id
stringlengths
7
7
images
sequencelengths
8
24
text prompt
stringlengths
0
947
video link
stringlengths
89
89
visual quality
int64
1
4
temporal consistency
int64
1
4
dynamic degree
int64
1
4
text-to-video alignment
int64
0
4
factual consistency
int64
1
4
conversations
listlengths
2
2
1003888
[ "1003888_00.jpg", "1003888_01.jpg", "1003888_02.jpg", "1003888_03.jpg", "1003888_04.jpg", "1003888_05.jpg", "1003888_06.jpg", "1003888_07.jpg", "1003888_08.jpg", "1003888_09.jpg", "1003888_10.jpg", "1003888_11.jpg", "1003888_12.jpg", "1003888_13.jpg", "1003888_14.jpg", "1003888_15.jpg" ]
spaceman drowning in the middle of the ocean at night
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003888.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 \"spaceman drowning in the middle of the ocean at night\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
4003066
[ "4003066_00.jpg", "4003066_01.jpg", "4003066_02.jpg", "4003066_03.jpg", "4003066_04.jpg", "4003066_05.jpg", "4003066_06.jpg", "4003066_07.jpg", "4003066_08.jpg", "4003066_09.jpg", "4003066_10.jpg", "4003066_11.jpg", "4003066_12.jpg", "4003066_13.jpg", "4003066_14.jpg", "4003066_15.jpg" ]
man writes on board in class
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003066.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 \"man writes on board in class\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3005286
[ "3005286_00.jpg", "3005286_01.jpg", "3005286_02.jpg", "3005286_03.jpg", "3005286_04.jpg", "3005286_05.jpg", "3005286_06.jpg", "3005286_07.jpg", "3005286_08.jpg", "3005286_09.jpg", "3005286_10.jpg", "3005286_11.jpg", "3005286_12.jpg", "3005286_13.jpg", "3005286_14.jpg", "3005286_15.jpg" ]
A Hyper Realistic small dark skinned cartoon character looking in his mirror hood wearing chain and wearing cartier glasses with diamond grills
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005286.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 \"A Hyper Realistic small dark skinned cartoon character looking in his mirror hood wearing chain and wearing cartier glasses with diamond grills\",\nall the frames of video are as 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" } ]
1000021
[ "1000021_00.jpg", "1000021_01.jpg", "1000021_02.jpg", "1000021_03.jpg", "1000021_04.jpg", "1000021_05.jpg", "1000021_06.jpg", "1000021_07.jpg", "1000021_08.jpg", "1000021_09.jpg", "1000021_10.jpg", "1000021_11.jpg", "1000021_12.jpg", "1000021_13.jpg", "1000021_14.jpg", "1000021_15.jpg" ]
man is wearing pretty clothes and fishing
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000021.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 \"man is wearing pretty clothes and fishing\",\nall the frames of video are as 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" } ]
4004868
[ "4004868_00.jpg", "4004868_01.jpg", "4004868_02.jpg", "4004868_03.jpg", "4004868_04.jpg", "4004868_05.jpg", "4004868_06.jpg", "4004868_07.jpg", "4004868_08.jpg", "4004868_09.jpg", "4004868_10.jpg", "4004868_11.jpg", "4004868_12.jpg", "4004868_13.jpg", "4004868_14.jpg", "4004868_15.jpg" ]
a beautifull sunset behind a bot on the sea
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004868.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 beautifull sunset behind a bot on the sea\",\nall the frames of video are as 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" } ]
3000496
[ "3000496_00.jpg", "3000496_01.jpg", "3000496_02.jpg", "3000496_03.jpg", "3000496_04.jpg", "3000496_05.jpg", "3000496_06.jpg", "3000496_07.jpg", "3000496_08.jpg", "3000496_09.jpg", "3000496_10.jpg", "3000496_11.jpg", "3000496_12.jpg", "3000496_13.jpg", "3000496_14.jpg", "3000496_15.jpg" ]
Eminem from the back entering in a recording studio
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000496.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 \"Eminem from the back entering in a recording studio\",\nall the frames of video are as 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" } ]
7001271
[ "7001271_00.jpg", "7001271_01.jpg", "7001271_02.jpg", "7001271_03.jpg", "7001271_04.jpg", "7001271_05.jpg", "7001271_06.jpg", "7001271_07.jpg" ]
demon playing the ouija board, cinematic horror trailer style.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001271.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 \"demon playing the ouija board, cinematic horror trailer style.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
2002876
[ "2002876_00.jpg", "2002876_01.jpg", "2002876_02.jpg", "2002876_03.jpg", "2002876_04.jpg", "2002876_05.jpg", "2002876_06.jpg", "2002876_07.jpg", "2002876_08.jpg", "2002876_09.jpg", "2002876_10.jpg", "2002876_11.jpg", "2002876_12.jpg", "2002876_13.jpg", "2002876_14.jpg", "2002876_15.jpg" ]
a man using laptop sitting in building basement, its dark and barely anylight
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002876.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 man using laptop sitting in building basement, its dark and barely anylight\",\nall the frames of video are as 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" } ]
8003432
[ "8003432_00.jpg", "8003432_01.jpg", "8003432_02.jpg", "8003432_03.jpg", "8003432_04.jpg", "8003432_05.jpg", "8003432_06.jpg", "8003432_07.jpg", "8003432_08.jpg", "8003432_09.jpg", "8003432_10.jpg", "8003432_11.jpg", "8003432_12.jpg", "8003432_13.jpg", "8003432_14.jpg", "8003432_15.jpg", "8003432_16.jpg", "8003432_17.jpg", "8003432_18.jpg", "8003432_19.jpg", "8003432_20.jpg", "8003432_21.jpg", "8003432_22.jpg", "8003432_23.jpg" ]
she has arms,she have a small tattoo on my arm, erased with laser equipment
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003432.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 \"she has arms,she have a small tattoo on my arm, erased with laser equipment\",\nall the 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" } ]
7003118
[ "7003118_00.jpg", "7003118_01.jpg", "7003118_02.jpg", "7003118_03.jpg", "7003118_04.jpg", "7003118_05.jpg", "7003118_06.jpg", "7003118_07.jpg" ]
this is breathing. The treasure must be near
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003118.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 \"this is breathing. The treasure must be near\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
0002252
[ "0002252_00.jpg", "0002252_01.jpg", "0002252_02.jpg", "0002252_03.jpg", "0002252_04.jpg", "0002252_05.jpg", "0002252_06.jpg", "0002252_07.jpg", "0002252_08.jpg", "0002252_09.jpg", "0002252_10.jpg", "0002252_11.jpg", "0002252_12.jpg", "0002252_13.jpg", "0002252_14.jpg", "0002252_15.jpg", "0002252_16.jpg", "0002252_17.jpg", "0002252_18.jpg", "0002252_19.jpg", "0002252_20.jpg", "0002252_21.jpg", "0002252_22.jpg", "0002252_23.jpg" ]
Fireworks
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002252.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 \"Fireworks\",\nall the 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" } ]
0005630
[ "0005630_00.jpg", "0005630_01.jpg", "0005630_02.jpg", "0005630_03.jpg", "0005630_04.jpg", "0005630_05.jpg", "0005630_06.jpg", "0005630_07.jpg", "0005630_08.jpg", "0005630_09.jpg", "0005630_10.jpg", "0005630_11.jpg", "0005630_12.jpg", "0005630_13.jpg", "0005630_14.jpg", "0005630_15.jpg", "0005630_16.jpg", "0005630_17.jpg", "0005630_18.jpg", "0005630_19.jpg", "0005630_20.jpg", "0005630_21.jpg", "0005630_22.jpg", "0005630_23.jpg" ]
Year after year, Jack grew wealthy, but he no longer did the hard work himself; he relied on managing his farm to earn money.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005630.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 \"Year after year, Jack grew wealthy, but he no longer did the hard work himself; he relied on managing his farm to earn money.\",\nall the 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" } ]
7003871
[ "7003871_00.jpg", "7003871_01.jpg", "7003871_02.jpg", "7003871_03.jpg", "7003871_04.jpg", "7003871_05.jpg", "7003871_06.jpg", "7003871_07.jpg" ]
minecraft with the most gorgeous high res 8k texture pack ever
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003871.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 \"minecraft with the most gorgeous high res 8k texture pack ever\",\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: 2\n" } ]
1003216
[ "1003216_00.jpg", "1003216_01.jpg", "1003216_02.jpg", "1003216_03.jpg", "1003216_04.jpg", "1003216_05.jpg", "1003216_06.jpg", "1003216_07.jpg", "1003216_08.jpg", "1003216_09.jpg", "1003216_10.jpg", "1003216_11.jpg", "1003216_12.jpg", "1003216_13.jpg", "1003216_14.jpg", "1003216_15.jpg" ]
