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
2001011
[ "2001011_00.jpg", "2001011_01.jpg", "2001011_02.jpg", "2001011_03.jpg", "2001011_04.jpg", "2001011_05.jpg", "2001011_06.jpg", "2001011_07.jpg", "2001011_08.jpg", "2001011_09.jpg", "2001011_10.jpg", "2001011_11.jpg", "2001011_12.jpg", "2001011_13.jpg", "2001011_14.jpg", "2001011_15.jpg" ]
fractal whirlwind of quantum ambiguity, hyperdetailed, Victorian
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001011.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 \"fractal whirlwind of quantum ambiguity, hyperdetailed, Victorian\",\nall the frames of video are as 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" } ]
3005767
[ "3005767_00.jpg", "3005767_01.jpg", "3005767_02.jpg", "3005767_03.jpg", "3005767_04.jpg", "3005767_05.jpg", "3005767_06.jpg", "3005767_07.jpg", "3005767_08.jpg", "3005767_09.jpg", "3005767_10.jpg", "3005767_11.jpg", "3005767_12.jpg", "3005767_13.jpg", "3005767_14.jpg", "3005767_15.jpg" ]
a bicycle and an airplane
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005767.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 bicycle and an airplane\",\nall the frames of video are as 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" } ]
2005508
[ "2005508_00.jpg", "2005508_01.jpg", "2005508_02.jpg", "2005508_03.jpg", "2005508_04.jpg", "2005508_05.jpg", "2005508_06.jpg", "2005508_07.jpg", "2005508_08.jpg", "2005508_09.jpg", "2005508_10.jpg", "2005508_11.jpg", "2005508_12.jpg", "2005508_13.jpg", "2005508_14.jpg", "2005508_15.jpg" ]
Two strangers dressed in black stand opposite each other while having a conversation
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005508.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 \"Two strangers dressed in black stand opposite each other while having a conversation\",\nall the frames of video are as 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" } ]
6001133
[ "6001133_00.jpg", "6001133_01.jpg", "6001133_02.jpg", "6001133_03.jpg", "6001133_04.jpg", "6001133_05.jpg", "6001133_06.jpg", "6001133_07.jpg", "6001133_08.jpg", "6001133_09.jpg", "6001133_10.jpg", "6001133_11.jpg", "6001133_12.jpg", "6001133_13.jpg", "6001133_14.jpg", "6001133_15.jpg" ]
luxury villa with infinity pool, panoramic windows and ocean views with illuminated palm trees
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001133.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 \"luxury villa with infinity pool, panoramic windows and ocean views with illuminated palm trees\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
8000322
[ "8000322_00.jpg", "8000322_01.jpg", "8000322_02.jpg", "8000322_03.jpg", "8000322_04.jpg", "8000322_05.jpg", "8000322_06.jpg", "8000322_07.jpg", "8000322_08.jpg", "8000322_09.jpg", "8000322_10.jpg", "8000322_11.jpg", "8000322_12.jpg", "8000322_13.jpg", "8000322_14.jpg", "8000322_15.jpg", "8000322_16.jpg", "8000322_17.jpg", "8000322_18.jpg", "8000322_19.jpg", "8000322_20.jpg", "8000322_21.jpg", "8000322_22.jpg", "8000322_23.jpg" ]
a happy beautiful princess in a white gown holding hand of a happy handsome prince wearing white Royal attire standing in a castle balcony
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000322.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 happy beautiful princess in a white gown holding hand of a happy handsome prince wearing white Royal attire standing in a castle balcony\",\nall the 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" } ]
7004009
[ "7004009_00.jpg", "7004009_01.jpg", "7004009_02.jpg", "7004009_03.jpg", "7004009_04.jpg", "7004009_05.jpg", "7004009_06.jpg", "7004009_07.jpg" ]
a huge room filled with infinite doorways and walls that slowly pulsate and grow
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004009.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 huge room filled with infinite doorways and walls that slowly pulsate and grow\",\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: 3\n" } ]
2000177
[ "2000177_00.jpg", "2000177_01.jpg", "2000177_02.jpg", "2000177_03.jpg", "2000177_04.jpg", "2000177_05.jpg", "2000177_06.jpg", "2000177_07.jpg", "2000177_08.jpg", "2000177_09.jpg", "2000177_10.jpg", "2000177_11.jpg", "2000177_12.jpg", "2000177_13.jpg", "2000177_14.jpg", "2000177_15.jpg" ]
Slow motion video of a clay pot shattering against a concrete wall if thrown
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000177.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 \"Slow motion video of a clay pot shattering against a concrete wall if thrown\",\nall the frames of video are as 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" } ]
0002157
[ "0002157_00.jpg", "0002157_01.jpg", "0002157_02.jpg", "0002157_03.jpg", "0002157_04.jpg", "0002157_05.jpg", "0002157_06.jpg", "0002157_07.jpg", "0002157_08.jpg", "0002157_09.jpg", "0002157_10.jpg", "0002157_11.jpg", "0002157_12.jpg", "0002157_13.jpg", "0002157_14.jpg", "0002157_15.jpg", "0002157_16.jpg", "0002157_17.jpg", "0002157_18.jpg", "0002157_19.jpg", "0002157_20.jpg", "0002157_21.jpg", "0002157_22.jpg", "0002157_23.jpg" ]
a man opening a gift with a table inside, digital art
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002157.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 man opening a gift with a table inside, digital art\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
0002760
[ "0002760_00.jpg", "0002760_01.jpg", "0002760_02.jpg", "0002760_03.jpg", "0002760_04.jpg", "0002760_05.jpg", "0002760_06.jpg", "0002760_07.jpg", "0002760_08.jpg", "0002760_09.jpg", "0002760_10.jpg", "0002760_11.jpg", "0002760_12.jpg", "0002760_13.jpg", "0002760_14.jpg", "0002760_15.jpg", "0002760_16.jpg", "0002760_17.jpg", "0002760_18.jpg", "0002760_19.jpg", "0002760_20.jpg", "0002760_21.jpg", "0002760_22.jpg", "0002760_23.jpg" ]
Dynamic images of the epic confrontation, capturing the intensity of the final showdown with rifles and guns. Realistic colorful vibrate
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002760.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 \"Dynamic images of the epic confrontation, capturing the intensity of the final showdown with rifles and guns. Realistic colorful vibrate\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
9000805
[ "9000805_00.jpg", "9000805_01.jpg", "9000805_02.jpg", "9000805_03.jpg", "9000805_04.jpg", "9000805_05.jpg", "9000805_06.jpg", "9000805_07.jpg", "9000805_08.jpg", "9000805_09.jpg", "9000805_10.jpg", "9000805_11.jpg", "9000805_12.jpg", "9000805_13.jpg", "9000805_14.jpg", "9000805_15.jpg", "9000805_16.jpg", "9000805_17.jpg", "9000805_18.jpg", "9000805_19.jpg", "9000805_20.jpg", "9000805_21.jpg", "9000805_22.jpg", "9000805_23.jpg" ]
I want a distinctive Islamic background that talks about contemporary events of the Messenger of God, may God bless him and grant him peace, that highlight the greatness and beauty of Islam I want the background without any logo
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000805.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 \"I want a distinctive Islamic background that talks about contemporary events of the Messenger of God, may God bless him and grant him peace, that highlight the greatness and beauty of Islam\nI want the background without any logo\",\nall the 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" } ]
3003822
[ "3003822_00.jpg", "3003822_01.jpg", "3003822_02.jpg", "3003822_03.jpg", "3003822_04.jpg", "3003822_05.jpg", "3003822_06.jpg", "3003822_07.jpg", "3003822_08.jpg", "3003822_09.jpg", "3003822_10.jpg", "3003822_11.jpg", "3003822_12.jpg", "3003822_13.jpg", "3003822_14.jpg", "3003822_15.jpg" ]
spectacular movements of jellyfish on a reef under moonlight, many transparent colors, 8k, sharp, vibrant colors, cinematic, cinematic focus
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3003822.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 \"spectacular movements of jellyfish on a reef under moonlight, many transparent colors, 8k, sharp, vibrant colors, cinematic, cinematic focus\",\nall the frames of video are as 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" } ]
3001631
[ "3001631_00.jpg", "3001631_01.jpg", "3001631_02.jpg", "3001631_03.jpg", "3001631_04.jpg", "3001631_05.jpg", "3001631_06.jpg", "3001631_07.jpg", "3001631_08.jpg", "3001631_09.jpg", "3001631_10.jpg", "3001631_11.jpg", "3001631_12.jpg", "3001631_13.jpg", "3001631_14.jpg", "3001631_15.jpg" ]
3D Hyper realistic fantasy style of beautiful pale skinned lady dryad dressed in green robes and tunic with long curly red hair in ringlets falling over her shoulder with emerald green eyes
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001631.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 \"3D Hyper realistic fantasy style of beautiful pale skinned lady dryad dressed in green robes and tunic with long curly red hair in ringlets falling over her shoulder with emerald green eyes\",\nall the frames of video are as 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" } ]
