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
|
---|---|---|---|---|---|---|---|---|---|
2005978 | [
"2005978_00.jpg",
"2005978_01.jpg",
"2005978_02.jpg",
"2005978_03.jpg",
"2005978_04.jpg",
"2005978_05.jpg",
"2005978_06.jpg",
"2005978_07.jpg",
"2005978_08.jpg",
"2005978_09.jpg",
"2005978_10.jpg",
"2005978_11.jpg",
"2005978_12.jpg",
"2005978_13.jpg",
"2005978_14.jpg",
"2005978_15.jpg"
] | Transition into imaginative animated sequences that bring the forest stories to life. Show animated forest creatures, magical landscapes, and the sense of adventure as described in the stories. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005978.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 \"Transition into imaginative animated sequences that bring the forest stories to life. Show animated forest creatures, magical landscapes, and the sense of adventure as described in the stories.\",\nall the frames of video are as 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"
}
] |
1005645 | [
"1005645_00.jpg",
"1005645_01.jpg",
"1005645_02.jpg",
"1005645_03.jpg",
"1005645_04.jpg",
"1005645_05.jpg",
"1005645_06.jpg",
"1005645_07.jpg",
"1005645_08.jpg",
"1005645_09.jpg",
"1005645_10.jpg",
"1005645_11.jpg",
"1005645_12.jpg",
"1005645_13.jpg",
"1005645_14.jpg",
"1005645_15.jpg"
] | make 3d animated two mice and frog eating nuts and cheese | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005645.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 \"make 3d animated two mice and frog eating nuts and cheese\",\nall the frames of video are as 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"
}
] |
3002630 | [
"3002630_00.jpg",
"3002630_01.jpg",
"3002630_02.jpg",
"3002630_03.jpg",
"3002630_04.jpg",
"3002630_05.jpg",
"3002630_06.jpg",
"3002630_07.jpg",
"3002630_08.jpg",
"3002630_09.jpg",
"3002630_10.jpg",
"3002630_11.jpg",
"3002630_12.jpg",
"3002630_13.jpg",
"3002630_14.jpg",
"3002630_15.jpg"
] | The ancient Egyptians and population centers appeared, became tribes, and formed civilizations along the Nile River, like a 4K civilization. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002630.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 \"The ancient Egyptians and population centers appeared, became tribes, and formed civilizations along the Nile River, like a 4K civilization.\",\nall the frames of video are as 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"
}
] |
2005016 | [
"2005016_00.jpg",
"2005016_01.jpg",
"2005016_02.jpg",
"2005016_03.jpg",
"2005016_04.jpg",
"2005016_05.jpg",
"2005016_06.jpg",
"2005016_07.jpg",
"2005016_08.jpg",
"2005016_09.jpg",
"2005016_10.jpg",
"2005016_11.jpg",
"2005016_12.jpg",
"2005016_13.jpg",
"2005016_14.jpg",
"2005016_15.jpg"
] | create a video with the following scene: a beautiful and large train station with people walking in different directions and in the middle of the crowd two smiling friends meet. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005016.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 \"create a video with the following scene: a beautiful and large train station with people walking in different directions and in the middle of the crowd two smiling friends meet.\",\nall the frames of video are as 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"
}
] |
2003672 | [
"2003672_00.jpg",
"2003672_01.jpg",
"2003672_02.jpg",
"2003672_03.jpg",
"2003672_04.jpg",
"2003672_05.jpg",
"2003672_06.jpg",
"2003672_07.jpg",
"2003672_08.jpg",
"2003672_09.jpg",
"2003672_10.jpg",
"2003672_11.jpg",
"2003672_12.jpg",
"2003672_13.jpg",
"2003672_14.jpg",
"2003672_15.jpg"
] | Macro photography of nail polish on a white background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003672.mp4 | 2 | 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 \"Macro photography of nail polish on a white background\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
1005826 | [
"1005826_00.jpg",
"1005826_01.jpg",
"1005826_02.jpg",
"1005826_03.jpg",
"1005826_04.jpg",
"1005826_05.jpg",
"1005826_06.jpg",
"1005826_07.jpg",
"1005826_08.jpg",
"1005826_09.jpg",
"1005826_10.jpg",
"1005826_11.jpg",
"1005826_12.jpg",
"1005826_13.jpg",
"1005826_14.jpg",
"1005826_15.jpg"
] | The girl happily walks down the dark street with an umbrella, the asphalt is wet and shiny, in her hands is a black handbag with personal belongings | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005826.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The girl happily walks down the dark street with an umbrella, the asphalt is wet and shiny, in her hands is a black handbag with personal belongings\",\nall the frames of video are as 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"
}
] |
3001338 | [
"3001338_00.jpg",
"3001338_01.jpg",
"3001338_02.jpg",
"3001338_03.jpg",
"3001338_04.jpg",
"3001338_05.jpg",
"3001338_06.jpg",
"3001338_07.jpg",
"3001338_08.jpg",
"3001338_09.jpg",
"3001338_10.jpg",
"3001338_11.jpg",
"3001338_12.jpg",
"3001338_13.jpg",
"3001338_14.jpg",
"3001338_15.jpg"
] | elf girl, black straight long hair, golden eyes, red dress, yellow spell, magic, sorceress, real, dungeon and dragons | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001338.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 \"elf girl, black straight long hair, golden eyes, red dress, yellow spell, magic, sorceress, real, dungeon and dragons\",\nall the frames of video are as 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"
}
] |
3001698 | [
"3001698_00.jpg",
"3001698_01.jpg",
"3001698_02.jpg",
"3001698_03.jpg",
"3001698_04.jpg",
"3001698_05.jpg",
"3001698_06.jpg",
"3001698_07.jpg",
"3001698_08.jpg",
"3001698_09.jpg",
"3001698_10.jpg",
"3001698_11.jpg",
"3001698_12.jpg",
"3001698_13.jpg",
"3001698_14.jpg",
"3001698_15.jpg"
] | lady coming out of a light | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001698.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 \"lady coming out of a 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: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
9000623 | [
"9000623_00.jpg",
"9000623_01.jpg",
"9000623_02.jpg",
"9000623_03.jpg",
"9000623_04.jpg",
"9000623_05.jpg",
"9000623_06.jpg",
"9000623_07.jpg",
"9000623_08.jpg",
"9000623_09.jpg",
"9000623_10.jpg",
"9000623_11.jpg",
"9000623_12.jpg",
"9000623_13.jpg",
"9000623_14.jpg",
"9000623_15.jpg",
"9000623_16.jpg",
"9000623_17.jpg",
"9000623_18.jpg",
"9000623_19.jpg",
"9000623_20.jpg",
"9000623_21.jpg",
"9000623_22.jpg",
"9000623_23.jpg"
] | A medium sized friendly looking dog walks through an industrial parking lot. The environment is foggy and cloudy. Shot on 35mm film, vivid colors. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000623.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 medium sized friendly looking dog walks through an industrial parking lot. The environment is foggy and cloudy. Shot on 35mm film, vivid colors.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3002496 | [
"3002496_00.jpg",
"3002496_01.jpg",
"3002496_02.jpg",
"3002496_03.jpg",
"3002496_04.jpg",
"3002496_05.jpg",
"3002496_06.jpg",
"3002496_07.jpg",
"3002496_08.jpg",
"3002496_09.jpg",
"3002496_10.jpg",
"3002496_11.jpg",
"3002496_12.jpg",
"3002496_13.jpg",
"3002496_14.jpg",
"3002496_15.jpg"
] | A phoenix flies over a volcano. The valley where the volcano is has a very beautiful flower meadow | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002496.mp4 | 2 | 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 phoenix flies over a volcano. The valley where the volcano is has a very beautiful flower meadow\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
7001195 | [
"7001195_00.jpg",
"7001195_01.jpg",
"7001195_02.jpg",
"7001195_03.jpg",
"7001195_04.jpg",
"7001195_05.jpg",
"7001195_06.jpg",
"7001195_07.jpg"
] | a small lighted paper lanten bobbing on the ocean floating out towards deep water, twilight, misty cinematic. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001195.mp4 | 3 | 2 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a small lighted paper lanten bobbing on the ocean floating out towards deep water, twilight, misty cinematic.\",\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: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1005683 | [
"1005683_00.jpg",
"1005683_01.jpg",
"1005683_02.jpg",
"1005683_03.jpg",
"1005683_04.jpg",
"1005683_05.jpg",
"1005683_06.jpg",
"1005683_07.jpg",
"1005683_08.jpg",
"1005683_09.jpg",
"1005683_10.jpg",
"1005683_11.jpg",
"1005683_12.jpg",
"1005683_13.jpg",
"1005683_14.jpg",
"1005683_15.jpg"
] | drone shot of a bunch of Super Models with blond braide hair running on the beach 8k ar 16:9 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005683.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 \"drone shot of a bunch of Super Models with blond braide hair running on the beach 8k ar 16:9\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0006480 | [
"0006480_00.jpg",
"0006480_01.jpg",
"0006480_02.jpg",
"0006480_03.jpg",
"0006480_04.jpg",
"0006480_05.jpg",
"0006480_06.jpg",
