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24
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947
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89
89
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4
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int64
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2000126
[ "2000126_00.jpg", "2000126_01.jpg", "2000126_02.jpg", "2000126_03.jpg", "2000126_04.jpg", "2000126_05.jpg", "2000126_06.jpg", "2000126_07.jpg", "2000126_08.jpg", "2000126_09.jpg", "2000126_10.jpg", "2000126_11.jpg", "2000126_12.jpg", "2000126_13.jpg", "2000126_14.jpg", "2000126_15.jpg" ]
a video showing autumn maple leaves flying all over and a beautiful punjabi girl like neeru bajwa walking over those leaves on a beautiful hill
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000126.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 video showing autumn maple leaves flying all over and a beautiful punjabi girl like neeru bajwa walking over those leaves on a beautiful hill\",\nall the frames of video are as 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" } ]
1002838
[ "1002838_00.jpg", "1002838_01.jpg", "1002838_02.jpg", "1002838_03.jpg", "1002838_04.jpg", "1002838_05.jpg", "1002838_06.jpg", "1002838_07.jpg", "1002838_08.jpg", "1002838_09.jpg", "1002838_10.jpg", "1002838_11.jpg", "1002838_12.jpg", "1002838_13.jpg", "1002838_14.jpg", "1002838_15.jpg" ]
This close-up shot of a Victoria crowned pigeon showcases its striking blue plumage and red chest. Its crest is made of delicate, lacy feathers, while its eye is a striking red color. The bird’s head is tilted slightly to the side, giving the impression of it looking regal and majestic. The background is blurred, drawing attention to the bird’s striking appearance.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002838.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 \"This close-up shot of a Victoria crowned pigeon showcases its striking blue plumage and red chest. Its crest is made of delicate, lacy feathers, while its eye is a striking red color. The bird’s head is tilted slightly to the side, giving the impression of it looking regal and majestic. The background is blurred, drawing attention to the bird’s striking appearance.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
4004108
[ "4004108_00.jpg", "4004108_01.jpg", "4004108_02.jpg", "4004108_03.jpg", "4004108_04.jpg", "4004108_05.jpg", "4004108_06.jpg", "4004108_07.jpg", "4004108_08.jpg", "4004108_09.jpg", "4004108_10.jpg", "4004108_11.jpg", "4004108_12.jpg", "4004108_13.jpg", "4004108_14.jpg", "4004108_15.jpg" ]
a woman laid on the floor unconscious dark background night
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004108.mp4
1
3
2
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a woman laid on the floor unconscious dark background 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: 1\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
8002998
[ "8002998_00.jpg", "8002998_01.jpg", "8002998_02.jpg", "8002998_03.jpg", "8002998_04.jpg", "8002998_05.jpg", "8002998_06.jpg", "8002998_07.jpg", "8002998_08.jpg", "8002998_09.jpg", "8002998_10.jpg", "8002998_11.jpg", "8002998_12.jpg", "8002998_13.jpg", "8002998_14.jpg", "8002998_15.jpg", "8002998_16.jpg", "8002998_17.jpg", "8002998_18.jpg", "8002998_19.jpg", "8002998_20.jpg", "8002998_21.jpg", "8002998_22.jpg", "8002998_23.jpg" ]
japan style, box chinese food, purple lights.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002998.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 \"japan style, box chinese food, purple lights.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
1000869
[ "1000869_00.jpg", "1000869_01.jpg", "1000869_02.jpg", "1000869_03.jpg", "1000869_04.jpg", "1000869_05.jpg", "1000869_06.jpg", "1000869_07.jpg", "1000869_08.jpg", "1000869_09.jpg", "1000869_10.jpg", "1000869_11.jpg", "1000869_12.jpg", "1000869_13.jpg", "1000869_14.jpg", "1000869_15.jpg" ]
create a flying pegasus in sky
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000869.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"create a flying pegasus in sky\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6002316
[ "6002316_00.jpg", "6002316_01.jpg", "6002316_02.jpg", "6002316_03.jpg", "6002316_04.jpg", "6002316_05.jpg", "6002316_06.jpg", "6002316_07.jpg", "6002316_08.jpg", "6002316_09.jpg", "6002316_10.jpg", "6002316_11.jpg", "6002316_12.jpg", "6002316_13.jpg", "6002316_14.jpg", "6002316_15.jpg" ]
Hair fluttering, eyes open and eyes closed
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002316.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 \"Hair fluttering, eyes open and eyes closed\",\nall the frames of video are as 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" } ]
2000178
[ "2000178_00.jpg", "2000178_01.jpg", "2000178_02.jpg", "2000178_03.jpg", "2000178_04.jpg", "2000178_05.jpg", "2000178_06.jpg", "2000178_07.jpg", "2000178_08.jpg", "2000178_09.jpg", "2000178_10.jpg", "2000178_11.jpg", "2000178_12.jpg", "2000178_13.jpg", "2000178_14.jpg", "2000178_15.jpg" ]
cinematic, red superhero cape flapping in the wind, 3d animation, 16:9.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000178.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 \"cinematic, red superhero cape flapping in the wind, 3d animation, 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: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1004168
[ "1004168_00.jpg", "1004168_01.jpg", "1004168_02.jpg", "1004168_03.jpg", "1004168_04.jpg", "1004168_05.jpg", "1004168_06.jpg", "1004168_07.jpg", "1004168_08.jpg", "1004168_09.jpg", "1004168_10.jpg", "1004168_11.jpg", "1004168_12.jpg", "1004168_13.jpg", "1004168_14.jpg", "1004168_15.jpg" ]
in style of oil painting, lake at sunset, a red bird flying over the water, little breeze
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004168.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 \"in style of oil painting, lake at sunset, a red bird flying over the water, little breeze\",\nall the frames of video are as 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" } ]
4004389
[ "4004389_00.jpg", "4004389_01.jpg", "4004389_02.jpg", "4004389_03.jpg", "4004389_04.jpg", "4004389_05.jpg", "4004389_06.jpg", "4004389_07.jpg", "4004389_08.jpg", "4004389_09.jpg", "4004389_10.jpg", "4004389_11.jpg", "4004389_12.jpg", "4004389_13.jpg", "4004389_14.jpg", "4004389_15.jpg" ]
a bowl
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004389.mp4
1
3
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a bowl\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
2000923
[ "2000923_00.jpg", "2000923_01.jpg", "2000923_02.jpg", "2000923_03.jpg", "2000923_04.jpg", "2000923_05.jpg", "2000923_06.jpg", "2000923_07.jpg", "2000923_08.jpg", "2000923_09.jpg", "2000923_10.jpg", "2000923_11.jpg", "2000923_12.jpg", "2000923_13.jpg", "2000923_14.jpg", "2000923_15.jpg" ]
political gathering in bangladesh, speech being delivered by prime minister, who is female, millions of people is cheering. 4k realistic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000923.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 \"political gathering in bangladesh, speech being delivered by prime minister, who is female, millions of people is cheering. 4k realistic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
0002754
[ "0002754_00.jpg", "0002754_01.jpg", "0002754_02.jpg", "0002754_03.jpg", "0002754_04.jpg", "0002754_05.jpg", "0002754_06.jpg", "0002754_07.jpg", "0002754_08.jpg", "0002754_09.jpg", "0002754_10.jpg", "0002754_11.jpg", "0002754_12.jpg", "0002754_13.jpg", "0002754_14.jpg", "0002754_15.jpg", "0002754_16.jpg", "0002754_17.jpg", "0002754_18.jpg", "0002754_19.jpg", "0002754_20.jpg", "0002754_21.jpg", "0002754_22.jpg", "0002754_23.jpg" ]
The lake at night, its water moves, the stars shine, the moon is bright, and the winds move
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002754.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 \"The lake at night, its water moves, the stars shine, the moon is bright, and the winds move\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
1002055
[ "1002055_00.jpg", "1002055_01.jpg", "1002055_02.jpg", "1002055_03.jpg", "1002055_04.jpg", "1002055_05.jpg", "1002055_06.jpg", "1002055_07.jpg", "1002055_08.jpg", "1002055_09.jpg", "1002055_10.jpg", "1002055_11.jpg", "1002055_12.jpg", "1002055_13.jpg", "1002055_14.jpg", "1002055_15.jpg" ]
a man fights with a lion on the beach
