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
|
---|---|---|---|---|---|---|---|---|---|
0004159 | [
"0004159_00.jpg",
"0004159_01.jpg",
"0004159_02.jpg",
"0004159_03.jpg",
"0004159_04.jpg",
"0004159_05.jpg",
"0004159_06.jpg",
"0004159_07.jpg",
"0004159_08.jpg",
"0004159_09.jpg",
"0004159_10.jpg",
"0004159_11.jpg",
"0004159_12.jpg",
"0004159_13.jpg",
"0004159_14.jpg",
"0004159_15.jpg",
"0004159_16.jpg",
"0004159_17.jpg",
"0004159_18.jpg",
"0004159_19.jpg",
"0004159_20.jpg",
"0004159_21.jpg",
"0004159_22.jpg",
"0004159_23.jpg"
] | NOTE REMOVE ONE O FROM THE WORD ZOOO | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004159.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 \"NOTE REMOVE ONE O FROM THE WORD ZOOO\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
4000780 | [
"4000780_00.jpg",
"4000780_01.jpg",
"4000780_02.jpg",
"4000780_03.jpg",
"4000780_04.jpg",
"4000780_05.jpg",
"4000780_06.jpg",
"4000780_07.jpg",
"4000780_08.jpg",
"4000780_09.jpg",
"4000780_10.jpg",
"4000780_11.jpg",
"4000780_12.jpg",
"4000780_13.jpg",
"4000780_14.jpg",
"4000780_15.jpg"
] | Anime girl gives birth in hospital | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000780.mp4 | 3 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Anime girl gives birth in hospital\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
7000086 | [
"7000086_00.jpg",
"7000086_01.jpg",
"7000086_02.jpg",
"7000086_03.jpg",
"7000086_04.jpg",
"7000086_05.jpg",
"7000086_06.jpg",
"7000086_07.jpg"
] | create a video in 16:9 format, where a lonely man with a guitar is standing in the middle of the frame, and around the night and a thunderstorm | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000086.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 \"create a video in 16:9 format, where a lonely man with a guitar is standing in the middle of the frame, and around the night and a thunderstorm\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0001349 | [
"0001349_00.jpg",
"0001349_01.jpg",
"0001349_02.jpg",
"0001349_03.jpg",
"0001349_04.jpg",
"0001349_05.jpg",
"0001349_06.jpg",
"0001349_07.jpg",
"0001349_08.jpg",
"0001349_09.jpg",
"0001349_10.jpg",
"0001349_11.jpg",
"0001349_12.jpg",
"0001349_13.jpg",
"0001349_14.jpg",
"0001349_15.jpg",
"0001349_16.jpg",
"0001349_17.jpg",
"0001349_18.jpg",
"0001349_19.jpg",
"0001349_20.jpg",
"0001349_21.jpg",
"0001349_22.jpg",
"0001349_23.jpg"
] | a plane traveling from Denmark to Ethiopia on a globe | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001349.mp4 | 2 | 3 | 1 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a plane traveling from Denmark to Ethiopia on a globe\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
2003088 | [
"2003088_00.jpg",
"2003088_01.jpg",
"2003088_02.jpg",
"2003088_03.jpg",
"2003088_04.jpg",
"2003088_05.jpg",
"2003088_06.jpg",
"2003088_07.jpg",
"2003088_08.jpg",
"2003088_09.jpg",
"2003088_10.jpg",
"2003088_11.jpg",
"2003088_12.jpg",
"2003088_13.jpg",
"2003088_14.jpg",
"2003088_15.jpg"
] | 2x move around, news room, 5x zoom INN, inside the news room,
moving around, ultra 3D, cinematic, modern news studio over moving cloud, clear mirror, News room studio, red, white, blue, zoom out, dreamland studio, HD, 4k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003088.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 \"2x move around, news room, 5x zoom INN, inside the news room,\nmoving around, ultra 3D, cinematic, modern news studio over moving cloud, clear mirror, News room studio, red, white, blue, zoom out, dreamland studio, HD, 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: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
3004393 | [
"3004393_00.jpg",
"3004393_01.jpg",
"3004393_02.jpg",
"3004393_03.jpg",
"3004393_04.jpg",
"3004393_05.jpg",
"3004393_06.jpg",
"3004393_07.jpg",