"0006480_07.jpg",
"0006480_08.jpg",
"0006480_09.jpg",
"0006480_10.jpg",
"0006480_11.jpg",
"0006480_12.jpg",
"0006480_13.jpg",
"0006480_14.jpg",
"0006480_15.jpg",
"0006480_16.jpg",
"0006480_17.jpg",
"0006480_18.jpg",
"0006480_19.jpg",
"0006480_20.jpg",
"0006480_21.jpg",
"0006480_22.jpg",
"0006480_23.jpg"
] | video of an animated fly that stands like a person doing a corny dance | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006480.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 \"video of an animated fly that stands like a person doing a corny dance\",\nall the 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"
}
] |
1005572 | [
"1005572_00.jpg",
"1005572_01.jpg",
"1005572_02.jpg",
"1005572_03.jpg",
"1005572_04.jpg",
"1005572_05.jpg",
"1005572_06.jpg",
"1005572_07.jpg",
"1005572_08.jpg",
"1005572_09.jpg",
"1005572_10.jpg",
"1005572_11.jpg",
"1005572_12.jpg",
"1005572_13.jpg",
"1005572_14.jpg",
"1005572_15.jpg"
] | Generate an image of friends using flashlights to illuminate the dark, dusty corridors of an old mansion. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005572.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Generate an image of friends using flashlights to illuminate the dark, dusty corridors of an old mansion.\",\nall the frames of video are as 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"
}
] |
0000118 | [
"0000118_00.jpg",
"0000118_01.jpg",
"0000118_02.jpg",
"0000118_03.jpg",
"0000118_04.jpg",
"0000118_05.jpg",
"0000118_06.jpg",
"0000118_07.jpg",
"0000118_08.jpg",
"0000118_09.jpg",
"0000118_10.jpg",
"0000118_11.jpg",
"0000118_12.jpg",
"0000118_13.jpg",
"0000118_14.jpg",
"0000118_15.jpg",
"0000118_16.jpg",
"0000118_17.jpg",
"0000118_18.jpg",
"0000118_19.jpg",
"0000118_20.jpg",
"0000118_21.jpg",
"0000118_22.jpg",
"0000118_23.jpg"
] | Starting his career at DreamWorks Animation, Don Allen III is a multidisciplinary creator, speaker and consultant who collaborates with major tech and entertainment companies on mixed reality, virtual reality and AI applications. “For a long time I've been making augmented reality hybrid creatures that I think would be fun combinations in my head. Now I have a much easier way of prototyping the ideas before I fully build out the 3-D characters to place in spatial computers.” Don cites Sora’s “weirdness” as its greatest strength: “It’s not bound by traditional laws of physics or conventions of thought.” He says that working with Sora shifted his focus from “technical hurdles to pure creativity…unlocking a world of instant visualization and rapid prototyping.” At the same time, Don says “I feel like this allows me to focus more of my time and energy in the right places… and the emotional impact that I would like my characters to have.” | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000118.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 \"Starting his career at DreamWorks Animation, Don Allen III is a multidisciplinary creator, speaker and consultant who collaborates with major tech and entertainment companies on mixed reality, virtual reality and AI applications. “For a long time I've been making augmented reality hybrid creatures that I think would be fun combinations in my head. Now I have a much easier way of prototyping the ideas before I fully build out the 3-D characters to place in spatial computers.” Don cites Sora’s “weirdness” as its greatest strength: “It’s not bound by traditional laws of physics or conventions of thought.” He says that working with Sora shifted his focus from “technical hurdles to pure creativity…unlocking a world of instant visualization and rapid prototyping.” At the same time, Don says “I feel like this allows me to focus more of my time and energy in the right places… and the emotional impact that I would like my characters to have.”\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2001582 | [
"2001582_00.jpg",
"2001582_01.jpg",
"2001582_02.jpg",
"2001582_03.jpg",
"2001582_04.jpg",
"2001582_05.jpg",
"2001582_06.jpg",
"2001582_07.jpg",
"2001582_08.jpg",
"2001582_09.jpg",
"2001582_10.jpg",
"2001582_11.jpg",
"2001582_12.jpg",
"2001582_13.jpg",
"2001582_14.jpg",
"2001582_15.jpg"
] | a crowd of thousands of happy danes with golden crowns, golden crowns falling from the sky, confetti and balloon | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001582.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 crowd of thousands of happy danes with golden crowns, golden crowns falling from the sky, confetti and balloon\",\nall the frames of video are as 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"
}
] |
6004421 | [
"6004421_00.jpg",
"6004421_01.jpg",
"6004421_02.jpg",
"6004421_03.jpg",
"6004421_04.jpg",
"6004421_05.jpg",
"6004421_06.jpg",
"6004421_07.jpg",
"6004421_08.jpg",
"6004421_09.jpg",
"6004421_10.jpg",
"6004421_11.jpg",
"6004421_12.jpg",
"6004421_13.jpg",
"6004421_14.jpg",
"6004421_15.jpg"
] | An Asian lady is running by the lake at Albert Park in Melbourne, Australia in a beautiful morning | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004421.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 \"An Asian lady is running by the lake at Albert Park in Melbourne, Australia in a beautiful morning\",\nall the frames of video are as 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"
}
] |
5000427 | [
"5000427_00.jpg",
"5000427_01.jpg",
"5000427_02.jpg",
"5000427_03.jpg",
"5000427_04.jpg",
"5000427_05.jpg",
"5000427_06.jpg",
"5000427_07.jpg",
"5000427_08.jpg",
"5000427_09.jpg",
"5000427_10.jpg",
"5000427_11.jpg",
"5000427_12.jpg",
"5000427_13.jpg",
"5000427_14.jpg",
"5000427_15.jpg"
] | Create a video a intro video clip for Behealthy life | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000427.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 \"Create a video a intro video clip for Behealthy life\",\nall the frames of video are as 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"
}
] |
9000498 | [
"9000498_00.jpg",
"9000498_01.jpg",
"9000498_02.jpg",
"9000498_03.jpg",
"9000498_04.jpg",
"9000498_05.jpg",
"9000498_06.jpg",
"9000498_07.jpg",
"9000498_08.jpg",
"9000498_09.jpg",
"9000498_10.jpg",
"9000498_11.jpg",
"9000498_12.jpg",
"9000498_13.jpg",
"9000498_14.jpg",
"9000498_15.jpg",
"9000498_16.jpg",
"9000498_17.jpg",
"9000498_18.jpg",
"9000498_19.jpg",
"9000498_20.jpg",
"9000498_21.jpg",
"9000498_22.jpg",
"9000498_23.jpg"
] | loop of a girl floating in the space with no space suit | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000498.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 \"loop of a girl floating in the space with no space suit\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
7003288 | [
"7003288_00.jpg",
"7003288_01.jpg",
"7003288_02.jpg",
"7003288_03.jpg",
"7003288_04.jpg",
"7003288_05.jpg",
"7003288_06.jpg",
"7003288_07.jpg"
] | An alien shaking hands with the president of the USA. Cinematographic scene, wide shot, and lighting play. Hyper realistic 4k. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003288.mp4 | 3 | 3 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"An alien shaking hands with the president of the USA. Cinematographic scene, wide shot, and lighting play. Hyper realistic 4k.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1003193 | [
"1003193_00.jpg",
"1003193_01.jpg",
"1003193_02.jpg",
"1003193_03.jpg",
"1003193_04.jpg",
"1003193_05.jpg",
"1003193_06.jpg",
"1003193_07.jpg",
"1003193_08.jpg",
"1003193_09.jpg",
"1003193_10.jpg",
"1003193_11.jpg",
"1003193_12.jpg",
"1003193_13.jpg",
"1003193_14.jpg",
"1003193_15.jpg"
] | rabbit faces carved in stone 4k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003193.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 \"rabbit faces carved in stone 4k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3001612 | [
"3001612_00.jpg",
"3001612_01.jpg",
"3001612_02.jpg",
"3001612_03.jpg",
"3001612_04.jpg",
"3001612_05.jpg",
"3001612_06.jpg",
"3001612_07.jpg",
"3001612_08.jpg",
"3001612_09.jpg",
"3001612_10.jpg",
"3001612_11.jpg",
"3001612_12.jpg",
"3001612_13.jpg",
"3001612_14.jpg",
"3001612_15.jpg"
] | generate image of cartoon rocket going to space | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001612.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 \"generate image of cartoon rocket going to space\",\nall the frames of video are as 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"
}
] |
5000009 | [
"5000009_00.jpg",
"5000009_01.jpg",
"5000009_02.jpg",
"5000009_03.jpg",
"5000009_04.jpg",
"5000009_05.jpg",
"5000009_06.jpg",
"5000009_07.jpg",
"5000009_08.jpg",
"5000009_09.jpg",
"5000009_10.jpg",
"5000009_11.jpg",
"5000009_12.jpg",
"5000009_13.jpg",
"5000009_14.jpg",
"5000009_15.jpg"
] | man dancing with girlfriend at a lively wedding party, cinematic, epic, 4k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000009.mp4 | 3 | 3 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"man dancing with girlfriend at a lively wedding party, cinematic, epic, 4k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