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002055.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 fights with a lion on the beach\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
4001951
[ "4001951_00.jpg", "4001951_01.jpg", "4001951_02.jpg", "4001951_03.jpg", "4001951_04.jpg", "4001951_05.jpg", "4001951_06.jpg", "4001951_07.jpg", "4001951_08.jpg", "4001951_09.jpg", "4001951_10.jpg", "4001951_11.jpg", "4001951_12.jpg", "4001951_13.jpg", "4001951_14.jpg", "4001951_15.jpg" ]
A beautiful woman is smoking an electronic cigarette and blowing out smoke rings
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001951.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 \"A beautiful woman is smoking an electronic cigarette and blowing out smoke rings\",\nall the frames of video are as 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" } ]
6002805
[ "6002805_00.jpg", "6002805_01.jpg", "6002805_02.jpg", "6002805_03.jpg", "6002805_04.jpg", "6002805_05.jpg", "6002805_06.jpg", "6002805_07.jpg", "6002805_08.jpg", "6002805_09.jpg", "6002805_10.jpg", "6002805_11.jpg", "6002805_12.jpg", "6002805_13.jpg", "6002805_14.jpg", "6002805_15.jpg" ]
A little girl cleaning Home Disney type 2d animation 8k Hd
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002805.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 little girl cleaning Home Disney type 2d animation 8k Hd\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7004120
[ "7004120_00.jpg", "7004120_01.jpg", "7004120_02.jpg", "7004120_03.jpg", "7004120_04.jpg", "7004120_05.jpg", "7004120_06.jpg", "7004120_07.jpg" ]
for 24 hours, every drug is legal in canada
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004120.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 \"for 24 hours, every drug is legal in canada\",\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: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1005106
[ "1005106_00.jpg", "1005106_01.jpg", "1005106_02.jpg", "1005106_03.jpg", "1005106_04.jpg", "1005106_05.jpg", "1005106_06.jpg", "1005106_07.jpg", "1005106_08.jpg", "1005106_09.jpg", "1005106_10.jpg", "1005106_11.jpg", "1005106_12.jpg", "1005106_13.jpg", "1005106_14.jpg", "1005106_15.jpg" ]
The longest day in the northern hemisphere
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005106.mp4
3
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The longest day in the northern hemisphere\",\nall the frames of video are as 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" } ]
1006512
[ "1006512_00.jpg", "1006512_01.jpg", "1006512_02.jpg", "1006512_03.jpg", "1006512_04.jpg", "1006512_05.jpg", "1006512_06.jpg", "1006512_07.jpg", "1006512_08.jpg", "1006512_09.jpg", "1006512_10.jpg", "1006512_11.jpg", "1006512_12.jpg", "1006512_13.jpg", "1006512_14.jpg", "1006512_15.jpg" ]
creat an image of sea animals inside sea, Gradient color, neon ligt
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006512.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 \"creat an image of sea animals inside sea, Gradient color, neon ligt\",\nall the frames of video are as 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" } ]
4001791
[ "4001791_00.jpg", "4001791_01.jpg", "4001791_02.jpg", "4001791_03.jpg", "4001791_04.jpg", "4001791_05.jpg", "4001791_06.jpg", "4001791_07.jpg", "4001791_08.jpg", "4001791_09.jpg", "4001791_10.jpg", "4001791_11.jpg", "4001791_12.jpg", "4001791_13.jpg", "4001791_14.jpg", "4001791_15.jpg" ]
Introduce Blackwater Bay, a serene coastal setting bathed in the soft glow of the setting sun. horror,fearful
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001791.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 \"Introduce Blackwater Bay, a serene coastal setting bathed in the soft glow of the setting sun. horror,fearful\",\nall the frames of video are as 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" } ]
6000413
[ "6000413_00.jpg", "6000413_01.jpg", "6000413_02.jpg", "6000413_03.jpg", "6000413_04.jpg", "6000413_05.jpg", "6000413_06.jpg", "6000413_07.jpg", "6000413_08.jpg", "6000413_09.jpg", "6000413_10.jpg", "6000413_11.jpg", "6000413_12.jpg", "6000413_13.jpg", "6000413_14.jpg", "6000413_15.jpg" ]
Make it real and realistic and cinematic and I want the lighting to be like the Lord of the Rings movies
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000413.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 \"Make it real and realistic and cinematic and I want the lighting to be like the Lord of the Rings 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: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7003849
[ "7003849_00.jpg", "7003849_01.jpg", "7003849_02.jpg", "7003849_03.jpg", "7003849_04.jpg", "7003849_05.jpg", "7003849_06.jpg", "7003849_07.jpg" ]
claymation of a grey alien performing a series of tests on grimpy cat
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003849.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 \"claymation of a grey alien performing a series of tests on grimpy cat\",\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" } ]
1000183
[ "1000183_00.jpg", "1000183_01.jpg", "1000183_02.jpg", "1000183_03.jpg", "1000183_04.jpg", "1000183_05.jpg", "1000183_06.jpg", "1000183_07.jpg", "1000183_08.jpg", "1000183_09.jpg", "1000183_10.jpg", "1000183_11.jpg", "1000183_12.jpg", "1000183_13.jpg", "1000183_14.jpg", "1000183_15.jpg" ]
organic machines pumping a heart in a jar
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000183.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 \"organic machines pumping a heart in a jar\",\nall the frames of video are as 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" } ]
0000126
[ "0000126_00.jpg", "0000126_01.jpg", "0000126_02.jpg", "0000126_03.jpg", "0000126_04.jpg", "0000126_05.jpg", "0000126_06.jpg", "0000126_07.jpg", "0000126_08.jpg", "0000126_09.jpg", "0000126_10.jpg", "0000126_11.jpg", "0000126_12.jpg", "0000126_13.jpg", "0000126_14.jpg", "0000126_15.jpg", "0000126_16.jpg", "0000126_17.jpg", "0000126_18.jpg", "0000126_19.jpg", "0000126_20.jpg", "0000126_21.jpg", "0000126_22.jpg", "0000126_23.jpg" ]
a woman wearing a green dress and a sun hat taking a pleasant stroll in Mumbai, India during a beautiful sunset.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000126.mp4
3
3
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a woman wearing a green dress and a sun hat taking a pleasant stroll in Mumbai, India during a beautiful sunset.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6001523
[ "6001523_00.jpg", "6001523_01.jpg", "6001523_02.jpg", "6001523_03.jpg", "6001523_04.jpg", "6001523_05.jpg", "6001523_06.jpg", "6001523_07.jpg", "6001523_08.jpg", "6001523_09.jpg", "6001523_10.jpg", "6001523_11.jpg", "6001523_12.jpg", "6001523_13.jpg", "6001523_14.jpg", "6001523_15.jpg" ]
Clip from the Neverending story where Bastian accidentally breaks wind in front of his dragon friend Falkor who becomes visibly upset
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001523.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 \"Clip from the Neverending story where Bastian accidentally breaks wind in front of his dragon friend Falkor who becomes visibly upset\",\nall the frames of video are as 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" } ]
8000826
[ "8000826_00.jpg", "8000826_01.jpg", "8000826_02.jpg", "8000826_03.jpg", "8000826_04.jpg", "8000826_05.jpg", "8000826_06.jpg", "8000826_07.jpg", "8000826_08.jpg", "8000826_09.jpg", "8000826_10.jpg", "8000826_11.jpg", "8000826_12.jpg", "8000826_13.jpg", "8000826_14.jpg", "8000826_15.jpg", "8000826_16.jpg", "8000826_17.jpg", "8000826_18.jpg", "8000826_19.jpg", "8000826_20.jpg", "8000826_21.jpg", "8000826_22.jpg", "8000826_23.jpg" ]
joe Biden lost on the way out of door and rapper Drake looking in disgust
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000826.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 \"joe Biden lost on the way out of door and rapper Drake looking in disgust\",\nall the 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" } ]
2003501
[ "2003501_00.jpg", "2003501_01.jpg", "2003501_02.jpg", "2003501_03.jpg", "2003501_04.jpg", "2003501_05.jpg", "2003501_06.jpg", "2003501_07.jpg", "2003501_08.jpg", "2003501_09.jpg", "2003501_10.jpg", "2003501_11.jpg", "2003501_12.jpg", "2003501_13.jpg", "2003501_14.jpg", "2003501_15.jpg" ]
a llama chewing a grenade in argentina 1978 4k cinematic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003501.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 llama chewing a grenade in argentina 1978 4k cinematic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