7001398
[ "7001398_00.jpg", "7001398_01.jpg", "7001398_02.jpg", "7001398_03.jpg", "7001398_04.jpg", "7001398_05.jpg", "7001398_06.jpg", "7001398_07.jpg" ]
a car stopping on a road then another car crashing into it
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001398.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 car stopping on a road then another car crashing into it\",\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" } ]
4001746
[ "4001746_00.jpg", "4001746_01.jpg", "4001746_02.jpg", "4001746_03.jpg", "4001746_04.jpg", "4001746_05.jpg", "4001746_06.jpg", "4001746_07.jpg", "4001746_08.jpg", "4001746_09.jpg", "4001746_10.jpg", "4001746_11.jpg", "4001746_12.jpg", "4001746_13.jpg", "4001746_14.jpg", "4001746_15.jpg" ]
alion wake up angry and looking at mouse
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001746.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 \"alion wake up angry and looking at mouse\",\nall the frames of video are as 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" } ]
9000364
[ "9000364_00.jpg", "9000364_01.jpg", "9000364_02.jpg", "9000364_03.jpg", "9000364_04.jpg", "9000364_05.jpg", "9000364_06.jpg", "9000364_07.jpg", "9000364_08.jpg", "9000364_09.jpg", "9000364_10.jpg", "9000364_11.jpg", "9000364_12.jpg", "9000364_13.jpg", "9000364_14.jpg", "9000364_15.jpg", "9000364_16.jpg", "9000364_17.jpg", "9000364_18.jpg", "9000364_19.jpg", "9000364_20.jpg", "9000364_21.jpg", "9000364_22.jpg", "9000364_23.jpg" ]
injured wolf and a young movie scene
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000364.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 \"injured wolf and a young movie 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> <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" } ]
4000513
[ "4000513_00.jpg", "4000513_01.jpg", "4000513_02.jpg", "4000513_03.jpg", "4000513_04.jpg", "4000513_05.jpg", "4000513_06.jpg", "4000513_07.jpg", "4000513_08.jpg", "4000513_09.jpg", "4000513_10.jpg", "4000513_11.jpg", "4000513_12.jpg", "4000513_13.jpg", "4000513_14.jpg", "4000513_15.jpg" ]
A Jungle Scene Show a lush green jungle setting with tall trees and various animals like elephants, rabbits, birds, and a small boy named Raj exploring.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000513.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 Jungle Scene\n\nShow a lush green jungle setting with tall trees and various animals like elephants, rabbits, birds, and a small boy named Raj exploring.\",\nall the frames of video are as 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" } ]
0005023
[ "0005023_00.jpg", "0005023_01.jpg", "0005023_02.jpg", "0005023_03.jpg", "0005023_04.jpg", "0005023_05.jpg", "0005023_06.jpg", "0005023_07.jpg", "0005023_08.jpg", "0005023_09.jpg", "0005023_10.jpg", "0005023_11.jpg", "0005023_12.jpg", "0005023_13.jpg", "0005023_14.jpg", "0005023_15.jpg", "0005023_16.jpg", "0005023_17.jpg", "0005023_18.jpg", "0005023_19.jpg", "0005023_20.jpg", "0005023_21.jpg", "0005023_22.jpg", "0005023_23.jpg" ]
hamburgers began to be served on a bun.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005023.mp4
3
2
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"hamburgers began to be served on a bun.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
7001934
[ "7001934_00.jpg", "7001934_01.jpg", "7001934_02.jpg", "7001934_03.jpg", "7001934_04.jpg", "7001934_05.jpg", "7001934_06.jpg", "7001934_07.jpg" ]
at a rave party, Jesus punches Santa Claus. Around them people dance and lights beam.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001934.mp4
2
1
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"at a rave party, Jesus punches Santa Claus. Around them people dance and lights beam.\",\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: 3\n" } ]
2002703
[ "2002703_00.jpg", "2002703_01.jpg", "2002703_02.jpg", "2002703_03.jpg", "2002703_04.jpg", "2002703_05.jpg", "2002703_06.jpg", "2002703_07.jpg", "2002703_08.jpg", "2002703_09.jpg", "2002703_10.jpg", "2002703_11.jpg", "2002703_12.jpg", "2002703_13.jpg", "2002703_14.jpg", "2002703_15.jpg" ]
the hero say hi on the 2nd floor of the butiful building
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002703.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 hero say hi on the 2nd floor of the butiful building\",\nall the frames of video are as 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" } ]
5000599
[ "5000599_00.jpg", "5000599_01.jpg", "5000599_02.jpg", "5000599_03.jpg", "5000599_04.jpg", "5000599_05.jpg", "5000599_06.jpg", "5000599_07.jpg", "5000599_08.jpg", "5000599_09.jpg", "5000599_10.jpg", "5000599_11.jpg", "5000599_12.jpg", "5000599_13.jpg", "5000599_14.jpg", "5000599_15.jpg" ]
robot falling into pieces, shattering, cyber city background neon lights
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000599.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 \"robot falling into pieces, shattering, cyber city background neon lights\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
6000329
[ "6000329_00.jpg", "6000329_01.jpg", "6000329_02.jpg", "6000329_03.jpg", "6000329_04.jpg", "6000329_05.jpg", "6000329_06.jpg", "6000329_07.jpg", "6000329_08.jpg", "6000329_09.jpg", "6000329_10.jpg", "6000329_11.jpg", "6000329_12.jpg", "6000329_13.jpg", "6000329_14.jpg", "6000329_15.jpg" ]
the birth of Venus rising from water in the style of surrealism cyberpunk
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000329.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"the birth of Venus rising from water in the style of surrealism cyberpunk\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3001501
[ "3001501_00.jpg", "3001501_01.jpg", "3001501_02.jpg", "3001501_03.jpg", "3001501_04.jpg", "3001501_05.jpg", "3001501_06.jpg", "3001501_07.jpg", "3001501_08.jpg", "3001501_09.jpg", "3001501_10.jpg", "3001501_11.jpg", "3001501_12.jpg", "3001501_13.jpg", "3001501_14.jpg", "3001501_15.jpg" ]
a man holding a bread running to work
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001501.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 man holding a bread running to work\",\nall the frames of video are as 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" } ]
2001221
[ "2001221_00.jpg", "2001221_01.jpg", "2001221_02.jpg", "2001221_03.jpg", "2001221_04.jpg", "2001221_05.jpg", "2001221_06.jpg", "2001221_07.jpg", "2001221_08.jpg", "2001221_09.jpg", "2001221_10.jpg", "2001221_11.jpg", "2001221_12.jpg", "2001221_13.jpg", "2001221_14.jpg", "2001221_15.jpg" ]
a man walking in a dark foggy street, english houses style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001221.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 walking in a dark foggy street, english houses style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
0006966
[ "0006966_00.jpg", "0006966_01.jpg", "0006966_02.jpg", "0006966_03.jpg", "0006966_04.jpg", "0006966_05.jpg", "0006966_06.jpg", "0006966_07.jpg", "0006966_08.jpg", "0006966_09.jpg", "0006966_10.jpg", "0006966_11.jpg", "0006966_12.jpg", "0006966_13.jpg", "0006966_14.jpg", "0006966_15.jpg", "0006966_16.jpg", "0006966_17.jpg", "0006966_18.jpg", "0006966_19.jpg", "0006966_20.jpg", "0006966_21.jpg", "0006966_22.jpg", "0006966_23.jpg" ]
RAW, professional, 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3, realistic, best quality, masterpiece, detailed, slow motion orb, (beyond the black rainbow movie) A wizard pondering their orb, slouching back in their chair, bright blue light enveloping the room
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006966.mp4
2
3
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"RAW, professional, 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3, realistic, best quality, masterpiece, detailed, slow motion orb, (beyond the black rainbow movie) A wizard pondering their orb, slouching back in their chair, bright blue light enveloping the room\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3003976
[ "3003976_00.jpg", "3003976_01.jpg", "3003976_02.jpg", "3003976_03.jpg", "3003976_04.jpg", "3003976_05.jpg", "3003976_06.jpg", "3003976_07.jpg", "3003976_08.jpg", "3003976_09.jpg", "3003976_10.jpg", "3003976_11.jpg", "3003976_12.jpg", "3003976_13.jpg", "3003976_14.jpg", "3003976_15.jpg" ]
group of designers working at the white office, one of them with bear pointing at computer
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3003976.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 \"group of designers working at the white office, one of them with bear pointing at computer\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0002787
[ "0002787_00.jpg", "0002787_01.jpg", "0002787_02.jpg", "0002787_03.jpg", "0002787_04.jpg", "0002787_05.jpg", "0002787_06.jpg", "0002787_07.jpg", "0002787_08.jpg", "0002787_09.jpg", "0002787_10.jpg", "0002787_11.jpg", "0002787_12.jpg", "0002787_13.jpg", "0002787_14.jpg", "0002787_15.jpg", "0002787_16.jpg", "0002787_17.jpg", "0002787_18.jpg", "0002787_19.jpg", "0002787_20.jpg", "0002787_21.jpg", "0002787_22.jpg", "0002787_23.jpg" ]