6001651 | [
"6001651_00.jpg",
"6001651_01.jpg",
"6001651_02.jpg",
"6001651_03.jpg",
"6001651_04.jpg",
"6001651_05.jpg",
"6001651_06.jpg",
"6001651_07.jpg",
"6001651_08.jpg",
"6001651_09.jpg",
"6001651_10.jpg",
"6001651_11.jpg",
"6001651_12.jpg",
"6001651_13.jpg",
"6001651_14.jpg",
"6001651_15.jpg"
] | the monument Bayterek in Pavlodar city | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001651.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 monument Bayterek in Pavlodar city\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
6001560 | [
"6001560_00.jpg",
"6001560_01.jpg",
"6001560_02.jpg",
"6001560_03.jpg",
"6001560_04.jpg",
"6001560_05.jpg",
"6001560_06.jpg",
"6001560_07.jpg",
"6001560_08.jpg",
"6001560_09.jpg",
"6001560_10.jpg",
"6001560_11.jpg",
"6001560_12.jpg",
"6001560_13.jpg",
"6001560_14.jpg",
"6001560_15.jpg"
] | Swordsman, tall mountains, ravines, white snow, flying birds, river, strong wind, white clouds | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001560.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 \"Swordsman, tall mountains, ravines, white snow, flying birds, river, strong wind, white clouds\",\nall the frames of video are as 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"
}
] |
8000730 | [
"8000730_00.jpg",
"8000730_01.jpg",
"8000730_02.jpg",
"8000730_03.jpg",
"8000730_04.jpg",
"8000730_05.jpg",
"8000730_06.jpg",
"8000730_07.jpg",
"8000730_08.jpg",
"8000730_09.jpg",
"8000730_10.jpg",
"8000730_11.jpg",
"8000730_12.jpg",
"8000730_13.jpg",
"8000730_14.jpg",
"8000730_15.jpg",
"8000730_16.jpg",
"8000730_17.jpg",
"8000730_18.jpg",
"8000730_19.jpg",
"8000730_20.jpg",
"8000730_21.jpg",
"8000730_22.jpg",
"8000730_23.jpg"
] | a keyboard | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000730.mp4 | 1 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a keyboard\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0006186 | [
"0006186_00.jpg",
"0006186_01.jpg",
"0006186_02.jpg",
"0006186_03.jpg",
"0006186_04.jpg",
"0006186_05.jpg",
"0006186_06.jpg",
"0006186_07.jpg",
"0006186_08.jpg",
"0006186_09.jpg",
"0006186_10.jpg",
"0006186_11.jpg",
"0006186_12.jpg",
"0006186_13.jpg",
"0006186_14.jpg",
"0006186_15.jpg",
"0006186_16.jpg",
"0006186_17.jpg",
"0006186_18.jpg",
"0006186_19.jpg",
"0006186_20.jpg",
"0006186_21.jpg",
"0006186_22.jpg",
"0006186_23.jpg"
] | space program mission, 1970s documentary style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006186.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 \"space program mission, 1970s documentary style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2003171 | [
"2003171_00.jpg",
"2003171_01.jpg",
"2003171_02.jpg",
"2003171_03.jpg",
"2003171_04.jpg",
"2003171_05.jpg",
"2003171_06.jpg",
"2003171_07.jpg",
"2003171_08.jpg",
"2003171_09.jpg",
"2003171_10.jpg",
"2003171_11.jpg",
"2003171_12.jpg",
"2003171_13.jpg",
"2003171_14.jpg",
"2003171_15.jpg"
] | A housewife woman watching tv, dreaming of food | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003171.mp4 | 2 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A housewife woman watching tv, dreaming of food\",\nall the frames of video are as 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"
}
] |
2000235 | [
"2000235_00.jpg",
"2000235_01.jpg",
"2000235_02.jpg",
"2000235_03.jpg",
"2000235_04.jpg",
"2000235_05.jpg",
"2000235_06.jpg",
"2000235_07.jpg",
"2000235_08.jpg",
"2000235_09.jpg",
"2000235_10.jpg",
"2000235_11.jpg",
"2000235_12.jpg",
"2000235_13.jpg",
"2000235_14.jpg",
"2000235_15.jpg"
] | batman si down on the tower | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000235.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 \"batman si down on the tower\",\nall the frames of video are as 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"
}
] |
4001561 | [
"4001561_00.jpg",
"4001561_01.jpg",
"4001561_02.jpg",
"4001561_03.jpg",
"4001561_04.jpg",
"4001561_05.jpg",
"4001561_06.jpg",
"4001561_07.jpg",
"4001561_08.jpg",
"4001561_09.jpg",
"4001561_10.jpg",
"4001561_11.jpg",
"4001561_12.jpg",
"4001561_13.jpg",
"4001561_14.jpg",
"4001561_15.jpg"
] | Two Chinese monks walked out of the temple hall together | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001561.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 \"Two Chinese monks walked out of the temple hall together\",\nall the frames of video are as 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"
}
] |
8002228 | [
"8002228_00.jpg",
"8002228_01.jpg",
"8002228_02.jpg",
"8002228_03.jpg",
"8002228_04.jpg",
"8002228_05.jpg",
"8002228_06.jpg",
"8002228_07.jpg",
"8002228_08.jpg",
"8002228_09.jpg",
"8002228_10.jpg",
"8002228_11.jpg",
"8002228_12.jpg",
"8002228_13.jpg",
"8002228_14.jpg",
"8002228_15.jpg",
"8002228_16.jpg",
"8002228_17.jpg",
"8002228_18.jpg",
"8002228_19.jpg",
"8002228_20.jpg",
"8002228_21.jpg",
"8002228_22.jpg",
"8002228_23.jpg"
] | a refrigerator and skis | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002228.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 refrigerator and skis\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
8000520 | [
"8000520_00.jpg",
"8000520_01.jpg",
"8000520_02.jpg",
"8000520_03.jpg",
"8000520_04.jpg",
"8000520_05.jpg",
"8000520_06.jpg",
"8000520_07.jpg",
"8000520_08.jpg",
"8000520_09.jpg",
"8000520_10.jpg",
"8000520_11.jpg",
"8000520_12.jpg",
"8000520_13.jpg",
"8000520_14.jpg",
"8000520_15.jpg",
"8000520_16.jpg",
"8000520_17.jpg",
"8000520_18.jpg",
"8000520_19.jpg",
"8000520_20.jpg",
"8000520_21.jpg",
"8000520_22.jpg",
"8000520_23.jpg"
] | pixar toy story woody jump and run in the room | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000520.mp4 | 1 | 3 | 2 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"pixar toy story woody jump and run in 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: 1\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
6004478 | [
"6004478_00.jpg",
"6004478_01.jpg",
"6004478_02.jpg",
"6004478_03.jpg",
"6004478_04.jpg",
"6004478_05.jpg",
"6004478_06.jpg",
"6004478_07.jpg",
"6004478_08.jpg",
"6004478_09.jpg",
"6004478_10.jpg",
"6004478_11.jpg",
"6004478_12.jpg",
"6004478_13.jpg",
"6004478_14.jpg",
"6004478_15.jpg"
] | In ancient China, there are many Chinese people migrating by a river, beacon smoke, fire, ruined ruins, ruins, 16K, masterpieces, fine pictures, | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004478.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 ancient China, there are many Chinese people migrating by a river, beacon smoke, fire, ruined ruins, ruins, 16K, masterpieces, fine pictures,\",\nall the frames of video are as 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"
}
] |
0000822 | [
"0000822_00.jpg",
"0000822_01.jpg",
"0000822_02.jpg",
"0000822_03.jpg",
"0000822_04.jpg",
"0000822_05.jpg",
"0000822_06.jpg",
"0000822_07.jpg",
"0000822_08.jpg",
"0000822_09.jpg",
"0000822_10.jpg",
"0000822_11.jpg",
"0000822_12.jpg",
"0000822_13.jpg",
"0000822_14.jpg",
"0000822_15.jpg",
"0000822_16.jpg",
"0000822_17.jpg",
"0000822_18.jpg",
"0000822_19.jpg",
"0000822_20.jpg",
"0000822_21.jpg",
"0000822_22.jpg",
"0000822_23.jpg"
] | ronaldo scoring penalty goal against messi | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000822.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 \"ronaldo scoring penalty goal against messi\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
7003862 | [
"7003862_00.jpg",
"7003862_01.jpg",
"7003862_02.jpg",
"7003862_03.jpg",
"7003862_04.jpg",
"7003862_05.jpg",
"7003862_06.jpg",
"7003862_07.jpg"
] | The kitten has been playing in the river all the time | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003862.mp4 | 3 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The kitten has been playing in the river all the time\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1001309 | [
"1001309_00.jpg",
"1001309_01.jpg",
"1001309_02.jpg",
"1001309_03.jpg",
"1001309_04.jpg",
"1001309_05.jpg",
"1001309_06.jpg",
"1001309_07.jpg",
"1001309_08.jpg",
"1001309_09.jpg",
"1001309_10.jpg",
"1001309_11.jpg",
"1001309_12.jpg",
"1001309_13.jpg",
"1001309_14.jpg",
"1001309_15.jpg"
] | An airplane that emits radio signal waves | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001309.mp4 | 1 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"An airplane that emits radio signal waves\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
5000862 | [
"5000862_00.jpg",
"5000862_01.jpg",
"5000862_02.jpg",
"5000862_03.jpg",
"5000862_04.jpg",
"5000862_05.jpg",
"5000862_06.jpg",
"5000862_07.jpg",
"5000862_08.jpg",
"5000862_09.jpg",
"5000862_10.jpg",
"5000862_11.jpg",
"5000862_12.jpg",
"5000862_13.jpg",
"5000862_14.jpg",
"5000862_15.jpg"
] | video of a person getting fitted for a dental device to treat sleep apnea | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000862.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 \"video of a person getting fitted for a dental device to treat sleep apnea\",\nall the frames of video are as 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"
