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24
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947
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89
89
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4
temporal consistency
int64
1
4
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3006823
[ "3006823_00.jpg", "3006823_01.jpg", "3006823_02.jpg", "3006823_03.jpg", "3006823_04.jpg", "3006823_05.jpg", "3006823_06.jpg", "3006823_07.jpg", "3006823_08.jpg", "3006823_09.jpg", "3006823_10.jpg", "3006823_11.jpg", "3006823_12.jpg", "3006823_13.jpg", "3006823_14.jpg", "3006823_15.jpg" ]
Show the characters opening up and expressing their emotions. 8k quality
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006823.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 \"Show the characters opening up and expressing their emotions.\n8k quality\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
4004021
[ "4004021_00.jpg", "4004021_01.jpg", "4004021_02.jpg", "4004021_03.jpg", "4004021_04.jpg", "4004021_05.jpg", "4004021_06.jpg", "4004021_07.jpg", "4004021_08.jpg", "4004021_09.jpg", "4004021_10.jpg", "4004021_11.jpg", "4004021_12.jpg", "4004021_13.jpg", "4004021_14.jpg", "4004021_15.jpg" ]
A hole in side the tree
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004021.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 hole in side the 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: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
5000539
[ "5000539_00.jpg", "5000539_01.jpg", "5000539_02.jpg", "5000539_03.jpg", "5000539_04.jpg", "5000539_05.jpg", "5000539_06.jpg", "5000539_07.jpg", "5000539_08.jpg", "5000539_09.jpg", "5000539_10.jpg", "5000539_11.jpg", "5000539_12.jpg", "5000539_13.jpg", "5000539_14.jpg", "5000539_15.jpg" ]
a tennis racket on the left of a frisbee, front view
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000539.mp4
3
2
2
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a tennis racket on the left of a frisbee, front 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: 3\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
8000909
[ "8000909_00.jpg", "8000909_01.jpg", "8000909_02.jpg", "8000909_03.jpg", "8000909_04.jpg", "8000909_05.jpg", "8000909_06.jpg", "8000909_07.jpg", "8000909_08.jpg", "8000909_09.jpg", "8000909_10.jpg", "8000909_11.jpg", "8000909_12.jpg", "8000909_13.jpg", "8000909_14.jpg", "8000909_15.jpg", "8000909_16.jpg", "8000909_17.jpg", "8000909_18.jpg", "8000909_19.jpg", "8000909_20.jpg", "8000909_21.jpg", "8000909_22.jpg", "8000909_23.jpg" ]
creates the image of a man with gray hair, wearing a plaid shirt. He is looking at the camera. The layout is adult style anime, dark colors
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000909.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 \"creates the image of a man with gray hair, wearing a plaid shirt. He is looking at the camera. The layout is adult style anime, dark colors\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
4002418
[ "4002418_00.jpg", "4002418_01.jpg", "4002418_02.jpg", "4002418_03.jpg", "4002418_04.jpg", "4002418_05.jpg", "4002418_06.jpg", "4002418_07.jpg", "4002418_08.jpg", "4002418_09.jpg", "4002418_10.jpg", "4002418_11.jpg", "4002418_12.jpg", "4002418_13.jpg", "4002418_14.jpg", "4002418_15.jpg" ]
Create a heartwarming closing scene in Cloverdale, with the friends returning, their hearts full of stories and stronger friendship.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002418.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 \"Create a heartwarming closing scene in Cloverdale, with the friends returning, their hearts full of stories and stronger friendship.\",\nall the frames of video are as 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" } ]
3001146
[ "3001146_00.jpg", "3001146_01.jpg", "3001146_02.jpg", "3001146_03.jpg", "3001146_04.jpg", "3001146_05.jpg", "3001146_06.jpg", "3001146_07.jpg", "3001146_08.jpg", "3001146_09.jpg", "3001146_10.jpg", "3001146_11.jpg", "3001146_12.jpg", "3001146_13.jpg", "3001146_14.jpg", "3001146_15.jpg" ]
Show the village with an unsettling atmosphere, hinting at the looming mystery.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001146.mp4
1
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 \"Show the village with an unsettling atmosphere, hinting at the looming mystery.\",\nall the frames of video are as 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: 2\n" } ]
7001814
[ "7001814_00.jpg", "7001814_01.jpg", "7001814_02.jpg", "7001814_03.jpg", "7001814_04.jpg", "7001814_05.jpg", "7001814_06.jpg", "7001814_07.jpg" ]
a person eats the gingerbread man with relish at the table, a cup of tea is on the table
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001814.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 \"a person eats the gingerbread man with relish at the table, a cup of tea is on the table\",\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: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
4001475
[ "4001475_00.jpg", "4001475_01.jpg", "4001475_02.jpg", "4001475_03.jpg", "4001475_04.jpg", "4001475_05.jpg", "4001475_06.jpg", "4001475_07.jpg", "4001475_08.jpg", "4001475_09.jpg", "4001475_10.jpg", "4001475_11.jpg", "4001475_12.jpg", "4001475_13.jpg", "4001475_14.jpg", "4001475_15.jpg" ]
A tranquil tableau of a country estate's library featured elegant wooden shelves
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001475.mp4
2
2
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A tranquil tableau of a country estate's library featured elegant wooden shelves\",\nall the frames of video are as 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" } ]
8001451
[ "8001451_00.jpg", "8001451_01.jpg", "8001451_02.jpg", "8001451_03.jpg", "8001451_04.jpg", "8001451_05.jpg", "8001451_06.jpg", "8001451_07.jpg", "8001451_08.jpg", "8001451_09.jpg", "8001451_10.jpg", "8001451_11.jpg", "8001451_12.jpg", "8001451_13.jpg", "8001451_14.jpg", "8001451_15.jpg", "8001451_16.jpg", "8001451_17.jpg", "8001451_18.jpg", "8001451_19.jpg", "8001451_20.jpg", "8001451_21.jpg", "8001451_22.jpg", "8001451_23.jpg" ]
a beautiful african american lady smiling and typing on a computer on a couch with a coffee besides her
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001451.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 beautiful african american lady smiling and typing on a computer on a couch with a coffee besides her\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
1001207
[ "1001207_00.jpg", "1001207_01.jpg", "1001207_02.jpg", "1001207_03.jpg", "1001207_04.jpg", "1001207_05.jpg", "1001207_06.jpg", "1001207_07.jpg", "1001207_08.jpg", "1001207_09.jpg", "1001207_10.jpg", "1001207_11.jpg", "1001207_12.jpg", "1001207_13.jpg", "1001207_14.jpg", "1001207_15.jpg" ]
An old, weathered farmhouse amidst a vast field of tall grass. Above, a metallic flying saucer hovers, casting a shadow below. The sky is overcast with dark clouds. Render in a black and white, grainy, antique photo style.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001207.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"An old, weathered farmhouse amidst a vast field of tall grass. Above, a metallic flying saucer hovers, casting a shadow below. The sky is overcast with dark clouds. Render in a black and white, grainy, antique photo style.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6000839
[ "6000839_00.jpg", "6000839_01.jpg", "6000839_02.jpg", "6000839_03.jpg", "6000839_04.jpg", "6000839_05.jpg", "6000839_06.jpg", "6000839_07.jpg", "6000839_08.jpg", "6000839_09.jpg", "6000839_10.jpg", "6000839_11.jpg", "6000839_12.jpg", "6000839_13.jpg", "6000839_14.jpg", "6000839_15.jpg" ]
From that day Dylan dragon and the playground children were friends and every day dragon Dylan, the dragon would take the children on the best playground ride ever.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000839.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 \"From that day Dylan dragon and the playground children were friends and every day dragon Dylan, the dragon would take the children on the best playground ride ever.\",\nall the frames of video are as 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" } ]
0004734
[ "0004734_00.jpg", "0004734_01.jpg", "0004734_02.jpg", "0004734_03.jpg", "0004734_04.jpg", "0004734_05.jpg", "0004734_06.jpg", "0004734_07.jpg", "0004734_08.jpg", "0004734_09.jpg", "0004734_10.jpg", "0004734_11.jpg", "0004734_12.jpg", "0004734_13.jpg", "0004734_14.jpg", "0004734_15.jpg", "0004734_16.jpg", "0004734_17.jpg", "0004734_18.jpg", "0004734_19.jpg", "0004734_20.jpg", "0004734_21.jpg", "0004734_22.jpg", "0004734_23.jpg" ]