a side angle shot zooming in on man watching a video on his laptop screen (cyberpunk,cinematic)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003216.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 side angle shot zooming in on man watching a video on his laptop screen (cyberpunk,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: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7003584
[ "7003584_00.jpg", "7003584_01.jpg", "7003584_02.jpg", "7003584_03.jpg", "7003584_04.jpg", "7003584_05.jpg", "7003584_06.jpg", "7003584_07.jpg" ]
ants are dancing ,having a disco party , holding drinks , playing blackjack in casino
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003584.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 \"ants are dancing ,having a disco party , holding drinks , playing blackjack in casino\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
2000351
[ "2000351_00.jpg", "2000351_01.jpg", "2000351_02.jpg", "2000351_03.jpg", "2000351_04.jpg", "2000351_05.jpg", "2000351_06.jpg", "2000351_07.jpg", "2000351_08.jpg", "2000351_09.jpg", "2000351_10.jpg", "2000351_11.jpg", "2000351_12.jpg", "2000351_13.jpg", "2000351_14.jpg", "2000351_15.jpg" ]
One day, as dugong Danny peacefully grazed on seagrass near a coral reef, he noticed a young seahorse named Sandy struggling in the current. Sandy, with her tiny fins, was having difficulty navigating through the water. Danny, sensing her distress, swam over to offer assistance.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000351.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 \"One day, as dugong Danny peacefully grazed on seagrass near a coral reef, he noticed a young seahorse named Sandy struggling in the current. Sandy, with her tiny fins, was having difficulty navigating through the water. Danny, sensing her distress, swam over to offer assistance.\",\nall the frames of video are as 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" } ]
1004988
[ "1004988_00.jpg", "1004988_01.jpg", "1004988_02.jpg", "1004988_03.jpg", "1004988_04.jpg", "1004988_05.jpg", "1004988_06.jpg", "1004988_07.jpg", "1004988_08.jpg", "1004988_09.jpg", "1004988_10.jpg", "1004988_11.jpg", "1004988_12.jpg", "1004988_13.jpg", "1004988_14.jpg", "1004988_15.jpg" ]
a hyper realistic video of a female wrestler in a ring jumping from the top turnbuckle
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004988.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 hyper realistic video of a female wrestler in a ring jumping from the top turnbuckle\",\nall the frames of video are as 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" } ]
7003602
[ "7003602_00.jpg", "7003602_01.jpg", "7003602_02.jpg", "7003602_03.jpg", "7003602_04.jpg", "7003602_05.jpg", "7003602_06.jpg", "7003602_07.jpg" ]
create an angel speaking with great detail in the mouth articulation, with lots of backlighting rich in details, 8k cinematic style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003602.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 an angel speaking with great detail in the mouth articulation, with lots of backlighting rich in details, 8k cinematic style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
4001727
[ "4001727_00.jpg", "4001727_01.jpg", "4001727_02.jpg", "4001727_03.jpg", "4001727_04.jpg", "4001727_05.jpg", "4001727_06.jpg", "4001727_07.jpg", "4001727_08.jpg", "4001727_09.jpg", "4001727_10.jpg", "4001727_11.jpg", "4001727_12.jpg", "4001727_13.jpg", "4001727_14.jpg", "4001727_15.jpg" ]
Earth rotating and dripping bright colored pink, purple, blue, green and yellow paint
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001727.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 \"Earth rotating and dripping bright colored pink, purple, blue, green and yellow paint\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
8000126
[ "8000126_00.jpg", "8000126_01.jpg", "8000126_02.jpg", "8000126_03.jpg", "8000126_04.jpg", "8000126_05.jpg", "8000126_06.jpg", "8000126_07.jpg", "8000126_08.jpg", "8000126_09.jpg", "8000126_10.jpg", "8000126_11.jpg", "8000126_12.jpg", "8000126_13.jpg", "8000126_14.jpg", "8000126_15.jpg", "8000126_16.jpg", "8000126_17.jpg", "8000126_18.jpg", "8000126_19.jpg", "8000126_20.jpg", "8000126_21.jpg", "8000126_22.jpg", "8000126_23.jpg" ]
a parkour jumping robot in a futuristic city
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000126.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 parkour jumping robot in a futuristic city\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2002350
[ "2002350_00.jpg", "2002350_01.jpg", "2002350_02.jpg", "2002350_03.jpg", "2002350_04.jpg", "2002350_05.jpg", "2002350_06.jpg", "2002350_07.jpg", "2002350_08.jpg", "2002350_09.jpg", "2002350_10.jpg", "2002350_11.jpg", "2002350_12.jpg", "2002350_13.jpg", "2002350_14.jpg", "2002350_15.jpg" ]
anime girl with white hair smiling at viewer and flowers flying
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002350.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 \"anime girl with white hair smiling at viewer and flowers flying\",\nall the frames of video are as 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" } ]
2004566
[ "2004566_00.jpg", "2004566_01.jpg", "2004566_02.jpg", "2004566_03.jpg", "2004566_04.jpg", "2004566_05.jpg", "2004566_06.jpg", "2004566_07.jpg", "2004566_08.jpg", "2004566_09.jpg", "2004566_10.jpg", "2004566_11.jpg", "2004566_12.jpg", "2004566_13.jpg", "2004566_14.jpg", "2004566_15.jpg" ]
3D ,kids play with bigger round egypt hat
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004566.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 \"3D ,kids play with bigger round egypt hat\",\nall the frames of video are as 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" } ]
2004482
[ "2004482_00.jpg", "2004482_01.jpg", "2004482_02.jpg", "2004482_03.jpg", "2004482_04.jpg", "2004482_05.jpg", "2004482_06.jpg", "2004482_07.jpg", "2004482_08.jpg", "2004482_09.jpg", "2004482_10.jpg", "2004482_11.jpg", "2004482_12.jpg", "2004482_13.jpg", "2004482_14.jpg", "2004482_15.jpg" ]
Give thanks for each night.Give thanks for each day.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004482.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 \"Give thanks for each night.Give thanks for each day.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
0006437
[ "0006437_00.jpg", "0006437_01.jpg", "0006437_02.jpg", "0006437_03.jpg", "0006437_04.jpg", "0006437_05.jpg", "0006437_06.jpg", "0006437_07.jpg", "0006437_08.jpg", "0006437_09.jpg", "0006437_10.jpg", "0006437_11.jpg", "0006437_12.jpg", "0006437_13.jpg", "0006437_14.jpg", "0006437_15.jpg", "0006437_16.jpg", "0006437_17.jpg", "0006437_18.jpg", "0006437_19.jpg", "0006437_20.jpg", "0006437_21.jpg", "0006437_22.jpg", "0006437_23.jpg" ]
cinematic scene close above a calloused hand reaching out and despair
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006437.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 \"cinematic scene close above a calloused hand reaching out and despair\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3006405
[ "3006405_00.jpg", "3006405_01.jpg", "3006405_02.jpg", "3006405_03.jpg", "3006405_04.jpg", "3006405_05.jpg", "3006405_06.jpg", "3006405_07.jpg", "3006405_08.jpg", "3006405_09.jpg", "3006405_10.jpg", "3006405_11.jpg", "3006405_12.jpg", "3006405_13.jpg", "3006405_14.jpg", "3006405_15.jpg" ]
Leo, the mighty lion and jungle ruler, makes a majestic entrance, catching cat off guard.cartoon
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006405.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 \"Leo, the mighty lion and jungle ruler, makes a majestic entrance, catching cat off guard.cartoon\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
4004626
[ "4004626_00.jpg", "4004626_01.jpg", "4004626_02.jpg", "4004626_03.jpg", "4004626_04.jpg", "4004626_05.jpg", "4004626_06.jpg", "4004626_07.jpg", "4004626_08.jpg", "4004626_09.jpg", "4004626_10.jpg", "4004626_11.jpg", "4004626_12.jpg", "4004626_13.jpg", "4004626_14.jpg", "4004626_15.jpg" ]
3D, toons, horror, Outside a deserted village, there is a small hut at the edge of a forest IN front of Graveyard. The darkness of the night is thick and horrible, and a cold breeze is blowing in the air. A small fire is burning in front of the hut, 2 village young boy are sitting facing each other in front of the fire
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004626.mp4
2
2
2