A steam train moving on a mountainside
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002787.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 \"A steam train moving on a mountainside\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1003753
[ "1003753_00.jpg", "1003753_01.jpg", "1003753_02.jpg", "1003753_03.jpg", "1003753_04.jpg", "1003753_05.jpg", "1003753_06.jpg", "1003753_07.jpg", "1003753_08.jpg", "1003753_09.jpg", "1003753_10.jpg", "1003753_11.jpg", "1003753_12.jpg", "1003753_13.jpg", "1003753_14.jpg", "1003753_15.jpg" ]
orange landscape, full moon, ocean, relaxing
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003753.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 \"orange landscape, full moon, ocean, relaxing\",\nall the frames of video are as 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" } ]
2002597
[ "2002597_00.jpg", "2002597_01.jpg", "2002597_02.jpg", "2002597_03.jpg", "2002597_04.jpg", "2002597_05.jpg", "2002597_06.jpg", "2002597_07.jpg", "2002597_08.jpg", "2002597_09.jpg", "2002597_10.jpg", "2002597_11.jpg", "2002597_12.jpg", "2002597_13.jpg", "2002597_14.jpg", "2002597_15.jpg" ]
No prompt
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002597.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 \"No prompt\",\nall the frames of video are as 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" } ]
5001230
[ "5001230_00.jpg", "5001230_01.jpg", "5001230_02.jpg", "5001230_03.jpg", "5001230_04.jpg", "5001230_05.jpg", "5001230_06.jpg", "5001230_07.jpg", "5001230_08.jpg", "5001230_09.jpg", "5001230_10.jpg", "5001230_11.jpg", "5001230_12.jpg", "5001230_13.jpg", "5001230_14.jpg", "5001230_15.jpg" ]
someone drinking coffee in a dark alley
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001230.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 \"someone drinking coffee in a dark alley\",\nall the frames of video are as 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" } ]
4000516
[ "4000516_00.jpg", "4000516_01.jpg", "4000516_02.jpg", "4000516_03.jpg", "4000516_04.jpg", "4000516_05.jpg", "4000516_06.jpg", "4000516_07.jpg", "4000516_08.jpg", "4000516_09.jpg", "4000516_10.jpg", "4000516_11.jpg", "4000516_12.jpg", "4000516_13.jpg", "4000516_14.jpg", "4000516_15.jpg" ]
old 1942 sepia film found footage of a star wars stormtrooper in world war ii
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000516.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 \"old 1942 sepia film found footage of a star wars stormtrooper in world war ii\",\nall the frames of video are as 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" } ]
1004244
[ "1004244_00.jpg", "1004244_01.jpg", "1004244_02.jpg", "1004244_03.jpg", "1004244_04.jpg", "1004244_05.jpg", "1004244_06.jpg", "1004244_07.jpg", "1004244_08.jpg", "1004244_09.jpg", "1004244_10.jpg", "1004244_11.jpg", "1004244_12.jpg", "1004244_13.jpg", "1004244_14.jpg", "1004244_15.jpg" ]
a tennis stadium before a tennis match in wembeldon. in 8k realisting in medium light
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004244.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 tennis stadium before a tennis match in wembeldon. in 8k realisting in medium light\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
5001607
[ "5001607_00.jpg", "5001607_01.jpg", "5001607_02.jpg", "5001607_03.jpg", "5001607_04.jpg", "5001607_05.jpg", "5001607_06.jpg", "5001607_07.jpg", "5001607_08.jpg", "5001607_09.jpg", "5001607_10.jpg", "5001607_11.jpg", "5001607_12.jpg", "5001607_13.jpg", "5001607_14.jpg", "5001607_15.jpg" ]
elf shifting gears in the racing car at night
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001607.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 \"elf shifting gears in the racing car 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: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2005887
[ "2005887_00.jpg", "2005887_01.jpg", "2005887_02.jpg", "2005887_03.jpg", "2005887_04.jpg", "2005887_05.jpg", "2005887_06.jpg", "2005887_07.jpg", "2005887_08.jpg", "2005887_09.jpg", "2005887_10.jpg", "2005887_11.jpg", "2005887_12.jpg", "2005887_13.jpg", "2005887_14.jpg", "2005887_15.jpg" ]
A pair of black trousers, the legs rolled up, at the base of the thigh, suddenly dropped, without a wrinkle, smooth, straight
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005887.mp4
2
3
2
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A pair of black trousers, the legs rolled up, at the base of the thigh, suddenly dropped, without a wrinkle, smooth, straight\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1005159
[ "1005159_00.jpg", "1005159_01.jpg", "1005159_02.jpg", "1005159_03.jpg", "1005159_04.jpg", "1005159_05.jpg", "1005159_06.jpg", "1005159_07.jpg", "1005159_08.jpg", "1005159_09.jpg", "1005159_10.jpg", "1005159_11.jpg", "1005159_12.jpg", "1005159_13.jpg", "1005159_14.jpg", "1005159_15.jpg" ]
the hairist person alive cartoon style wild and colorful
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005159.mp4
1
1
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"the hairist person alive cartoon style wild and 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: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3001155
[ "3001155_00.jpg", "3001155_01.jpg", "3001155_02.jpg", "3001155_03.jpg", "3001155_04.jpg", "3001155_05.jpg", "3001155_06.jpg", "3001155_07.jpg", "3001155_08.jpg", "3001155_09.jpg", "3001155_10.jpg", "3001155_11.jpg", "3001155_12.jpg", "3001155_13.jpg", "3001155_14.jpg", "3001155_15.jpg" ]
Cats fly and make funny faces, they have hats from Mexico on their heads and they move their eyes a lot and they have bags and they have funny faces.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001155.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 \"Cats fly and make funny faces, they have hats from Mexico on their heads and they move their eyes a lot and they have bags and they have funny faces.\",\nall the frames of video are as 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" } ]
2001768
[ "2001768_00.jpg", "2001768_01.jpg", "2001768_02.jpg", "2001768_03.jpg", "2001768_04.jpg", "2001768_05.jpg", "2001768_06.jpg", "2001768_07.jpg", "2001768_08.jpg", "2001768_09.jpg", "2001768_10.jpg", "2001768_11.jpg", "2001768_12.jpg", "2001768_13.jpg", "2001768_14.jpg", "2001768_15.jpg" ]
Max dancing on the reception floor, surrounded by delighted guests, capturing the joy and lightheartedness he brought to the celebration.Animated cartoon
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001768.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 \"Max dancing on the reception floor, surrounded by delighted guests, capturing the joy and lightheartedness he brought to the celebration.Animated 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: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6001521
[ "6001521_00.jpg", "6001521_01.jpg", "6001521_02.jpg", "6001521_03.jpg", "6001521_04.jpg", "6001521_05.jpg", "6001521_06.jpg", "6001521_07.jpg", "6001521_08.jpg", "6001521_09.jpg", "6001521_10.jpg", "6001521_11.jpg", "6001521_12.jpg", "6001521_13.jpg", "6001521_14.jpg", "6001521_15.jpg" ]
hot dogs dancing in the wind
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001521.mp4
1
2
2
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"hot dogs dancing in the wind\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2001423
[ "2001423_00.jpg", "2001423_01.jpg", "2001423_02.jpg", "2001423_03.jpg", "2001423_04.jpg", "2001423_05.jpg", "2001423_06.jpg", "2001423_07.jpg", "2001423_08.jpg", "2001423_09.jpg", "2001423_10.jpg", "2001423_11.jpg", "2001423_12.jpg", "2001423_13.jpg", "2001423_14.jpg", "2001423_15.jpg" ]
a poor boy with worn out cloths ,realistic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001423.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 poor boy with worn out cloths ,realistic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
0002314
[ "0002314_00.jpg", "0002314_01.jpg", "0002314_02.jpg", "0002314_03.jpg", "0002314_04.jpg", "0002314_05.jpg", "0002314_06.jpg", "0002314_07.jpg", "0002314_08.jpg", "0002314_09.jpg", "0002314_10.jpg", "0002314_11.jpg", "0002314_12.jpg", "0002314_13.jpg", "0002314_14.jpg", "0002314_15.jpg", "0002314_16.jpg", "0002314_17.jpg", "0002314_18.jpg", "0002314_19.jpg", "0002314_20.jpg", "0002314_21.jpg", "0002314_22.jpg", "0002314_23.jpg" ]
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002314.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 \"\",\nall the 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" } ]
7004597
[ "7004597_00.jpg", "7004597_01.jpg", "7004597_02.jpg", "7004597_03.jpg", "7004597_04.jpg", "7004597_05.jpg", "7004597_06.jpg", "7004597_07.jpg" ]
Spiderman Scene 1: You start the day in bed, with a bored expression on your face