}
] |
8000796 | [
"8000796_00.jpg",
"8000796_01.jpg",
"8000796_02.jpg",
"8000796_03.jpg",
"8000796_04.jpg",
"8000796_05.jpg",
"8000796_06.jpg",
"8000796_07.jpg",
"8000796_08.jpg",
"8000796_09.jpg",
"8000796_10.jpg",
"8000796_11.jpg",
"8000796_12.jpg",
"8000796_13.jpg",
"8000796_14.jpg",
"8000796_15.jpg",
"8000796_16.jpg",
"8000796_17.jpg",
"8000796_18.jpg",
"8000796_19.jpg",
"8000796_20.jpg",
"8000796_21.jpg",
"8000796_22.jpg",
"8000796_23.jpg"
] | Few big purple plums rotating on the turntable | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000796.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 \"Few big purple plums rotating on the turntable\",\nall the 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"
}
] |
2003107 | [
"2003107_00.jpg",
"2003107_01.jpg",
"2003107_02.jpg",
"2003107_03.jpg",
"2003107_04.jpg",
"2003107_05.jpg",
"2003107_06.jpg",
"2003107_07.jpg",
"2003107_08.jpg",
"2003107_09.jpg",
"2003107_10.jpg",
"2003107_11.jpg",
"2003107_12.jpg",
"2003107_13.jpg",
"2003107_14.jpg",
"2003107_15.jpg"
] | a tall tree that covers the whole earth, inspired by the book of Daniel. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003107.mp4 | 3 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a tall tree that covers the whole earth, inspired by the book of Daniel.\",\nall the frames of video are as 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"
}
] |
1006654 | [
"1006654_00.jpg",
"1006654_01.jpg",
"1006654_02.jpg",
"1006654_03.jpg",
"1006654_04.jpg",
"1006654_05.jpg",
"1006654_06.jpg",
"1006654_07.jpg",
"1006654_08.jpg",
"1006654_09.jpg",
"1006654_10.jpg",
"1006654_11.jpg",
"1006654_12.jpg",
"1006654_13.jpg",
"1006654_14.jpg",
"1006654_15.jpg"
] | an image where Opera House building is built in Louis Kahn style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006654.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"an image where Opera House building is built in Louis Kahn style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0004166 | [
"0004166_00.jpg",
"0004166_01.jpg",
"0004166_02.jpg",
"0004166_03.jpg",
"0004166_04.jpg",
"0004166_05.jpg",
"0004166_06.jpg",
"0004166_07.jpg",
"0004166_08.jpg",
"0004166_09.jpg",
"0004166_10.jpg",
"0004166_11.jpg",
"0004166_12.jpg",
"0004166_13.jpg",
"0004166_14.jpg",
"0004166_15.jpg",
"0004166_16.jpg",
"0004166_17.jpg",
"0004166_18.jpg",
"0004166_19.jpg",
"0004166_20.jpg",
"0004166_21.jpg",
"0004166_22.jpg",
"0004166_23.jpg"
] | Robot dancing in Times Square | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004166.mp4 | 3 | 2 | 2 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Robot dancing in Times 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: 3\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
6004932 | [
"6004932_00.jpg",
"6004932_01.jpg",
"6004932_02.jpg",
"6004932_03.jpg",
"6004932_04.jpg",
"6004932_05.jpg",
"6004932_06.jpg",
"6004932_07.jpg",
"6004932_08.jpg",
"6004932_09.jpg",
"6004932_10.jpg",
"6004932_11.jpg",
"6004932_12.jpg",
"6004932_13.jpg",
"6004932_14.jpg",
"6004932_15.jpg"
] | No prompt | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004932.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 \"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: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
s000443 | [
"s000443_00.jpg",
"s000443_01.jpg",
"s000443_02.jpg",
"s000443_03.jpg",
"s000443_04.jpg",
"s000443_05.jpg",
"s000443_06.jpg",
"s000443_07.jpg",
"s000443_08.jpg",
"s000443_09.jpg",
"s000443_10.jpg",
"s000443_11.jpg",
"s000443_12.jpg",
"s000443_13.jpg",
"s000443_14.jpg",
"s000443_15.jpg",
"s000443_16.jpg",
"s000443_17.jpg",
"s000443_18.jpg",
"s000443_19.jpg"
] | People are blessing and cheering for this couple | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000443.mp4 | 4 | 4 | 4 | 0 | 4 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"People are blessing and cheering for this couple\",\nall the 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"
}
] |
0003899 | [
"0003899_00.jpg",
"0003899_01.jpg",
"0003899_02.jpg",
"0003899_03.jpg",
"0003899_04.jpg",
"0003899_05.jpg",
"0003899_06.jpg",
"0003899_07.jpg",
"0003899_08.jpg",
"0003899_09.jpg",
"0003899_10.jpg",
"0003899_11.jpg",
"0003899_12.jpg",
"0003899_13.jpg",
"0003899_14.jpg",
"0003899_15.jpg",
"0003899_16.jpg",
"0003899_17.jpg",
"0003899_18.jpg",
"0003899_19.jpg",
"0003899_20.jpg",
"0003899_21.jpg",
"0003899_22.jpg",
"0003899_23.jpg"
] | man eats bucket with ice cream after brake up | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003899.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 eats bucket with ice cream after brake up\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1006513 | [
"1006513_00.jpg",
"1006513_01.jpg",
"1006513_02.jpg",
"1006513_03.jpg",
"1006513_04.jpg",
"1006513_05.jpg",
"1006513_06.jpg",
"1006513_07.jpg",
"1006513_08.jpg",
"1006513_09.jpg",
"1006513_10.jpg",
"1006513_11.jpg",
"1006513_12.jpg",
"1006513_13.jpg",
"1006513_14.jpg",
"1006513_15.jpg"
] | closeup of a hand opening a broken door, darkblue background, mist | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006513.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 \"closeup of a hand opening a broken door, darkblue background, mist\",\nall the frames of video are as 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"
}
] |
7003763 | [
"7003763_00.jpg",
"7003763_01.jpg",
"7003763_02.jpg",
"7003763_03.jpg",
"7003763_04.jpg",
"7003763_05.jpg",
"7003763_06.jpg",
"7003763_07.jpg"
] | wet jungle move left to right | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003763.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 \"wet jungle move left to right\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
4001126 | [
"4001126_00.jpg",
"4001126_01.jpg",
"4001126_02.jpg",
"4001126_03.jpg",
"4001126_04.jpg",
"4001126_05.jpg",
"4001126_06.jpg",
"4001126_07.jpg",
"4001126_08.jpg",
"4001126_09.jpg",
"4001126_10.jpg",
"4001126_11.jpg",
"4001126_12.jpg",
"4001126_13.jpg",
"4001126_14.jpg",
"4001126_15.jpg"
] | As they gradually approached the heart of the forest, the enchanted silence grew even more profound. It was no longer just something they observed; it was something they felt deep within their souls. The absence of sounds from birds, the stillness of the wind, and the peculiar tranquility of nature were all signs that this forest was truly extraordinary. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001126.mp4 | 3 | 1 | 1 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"As they gradually approached the heart of the forest, the enchanted silence grew even more profound. It was no longer just something they observed; it was something they felt deep within their souls. The absence of sounds from birds, the stillness of the wind, and the peculiar tranquility of nature were all signs that this forest was truly extraordinary.\",\nall the frames of video are as 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: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6004793 | [
"6004793_00.jpg",
"6004793_01.jpg",
"6004793_02.jpg",
"6004793_03.jpg",
"6004793_04.jpg",
"6004793_05.jpg",
"6004793_06.jpg",
"6004793_07.jpg",
"6004793_08.jpg",
"6004793_09.jpg",
"6004793_10.jpg",
"6004793_11.jpg",
"6004793_12.jpg",
"6004793_13.jpg",
"6004793_14.jpg",
"6004793_15.jpg"
] | Cinematic action shot of Pop Music Star Bad Bunny driving a sports car, empty city street environment | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004793.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 \"Cinematic action shot of Pop Music Star Bad Bunny driving a sports car, empty city street environment\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
1004913 | [
"1004913_00.jpg",
"1004913_01.jpg",
"1004913_02.jpg",
"1004913_03.jpg",
"1004913_04.jpg",
"1004913_05.jpg",
"1004913_06.jpg",
"1004913_07.jpg",
"1004913_08.jpg",
"1004913_09.jpg",
"1004913_10.jpg",
"1004913_11.jpg",
"1004913_12.jpg",
"1004913_13.jpg",
"1004913_14.jpg",
"1004913_15.jpg"
] | cinematic shot of a Greek warriors coming with a letter | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004913.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 \"cinematic shot of a Greek warriors coming with a letter\",\nall the frames of video are as 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"
}
] |
7000226 | [
"7000226_00.jpg",
"7000226_01.jpg",
"7000226_02.jpg",
"7000226_03.jpg",
"7000226_04.jpg",
"7000226_05.jpg",
"7000226_06.jpg",
"7000226_07.jpg"
] | one small chicken coming out from an egg at sea shore | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000226.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 \"one small chicken coming out from an egg at sea shore\",\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"
}
] |
0000964 | [
"0000964_00.jpg",
"0000964_01.jpg",
"0000964_02.jpg",
"0000964_03.jpg",
"0000964_04.jpg",
"0000964_05.jpg",
"0000964_06.jpg",
"0000964_07.jpg",
"0000964_08.jpg",
"0000964_09.jpg",
"0000964_10.jpg",