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"3D, toons, horror, Outside a deserted village, there is a small hut at the edge of a forest IN front of Graveyard. The darkness of the night is thick and horrible, and a cold breeze is blowing in the air. A small fire is burning in front of the hut, 2 village young boy are sitting facing each other in front of the fire\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3002038
[ "3002038_00.jpg", "3002038_01.jpg", "3002038_02.jpg", "3002038_03.jpg", "3002038_04.jpg", "3002038_05.jpg", "3002038_06.jpg", "3002038_07.jpg", "3002038_08.jpg", "3002038_09.jpg", "3002038_10.jpg", "3002038_11.jpg", "3002038_12.jpg", "3002038_13.jpg", "3002038_14.jpg", "3002038_15.jpg" ]
alien that looking at a Pizza story
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002038.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 \"alien that looking at a Pizza story\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3002919
[ "3002919_00.jpg", "3002919_01.jpg", "3002919_02.jpg", "3002919_03.jpg", "3002919_04.jpg", "3002919_05.jpg", "3002919_06.jpg", "3002919_07.jpg", "3002919_08.jpg", "3002919_09.jpg", "3002919_10.jpg", "3002919_11.jpg", "3002919_12.jpg", "3002919_13.jpg", "3002919_14.jpg", "3002919_15.jpg" ]
Fatigued Protagonist, Weary, Realistic, Nighttime, Mysterious Command 生成的prompt词:Tired Yuki, Exhausted, Realistic, Moonlit Night, Enigmatic Message
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002919.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 \"Fatigued Protagonist, Weary, Realistic, Nighttime, Mysterious Command 生成的prompt词:Tired Yuki, Exhausted, Realistic, Moonlit Night, Enigmatic Message\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
4000627
[ "4000627_00.jpg", "4000627_01.jpg", "4000627_02.jpg", "4000627_03.jpg", "4000627_04.jpg", "4000627_05.jpg", "4000627_06.jpg", "4000627_07.jpg", "4000627_08.jpg", "4000627_09.jpg", "4000627_10.jpg", "4000627_11.jpg", "4000627_12.jpg", "4000627_13.jpg", "4000627_14.jpg", "4000627_15.jpg" ]
a dog with white color give birth to two little kid dog
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000627.mp4
3
1
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a dog with white color give birth to two little kid dog\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
4003136
[ "4003136_00.jpg", "4003136_01.jpg", "4003136_02.jpg", "4003136_03.jpg", "4003136_04.jpg", "4003136_05.jpg", "4003136_06.jpg", "4003136_07.jpg", "4003136_08.jpg", "4003136_09.jpg", "4003136_10.jpg", "4003136_11.jpg", "4003136_12.jpg", "4003136_13.jpg", "4003136_14.jpg", "4003136_15.jpg" ]
swirling dark hearts in a purple sky with clouds and a full moon
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003136.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 \"swirling dark hearts in a purple sky with clouds and a full moon\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
4001789
[ "4001789_00.jpg", "4001789_01.jpg", "4001789_02.jpg", "4001789_03.jpg", "4001789_04.jpg", "4001789_05.jpg", "4001789_06.jpg", "4001789_07.jpg", "4001789_08.jpg", "4001789_09.jpg", "4001789_10.jpg", "4001789_11.jpg", "4001789_12.jpg", "4001789_13.jpg", "4001789_14.jpg", "4001789_15.jpg" ]
Kiki, the world explorer, embarked on an adventurous journey to uncover the secrets of the globe
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001789.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 \"Kiki, the world explorer, embarked on an adventurous journey to uncover the secrets of the globe\",\nall the frames of video are as 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" } ]
2004508
[ "2004508_00.jpg", "2004508_01.jpg", "2004508_02.jpg", "2004508_03.jpg", "2004508_04.jpg", "2004508_05.jpg", "2004508_06.jpg", "2004508_07.jpg", "2004508_08.jpg", "2004508_09.jpg", "2004508_10.jpg", "2004508_11.jpg", "2004508_12.jpg", "2004508_13.jpg", "2004508_14.jpg", "2004508_15.jpg" ]
very cold icy snowy day and little baby animals are freezing
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004508.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 \"very cold icy snowy day and little baby animals are freezing\",\nall the frames of video are as 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" } ]
8000193
[ "8000193_00.jpg", "8000193_01.jpg", "8000193_02.jpg", "8000193_03.jpg", "8000193_04.jpg", "8000193_05.jpg", "8000193_06.jpg", "8000193_07.jpg", "8000193_08.jpg", "8000193_09.jpg", "8000193_10.jpg", "8000193_11.jpg", "8000193_12.jpg", "8000193_13.jpg", "8000193_14.jpg", "8000193_15.jpg", "8000193_16.jpg", "8000193_17.jpg", "8000193_18.jpg", "8000193_19.jpg", "8000193_20.jpg", "8000193_21.jpg", "8000193_22.jpg", "8000193_23.jpg" ]
Join the villagers in their quest to preserve the forgotten tales uncovered during the exploration.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000193.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 \"Join the villagers in their quest to preserve the forgotten tales uncovered during the exploration.\",\nall the 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" } ]
0000404
[ "0000404_00.jpg", "0000404_01.jpg", "0000404_02.jpg", "0000404_03.jpg", "0000404_04.jpg", "0000404_05.jpg", "0000404_06.jpg", "0000404_07.jpg", "0000404_08.jpg", "0000404_09.jpg", "0000404_10.jpg", "0000404_11.jpg", "0000404_12.jpg", "0000404_13.jpg", "0000404_14.jpg", "0000404_15.jpg", "0000404_16.jpg", "0000404_17.jpg", "0000404_18.jpg", "0000404_19.jpg", "0000404_20.jpg", "0000404_21.jpg", "0000404_22.jpg", "0000404_23.jpg" ]
a fantasy rogue wearing a dark cloak and carrying a torch in his right hand slowly walks through an ancient crypt.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000404.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 fantasy rogue wearing a dark cloak and carrying a torch in his right hand slowly walks through an ancient crypt.\",\nall the 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" } ]
9000073
[ "9000073_00.jpg", "9000073_01.jpg", "9000073_02.jpg", "9000073_03.jpg", "9000073_04.jpg", "9000073_05.jpg", "9000073_06.jpg", "9000073_07.jpg", "9000073_08.jpg", "9000073_09.jpg", "9000073_10.jpg", "9000073_11.jpg", "9000073_12.jpg", "9000073_13.jpg", "9000073_14.jpg", "9000073_15.jpg", "9000073_16.jpg", "9000073_17.jpg", "9000073_18.jpg", "9000073_19.jpg", "9000073_20.jpg", "9000073_21.jpg", "9000073_22.jpg", "9000073_23.jpg" ]
yellow Lamborghini driving on a wet road
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000073.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 \"yellow Lamborghini driving on a wet road\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
1004962
[ "1004962_00.jpg", "1004962_01.jpg", "1004962_02.jpg", "1004962_03.jpg", "1004962_04.jpg", "1004962_05.jpg", "1004962_06.jpg", "1004962_07.jpg", "1004962_08.jpg", "1004962_09.jpg", "1004962_10.jpg", "1004962_11.jpg", "1004962_12.jpg", "1004962_13.jpg", "1004962_14.jpg", "1004962_15.jpg" ]
Rani is a teenage girl who wears pink clothes, has long hair and braids.rani gazes at the antique mirror in the flea market, looking enchanted.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004962.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 \"Rani is a teenage girl who wears pink clothes, has long hair and braids.rani gazes at the antique mirror in the flea market, looking enchanted.\",\nall the frames of video are as 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" } ]
0001586
[ "0001586_00.jpg", "0001586_01.jpg", "0001586_02.jpg", "0001586_03.jpg", "0001586_04.jpg", "0001586_05.jpg", "0001586_06.jpg", "0001586_07.jpg", "0001586_08.jpg", "0001586_09.jpg", "0001586_10.jpg", "0001586_11.jpg", "0001586_12.jpg", "0001586_13.jpg", "0001586_14.jpg", "0001586_15.jpg", "0001586_16.jpg", "0001586_17.jpg", "0001586_18.jpg", "0001586_19.jpg", "0001586_20.jpg", "0001586_21.jpg", "0001586_22.jpg", "0001586_23.jpg" ]
a motorcycle turning a corner
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001586.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 motorcycle turning a corner\",\nall the 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" } ]
4000624
[ "4000624_00.jpg", "4000624_01.jpg", "4000624_02.jpg", "4000624_03.jpg", "4000624_04.jpg", "4000624_05.jpg", "4000624_06.jpg", "4000624_07.jpg", "4000624_08.jpg", "4000624_09.jpg", "4000624_10.jpg", "4000624_11.jpg", "4000624_12.jpg", "4000624_13.jpg", "4000624_14.jpg", "4000624_15.jpg" ]
a ancient greek nymph dancing by the creek. epic cinematic atmospere. high quality. intricate detail