4003836
[ "4003836_00.jpg", "4003836_01.jpg", "4003836_02.jpg", "4003836_03.jpg", "4003836_04.jpg", "4003836_05.jpg", "4003836_06.jpg", "4003836_07.jpg", "4003836_08.jpg", "4003836_09.jpg", "4003836_10.jpg", "4003836_11.jpg", "4003836_12.jpg", "4003836_13.jpg", "4003836_14.jpg", "4003836_15.jpg" ]
lady in a supermarket pushing an empty cart
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003836.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 \"lady in a supermarket pushing an empty cart\",\nall the frames of video are as 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" } ]
4002184
[ "4002184_00.jpg", "4002184_01.jpg", "4002184_02.jpg", "4002184_03.jpg", "4002184_04.jpg", "4002184_05.jpg", "4002184_06.jpg", "4002184_07.jpg", "4002184_08.jpg", "4002184_09.jpg", "4002184_10.jpg", "4002184_11.jpg", "4002184_12.jpg", "4002184_13.jpg", "4002184_14.jpg", "4002184_15.jpg" ]
a construction of a building complex at dusk, its workers are leaving, film look, 4k
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002184.mp4
2
2
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a construction of a building complex at dusk, its workers are leaving, film look, 4k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
4003469
[ "4003469_00.jpg", "4003469_01.jpg", "4003469_02.jpg", "4003469_03.jpg", "4003469_04.jpg", "4003469_05.jpg", "4003469_06.jpg", "4003469_07.jpg", "4003469_08.jpg", "4003469_09.jpg", "4003469_10.jpg", "4003469_11.jpg", "4003469_12.jpg", "4003469_13.jpg", "4003469_14.jpg", "4003469_15.jpg" ]
A Young Male Model Posing For Photograph Wearing A Black well Tailored shirt with lilen febric, white Background, Shirt Close up shots
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003469.mp4
3
2
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A Young Male Model Posing For Photograph Wearing A Black well Tailored shirt with lilen febric, white Background, Shirt Close up shots\",\nall the frames of video are as 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" } ]
2004235
[ "2004235_00.jpg", "2004235_01.jpg", "2004235_02.jpg", "2004235_03.jpg", "2004235_04.jpg", "2004235_05.jpg", "2004235_06.jpg", "2004235_07.jpg", "2004235_08.jpg", "2004235_09.jpg", "2004235_10.jpg", "2004235_11.jpg", "2004235_12.jpg", "2004235_13.jpg", "2004235_14.jpg", "2004235_15.jpg" ]
carousel of unicorns with mythical colourful fishes swimming around
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004235.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 \"carousel of unicorns with mythical colourful fishes swimming around\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3000550
[ "3000550_00.jpg", "3000550_01.jpg", "3000550_02.jpg", "3000550_03.jpg", "3000550_04.jpg", "3000550_05.jpg", "3000550_06.jpg", "3000550_07.jpg", "3000550_08.jpg", "3000550_09.jpg", "3000550_10.jpg", "3000550_11.jpg", "3000550_12.jpg", "3000550_13.jpg", "3000550_14.jpg", "3000550_15.jpg" ]
a watercolor painting of a shiba inu dog howling at the moon, cinematic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000550.mp4
2
2
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a watercolor painting of a shiba inu dog howling at the moon, cinematic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
7000550
[ "7000550_00.jpg", "7000550_01.jpg", "7000550_02.jpg", "7000550_03.jpg", "7000550_04.jpg", "7000550_05.jpg", "7000550_06.jpg", "7000550_07.jpg" ]
Rain in the Woods, No moving the image, just movement in the raindrops, realistic, 8khd
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000550.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 \"Rain in the Woods, No moving the image, just movement in the raindrops, realistic, 8khd\",\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: 3\n" } ]
4000012
[ "4000012_00.jpg", "4000012_01.jpg", "4000012_02.jpg", "4000012_03.jpg", "4000012_04.jpg", "4000012_05.jpg", "4000012_06.jpg", "4000012_07.jpg", "4000012_08.jpg", "4000012_09.jpg", "4000012_10.jpg", "4000012_11.jpg", "4000012_12.jpg", "4000012_13.jpg", "4000012_14.jpg", "4000012_15.jpg" ]
dark clouds on a stormy night. rain and lightning
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000012.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 \"dark clouds on a stormy night. rain and lightning\",\nall the frames of video are as 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" } ]
8002337
[ "8002337_00.jpg", "8002337_01.jpg", "8002337_02.jpg", "8002337_03.jpg", "8002337_04.jpg", "8002337_05.jpg", "8002337_06.jpg", "8002337_07.jpg", "8002337_08.jpg", "8002337_09.jpg", "8002337_10.jpg", "8002337_11.jpg", "8002337_12.jpg", "8002337_13.jpg", "8002337_14.jpg", "8002337_15.jpg", "8002337_16.jpg", "8002337_17.jpg", "8002337_18.jpg", "8002337_19.jpg", "8002337_20.jpg", "8002337_21.jpg", "8002337_22.jpg", "8002337_23.jpg" ]
shah of iran in vampire clothing
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002337.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 \"shah of iran in vampire clothing\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0001293
[ "0001293_00.jpg", "0001293_01.jpg", "0001293_02.jpg", "0001293_03.jpg", "0001293_04.jpg", "0001293_05.jpg", "0001293_06.jpg", "0001293_07.jpg", "0001293_08.jpg", "0001293_09.jpg", "0001293_10.jpg", "0001293_11.jpg", "0001293_12.jpg", "0001293_13.jpg", "0001293_14.jpg", "0001293_15.jpg", "0001293_16.jpg", "0001293_17.jpg", "0001293_18.jpg", "0001293_19.jpg", "0001293_20.jpg", "0001293_21.jpg", "0001293_22.jpg", "0001293_23.jpg" ]
a girl and a boy of 14 years old in medieval clothes fall into a dark crevice, it’s dark around
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001293.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 girl and a boy of 14 years old in medieval clothes fall into a dark crevice, it’s dark around\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
0002005
[ "0002005_00.jpg", "0002005_01.jpg", "0002005_02.jpg", "0002005_03.jpg", "0002005_04.jpg", "0002005_05.jpg", "0002005_06.jpg", "0002005_07.jpg", "0002005_08.jpg", "0002005_09.jpg", "0002005_10.jpg", "0002005_11.jpg", "0002005_12.jpg", "0002005_13.jpg", "0002005_14.jpg", "0002005_15.jpg", "0002005_16.jpg", "0002005_17.jpg", "0002005_18.jpg", "0002005_19.jpg", "0002005_20.jpg", "0002005_21.jpg", "0002005_22.jpg", "0002005_23.jpg" ]
an interstellar horror, thriller and suspense alien mech hunting and eliminate humanity across the Apocalypse Worlds part 8 of 10
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002005.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 \"an interstellar horror, thriller and suspense alien mech hunting and eliminate humanity across the Apocalypse Worlds part 8 of 10\",\nall the 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: 3\n" } ]
7000172
[ "7000172_00.jpg", "7000172_01.jpg", "7000172_02.jpg", "7000172_03.jpg", "7000172_04.jpg", "7000172_05.jpg", "7000172_06.jpg", "7000172_07.jpg" ]
A stick figure takes a picture of people riding a locomotive from outside Camera angle movement 16:9
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000172.mp4
2
2
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A stick figure takes a picture of people riding a locomotive from outside Camera angle movement 16:9\",\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" } ]
6001281
[ "6001281_00.jpg", "6001281_01.jpg", "6001281_02.jpg", "6001281_03.jpg", "6001281_04.jpg", "6001281_05.jpg", "6001281_06.jpg", "6001281_07.jpg", "6001281_08.jpg", "6001281_09.jpg", "6001281_10.jpg", "6001281_11.jpg", "6001281_12.jpg", "6001281_13.jpg", "6001281_14.jpg", "6001281_15.jpg" ]
a cyberpunk car speeding through thr city, animated
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001281.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 cyberpunk car speeding through thr city, animated\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
4003966
[ "4003966_00.jpg", "4003966_01.jpg", "4003966_02.jpg", "4003966_03.jpg", "4003966_04.jpg", "4003966_05.jpg", "4003966_06.jpg", "4003966_07.jpg", "4003966_08.jpg", "4003966_09.jpg", "4003966_10.jpg", "4003966_11.jpg", "4003966_12.jpg", "4003966_13.jpg", "4003966_14.jpg", "4003966_15.jpg" ]
One day, when Maya was hunting,
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003966.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 \"One day, when Maya was hunting,\",\nall the frames of video are as 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" } ]
8003932