"0000964_11.jpg",
"0000964_12.jpg",
"0000964_13.jpg",
"0000964_14.jpg",
"0000964_15.jpg",
"0000964_16.jpg",
"0000964_17.jpg",
"0000964_18.jpg",
"0000964_19.jpg",
"0000964_20.jpg",
"0000964_21.jpg",
"0000964_22.jpg",
"0000964_23.jpg"
] | Generate an image of a dimly lit room with bare walls and no windows. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000964.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 \"Generate an image of a dimly lit room with bare walls and no windows.\",\nall the 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"
] | Boy running through a field of butterflies in ireland | 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 \"Boy running through a field of butterflies in ireland\",\nall the frames of video are as 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"
}
] |
1000961 | [
"1000961_00.jpg",
"1000961_01.jpg",
"1000961_02.jpg",
"1000961_03.jpg",
"1000961_04.jpg",
"1000961_05.jpg",
"1000961_06.jpg",
"1000961_07.jpg",
"1000961_08.jpg",
"1000961_09.jpg",
"1000961_10.jpg",
"1000961_11.jpg",
"1000961_12.jpg",
"1000961_13.jpg",
"1000961_14.jpg",
"1000961_15.jpg"
] | Visual: A montage of services (SEO, Sales Funnels, Advertising, Optimization) being applied to a website. Purpose: To showcase the range of services offered. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000961.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 \"Visual: A montage of services (SEO, Sales Funnels, Advertising, Optimization) being applied to a website. Purpose: To showcase the range of services offered.\",\nall the frames of video are as 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"
}
] |
2005303 | [
"2005303_00.jpg",
"2005303_01.jpg",
"2005303_02.jpg",
"2005303_03.jpg",
"2005303_04.jpg",
"2005303_05.jpg",
"2005303_06.jpg",
"2005303_07.jpg",
"2005303_08.jpg",
"2005303_09.jpg",
"2005303_10.jpg",
"2005303_11.jpg",
"2005303_12.jpg",
"2005303_13.jpg",
"2005303_14.jpg",
"2005303_15.jpg"
] | animate a surreal dance of the alien creatures | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005303.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 \"animate a surreal dance of the alien creatures\",\nall the frames of video are as 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"
}
] |
3002029 | [
"3002029_00.jpg",
"3002029_01.jpg",
"3002029_02.jpg",
"3002029_03.jpg",
"3002029_04.jpg",
"3002029_05.jpg",
"3002029_06.jpg",
"3002029_07.jpg",
"3002029_08.jpg",
"3002029_09.jpg",
"3002029_10.jpg",
"3002029_11.jpg",
"3002029_12.jpg",
"3002029_13.jpg",
"3002029_14.jpg",
"3002029_15.jpg"
] | pile of paper clips Message: grammar (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002029.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 \"pile of paper clips Message: grammar (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
0002821 | [
"0002821_00.jpg",
"0002821_01.jpg",
"0002821_02.jpg",
"0002821_03.jpg",
"0002821_04.jpg",
"0002821_05.jpg",
"0002821_06.jpg",
"0002821_07.jpg",
"0002821_08.jpg",
"0002821_09.jpg",
"0002821_10.jpg",
"0002821_11.jpg",
"0002821_12.jpg",
"0002821_13.jpg",
"0002821_14.jpg",
"0002821_15.jpg",
"0002821_16.jpg",
"0002821_17.jpg",
"0002821_18.jpg",
"0002821_19.jpg",
"0002821_20.jpg",
"0002821_21.jpg",
"0002821_22.jpg",
"0002821_23.jpg"
] | Generate an image of a fierce Manipuri Meitei warrior in traditional attire, standing proudly with a sword or spear, showcasing their bravery and valor. Capture the essence of their cultural heritage and warrior spirit in the artwork | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002821.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 \"Generate an image of a fierce Manipuri Meitei warrior in traditional attire, standing proudly with a sword or spear, showcasing their bravery and valor. Capture the essence of their cultural heritage and warrior spirit in the artwork\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0001896 | [
"0001896_00.jpg",
"0001896_01.jpg",
"0001896_02.jpg",
"0001896_03.jpg",
"0001896_04.jpg",
"0001896_05.jpg",
"0001896_06.jpg",
"0001896_07.jpg",
"0001896_08.jpg",
"0001896_09.jpg",
"0001896_10.jpg",
"0001896_11.jpg",
"0001896_12.jpg",
"0001896_13.jpg",
"0001896_14.jpg",
"0001896_15.jpg",
"0001896_16.jpg",
"0001896_17.jpg",
"0001896_18.jpg",
"0001896_19.jpg",
"0001896_20.jpg",
"0001896_21.jpg",
"0001896_22.jpg",
"0001896_23.jpg"
] | warhammer 40000 dark ambient gothic steampunk futuristic horror. soldiers marching past destroyed demons. misty heavy industrial Biomechanical art, heavy industrial | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001896.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 \"warhammer 40000 dark ambient gothic steampunk futuristic horror. soldiers marching past destroyed demons. misty heavy industrial Biomechanical art, heavy industrial\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
9000194 | [
"9000194_00.jpg",
"9000194_01.jpg",
"9000194_02.jpg",
"9000194_03.jpg",
"9000194_04.jpg",
"9000194_05.jpg",
"9000194_06.jpg",
"9000194_07.jpg",
"9000194_08.jpg",
"9000194_09.jpg",
"9000194_10.jpg",
"9000194_11.jpg",
"9000194_12.jpg",
"9000194_13.jpg",
"9000194_14.jpg",
"9000194_15.jpg",
"9000194_16.jpg",
"9000194_17.jpg",
"9000194_18.jpg",
"9000194_19.jpg",
"9000194_20.jpg",
"9000194_21.jpg",
"9000194_22.jpg",
"9000194_23.jpg"
] | a recording from 50s, a giant cat running in the middle of a tiny city, action scene | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000194.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 recording from 50s, a giant cat running in the middle of a tiny city, action 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"
}
] |
0000591 | [
"0000591_00.jpg",
"0000591_01.jpg",
"0000591_02.jpg",
"0000591_03.jpg",
"0000591_04.jpg",
"0000591_05.jpg",
"0000591_06.jpg",
"0000591_07.jpg",
"0000591_08.jpg",
"0000591_09.jpg",
"0000591_10.jpg",
"0000591_11.jpg",
"0000591_12.jpg",
"0000591_13.jpg",
"0000591_14.jpg",
"0000591_15.jpg",
"0000591_16.jpg",
"0000591_17.jpg",
"0000591_18.jpg",
"0000591_19.jpg",
"0000591_20.jpg",
"0000591_21.jpg",
"0000591_22.jpg",
"0000591_23.jpg"
] | a full body raw video of a pirate in the ship, raining, cinematic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000591.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 full body raw video of a pirate in the ship, raining, cinematic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
7004256 | [
"7004256_00.jpg",
"7004256_01.jpg",
"7004256_02.jpg",
"7004256_03.jpg",
"7004256_04.jpg",
"7004256_05.jpg",
"7004256_06.jpg",
"7004256_07.jpg"
] | it was a long time ago | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004256.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 \"it was a long time ago\",\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: 1\n"
}
] |
6004904 | [
"6004904_00.jpg",
"6004904_01.jpg",
"6004904_02.jpg",
"6004904_03.jpg",
"6004904_04.jpg",
"6004904_05.jpg",
"6004904_06.jpg",
"6004904_07.jpg",
"6004904_08.jpg",
"6004904_09.jpg",
"6004904_10.jpg",
"6004904_11.jpg",
"6004904_12.jpg",
"6004904_13.jpg",
"6004904_14.jpg",
"6004904_15.jpg"
] | A panda drinking coffee in a cafe in Paris | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004904.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 panda drinking coffee in a cafe in Paris\",\nall the frames of video are as 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"
}
] |
6002919 | [
"6002919_00.jpg",
"6002919_01.jpg",
"6002919_02.jpg",
"6002919_03.jpg",
"6002919_04.jpg",
"6002919_05.jpg",
"6002919_06.jpg",
"6002919_07.jpg",
"6002919_08.jpg",
"6002919_09.jpg",
"6002919_10.jpg",
"6002919_11.jpg",
"6002919_12.jpg",
"6002919_13.jpg",
"6002919_14.jpg",
"6002919_15.jpg"
] | halloween ambiencea scary old broken down room with a strange entity inside, 4k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002919.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 \"halloween ambiencea scary old broken down room with a strange entity inside, 4k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
9000622 | [
"9000622_00.jpg",
"9000622_01.jpg",
"9000622_02.jpg",
"9000622_03.jpg",
"9000622_04.jpg",
"9000622_05.jpg",
"9000622_06.jpg",
"9000622_07.jpg",
"9000622_08.jpg",
"9000622_09.jpg",
"9000622_10.jpg",
"9000622_11.jpg",
"9000622_12.jpg",
"9000622_13.jpg",
"9000622_14.jpg",
"9000622_15.jpg",
"9000622_16.jpg",
"9000622_17.jpg",
"9000622_18.jpg",
"9000622_19.jpg",
"9000622_20.jpg",
"9000622_21.jpg",
"9000622_22.jpg",
"9000622_23.jpg"
] | In the city of the future, a group of spaceships are hovering in the sky around a laboratory in the center of the city. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000622.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 \"In the city of the future, a group of spaceships are hovering in the sky around a laboratory in the center of the city.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
2002120 | [
"2002120_00.jpg",
"2002120_01.jpg",
"2002120_02.jpg",
"2002120_03.jpg",
"2002120_04.jpg",
"2002120_05.jpg",
"2002120_06.jpg",
"2002120_07.jpg",
