2000603_13.jpg", "2000603_14.jpg", "2000603_15.jpg" ]
An astronaut feeding ducks on a sunny afternoon, reflection from the water
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000603.mp4
2
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1
0
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[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"An astronaut feeding ducks on a sunny afternoon, reflection from the water\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
1001725
[ "1001725_00.jpg", "1001725_01.jpg", "1001725_02.jpg", "1001725_03.jpg", "1001725_04.jpg", "1001725_05.jpg", "1001725_06.jpg", "1001725_07.jpg", "1001725_08.jpg", "1001725_09.jpg", "1001725_10.jpg", "1001725_11.jpg", "1001725_12.jpg", "1001725_13.jpg", "1001725_14.jpg", "1001725_15.jpg" ]
canyon, cliff, tree house, flowers, elf, realistic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001725.mp4
1
1
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0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"canyon, cliff, tree house, flowers, elf, realistic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2005584
[ "2005584_00.jpg", "2005584_01.jpg", "2005584_02.jpg", "2005584_03.jpg", "2005584_04.jpg", "2005584_05.jpg", "2005584_06.jpg", "2005584_07.jpg", "2005584_08.jpg", "2005584_09.jpg", "2005584_10.jpg", "2005584_11.jpg", "2005584_12.jpg", "2005584_13.jpg", "2005584_14.jpg", "2005584_15.jpg" ]
Scene of Boston Harbor Photo Description: Boston Harbor in 1773, with ships loaded with tea docked.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005584.mp4
3
3
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0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Scene of Boston Harbor Photo Description: Boston Harbor in 1773, with ships loaded with tea docked.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
2002931
[ "2002931_00.jpg", "2002931_01.jpg", "2002931_02.jpg", "2002931_03.jpg", "2002931_04.jpg", "2002931_05.jpg", "2002931_06.jpg", "2002931_07.jpg", "2002931_08.jpg", "2002931_09.jpg", "2002931_10.jpg", "2002931_11.jpg", "2002931_12.jpg", "2002931_13.jpg", "2002931_14.jpg", "2002931_15.jpg" ]
following a horse wagon on a country road, yellow leaves falling
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002931.mp4
3
3
1
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"following a horse wagon on a country road, yellow leaves falling\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
1003892
[ "1003892_00.jpg", "1003892_01.jpg", "1003892_02.jpg", "1003892_03.jpg", "1003892_04.jpg", "1003892_05.jpg", "1003892_06.jpg", "1003892_07.jpg", "1003892_08.jpg", "1003892_09.jpg", "1003892_10.jpg", "1003892_11.jpg", "1003892_12.jpg", "1003892_13.jpg", "1003892_14.jpg", "1003892_15.jpg" ]
Once upon a time, in a small village where everyone lived harmoniously,
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003892.mp4
2
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Once upon a time, in a small village where everyone lived harmoniously,\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6003342
[ "6003342_00.jpg", "6003342_01.jpg", "6003342_02.jpg", "6003342_03.jpg", "6003342_04.jpg", "6003342_05.jpg", "6003342_06.jpg", "6003342_07.jpg", "6003342_08.jpg", "6003342_09.jpg", "6003342_10.jpg", "6003342_11.jpg", "6003342_12.jpg", "6003342_13.jpg", "6003342_14.jpg", "6003342_15.jpg" ]
a beautiful smart home automation system
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003342.mp4
1
1
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0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a beautiful smart home automation system\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7003680
[ "7003680_00.jpg", "7003680_01.jpg", "7003680_02.jpg", "7003680_03.jpg", "7003680_04.jpg", "7003680_05.jpg", "7003680_06.jpg", "7003680_07.jpg" ]
The Bedouin attendees show understanding and appreciation for what the Arab has done.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003680.mp4
2
2
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0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The Bedouin attendees show understanding and appreciation for what the Arab has done.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
6003209
[ "6003209_00.jpg", "6003209_01.jpg", "6003209_02.jpg", "6003209_03.jpg", "6003209_04.jpg", "6003209_05.jpg", "6003209_06.jpg", "6003209_07.jpg", "6003209_08.jpg", "6003209_09.jpg", "6003209_10.jpg", "6003209_11.jpg", "6003209_12.jpg", "6003209_13.jpg", "6003209_14.jpg", "6003209_15.jpg" ]