[ "8003932_00.jpg", "8003932_01.jpg", "8003932_02.jpg", "8003932_03.jpg", "8003932_04.jpg", "8003932_05.jpg", "8003932_06.jpg", "8003932_07.jpg", "8003932_08.jpg", "8003932_09.jpg", "8003932_10.jpg", "8003932_11.jpg", "8003932_12.jpg", "8003932_13.jpg", "8003932_14.jpg", "8003932_15.jpg", "8003932_16.jpg", "8003932_17.jpg", "8003932_18.jpg", "8003932_19.jpg", "8003932_20.jpg", "8003932_21.jpg", "8003932_22.jpg", "8003932_23.jpg" ]
Rotating shoes. Burning fire. A very beautiful advertisement for a sneaker. Dynamic. Puma
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003932.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 \"Rotating shoes. Burning fire. A very beautiful advertisement for a sneaker. Dynamic. Puma\",\nall the 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" } ]
0006836
[ "0006836_00.jpg", "0006836_01.jpg", "0006836_02.jpg", "0006836_03.jpg", "0006836_04.jpg", "0006836_05.jpg", "0006836_06.jpg", "0006836_07.jpg", "0006836_08.jpg", "0006836_09.jpg", "0006836_10.jpg", "0006836_11.jpg", "0006836_12.jpg", "0006836_13.jpg", "0006836_14.jpg", "0006836_15.jpg", "0006836_16.jpg", "0006836_17.jpg", "0006836_18.jpg", "0006836_19.jpg", "0006836_20.jpg", "0006836_21.jpg", "0006836_22.jpg", "0006836_23.jpg" ]
Aerial shots capturing the scenic beauty of the village.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006836.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 \"Aerial shots capturing the scenic beauty of the village.\",\nall the 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" } ]
4001043
[ "4001043_00.jpg", "4001043_01.jpg", "4001043_02.jpg", "4001043_03.jpg", "4001043_04.jpg", "4001043_05.jpg", "4001043_06.jpg", "4001043_07.jpg", "4001043_08.jpg", "4001043_09.jpg", "4001043_10.jpg", "4001043_11.jpg", "4001043_12.jpg", "4001043_13.jpg", "4001043_14.jpg", "4001043_15.jpg" ]
a ufo being chased by 3 airforce fighting jets
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001043.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 ufo being chased by 3 airforce fighting jets\",\nall the frames of video are as 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" } ]
2003452
[ "2003452_00.jpg", "2003452_01.jpg", "2003452_02.jpg", "2003452_03.jpg", "2003452_04.jpg", "2003452_05.jpg", "2003452_06.jpg", "2003452_07.jpg", "2003452_08.jpg", "2003452_09.jpg", "2003452_10.jpg", "2003452_11.jpg", "2003452_12.jpg", "2003452_13.jpg", "2003452_14.jpg", "2003452_15.jpg" ]
a white bunny and a yellow bunny swim in a river.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003452.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 \"a white bunny and a yellow bunny swim in a river.\",\nall the frames of video are as 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" } ]
5001877
[ "5001877_00.jpg", "5001877_01.jpg", "5001877_02.jpg", "5001877_03.jpg", "5001877_04.jpg", "5001877_05.jpg", "5001877_06.jpg", "5001877_07.jpg", "5001877_08.jpg", "5001877_09.jpg", "5001877_10.jpg", "5001877_11.jpg", "5001877_12.jpg", "5001877_13.jpg", "5001877_14.jpg", "5001877_15.jpg" ]
Oaxaca and update the same number as well and can you send me his picture please well
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001877.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 \"Oaxaca and update the same number as well and can you send me his picture please well\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
0002204
[ "0002204_00.jpg", "0002204_01.jpg", "0002204_02.jpg", "0002204_03.jpg", "0002204_04.jpg", "0002204_05.jpg", "0002204_06.jpg", "0002204_07.jpg", "0002204_08.jpg", "0002204_09.jpg", "0002204_10.jpg", "0002204_11.jpg", "0002204_12.jpg", "0002204_13.jpg", "0002204_14.jpg", "0002204_15.jpg", "0002204_16.jpg", "0002204_17.jpg", "0002204_18.jpg", "0002204_19.jpg", "0002204_20.jpg", "0002204_21.jpg", "0002204_22.jpg", "0002204_23.jpg" ]
a 1983 film scene of a metallic futuristic battle tank moving forward on a flat parade ground made of black dark glass
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002204.mp4
2
3
1
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a 1983 film scene of a metallic futuristic battle tank moving forward on a flat parade ground made of black dark glass\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
0002722
[ "0002722_00.jpg", "0002722_01.jpg", "0002722_02.jpg", "0002722_03.jpg", "0002722_04.jpg", "0002722_05.jpg", "0002722_06.jpg", "0002722_07.jpg", "0002722_08.jpg", "0002722_09.jpg", "0002722_10.jpg", "0002722_11.jpg", "0002722_12.jpg", "0002722_13.jpg", "0002722_14.jpg", "0002722_15.jpg", "0002722_16.jpg", "0002722_17.jpg", "0002722_18.jpg", "0002722_19.jpg", "0002722_20.jpg", "0002722_21.jpg", "0002722_22.jpg", "0002722_23.jpg" ]
70’s style footage of a mermaid swimming in a luxurious pool, motion
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002722.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 \"70’s style footage of a mermaid swimming in a luxurious pool, 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> <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" } ]
3002076
[ "3002076_00.jpg", "3002076_01.jpg", "3002076_02.jpg", "3002076_03.jpg", "3002076_04.jpg", "3002076_05.jpg", "3002076_06.jpg", "3002076_07.jpg", "3002076_08.jpg", "3002076_09.jpg", "3002076_10.jpg", "3002076_11.jpg", "3002076_12.jpg", "3002076_13.jpg", "3002076_14.jpg", "3002076_15.jpg" ]
Ayodhya and its historical significance as the birthplace of Lord Rama. This video prompt will take you on a journey through the sacred grounds of Shri Ram Janmabhoomi, where a magnificent temple dedicated to Lord Rama stands. near a river where people are boating.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002076.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 \"Ayodhya and its historical significance as the birthplace of Lord Rama. This video prompt will take you on a journey through the sacred grounds of Shri Ram Janmabhoomi, where a magnificent temple dedicated to Lord Rama stands. near a river where people are boating.\",\nall the frames of video are as 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" } ]
4001929
[ "4001929_00.jpg", "4001929_01.jpg", "4001929_02.jpg", "4001929_03.jpg", "4001929_04.jpg", "4001929_05.jpg", "4001929_06.jpg", "4001929_07.jpg", "4001929_08.jpg", "4001929_09.jpg", "4001929_10.jpg", "4001929_11.jpg", "4001929_12.jpg", "4001929_13.jpg", "4001929_14.jpg", "4001929_15.jpg" ]
animated guitarist in fairy forrest playing
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001929.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 \"animated guitarist in fairy forrest playing\",\nall the frames of video are as 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" } ]
6001128
[ "6001128_00.jpg", "6001128_01.jpg", "6001128_02.jpg", "6001128_03.jpg", "6001128_04.jpg", "6001128_05.jpg", "6001128_06.jpg", "6001128_07.jpg", "6001128_08.jpg", "6001128_09.jpg", "6001128_10.jpg", "6001128_11.jpg", "6001128_12.jpg", "6001128_13.jpg", "6001128_14.jpg", "6001128_15.jpg" ]
A serene kitchen setting with natural light streaming in. A woman flipping an astragalus in the palm of her hand
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001128.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 serene kitchen setting with natural light streaming in. A woman flipping an astragalus in the palm of her hand\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0005511
[ "0005511_00.jpg", "0005511_01.jpg", "0005511_02.jpg", "0005511_03.jpg", "0005511_04.jpg", "0005511_05.jpg", "0005511_06.jpg", "0005511_07.jpg", "0005511_08.jpg", "0005511_09.jpg", "0005511_10.jpg", "0005511_11.jpg", "0005511_12.jpg", "0005511_13.jpg", "0005511_14.jpg", "0005511_15.jpg", "0005511_16.jpg", "0005511_17.jpg", "0005511_18.jpg", "0005511_19.jpg", "0005511_20.jpg", "0005511_21.jpg", "0005511_22.jpg", "0005511_23.jpg" ]
skis
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005511.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 \"skis\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6003648
[ "6003648_00.jpg", "6003648_01.jpg", "6003648_02.jpg", "6003648_03.jpg", "6003648_04.jpg", "6003648_05.jpg", "6003648_06.jpg", "6003648_07.jpg", "6003648_08.jpg", "6003648_09.jpg", "6003648_10.jpg", "6003648_11.jpg", "6003648_12.jpg", "6003648_13.jpg", "6003648_14.jpg", "6003648_15.jpg" ]
two super saiyan fighting in the sky
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003648.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 \"two super saiyan fighting in the sky\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
3000609
[ "3000609_00.jpg", "3000609_01.jpg", "3000609_02.jpg", "3000609_03.jpg", "3000609_04.jpg", "3000609_05.jpg", "3000609_06.jpg", "3000609_07.jpg", "3000609_08.jpg", "3000609_09.jpg", "3000609_10.jpg", "3000609_11.jpg", "3000609_12.jpg", "3000609_13.jpg", "3000609_14.jpg", "3000609_15.jpg" ]