create a photorealistic cinematic scene shot by Steven Spielberg of the inside of a cave tunnel with a 2feet deep water
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004734.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 \"create a photorealistic cinematic scene shot by Steven Spielberg of the inside of a cave tunnel with a 2feet deep 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: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
6004061
[ "6004061_00.jpg", "6004061_01.jpg", "6004061_02.jpg", "6004061_03.jpg", "6004061_04.jpg", "6004061_05.jpg", "6004061_06.jpg", "6004061_07.jpg", "6004061_08.jpg", "6004061_09.jpg", "6004061_10.jpg", "6004061_11.jpg", "6004061_12.jpg", "6004061_13.jpg", "6004061_14.jpg", "6004061_15.jpg" ]
A turtle morphs into a Futuristic city 8k cinematic lighting cyberpunk
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004061.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 turtle morphs into a Futuristic city 8k cinematic lighting cyberpunk\",\nall the frames of video are as 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" } ]
1001346
[ "1001346_00.jpg", "1001346_01.jpg", "1001346_02.jpg", "1001346_03.jpg", "1001346_04.jpg", "1001346_05.jpg", "1001346_06.jpg", "1001346_07.jpg", "1001346_08.jpg", "1001346_09.jpg", "1001346_10.jpg", "1001346_11.jpg", "1001346_12.jpg", "1001346_13.jpg", "1001346_14.jpg", "1001346_15.jpg" ]
A thunderstorm passing the penthouse of Batman
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001346.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 thunderstorm passing the penthouse of Batman\",\nall the frames of video are as 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" } ]
2003209
[ "2003209_00.jpg", "2003209_01.jpg", "2003209_02.jpg", "2003209_03.jpg", "2003209_04.jpg", "2003209_05.jpg", "2003209_06.jpg", "2003209_07.jpg", "2003209_08.jpg", "2003209_09.jpg", "2003209_10.jpg", "2003209_11.jpg", "2003209_12.jpg", "2003209_13.jpg", "2003209_14.jpg", "2003209_15.jpg" ]
10headed monster avakening in jungle, human figure monster, night seen, cinematic view from above
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003209.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 \"10headed monster avakening in jungle, human figure monster, night seen, cinematic view from above\",\nall the frames of video are as 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" } ]
8003762
[ "8003762_00.jpg", "8003762_01.jpg", "8003762_02.jpg", "8003762_03.jpg", "8003762_04.jpg", "8003762_05.jpg", "8003762_06.jpg", "8003762_07.jpg", "8003762_08.jpg", "8003762_09.jpg", "8003762_10.jpg", "8003762_11.jpg", "8003762_12.jpg", "8003762_13.jpg", "8003762_14.jpg", "8003762_15.jpg", "8003762_16.jpg", "8003762_17.jpg", "8003762_18.jpg", "8003762_19.jpg", "8003762_20.jpg", "8003762_21.jpg", "8003762_22.jpg", "8003762_23.jpg" ]
The leaves of the trees move with the wind, the leaves fall gently from the trees, the leaves on the ground move gently 16:9 motiom
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003762.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 \"The leaves of the trees move with the wind, the leaves fall gently from the trees, the leaves on the ground move gently 16:9 motiom\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
s000739
[ "s000739_00.jpg", "s000739_01.jpg", "s000739_02.jpg", "s000739_03.jpg", "s000739_04.jpg", "s000739_05.jpg", "s000739_06.jpg", "s000739_07.jpg", "s000739_08.jpg", "s000739_09.jpg", "s000739_10.jpg", "s000739_11.jpg", "s000739_12.jpg", "s000739_13.jpg", "s000739_14.jpg", "s000739_15.jpg", "s000739_16.jpg", "s000739_17.jpg", "s000739_18.jpg", "s000739_19.jpg", "s000739_20.jpg", "s000739_21.jpg", "s000739_22.jpg", "s000739_23.jpg" ]
people walking new york year 3000
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000739.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 \"people walking new york year 3000\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n" } ]
0002300
[ "0002300_00.jpg", "0002300_01.jpg", "0002300_02.jpg", "0002300_03.jpg", "0002300_04.jpg", "0002300_05.jpg", "0002300_06.jpg", "0002300_07.jpg", "0002300_08.jpg", "0002300_09.jpg", "0002300_10.jpg", "0002300_11.jpg", "0002300_12.jpg", "0002300_13.jpg", "0002300_14.jpg", "0002300_15.jpg", "0002300_16.jpg", "0002300_17.jpg", "0002300_18.jpg", "0002300_19.jpg", "0002300_20.jpg", "0002300_21.jpg", "0002300_22.jpg", "0002300_23.jpg" ]
A man dancing in the rain.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002300.mp4
3
3
1
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A man dancing in the rain.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
1004091
[ "1004091_00.jpg", "1004091_01.jpg", "1004091_02.jpg", "1004091_03.jpg", "1004091_04.jpg", "1004091_05.jpg", "1004091_06.jpg", "1004091_07.jpg", "1004091_08.jpg", "1004091_09.jpg", "1004091_10.jpg", "1004091_11.jpg", "1004091_12.jpg", "1004091_13.jpg", "1004091_14.jpg", "1004091_15.jpg" ]
Indian god lord Shiva dancing at top of mountain.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004091.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 \"Indian god lord Shiva dancing at top of mountain.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
5000083
[ "5000083_00.jpg", "5000083_01.jpg", "5000083_02.jpg", "5000083_03.jpg", "5000083_04.jpg", "5000083_05.jpg", "5000083_06.jpg", "5000083_07.jpg", "5000083_08.jpg", "5000083_09.jpg", "5000083_10.jpg", "5000083_11.jpg", "5000083_12.jpg", "5000083_13.jpg", "5000083_14.jpg", "5000083_15.jpg" ]
elderly man and woman ride tricycles while young boy and girl watch and laugh
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000083.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 \"elderly man and woman ride tricycles while young boy and girl watch and laugh\",\nall the frames of video are as 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" } ]
2002980
[ "2002980_00.jpg", "2002980_01.jpg", "2002980_02.jpg", "2002980_03.jpg", "2002980_04.jpg", "2002980_05.jpg", "2002980_06.jpg", "2002980_07.jpg", "2002980_08.jpg", "2002980_09.jpg", "2002980_10.jpg", "2002980_11.jpg", "2002980_12.jpg", "2002980_13.jpg", "2002980_14.jpg", "2002980_15.jpg" ]
Thanks for watching, please like and subscribe our channel for such videos in 3D animated and disney
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002980.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 \"Thanks for watching, please like and subscribe our channel for such videos in 3D animated and disney\",\nall the frames of video are as 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" } ]
9000337
[ "9000337_00.jpg", "9000337_01.jpg", "9000337_02.jpg", "9000337_03.jpg", "9000337_04.jpg", "9000337_05.jpg", "9000337_06.jpg", "9000337_07.jpg", "9000337_08.jpg", "9000337_09.jpg", "9000337_10.jpg", "9000337_11.jpg", "9000337_12.jpg", "9000337_13.jpg", "9000337_14.jpg", "9000337_15.jpg", "9000337_16.jpg", "9000337_17.jpg", "9000337_18.jpg", "9000337_19.jpg", "9000337_20.jpg", "9000337_21.jpg", "9000337_22.jpg", "9000337_23.jpg" ]
elephant human play slow motion 360 degree
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000337.mp4
3
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"elephant human play slow motion 360 degree\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6004252
[ "6004252_00.jpg", "6004252_01.jpg", "6004252_02.jpg", "6004252_03.jpg", "6004252_04.jpg", "6004252_05.jpg", "6004252_06.jpg", "6004252_07.jpg", "6004252_08.jpg", "6004252_09.jpg", "6004252_10.jpg", "6004252_11.jpg", "6004252_12.jpg", "6004252_13.jpg", "6004252_14.jpg", "6004252_15.jpg" ]
a man wearing futuristic gear running in the woods. 8k uhd Hyper realistic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004252.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a man wearing futuristic gear running in the woods. 8k uhd Hyper 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" } ]
0004907
[ "0004907_00.jpg", "0004907_01.jpg", "0004907_02.jpg", "0004907_03.jpg", "0004907_04.jpg", "0004907_05.jpg", "0004907_06.jpg", "0004907_07.jpg", "0004907_08.jpg", "0004907_09.jpg", "0004907_10.jpg", "0004907_11.jpg", "0004907_12.jpg", "0004907_13.jpg", "0004907_14.jpg", "0004907_15.jpg", "0004907_16.jpg", "0004907_17.jpg", "0004907_18.jpg", "0004907_19.jpg", "0004907_20.jpg", "0004907_21.jpg", "0004907_22.jpg", "0004907_23.jpg" ]