"3004393_08.jpg",
"3004393_09.jpg",
"3004393_10.jpg",
"3004393_11.jpg",
"3004393_12.jpg",
"3004393_13.jpg",
"3004393_14.jpg",
"3004393_15.jpg"
] | A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. she wears a black leather jacket, a long red dress, and black boots, and carries a black purse. she wears sunglasses and red lipstick. she walks confidently and casually. the street is damp and reflective, creating a mirror effect of the colorful lights. many pedestrians walk about. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004393.mp4 | 1 | 2 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. she wears a black leather jacket, a long red dress, and black boots, and carries a black purse. she wears sunglasses and red lipstick. she walks confidently and casually. the street is damp and reflective, creating a mirror effect of the colorful lights. many pedestrians walk about.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
3002673 | [
"3002673_00.jpg",
"3002673_01.jpg",
"3002673_02.jpg",
"3002673_03.jpg",
"3002673_04.jpg",
"3002673_05.jpg",
"3002673_06.jpg",
"3002673_07.jpg",
"3002673_08.jpg",
"3002673_09.jpg",
"3002673_10.jpg",
"3002673_11.jpg",
"3002673_12.jpg",
"3002673_13.jpg",
"3002673_14.jpg",
"3002673_15.jpg"
] | a sea monster that rises out of the water during a storm, with lightning, movie style, movie, dark style, horror movie, realistic, 4k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002673.mp4 | 2 | 1 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a sea monster that rises out of the water during a storm, with lightning, movie style, movie, dark style, horror movie, realistic, 4k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
4001219 | [
"4001219_00.jpg",
"4001219_01.jpg",
"4001219_02.jpg",
"4001219_03.jpg",
"4001219_04.jpg",
"4001219_05.jpg",
"4001219_06.jpg",
"4001219_07.jpg",
"4001219_08.jpg",
"4001219_09.jpg",
"4001219_10.jpg",
"4001219_11.jpg",
"4001219_12.jpg",
"4001219_13.jpg",
"4001219_14.jpg",
"4001219_15.jpg"
] | Elon Musk fighting box in Kremlin with Conor McGregor king, 8k quality | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001219.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 \"Elon Musk fighting box in Kremlin with Conor McGregor king, 8k quality\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6004330 | [
"6004330_00.jpg",
"6004330_01.jpg",
"6004330_02.jpg",
"6004330_03.jpg",
"6004330_04.jpg",
"6004330_05.jpg",
"6004330_06.jpg",
"6004330_07.jpg",
"6004330_08.jpg",
"6004330_09.jpg",
"6004330_10.jpg",
"6004330_11.jpg",
"6004330_12.jpg",
"6004330_13.jpg",
"6004330_14.jpg",
"6004330_15.jpg"
] | woman in full growth, spinning in a dress. Against the background of stands with clothes | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004330.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 \"woman in full growth, spinning in a dress. Against the background of stands with clothes\",\nall the frames of video are as 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"
}
] |
7002560 | [
"7002560_00.jpg",
"7002560_01.jpg",
"7002560_02.jpg",
"7002560_03.jpg",
"7002560_04.jpg",
"7002560_05.jpg",
"7002560_06.jpg",
"7002560_07.jpg"
] | Hyperrealistic cranberries products such as juice or cranberries in bowl put on the table | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002560.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 \"Hyperrealistic cranberries products such as juice or cranberries in bowl put on the table\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
4004457 | [
"4004457_00.jpg",
"4004457_01.jpg",
"4004457_02.jpg",
"4004457_03.jpg",
"4004457_04.jpg",
"4004457_05.jpg",
"4004457_06.jpg",
"4004457_07.jpg",
"4004457_08.jpg",
"4004457_09.jpg",
"4004457_10.jpg",
"4004457_11.jpg",
"4004457_12.jpg",
"4004457_13.jpg",
"4004457_14.jpg",
"4004457_15.jpg"