a 3D animated robot lion designing a pencil in black room, with orange sunrays. black background
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000609.mp4
2
1
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a 3D animated robot lion designing a pencil in black room, with orange sunrays. black background\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1001512
[ "1001512_00.jpg", "1001512_01.jpg", "1001512_02.jpg", "1001512_03.jpg", "1001512_04.jpg", "1001512_05.jpg", "1001512_06.jpg", "1001512_07.jpg", "1001512_08.jpg", "1001512_09.jpg", "1001512_10.jpg", "1001512_11.jpg", "1001512_12.jpg", "1001512_13.jpg", "1001512_14.jpg", "1001512_15.jpg" ]
army of woods and stones creature
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001512.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 \"army of woods and stones creature\",\nall the frames of video are as 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" } ]
s000686
[ "s000686_00.jpg", "s000686_01.jpg", "s000686_02.jpg", "s000686_03.jpg", "s000686_04.jpg", "s000686_05.jpg", "s000686_06.jpg", "s000686_07.jpg", "s000686_08.jpg", "s000686_09.jpg", "s000686_10.jpg", "s000686_11.jpg", "s000686_12.jpg", "s000686_13.jpg", "s000686_14.jpg", "s000686_15.jpg", "s000686_16.jpg", "s000686_17.jpg", "s000686_18.jpg", "s000686_19.jpg" ]
A young Chinese man was kneeling on the ground, and his parents went to help him up
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000686.mp4
4
4
4
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A young Chinese man was kneeling on the ground, and his parents went to help him up\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
0004805
[ "0004805_00.jpg", "0004805_01.jpg", "0004805_02.jpg", "0004805_03.jpg", "0004805_04.jpg", "0004805_05.jpg", "0004805_06.jpg", "0004805_07.jpg", "0004805_08.jpg", "0004805_09.jpg", "0004805_10.jpg", "0004805_11.jpg", "0004805_12.jpg", "0004805_13.jpg", "0004805_14.jpg", "0004805_15.jpg", "0004805_16.jpg", "0004805_17.jpg", "0004805_18.jpg", "0004805_19.jpg", "0004805_20.jpg", "0004805_21.jpg", "0004805_22.jpg", "0004805_23.jpg" ]
A girl walks on the surface of a lake in the moonlight at night among trees and forests
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004805.mp4
3
3
2
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A girl walks on the surface of a lake in the moonlight at night among trees and forests\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6002059
[ "6002059_00.jpg", "6002059_01.jpg", "6002059_02.jpg", "6002059_03.jpg", "6002059_04.jpg", "6002059_05.jpg", "6002059_06.jpg", "6002059_07.jpg", "6002059_08.jpg", "6002059_09.jpg", "6002059_10.jpg", "6002059_11.jpg", "6002059_12.jpg", "6002059_13.jpg", "6002059_14.jpg", "6002059_15.jpg" ]
30 year old Asian hunter who is wearing clothes from early 600s BC in scorching hot weather in desert by himself who is very weak, has food with delicious and healthy meal and fruits of all kinds and water
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002059.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 \"30 year old Asian hunter who is wearing clothes from early 600s BC in scorching hot weather in desert by himself who is very weak, has food with delicious and healthy meal and fruits of all kinds and water\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6001342
[ "6001342_00.jpg", "6001342_01.jpg", "6001342_02.jpg", "6001342_03.jpg", "6001342_04.jpg", "6001342_05.jpg", "6001342_06.jpg", "6001342_07.jpg", "6001342_08.jpg", "6001342_09.jpg", "6001342_10.jpg", "6001342_11.jpg", "6001342_12.jpg", "6001342_13.jpg", "6001342_14.jpg", "6001342_15.jpg" ]
a scene with a padlock around a personal computer
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001342.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 scene with a padlock around a personal computer\",\nall the frames of video are as 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" } ]
3001653
[ "3001653_00.jpg", "3001653_01.jpg", "3001653_02.jpg", "3001653_03.jpg", "3001653_04.jpg", "3001653_05.jpg", "3001653_06.jpg", "3001653_07.jpg", "3001653_08.jpg", "3001653_09.jpg", "3001653_10.jpg", "3001653_11.jpg", "3001653_12.jpg", "3001653_13.jpg", "3001653_14.jpg", "3001653_15.jpg" ]
Around the end of the 18th century, a group of boys and girls around the age of 10 study by writing on paper with quills in a classroom at an elementary school in Warsaw. Late 18th century, sunset, photorealistic, cinematic, epic, hyperrealistic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001653.mp4
1
3
1
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 \"Around the end of the 18th century, a group of boys and girls around the age of 10 study by writing on paper with quills in a classroom at an elementary school in Warsaw. Late 18th century, sunset, photorealistic, cinematic, epic, hyperrealistic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
2002587
[ "2002587_00.jpg", "2002587_01.jpg", "2002587_02.jpg", "2002587_03.jpg", "2002587_04.jpg", "2002587_05.jpg", "2002587_06.jpg", "2002587_07.jpg", "2002587_08.jpg", "2002587_09.jpg", "2002587_10.jpg", "2002587_11.jpg", "2002587_12.jpg", "2002587_13.jpg", "2002587_14.jpg", "2002587_15.jpg" ]
Generate a video of good friends dancing and drinking in a nightclub, everyone is very happy
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002587.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 \"Generate a video of good friends dancing and drinking in a nightclub, everyone is very happy\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
7001643
[ "7001643_00.jpg", "7001643_01.jpg", "7001643_02.jpg", "7001643_03.jpg", "7001643_04.jpg", "7001643_05.jpg", "7001643_06.jpg", "7001643_07.jpg" ]
small girl walks in the rain
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001643.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 \"small girl walks in the rain\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6000215
[ "6000215_00.jpg", "6000215_01.jpg", "6000215_02.jpg", "6000215_03.jpg", "6000215_04.jpg", "6000215_05.jpg", "6000215_06.jpg", "6000215_07.jpg", "6000215_08.jpg", "6000215_09.jpg", "6000215_10.jpg", "6000215_11.jpg", "6000215_12.jpg", "6000215_13.jpg", "6000215_14.jpg", "6000215_15.jpg" ]
a 5 seconds Disney style mesmerizing forest with a path in the middle. An elephant is walking in the background. And in the foreground there is a lark bird building it’s nest in a hole in the path. Ar 9:16.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000215.mp4
2
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a 5 seconds Disney style mesmerizing forest with a path in the middle. An elephant is walking in the background. And in the foreground there is a lark bird building it’s nest in a hole in the path. Ar 9:16.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3002481
[ "3002481_00.jpg", "3002481_01.jpg", "3002481_02.jpg", "3002481_03.jpg", "3002481_04.jpg", "3002481_05.jpg", "3002481_06.jpg", "3002481_07.jpg", "3002481_08.jpg", "3002481_09.jpg", "3002481_10.jpg", "3002481_11.jpg", "3002481_12.jpg", "3002481_13.jpg", "3002481_14.jpg", "3002481_15.jpg" ]
energetic engineer solving computer problems in the midnight, high quality high resolution
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002481.mp4
2
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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 \"energetic engineer solving computer problems in the midnight, high quality high resolution\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
7001484
[ "7001484_00.jpg", "7001484_01.jpg", "7001484_02.jpg", "7001484_03.jpg", "7001484_04.jpg", "7001484_05.jpg", "7001484_06.jpg", "7001484_07.jpg" ]
interior bedroom with many windows, rain falling outside, with a night city vibe
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001484.mp4
3
1
1
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 \"interior bedroom with many windows, rain falling outside, with a night city vibe\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
2001193
[ "2001193_00.jpg", "2001193_01.jpg", "2001193_02.jpg", "2001193_03.jpg", "2001193_04.jpg", "2001193_05.jpg", "2001193_06.jpg", "2001193_07.jpg", "2001193_08.jpg", "2001193_09.jpg", "2001193_10.jpg", "2001193_11.jpg", "2001193_12.jpg", "2001193_13.jpg", "2001193_14.jpg", "2001193_15.jpg" ]