The scene opens in Pyongyang, The audience, made up of fearful people, applauds timidly. On a rocket is coming Kim Jong Un
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004907.mp4
3
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The scene opens in Pyongyang, The audience, made up of fearful people, applauds timidly. On a rocket is coming Kim Jong Un\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1000407
[ "1000407_00.jpg", "1000407_01.jpg", "1000407_02.jpg", "1000407_03.jpg", "1000407_04.jpg", "1000407_05.jpg", "1000407_06.jpg", "1000407_07.jpg", "1000407_08.jpg", "1000407_09.jpg", "1000407_10.jpg", "1000407_11.jpg", "1000407_12.jpg", "1000407_13.jpg", "1000407_14.jpg", "1000407_15.jpg" ]
A simple and elderly Chinese grandmother is lying on a recliner with a bell hanging on it. The cute little granddaughter is standing on tiptoe touching the bell, and the grandma looks at her granddaughter with a loving look on her face
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000407.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 simple and elderly Chinese grandmother is lying on a recliner with a bell hanging on it. The cute little granddaughter is standing on tiptoe touching the bell, and the grandma looks at her granddaughter with a loving look on her face\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1003595
[ "1003595_00.jpg", "1003595_01.jpg", "1003595_02.jpg", "1003595_03.jpg", "1003595_04.jpg", "1003595_05.jpg", "1003595_06.jpg", "1003595_07.jpg", "1003595_08.jpg", "1003595_09.jpg", "1003595_10.jpg", "1003595_11.jpg", "1003595_12.jpg", "1003595_13.jpg", "1003595_14.jpg", "1003595_15.jpg" ]
A star over a mountain by nigth, zoom out, low motion
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003595.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 star over a mountain by nigth, zoom out, low motion\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2006360
[ "2006360_00.jpg", "2006360_01.jpg", "2006360_02.jpg", "2006360_03.jpg", "2006360_04.jpg", "2006360_05.jpg", "2006360_06.jpg", "2006360_07.jpg", "2006360_08.jpg", "2006360_09.jpg", "2006360_10.jpg", "2006360_11.jpg", "2006360_12.jpg", "2006360_13.jpg", "2006360_14.jpg", "2006360_15.jpg" ]
stick man drawn with pencil running away from pencil
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006360.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 \"stick man drawn with pencil running away from pencil\",\nall the frames of video are as 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" } ]
6001657
[ "6001657_00.jpg", "6001657_01.jpg", "6001657_02.jpg", "6001657_03.jpg", "6001657_04.jpg", "6001657_05.jpg", "6001657_06.jpg", "6001657_07.jpg", "6001657_08.jpg", "6001657_09.jpg", "6001657_10.jpg", "6001657_11.jpg", "6001657_12.jpg", "6001657_13.jpg", "6001657_14.jpg", "6001657_15.jpg" ]
young man wearing dress slomotion 4k, cinamatic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001657.mp4
3
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"young man wearing dress slomotion 4k, cinamatic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
4003284
[ "4003284_00.jpg", "4003284_01.jpg", "4003284_02.jpg", "4003284_03.jpg", "4003284_04.jpg", "4003284_05.jpg", "4003284_06.jpg", "4003284_07.jpg", "4003284_08.jpg", "4003284_09.jpg", "4003284_10.jpg", "4003284_11.jpg", "4003284_12.jpg", "4003284_13.jpg", "4003284_14.jpg", "4003284_15.jpg" ]
a tennis racket and a bottle
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003284.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 tennis racket and a bottle\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
2000553
[ "2000553_00.jpg", "2000553_01.jpg", "2000553_02.jpg", "2000553_03.jpg", "2000553_04.jpg", "2000553_05.jpg", "2000553_06.jpg", "2000553_07.jpg", "2000553_08.jpg", "2000553_09.jpg", "2000553_10.jpg", "2000553_11.jpg", "2000553_12.jpg", "2000553_13.jpg", "2000553_14.jpg", "2000553_15.jpg" ]
Bill Gates waving good bye to microsoft Headquarters
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000553.mp4
3
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Bill Gates waving good bye to microsoft Headquarters\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3002433
[ "3002433_00.jpg", "3002433_01.jpg", "3002433_02.jpg", "3002433_03.jpg", "3002433_04.jpg", "3002433_05.jpg", "3002433_06.jpg", "3002433_07.jpg", "3002433_08.jpg", "3002433_09.jpg", "3002433_10.jpg", "3002433_11.jpg", "3002433_12.jpg", "3002433_13.jpg", "3002433_14.jpg", "3002433_15.jpg" ]
intricate light patterns. Ultra hd, ultra surrealism, 8k, 16:9
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002433.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 \"intricate light patterns.\nUltra hd, ultra surrealism, 8k, 16:9\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
2004811
[ "2004811_00.jpg", "2004811_01.jpg", "2004811_02.jpg", "2004811_03.jpg", "2004811_04.jpg", "2004811_05.jpg", "2004811_06.jpg", "2004811_07.jpg", "2004811_08.jpg", "2004811_09.jpg", "2004811_10.jpg", "2004811_11.jpg", "2004811_12.jpg", "2004811_13.jpg", "2004811_14.jpg", "2004811_15.jpg" ]
wife got angried , holding a lido in hand
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004811.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 \"wife got angried , holding a lido in hand\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
3004885
[ "3004885_00.jpg", "3004885_01.jpg", "3004885_02.jpg", "3004885_03.jpg", "3004885_04.jpg", "3004885_05.jpg", "3004885_06.jpg", "3004885_07.jpg", "3004885_08.jpg", "3004885_09.jpg", "3004885_10.jpg", "3004885_11.jpg", "3004885_12.jpg", "3004885_13.jpg", "3004885_14.jpg", "3004885_15.jpg" ]
A joyful, energetic squirrel jumping from a power supply to a dense, green forest, in the background a calm turtle walking along a forest path, surrounded by blooming flowers and tall trees.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004885.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 joyful, energetic squirrel jumping from a power supply to a dense, green forest, in the background a calm turtle walking along a forest path, surrounded by blooming flowers and tall 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: 1\n" } ]
2005528
[ "2005528_00.jpg", "2005528_01.jpg", "2005528_02.jpg", "2005528_03.jpg", "2005528_04.jpg", "2005528_05.jpg", "2005528_06.jpg", "2005528_07.jpg", "2005528_08.jpg", "2005528_09.jpg", "2005528_10.jpg", "2005528_11.jpg", "2005528_12.jpg", "2005528_13.jpg", "2005528_14.jpg", "2005528_15.jpg" ]
most dangerous villain in battle with face reveal
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005528.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 \"most dangerous villain in battle with face reveal\",\nall the frames of video are as 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" } ]
2000011
[ "2000011_00.jpg", "2000011_01.jpg", "2000011_02.jpg", "2000011_03.jpg", "2000011_04.jpg", "2000011_05.jpg", "2000011_06.jpg", "2000011_07.jpg", "2000011_08.jpg", "2000011_09.jpg", "2000011_10.jpg", "2000011_11.jpg", "2000011_12.jpg", "2000011_13.jpg", "2000011_14.jpg", "2000011_15.jpg" ]
A fish with legs is standing on a burnt plain
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000011.mp4
3
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A fish with legs is standing on a burnt plain\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2002993
[ "2002993_00.jpg", "2002993_01.jpg", "2002993_02.jpg", "2002993_03.jpg", "2002993_04.jpg", "2002993_05.jpg", "2002993_06.jpg", "2002993_07.jpg", "2002993_08.jpg", "2002993_09.jpg", "2002993_10.jpg", "2002993_11.jpg", "2002993_12.jpg", "2002993_13.jpg", "2002993_14.jpg", "2002993_15.jpg" ]
happy happy happy, cinematic, 4k, arthouse
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002993.mp4
3
2
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"happy happy happy, cinematic, 4k, arthouse\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
2001048
[ "2001048_00.jpg", "2001048_01.jpg", "2001048_02.jpg", "2001048_03.jpg", "2001048_04.jpg", "2001048_05.jpg", "2001048_06.jpg", "2001048_07.jpg", "2001048_08.jpg", "2001048_09.jpg", "2001048_10.jpg", "2001048_11.jpg", "2001048_12.jpg", "2001048_13.jpg", "2001048_14.jpg", "2001048_15.jpg" ]
a team of 20 youngers are dancing on the stage in an activity and get claps from the audince
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001048.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 team of 20 youngers are dancing on the stage in an activity and get claps from the audince\",\nall the frames of video are as 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" } ]