"2002120_08.jpg",
"2002120_09.jpg",
"2002120_10.jpg",
"2002120_11.jpg",
"2002120_12.jpg",
"2002120_13.jpg",
"2002120_14.jpg",
"2002120_15.jpg"
] | A Fast moving Boat with a Man On it in Ocean 16:9 of 60 Seconds | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002120.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 Fast moving Boat with a Man On it in Ocean 16:9 of 60 Seconds\",\nall the frames of video are as 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"
}
] |
4000177 | [
"4000177_00.jpg",
"4000177_01.jpg",
"4000177_02.jpg",
"4000177_03.jpg",
"4000177_04.jpg",
"4000177_05.jpg",
"4000177_06.jpg",
"4000177_07.jpg",
"4000177_08.jpg",
"4000177_09.jpg",
"4000177_10.jpg",
"4000177_11.jpg",
"4000177_12.jpg",
"4000177_13.jpg",
"4000177_14.jpg",
"4000177_15.jpg"
] | 4k, realistic, fantasy, 3d, carnival, scarry, fun, happy, morphing out of a tv | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000177.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 \"4k, realistic, fantasy, 3d, carnival, scarry, fun, happy, morphing out of a tv\",\nall the frames of video are as 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"
}
] |
0002911 | [
"0002911_00.jpg",
"0002911_01.jpg",
"0002911_02.jpg",
"0002911_03.jpg",
"0002911_04.jpg",
"0002911_05.jpg",
"0002911_06.jpg",
"0002911_07.jpg",
"0002911_08.jpg",
"0002911_09.jpg",
"0002911_10.jpg",
"0002911_11.jpg",
"0002911_12.jpg",
"0002911_13.jpg",
"0002911_14.jpg",
"0002911_15.jpg",
"0002911_16.jpg",
"0002911_17.jpg",
"0002911_18.jpg",
"0002911_19.jpg",
"0002911_20.jpg",
"0002911_21.jpg",
"0002911_22.jpg",
"0002911_23.jpg"
] | An image of divine wings extended, sheltering and enveloping an individual, with beams of light radiating them. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002911.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 \"An image of divine wings extended, sheltering and enveloping an individual, with beams of light radiating them.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3000156 | [
"3000156_00.jpg",
"3000156_01.jpg",
"3000156_02.jpg",
"3000156_03.jpg",
"3000156_04.jpg",
"3000156_05.jpg",
"3000156_06.jpg",
"3000156_07.jpg",
"3000156_08.jpg",
"3000156_09.jpg",
"3000156_10.jpg",
"3000156_11.jpg",
"3000156_12.jpg",
"3000156_13.jpg",
"3000156_14.jpg",
"3000156_15.jpg"
] | Visualize massaging shampoo into your hair | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000156.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 \"Visualize massaging shampoo into your hair\",\nall the frames of video are as 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"
}
] |
7001601 | [
"7001601_00.jpg",
"7001601_01.jpg",
"7001601_02.jpg",
"7001601_03.jpg",
"7001601_04.jpg",
"7001601_05.jpg",
"7001601_06.jpg",
"7001601_07.jpg"
] | 3d animated movement , lock ness monster realistic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001601.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 \"3d animated movement , lock ness monster realistic\",\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"
}
] |
3005029 | [
"3005029_00.jpg",
"3005029_01.jpg",
"3005029_02.jpg",
"3005029_03.jpg",
"3005029_04.jpg",
"3005029_05.jpg",
"3005029_06.jpg",
"3005029_07.jpg",
"3005029_08.jpg",
"3005029_09.jpg",
"3005029_10.jpg",
"3005029_11.jpg",
"3005029_12.jpg",
"3005029_13.jpg",
"3005029_14.jpg",
"3005029_15.jpg"
] | coffee beans are spilled to a cuplof coffee Message: coffee (Font: SANS SERIF) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005029.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 \"coffee beans are spilled to a cuplof coffee Message: coffee (Font: SANS SERIF)\",\nall the frames of video are as 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"
}
] |
4004701 | [
"4004701_00.jpg",
"4004701_01.jpg",
"4004701_02.jpg",
"4004701_03.jpg",
"4004701_04.jpg",
"4004701_05.jpg",
"4004701_06.jpg",
"4004701_07.jpg",
"4004701_08.jpg",
"4004701_09.jpg",
"4004701_10.jpg",
"4004701_11.jpg",
"4004701_12.jpg",
"4004701_13.jpg",
"4004701_14.jpg",
"4004701_15.jpg"
] | man showing NAFDAC number on a bottle of coke | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004701.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 \"man showing NAFDAC number on a bottle of coke\",\nall the frames of video are as 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"
}
] |
7000674 | [
"7000674_00.jpg",
"7000674_01.jpg",
"7000674_02.jpg",
"7000674_03.jpg",
"7000674_04.jpg",
"7000674_05.jpg",
"7000674_06.jpg",
"7000674_07.jpg"
] | A man is standing in front of a mirror, applying the perfume. Voiceover: Versace Eros EDT is a magnetic, seductive fragrance for men. It is a blend of citrus, floral, and woody notes that create a heady, intoxicating aroma. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000674.mp4 | 2 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A man is standing in front of a mirror, applying the perfume. Voiceover: Versace Eros EDT is a magnetic, seductive fragrance for men. It is a blend of citrus, floral, and woody notes that create a heady, intoxicating aroma.\",\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"
}
] |
8000261 | [
"8000261_00.jpg",
"8000261_01.jpg",
"8000261_02.jpg",
"8000261_03.jpg",
"8000261_04.jpg",
"8000261_05.jpg",
"8000261_06.jpg",
"8000261_07.jpg",
"8000261_08.jpg",
"8000261_09.jpg",
"8000261_10.jpg",
"8000261_11.jpg",
"8000261_12.jpg",
"8000261_13.jpg",
"8000261_14.jpg",
"8000261_15.jpg",
"8000261_16.jpg",
"8000261_17.jpg",
"8000261_18.jpg",
"8000261_19.jpg",
"8000261_20.jpg",
"8000261_21.jpg",
"8000261_22.jpg",
"8000261_23.jpg"
] | bgc 14 jela and shannon fighting, girl fight | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000261.mp4 | 1 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"bgc 14 jela and shannon fighting, girl fight\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
9000849 | [
"9000849_00.jpg",
"9000849_01.jpg",
"9000849_02.jpg",
"9000849_03.jpg",
"9000849_04.jpg",
"9000849_05.jpg",
"9000849_06.jpg",
"9000849_07.jpg",
"9000849_08.jpg",
"9000849_09.jpg",
"9000849_10.jpg",
"9000849_11.jpg",
"9000849_12.jpg",
"9000849_13.jpg",
"9000849_14.jpg",
"9000849_15.jpg",
"9000849_16.jpg",
"9000849_17.jpg",
"9000849_18.jpg",
"9000849_19.jpg",
"9000849_20.jpg",
"9000849_21.jpg",
"9000849_22.jpg",
"9000849_23.jpg"
] | a solitary man, observed from behind, gazing across a river. The person appears lonesome, deep in contemplation. The surroundings are enveloped in darkness, with mist hanging in the air and rain falling gently. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000849.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 solitary man, observed from behind, gazing across a river. The person appears lonesome, deep in contemplation. The surroundings are enveloped in darkness, with mist hanging in the air and rain falling gently.\",\nall the 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"
}
] |
6000242 | [
"6000242_00.jpg",
"6000242_01.jpg",
"6000242_02.jpg",
"6000242_03.jpg",
"6000242_04.jpg",
"6000242_05.jpg",
"6000242_06.jpg",
"6000242_07.jpg",
"6000242_08.jpg",
"6000242_09.jpg",
"6000242_10.jpg",
"6000242_11.jpg",
"6000242_12.jpg",
"6000242_13.jpg",
"6000242_14.jpg",
"6000242_15.jpg"
] | In a stunning display of virtuosity, reimagine the timeless masterpiece as the enigmatic Mona Lisa takes a mesmerizing stroll through a bustling Italian piazza, captured with unparalleled realism and intricate detail. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000242.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 \"In a stunning display of virtuosity, reimagine the timeless masterpiece as the enigmatic Mona Lisa takes a mesmerizing stroll through a bustling Italian piazza, captured with unparalleled realism and intricate detail.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
6001150 | [
"6001150_00.jpg",
"6001150_01.jpg",
"6001150_02.jpg",
"6001150_03.jpg",
"6001150_04.jpg",
"6001150_05.jpg",
"6001150_06.jpg",
"6001150_07.jpg",
"6001150_08.jpg",
"6001150_09.jpg",
"6001150_10.jpg",
"6001150_11.jpg",
"6001150_12.jpg",
"6001150_13.jpg",
"6001150_14.jpg",
"6001150_15.jpg"
] | A lock that feels very sturdy and has a sense of technology | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001150.mp4 | 3 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A lock that feels very sturdy and has a sense of technology\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
6003262 | [
"6003262_00.jpg",
"6003262_01.jpg",
"6003262_02.jpg",
"6003262_03.jpg",
"6003262_04.jpg",
"6003262_05.jpg",
"6003262_06.jpg",
"6003262_07.jpg",
"6003262_08.jpg",
"6003262_09.jpg",
"6003262_10.jpg",
"6003262_11.jpg",
"6003262_12.jpg",
"6003262_13.jpg",
"6003262_14.jpg",
"6003262_15.jpg"
] | : Fish mentoring the young fish and sharing his wisdom. cartoon style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003262.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 \": Fish mentoring the young fish and sharing his wisdom. cartoon style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
7003009 | [