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000624.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 ancient greek nymph dancing by the creek. epic cinematic atmospere. high quality. intricate detail\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
7002265
[ "7002265_00.jpg", "7002265_01.jpg", "7002265_02.jpg", "7002265_03.jpg", "7002265_04.jpg", "7002265_05.jpg", "7002265_06.jpg", "7002265_07.jpg" ]
Explore the latest research and discoveries surrounding black holes, including their role in the evolution of galaxies and the mysterious phenomena associated with them
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002265.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 \"Explore the latest research and discoveries surrounding black holes, including their role in the evolution of galaxies and the mysterious phenomena associated with them\",\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" } ]
5001086
[ "5001086_00.jpg", "5001086_01.jpg", "5001086_02.jpg", "5001086_03.jpg", "5001086_04.jpg", "5001086_05.jpg", "5001086_06.jpg", "5001086_07.jpg", "5001086_08.jpg", "5001086_09.jpg", "5001086_10.jpg", "5001086_11.jpg", "5001086_12.jpg", "5001086_13.jpg", "5001086_14.jpg", "5001086_15.jpg" ]
Reflection of MRI image on a mirror in an art gallery
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001086.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 \"Reflection of MRI image on a mirror in an art gallery\",\nall the frames of video are as 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" } ]
0001597
[ "0001597_00.jpg", "0001597_01.jpg", "0001597_02.jpg", "0001597_03.jpg", "0001597_04.jpg", "0001597_05.jpg", "0001597_06.jpg", "0001597_07.jpg", "0001597_08.jpg", "0001597_09.jpg", "0001597_10.jpg", "0001597_11.jpg", "0001597_12.jpg", "0001597_13.jpg", "0001597_14.jpg", "0001597_15.jpg", "0001597_16.jpg", "0001597_17.jpg", "0001597_18.jpg", "0001597_19.jpg", "0001597_20.jpg", "0001597_21.jpg", "0001597_22.jpg", "0001597_23.jpg" ]
the game doom as a movie
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001597.mp4
2
3
1
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"the game doom as a movie\",\nall the 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" } ]
1003699
[ "1003699_00.jpg", "1003699_01.jpg", "1003699_02.jpg", "1003699_03.jpg", "1003699_04.jpg", "1003699_05.jpg", "1003699_06.jpg", "1003699_07.jpg", "1003699_08.jpg", "1003699_09.jpg", "1003699_10.jpg", "1003699_11.jpg", "1003699_12.jpg", "1003699_13.jpg", "1003699_14.jpg", "1003699_15.jpg" ]
give an image of zachaeus in the bible as taking selfie
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003699.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 \"give an image of zachaeus in the bible as taking selfie\",\nall the frames of video are as 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" } ]
7000795
[ "7000795_00.jpg", "7000795_01.jpg", "7000795_02.jpg", "7000795_03.jpg", "7000795_04.jpg", "7000795_05.jpg", "7000795_06.jpg", "7000795_07.jpg" ]
four chairs. four chairs on stage. cartoon characters on chairs. Message: Stand Up Club VR (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000795.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 \"four chairs. four chairs on stage. cartoon characters on chairs. Message: Stand Up Club VR (Font: MODERN)\",\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" } ]
0001582
[ "0001582_00.jpg", "0001582_01.jpg", "0001582_02.jpg", "0001582_03.jpg", "0001582_04.jpg", "0001582_05.jpg", "0001582_06.jpg", "0001582_07.jpg", "0001582_08.jpg", "0001582_09.jpg", "0001582_10.jpg", "0001582_11.jpg", "0001582_12.jpg", "0001582_13.jpg", "0001582_14.jpg", "0001582_15.jpg", "0001582_16.jpg", "0001582_17.jpg", "0001582_18.jpg", "0001582_19.jpg", "0001582_20.jpg", "0001582_21.jpg", "0001582_22.jpg", "0001582_23.jpg" ]
tarvelling in the space at speed of light
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001582.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 \"tarvelling in the space at speed of light\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
0001850
[ "0001850_00.jpg", "0001850_01.jpg", "0001850_02.jpg", "0001850_03.jpg", "0001850_04.jpg", "0001850_05.jpg", "0001850_06.jpg", "0001850_07.jpg", "0001850_08.jpg", "0001850_09.jpg", "0001850_10.jpg", "0001850_11.jpg", "0001850_12.jpg", "0001850_13.jpg", "0001850_14.jpg", "0001850_15.jpg", "0001850_16.jpg", "0001850_17.jpg", "0001850_18.jpg", "0001850_19.jpg", "0001850_20.jpg", "0001850_21.jpg", "0001850_22.jpg", "0001850_23.jpg" ]
morning sun with jungle young lion
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001850.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 \"morning sun with jungle young lion\",\nall the 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" } ]
4000642
[ "4000642_00.jpg", "4000642_01.jpg", "4000642_02.jpg", "4000642_03.jpg", "4000642_04.jpg", "4000642_05.jpg", "4000642_06.jpg", "4000642_07.jpg", "4000642_08.jpg", "4000642_09.jpg", "4000642_10.jpg", "4000642_11.jpg", "4000642_12.jpg", "4000642_13.jpg", "4000642_14.jpg", "4000642_15.jpg" ]
Hisashi Mitsui was walking on the playground with his back to the sunset while shooting a basketball.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000642.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 \"Hisashi Mitsui was walking on the playground with his back to the sunset while shooting a basketball.\",\nall the frames of video are as 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" } ]
6001422
[ "6001422_00.jpg", "6001422_01.jpg", "6001422_02.jpg", "6001422_03.jpg", "6001422_04.jpg", "6001422_05.jpg", "6001422_06.jpg", "6001422_07.jpg", "6001422_08.jpg", "6001422_09.jpg", "6001422_10.jpg", "6001422_11.jpg", "6001422_12.jpg", "6001422_13.jpg", "6001422_14.jpg", "6001422_15.jpg" ]
Once upon a time, in a colorful world filled with joy and wonder, there was a group of friendly animals who lived in the enchanting Alphabet Forest. Each animal represented a letter of the English alphabet, and they all loved to learn and have fun.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001422.mp4
3
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Once upon a time, in a colorful world filled with joy and wonder, there was a group of friendly animals who lived in the enchanting Alphabet Forest. Each animal represented a letter of the English alphabet, and they all loved to learn and have fun.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7000916
[ "7000916_00.jpg", "7000916_01.jpg", "7000916_02.jpg", "7000916_03.jpg", "7000916_04.jpg", "7000916_05.jpg", "7000916_06.jpg", "7000916_07.jpg" ]
man sitting at desk with a headset that is answering the phone
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000916.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 \"man sitting at desk with a headset that is answering the phone\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
0002679
[ "0002679_00.jpg", "0002679_01.jpg", "0002679_02.jpg", "0002679_03.jpg", "0002679_04.jpg", "0002679_05.jpg", "0002679_06.jpg", "0002679_07.jpg", "0002679_08.jpg", "0002679_09.jpg", "0002679_10.jpg", "0002679_11.jpg", "0002679_12.jpg", "0002679_13.jpg", "0002679_14.jpg", "0002679_15.jpg", "0002679_16.jpg", "0002679_17.jpg", "0002679_18.jpg", "0002679_19.jpg", "0002679_20.jpg", "0002679_21.jpg", "0002679_22.jpg", "0002679_23.jpg" ]
In the realm of Eldoria, five clans faced a looming darkness: the dreaded Shadowfiend.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002679.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 \"In the realm of Eldoria, five clans faced a looming darkness: the dreaded Shadowfiend.\",\nall the 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" } ]
1001492
[ "1001492_00.jpg", "1001492_01.jpg", "1001492_02.jpg", "1001492_03.jpg", "1001492_04.jpg", "1001492_05.jpg", "1001492_06.jpg", "1001492_07.jpg", "1001492_08.jpg", "1001492_09.jpg", "1001492_10.jpg", "1001492_11.jpg", "1001492_12.jpg", "1001492_13.jpg", "1001492_14.jpg", "1001492_15.jpg" ]
full body workout templates for women
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001492.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 \"full body workout templates for women\",\nall the frames of video are as 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" } ]
4001683
[ "4001683_00.jpg", "4001683_01.jpg", "4001683_02.jpg", "4001683_03.jpg", "4001683_04.jpg", "4001683_05.jpg", "4001683_06.jpg", "4001683_07.jpg", "4001683_08.jpg", "4001683_09.jpg", "4001683_10.jpg", "4001683_11.jpg", "4001683_12.jpg", "4001683_13.jpg", "4001683_14.jpg", "4001683_15.jpg" ]