4000644
[ "4000644_00.jpg", "4000644_01.jpg", "4000644_02.jpg", "4000644_03.jpg", "4000644_04.jpg", "4000644_05.jpg", "4000644_06.jpg", "4000644_07.jpg", "4000644_08.jpg", "4000644_09.jpg", "4000644_10.jpg", "4000644_11.jpg", "4000644_12.jpg", "4000644_13.jpg", "4000644_14.jpg", "4000644_15.jpg" ]
Boy reading a book on a hill, 4k
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000644.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 \"Boy reading a book on a hill, 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: 2\n" } ]
7001667
[ "7001667_00.jpg", "7001667_01.jpg", "7001667_02.jpg", "7001667_03.jpg", "7001667_04.jpg", "7001667_05.jpg", "7001667_06.jpg", "7001667_07.jpg" ]
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001667.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 \"\",\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" } ]
4000648
[ "4000648_00.jpg", "4000648_01.jpg", "4000648_02.jpg", "4000648_03.jpg", "4000648_04.jpg", "4000648_05.jpg", "4000648_06.jpg", "4000648_07.jpg", "4000648_08.jpg", "4000648_09.jpg", "4000648_10.jpg", "4000648_11.jpg", "4000648_12.jpg", "4000648_13.jpg", "4000648_14.jpg", "4000648_15.jpg" ]
: Fish mentoring the young fish and sharing his wisdom. cartoon style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000648.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 \": Fish mentoring the young fish and sharing his wisdom. 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> " }, { "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" } ]
2001141
[ "2001141_00.jpg", "2001141_01.jpg", "2001141_02.jpg", "2001141_03.jpg", "2001141_04.jpg", "2001141_05.jpg", "2001141_06.jpg", "2001141_07.jpg", "2001141_08.jpg", "2001141_09.jpg", "2001141_10.jpg", "2001141_11.jpg", "2001141_12.jpg", "2001141_13.jpg", "2001141_14.jpg", "2001141_15.jpg" ]
failing hard and starting over from ashes becoming a warrior and getting over all the obstacles
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001141.mp4
3
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"failing hard and starting over from ashes becoming a warrior and getting over all the obstacles\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6000448
[ "6000448_00.jpg", "6000448_01.jpg", "6000448_02.jpg", "6000448_03.jpg", "6000448_04.jpg", "6000448_05.jpg", "6000448_06.jpg", "6000448_07.jpg", "6000448_08.jpg", "6000448_09.jpg", "6000448_10.jpg", "6000448_11.jpg", "6000448_12.jpg", "6000448_13.jpg", "6000448_14.jpg", "6000448_15.jpg" ]
3d animation of elephant, zebra, fox, monkey standing in zoom in zoom out fog covered deep enchanted illuminated forest
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000448.mp4
1
3
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"3d animation of elephant, zebra, fox, monkey standing in zoom in zoom out fog covered deep enchanted illuminated forest\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6001623
[ "6001623_00.jpg", "6001623_01.jpg", "6001623_02.jpg", "6001623_03.jpg", "6001623_04.jpg", "6001623_05.jpg", "6001623_06.jpg", "6001623_07.jpg", "6001623_08.jpg", "6001623_09.jpg", "6001623_10.jpg", "6001623_11.jpg", "6001623_12.jpg", "6001623_13.jpg", "6001623_14.jpg", "6001623_15.jpg" ]
A worker in summer working in street and cleaning the street. Inside of him is another guy with a luxury car
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001623.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 worker in summer working in street and cleaning the street. Inside of him is another guy with a luxury car\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2003298
[ "2003298_00.jpg", "2003298_01.jpg", "2003298_02.jpg", "2003298_03.jpg", "2003298_04.jpg", "2003298_05.jpg", "2003298_06.jpg", "2003298_07.jpg", "2003298_08.jpg", "2003298_09.jpg", "2003298_10.jpg", "2003298_11.jpg", "2003298_12.jpg", "2003298_13.jpg", "2003298_14.jpg", "2003298_15.jpg" ]
As the sun began to set, Gopal realized that he had wandered quite far from his home. He started to worry about finding his way back to the herd of goats.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003298.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 \"As the sun began to set, Gopal realized that he had wandered quite far from his home. He started to worry about finding his way back to the herd of goats.\",\nall the frames of video are as 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" } ]
5001771
[ "5001771_00.jpg", "5001771_01.jpg", "5001771_02.jpg", "5001771_03.jpg", "5001771_04.jpg", "5001771_05.jpg", "5001771_06.jpg", "5001771_07.jpg", "5001771_08.jpg", "5001771_09.jpg", "5001771_10.jpg", "5001771_11.jpg", "5001771_12.jpg", "5001771_13.jpg", "5001771_14.jpg", "5001771_15.jpg" ]
long shot pushing into of lit bar in war in torn Serbia with bright yellow lights seen within and several military men milling in the background, high detail
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001771.mp4
1
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"long shot pushing into of lit bar in war in torn Serbia with bright yellow lights seen within and several military men milling in the background, high detail\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
6000276
[ "6000276_00.jpg", "6000276_01.jpg", "6000276_02.jpg", "6000276_03.jpg", "6000276_04.jpg", "6000276_05.jpg", "6000276_06.jpg", "6000276_07.jpg", "6000276_08.jpg", "6000276_09.jpg", "6000276_10.jpg", "6000276_11.jpg", "6000276_12.jpg", "6000276_13.jpg", "6000276_14.jpg", "6000276_15.jpg" ]
a horse standing on a rock with its body painted in an array of soft pastel colors. Background a garden with big flowers. The flowers are opening und closing
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000276.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 \"a horse standing on a rock with its body painted in an array of soft pastel colors. Background a garden with big flowers. The flowers are opening und closing\",\nall the frames of video are as 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" } ]
6004375
[ "6004375_00.jpg", "6004375_01.jpg", "6004375_02.jpg", "6004375_03.jpg", "6004375_04.jpg", "6004375_05.jpg", "6004375_06.jpg", "6004375_07.jpg", "6004375_08.jpg", "6004375_09.jpg", "6004375_10.jpg", "6004375_11.jpg", "6004375_12.jpg", "6004375_13.jpg", "6004375_14.jpg", "6004375_15.jpg" ]
The next day, son woke up early and went for a run. He then ate a healthy breakfast and started working on his homework
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004375.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The next day, son woke up early and went for a run. He then ate a healthy breakfast and started working on his homework\",\nall the frames of video are as 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" } ]
6001530
[ "6001530_00.jpg", "6001530_01.jpg", "6001530_02.jpg", "6001530_03.jpg", "6001530_04.jpg", "6001530_05.jpg", "6001530_06.jpg", "6001530_07.jpg", "6001530_08.jpg", "6001530_09.jpg", "6001530_10.jpg", "6001530_11.jpg", "6001530_12.jpg", "6001530_13.jpg", "6001530_14.jpg", "6001530_15.jpg" ]
Mermaid is blinking her eyes and flowing onto the dolphine
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001530.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 \"Mermaid is blinking her eyes and flowing onto the dolphine\",\nall the frames of video are as 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" } ]
3001475
[ "3001475_00.jpg", "3001475_01.jpg", "3001475_02.jpg", "3001475_03.jpg", "3001475_04.jpg", "3001475_05.jpg", "3001475_06.jpg", "3001475_07.jpg", "3001475_08.jpg", "3001475_09.jpg", "3001475_10.jpg", "3001475_11.jpg", "3001475_12.jpg", "3001475_13.jpg", "3001475_14.jpg", "3001475_15.jpg" ]
butterflies, moving wings, multiple butterflies flying, sunshine, 3D animation,
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001475.mp4
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 \"butterflies, moving wings, multiple butterflies flying, sunshine, 3D animation,\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
s000478
[ "s000478_00.jpg", "s000478_01.jpg", "s000478_02.jpg", "s000478_03.jpg", "s000478_04.jpg", "s000478_05.jpg", "s000478_06.jpg", "s000478_07.jpg", "s000478_08.jpg", "s000478_09.jpg", "s000478_10.jpg", "s000478_11.jpg", "s000478_12.jpg", "s000478_13.jpg", "s000478_14.jpg", "s000478_15.jpg", "s000478_16.jpg", "s000478_17.jpg", "s000478_18.jpg", "s000478_19.jpg" ]