develop a cybersecurity awareness in new tech age
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003209.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"develop a cybersecurity awareness in new tech age\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1001330
[ "1001330_00.jpg", "1001330_01.jpg", "1001330_02.jpg", "1001330_03.jpg", "1001330_04.jpg", "1001330_05.jpg", "1001330_06.jpg", "1001330_07.jpg", "1001330_08.jpg", "1001330_09.jpg", "1001330_10.jpg", "1001330_11.jpg", "1001330_12.jpg", "1001330_13.jpg", "1001330_14.jpg", "1001330_15.jpg" ]
Depict the king looking tired and hungry as he travels,4k
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001330.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Depict the king looking tired and hungry as he travels,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: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2000440
[ "2000440_00.jpg", "2000440_01.jpg", "2000440_02.jpg", "2000440_03.jpg", "2000440_04.jpg", "2000440_05.jpg", "2000440_06.jpg", "2000440_07.jpg", "2000440_08.jpg", "2000440_09.jpg", "2000440_10.jpg", "2000440_11.jpg", "2000440_12.jpg", "2000440_13.jpg", "2000440_14.jpg", "2000440_15.jpg" ]
create some gremlins but instead they have an alpaca head
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000440.mp4
3
3
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"create some gremlins but instead they have an alpaca head\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3004414
[ "3004414_00.jpg", "3004414_01.jpg", "3004414_02.jpg", "3004414_03.jpg", "3004414_04.jpg", "3004414_05.jpg", "3004414_06.jpg", "3004414_07.jpg", "3004414_08.jpg", "3004414_09.jpg", "3004414_10.jpg", "3004414_11.jpg", "3004414_12.jpg", "3004414_13.jpg", "3004414_14.jpg", "3004414_15.jpg" ]
The Roman soldier is in the position of Joseph and is shouting at the people
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004414.mp4
2
2
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0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The Roman soldier is in the position of Joseph and is shouting at the people\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
7004340
[ "7004340_00.jpg", "7004340_01.jpg", "7004340_02.jpg", "7004340_03.jpg", "7004340_04.jpg", "7004340_05.jpg", "7004340_06.jpg", "7004340_07.jpg" ]
Cute Orange Hedgedog walking on the grass
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004340.mp4
2
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0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Cute Orange Hedgedog walking on the grass\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
0005111
[ "0005111_00.jpg", "0005111_01.jpg", "0005111_02.jpg", "0005111_03.jpg", "0005111_04.jpg", "0005111_05.jpg", "0005111_06.jpg", "0005111_07.jpg", "0005111_08.jpg", "0005111_09.jpg", "0005111_10.jpg", "0005111_11.jpg", "0005111_12.jpg", "0005111_13.jpg", "0005111_14.jpg", "0005111_15.jpg", "0005111_16.jpg", "0005111_17.jpg", "0005111_18.jpg", "0005111_19.jpg", "0005111_20.jpg", "0005111_21.jpg", "0005111_22.jpg", "0005111_23.jpg" ]
show who is handsome in a world–gs 28
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005111.mp4
1
3
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"show who is handsome in a world–gs 28\",\nall the 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: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
1000317
[ "1000317_00.jpg", "1000317_01.jpg", "1000317_02.jpg", "1000317_03.jpg", "1000317_04.jpg", "1000317_05.jpg", "1000317_06.jpg", "1000317_07.jpg", "1000317_08.jpg", "1000317_09.jpg", "1000317_10.jpg", "1000317_11.jpg", "1000317_12.jpg", "1000317_13.jpg", "1000317_14.jpg", "1000317_15.jpg" ]
a sad funeral it’s raining outside
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000317.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a sad funeral it’s raining outside\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2004545
[ "2004545_00.jpg", "2004545_01.jpg", "2004545_02.jpg", "2004545_03.jpg", "2004545_04.jpg", "2004545_05.jpg", "2004545_06.jpg", "2004545_07.jpg", "2004545_08.jpg", "2004545_09.jpg", "2004545_10.jpg", "2004545_11.jpg", "2004545_12.jpg", "2004545_13.jpg", "2004545_14.jpg", "2004545_15.jpg" ]
11th century mongolia hawaii winter future retro neon city sewer underground. crowded with time travels and horses . ultra realistic POV .DOF 7.5