"7003009_00.jpg",
"7003009_01.jpg",
"7003009_02.jpg",
"7003009_03.jpg",
"7003009_04.jpg",
"7003009_05.jpg",
"7003009_06.jpg",
"7003009_07.jpg"
] | julius ceasar and his army marching in ancient roman times | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003009.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 \"julius ceasar and his army marching in ancient roman times\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
0006158 | [
"0006158_00.jpg",
"0006158_01.jpg",
"0006158_02.jpg",
"0006158_03.jpg",
"0006158_04.jpg",
"0006158_05.jpg",
"0006158_06.jpg",
"0006158_07.jpg",
"0006158_08.jpg",
"0006158_09.jpg",
"0006158_10.jpg",
"0006158_11.jpg",
"0006158_12.jpg",
"0006158_13.jpg",
"0006158_14.jpg",
"0006158_15.jpg",
"0006158_16.jpg",
"0006158_17.jpg",
"0006158_18.jpg",
"0006158_19.jpg",
"0006158_20.jpg",
"0006158_21.jpg",
"0006158_22.jpg",
"0006158_23.jpg"
] | Majestic lion walking through the African savannah | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006158.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 \"Majestic lion walking through the African savannah\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
0000694 | [
"0000694_00.jpg",
"0000694_01.jpg",
"0000694_02.jpg",
"0000694_03.jpg",
"0000694_04.jpg",
"0000694_05.jpg",
"0000694_06.jpg",
"0000694_07.jpg",
"0000694_08.jpg",
"0000694_09.jpg",
"0000694_10.jpg",
"0000694_11.jpg",
"0000694_12.jpg",
"0000694_13.jpg",
"0000694_14.jpg",
"0000694_15.jpg",
"0000694_16.jpg",
"0000694_17.jpg",
"0000694_18.jpg",
"0000694_19.jpg",
"0000694_20.jpg",
"0000694_21.jpg",
"0000694_22.jpg",
"0000694_23.jpg"
] | Show glimpses of the enchanted creatures of Aviaria coming together to prepare for the Grand Avian Gala. Capture scenes of them decorating the central clearing with ethereal elements and creating an enchanting stage for the upcoming festivities. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000694.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 \"Show glimpses of the enchanted creatures of Aviaria coming together to prepare for the Grand Avian Gala. Capture scenes of them decorating the central clearing with ethereal elements and creating an enchanting stage for the upcoming festivities.\",\nall the 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"
}
] |
0000359 | [
"0000359_00.jpg",
"0000359_01.jpg",
"0000359_02.jpg",
"0000359_03.jpg",
"0000359_04.jpg",
"0000359_05.jpg",
"0000359_06.jpg",
"0000359_07.jpg",
"0000359_08.jpg",
"0000359_09.jpg",
"0000359_10.jpg",
"0000359_11.jpg",
"0000359_12.jpg",
"0000359_13.jpg",
"0000359_14.jpg",
"0000359_15.jpg",
"0000359_16.jpg",
"0000359_17.jpg",
"0000359_18.jpg",
"0000359_19.jpg",
"0000359_20.jpg",
"0000359_21.jpg",
"0000359_22.jpg",
"0000359_23.jpg"
] | Liberty City being destroyed by a volcano | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000359.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 \"Liberty City being destroyed by a volcano\",\nall the 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"
}
] |
8000976 | [
"8000976_00.jpg",
"8000976_01.jpg",
"8000976_02.jpg",
"8000976_03.jpg",
"8000976_04.jpg",
"8000976_05.jpg",
"8000976_06.jpg",
"8000976_07.jpg",
"8000976_08.jpg",
"8000976_09.jpg",
"8000976_10.jpg",
"8000976_11.jpg",
"8000976_12.jpg",
"8000976_13.jpg",
"8000976_14.jpg",
"8000976_15.jpg",
"8000976_16.jpg",
"8000976_17.jpg",
"8000976_18.jpg",
"8000976_19.jpg",
"8000976_20.jpg",
"8000976_21.jpg",
"8000976_22.jpg",
"8000976_23.jpg"
] | A broken heart wrapped in cables and wires, faintly pulsating. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000976.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 broken heart wrapped in cables and wires, faintly pulsating.\",\nall the 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"
}
] |
0002031 | [
"0002031_00.jpg",
"0002031_01.jpg",
"0002031_02.jpg",
"0002031_03.jpg",
"0002031_04.jpg",
"0002031_05.jpg",
"0002031_06.jpg",
"0002031_07.jpg",
"0002031_08.jpg",
"0002031_09.jpg",
"0002031_10.jpg",
"0002031_11.jpg",
"0002031_12.jpg",
"0002031_13.jpg",
"0002031_14.jpg",
"0002031_15.jpg",
"0002031_16.jpg",
"0002031_17.jpg",
"0002031_18.jpg",
"0002031_19.jpg",
"0002031_20.jpg",
"0002031_21.jpg",
"0002031_22.jpg",
"0002031_23.jpg"
] | a world within a world within a world within a world within a world | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002031.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 world within a world within a world within a world within a world\",\nall the 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"
}
] |
0004661 | [
"0004661_00.jpg",
"0004661_01.jpg",
"0004661_02.jpg",
"0004661_03.jpg",
"0004661_04.jpg",
"0004661_05.jpg",
"0004661_06.jpg",
"0004661_07.jpg",
"0004661_08.jpg",
"0004661_09.jpg",
"0004661_10.jpg",
"0004661_11.jpg",
"0004661_12.jpg",
"0004661_13.jpg",
"0004661_14.jpg",
"0004661_15.jpg",
"0004661_16.jpg",
"0004661_17.jpg",
"0004661_18.jpg",
"0004661_19.jpg",
"0004661_20.jpg",
"0004661_21.jpg",
"0004661_22.jpg",
"0004661_23.jpg"
] | father hugh your son bible style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004661.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 \"father hugh your son bible style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0002990 | [
"0002990_00.jpg",
"0002990_01.jpg",
"0002990_02.jpg",
"0002990_03.jpg",
"0002990_04.jpg",
"0002990_05.jpg",
"0002990_06.jpg",
"0002990_07.jpg",
"0002990_08.jpg",
"0002990_09.jpg",
"0002990_10.jpg",
"0002990_11.jpg",
"0002990_12.jpg",
"0002990_13.jpg",
"0002990_14.jpg",
"0002990_15.jpg",
"0002990_16.jpg",
"0002990_17.jpg",
"0002990_18.jpg",
"0002990_19.jpg",
"0002990_20.jpg",
"0002990_21.jpg",
"0002990_22.jpg",
"0002990_23.jpg"
] | continous research of life forms by the scientist | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002990.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 \"continous research of life forms by the scientist\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
s000188 | [
"s000188_00.jpg",
"s000188_01.jpg",
"s000188_02.jpg",
"s000188_03.jpg",
"s000188_04.jpg",
"s000188_05.jpg",
"s000188_06.jpg",
"s000188_07.jpg",
"s000188_08.jpg",
"s000188_09.jpg",
"s000188_10.jpg",
"s000188_11.jpg",
"s000188_12.jpg",
"s000188_13.jpg",
"s000188_14.jpg",
"s000188_15.jpg",
"s000188_16.jpg",
"s000188_17.jpg",
"s000188_18.jpg",
"s000188_19.jpg",
"s000188_20.jpg",
"s000188_21.jpg",
"s000188_22.jpg",
"s000188_23.jpg"
] | a photorealistic video of a butterfly that can swim navigating underwater through a beautiful coral reef | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000188.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 \"a photorealistic video of a butterfly that can swim navigating underwater through a beautiful coral reef\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n"
}
] |
4004319 | [
"4004319_00.jpg",
"4004319_01.jpg",
"4004319_02.jpg",
"4004319_03.jpg",
"4004319_04.jpg",
"4004319_05.jpg",
"4004319_06.jpg",
"4004319_07.jpg",
"4004319_08.jpg",
"4004319_09.jpg",
"4004319_10.jpg",
"4004319_11.jpg",
"4004319_12.jpg",
"4004319_13.jpg",
"4004319_14.jpg",
"4004319_15.jpg"
] | Eye of the Tiger Zoo edit ft King Monkey, Tired Tiger, and Snapping Turtle | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004319.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 \"Eye of the Tiger Zoo edit ft King Monkey, Tired Tiger, and Snapping 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> "
},
{
"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"
}
] |
0002077 | [
"0002077_00.jpg",
"0002077_01.jpg",
"0002077_02.jpg",
"0002077_03.jpg",
"0002077_04.jpg",
"0002077_05.jpg",
"0002077_06.jpg",
"0002077_07.jpg",
"0002077_08.jpg",
"0002077_09.jpg",
"0002077_10.jpg",
"0002077_11.jpg",
"0002077_12.jpg",
"0002077_13.jpg",
"0002077_14.jpg",
"0002077_15.jpg",
"0002077_16.jpg",
"0002077_17.jpg",
"0002077_18.jpg",
"0002077_19.jpg",
"0002077_20.jpg",
"0002077_21.jpg",
"0002077_22.jpg",
"0002077_23.jpg"
] | an dacia logan in front of the white house | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002077.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 \"an dacia logan in front of the white house\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
2000579 | [
"2000579_00.jpg",
"2000579_01.jpg",
"2000579_02.jpg",
"2000579_03.jpg",
"2000579_04.jpg",
"2000579_05.jpg",
"2000579_06.jpg",
"2000579_07.jpg",
"2000579_08.jpg",
"2000579_09.jpg",
"2000579_10.jpg",
"2000579_11.jpg",
"2000579_12.jpg",
"2000579_13.jpg",
"2000579_14.jpg",
"2000579_15.jpg"
] | The image transitions to the boy at the riverbank, carefully selecting the most beautiful pebbles | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000579.mp4 | 2 | 3 | 1 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The image transitions to the boy at the riverbank, carefully selecting the most beautiful pebbles\",\nall the frames of video are as 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"
}
] |
s000210 | [
"s000210_00.jpg",
"s000210_01.jpg",
"s000210_02.jpg",
"s000210_03.jpg",
"s000210_04.jpg",
"s000210_05.jpg",
"s000210_06.jpg",