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004597.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 \"Spiderman Scene 1: You start the day in bed, with a bored expression on your face\",\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" } ]
5000244
[ "5000244_00.jpg", "5000244_01.jpg", "5000244_02.jpg", "5000244_03.jpg", "5000244_04.jpg", "5000244_05.jpg", "5000244_06.jpg", "5000244_07.jpg", "5000244_08.jpg", "5000244_09.jpg", "5000244_10.jpg", "5000244_11.jpg", "5000244_12.jpg", "5000244_13.jpg", "5000244_14.jpg", "5000244_15.jpg" ]
Two swans swim leisurely in the river
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000244.mp4
3
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Two swans swim leisurely in the river\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6000374
[ "6000374_00.jpg", "6000374_01.jpg", "6000374_02.jpg", "6000374_03.jpg", "6000374_04.jpg", "6000374_05.jpg", "6000374_06.jpg", "6000374_07.jpg", "6000374_08.jpg", "6000374_09.jpg", "6000374_10.jpg", "6000374_11.jpg", "6000374_12.jpg", "6000374_13.jpg", "6000374_14.jpg", "6000374_15.jpg" ]
Forest, morning, sunlight casting in between the trees, foggy with ice . Royal on Ice
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000374.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Forest, morning, sunlight casting in between the trees, foggy with ice . Royal on Ice\",\nall the frames of video are as 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" } ]
1000043
[ "1000043_00.jpg", "1000043_01.jpg", "1000043_02.jpg", "1000043_03.jpg", "1000043_04.jpg", "1000043_05.jpg", "1000043_06.jpg", "1000043_07.jpg", "1000043_08.jpg", "1000043_09.jpg", "1000043_10.jpg", "1000043_11.jpg", "1000043_12.jpg", "1000043_13.jpg", "1000043_14.jpg", "1000043_15.jpg" ]
create a tesla driving on a road
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000043.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"create a tesla driving on a road\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
4002019
[ "4002019_00.jpg", "4002019_01.jpg", "4002019_02.jpg", "4002019_03.jpg", "4002019_04.jpg", "4002019_05.jpg", "4002019_06.jpg", "4002019_07.jpg", "4002019_08.jpg", "4002019_09.jpg", "4002019_10.jpg", "4002019_11.jpg", "4002019_12.jpg", "4002019_13.jpg", "4002019_14.jpg", "4002019_15.jpg" ]
create a highly graphical video in space where humans are fighting along side with robots against aliens through space crafts and weapons
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002019.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 \"create a highly graphical video in space where humans are fighting along side with robots against aliens through space crafts and weapons\",\nall the frames of video are as 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" } ]
3006844
[ "3006844_00.jpg", "3006844_01.jpg", "3006844_02.jpg", "3006844_03.jpg", "3006844_04.jpg", "3006844_05.jpg", "3006844_06.jpg", "3006844_07.jpg", "3006844_08.jpg", "3006844_09.jpg", "3006844_10.jpg", "3006844_11.jpg", "3006844_12.jpg", "3006844_13.jpg", "3006844_14.jpg", "3006844_15.jpg" ]
An Egyptian desert and an ancient Egyptian city, pixar style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006844.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 \"An Egyptian desert and an ancient Egyptian city, pixar style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1003642
[ "1003642_00.jpg", "1003642_01.jpg", "1003642_02.jpg", "1003642_03.jpg", "1003642_04.jpg", "1003642_05.jpg", "1003642_06.jpg", "1003642_07.jpg", "1003642_08.jpg", "1003642_09.jpg", "1003642_10.jpg", "1003642_11.jpg", "1003642_12.jpg", "1003642_13.jpg", "1003642_14.jpg", "1003642_15.jpg" ]
On modern streets, there is an ancient Chinese dragon hovering in the sky, creating a panoramic view
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003642.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 \"On modern streets, there is an ancient Chinese dragon hovering in the sky, creating a panoramic 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: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
s000135
[ "s000135_00.jpg", "s000135_01.jpg", "s000135_02.jpg", "s000135_03.jpg", "s000135_04.jpg", "s000135_05.jpg", "s000135_06.jpg", "s000135_07.jpg", "s000135_08.jpg", "s000135_09.jpg", "s000135_10.jpg", "s000135_11.jpg", "s000135_12.jpg", "s000135_13.jpg", "s000135_14.jpg", "s000135_15.jpg", "s000135_16.jpg", "s000135_17.jpg", "s000135_18.jpg", "s000135_19.jpg" ]
video game character vomiting rainbows, dancing in multicolor smoke explosion, disco party
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000135.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 game character vomiting rainbows, dancing in multicolor smoke explosion, disco party\",\nall the 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" } ]
2004003
[ "2004003_00.jpg", "2004003_01.jpg", "2004003_02.jpg", "2004003_03.jpg", "2004003_04.jpg", "2004003_05.jpg", "2004003_06.jpg", "2004003_07.jpg", "2004003_08.jpg", "2004003_09.jpg", "2004003_10.jpg", "2004003_11.jpg", "2004003_12.jpg", "2004003_13.jpg", "2004003_14.jpg", "2004003_15.jpg" ]
create a logo for LFD LFD Triathlon Club ,Pushing Limits, Embracing Passion
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004003.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 \"create a logo for LFD LFD Triathlon Club ,Pushing Limits, Embracing Passion\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1000037
[ "1000037_00.jpg", "1000037_01.jpg", "1000037_02.jpg", "1000037_03.jpg", "1000037_04.jpg", "1000037_05.jpg", "1000037_06.jpg", "1000037_07.jpg", "1000037_08.jpg", "1000037_09.jpg", "1000037_10.jpg", "1000037_11.jpg", "1000037_12.jpg", "1000037_13.jpg", "1000037_14.jpg", "1000037_15.jpg" ]
China has taken over planet earth
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000037.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 \"China has taken over planet earth\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3004048
[ "3004048_00.jpg", "3004048_01.jpg", "3004048_02.jpg", "3004048_03.jpg", "3004048_04.jpg", "3004048_05.jpg", "3004048_06.jpg", "3004048_07.jpg", "3004048_08.jpg", "3004048_09.jpg", "3004048_10.jpg", "3004048_11.jpg", "3004048_12.jpg", "3004048_13.jpg", "3004048_14.jpg", "3004048_15.jpg" ]
video rain in tokyo , girl walking in the rain
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004048.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 \"video rain in tokyo , girl walking in the rain\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "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" } ]
5000764
[ "5000764_00.jpg", "5000764_01.jpg", "5000764_02.jpg", "5000764_03.jpg", "5000764_04.jpg", "5000764_05.jpg", "5000764_06.jpg", "5000764_07.jpg", "5000764_08.jpg", "5000764_09.jpg", "5000764_10.jpg", "5000764_11.jpg", "5000764_12.jpg", "5000764_13.jpg", "5000764_14.jpg", "5000764_15.jpg" ]
elephant flying in a fighter jet highly technical ultra detailed excited expression on face shaky video
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000764.mp4
3
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"elephant flying in a fighter jet highly technical ultra detailed excited expression on face shaky video\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1001377
[ "1001377_00.jpg", "1001377_01.jpg", "1001377_02.jpg", "1001377_03.jpg", "1001377_04.jpg", "1001377_05.jpg", "1001377_06.jpg", "1001377_07.jpg", "1001377_08.jpg", "1001377_09.jpg", "1001377_10.jpg", "1001377_11.jpg", "1001377_12.jpg", "1001377_13.jpg", "1001377_14.jpg", "1001377_15.jpg" ]
In a forest with a large river where there is a lot of diversity of animals Message: Mario (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001377.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 \"In a forest with a large river where there is a lot of diversity of animals Message: Mario (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1001926
[ "1001926_00.jpg", "1001926_01.jpg", "1001926_02.jpg", "1001926_03.jpg", "1001926_04.jpg", "1001926_05.jpg", "1001926_06.jpg", "1001926_07.jpg", "1001926_08.jpg", "1001926_09.jpg", "1001926_10.jpg", "1001926_11.jpg", "1001926_12.jpg", "1001926_13.jpg", "1001926_14.jpg", "1001926_15.jpg" ]
a realistic image of a young woman sitting on a balcony with a sea view drinking coffee
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001926.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 realistic image of a young woman sitting on a balcony with a sea view drinking coffee\",\nall the frames of video are as 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" } ]
3000219
[ "3000219_00.jpg", "3000219_01.jpg", "3000219_02.jpg", "3000219_03.jpg", "3000219_04.jpg", "3000219_05.jpg", "3000219_06.jpg", "3000219_07.jpg", "3000219_08.jpg", "3000219_09.jpg", "3000219_10.jpg", "3000219_11.jpg", "3000219_12.jpg", "3000219_13.jpg", "3000219_14.jpg", "3000219_15.jpg" ]
a cosmic head dispersing into stars