A vivid and lifelike representation of someone pinching their elbow skin with maximum force, utilizing meticulous attention to detail to convey the lack of pain, while emphasizing the physical aspects of the action.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001683.mp4
3
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A vivid and lifelike representation of someone pinching their elbow skin with maximum force, utilizing meticulous attention to detail to convey the lack of pain, while emphasizing the physical aspects of the action.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6002856
[ "6002856_00.jpg", "6002856_01.jpg", "6002856_02.jpg", "6002856_03.jpg", "6002856_04.jpg", "6002856_05.jpg", "6002856_06.jpg", "6002856_07.jpg", "6002856_08.jpg", "6002856_09.jpg", "6002856_10.jpg", "6002856_11.jpg", "6002856_12.jpg", "6002856_13.jpg", "6002856_14.jpg", "6002856_15.jpg" ]
slow motion sea wave, old video, 1970, realism, cinematic, Blair witch project movie style, the ring movie style, horror, focus, details, chromatic, ghosts, old film, zooming,camera pan left
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002856.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 \"slow motion sea wave, old video, 1970, realism, cinematic, Blair witch project movie style, the ring movie style, horror, focus, details, chromatic, ghosts, old film, zooming,camera pan left\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
4001012
[ "4001012_00.jpg", "4001012_01.jpg", "4001012_02.jpg", "4001012_03.jpg", "4001012_04.jpg", "4001012_05.jpg", "4001012_06.jpg", "4001012_07.jpg", "4001012_08.jpg", "4001012_09.jpg", "4001012_10.jpg", "4001012_11.jpg", "4001012_12.jpg", "4001012_13.jpg", "4001012_14.jpg", "4001012_15.jpg" ]
a dark night in the city with a starry sky, movement
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001012.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 dark night in the city with a starry sky, movement\",\nall the frames of video are as 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" } ]
3004059
[ "3004059_00.jpg", "3004059_01.jpg", "3004059_02.jpg", "3004059_03.jpg", "3004059_04.jpg", "3004059_05.jpg", "3004059_06.jpg", "3004059_07.jpg", "3004059_08.jpg", "3004059_09.jpg", "3004059_10.jpg", "3004059_11.jpg", "3004059_12.jpg", "3004059_13.jpg", "3004059_14.jpg", "3004059_15.jpg" ]
statue of Liberty as Giza pyramid king
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004059.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 \"statue of Liberty as Giza pyramid king\",\nall the frames of video are as 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" } ]
1006078
[ "1006078_00.jpg", "1006078_01.jpg", "1006078_02.jpg", "1006078_03.jpg", "1006078_04.jpg", "1006078_05.jpg", "1006078_06.jpg", "1006078_07.jpg", "1006078_08.jpg", "1006078_09.jpg", "1006078_10.jpg", "1006078_11.jpg", "1006078_12.jpg", "1006078_13.jpg", "1006078_14.jpg", "1006078_15.jpg" ]
A house with several animals with the screen moving away and a beautiful sunlight coming in!
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006078.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 house with several animals with the screen moving away and a beautiful sunlight coming 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: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2001518
[ "2001518_00.jpg", "2001518_01.jpg", "2001518_02.jpg", "2001518_03.jpg", "2001518_04.jpg", "2001518_05.jpg", "2001518_06.jpg", "2001518_07.jpg", "2001518_08.jpg", "2001518_09.jpg", "2001518_10.jpg", "2001518_11.jpg", "2001518_12.jpg", "2001518_13.jpg", "2001518_14.jpg", "2001518_15.jpg" ]
A mangy dog ​​leaving the airport and finding himself facing a pack of lions in the savannah
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001518.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 mangy dog ​​leaving the airport and finding himself facing a pack of lions in the savannah\",\nall the frames of video are as 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" } ]
4000266
[ "4000266_00.jpg", "4000266_01.jpg", "4000266_02.jpg", "4000266_03.jpg", "4000266_04.jpg", "4000266_05.jpg", "4000266_06.jpg", "4000266_07.jpg", "4000266_08.jpg", "4000266_09.jpg", "4000266_10.jpg", "4000266_11.jpg", "4000266_12.jpg", "4000266_13.jpg", "4000266_14.jpg", "4000266_15.jpg" ]
dimly lit room, silhouette of man holding football, cinematic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000266.mp4
3
1
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"dimly lit room, silhouette of man holding football, 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: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
8000167
[ "8000167_00.jpg", "8000167_01.jpg", "8000167_02.jpg", "8000167_03.jpg", "8000167_04.jpg", "8000167_05.jpg", "8000167_06.jpg", "8000167_07.jpg", "8000167_08.jpg", "8000167_09.jpg", "8000167_10.jpg", "8000167_11.jpg", "8000167_12.jpg", "8000167_13.jpg", "8000167_14.jpg", "8000167_15.jpg", "8000167_16.jpg", "8000167_17.jpg", "8000167_18.jpg", "8000167_19.jpg", "8000167_20.jpg", "8000167_21.jpg", "8000167_22.jpg", "8000167_23.jpg" ]
a mermaid swimming underwater, 1920s rare film footage
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000167.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 mermaid swimming underwater, 1920s rare film footage\",\nall the 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" } ]
4001430
[ "4001430_00.jpg", "4001430_01.jpg", "4001430_02.jpg", "4001430_03.jpg", "4001430_04.jpg", "4001430_05.jpg", "4001430_06.jpg", "4001430_07.jpg", "4001430_08.jpg", "4001430_09.jpg", "4001430_10.jpg", "4001430_11.jpg", "4001430_12.jpg", "4001430_13.jpg", "4001430_14.jpg", "4001430_15.jpg" ]
Astronaut lounging in the sun on Mars, solar flares visible in the background, Blender, render
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001430.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 \"Astronaut lounging in the sun on Mars, solar flares visible in the background, Blender, render\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6001700
[ "6001700_00.jpg", "6001700_01.jpg", "6001700_02.jpg", "6001700_03.jpg", "6001700_04.jpg", "6001700_05.jpg", "6001700_06.jpg", "6001700_07.jpg", "6001700_08.jpg", "6001700_09.jpg", "6001700_10.jpg", "6001700_11.jpg", "6001700_12.jpg", "6001700_13.jpg", "6001700_14.jpg", "6001700_15.jpg" ]
a girl in red dress is dancing under the moonlight
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001700.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 girl in red dress is dancing under the moonlight\",\nall the frames of video are as 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" } ]
3005687
[ "3005687_00.jpg", "3005687_01.jpg", "3005687_02.jpg", "3005687_03.jpg", "3005687_04.jpg", "3005687_05.jpg", "3005687_06.jpg", "3005687_07.jpg", "3005687_08.jpg", "3005687_09.jpg", "3005687_10.jpg", "3005687_11.jpg", "3005687_12.jpg", "3005687_13.jpg", "3005687_14.jpg", "3005687_15.jpg" ]
space travel with Allah name in arabic 10 SEC clip
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005687.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 \"space travel with Allah name in arabic 10 SEC clip\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
s000374
[ "s000374_00.jpg", "s000374_01.jpg", "s000374_02.jpg", "s000374_03.jpg", "s000374_04.jpg", "s000374_05.jpg", "s000374_06.jpg", "s000374_07.jpg", "s000374_08.jpg", "s000374_09.jpg", "s000374_10.jpg", "s000374_11.jpg", "s000374_12.jpg", "s000374_13.jpg", "s000374_14.jpg", "s000374_15.jpg", "s000374_16.jpg", "s000374_17.jpg", "s000374_18.jpg", "s000374_19.jpg" ]
video of a rainbow in a snowy mountains, unreal engine, cinematic, mystical, 32k, UHD, Pixar
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000374.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 \"video of a rainbow in a snowy mountains, unreal engine, cinematic, mystical, 32k, UHD, Pixar\",\nall the 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" } ]
3001462
[ "3001462_00.jpg", "3001462_01.jpg", "3001462_02.jpg", "3001462_03.jpg", "3001462_04.jpg", "3001462_05.jpg", "3001462_06.jpg", "3001462_07.jpg", "3001462_08.jpg", "3001462_09.jpg", "3001462_10.jpg", "3001462_11.jpg", "3001462_12.jpg", "3001462_13.jpg", "3001462_14.jpg", "3001462_15.jpg" ]
The forest was buzzing with activity as the friends decorated their eggs with vibrant colors and patterns. Little did they know that a mysterious visitor, a mischievous fox named Freddy, was watching from the shadows.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001462.mp4