] | a woman hanging from a cliff | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004457.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 woman hanging from a cliff\",\nall the frames of video are as 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"
}
] |
1006452 | [
"1006452_00.jpg",
"1006452_01.jpg",
"1006452_02.jpg",
"1006452_03.jpg",
"1006452_04.jpg",
"1006452_05.jpg",
"1006452_06.jpg",
"1006452_07.jpg",
"1006452_08.jpg",
"1006452_09.jpg",
"1006452_10.jpg",
"1006452_11.jpg",
"1006452_12.jpg",
"1006452_13.jpg",
"1006452_14.jpg",
"1006452_15.jpg"
] | chasing culprits through slum, speed movements,camera follows, camera zooms and out, vertigo shot, coimbatore slum, | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006452.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 \"chasing culprits through slum, speed movements,camera follows, camera zooms and out, vertigo shot, coimbatore slum,\",\nall the frames of video are as 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"
}
] |
6000379 | [
"6000379_00.jpg",
"6000379_01.jpg",
"6000379_02.jpg",
"6000379_03.jpg",
"6000379_04.jpg",
"6000379_05.jpg",
"6000379_06.jpg",
"6000379_07.jpg",
"6000379_08.jpg",
"6000379_09.jpg",
"6000379_10.jpg",
"6000379_11.jpg",
"6000379_12.jpg",
"6000379_13.jpg",
"6000379_14.jpg",
"6000379_15.jpg"
] | A House of Wax, in a hundred degree weather, UHD, 32K 16:9 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000379.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A House of Wax, in a hundred degree weather, UHD, 32K 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"
}
] |
8000087 | [
"8000087_00.jpg",
"8000087_01.jpg",
"8000087_02.jpg",
"8000087_03.jpg",
"8000087_04.jpg",
"8000087_05.jpg",
"8000087_06.jpg",
"8000087_07.jpg",
"8000087_08.jpg",
"8000087_09.jpg",
"8000087_10.jpg",
"8000087_11.jpg",
"8000087_12.jpg",
"8000087_13.jpg",
"8000087_14.jpg",
"8000087_15.jpg",
"8000087_16.jpg",
"8000087_17.jpg",
"8000087_18.jpg",
"8000087_19.jpg",
"8000087_20.jpg",
"8000087_21.jpg",
"8000087_22.jpg",
"8000087_23.jpg"
] | magical crystals floating and spinning in the air, behance, by Oskar Schlemmer, prismatic, invisible | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000087.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 \"magical crystals floating and spinning in the air, behance, by Oskar Schlemmer, prismatic, invisible\",\nall the 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"
}
] |
3002420 | [
"3002420_00.jpg",
"3002420_01.jpg",
"3002420_02.jpg",
"3002420_03.jpg",
"3002420_04.jpg",
"3002420_05.jpg",
"3002420_06.jpg",
"3002420_07.jpg",
"3002420_08.jpg",
"3002420_09.jpg",
"3002420_10.jpg",
"3002420_11.jpg",
"3002420_12.jpg",
"3002420_13.jpg",
"3002420_14.jpg",
"3002420_15.jpg"
] | A boy holds a girl who is about to fall on the edge of a cliff | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002420.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 boy holds a girl who is about to fall on the edge of a cliff\",\nall the frames of video are as 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"
}
] |
8000932 | [
"8000932_00.jpg",
"8000932_01.jpg",
"8000932_02.jpg",
"8000932_03.jpg",
"8000932_04.jpg",
"8000932_05.jpg",
"8000932_06.jpg",
"8000932_07.jpg",
"8000932_08.jpg",
"8000932_09.jpg",
"8000932_10.jpg",
"8000932_11.jpg",
"8000932_12.jpg",
"8000932_13.jpg",
"8000932_14.jpg",
"8000932_15.jpg",
"8000932_16.jpg",
"8000932_17.jpg",
"8000932_18.jpg",
"8000932_19.jpg",
"8000932_20.jpg",
"8000932_21.jpg",
"8000932_22.jpg",
"8000932_23.jpg"
] | Create a guys wearing running in the desert | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000932.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Create a guys wearing running in the desert\",\nall the 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"
}
] |
4004190 | [
"4004190_00.jpg",