a beach with palm trees and waves, showing sunrise to sunset, a beach beauty of full day, palm trees on the beach, tropical beach, beautiful magical palm beach,
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000478.mp4
4
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0
4
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a beach with palm trees and waves, showing sunrise to sunset, a beach beauty of full day, palm trees on the beach, tropical beach, beautiful magical palm beach,\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
3004706
[ "3004706_00.jpg", "3004706_01.jpg", "3004706_02.jpg", "3004706_03.jpg", "3004706_04.jpg", "3004706_05.jpg", "3004706_06.jpg", "3004706_07.jpg", "3004706_08.jpg", "3004706_09.jpg", "3004706_10.jpg", "3004706_11.jpg", "3004706_12.jpg", "3004706_13.jpg", "3004706_14.jpg", "3004706_15.jpg" ]
Amidst the Warfield, close up shots of two swords, cross over the resounding clash echoing through the chaos, illuminated by flashes of thunder light.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004706.mp4
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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 \"Amidst the Warfield, close up shots of two swords, cross over the resounding clash echoing through the chaos, illuminated by flashes of thunder light.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
s000159
[ "s000159_00.jpg", "s000159_01.jpg", "s000159_02.jpg", "s000159_03.jpg", "s000159_04.jpg", "s000159_05.jpg", "s000159_06.jpg", "s000159_07.jpg", "s000159_08.jpg", "s000159_09.jpg", "s000159_10.jpg", "s000159_11.jpg", "s000159_12.jpg", "s000159_13.jpg", "s000159_14.jpg", "s000159_15.jpg", "s000159_16.jpg", "s000159_17.jpg", "s000159_18.jpg", "s000159_19.jpg", "s000159_20.jpg", "s000159_21.jpg", "s000159_22.jpg", "s000159_23.jpg" ]
giant alien meeting in the hall
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000159.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 \"giant alien meeting in the hall\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n" } ]
7004447
[ "7004447_00.jpg", "7004447_01.jpg", "7004447_02.jpg", "7004447_03.jpg", "7004447_04.jpg", "7004447_05.jpg", "7004447_06.jpg", "7004447_07.jpg" ]
5 children show with ther fingers in front direction
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004447.mp4
2
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 \"5 children show with ther fingers in front direction\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2000072
[ "2000072_00.jpg", "2000072_01.jpg", "2000072_02.jpg", "2000072_03.jpg", "2000072_04.jpg", "2000072_05.jpg", "2000072_06.jpg", "2000072_07.jpg", "2000072_08.jpg", "2000072_09.jpg", "2000072_10.jpg", "2000072_11.jpg", "2000072_12.jpg", "2000072_13.jpg", "2000072_14.jpg", "2000072_15.jpg" ]
The story begins with the rabbit running through the forest, avoiding obstacles and leaping over trees. It appears excited to embark on its adventure.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000072.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The story begins with the rabbit running through the forest, avoiding obstacles and leaping over trees. It appears excited to embark on its adventure.\",\nall the frames of video are as 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" } ]
6001512
[ "6001512_00.jpg", "6001512_01.jpg", "6001512_02.jpg", "6001512_03.jpg", "6001512_04.jpg", "6001512_05.jpg", "6001512_06.jpg", "6001512_07.jpg", "6001512_08.jpg", "6001512_09.jpg", "6001512_10.jpg", "6001512_11.jpg", "6001512_12.jpg", "6001512_13.jpg", "6001512_14.jpg", "6001512_15.jpg" ]
MC mouse is standing in a garden and speaking , style cartoon
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001512.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 \"MC mouse is standing in a garden and speaking , style cartoon\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
5000350
[ "5000350_00.jpg", "5000350_01.jpg", "5000350_02.jpg", "5000350_03.jpg", "5000350_04.jpg", "5000350_05.jpg", "5000350_06.jpg", "5000350_07.jpg", "5000350_08.jpg", "5000350_09.jpg", "5000350_10.jpg", "5000350_11.jpg", "5000350_12.jpg", "5000350_13.jpg", "5000350_14.jpg", "5000350_15.jpg" ]
A young girl named Lily is surrounded by three friends
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000350.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 young girl named Lily is surrounded by three friends\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1002344
[ "1002344_00.jpg", "1002344_01.jpg", "1002344_02.jpg", "1002344_03.jpg", "1002344_04.jpg", "1002344_05.jpg", "1002344_06.jpg", "1002344_07.jpg", "1002344_08.jpg", "1002344_09.jpg", "1002344_10.jpg", "1002344_11.jpg", "1002344_12.jpg", "1002344_13.jpg", "1002344_14.jpg", "1002344_15.jpg" ]
Create a video that opens with a breathtaking sunrise, symbolizing the start of a new day filled with opportunities. video size 1920x1080p
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002344.mp4
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 \"Create a video that opens with a breathtaking sunrise, symbolizing the start of a new day filled with opportunities. video size 1920x1080p\",\nall the frames of video are as 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" } ]
6001786
[ "6001786_00.jpg", "6001786_01.jpg", "6001786_02.jpg", "6001786_03.jpg", "6001786_04.jpg", "6001786_05.jpg", "6001786_06.jpg", "6001786_07.jpg", "6001786_08.jpg", "6001786_09.jpg", "6001786_10.jpg", "6001786_11.jpg", "6001786_12.jpg", "6001786_13.jpg", "6001786_14.jpg", "6001786_15.jpg" ]
Showcasing the skyline of the entire city, the sun slowly sets, leaving behind a peaceful and beautiful scene.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001786.mp4
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 \"Showcasing the skyline of the entire city, the sun slowly sets, leaving behind a peaceful and beautiful scene.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6003468
[ "6003468_00.jpg", "6003468_01.jpg", "6003468_02.jpg", "6003468_03.jpg", "6003468_04.jpg", "6003468_05.jpg", "6003468_06.jpg", "6003468_07.jpg", "6003468_08.jpg", "6003468_09.jpg", "6003468_10.jpg", "6003468_11.jpg", "6003468_12.jpg", "6003468_13.jpg", "6003468_14.jpg", "6003468_15.jpg" ]
realistic robot war dark cyberpunk atmosphere
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003468.mp4
1
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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 \"realistic robot war dark cyberpunk atmosphere\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
s000214
[ "s000214_00.jpg", "s000214_01.jpg", "s000214_02.jpg", "s000214_03.jpg", "s000214_04.jpg", "s000214_05.jpg", "s000214_06.jpg", "s000214_07.jpg", "s000214_08.jpg", "s000214_09.jpg", "s000214_10.jpg", "s000214_11.jpg", "s000214_12.jpg", "s000214_13.jpg", "s000214_14.jpg", "s000214_15.jpg", "s000214_16.jpg", "s000214_17.jpg", "s000214_18.jpg", "s000214_19.jpg" ]
Once upon a time, in the illustrious kingdom of Eldoria, there existed a timeless tale of love that transcended borders and enchanted the hearts of all who heard it. At its heart were two noble souls, destined by fate and bound by destiny.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000214.mp4
4
4
2
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 \"Once upon a time, in the illustrious kingdom of Eldoria, there existed a timeless tale of love that transcended borders and enchanted the hearts of all who heard it. At its heart were two noble souls, destined by fate and bound by destiny.\",\nall the 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: 2\n text-to-video alignment: 0\n factual consistency: 4\n" } ]
6002993
[ "6002993_00.jpg", "6002993_01.jpg", "6002993_02.jpg", "6002993_03.jpg", "6002993_04.jpg", "6002993_05.jpg", "6002993_06.jpg", "6002993_07.jpg", "6002993_08.jpg", "6002993_09.jpg", "6002993_10.jpg", "6002993_11.jpg", "6002993_12.jpg", "6002993_13.jpg", "6002993_14.jpg", "6002993_15.jpg" ]
a man of class elegant intelligent handsome
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002993.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a man of class elegant intelligent handsome\",\nall the frames of video are as 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" } ]
7002893
[ "7002893_00.jpg", "7002893_01.jpg", "7002893_02.jpg", "7002893_03.jpg", "7002893_04.jpg", "7002893_05.jpg", "7002893_06.jpg", "7002893_07.jpg" ]
a video of a woman smiling zoom slowly by slowly
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002893.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 video of a woman smiling zoom slowly by slowly\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3001410