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004545.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"11th century mongolia hawaii winter future retro neon city sewer underground. crowded with time travels and horses . ultra realistic POV .DOF 7.5\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
1002330
[ "1002330_00.jpg", "1002330_01.jpg", "1002330_02.jpg", "1002330_03.jpg", "1002330_04.jpg", "1002330_05.jpg", "1002330_06.jpg", "1002330_07.jpg", "1002330_08.jpg", "1002330_09.jpg", "1002330_10.jpg", "1002330_11.jpg", "1002330_12.jpg", "1002330_13.jpg", "1002330_14.jpg", "1002330_15.jpg" ]
the bat sign showing an ice dragon, vibrant colors, 4k
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002330.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"the bat sign showing an ice dragon, vibrant colors, 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: 0\n factual consistency: 1\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" ]
An image of a somber Lincoln, sitting alone in a dimly lit room, with a portrait of his late wife, Mary Todd Lincoln, on the wall.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002568.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"An image of a somber Lincoln, sitting alone in a dimly lit room, with a portrait of his late wife, Mary Todd Lincoln, on the wall.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
5000506
[ "5000506_00.jpg", "5000506_01.jpg", "5000506_02.jpg", "5000506_03.jpg", "5000506_04.jpg", "5000506_05.jpg", "5000506_06.jpg", "5000506_07.jpg", "5000506_08.jpg", "5000506_09.jpg", "5000506_10.jpg", "5000506_11.jpg", "5000506_12.jpg", "5000506_13.jpg", "5000506_14.jpg", "5000506_15.jpg" ]
Upperbody Workout Message: Bodyweight fitness (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000506.mp4
3
2
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Upperbody Workout Message: Bodyweight fitness (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
8000966
[ "8000966_00.jpg", "8000966_01.jpg", "8000966_02.jpg", "8000966_03.jpg", "8000966_04.jpg", "8000966_05.jpg", "8000966_06.jpg", "8000966_07.jpg", "8000966_08.jpg", "8000966_09.jpg", "8000966_10.jpg", "8000966_11.jpg", "8000966_12.jpg", "8000966_13.jpg", "8000966_14.jpg", "8000966_15.jpg", "8000966_16.jpg", "8000966_17.jpg", "8000966_18.jpg", "8000966_19.jpg", "8000966_20.jpg", "8000966_21.jpg", "8000966_22.jpg", "8000966_23.jpg" ]
a video of a polar bear stranded on a small melting ice floe, surrounded by open water.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000966.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a video of a polar bear stranded on a small melting ice floe, surrounded by open water.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
8002081
[ "8002081_00.jpg", "8002081_01.jpg", "8002081_02.jpg", "8002081_03.jpg", "8002081_04.jpg", "8002081_05.jpg", "8002081_06.jpg", "8002081_07.jpg", "8002081_08.jpg", "8002081_09.jpg", "8002081_10.jpg", "8002081_11.jpg", "8002081_12.jpg", "8002081_13.jpg", "8002081_14.jpg", "8002081_15.jpg", "8002081_16.jpg", "8002081_17.jpg", "8002081_18.jpg", "8002081_19.jpg", "8002081_20.jpg", "8002081_21.jpg", "8002081_22.jpg", "8002081_23.jpg" ]
fish a brilliant thinker among fish, often pondered the mysteries of the world beyond his pond. cartoon style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002081.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"fish a brilliant thinker among fish, often pondered the mysteries of the world beyond his pond. cartoon style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
8003278
[ "8003278_00.jpg", "8003278_01.jpg", "8003278_02.jpg", "8003278_03.jpg", "8003278_04.jpg", "8003278_05.jpg", "8003278_06.jpg", "8003278_07.jpg", "8003278_08.jpg", "8003278_09.jpg", "8003278_10.jpg", "8003278_11.jpg", "8003278_12.jpg", "8003278_13.jpg", "8003278_14.jpg", "8003278_15.jpg", "8003278_16.jpg", "8003278_17.jpg", "8003278_18.jpg", "8003278_19.jpg", "8003278_20.jpg", "8003278_21.jpg", "8003278_22.jpg", "8003278_23.jpg" ]
a person aadicted to phone , using his phone , eyes open, background should be red and blue on left and right respectively, vector art, motion graphics , video , ultra hd , 16:9 resolution, vector graphics
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003278.mp4
2
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a person aadicted to phone , using his phone , eyes open, background should be red and blue on left and right respectively, vector art, motion graphics , video , ultra hd , 16:9 resolution, vector graphics\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2001124