"4004190_01.jpg",
"4004190_02.jpg",
"4004190_03.jpg",
"4004190_04.jpg",
"4004190_05.jpg",
"4004190_06.jpg",
"4004190_07.jpg",
"4004190_08.jpg",
"4004190_09.jpg",
"4004190_10.jpg",
"4004190_11.jpg",
"4004190_12.jpg",
"4004190_13.jpg",
"4004190_14.jpg",
"4004190_15.jpg"
] | solar home converter day to night | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004190.mp4 | 1 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"solar home converter day to night\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1000646 | [
"1000646_00.jpg",
"1000646_01.jpg",
"1000646_02.jpg",
"1000646_03.jpg",
"1000646_04.jpg",
"1000646_05.jpg",
"1000646_06.jpg",
"1000646_07.jpg",
"1000646_08.jpg",
"1000646_09.jpg",
"1000646_10.jpg",
"1000646_11.jpg",
"1000646_12.jpg",
"1000646_13.jpg",
"1000646_14.jpg",
"1000646_15.jpg"
] | a wizard dancing in a forest, 3d animation style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000646.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 wizard dancing in a forest, 3d animation style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2004294 | [
"2004294_00.jpg",
"2004294_01.jpg",
"2004294_02.jpg",
"2004294_03.jpg",
"2004294_04.jpg",
"2004294_05.jpg",
"2004294_06.jpg",
"2004294_07.jpg",
"2004294_08.jpg",
"2004294_09.jpg",
"2004294_10.jpg",
"2004294_11.jpg",
"2004294_12.jpg",
"2004294_13.jpg",
"2004294_14.jpg",
"2004294_15.jpg"
] | a magnificent detail black crow igniting into an amazing flaming Phoenix. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004294.mp4 | 3 | 3 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a magnificent detail black crow igniting into an amazing flaming Phoenix.\",\nall the frames of video are as 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"
}
] |
7004131 | [
"7004131_00.jpg",
"7004131_01.jpg",
"7004131_02.jpg",
"7004131_03.jpg",
"7004131_04.jpg",
"7004131_05.jpg",
"7004131_06.jpg",
"7004131_07.jpg"
] | underground secret entrance to Area 51 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004131.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 \"underground secret entrance to Area 51\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
7003421 | [
"7003421_00.jpg",
"7003421_01.jpg",
"7003421_02.jpg",
"7003421_03.jpg",
"7003421_04.jpg",
"7003421_05.jpg",
"7003421_06.jpg",
"7003421_07.jpg"
] | a depressed man in a dark night looking broke, in a dark street of a big city, sad and lonely, looking hurt and giving up. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003421.mp4 | 1 | 2 | 2 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a depressed man in a dark night looking broke, in a dark street of a big city, sad and lonely, looking hurt and giving up.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1001931 | [
"1001931_00.jpg",
"1001931_01.jpg",
"1001931_02.jpg",
"1001931_03.jpg",
"1001931_04.jpg",
"1001931_05.jpg",
"1001931_06.jpg",
"1001931_07.jpg",
"1001931_08.jpg",
"1001931_09.jpg",
"1001931_10.jpg",
"1001931_11.jpg",
"1001931_12.jpg",
"1001931_13.jpg",
"1001931_14.jpg",
"1001931_15.jpg"
] | Sparky the Super Squirrel: An video of Sparky, the squirrel with a tiny shiny cape, looking brave and ready for an adventure. Aminated 4k 3D | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001931.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 \"Sparky the Super Squirrel: An video of Sparky, the squirrel with a tiny shiny cape, looking brave and ready for an adventure. Aminated 4k 3D\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2003586 | [
"2003586_00.jpg",
"2003586_01.jpg",
"2003586_02.jpg",
"2003586_03.jpg",
"2003586_04.jpg",
"2003586_05.jpg",
"2003586_06.jpg",
"2003586_07.jpg",
"2003586_08.jpg",
"2003586_09.jpg",
"2003586_10.jpg",
"2003586_11.jpg",
"2003586_12.jpg",
"2003586_13.jpg",
"2003586_14.jpg",
"2003586_15.jpg"