chewbacca is at a rave which is lit by blacklight and neon paint. Chewbacca is dancing fast.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001193.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 \"chewbacca is at a rave which is lit by blacklight and neon paint. Chewbacca is dancing fast.\",\nall the frames of video are as 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" } ]
5001772
[ "5001772_00.jpg", "5001772_01.jpg", "5001772_02.jpg", "5001772_03.jpg", "5001772_04.jpg", "5001772_05.jpg", "5001772_06.jpg", "5001772_07.jpg", "5001772_08.jpg", "5001772_09.jpg", "5001772_10.jpg", "5001772_11.jpg", "5001772_12.jpg", "5001772_13.jpg", "5001772_14.jpg", "5001772_15.jpg" ]
A worker in Kerala jumps from a tree while trying to bite a snake
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001772.mp4
2
3
2
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A worker in Kerala jumps from a tree while trying to bite a snake\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2001988
[ "2001988_00.jpg", "2001988_01.jpg", "2001988_02.jpg", "2001988_03.jpg", "2001988_04.jpg", "2001988_05.jpg", "2001988_06.jpg", "2001988_07.jpg", "2001988_08.jpg", "2001988_09.jpg", "2001988_10.jpg", "2001988_11.jpg", "2001988_12.jpg", "2001988_13.jpg", "2001988_14.jpg", "2001988_15.jpg" ]
A live action Princess Tiana with a green dress, a tiara, and a frog on her shoulder
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001988.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 live action Princess Tiana with a green dress, a tiara, and a frog on her shoulder\",\nall the frames of video are as 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" } ]
0000091
[ "0000091_00.jpg", "0000091_01.jpg", "0000091_02.jpg", "0000091_03.jpg", "0000091_04.jpg", "0000091_05.jpg", "0000091_06.jpg", "0000091_07.jpg", "0000091_08.jpg", "0000091_09.jpg", "0000091_10.jpg", "0000091_11.jpg", "0000091_12.jpg", "0000091_13.jpg", "0000091_14.jpg", "0000091_15.jpg", "0000091_16.jpg", "0000091_17.jpg", "0000091_18.jpg", "0000091_19.jpg", "0000091_20.jpg", "0000091_21.jpg", "0000091_22.jpg", "0000091_23.jpg" ]
A beautiful lady that is facing the camera with her back. In the background there is a sunny park with trees, a beautiful location in the nature.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000091.mp4
3
2
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A beautiful lady that is facing the camera with her back. In the background there is a sunny park with trees, a beautiful location in the nature.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
s000724
[ "s000724_00.jpg", "s000724_01.jpg", "s000724_02.jpg", "s000724_03.jpg", "s000724_04.jpg", "s000724_05.jpg", "s000724_06.jpg", "s000724_07.jpg", "s000724_08.jpg", "s000724_09.jpg", "s000724_10.jpg", "s000724_11.jpg", "s000724_12.jpg", "s000724_13.jpg", "s000724_14.jpg", "s000724_15.jpg", "s000724_16.jpg", "s000724_17.jpg", "s000724_18.jpg", "s000724_19.jpg" ]
Splash of turquoise water in extreme slow motion, alpha channel included
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000724.mp4
4
4
4
0
4
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Splash of turquoise water in extreme slow motion, alpha channel included\",\nall the 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" } ]
6001652
[ "6001652_00.jpg", "6001652_01.jpg", "6001652_02.jpg", "6001652_03.jpg", "6001652_04.jpg", "6001652_05.jpg", "6001652_06.jpg", "6001652_07.jpg", "6001652_08.jpg", "6001652_09.jpg", "6001652_10.jpg", "6001652_11.jpg", "6001652_12.jpg", "6001652_13.jpg", "6001652_14.jpg", "6001652_15.jpg" ]
Animate the characters with the tender strokes of emotion, breathing life into their expressions. Every pixel should echo the emotions of a heartwarming melody, as if the very soul of your creation is harmonizing with the symphony of human connection.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001652.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 \"Animate the characters with the tender strokes of emotion, breathing life into their expressions. Every pixel should echo the emotions of a heartwarming melody, as if the very soul of your creation is harmonizing with the symphony of human connection.\",\nall the frames of video are as 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" } ]
0002813
[ "0002813_00.jpg", "0002813_01.jpg", "0002813_02.jpg", "0002813_03.jpg", "0002813_04.jpg", "0002813_05.jpg", "0002813_06.jpg", "0002813_07.jpg", "0002813_08.jpg", "0002813_09.jpg", "0002813_10.jpg", "0002813_11.jpg", "0002813_12.jpg", "0002813_13.jpg", "0002813_14.jpg", "0002813_15.jpg", "0002813_16.jpg", "0002813_17.jpg", "0002813_18.jpg", "0002813_19.jpg", "0002813_20.jpg", "0002813_21.jpg", "0002813_22.jpg", "0002813_23.jpg" ]
three peoples with some items in a shopping cart are standing infront of the billing counter . one of them has a football of them .
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002813.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 \"three peoples with some items in a shopping cart are standing infront of the billing counter . one of them has a football of them .\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
1006907
[ "1006907_00.jpg", "1006907_01.jpg", "1006907_02.jpg", "1006907_03.jpg", "1006907_04.jpg", "1006907_05.jpg", "1006907_06.jpg", "1006907_07.jpg", "1006907_08.jpg", "1006907_09.jpg", "1006907_10.jpg", "1006907_11.jpg", "1006907_12.jpg", "1006907_13.jpg", "1006907_14.jpg", "1006907_15.jpg" ]
Ayurveda on a tropical island Message: P (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006907.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 \"Ayurveda on a tropical island Message: P (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
6000729
[ "6000729_00.jpg", "6000729_01.jpg", "6000729_02.jpg", "6000729_03.jpg", "6000729_04.jpg", "6000729_05.jpg", "6000729_06.jpg", "6000729_07.jpg", "6000729_08.jpg", "6000729_09.jpg", "6000729_10.jpg", "6000729_11.jpg", "6000729_12.jpg", "6000729_13.jpg", "6000729_14.jpg", "6000729_15.jpg" ]
a boy a driving a futuristic car
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000729.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 boy a driving a futuristic 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: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0005366
[ "0005366_00.jpg", "0005366_01.jpg", "0005366_02.jpg", "0005366_03.jpg", "0005366_04.jpg", "0005366_05.jpg", "0005366_06.jpg", "0005366_07.jpg", "0005366_08.jpg", "0005366_09.jpg", "0005366_10.jpg", "0005366_11.jpg", "0005366_12.jpg", "0005366_13.jpg", "0005366_14.jpg", "0005366_15.jpg", "0005366_16.jpg", "0005366_17.jpg", "0005366_18.jpg", "0005366_19.jpg", "0005366_20.jpg", "0005366_21.jpg", "0005366_22.jpg", "0005366_23.jpg" ]
Create a giant crocodile, fighting with a giant octopus under the sea with many divers watching
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005366.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 \"Create a giant crocodile, fighting with a giant octopus under the sea with many divers watching\",\nall the 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: 3\n" } ]
3000939
[ "3000939_00.jpg", "3000939_01.jpg", "3000939_02.jpg", "3000939_03.jpg", "3000939_04.jpg", "3000939_05.jpg", "3000939_06.jpg", "3000939_07.jpg", "3000939_08.jpg", "3000939_09.jpg", "3000939_10.jpg", "3000939_11.jpg", "3000939_12.jpg", "3000939_13.jpg", "3000939_14.jpg", "3000939_15.jpg" ]
world war, 20 movies, scary Ghost, blood
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000939.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 \"world war, 20 movies, scary Ghost, blood\",\nall the frames of video are as 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" } ]
5000649
[ "5000649_00.jpg", "5000649_01.jpg", "5000649_02.jpg", "5000649_03.jpg", "5000649_04.jpg", "5000649_05.jpg", "5000649_06.jpg", "5000649_07.jpg", "5000649_08.jpg", "5000649_09.jpg", "5000649_10.jpg", "5000649_11.jpg", "5000649_12.jpg", "5000649_13.jpg", "5000649_14.jpg", "5000649_15.jpg" ]
an image where a dog sits under a christmas tree
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000649.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 \"an image where a dog sits under a christmas tree\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
8003537
[ "8003537_00.jpg", "8003537_01.jpg", "8003537_02.jpg", "8003537_03.jpg", "8003537_04.jpg", "8003537_05.jpg", "8003537_06.jpg", "8003537_07.jpg", "8003537_08.jpg", "8003537_09.jpg", "8003537_10.jpg", "8003537_11.jpg", "8003537_12.jpg", "8003537_13.jpg", "8003537_14.jpg", "8003537_15.jpg", "8003537_16.jpg", "8003537_17.jpg", "8003537_18.jpg", "8003537_19.jpg", "8003537_20.jpg", "8003537_21.jpg", "8003537_22.jpg", "8003537_23.jpg" ]