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000219.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 cosmic head dispersing into stars\",\nall the frames of video are as 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" } ]
6000360
[ "6000360_00.jpg", "6000360_01.jpg", "6000360_02.jpg", "6000360_03.jpg", "6000360_04.jpg", "6000360_05.jpg", "6000360_06.jpg", "6000360_07.jpg", "6000360_08.jpg", "6000360_09.jpg", "6000360_10.jpg", "6000360_11.jpg", "6000360_12.jpg", "6000360_13.jpg", "6000360_14.jpg", "6000360_15.jpg" ]
a school bus about to crash on a city street, depicted in a photorealistic style.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000360.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 school bus about to crash on a city street, depicted in a photorealistic style.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1001336
[ "1001336_00.jpg", "1001336_01.jpg", "1001336_02.jpg", "1001336_03.jpg", "1001336_04.jpg", "1001336_05.jpg", "1001336_06.jpg", "1001336_07.jpg", "1001336_08.jpg", "1001336_09.jpg", "1001336_10.jpg", "1001336_11.jpg", "1001336_12.jpg", "1001336_13.jpg", "1001336_14.jpg", "1001336_15.jpg" ]
forest beautiful magical waterfall nature 4x4crop Message: mujahid forest (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001336.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 \"forest beautiful magical waterfall nature 4x4crop Message: mujahid forest (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1003565
[ "1003565_00.jpg", "1003565_01.jpg", "1003565_02.jpg", "1003565_03.jpg", "1003565_04.jpg", "1003565_05.jpg", "1003565_06.jpg", "1003565_07.jpg", "1003565_08.jpg", "1003565_09.jpg", "1003565_10.jpg", "1003565_11.jpg", "1003565_12.jpg", "1003565_13.jpg", "1003565_14.jpg", "1003565_15.jpg" ]
VICTOR, a brilliant engineer who can create advanced gadgets.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003565.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 \"VICTOR, a brilliant engineer who can create advanced gadgets.\",\nall the frames of video are as 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" } ]
7004152
[ "7004152_00.jpg", "7004152_01.jpg", "7004152_02.jpg", "7004152_03.jpg", "7004152_04.jpg", "7004152_05.jpg", "7004152_06.jpg", "7004152_07.jpg" ]
lady smoking vape on a beach at sunset
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004152.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 \"lady smoking vape on a beach at sunset\",\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: 3\n" } ]
2002624
[ "2002624_00.jpg", "2002624_01.jpg", "2002624_02.jpg", "2002624_03.jpg", "2002624_04.jpg", "2002624_05.jpg", "2002624_06.jpg", "2002624_07.jpg", "2002624_08.jpg", "2002624_09.jpg", "2002624_10.jpg", "2002624_11.jpg", "2002624_12.jpg", "2002624_13.jpg", "2002624_14.jpg", "2002624_15.jpg" ]
a little boy that already ten years old lived on the castle were looking at the camera
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002624.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 \"a little boy that already ten years old lived on the castle were looking at the camera\",\nall the frames of video are as 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" } ]
7000015
[ "7000015_00.jpg", "7000015_01.jpg", "7000015_02.jpg", "7000015_03.jpg", "7000015_04.jpg", "7000015_05.jpg", "7000015_06.jpg", "7000015_07.jpg" ]
World War II soilder fights off horde of zombie soilders on the batlefield of a European village.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000015.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 \"World War II soilder fights off horde of zombie soilders on the batlefield of a European village.\",\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" } ]
8001426
[ "8001426_00.jpg", "8001426_01.jpg", "8001426_02.jpg", "8001426_03.jpg", "8001426_04.jpg", "8001426_05.jpg", "8001426_06.jpg", "8001426_07.jpg", "8001426_08.jpg", "8001426_09.jpg", "8001426_10.jpg", "8001426_11.jpg", "8001426_12.jpg", "8001426_13.jpg", "8001426_14.jpg", "8001426_15.jpg", "8001426_16.jpg", "8001426_17.jpg", "8001426_18.jpg", "8001426_19.jpg", "8001426_20.jpg", "8001426_21.jpg", "8001426_22.jpg", "8001426_23.jpg" ]
n the other side, an emerald green dragon playfully rests, its eyes glinting mischievously
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001426.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 \"n the other side, an emerald green dragon playfully rests, its eyes glinting mischievously\",\nall the 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" } ]
4001377
[ "4001377_00.jpg", "4001377_01.jpg", "4001377_02.jpg", "4001377_03.jpg", "4001377_04.jpg", "4001377_05.jpg", "4001377_06.jpg", "4001377_07.jpg", "4001377_08.jpg", "4001377_09.jpg", "4001377_10.jpg", "4001377_11.jpg", "4001377_12.jpg", "4001377_13.jpg", "4001377_14.jpg", "4001377_15.jpg" ]
3D Cartoon Animation They discovered that an ancient prophecy foretold of a great cataclysm that would shatter this balance, plunging Ethereal Realms into darkness.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001377.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 \"3D Cartoon Animation They discovered that an ancient prophecy foretold of a great cataclysm that would shatter this balance, plunging Ethereal Realms into darkness.\",\nall the frames of video are as 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" } ]
0000810
[ "0000810_00.jpg", "0000810_01.jpg", "0000810_02.jpg", "0000810_03.jpg", "0000810_04.jpg", "0000810_05.jpg", "0000810_06.jpg", "0000810_07.jpg", "0000810_08.jpg", "0000810_09.jpg", "0000810_10.jpg", "0000810_11.jpg", "0000810_12.jpg", "0000810_13.jpg", "0000810_14.jpg", "0000810_15.jpg", "0000810_16.jpg", "0000810_17.jpg", "0000810_18.jpg", "0000810_19.jpg", "0000810_20.jpg", "0000810_21.jpg", "0000810_22.jpg", "0000810_23.jpg" ]
red ball bouncing in the yellow square
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000810.mp4
2
3
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"red ball bouncing in the yellow square\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
7000954
[ "7000954_00.jpg", "7000954_01.jpg", "7000954_02.jpg", "7000954_03.jpg", "7000954_04.jpg", "7000954_05.jpg", "7000954_06.jpg", "7000954_07.jpg" ]
Returning home, Mia and Ben knew that even galaxies apart, understanding and cooperation could mend worlds.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000954.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 \"Returning home, Mia and Ben knew that even galaxies apart, understanding and cooperation could mend worlds.\",\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" } ]
9000004
[ "9000004_00.jpg", "9000004_01.jpg", "9000004_02.jpg", "9000004_03.jpg", "9000004_04.jpg", "9000004_05.jpg", "9000004_06.jpg", "9000004_07.jpg", "9000004_08.jpg", "9000004_09.jpg", "9000004_10.jpg", "9000004_11.jpg", "9000004_12.jpg", "9000004_13.jpg", "9000004_14.jpg", "9000004_15.jpg", "9000004_16.jpg", "9000004_17.jpg", "9000004_18.jpg", "9000004_19.jpg", "9000004_20.jpg", "9000004_21.jpg", "9000004_22.jpg", "9000004_23.jpg" ]
Gwen Stacy reading a book, pan right
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000004.mp4
1
1
2
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Gwen Stacy reading a book, pan right\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6002165
[ "6002165_00.jpg", "6002165_01.jpg", "6002165_02.jpg", "6002165_03.jpg", "6002165_04.jpg", "6002165_05.jpg", "6002165_06.jpg", "6002165_07.jpg", "6002165_08.jpg", "6002165_09.jpg", "6002165_10.jpg", "6002165_11.jpg", "6002165_12.jpg", "6002165_13.jpg", "6002165_14.jpg", "6002165_15.jpg" ]
fireworkt, night sky, hyperrealistic Message: AMAZING (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002165.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 \"fireworkt, night sky, hyperrealistic Message: AMAZING (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
8000116
[ "8000116_00.jpg", "8000116_01.jpg", "8000116_02.jpg", "8000116_03.jpg", "8000116_04.jpg", "8000116_05.jpg", "8000116_06.jpg", "8000116_07.jpg", "8000116_08.jpg", "8000116_09.jpg", "8000116_10.jpg", "8000116_11.jpg", "8000116_12.jpg", "8000116_13.jpg", "8000116_14.jpg", "8000116_15.jpg", "8000116_16.jpg", "8000116_17.jpg", "8000116_18.jpg", "8000116_19.jpg", "8000116_20.jpg", "8000116_21.jpg", "8000116_22.jpg", "8000116_23.jpg" ]
people shopping in a expensive mall
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000116.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 \"people shopping in a expensive mall\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
4001894
[ "4001894_00.jpg", "4001894_01.jpg", "4001894_02.jpg", "4001894_03.jpg", "4001894_04.jpg", "4001894_05.jpg", "4001894_06.jpg", "4001894_07.jpg", "4001894_08.jpg", "4001894_09.jpg", "4001894_10.jpg", "4001894_11.jpg", "4001894_12.jpg", "4001894_13.jpg", "4001894_14.jpg", "4001894_15.jpg" ]
4 mal Bavarian in typical bavarian suits Sitting Around a table drinking Great Glases of Beer. An attraktive waitress is Serving some extra orders!