[ "2001124_00.jpg", "2001124_01.jpg", "2001124_02.jpg", "2001124_03.jpg", "2001124_04.jpg", "2001124_05.jpg", "2001124_06.jpg", "2001124_07.jpg", "2001124_08.jpg", "2001124_09.jpg", "2001124_10.jpg", "2001124_11.jpg", "2001124_12.jpg", "2001124_13.jpg", "2001124_14.jpg", "2001124_15.jpg" ]
a red bird
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001124.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a red bird\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3003130
[ "3003130_00.jpg", "3003130_01.jpg", "3003130_02.jpg", "3003130_03.jpg", "3003130_04.jpg", "3003130_05.jpg", "3003130_06.jpg", "3003130_07.jpg", "3003130_08.jpg", "3003130_09.jpg", "3003130_10.jpg", "3003130_11.jpg", "3003130_12.jpg", "3003130_13.jpg", "3003130_14.jpg", "3003130_15.jpg" ]
The dragon celebrating winning the trophy
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3003130.mp4
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[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 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 dragon celebrating winning the trophy\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2003272
[ "2003272_00.jpg", "2003272_01.jpg", "2003272_02.jpg", "2003272_03.jpg", "2003272_04.jpg", "2003272_05.jpg", "2003272_06.jpg", "2003272_07.jpg", "2003272_08.jpg", "2003272_09.jpg", "2003272_10.jpg", "2003272_11.jpg", "2003272_12.jpg", "2003272_13.jpg", "2003272_14.jpg", "2003272_15.jpg" ]
green and black esports logo Message: IKRN eSports (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003272.mp4
2
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[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"green and black esports logo Message: IKRN eSports (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: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
s000169
[ "s000169_00.jpg", "s000169_01.jpg", "s000169_02.jpg", "s000169_03.jpg", "s000169_04.jpg", "s000169_05.jpg", "s000169_06.jpg", "s000169_07.jpg", "s000169_08.jpg", "s000169_09.jpg", "s000169_10.jpg", "s000169_11.jpg", "s000169_12.jpg", "s000169_13.jpg", "s000169_14.jpg", "s000169_15.jpg", "s000169_16.jpg", "s000169_17.jpg", "s000169_18.jpg", "s000169_19.jpg" ]
An beautiful hot African woman with a radiant smile cruises in a convertible through the landscape. Her curly hair dances in the wind, and the warm sun gently illuminates her face. The vibrant fabrics of her traditional attire flutter in the breeze, exuding confidence and a sense of freedom
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000169.mp4
4
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[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 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 beautiful hot African woman with a radiant smile cruises in a convertible through the landscape. Her curly hair dances in the wind, and the warm sun gently illuminates her face. The vibrant fabrics of her traditional attire flutter in the breeze, exuding confidence and a sense of freedom\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n" } ]
8002095
[ "8002095_00.jpg", "8002095_01.jpg", "8002095_02.jpg", "8002095_03.jpg", "8002095_04.jpg", "8002095_05.jpg", "8002095_06.jpg", "8002095_07.jpg", "8002095_08.jpg", "8002095_09.jpg", "8002095_10.jpg", "8002095_11.jpg", "8002095_12.jpg", "8002095_13.jpg", "8002095_14.jpg", "8002095_15.jpg", "8002095_16.jpg", "8002095_17.jpg", "8002095_18.jpg", "8002095_19.jpg", "8002095_20.jpg", "8002095_21.jpg", "8002095_22.jpg", "8002095_23.jpg" ]
a beautiful woman with beautiful eyes, who walks through a flowery meadow full of pink, yellow and white flowers, at sunrise
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002095.mp4
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[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 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 woman with beautiful eyes, who walks through a flowery meadow full of pink, yellow and white flowers, at sunrise\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6000871
[ "6000871_00.jpg", "6000871_01.jpg", "6000871_02.jpg", "6000871_03.jpg", "6000871_04.jpg", "6000871_05.jpg", "6000871_06.jpg", "6000871_07.jpg", "6000871_08.jpg", "6000871_09.jpg", "6000871_10.jpg", "6000871_11.jpg", "6000871_12.jpg", "6000871_13.jpg", "6000871_14.jpg", "6000871_15.jpg" ]
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000871.mp4
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[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]