young 23 years hammering steel movie cinema
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003537.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 \"young 23 years hammering steel movie cinema\",\nall the 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" } ]
2006475
[ "2006475_00.jpg", "2006475_01.jpg", "2006475_02.jpg", "2006475_03.jpg", "2006475_04.jpg", "2006475_05.jpg", "2006475_06.jpg", "2006475_07.jpg", "2006475_08.jpg", "2006475_09.jpg", "2006475_10.jpg", "2006475_11.jpg", "2006475_12.jpg", "2006475_13.jpg", "2006475_14.jpg", "2006475_15.jpg" ]
cartoon version of chameleon in space suit
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006475.mp4
2
3
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"cartoon version of chameleon in space suit\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2004039
[ "2004039_00.jpg", "2004039_01.jpg", "2004039_02.jpg", "2004039_03.jpg", "2004039_04.jpg", "2004039_05.jpg", "2004039_06.jpg", "2004039_07.jpg", "2004039_08.jpg", "2004039_09.jpg", "2004039_10.jpg", "2004039_11.jpg", "2004039_12.jpg", "2004039_13.jpg", "2004039_14.jpg", "2004039_15.jpg" ]
Zinbad walking through mid evil dungeon
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004039.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 \"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: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
1002581
[ "1002581_00.jpg", "1002581_01.jpg", "1002581_02.jpg", "1002581_03.jpg", "1002581_04.jpg", "1002581_05.jpg", "1002581_06.jpg", "1002581_07.jpg", "1002581_08.jpg", "1002581_09.jpg", "1002581_10.jpg", "1002581_11.jpg", "1002581_12.jpg", "1002581_13.jpg", "1002581_14.jpg", "1002581_15.jpg" ]
forest, rain, early morning Message: AKIPRESS (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002581.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 \"forest, rain, early morning Message: AKIPRESS (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0002658
[ "0002658_00.jpg", "0002658_01.jpg", "0002658_02.jpg", "0002658_03.jpg", "0002658_04.jpg", "0002658_05.jpg", "0002658_06.jpg", "0002658_07.jpg", "0002658_08.jpg", "0002658_09.jpg", "0002658_10.jpg", "0002658_11.jpg", "0002658_12.jpg", "0002658_13.jpg", "0002658_14.jpg", "0002658_15.jpg", "0002658_16.jpg", "0002658_17.jpg", "0002658_18.jpg", "0002658_19.jpg", "0002658_20.jpg", "0002658_21.jpg", "0002658_22.jpg", "0002658_23.jpg" ]
Man wakes up in hospital bed
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002658.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 \"Man wakes up in hospital bed\",\nall the 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" } ]
2002095
[ "2002095_00.jpg", "2002095_01.jpg", "2002095_02.jpg", "2002095_03.jpg", "2002095_04.jpg", "2002095_05.jpg", "2002095_06.jpg", "2002095_07.jpg", "2002095_08.jpg", "2002095_09.jpg", "2002095_10.jpg", "2002095_11.jpg", "2002095_12.jpg", "2002095_13.jpg", "2002095_14.jpg", "2002095_15.jpg" ]
anime of my friend by studio ghibli,ultra detailed
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002095.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 \"anime of my friend by studio ghibli,ultra detailed\",\nall the frames of video are as 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" } ]
7002215
[ "7002215_00.jpg", "7002215_01.jpg", "7002215_02.jpg", "7002215_03.jpg", "7002215_04.jpg", "7002215_05.jpg", "7002215_06.jpg", "7002215_07.jpg" ]
A large round pizza with toppings of melted cheese, pepperoni, and grilled zucchini slices.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002215.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 large round pizza with toppings of melted cheese, pepperoni, and grilled zucchini slices.\",\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" } ]
7000278
[ "7000278_00.jpg", "7000278_01.jpg", "7000278_02.jpg", "7000278_03.jpg", "7000278_04.jpg", "7000278_05.jpg", "7000278_06.jpg", "7000278_07.jpg" ]
The party traverses a narrow stone ledge overlooking a river of magma deep underground. Without warning, the ledge shudders as a deafening roar echoes from the tunnels ahead.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000278.mp4
2
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The party traverses a narrow stone ledge overlooking a river of magma deep underground. Without warning, the ledge shudders as a deafening roar echoes from the tunnels ahead.\",\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: 1\n" } ]
2000807
[ "2000807_00.jpg", "2000807_01.jpg", "2000807_02.jpg", "2000807_03.jpg", "2000807_04.jpg", "2000807_05.jpg", "2000807_06.jpg", "2000807_07.jpg", "2000807_08.jpg", "2000807_09.jpg", "2000807_10.jpg", "2000807_11.jpg", "2000807_12.jpg", "2000807_13.jpg", "2000807_14.jpg", "2000807_15.jpg" ]
street race and spectators held in tokyo one night
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000807.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 \"street race and spectators held in tokyo one 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: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
6001743
[ "6001743_00.jpg", "6001743_01.jpg", "6001743_02.jpg", "6001743_03.jpg", "6001743_04.jpg", "6001743_05.jpg", "6001743_06.jpg", "6001743_07.jpg", "6001743_08.jpg", "6001743_09.jpg", "6001743_10.jpg", "6001743_11.jpg", "6001743_12.jpg", "6001743_13.jpg", "6001743_14.jpg", "6001743_15.jpg" ]
Albert Einstein sits at his cluttered desk, flipping through patent applications.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001743.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 \"Albert Einstein sits at his cluttered desk, flipping through patent applications.\",\nall the frames of video are as 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" } ]
9000266
[ "9000266_00.jpg", "9000266_01.jpg", "9000266_02.jpg", "9000266_03.jpg", "9000266_04.jpg", "9000266_05.jpg", "9000266_06.jpg", "9000266_07.jpg", "9000266_08.jpg", "9000266_09.jpg", "9000266_10.jpg", "9000266_11.jpg", "9000266_12.jpg", "9000266_13.jpg", "9000266_14.jpg", "9000266_15.jpg", "9000266_16.jpg", "9000266_17.jpg", "9000266_18.jpg", "9000266_19.jpg", "9000266_20.jpg", "9000266_21.jpg", "9000266_22.jpg", "9000266_23.jpg" ]
inside a lab, inside a bottle Message: BYRON (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000266.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"inside a lab, inside a bottle Message: BYRON (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
2000787
[ "2000787_00.jpg", "2000787_01.jpg", "2000787_02.jpg", "2000787_03.jpg", "2000787_04.jpg", "2000787_05.jpg", "2000787_06.jpg", "2000787_07.jpg", "2000787_08.jpg", "2000787_09.jpg", "2000787_10.jpg", "2000787_11.jpg", "2000787_12.jpg", "2000787_13.jpg", "2000787_14.jpg", "2000787_15.jpg" ]
Cute small humanoid baby lion sitting in a movie theater eating popcorn watching a movie, unreal engine, volumetric, warm indoor lighting, artstation, detailed, digital painting, cinematic, character design by hayao miyazaki, unreal 5, daz, hyperrealistic, octane renderer, arnold renderer, 8k, matte
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000787.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 \"Cute small humanoid baby lion sitting in a movie theater eating popcorn watching a movie, unreal engine, volumetric, warm indoor lighting, artstation, detailed, digital painting, cinematic, character design by hayao miyazaki, unreal 5, daz, hyperrealistic, octane renderer, arnold renderer, 8k, matte\",\nall the frames of video are as 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" } ]
0002632
[ "0002632_00.jpg", "0002632_01.jpg", "0002632_02.jpg", "0002632_03.jpg", "0002632_04.jpg", "0002632_05.jpg", "0002632_06.jpg", "0002632_07.jpg", "0002632_08.jpg", "0002632_09.jpg", "0002632_10.jpg", "0002632_11.jpg", "0002632_12.jpg", "0002632_13.jpg", "0002632_14.jpg", "0002632_15.jpg", "0002632_16.jpg", "0002632_17.jpg", "0002632_18.jpg", "0002632_19.jpg", "0002632_20.jpg", "0002632_21.jpg", "0002632_22.jpg", "0002632_23.jpg" ]
a drummer wildy plays drums, by himself on an altar, people around are still and watching
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002632.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 drummer wildy plays drums, by himself on an altar, people around are still and watching\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
8001655