] | an illustration Milton Glaser style of a big mouth door | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003586.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 \"an illustration Milton Glaser style of a big mouth door\",\nall the frames of video are as 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"
}
] |
2001800 | [
"2001800_00.jpg",
"2001800_01.jpg",
"2001800_02.jpg",
"2001800_03.jpg",
"2001800_04.jpg",
"2001800_05.jpg",
"2001800_06.jpg",
"2001800_07.jpg",
"2001800_08.jpg",
"2001800_09.jpg",
"2001800_10.jpg",
"2001800_11.jpg",
"2001800_12.jpg",
"2001800_13.jpg",
"2001800_14.jpg",
"2001800_15.jpg"
] | Dave Grohl as a firefighter climbing up a tree to save a kitten | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001800.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 \"Dave Grohl as a firefighter climbing up a tree to save a kitten\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0000188 | [
"0000188_00.jpg",
"0000188_01.jpg",
"0000188_02.jpg",
"0000188_03.jpg",
"0000188_04.jpg",
"0000188_05.jpg",
"0000188_06.jpg",
"0000188_07.jpg",
"0000188_08.jpg",
"0000188_09.jpg",
"0000188_10.jpg",
"0000188_11.jpg",
"0000188_12.jpg",
"0000188_13.jpg",
"0000188_14.jpg",
"0000188_15.jpg",
"0000188_16.jpg",
"0000188_17.jpg",
"0000188_18.jpg",
"0000188_19.jpg",
"0000188_20.jpg",
"0000188_21.jpg",
"0000188_22.jpg",
"0000188_23.jpg"
] | Flying police rush after a new vanilla car | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000188.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 \"Flying police rush after a new vanilla car\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
2001863 | [
"2001863_00.jpg",
"2001863_01.jpg",
"2001863_02.jpg",
"2001863_03.jpg",
"2001863_04.jpg",
"2001863_05.jpg",
"2001863_06.jpg",
"2001863_07.jpg",
"2001863_08.jpg",
"2001863_09.jpg",
"2001863_10.jpg",
"2001863_11.jpg",
"2001863_12.jpg",
"2001863_13.jpg",
"2001863_14.jpg",
"2001863_15.jpg"
] | ape walking in the city in the rain | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001863.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 \"ape walking in the city in the rain\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
8001878 | [
"8001878_00.jpg",
"8001878_01.jpg",
"8001878_02.jpg",
"8001878_03.jpg",
"8001878_04.jpg",
"8001878_05.jpg",
"8001878_06.jpg",
"8001878_07.jpg",
"8001878_08.jpg",
"8001878_09.jpg",
"8001878_10.jpg",
"8001878_11.jpg",
"8001878_12.jpg",
"8001878_13.jpg",
"8001878_14.jpg",
"8001878_15.jpg",
"8001878_16.jpg",
"8001878_17.jpg",
"8001878_18.jpg",
"8001878_19.jpg",
"8001878_20.jpg",
"8001878_21.jpg",
"8001878_22.jpg",
"8001878_23.jpg"
] | rabbit runing in forest , morning, raining | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001878.mp4 | 1 | 2 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"rabbit runing in forest , morning, raining\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
7004150 | [
"7004150_00.jpg",
"7004150_01.jpg",
"7004150_02.jpg",
"7004150_03.jpg",
"7004150_04.jpg",
"7004150_05.jpg",
"7004150_06.jpg",
"7004150_07.jpg"
] | an animation of a database write operation flowing from client to server and back | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004150.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 \"an animation of a database write operation flowing from client to server and back\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
0000877 | [
"0000877_00.jpg",
"0000877_01.jpg",
"0000877_02.jpg",
"0000877_03.jpg",
"0000877_04.jpg",
"0000877_05.jpg",
"0000877_06.jpg",
"0000877_07.jpg",
"0000877_08.jpg",
"0000877_09.jpg",
"0000877_10.jpg",
"0000877_11.jpg",
"0000877_12.jpg",
"0000877_13.jpg",
"0000877_14.jpg",
"0000877_15.jpg",
"0000877_16.jpg",
"0000877_17.jpg",
"0000877_18.jpg",
"0000877_19.jpg",
"0000877_20.jpg",
"0000877_21.jpg",
"0000877_22.jpg",
"0000877_23.jpg"