2
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The forest was buzzing with activity as the friends decorated their eggs with vibrant colors and patterns. Little did they know that a mysterious visitor, a mischievous fox named Freddy, was watching from the shadows.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7000394
[ "7000394_00.jpg", "7000394_01.jpg", "7000394_02.jpg", "7000394_03.jpg", "7000394_04.jpg", "7000394_05.jpg", "7000394_06.jpg", "7000394_07.jpg" ]
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000394.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 \"\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
7001584
[ "7001584_00.jpg", "7001584_01.jpg", "7001584_02.jpg", "7001584_03.jpg", "7001584_04.jpg", "7001584_05.jpg", "7001584_06.jpg", "7001584_07.jpg" ]
2 alien in a spaceship typing something in a monitor
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001584.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 \"2 alien in a spaceship typing something in a monitor\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
5001805
[ "5001805_00.jpg", "5001805_01.jpg", "5001805_02.jpg", "5001805_03.jpg", "5001805_04.jpg", "5001805_05.jpg", "5001805_06.jpg", "5001805_07.jpg", "5001805_08.jpg", "5001805_09.jpg", "5001805_10.jpg", "5001805_11.jpg", "5001805_12.jpg", "5001805_13.jpg", "5001805_14.jpg", "5001805_15.jpg" ]
a heart of gold coming out of fire, 8k
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001805.mp4
2
2
2
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a heart of gold coming out of fire, 8k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
6000657
[ "6000657_00.jpg", "6000657_01.jpg", "6000657_02.jpg", "6000657_03.jpg", "6000657_04.jpg", "6000657_05.jpg", "6000657_06.jpg", "6000657_07.jpg", "6000657_08.jpg", "6000657_09.jpg", "6000657_10.jpg", "6000657_11.jpg", "6000657_12.jpg", "6000657_13.jpg", "6000657_14.jpg", "6000657_15.jpg" ]
book of life in a mystic atmosphere
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000657.mp4
1
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 \"book of life in a mystic atmosphere\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
2000762
[ "2000762_00.jpg", "2000762_01.jpg", "2000762_02.jpg", "2000762_03.jpg", "2000762_04.jpg", "2000762_05.jpg", "2000762_06.jpg", "2000762_07.jpg", "2000762_08.jpg", "2000762_09.jpg", "2000762_10.jpg", "2000762_11.jpg", "2000762_12.jpg", "2000762_13.jpg", "2000762_14.jpg", "2000762_15.jpg" ]
Three to four cute cartoon pillows running on the bed
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000762.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 \"Three to four cute cartoon pillows running on the 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> " }, { "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" } ]
3005581
[ "3005581_00.jpg", "3005581_01.jpg", "3005581_02.jpg", "3005581_03.jpg", "3005581_04.jpg", "3005581_05.jpg", "3005581_06.jpg", "3005581_07.jpg", "3005581_08.jpg", "3005581_09.jpg", "3005581_10.jpg", "3005581_11.jpg", "3005581_12.jpg", "3005581_13.jpg", "3005581_14.jpg", "3005581_15.jpg" ]
Create a vibrant 3D scene featuring a group of small and bright ants working together to lift objects twice their size. Show their teamwork and determination.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005581.mp4
1
2
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Create a vibrant 3D scene featuring a group of small and bright ants working together to lift objects twice their size. Show their teamwork and determination.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1000298
[ "1000298_00.jpg", "1000298_01.jpg", "1000298_02.jpg", "1000298_03.jpg", "1000298_04.jpg", "1000298_05.jpg", "1000298_06.jpg", "1000298_07.jpg", "1000298_08.jpg", "1000298_09.jpg", "1000298_10.jpg", "1000298_11.jpg", "1000298_12.jpg", "1000298_13.jpg", "1000298_14.jpg", "1000298_15.jpg" ]
The room engulfed in darkness, the only light coming from a flickering candle as the paranormal expert performs the ritual, their features barely visible, blurry and in black and white.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000298.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The room engulfed in darkness, the only light coming from a flickering candle as the paranormal expert performs the ritual, their features barely visible, blurry and in black and white.\",\nall the frames of video are as 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" } ]
5000307
[ "5000307_00.jpg", "5000307_01.jpg", "5000307_02.jpg", "5000307_03.jpg", "5000307_04.jpg", "5000307_05.jpg", "5000307_06.jpg", "5000307_07.jpg", "5000307_08.jpg", "5000307_09.jpg", "5000307_10.jpg", "5000307_11.jpg", "5000307_12.jpg", "5000307_13.jpg", "5000307_14.jpg", "5000307_15.jpg" ]
Paul Trillo is a multi-disciplinary artist, writer, and director whose work has earned accolades from outlets like Rolling Stone and The New Yorker. Paul has garnered 19 Vimeo Staff Picks, an honor given to the best short films hosted on Vimeo. “Working with Sora is the first time I’ve felt unchained as a filmmaker,” he states. “Not restricted by time, money, other people’s permission, I can ideate and experiment in bold and exciting ways.” His experimental videos reflect this approach. “Sora is at its most powerful when you’re not replicating the old but bringing to life new and impossible ideas we would have otherwise never had the opportunity to see.”
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000307.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 \"Paul Trillo is a multi-disciplinary artist, writer, and director whose work has earned accolades from outlets like Rolling Stone and The New Yorker. Paul has garnered 19 Vimeo Staff Picks, an honor given to the best short films hosted on Vimeo. “Working with Sora is the first time I’ve felt unchained as a filmmaker,” he states. “Not restricted by time, money, other people’s permission, I can ideate and experiment in bold and exciting ways.” His experimental videos reflect this approach. “Sora is at its most powerful when you’re not replicating the old but bringing to life new and impossible ideas we would have otherwise never had the opportunity to see.”\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
8000538
[ "8000538_00.jpg", "8000538_01.jpg", "8000538_02.jpg", "8000538_03.jpg", "8000538_04.jpg", "8000538_05.jpg", "8000538_06.jpg", "8000538_07.jpg", "8000538_08.jpg", "8000538_09.jpg", "8000538_10.jpg", "8000538_11.jpg", "8000538_12.jpg", "8000538_13.jpg", "8000538_14.jpg", "8000538_15.jpg", "8000538_16.jpg", "8000538_17.jpg", "8000538_18.jpg", "8000538_19.jpg", "8000538_20.jpg", "8000538_21.jpg", "8000538_22.jpg", "8000538_23.jpg" ]
Space hunchback whale opening mouth very wide over earths atmosphere
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000538.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 \"Space hunchback whale opening mouth very wide over earths atmosphere\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
2002432
[ "2002432_00.jpg", "2002432_01.jpg", "2002432_02.jpg", "2002432_03.jpg", "2002432_04.jpg", "2002432_05.jpg", "2002432_06.jpg", "2002432_07.jpg", "2002432_08.jpg", "2002432_09.jpg", "2002432_10.jpg", "2002432_11.jpg", "2002432_12.jpg", "2002432_13.jpg", "2002432_14.jpg", "2002432_15.jpg" ]
a dog chases after a red car
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002432.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 dog chases after a red 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: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3000434
[ "3000434_00.jpg", "3000434_01.jpg", "3000434_02.jpg", "3000434_03.jpg", "3000434_04.jpg", "3000434_05.jpg", "3000434_06.jpg", "3000434_07.jpg", "3000434_08.jpg", "3000434_09.jpg", "3000434_10.jpg", "3000434_11.jpg", "3000434_12.jpg", "3000434_13.jpg", "3000434_14.jpg", "3000434_15.jpg" ]
a fantasy world fulls of elves, drawf and orcs while humans within , showing different places with powerful gems or crystal
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000434.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 fantasy world fulls of elves, drawf and orcs while humans within , showing different places with powerful gems or crystal\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1000055
[ "1000055_00.jpg", "1000055_01.jpg", "1000055_02.jpg", "1000055_03.jpg", "1000055_04.jpg", "1000055_05.jpg", "1000055_06.jpg", "1000055_07.jpg", "1000055_08.jpg", "1000055_09.jpg", "1000055_10.jpg", "1000055_11.jpg", "1000055_12.jpg", "1000055_13.jpg", "1000055_14.jpg", "1000055_15.jpg" ]