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001894.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 \"4 mal Bavarian in typical bavarian suits Sitting Around a table drinking Great Glases of Beer. An attraktive waitress is Serving some extra orders!\",\nall the frames of video are as 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" } ]
4001592
[ "4001592_00.jpg", "4001592_01.jpg", "4001592_02.jpg", "4001592_03.jpg", "4001592_04.jpg", "4001592_05.jpg", "4001592_06.jpg", "4001592_07.jpg", "4001592_08.jpg", "4001592_09.jpg", "4001592_10.jpg", "4001592_11.jpg", "4001592_12.jpg", "4001592_13.jpg", "4001592_14.jpg", "4001592_15.jpg" ]
silent black and white movie old medieval castle and a person walking by, zoom in
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001592.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 \"silent black and white movie old medieval castle and a person walking by, zoom 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: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
0003925
[ "0003925_00.jpg", "0003925_01.jpg", "0003925_02.jpg", "0003925_03.jpg", "0003925_04.jpg", "0003925_05.jpg", "0003925_06.jpg", "0003925_07.jpg", "0003925_08.jpg", "0003925_09.jpg", "0003925_10.jpg", "0003925_11.jpg", "0003925_12.jpg", "0003925_13.jpg", "0003925_14.jpg", "0003925_15.jpg", "0003925_16.jpg", "0003925_17.jpg", "0003925_18.jpg", "0003925_19.jpg", "0003925_20.jpg", "0003925_21.jpg", "0003925_22.jpg", "0003925_23.jpg" ]
hotel manager talking to employee, hotel background setting, realistic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003925.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 \"hotel manager talking to employee, hotel background setting, realistic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7004120
[ "7004120_00.jpg", "7004120_01.jpg", "7004120_02.jpg", "7004120_03.jpg", "7004120_04.jpg", "7004120_05.jpg", "7004120_06.jpg", "7004120_07.jpg" ]
A cat, PAWS on the couch, cute
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004120.mp4
1
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A cat, PAWS on the couch, cute\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
1002135
[ "1002135_00.jpg", "1002135_01.jpg", "1002135_02.jpg", "1002135_03.jpg", "1002135_04.jpg", "1002135_05.jpg", "1002135_06.jpg", "1002135_07.jpg", "1002135_08.jpg", "1002135_09.jpg", "1002135_10.jpg", "1002135_11.jpg", "1002135_12.jpg", "1002135_13.jpg", "1002135_14.jpg", "1002135_15.jpg" ]
a hand sticking up moving slowly
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002135.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 hand sticking up moving slowly\",\nall the frames of video are as 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" } ]
2000942
[ "2000942_00.jpg", "2000942_01.jpg", "2000942_02.jpg", "2000942_03.jpg", "2000942_04.jpg", "2000942_05.jpg", "2000942_06.jpg", "2000942_07.jpg", "2000942_08.jpg", "2000942_09.jpg", "2000942_10.jpg", "2000942_11.jpg", "2000942_12.jpg", "2000942_13.jpg", "2000942_14.jpg", "2000942_15.jpg" ]
nameday party sister in central Europe
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000942.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 \"nameday party sister in central Europe\",\nall the frames of video are as 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" } ]
0001839
[ "0001839_00.jpg", "0001839_01.jpg", "0001839_02.jpg", "0001839_03.jpg", "0001839_04.jpg", "0001839_05.jpg", "0001839_06.jpg", "0001839_07.jpg", "0001839_08.jpg", "0001839_09.jpg", "0001839_10.jpg", "0001839_11.jpg", "0001839_12.jpg", "0001839_13.jpg", "0001839_14.jpg", "0001839_15.jpg", "0001839_16.jpg", "0001839_17.jpg", "0001839_18.jpg", "0001839_19.jpg", "0001839_20.jpg", "0001839_21.jpg", "0001839_22.jpg", "0001839_23.jpg" ]
Jesus climbing on mountain with people
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001839.mp4
3
2
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Jesus climbing on mountain with people\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
5000031
[ "5000031_00.jpg", "5000031_01.jpg", "5000031_02.jpg", "5000031_03.jpg", "5000031_04.jpg", "5000031_05.jpg", "5000031_06.jpg", "5000031_07.jpg", "5000031_08.jpg", "5000031_09.jpg", "5000031_10.jpg", "5000031_11.jpg", "5000031_12.jpg", "5000031_13.jpg", "5000031_14.jpg", "5000031_15.jpg" ]
Introduce the fearless young girl, Lila, and her curiosity that leads her to the mountain where big eagle Eldric resides animation.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000031.mp4
3
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Introduce the fearless young girl, Lila, and her curiosity that leads her to the mountain where big eagle Eldric resides animation.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0006249
[ "0006249_00.jpg", "0006249_01.jpg", "0006249_02.jpg", "0006249_03.jpg", "0006249_04.jpg", "0006249_05.jpg", "0006249_06.jpg", "0006249_07.jpg", "0006249_08.jpg", "0006249_09.jpg", "0006249_10.jpg", "0006249_11.jpg", "0006249_12.jpg", "0006249_13.jpg", "0006249_14.jpg", "0006249_15.jpg", "0006249_16.jpg", "0006249_17.jpg", "0006249_18.jpg", "0006249_19.jpg", "0006249_20.jpg", "0006249_21.jpg", "0006249_22.jpg", "0006249_23.jpg" ]
Turtles in the forest talk about baby turtle
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006249.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 \"Turtles in the forest talk about baby turtle\",\nall the 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" } ]
2002584
[ "2002584_00.jpg", "2002584_01.jpg", "2002584_02.jpg", "2002584_03.jpg", "2002584_04.jpg", "2002584_05.jpg", "2002584_06.jpg", "2002584_07.jpg", "2002584_08.jpg", "2002584_09.jpg", "2002584_10.jpg", "2002584_11.jpg", "2002584_12.jpg", "2002584_13.jpg", "2002584_14.jpg", "2002584_15.jpg" ]
Anime slam dunk thought by AI Message: 2023 (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002584.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 \"Anime slam dunk thought by AI Message: 2023 (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3001667
[ "3001667_00.jpg", "3001667_01.jpg", "3001667_02.jpg", "3001667_03.jpg", "3001667_04.jpg", "3001667_05.jpg", "3001667_06.jpg", "3001667_07.jpg", "3001667_08.jpg", "3001667_09.jpg", "3001667_10.jpg", "3001667_11.jpg", "3001667_12.jpg", "3001667_13.jpg", "3001667_14.jpg", "3001667_15.jpg" ]
inside of a yellow train cart
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001667.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 \"inside of a yellow train cart\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3005505
[ "3005505_00.jpg", "3005505_01.jpg", "3005505_02.jpg", "3005505_03.jpg", "3005505_04.jpg", "3005505_05.jpg", "3005505_06.jpg", "3005505_07.jpg", "3005505_08.jpg", "3005505_09.jpg", "3005505_10.jpg", "3005505_11.jpg", "3005505_12.jpg", "3005505_13.jpg", "3005505_14.jpg", "3005505_15.jpg" ]
Christmas, a group of people joyfully enjoying snacks and playing board games
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005505.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 \"Christmas, a group of people joyfully enjoying snacks and playing board games\",\nall the frames of video are as 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" } ]
3001880
[ "3001880_00.jpg", "3001880_01.jpg", "3001880_02.jpg", "3001880_03.jpg", "3001880_04.jpg", "3001880_05.jpg", "3001880_06.jpg", "3001880_07.jpg", "3001880_08.jpg", "3001880_09.jpg", "3001880_10.jpg", "3001880_11.jpg", "3001880_12.jpg", "3001880_13.jpg", "3001880_14.jpg", "3001880_15.jpg" ]
Tom Cruise says: I love you Daryna Very much
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001880.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 \"Tom Cruise says: I love you Daryna Very much\",\nall the frames of video are as 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" } ]