] | man jumping out of TV, trippy, motion 1, Quentin Tarantino style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000877.mp4 | 3 | 2 | 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 \"man jumping out of TV, trippy, motion 1, Quentin Tarantino 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: 2\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
9000488 | [
"9000488_00.jpg",
"9000488_01.jpg",
"9000488_02.jpg",
"9000488_03.jpg",
"9000488_04.jpg",
"9000488_05.jpg",
"9000488_06.jpg",
"9000488_07.jpg",
"9000488_08.jpg",
"9000488_09.jpg",
"9000488_10.jpg",
"9000488_11.jpg",
"9000488_12.jpg",
"9000488_13.jpg",
"9000488_14.jpg",
"9000488_15.jpg",
"9000488_16.jpg",
"9000488_17.jpg",
"9000488_18.jpg",
"9000488_19.jpg",
"9000488_20.jpg",
"9000488_21.jpg",
"9000488_22.jpg",
"9000488_23.jpg"
] | Locals spoke of it in hushed tones, warning of the forbidden grove where shadows danced and eerie sounds echoed through the twisted vines. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000488.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 \"Locals spoke of it in hushed tones, warning of the forbidden grove where shadows danced and eerie sounds echoed through the twisted vines.\",\nall the 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"
}
] |
3005698 | [
"3005698_00.jpg",
"3005698_01.jpg",
"3005698_02.jpg",
"3005698_03.jpg",
"3005698_04.jpg",
"3005698_05.jpg",
"3005698_06.jpg",
"3005698_07.jpg",
"3005698_08.jpg",
"3005698_09.jpg",
"3005698_10.jpg",
"3005698_11.jpg",
"3005698_12.jpg",
"3005698_13.jpg",
"3005698_14.jpg",
"3005698_15.jpg"
] | Cinematic, red mushrooms in a lush glen, dappled light, misty, dutch angle | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005698.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 \"Cinematic, red mushrooms in a lush glen, dappled light, misty, dutch angle\",\nall the frames of video are as 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: 3\n"
}
] |
8000118 | [
"8000118_00.jpg",
"8000118_01.jpg",
"8000118_02.jpg",
"8000118_03.jpg",
"8000118_04.jpg",
"8000118_05.jpg",
"8000118_06.jpg",
"8000118_07.jpg",
"8000118_08.jpg",
"8000118_09.jpg",
"8000118_10.jpg",
"8000118_11.jpg",
"8000118_12.jpg",
"8000118_13.jpg",
"8000118_14.jpg",
"8000118_15.jpg",
"8000118_16.jpg",
"8000118_17.jpg",
"8000118_18.jpg",
"8000118_19.jpg",
"8000118_20.jpg",
"8000118_21.jpg",
"8000118_22.jpg",
"8000118_23.jpg"
] | pixar style animated shopping mall full of holiday products | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000118.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 \"pixar style animated shopping mall full of holiday products\",\nall the 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"
}
] |
3002710 | [
"3002710_00.jpg",
"3002710_01.jpg",
"3002710_02.jpg",
"3002710_03.jpg",
"3002710_04.jpg",
"3002710_05.jpg",
"3002710_06.jpg",
"3002710_07.jpg",
"3002710_08.jpg",
"3002710_09.jpg",
"3002710_10.jpg",
"3002710_11.jpg",
"3002710_12.jpg",
"3002710_13.jpg",
"3002710_14.jpg",
"3002710_15.jpg"
] | advertising for Instagram, post garlic for vampires, modern design, white fangs, smiles, golden ratio, complex design, many elements, text, flat design, icons | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002710.mp4 | 1 | 2 | 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 \"advertising for Instagram, post garlic for vampires, modern design, white fangs, smiles, golden ratio, complex design, many elements, text, flat design, icons\",\nall the frames of video are as 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: 1\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
6002184 | [
"6002184_00.jpg",
"6002184_01.jpg",
"6002184_02.jpg",
"6002184_03.jpg",
"6002184_04.jpg",
"6002184_05.jpg",
"6002184_06.jpg",
"6002184_07.jpg",
"6002184_08.jpg",
"6002184_09.jpg",
"6002184_10.jpg",
"6002184_11.jpg",