"s000210_07.jpg",
"s000210_08.jpg",
"s000210_09.jpg",
"s000210_10.jpg",
"s000210_11.jpg",
"s000210_12.jpg",
"s000210_13.jpg",
"s000210_14.jpg",
"s000210_15.jpg",
"s000210_16.jpg",
"s000210_17.jpg",
"s000210_18.jpg",
"s000210_19.jpg",
"s000210_20.jpg",
"s000210_21.jpg",
"s000210_22.jpg",
"s000210_23.jpg"
] | water drop on plant sprout refreshing | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000210.mp4 | 4 | 4 | 2 | 0 | 4 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"water drop on plant sprout refreshing\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 4\n"
}
] |
3005521 | [
"3005521_00.jpg",
"3005521_01.jpg",
"3005521_02.jpg",
"3005521_03.jpg",
"3005521_04.jpg",
"3005521_05.jpg",
"3005521_06.jpg",
"3005521_07.jpg",
"3005521_08.jpg",
"3005521_09.jpg",
"3005521_10.jpg",
"3005521_11.jpg",
"3005521_12.jpg",
"3005521_13.jpg",
"3005521_14.jpg",
"3005521_15.jpg"
] | View fron inside brain Illuminates in yellow the different areas of the frontal lobe, amygdala and hippocampus. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005521.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 \"View fron inside brain Illuminates in yellow the different areas of the frontal lobe, amygdala and hippocampus.\",\nall the frames of video are as 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"
}
] |
8001313 | [
"8001313_00.jpg",
"8001313_01.jpg",
"8001313_02.jpg",
"8001313_03.jpg",
"8001313_04.jpg",
"8001313_05.jpg",
"8001313_06.jpg",
"8001313_07.jpg",
"8001313_08.jpg",
"8001313_09.jpg",
"8001313_10.jpg",
"8001313_11.jpg",
"8001313_12.jpg",
"8001313_13.jpg",
"8001313_14.jpg",
"8001313_15.jpg",
"8001313_16.jpg",
"8001313_17.jpg",
"8001313_18.jpg",
"8001313_19.jpg",
"8001313_20.jpg",
"8001313_21.jpg",
"8001313_22.jpg",
"8001313_23.jpg"
] | a fire hydrant and a stop sign | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001313.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 fire hydrant and a stop sign\",\nall the 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"
}
] |
3002717 | [
"3002717_00.jpg",
"3002717_01.jpg",
"3002717_02.jpg",
"3002717_03.jpg",
"3002717_04.jpg",
"3002717_05.jpg",
"3002717_06.jpg",
"3002717_07.jpg",
"3002717_08.jpg",
"3002717_09.jpg",
"3002717_10.jpg",
"3002717_11.jpg",
"3002717_12.jpg",
"3002717_13.jpg",
"3002717_14.jpg",
"3002717_15.jpg"
] | wong kar wai movies edits pieced together 4k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002717.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 \"wong kar wai movies edits pieced together 4k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
1000440 | [
"1000440_00.jpg",
"1000440_01.jpg",
"1000440_02.jpg",
"1000440_03.jpg",
"1000440_04.jpg",
"1000440_05.jpg",
"1000440_06.jpg",
"1000440_07.jpg",
"1000440_08.jpg",
"1000440_09.jpg",
"1000440_10.jpg",
"1000440_11.jpg",
"1000440_12.jpg",
"1000440_13.jpg",
"1000440_14.jpg",
"1000440_15.jpg"
] | Two patients and a doctor standing face to face talking to each other | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000440.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 \"Two patients and a doctor standing face to face talking to each other\",\nall the frames of video are as 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"
}
] |
3001064 | [
"3001064_00.jpg",
"3001064_01.jpg",
"3001064_02.jpg",
"3001064_03.jpg",
"3001064_04.jpg",
"3001064_05.jpg",
"3001064_06.jpg",
"3001064_07.jpg",
"3001064_08.jpg",
"3001064_09.jpg",
"3001064_10.jpg",
"3001064_11.jpg",
"3001064_12.jpg",
"3001064_13.jpg",
"3001064_14.jpg",
"3001064_15.jpg"
] | Skateboarder kid with a toupe is rolling down an LA hill, a giant rock boulder is rolling down the hill towards the skateboarding kid | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001064.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 \"Skateboarder kid with a toupe is rolling down an LA hill, a giant rock boulder is rolling down the hill towards the skateboarding kid\",\nall the frames of video are as 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"
}
] |
4001975 | [
"4001975_00.jpg",
"4001975_01.jpg",
"4001975_02.jpg",
"4001975_03.jpg",
"4001975_04.jpg",
"4001975_05.jpg",
"4001975_06.jpg",
"4001975_07.jpg",
"4001975_08.jpg",
"4001975_09.jpg",
"4001975_10.jpg",
"4001975_11.jpg",
"4001975_12.jpg",
"4001975_13.jpg",
"4001975_14.jpg",
"4001975_15.jpg"
] | A bustling metropolis in Nigeria, vibrant and full of life, with residents of diverse backgrounds engaging in various activities that symbolize peace and unity. A breathtaking mural adorns the background, depicting their shared vision of progress, with vivid colors and intricate details. The cityscape is alive with energy, as people go about their daily lives, showcasing the vibrant culture and spirit of the community | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001975.mp4 | 2 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A bustling metropolis in Nigeria, vibrant and full of life, with residents of diverse backgrounds engaging in various activities that symbolize peace and unity. A breathtaking mural adorns the background, depicting their shared vision of progress, with vivid colors and intricate details. The cityscape is alive with energy, as people go about their daily lives, showcasing the vibrant culture and spirit of the community\",\nall the frames of video are as 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"
}
] |
2006806 | [
"2006806_00.jpg",
"2006806_01.jpg",
"2006806_02.jpg",
"2006806_03.jpg",
"2006806_04.jpg",
"2006806_05.jpg",
"2006806_06.jpg",
"2006806_07.jpg",
"2006806_08.jpg",
"2006806_09.jpg",
"2006806_10.jpg",
"2006806_11.jpg",
"2006806_12.jpg",
"2006806_13.jpg",
"2006806_14.jpg",
"2006806_15.jpg"
] | drops of circular gold liquid lights as large as jupiter in reflection nebula | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006806.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 \"drops of circular gold liquid lights as large as jupiter in reflection nebula\",\nall the frames of video are as 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"
}
] |
4000444 | [
"4000444_00.jpg",
"4000444_01.jpg",
"4000444_02.jpg",
"4000444_03.jpg",
"4000444_04.jpg",
"4000444_05.jpg",
"4000444_06.jpg",
"4000444_07.jpg",
"4000444_08.jpg",
"4000444_09.jpg",
"4000444_10.jpg",
"4000444_11.jpg",
"4000444_12.jpg",
"4000444_13.jpg",
"4000444_14.jpg",
"4000444_15.jpg"
] | uncle canardia coding on computer and drinking sandels beer | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000444.mp4 | 3 | 1 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"uncle canardia coding on computer and drinking sandels beer\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6000939 | [
"6000939_00.jpg",
"6000939_01.jpg",
"6000939_02.jpg",
"6000939_03.jpg",
"6000939_04.jpg",
"6000939_05.jpg",
"6000939_06.jpg",
"6000939_07.jpg",
"6000939_08.jpg",
"6000939_09.jpg",
"6000939_10.jpg",
"6000939_11.jpg",
"6000939_12.jpg",
"6000939_13.jpg",
"6000939_14.jpg",
"6000939_15.jpg"
] | As news of the Quantum Gauntlet spreads, | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000939.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"As news of the Quantum Gauntlet spreads,\",\nall the frames of video are as 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"
}
] |
3002558 | [
"3002558_00.jpg",
"3002558_01.jpg",
"3002558_02.jpg",
"3002558_03.jpg",
"3002558_04.jpg",
"3002558_05.jpg",
"3002558_06.jpg",
"3002558_07.jpg",
"3002558_08.jpg",
"3002558_09.jpg",
"3002558_10.jpg",
"3002558_11.jpg",
"3002558_12.jpg",
"3002558_13.jpg",
"3002558_14.jpg",
"3002558_15.jpg"
] | Ultra detailed beautiful female android, side portrait, sharp focus, highly detailed vfx portrait, geometric shapes, global illumination, by james jean and moebius and artgerm and liam brazier and victo ngai and tristan eaton. vector art, digital illustration, concept art, dia de los muertos. 8 k, hdr | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002558.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 \"Ultra detailed beautiful female android, side portrait, sharp focus, highly detailed vfx portrait, geometric shapes, global illumination, by james jean and moebius and artgerm and liam brazier and victo ngai and tristan eaton. vector art, digital illustration, concept art, dia de los muertos. 8 k, hdr\",\nall the frames of video are as 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"
}
] |
4002422 | [
"4002422_00.jpg",
"4002422_01.jpg",
"4002422_02.jpg",
"4002422_03.jpg",
"4002422_04.jpg",
"4002422_05.jpg",
"4002422_06.jpg",
"4002422_07.jpg",
"4002422_08.jpg",
"4002422_09.jpg",
"4002422_10.jpg",
"4002422_11.jpg",
"4002422_12.jpg",
"4002422_13.jpg",
"4002422_14.jpg",
"4002422_15.jpg"
] | foot Bath, beautiful foot Bath hub in Turkish style, feets in water | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002422.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 \"foot Bath, beautiful foot Bath hub in Turkish style, feets in water\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
Subsets and Splits