[ "3001410_00.jpg", "3001410_01.jpg", "3001410_02.jpg", "3001410_03.jpg", "3001410_04.jpg", "3001410_05.jpg", "3001410_06.jpg", "3001410_07.jpg", "3001410_08.jpg", "3001410_09.jpg", "3001410_10.jpg", "3001410_11.jpg", "3001410_12.jpg", "3001410_13.jpg", "3001410_14.jpg", "3001410_15.jpg" ]
unreal engine. ghibli source. jungle water fall
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001410.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"unreal engine. ghibli source. jungle water fall\",\nall the frames of video are as 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" } ]
2000347
[ "2000347_00.jpg", "2000347_01.jpg", "2000347_02.jpg", "2000347_03.jpg", "2000347_04.jpg", "2000347_05.jpg", "2000347_06.jpg", "2000347_07.jpg", "2000347_08.jpg", "2000347_09.jpg", "2000347_10.jpg", "2000347_11.jpg", "2000347_12.jpg", "2000347_13.jpg", "2000347_14.jpg", "2000347_15.jpg" ]
with two colors, red and black, a couple of lovers dance passionate faster
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000347.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 \"with two colors, red and black, a couple of lovers dance passionate faster\",\nall the frames of video are as 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" } ]
4004832
[ "4004832_00.jpg", "4004832_01.jpg", "4004832_02.jpg", "4004832_03.jpg", "4004832_04.jpg", "4004832_05.jpg", "4004832_06.jpg", "4004832_07.jpg", "4004832_08.jpg", "4004832_09.jpg", "4004832_10.jpg", "4004832_11.jpg", "4004832_12.jpg", "4004832_13.jpg", "4004832_14.jpg", "4004832_15.jpg" ]
german chancellor Scholz Eye Patch Clone Army Big Band rocking the house
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004832.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 \"german chancellor Scholz Eye Patch Clone Army Big Band rocking 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: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
8000308
[ "8000308_00.jpg", "8000308_01.jpg", "8000308_02.jpg", "8000308_03.jpg", "8000308_04.jpg", "8000308_05.jpg", "8000308_06.jpg", "8000308_07.jpg", "8000308_08.jpg", "8000308_09.jpg", "8000308_10.jpg", "8000308_11.jpg", "8000308_12.jpg", "8000308_13.jpg", "8000308_14.jpg", "8000308_15.jpg", "8000308_16.jpg", "8000308_17.jpg", "8000308_18.jpg", "8000308_19.jpg", "8000308_20.jpg", "8000308_21.jpg", "8000308_22.jpg", "8000308_23.jpg" ]
photorealistic flying SPRAYS PAINT , many details COLLORS NEON , Ultra detailed, octane render,BY SADOBOARD
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000308.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 \"photorealistic flying SPRAYS PAINT , many details COLLORS NEON , Ultra detailed, octane render,BY SADOBOARD\",\nall the 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: 2\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" ]
The laboratory is bustling with activity as researchers move around, conducting experiments and analyzing data. Dr. Lawson is seated at her computer, immersed in her work. On her desk, there are notebooks filled with calculations, a cup of coffee, and a stack of research papers.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000603.mp4
2
3
1
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The laboratory is bustling with activity as researchers move around, conducting experiments and analyzing data. Dr. Lawson is seated at her computer, immersed in her work. On her desk, there are notebooks filled with calculations, a cup of coffee, and a stack of research papers.\",\nall the frames of video are as 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" } ]
1005366
[ "1005366_00.jpg", "1005366_01.jpg", "1005366_02.jpg", "1005366_03.jpg", "1005366_04.jpg", "1005366_05.jpg", "1005366_06.jpg", "1005366_07.jpg", "1005366_08.jpg", "1005366_09.jpg", "1005366_10.jpg", "1005366_11.jpg", "1005366_12.jpg", "1005366_13.jpg", "1005366_14.jpg", "1005366_15.jpg" ]
beautiful girl, kimono, walk, full shot
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005366.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 \"beautiful girl, kimono, walk, full shot\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
6003226
[ "6003226_00.jpg", "6003226_01.jpg", "6003226_02.jpg", "6003226_03.jpg", "6003226_04.jpg", "6003226_05.jpg", "6003226_06.jpg", "6003226_07.jpg", "6003226_08.jpg", "6003226_09.jpg", "6003226_10.jpg", "6003226_11.jpg", "6003226_12.jpg", "6003226_13.jpg", "6003226_14.jpg", "6003226_15.jpg" ]
mars is converting to blue and green like earth
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003226.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 \"mars is converting to blue and green like earth\",\nall the frames of video are as 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" } ]
8001600
[ "8001600_00.jpg", "8001600_01.jpg", "8001600_02.jpg", "8001600_03.jpg", "8001600_04.jpg", "8001600_05.jpg", "8001600_06.jpg", "8001600_07.jpg", "8001600_08.jpg", "8001600_09.jpg", "8001600_10.jpg", "8001600_11.jpg", "8001600_12.jpg", "8001600_13.jpg", "8001600_14.jpg", "8001600_15.jpg", "8001600_16.jpg", "8001600_17.jpg", "8001600_18.jpg", "8001600_19.jpg", "8001600_20.jpg", "8001600_21.jpg", "8001600_22.jpg", "8001600_23.jpg" ]
Dragon in New York, octane render, 4K, 8K
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001600.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 \"Dragon in New York, octane render, 4K, 8K\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
9000288
[ "9000288_00.jpg", "9000288_01.jpg", "9000288_02.jpg", "9000288_03.jpg", "9000288_04.jpg", "9000288_05.jpg", "9000288_06.jpg", "9000288_07.jpg", "9000288_08.jpg", "9000288_09.jpg", "9000288_10.jpg", "9000288_11.jpg", "9000288_12.jpg", "9000288_13.jpg", "9000288_14.jpg", "9000288_15.jpg", "9000288_16.jpg", "9000288_17.jpg", "9000288_18.jpg", "9000288_19.jpg", "9000288_20.jpg", "9000288_21.jpg", "9000288_22.jpg", "9000288_23.jpg" ]
video of a girl standing on a valley bridge
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000288.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 \"video of a girl standing on a valley bridge\",\nall the 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" } ]
4000032
[ "4000032_00.jpg", "4000032_01.jpg", "4000032_02.jpg", "4000032_03.jpg", "4000032_04.jpg", "4000032_05.jpg", "4000032_06.jpg", "4000032_07.jpg", "4000032_08.jpg", "4000032_09.jpg", "4000032_10.jpg", "4000032_11.jpg", "4000032_12.jpg", "4000032_13.jpg", "4000032_14.jpg", "4000032_15.jpg" ]
A gingercat chasin a mouse in the grass Message: Jacobus (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000032.mp4
3
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 \"A gingercat chasin a mouse in the grass Message: Jacobus (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: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
2001733
[ "2001733_00.jpg", "2001733_01.jpg", "2001733_02.jpg", "2001733_03.jpg", "2001733_04.jpg", "2001733_05.jpg", "2001733_06.jpg", "2001733_07.jpg", "2001733_08.jpg", "2001733_09.jpg", "2001733_10.jpg", "2001733_11.jpg", "2001733_12.jpg", "2001733_13.jpg", "2001733_14.jpg", "2001733_15.jpg" ]
hotel vela ( W hotel) on the beach of Barcelona is burning
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001733.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 \"hotel vela ( W hotel) on the beach of Barcelona is burning\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
3001696
[ "3001696_00.jpg", "3001696_01.jpg", "3001696_02.jpg", "3001696_03.jpg", "3001696_04.jpg", "3001696_05.jpg", "3001696_06.jpg", "3001696_07.jpg", "3001696_08.jpg", "3001696_09.jpg", "3001696_10.jpg", "3001696_11.jpg", "3001696_12.jpg", "3001696_13.jpg", "3001696_14.jpg", "3001696_15.jpg" ]
gigi becali face the warrior of light motion
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001696.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 \"gigi becali face the warrior of light motion\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
7004026
[ "7004026_00.jpg", "7004026_01.jpg", "7004026_02.jpg", "7004026_03.jpg", "7004026_04.jpg", "7004026_05.jpg", "7004026_06.jpg", "7004026_07.jpg" ]
a giant duck walks through the streets in Boston
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004026.mp4
2
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a giant duck walks through the streets in Boston\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1004417