5000080
[ "5000080_00.jpg", "5000080_01.jpg", "5000080_02.jpg", "5000080_03.jpg", "5000080_04.jpg", "5000080_05.jpg", "5000080_06.jpg", "5000080_07.jpg", "5000080_08.jpg", "5000080_09.jpg", "5000080_10.jpg", "5000080_11.jpg", "5000080_12.jpg", "5000080_13.jpg", "5000080_14.jpg", "5000080_15.jpg" ]
princess stand at top of hill ultra beautiful scene of nature beauty high resolution
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000080.mp4
3
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"princess stand at top of hill ultra beautiful scene of nature beauty high resolution\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
7002901
[ "7002901_00.jpg", "7002901_01.jpg", "7002901_02.jpg", "7002901_03.jpg", "7002901_04.jpg", "7002901_05.jpg", "7002901_06.jpg", "7002901_07.jpg" ]
one handsome man singing a romantic song in a wedding
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002901.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 \"one handsome man singing a romantic song in a wedding\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
2003911
[ "2003911_00.jpg", "2003911_01.jpg", "2003911_02.jpg", "2003911_03.jpg", "2003911_04.jpg", "2003911_05.jpg", "2003911_06.jpg", "2003911_07.jpg", "2003911_08.jpg", "2003911_09.jpg", "2003911_10.jpg", "2003911_11.jpg", "2003911_12.jpg", "2003911_13.jpg", "2003911_14.jpg", "2003911_15.jpg" ]
A rural house in the middle of a farm portrays a serene scene. The house, with its rustic charm, sits among expansive fields or orchards. Surrounded by greenery, it creates a tranquil ambiance. Smoke may rise gently from the chimney, indicating a cozy warmth inside. Farm animals graze peacefully nearby, completing the picturesque rural setting.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003911.mp4
2
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A rural house in the middle of a farm portrays a serene scene. The house, with its rustic charm, sits among expansive fields or orchards. Surrounded by greenery, it creates a tranquil ambiance. Smoke may rise gently from the chimney, indicating a cozy warmth inside. Farm animals graze peacefully nearby, completing the picturesque rural setting.\",\nall the frames of video are as 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" } ]
7000150
[ "7000150_00.jpg", "7000150_01.jpg", "7000150_02.jpg", "7000150_03.jpg", "7000150_04.jpg", "7000150_05.jpg", "7000150_06.jpg", "7000150_07.jpg" ]
Together, they touched the hearts and minds of countless seekers, guiding them on the path to spiritual enlightenment.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000150.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 \"Together, they touched the hearts and minds of countless seekers, guiding them on the path to spiritual enlightenment.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
0001273
[ "0001273_00.jpg", "0001273_01.jpg", "0001273_02.jpg", "0001273_03.jpg", "0001273_04.jpg", "0001273_05.jpg", "0001273_06.jpg", "0001273_07.jpg", "0001273_08.jpg", "0001273_09.jpg", "0001273_10.jpg", "0001273_11.jpg", "0001273_12.jpg", "0001273_13.jpg", "0001273_14.jpg", "0001273_15.jpg", "0001273_16.jpg", "0001273_17.jpg", "0001273_18.jpg", "0001273_19.jpg", "0001273_20.jpg", "0001273_21.jpg", "0001273_22.jpg", "0001273_23.jpg" ]
Woody from toy story is driving a fancy car on street
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001273.mp4
2
3
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Woody from toy story is driving a fancy car on street\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6000616
[ "6000616_00.jpg", "6000616_01.jpg", "6000616_02.jpg", "6000616_03.jpg", "6000616_04.jpg", "6000616_05.jpg", "6000616_06.jpg", "6000616_07.jpg", "6000616_08.jpg", "6000616_09.jpg", "6000616_10.jpg", "6000616_11.jpg", "6000616_12.jpg", "6000616_13.jpg", "6000616_14.jpg", "6000616_15.jpg" ]
obtaining items such as books, CDs and DVDs before the date they officially go on sale
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000616.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 \"obtaining items such as books, CDs and DVDs before the date they officially go on sale\",\nall the frames of video are as 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" } ]
8001208
[ "8001208_00.jpg", "8001208_01.jpg", "8001208_02.jpg", "8001208_03.jpg", "8001208_04.jpg", "8001208_05.jpg", "8001208_06.jpg", "8001208_07.jpg", "8001208_08.jpg", "8001208_09.jpg", "8001208_10.jpg", "8001208_11.jpg", "8001208_12.jpg", "8001208_13.jpg", "8001208_14.jpg", "8001208_15.jpg", "8001208_16.jpg", "8001208_17.jpg", "8001208_18.jpg", "8001208_19.jpg", "8001208_20.jpg", "8001208_21.jpg", "8001208_22.jpg", "8001208_23.jpg" ]
in New York City a woman walking down the street dresses in nice business attire holding her neck with one hand due to neck pain.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001208.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 \"in New York City a woman walking down the street dresses in nice business attire holding her neck with one hand due to neck pain.\",\nall the 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: 2\n" } ]
8000094
[ "8000094_00.jpg", "8000094_01.jpg", "8000094_02.jpg", "8000094_03.jpg", "8000094_04.jpg", "8000094_05.jpg", "8000094_06.jpg", "8000094_07.jpg", "8000094_08.jpg", "8000094_09.jpg", "8000094_10.jpg", "8000094_11.jpg", "8000094_12.jpg", "8000094_13.jpg", "8000094_14.jpg", "8000094_15.jpg", "8000094_16.jpg", "8000094_17.jpg", "8000094_18.jpg", "8000094_19.jpg", "8000094_20.jpg", "8000094_21.jpg", "8000094_22.jpg", "8000094_23.jpg" ]
trypophobia, small spiders, horror movie, scary, evil, high definition, realistic, fear, vintage, nightmare, spider, phobia
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000094.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 \"trypophobia, small spiders, horror movie, scary, evil, high definition, realistic, fear, vintage, nightmare, spider, phobia\",\nall the 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" } ]
3000251
[ "3000251_00.jpg", "3000251_01.jpg", "3000251_02.jpg", "3000251_03.jpg", "3000251_04.jpg", "3000251_05.jpg", "3000251_06.jpg", "3000251_07.jpg", "3000251_08.jpg", "3000251_09.jpg", "3000251_10.jpg", "3000251_11.jpg", "3000251_12.jpg", "3000251_13.jpg", "3000251_14.jpg", "3000251_15.jpg" ]
alien attack, people running, big alien missiles blowing up the earth, total earth annihilation, scary, terrifying, beautiful explosions, end of the world threat, invasion, spaceships everywhere, spaceships duplicating, duplicating aliens, aliens scary smile, motion 3
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000251.mp4
3
3
1
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"alien attack, people running, big alien missiles blowing up the earth, total earth annihilation, scary, terrifying, beautiful explosions, end of the world threat, invasion, spaceships everywhere, spaceships duplicating, duplicating aliens, aliens scary smile, motion 3\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
9000638
[ "9000638_00.jpg", "9000638_01.jpg", "9000638_02.jpg", "9000638_03.jpg", "9000638_04.jpg", "9000638_05.jpg", "9000638_06.jpg", "9000638_07.jpg", "9000638_08.jpg", "9000638_09.jpg", "9000638_10.jpg", "9000638_11.jpg", "9000638_12.jpg", "9000638_13.jpg", "9000638_14.jpg", "9000638_15.jpg", "9000638_16.jpg", "9000638_17.jpg", "9000638_18.jpg", "9000638_19.jpg", "9000638_20.jpg", "9000638_21.jpg", "9000638_22.jpg", "9000638_23.jpg" ]
A handsome man who is blind, facing straight ahead. Beautiful Final Fantasy style animation
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000638.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 handsome man who is blind, facing straight ahead. Beautiful Final Fantasy style animation\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