A hobbit wearing a batman costume
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000055.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 hobbit wearing a batman costume\",\nall the frames of video are as 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" } ]
1001067
[ "1001067_00.jpg", "1001067_01.jpg", "1001067_02.jpg", "1001067_03.jpg", "1001067_04.jpg", "1001067_05.jpg", "1001067_06.jpg", "1001067_07.jpg", "1001067_08.jpg", "1001067_09.jpg", "1001067_10.jpg", "1001067_11.jpg", "1001067_12.jpg", "1001067_13.jpg", "1001067_14.jpg", "1001067_15.jpg" ]
model looking around moving side to side and smiling
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001067.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 \"model looking around moving side to side and smiling\",\nall the frames of video are as 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" } ]
7001430
[ "7001430_00.jpg", "7001430_01.jpg", "7001430_02.jpg", "7001430_03.jpg", "7001430_04.jpg", "7001430_05.jpg", "7001430_06.jpg", "7001430_07.jpg" ]
quick scenes of australia flash across the scene one scene morphing into the next with a fast pace
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001430.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 \"quick scenes of australia flash across the scene one scene morphing into the next with a fast pace\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
0001233
[ "0001233_00.jpg", "0001233_01.jpg", "0001233_02.jpg", "0001233_03.jpg", "0001233_04.jpg", "0001233_05.jpg", "0001233_06.jpg", "0001233_07.jpg", "0001233_08.jpg", "0001233_09.jpg", "0001233_10.jpg", "0001233_11.jpg", "0001233_12.jpg", "0001233_13.jpg", "0001233_14.jpg", "0001233_15.jpg", "0001233_16.jpg", "0001233_17.jpg", "0001233_18.jpg", "0001233_19.jpg", "0001233_20.jpg", "0001233_21.jpg", "0001233_22.jpg", "0001233_23.jpg" ]
VR Interface for Remote Work: Create an image of a person wearing VR glasses in a home office, fully immersed in a holographic workspace. The assistant helps organize files, schedule meetings, and manage tasks within this virtual environment.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001233.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 \"VR Interface for Remote Work: Create an image of a person wearing VR glasses in a home office, fully immersed in a holographic workspace. The assistant helps organize files, schedule meetings, and manage tasks within this virtual environment.\",\nall the 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" } ]
2001973
[ "2001973_00.jpg", "2001973_01.jpg", "2001973_02.jpg", "2001973_03.jpg", "2001973_04.jpg", "2001973_05.jpg", "2001973_06.jpg", "2001973_07.jpg", "2001973_08.jpg", "2001973_09.jpg", "2001973_10.jpg", "2001973_11.jpg", "2001973_12.jpg", "2001973_13.jpg", "2001973_14.jpg", "2001973_15.jpg" ]
moving, animation, cinematic high wind speed
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001973.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 \"moving, animation, cinematic high wind speed\",\nall the frames of video are as 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" } ]
7002971
[ "7002971_00.jpg", "7002971_01.jpg", "7002971_02.jpg", "7002971_03.jpg", "7002971_04.jpg", "7002971_05.jpg", "7002971_06.jpg", "7002971_07.jpg" ]
The scene begins with profound darkness, representing primordial emptiness. Slowly, rays of light emerge, creating a mesmerizing cosmic dance. Darkness merges with light, and Chaos takes shape.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002971.mp4
2
2
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The scene begins with profound darkness, representing primordial emptiness. Slowly, rays of light emerge, creating a mesmerizing cosmic dance. Darkness merges with light, and Chaos takes shape.\",\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" } ]
0002168
[ "0002168_00.jpg", "0002168_01.jpg", "0002168_02.jpg", "0002168_03.jpg", "0002168_04.jpg", "0002168_05.jpg", "0002168_06.jpg", "0002168_07.jpg", "0002168_08.jpg", "0002168_09.jpg", "0002168_10.jpg", "0002168_11.jpg", "0002168_12.jpg", "0002168_13.jpg", "0002168_14.jpg", "0002168_15.jpg", "0002168_16.jpg", "0002168_17.jpg", "0002168_18.jpg", "0002168_19.jpg", "0002168_20.jpg", "0002168_21.jpg", "0002168_22.jpg", "0002168_23.jpg" ]
a 20 year old boy in Japanese anime sitting in a garden playing a guitar
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002168.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 20 year old boy in Japanese anime sitting in a garden playing a guitar\",\nall the 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" } ]
4000686
[ "4000686_00.jpg", "4000686_01.jpg", "4000686_02.jpg", "4000686_03.jpg", "4000686_04.jpg", "4000686_05.jpg", "4000686_06.jpg", "4000686_07.jpg", "4000686_08.jpg", "4000686_09.jpg", "4000686_10.jpg", "4000686_11.jpg", "4000686_12.jpg", "4000686_13.jpg", "4000686_14.jpg", "4000686_15.jpg" ]
A tranquil tableau of a bench
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000686.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 tranquil tableau of a bench\",\nall the frames of video are as 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" } ]
2001253
[ "2001253_00.jpg", "2001253_01.jpg", "2001253_02.jpg", "2001253_03.jpg", "2001253_04.jpg", "2001253_05.jpg", "2001253_06.jpg", "2001253_07.jpg", "2001253_08.jpg", "2001253_09.jpg", "2001253_10.jpg", "2001253_11.jpg", "2001253_12.jpg", "2001253_13.jpg", "2001253_14.jpg", "2001253_15.jpg" ]
People crowd is walking through the forest. golden hour. shot from a distance
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001253.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 \"People crowd is walking through the forest. golden hour. shot from a distance\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
4002551
[ "4002551_00.jpg", "4002551_01.jpg", "4002551_02.jpg", "4002551_03.jpg", "4002551_04.jpg", "4002551_05.jpg", "4002551_06.jpg", "4002551_07.jpg", "4002551_08.jpg", "4002551_09.jpg", "4002551_10.jpg", "4002551_11.jpg", "4002551_12.jpg", "4002551_13.jpg", "4002551_14.jpg", "4002551_15.jpg" ]
Toyota Camry driving in the forest, rain
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002551.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 \"Toyota Camry driving in the forest, rain\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
6001066
[ "6001066_00.jpg", "6001066_01.jpg", "6001066_02.jpg", "6001066_03.jpg", "6001066_04.jpg", "6001066_05.jpg", "6001066_06.jpg", "6001066_07.jpg", "6001066_08.jpg", "6001066_09.jpg", "6001066_10.jpg", "6001066_11.jpg", "6001066_12.jpg", "6001066_13.jpg", "6001066_14.jpg", "6001066_15.jpg" ]
Little Red Riding Hood worries about the big bad wolf
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001066.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 \"Little Red Riding Hood worries about the big bad wolf\",\nall the frames of video are as 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" } ]
3001137
[ "3001137_00.jpg", "3001137_01.jpg", "3001137_02.jpg", "3001137_03.jpg", "3001137_04.jpg", "3001137_05.jpg", "3001137_06.jpg", "3001137_07.jpg", "3001137_08.jpg", "3001137_09.jpg", "3001137_10.jpg", "3001137_11.jpg", "3001137_12.jpg", "3001137_13.jpg", "3001137_14.jpg", "3001137_15.jpg" ]
A prehistoric forest, with trees and dinosaurs. Realistic scene.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001137.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 prehistoric forest, with trees and dinosaurs. Realistic scene.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3001227
[ "3001227_00.jpg", "3001227_01.jpg", "3001227_02.jpg", "3001227_03.jpg", "3001227_04.jpg", "3001227_05.jpg", "3001227_06.jpg", "3001227_07.jpg", "3001227_08.jpg", "3001227_09.jpg", "3001227_10.jpg", "3001227_11.jpg", "3001227_12.jpg", "3001227_13.jpg", "3001227_14.jpg", "3001227_15.jpg" ]
a toothbrush on the left of a sink, front view
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001227.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 toothbrush on the left of a sink, front view\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
9000665
[ "9000665_00.jpg", "9000665_01.jpg", "9000665_02.jpg", "9000665_03.jpg", "9000665_04.jpg", "9000665_05.jpg", "9000665_06.jpg", "9000665_07.jpg", "9000665_08.jpg", "9000665_09.jpg", "9000665_10.jpg", "9000665_11.jpg", "9000665_12.jpg", "9000665_13.jpg", "9000665_14.jpg", "9000665_15.jpg", "9000665_16.jpg", "9000665_17.jpg", "9000665_18.jpg", "9000665_19.jpg", "9000665_20.jpg", "9000665_21.jpg", "9000665_22.jpg", "9000665_23.jpg" ]