"6002184_12.jpg",
"6002184_13.jpg",
"6002184_14.jpg",
"6002184_15.jpg"
] | a super car with 2 doors cornering at at hill | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002184.mp4 | 1 | 2 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a super car with 2 doors cornering at at hill\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
0000746 | [
"0000746_00.jpg",
"0000746_01.jpg",
"0000746_02.jpg",
"0000746_03.jpg",
"0000746_04.jpg",
"0000746_05.jpg",
"0000746_06.jpg",
"0000746_07.jpg",
"0000746_08.jpg",
"0000746_09.jpg",
"0000746_10.jpg",
"0000746_11.jpg",
"0000746_12.jpg",
"0000746_13.jpg",
"0000746_14.jpg",
"0000746_15.jpg",
"0000746_16.jpg",
"0000746_17.jpg",
"0000746_18.jpg",
"0000746_19.jpg",
"0000746_20.jpg",
"0000746_21.jpg",
"0000746_22.jpg",
"0000746_23.jpg"
] | Create an image depicting a peaceful small town with a young man named Rizky, renowned for his kindness and dedication to helping others. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000746.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 an image depicting a peaceful small town with a young man named Rizky, renowned for his kindness and dedication to helping others.\",\nall the 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"
}
] |
9000380 | [
"9000380_00.jpg",
"9000380_01.jpg",
"9000380_02.jpg",
"9000380_03.jpg",
"9000380_04.jpg",
"9000380_05.jpg",
"9000380_06.jpg",
"9000380_07.jpg",
"9000380_08.jpg",
"9000380_09.jpg",
"9000380_10.jpg",
"9000380_11.jpg",
"9000380_12.jpg",
"9000380_13.jpg",
"9000380_14.jpg",
"9000380_15.jpg",
"9000380_16.jpg",
"9000380_17.jpg",
"9000380_18.jpg",
"9000380_19.jpg",
"9000380_20.jpg",
"9000380_21.jpg",
"9000380_22.jpg",
"9000380_23.jpg"
] | An animated background of red colors in the style of Disney Pixar Message: I love u dear (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000380.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 \"An animated background of red colors in the style of Disney Pixar Message: I love u dear (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
7000369 | [
"7000369_00.jpg",
"7000369_01.jpg",
"7000369_02.jpg",
"7000369_03.jpg",
"7000369_04.jpg",
"7000369_05.jpg",
"7000369_06.jpg",
"7000369_07.jpg"
] | nice and cool man black hair with sunglasses walking on the street looking at the camera | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000369.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 \"nice and cool man black hair with sunglasses walking on the street looking at the camera\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
8002264 | [
"8002264_00.jpg",
"8002264_01.jpg",
"8002264_02.jpg",
"8002264_03.jpg",
"8002264_04.jpg",
"8002264_05.jpg",
"8002264_06.jpg",
"8002264_07.jpg",
"8002264_08.jpg",
"8002264_09.jpg",
"8002264_10.jpg",
"8002264_11.jpg",
"8002264_12.jpg",
"8002264_13.jpg",
"8002264_14.jpg",
"8002264_15.jpg",
"8002264_16.jpg",
"8002264_17.jpg",
"8002264_18.jpg",
"8002264_19.jpg",
"8002264_20.jpg",
"8002264_21.jpg",
"8002264_22.jpg",
"8002264_23.jpg"
] | three camels driven by people, in the desert, on a dark night with stars, heading towards a house illuminated towards the horizon | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002264.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 \"three camels driven by people, in the desert, on a dark night with stars, heading towards a house illuminated towards the horizon\",\nall the 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"
}
] |
0000911 | [
"0000911_00.jpg",
"0000911_01.jpg",
"0000911_02.jpg",
"0000911_03.jpg",
"0000911_04.jpg",
"0000911_05.jpg",
"0000911_06.jpg",
"0000911_07.jpg",
"0000911_08.jpg",
"0000911_09.jpg",
"0000911_10.jpg",
"0000911_11.jpg",
"0000911_12.jpg",
"0000911_13.jpg",
"0000911_14.jpg",
"0000911_15.jpg",
"0000911_16.jpg",
"0000911_17.jpg",
"0000911_18.jpg",
"0000911_19.jpg",