[ "1004417_00.jpg", "1004417_01.jpg", "1004417_02.jpg", "1004417_03.jpg", "1004417_04.jpg", "1004417_05.jpg", "1004417_06.jpg", "1004417_07.jpg", "1004417_08.jpg", "1004417_09.jpg", "1004417_10.jpg", "1004417_11.jpg", "1004417_12.jpg", "1004417_13.jpg", "1004417_14.jpg", "1004417_15.jpg" ]
an old man take a sip of his coffee in starbucks
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004417.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"an old man take a sip of his coffee in starbucks\",\nall the frames of video are as 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" } ]
3005686
[ "3005686_00.jpg", "3005686_01.jpg", "3005686_02.jpg", "3005686_03.jpg", "3005686_04.jpg", "3005686_05.jpg", "3005686_06.jpg", "3005686_07.jpg", "3005686_08.jpg", "3005686_09.jpg", "3005686_10.jpg", "3005686_11.jpg", "3005686_12.jpg", "3005686_13.jpg", "3005686_14.jpg", "3005686_15.jpg" ]
A motorcycle with deteriorated paint, transformed into a new motorcycle with decals and new paint.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005686.mp4
1
2
2
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A motorcycle with deteriorated paint, transformed into a new motorcycle with decals and new paint.\",\nall the frames of video are as 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" } ]
7003288
[ "7003288_00.jpg", "7003288_01.jpg", "7003288_02.jpg", "7003288_03.jpg", "7003288_04.jpg", "7003288_05.jpg", "7003288_06.jpg", "7003288_07.jpg" ]
Generate images of Santa delivering gifts, each present leaving a trail of sparkling snowflakes and a touch of winter wonder. Showcase the joyous reactions of children discovering the magical transformation of their presents.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003288.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 \"Generate images of Santa delivering gifts, each present leaving a trail of sparkling snowflakes and a touch of winter wonder. Showcase the joyous reactions of children discovering the magical transformation of their presents.\",\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" } ]
1002797
[ "1002797_00.jpg", "1002797_01.jpg", "1002797_02.jpg", "1002797_03.jpg", "1002797_04.jpg", "1002797_05.jpg", "1002797_06.jpg", "1002797_07.jpg", "1002797_08.jpg", "1002797_09.jpg", "1002797_10.jpg", "1002797_11.jpg", "1002797_12.jpg", "1002797_13.jpg", "1002797_14.jpg", "1002797_15.jpg" ]
Charles Vincent Bellamy, posh late Victorian era geologist and major, having a tea party with his wife
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002797.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 \"Charles Vincent Bellamy, posh late Victorian era geologist and major, having a tea party with his wife\",\nall the frames of video are as 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" } ]
5000347
[ "5000347_00.jpg", "5000347_01.jpg", "5000347_02.jpg", "5000347_03.jpg", "5000347_04.jpg", "5000347_05.jpg", "5000347_06.jpg", "5000347_07.jpg", "5000347_08.jpg", "5000347_09.jpg", "5000347_10.jpg", "5000347_11.jpg", "5000347_12.jpg", "5000347_13.jpg", "5000347_14.jpg", "5000347_15.jpg" ]
green powerpuff girl driving in a cool old fashion car in LA at night
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000347.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 \"green powerpuff girl driving in a cool old fashion car in LA at 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> " }, { "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" } ]
6000810
[ "6000810_00.jpg", "6000810_01.jpg", "6000810_02.jpg", "6000810_03.jpg", "6000810_04.jpg", "6000810_05.jpg", "6000810_06.jpg", "6000810_07.jpg", "6000810_08.jpg", "6000810_09.jpg", "6000810_10.jpg", "6000810_11.jpg", "6000810_12.jpg", "6000810_13.jpg", "6000810_14.jpg", "6000810_15.jpg" ]
Zinbad walking through mid evil dungeon
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000810.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 \"Zinbad walking through mid evil dungeon\",\nall the frames of video are as 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" } ]
4001332
[ "4001332_00.jpg", "4001332_01.jpg", "4001332_02.jpg", "4001332_03.jpg", "4001332_04.jpg", "4001332_05.jpg", "4001332_06.jpg", "4001332_07.jpg", "4001332_08.jpg", "4001332_09.jpg", "4001332_10.jpg", "4001332_11.jpg", "4001332_12.jpg", "4001332_13.jpg", "4001332_14.jpg", "4001332_15.jpg" ]
Aerial photography, US Pentagon, panorama, old movies
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001332.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 \"Aerial photography, US Pentagon, panorama, old movies\",\nall the frames of video are as 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" } ]
3002977
[ "3002977_00.jpg", "3002977_01.jpg", "3002977_02.jpg", "3002977_03.jpg", "3002977_04.jpg", "3002977_05.jpg", "3002977_06.jpg", "3002977_07.jpg", "3002977_08.jpg", "3002977_09.jpg", "3002977_10.jpg", "3002977_11.jpg", "3002977_12.jpg", "3002977_13.jpg", "3002977_14.jpg", "3002977_15.jpg" ]
alien space ships in the clouds over a city, extremely intricate, masterpiece, 4k, raw image
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002977.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 \"alien space ships in the clouds over a city, extremely intricate, masterpiece, 4k, raw image\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
4001649
[ "4001649_00.jpg", "4001649_01.jpg", "4001649_02.jpg", "4001649_03.jpg", "4001649_04.jpg", "4001649_05.jpg", "4001649_06.jpg", "4001649_07.jpg", "4001649_08.jpg", "4001649_09.jpg", "4001649_10.jpg", "4001649_11.jpg", "4001649_12.jpg", "4001649_13.jpg", "4001649_14.jpg", "4001649_15.jpg" ]
couple in beach and looking at sunset 30 second clip
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001649.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 \"couple in beach and looking at sunset 30 second clip\",\nall the frames of video are as 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" } ]
7000948
[ "7000948_00.jpg", "7000948_01.jpg", "7000948_02.jpg", "7000948_03.jpg", "7000948_04.jpg", "7000948_05.jpg", "7000948_06.jpg", "7000948_07.jpg" ]
A mesmerizing portrait of a red headed woman radiating joy, her smile capturing the essence of pure happiness. Seek realism and intricate details to showcase the depth of her emotions and the subtle nuances of her expression.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000948.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 mesmerizing portrait of a red headed woman radiating joy, her smile capturing the essence of pure happiness. Seek realism and intricate details to showcase the depth of her emotions and the subtle nuances of her expression.\",\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" } ]
0000303
[ "0000303_00.jpg", "0000303_01.jpg", "0000303_02.jpg", "0000303_03.jpg", "0000303_04.jpg", "0000303_05.jpg", "0000303_06.jpg", "0000303_07.jpg", "0000303_08.jpg", "0000303_09.jpg", "0000303_10.jpg", "0000303_11.jpg", "0000303_12.jpg", "0000303_13.jpg", "0000303_14.jpg", "0000303_15.jpg", "0000303_16.jpg", "0000303_17.jpg", "0000303_18.jpg", "0000303_19.jpg", "0000303_20.jpg", "0000303_21.jpg", "0000303_22.jpg", "0000303_23.jpg" ]
silver ball bouncing with the reflection of a tree
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000303.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 \"silver ball bouncing with the reflection of a 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> <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" } ]
4001936
[ "4001936_00.jpg", "4001936_01.jpg", "4001936_02.jpg", "4001936_03.jpg", "4001936_04.jpg", "4001936_05.jpg", "4001936_06.jpg", "4001936_07.jpg", "4001936_08.jpg", "4001936_09.jpg", "4001936_10.jpg", "4001936_11.jpg", "4001936_12.jpg", "4001936_13.jpg", "4001936_14.jpg", "4001936_15.jpg" ]
A labrador wearing cowboy attire, riding into the sunset, 14:3.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001936.mp4
3
3
1
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A labrador wearing cowboy attire, riding into the sunset, 14:3.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
4000328
[ "4000328_00.jpg", "4000328_01.jpg", "4000328_02.jpg", "4000328_03.jpg", "4000328_04.jpg", "4000328_05.jpg", "4000328_06.jpg", "4000328_07.jpg", "4000328_08.jpg", "4000328_09.jpg", "4000328_10.jpg", "4000328_11.jpg", "4000328_12.jpg", "4000328_13.jpg", "4000328_14.jpg", "4000328_15.jpg" ]
Little kitten running on water cute beautiful big eyes good detail high definition 4K
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000328.mp4
2
1