From a tender age, the princess displayed an insatiable thirst for knowledge. Surrounded by books and scrolls, she eagerly absorbed every lesson her tutors imparted, her curiosity guiding her towards a deeper understanding of the world around her.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000665.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 \"From a tender age, the princess displayed an insatiable thirst for knowledge. Surrounded by books and scrolls, she eagerly absorbed every lesson her tutors imparted, her curiosity guiding her towards a deeper understanding of the world around her.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
7000669
[ "7000669_00.jpg", "7000669_01.jpg", "7000669_02.jpg", "7000669_03.jpg", "7000669_04.jpg", "7000669_05.jpg", "7000669_06.jpg", "7000669_07.jpg" ]
lonely man walking through the streets of Abasto, on a morning with cloudy skies, and no one around
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000669.mp4
2
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 \"lonely man walking through the streets of Abasto, on a morning with cloudy skies, and no one around\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
4001297
[ "4001297_00.jpg", "4001297_01.jpg", "4001297_02.jpg", "4001297_03.jpg", "4001297_04.jpg", "4001297_05.jpg", "4001297_06.jpg", "4001297_07.jpg", "4001297_08.jpg", "4001297_09.jpg", "4001297_10.jpg", "4001297_11.jpg", "4001297_12.jpg", "4001297_13.jpg", "4001297_14.jpg", "4001297_15.jpg" ]
cozy snowy village, ski lodges, pretty, heavy snow falling
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001297.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 \"cozy snowy village, ski lodges, pretty, heavy snow falling\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
0001303
[ "0001303_00.jpg", "0001303_01.jpg", "0001303_02.jpg", "0001303_03.jpg", "0001303_04.jpg", "0001303_05.jpg", "0001303_06.jpg", "0001303_07.jpg", "0001303_08.jpg", "0001303_09.jpg", "0001303_10.jpg", "0001303_11.jpg", "0001303_12.jpg", "0001303_13.jpg", "0001303_14.jpg", "0001303_15.jpg", "0001303_16.jpg", "0001303_17.jpg", "0001303_18.jpg", "0001303_19.jpg", "0001303_20.jpg", "0001303_21.jpg", "0001303_22.jpg", "0001303_23.jpg" ]
a person fireworks in Diwali, night time
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001303.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 person fireworks in Diwali, night time\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
1002230
[ "1002230_00.jpg", "1002230_01.jpg", "1002230_02.jpg", "1002230_03.jpg", "1002230_04.jpg", "1002230_05.jpg", "1002230_06.jpg", "1002230_07.jpg", "1002230_08.jpg", "1002230_09.jpg", "1002230_10.jpg", "1002230_11.jpg", "1002230_12.jpg", "1002230_13.jpg", "1002230_14.jpg", "1002230_15.jpg" ]
the bustling village of Navapura, nestled at the foot of the mighty Arjuna Mountains
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002230.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"the bustling village of Navapura, nestled at the foot of the mighty Arjuna Mountains\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2002361
[ "2002361_00.jpg", "2002361_01.jpg", "2002361_02.jpg", "2002361_03.jpg", "2002361_04.jpg", "2002361_05.jpg", "2002361_06.jpg", "2002361_07.jpg", "2002361_08.jpg", "2002361_09.jpg", "2002361_10.jpg", "2002361_11.jpg", "2002361_12.jpg", "2002361_13.jpg", "2002361_14.jpg", "2002361_15.jpg" ]
The Magical Adventures of Luna the Llama
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002361.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The Magical Adventures of Luna the Llama\",\nall the frames of video are as 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" } ]
6003157
[ "6003157_00.jpg", "6003157_01.jpg", "6003157_02.jpg", "6003157_03.jpg", "6003157_04.jpg", "6003157_05.jpg", "6003157_06.jpg", "6003157_07.jpg", "6003157_08.jpg", "6003157_09.jpg", "6003157_10.jpg", "6003157_11.jpg", "6003157_12.jpg", "6003157_13.jpg", "6003157_14.jpg", "6003157_15.jpg" ]
social media users on their phones and computers, modern and artistic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003157.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 \"social media users on their phones and computers, modern and artistic\",\nall the frames of video are as 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" } ]
2000350
[ "2000350_00.jpg", "2000350_01.jpg", "2000350_02.jpg", "2000350_03.jpg", "2000350_04.jpg", "2000350_05.jpg", "2000350_06.jpg", "2000350_07.jpg", "2000350_08.jpg", "2000350_09.jpg", "2000350_10.jpg", "2000350_11.jpg", "2000350_12.jpg", "2000350_13.jpg", "2000350_14.jpg", "2000350_15.jpg" ]
their collective despair and surrender to numbness
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000350.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 \"their collective despair and surrender to numbness\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
1001922
[ "1001922_00.jpg", "1001922_01.jpg", "1001922_02.jpg", "1001922_03.jpg", "1001922_04.jpg", "1001922_05.jpg", "1001922_06.jpg", "1001922_07.jpg", "1001922_08.jpg", "1001922_09.jpg", "1001922_10.jpg", "1001922_11.jpg", "1001922_12.jpg", "1001922_13.jpg", "1001922_14.jpg", "1001922_15.jpg" ]
create an image of wildlife in the savanna
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001922.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 \"create an image of wildlife in the savanna\",\nall the frames of video are as 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" } ]
1000270
[ "1000270_00.jpg", "1000270_01.jpg", "1000270_02.jpg", "1000270_03.jpg", "1000270_04.jpg", "1000270_05.jpg", "1000270_06.jpg", "1000270_07.jpg", "1000270_08.jpg", "1000270_09.jpg", "1000270_10.jpg", "1000270_11.jpg", "1000270_12.jpg", "1000270_13.jpg", "1000270_14.jpg", "1000270_15.jpg" ]
Show the anatomy of a human body and show the functioning organs
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000270.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 \"Show the anatomy of a human body and show the functioning organs\",\nall the frames of video are as 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" } ]
7002903
[ "7002903_00.jpg", "7002903_01.jpg", "7002903_02.jpg", "7002903_03.jpg", "7002903_04.jpg", "7002903_05.jpg", "7002903_06.jpg", "7002903_07.jpg" ]
Eliza began her magical journey by taking small steps towards her dream each day. She educated herself on business strategies and sought out mentors who could guide her along the way. Whenever she faced a challenge, she would look into her crystal ball, and it would show her the way forward.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002903.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 \"Eliza began her magical journey by taking small steps towards her dream each day. She educated herself on business strategies and sought out mentors who could guide her along the way. Whenever she faced a challenge, she would look into her crystal ball, and it would show her the way forward.\",\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" } ]
6002721
[ "6002721_00.jpg", "6002721_01.jpg", "6002721_02.jpg", "6002721_03.jpg", "6002721_04.jpg", "6002721_05.jpg", "6002721_06.jpg", "6002721_07.jpg", "6002721_08.jpg", "6002721_09.jpg", "6002721_10.jpg", "6002721_11.jpg", "6002721_12.jpg", "6002721_13.jpg", "6002721_14.jpg", "6002721_15.jpg" ]
a man made of fire is dancing hip hop so fast , colorful
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002721.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 man made of fire is dancing hip hop so fast , colorful\",\nall the frames of video are as 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" } ]
s000859
[ "s000859_00.jpg", "s000859_01.jpg", "s000859_02.jpg", "s000859_03.jpg", "s000859_04.jpg", "s000859_05.jpg", "s000859_06.jpg", "s000859_07.jpg", "s000859_08.jpg", "s000859_09.jpg", "s000859_10.jpg", "s000859_11.jpg", "s000859_12.jpg", "s000859_13.jpg", "s000859_14.jpg", "s000859_15.jpg", "s000859_16.jpg", "s000859_17.jpg", "s000859_18.jpg", "s000859_19.jpg", "s000859_20.jpg", "s000859_21.jpg", "s000859_22.jpg", "s000859_23.jpg" ]
full screen video of a waving nigerian flag, disney style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000859.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 \"full screen video of a waving nigerian flag, disney style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n" } ]