[ "8001655_00.jpg", "8001655_01.jpg", "8001655_02.jpg", "8001655_03.jpg", "8001655_04.jpg", "8001655_05.jpg", "8001655_06.jpg", "8001655_07.jpg", "8001655_08.jpg", "8001655_09.jpg", "8001655_10.jpg", "8001655_11.jpg", "8001655_12.jpg", "8001655_13.jpg", "8001655_14.jpg", "8001655_15.jpg", "8001655_16.jpg", "8001655_17.jpg", "8001655_18.jpg", "8001655_19.jpg", "8001655_20.jpg", "8001655_21.jpg", "8001655_22.jpg", "8001655_23.jpg" ]
1980s screengrab of indian male model, action movie scene, swordfighting
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001655.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 \"1980s screengrab of indian male model, action movie scene, swordfighting\",\nall the 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" } ]
4001501
[ "4001501_00.jpg", "4001501_01.jpg", "4001501_02.jpg", "4001501_03.jpg", "4001501_04.jpg", "4001501_05.jpg", "4001501_06.jpg", "4001501_07.jpg", "4001501_08.jpg", "4001501_09.jpg", "4001501_10.jpg", "4001501_11.jpg", "4001501_12.jpg", "4001501_13.jpg", "4001501_14.jpg", "4001501_15.jpg" ]
a steampunk robot firting numbers at a teenage student
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001501.mp4
3
2
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a steampunk robot firting numbers at a teenage student\",\nall the frames of video are as 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" } ]
2006488
[ "2006488_00.jpg", "2006488_01.jpg", "2006488_02.jpg", "2006488_03.jpg", "2006488_04.jpg", "2006488_05.jpg", "2006488_06.jpg", "2006488_07.jpg", "2006488_08.jpg", "2006488_09.jpg", "2006488_10.jpg", "2006488_11.jpg", "2006488_12.jpg", "2006488_13.jpg", "2006488_14.jpg", "2006488_15.jpg" ]
a kermit jabba the hutt has a picnic with a panda, 8k, motion 4
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006488.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 kermit jabba the hutt has a picnic with a panda, 8k, motion 4\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3005119
[ "3005119_00.jpg", "3005119_01.jpg", "3005119_02.jpg", "3005119_03.jpg", "3005119_04.jpg", "3005119_05.jpg", "3005119_06.jpg", "3005119_07.jpg", "3005119_08.jpg", "3005119_09.jpg", "3005119_10.jpg", "3005119_11.jpg", "3005119_12.jpg", "3005119_13.jpg", "3005119_14.jpg", "3005119_15.jpg" ]
more precise, face stay the same
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005119.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 \"more precise, face stay the same\",\nall the frames of video are as 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" } ]
2001171
[ "2001171_00.jpg", "2001171_01.jpg", "2001171_02.jpg", "2001171_03.jpg", "2001171_04.jpg", "2001171_05.jpg", "2001171_06.jpg", "2001171_07.jpg", "2001171_08.jpg", "2001171_09.jpg", "2001171_10.jpg", "2001171_11.jpg", "2001171_12.jpg", "2001171_13.jpg", "2001171_14.jpg", "2001171_15.jpg" ]
girl talking slowly in house full screen in
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001171.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 \"girl talking slowly in house \nfull screen in\",\nall the frames of video are as 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" } ]
6002888
[ "6002888_00.jpg", "6002888_01.jpg", "6002888_02.jpg", "6002888_03.jpg", "6002888_04.jpg", "6002888_05.jpg", "6002888_06.jpg", "6002888_07.jpg", "6002888_08.jpg", "6002888_09.jpg", "6002888_10.jpg", "6002888_11.jpg", "6002888_12.jpg", "6002888_13.jpg", "6002888_14.jpg", "6002888_15.jpg" ]
red blood cells and white blood cells flowing in blood plasma in 9:16 ratio
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002888.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 \"red blood cells and white blood cells flowing in blood plasma in 9:16 ratio\",\nall the frames of video are as 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" } ]
3005587
[ "3005587_00.jpg", "3005587_01.jpg", "3005587_02.jpg", "3005587_03.jpg", "3005587_04.jpg", "3005587_05.jpg", "3005587_06.jpg", "3005587_07.jpg", "3005587_08.jpg", "3005587_09.jpg", "3005587_10.jpg", "3005587_11.jpg", "3005587_12.jpg", "3005587_13.jpg", "3005587_14.jpg", "3005587_15.jpg" ]
text Snow is a gray kitten with a fluffy body shivering in the cold wind
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005587.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 \"text Snow is a gray kitten with a fluffy body shivering in the cold wind\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0000386
[ "0000386_00.jpg", "0000386_01.jpg", "0000386_02.jpg", "0000386_03.jpg", "0000386_04.jpg", "0000386_05.jpg", "0000386_06.jpg", "0000386_07.jpg", "0000386_08.jpg", "0000386_09.jpg", "0000386_10.jpg", "0000386_11.jpg", "0000386_12.jpg", "0000386_13.jpg", "0000386_14.jpg", "0000386_15.jpg", "0000386_16.jpg", "0000386_17.jpg", "0000386_18.jpg", "0000386_19.jpg", "0000386_20.jpg", "0000386_21.jpg", "0000386_22.jpg", "0000386_23.jpg" ]
MAKE A DRAGON FROM HOW TO TRIN UR DRAGON
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000386.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 \"MAKE A DRAGON FROM HOW TO TRIN UR DRAGON\",\nall the 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" } ]
s000167
[ "s000167_00.jpg", "s000167_01.jpg", "s000167_02.jpg", "s000167_03.jpg", "s000167_04.jpg", "s000167_05.jpg", "s000167_06.jpg", "s000167_07.jpg", "s000167_08.jpg", "s000167_09.jpg", "s000167_10.jpg", "s000167_11.jpg", "s000167_12.jpg", "s000167_13.jpg", "s000167_14.jpg", "s000167_15.jpg", "s000167_16.jpg", "s000167_17.jpg", "s000167_18.jpg", "s000167_19.jpg", "s000167_20.jpg", "s000167_21.jpg", "s000167_22.jpg", "s000167_23.jpg" ]
happy travels, and may your adventures be as captivating as the stories of mermaids.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000167.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 \"happy travels, and may your adventures be as captivating as the stories of mermaids.\",\nall the 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" } ]
2000199
[ "2000199_00.jpg", "2000199_01.jpg", "2000199_02.jpg", "2000199_03.jpg", "2000199_04.jpg", "2000199_05.jpg", "2000199_06.jpg", "2000199_07.jpg", "2000199_08.jpg", "2000199_09.jpg", "2000199_10.jpg", "2000199_11.jpg", "2000199_12.jpg", "2000199_13.jpg", "2000199_14.jpg", "2000199_15.jpg" ]
male rapper in Ethiopia, sitting front of his home, rapping, his girl next to him, 4k, detailed
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000199.mp4
3
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 \"male rapper in Ethiopia, sitting front of his home, rapping, his girl next to him, 4k, detailed\",\nall the frames of video are as 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: 1\n" } ]
1005267
[ "1005267_00.jpg", "1005267_01.jpg", "1005267_02.jpg", "1005267_03.jpg", "1005267_04.jpg", "1005267_05.jpg", "1005267_06.jpg", "1005267_07.jpg", "1005267_08.jpg", "1005267_09.jpg", "1005267_10.jpg", "1005267_11.jpg", "1005267_12.jpg", "1005267_13.jpg", "1005267_14.jpg", "1005267_15.jpg" ]
modern red car rushes along a winding road by the sea at sunset
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005267.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 \"modern red car rushes along a winding road by the sea at sunset\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
4003568
[ "4003568_00.jpg", "4003568_01.jpg", "4003568_02.jpg", "4003568_03.jpg", "4003568_04.jpg", "4003568_05.jpg", "4003568_06.jpg", "4003568_07.jpg", "4003568_08.jpg", "4003568_09.jpg", "4003568_10.jpg", "4003568_11.jpg", "4003568_12.jpg", "4003568_13.jpg", "4003568_14.jpg", "4003568_15.jpg" ]
3d cartoon animation video of two chicks one chick is cooking and the other is sitting next to him
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003568.mp4
3
3
1
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 \"3d cartoon animation video of two chicks one chick is cooking and the other is sitting next to him\",\nall the frames of video are as 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: 2\n" } ]
1002004
[ "1002004_00.jpg", "1002004_01.jpg", "1002004_02.jpg", "1002004_03.jpg", "1002004_04.jpg", "1002004_05.jpg", "1002004_06.jpg", "1002004_07.jpg", "1002004_08.jpg", "1002004_09.jpg", "1002004_10.jpg", "1002004_11.jpg", "1002004_12.jpg", "1002004_13.jpg", "1002004_14.jpg", "1002004_15.jpg" ]
a small sweet girl with green big eyes as sweet as doll in red and green long dress on bed with a doll in her hand anime 3d
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002004.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 small sweet girl with green big eyes as sweet as doll in red and green long dress on bed with a doll in her hand anime 3d\",\nall the frames of video are as 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" } ]