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Little kitten running on water cute beautiful big eyes good detail high definition 4K\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6003722
[ "6003722_00.jpg", "6003722_01.jpg", "6003722_02.jpg", "6003722_03.jpg", "6003722_04.jpg", "6003722_05.jpg", "6003722_06.jpg", "6003722_07.jpg", "6003722_08.jpg", "6003722_09.jpg", "6003722_10.jpg", "6003722_11.jpg", "6003722_12.jpg", "6003722_13.jpg", "6003722_14.jpg", "6003722_15.jpg" ]
silver orchid floating in space, white stars sourrounding object, light glowing from left to right
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003722.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 \"silver orchid floating in space, white stars sourrounding object, light glowing from left to right\",\nall the frames of video are as 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" } ]
1005953
[ "1005953_00.jpg", "1005953_01.jpg", "1005953_02.jpg", "1005953_03.jpg", "1005953_04.jpg", "1005953_05.jpg", "1005953_06.jpg", "1005953_07.jpg", "1005953_08.jpg", "1005953_09.jpg", "1005953_10.jpg", "1005953_11.jpg", "1005953_12.jpg", "1005953_13.jpg", "1005953_14.jpg", "1005953_15.jpg" ]
agronomist in the field talking about the birth of Jesus
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005953.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 \"agronomist in the field talking about the birth of Jesus\",\nall the frames of video are as 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" } ]
7003377
[ "7003377_00.jpg", "7003377_01.jpg", "7003377_02.jpg", "7003377_03.jpg", "7003377_04.jpg", "7003377_05.jpg", "7003377_06.jpg", "7003377_07.jpg" ]
People smile at the camera with gratitude and joy. image background movement
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003377.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 \"People smile at the camera with gratitude and joy. image background movement\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1000766
[ "1000766_00.jpg", "1000766_01.jpg", "1000766_02.jpg", "1000766_03.jpg", "1000766_04.jpg", "1000766_05.jpg", "1000766_06.jpg", "1000766_07.jpg", "1000766_08.jpg", "1000766_09.jpg", "1000766_10.jpg", "1000766_11.jpg", "1000766_12.jpg", "1000766_13.jpg", "1000766_14.jpg", "1000766_15.jpg" ]
generate an image of the bulb and man inside it,photoreal image
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000766.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"generate an image of the bulb and man inside it,photoreal image\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6000965
[ "6000965_00.jpg", "6000965_01.jpg", "6000965_02.jpg", "6000965_03.jpg", "6000965_04.jpg", "6000965_05.jpg", "6000965_06.jpg", "6000965_07.jpg", "6000965_08.jpg", "6000965_09.jpg", "6000965_10.jpg", "6000965_11.jpg", "6000965_12.jpg", "6000965_13.jpg", "6000965_14.jpg", "6000965_15.jpg" ]
Charles Vincent Bellamy, posh late Victorian era geologist and major, having a tea party with his wife
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000965.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 \"Charles Vincent Bellamy, posh late Victorian era geologist and major, having a tea party with his wife\",\nall the frames of video are as 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" } ]
2002542
[ "2002542_00.jpg", "2002542_01.jpg", "2002542_02.jpg", "2002542_03.jpg", "2002542_04.jpg", "2002542_05.jpg", "2002542_06.jpg", "2002542_07.jpg", "2002542_08.jpg", "2002542_09.jpg", "2002542_10.jpg", "2002542_11.jpg", "2002542_12.jpg", "2002542_13.jpg", "2002542_14.jpg", "2002542_15.jpg" ]
red exit sign, glowing, 3d rendering
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002542.mp4
3
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 \"red exit sign, glowing, 3d rendering\",\nall the frames of video are as 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: 3\n" } ]
5000276
[ "5000276_00.jpg", "5000276_01.jpg", "5000276_02.jpg", "5000276_03.jpg", "5000276_04.jpg", "5000276_05.jpg", "5000276_06.jpg", "5000276_07.jpg", "5000276_08.jpg", "5000276_09.jpg", "5000276_10.jpg", "5000276_11.jpg", "5000276_12.jpg", "5000276_13.jpg", "5000276_14.jpg", "5000276_15.jpg" ]
The room was covered with a complex system of electronic circuits, electric currents flickered and glowed, and major components were facing the screen,powerful current flashes VFX in the center.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000276.mp4
2
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The room was covered with a complex system of electronic circuits, electric currents flickered and glowed, and major components were facing the screen,powerful current flashes VFX in the center.\",\nall the frames of video are as 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" } ]
0002949
[ "0002949_00.jpg", "0002949_01.jpg", "0002949_02.jpg", "0002949_03.jpg", "0002949_04.jpg", "0002949_05.jpg", "0002949_06.jpg", "0002949_07.jpg", "0002949_08.jpg", "0002949_09.jpg", "0002949_10.jpg", "0002949_11.jpg", "0002949_12.jpg", "0002949_13.jpg", "0002949_14.jpg", "0002949_15.jpg", "0002949_16.jpg", "0002949_17.jpg", "0002949_18.jpg", "0002949_19.jpg", "0002949_20.jpg", "0002949_21.jpg", "0002949_22.jpg", "0002949_23.jpg" ]
an executive in a suit in a backseat car with purple lights behind him, in the style of 2d game art, neon lighting
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002949.mp4
2
3
1
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"an executive in a suit in a backseat car with purple lights behind him, in the style of 2d game art, neon lighting\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
8001853
[ "8001853_00.jpg", "8001853_01.jpg", "8001853_02.jpg", "8001853_03.jpg", "8001853_04.jpg", "8001853_05.jpg", "8001853_06.jpg", "8001853_07.jpg", "8001853_08.jpg", "8001853_09.jpg", "8001853_10.jpg", "8001853_11.jpg", "8001853_12.jpg", "8001853_13.jpg", "8001853_14.jpg", "8001853_15.jpg", "8001853_16.jpg", "8001853_17.jpg", "8001853_18.jpg", "8001853_19.jpg", "8001853_20.jpg", "8001853_21.jpg", "8001853_22.jpg", "8001853_23.jpg" ]
a blonde lady in a red dress drinking a martini at a hotel bar
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001853.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 blonde lady in a red dress drinking a martini at a hotel bar\",\nall the 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" } ]
2004579
[ "2004579_00.jpg", "2004579_01.jpg", "2004579_02.jpg", "2004579_03.jpg", "2004579_04.jpg", "2004579_05.jpg", "2004579_06.jpg", "2004579_07.jpg", "2004579_08.jpg", "2004579_09.jpg", "2004579_10.jpg", "2004579_11.jpg", "2004579_12.jpg", "2004579_13.jpg", "2004579_14.jpg", "2004579_15.jpg" ]
blue and yellow plane and growing sunflower
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004579.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 \"blue and yellow plane and growing sunflower\",\nall the frames of video are as 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" } ]
1001791
[ "1001791_00.jpg", "1001791_01.jpg", "1001791_02.jpg", "1001791_03.jpg", "1001791_04.jpg", "1001791_05.jpg", "1001791_06.jpg", "1001791_07.jpg", "1001791_08.jpg", "1001791_09.jpg", "1001791_10.jpg", "1001791_11.jpg", "1001791_12.jpg", "1001791_13.jpg", "1001791_14.jpg", "1001791_15.jpg" ]
found footage, old footage, of a man using real superpowers, 50s, detailed, highres, black and white, old video, details, realistic, real
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001791.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 \"found footage, old footage, of a man using real superpowers, 50s, detailed, highres, black and white, old video, details, realistic, real\",\nall the frames of video are as 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" } ]
5000853
[ "5000853_00.jpg", "5000853_01.jpg", "5000853_02.jpg", "5000853_03.jpg", "5000853_04.jpg", "5000853_05.jpg", "5000853_06.jpg", "5000853_07.jpg", "5000853_08.jpg", "5000853_09.jpg", "5000853_10.jpg", "5000853_11.jpg", "5000853_12.jpg", "5000853_13.jpg", "5000853_14.jpg", "5000853_15.jpg" ]
The tortoise carrying Anansi on his back up the tall tree, with the vast savanna stretching out below and the moon rising in the distance.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000853.mp4
2
2
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The tortoise carrying Anansi on his back up the tall tree, with the vast savanna stretching out below and the moon rising in the distance.\",\nall the frames of video are as 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" } ]