4002105
[ "4002105_00.jpg", "4002105_01.jpg", "4002105_02.jpg", "4002105_03.jpg", "4002105_04.jpg", "4002105_05.jpg", "4002105_06.jpg", "4002105_07.jpg", "4002105_08.jpg", "4002105_09.jpg", "4002105_10.jpg", "4002105_11.jpg", "4002105_12.jpg", "4002105_13.jpg", "4002105_14.jpg", "4002105_15.jpg" ]
mobile welder repairing a broken piece of machinery, cinematic, hyper realism
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002105.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 \"mobile welder repairing a broken piece of machinery, cinematic, hyper realism\",\nall the frames of video are as 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" } ]
5000330
[ "5000330_00.jpg", "5000330_01.jpg", "5000330_02.jpg", "5000330_03.jpg", "5000330_04.jpg", "5000330_05.jpg", "5000330_06.jpg", "5000330_07.jpg", "5000330_08.jpg", "5000330_09.jpg", "5000330_10.jpg", "5000330_11.jpg", "5000330_12.jpg", "5000330_13.jpg", "5000330_14.jpg", "5000330_15.jpg" ]
a beautiful Asian lady in pink tank top and leggings doing dumbbell curls in a gym
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000330.mp4
3
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a beautiful Asian lady in pink tank top and leggings doing dumbbell curls in a gym\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
4004842
[ "4004842_00.jpg", "4004842_01.jpg", "4004842_02.jpg", "4004842_03.jpg", "4004842_04.jpg", "4004842_05.jpg", "4004842_06.jpg", "4004842_07.jpg", "4004842_08.jpg", "4004842_09.jpg", "4004842_10.jpg", "4004842_11.jpg", "4004842_12.jpg", "4004842_13.jpg", "4004842_14.jpg", "4004842_15.jpg" ]
No prompt
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004842.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 \"No prompt\",\nall the frames of video are as 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" } ]
3001354
[ "3001354_00.jpg", "3001354_01.jpg", "3001354_02.jpg", "3001354_03.jpg", "3001354_04.jpg", "3001354_05.jpg", "3001354_06.jpg", "3001354_07.jpg", "3001354_08.jpg", "3001354_09.jpg", "3001354_10.jpg", "3001354_11.jpg", "3001354_12.jpg", "3001354_13.jpg", "3001354_14.jpg", "3001354_15.jpg" ]
Ancient Palestine was the home of many ancient civilizations, including the Canaanites, Egyptians, Assyrians, Babylonians, and Persians. This region was once an important cultural and trade center in ancient history.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001354.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 \"Ancient Palestine was the home of many ancient civilizations, including the Canaanites, Egyptians, Assyrians, Babylonians, and Persians. This region was once an important cultural and trade center in ancient history.\",\nall the frames of video are as 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" } ]
1001539
[ "1001539_00.jpg", "1001539_01.jpg", "1001539_02.jpg", "1001539_03.jpg", "1001539_04.jpg", "1001539_05.jpg", "1001539_06.jpg", "1001539_07.jpg", "1001539_08.jpg", "1001539_09.jpg", "1001539_10.jpg", "1001539_11.jpg", "1001539_12.jpg", "1001539_13.jpg", "1001539_14.jpg", "1001539_15.jpg" ]
Iron man in the demon world, realistic, detail
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001539.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 \"Iron man in the demon world, realistic, detail\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0000396
[ "0000396_00.jpg", "0000396_01.jpg", "0000396_02.jpg", "0000396_03.jpg", "0000396_04.jpg", "0000396_05.jpg", "0000396_06.jpg", "0000396_07.jpg", "0000396_08.jpg", "0000396_09.jpg", "0000396_10.jpg", "0000396_11.jpg", "0000396_12.jpg", "0000396_13.jpg", "0000396_14.jpg", "0000396_15.jpg", "0000396_16.jpg", "0000396_17.jpg", "0000396_18.jpg", "0000396_19.jpg", "0000396_20.jpg", "0000396_21.jpg", "0000396_22.jpg", "0000396_23.jpg" ]
A razor shaves the wool of a sheep on a sailboat
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000396.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 razor shaves the wool of a sheep on a sailboat\",\nall the 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" } ]
2002179
[ "2002179_00.jpg", "2002179_01.jpg", "2002179_02.jpg", "2002179_03.jpg", "2002179_04.jpg", "2002179_05.jpg", "2002179_06.jpg", "2002179_07.jpg", "2002179_08.jpg", "2002179_09.jpg", "2002179_10.jpg", "2002179_11.jpg", "2002179_12.jpg", "2002179_13.jpg", "2002179_14.jpg", "2002179_15.jpg" ]
a red neon heart on a brick wall, heart of the internet, hearts symbol, heart, dating app icon, neon heart reactor, neon background lighting, heart effects, several hearts, black and white with red hearts, background with neon lighting, magic heart, soft neon lighting, connected to heart machines, lovecratian, dark neon lighting, neon electronic signs, cgi, 1024K
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002179.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a red neon heart on a brick wall, heart of the internet, hearts symbol, heart, dating app icon, neon heart reactor, neon background lighting, heart effects, several hearts, black and white with red hearts, background with neon lighting, magic heart, soft neon lighting, connected to heart machines, lovecratian, dark neon lighting, neon electronic signs, cgi, 1024K\",\nall the frames of video are as 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" } ]
2000346
[ "2000346_00.jpg", "2000346_01.jpg", "2000346_02.jpg", "2000346_03.jpg", "2000346_04.jpg", "2000346_05.jpg", "2000346_06.jpg", "2000346_07.jpg", "2000346_08.jpg", "2000346_09.jpg", "2000346_10.jpg", "2000346_11.jpg", "2000346_12.jpg", "2000346_13.jpg", "2000346_14.jpg", "2000346_15.jpg" ]
man with long hair floating off the top of a skyscraper, graphic novel, animation style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000346.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"man with long hair floating off the top of a skyscraper, graphic novel, animation style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
5000766
[ "5000766_00.jpg", "5000766_01.jpg", "5000766_02.jpg", "5000766_03.jpg", "5000766_04.jpg", "5000766_05.jpg", "5000766_06.jpg", "5000766_07.jpg", "5000766_08.jpg", "5000766_09.jpg", "5000766_10.jpg", "5000766_11.jpg", "5000766_12.jpg", "5000766_13.jpg", "5000766_14.jpg", "5000766_15.jpg" ]
Athletic and beautiful realistic photo of a Latina police detective body turns into a smoke like creature on a dark gritty urban street at night She is standing by a police car from the 1940’s. In the style of Director Alfred Hitchcock Ar 21:20
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000766.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 \"Athletic and beautiful realistic photo of a Latina police detective body turns into a smoke like creature on a dark gritty urban street at night She is standing by a police car from the 1940’s. In the style of Director Alfred Hitchcock Ar 21:20\",\nall the frames of video are as 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" } ]
8000104
[ "8000104_00.jpg", "8000104_01.jpg", "8000104_02.jpg", "8000104_03.jpg", "8000104_04.jpg", "8000104_05.jpg", "8000104_06.jpg", "8000104_07.jpg", "8000104_08.jpg", "8000104_09.jpg", "8000104_10.jpg", "8000104_11.jpg", "8000104_12.jpg", "8000104_13.jpg", "8000104_14.jpg", "8000104_15.jpg", "8000104_16.jpg", "8000104_17.jpg", "8000104_18.jpg", "8000104_19.jpg", "8000104_20.jpg", "8000104_21.jpg", "8000104_22.jpg", "8000104_23.jpg" ]
young mage named Elara found herself at a crossroads between fear and fascination
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000104.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 \"young mage named Elara found herself at a crossroads between fear and fascination\",\nall the 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" } ]