"0000911_20.jpg",
"0000911_21.jpg",
"0000911_22.jpg",
"0000911_23.jpg"
] | an army walks into the battlefield, led by musicians equipped with instruments as weapons under a flag. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000911.mp4 | 2 | 2 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"an army walks into the battlefield, led by musicians equipped with instruments as weapons under a flag.\",\nall the 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: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0001134 | [
"0001134_00.jpg",
"0001134_01.jpg",
"0001134_02.jpg",
"0001134_03.jpg",
"0001134_04.jpg",
"0001134_05.jpg",
"0001134_06.jpg",
"0001134_07.jpg",
"0001134_08.jpg",
"0001134_09.jpg",
"0001134_10.jpg",
"0001134_11.jpg",
"0001134_12.jpg",
"0001134_13.jpg",
"0001134_14.jpg",
"0001134_15.jpg",
"0001134_16.jpg",
"0001134_17.jpg",
"0001134_18.jpg",
"0001134_19.jpg",
"0001134_20.jpg",
"0001134_21.jpg",
"0001134_22.jpg",
"0001134_23.jpg"
] | a girl walks along the shore at sunset | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001134.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 girl walks along the shore at sunset\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
2000632 | [
"2000632_00.jpg",
"2000632_01.jpg",
"2000632_02.jpg",
"2000632_03.jpg",
"2000632_04.jpg",
"2000632_05.jpg",
"2000632_06.jpg",
"2000632_07.jpg",
"2000632_08.jpg",
"2000632_09.jpg",
"2000632_10.jpg",
"2000632_11.jpg",
"2000632_12.jpg",
"2000632_13.jpg",
"2000632_14.jpg",
"2000632_15.jpg"
] | 3d image,moments of embarrassment and determination | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000632.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 \"3d image,moments of embarrassment and determination\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
7000701 | [
"7000701_00.jpg",
"7000701_01.jpg",
"7000701_02.jpg",
"7000701_03.jpg",
"7000701_04.jpg",
"7000701_05.jpg",
"7000701_06.jpg",
"7000701_07.jpg"
] | Haunted Cemetery, 2k, and there was a man there, Girl covered in blood looking at the camera as the camera zooms into his eyes | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000701.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 \"Haunted Cemetery, 2k, and there was a man there, Girl covered in blood looking at the camera as the camera zooms into his eyes\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2000998 | [
"2000998_00.jpg",
"2000998_01.jpg",
"2000998_02.jpg",
"2000998_03.jpg",
"2000998_04.jpg",
"2000998_05.jpg",
"2000998_06.jpg",
"2000998_07.jpg",
"2000998_08.jpg",
"2000998_09.jpg",
"2000998_10.jpg",
"2000998_11.jpg",
"2000998_12.jpg",
"2000998_13.jpg",
"2000998_14.jpg",
"2000998_15.jpg"
] | stealing stars from the moon, head in the clouds | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000998.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 \"stealing stars from the moon, head in the 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: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1001349 | [
"1001349_00.jpg",
"1001349_01.jpg",
"1001349_02.jpg",
"1001349_03.jpg",
"1001349_04.jpg",
"1001349_05.jpg",
"1001349_06.jpg",
"1001349_07.jpg",
"1001349_08.jpg",
"1001349_09.jpg",
"1001349_10.jpg",
"1001349_11.jpg",
"1001349_12.jpg",
"1001349_13.jpg",
"1001349_14.jpg",
"1001349_15.jpg"
] | an image where Opera House building is built in Louis Kahn style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001349.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"
}
] |
7000748 | [
"7000748_00.jpg",
"7000748_01.jpg",
"7000748_02.jpg",
"7000748_03.jpg",
"7000748_04.jpg",
"7000748_05.jpg",
"7000748_06.jpg",
"7000748_07.jpg"
] | woman with purple hair reading a book | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000748.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 \"woman with purple hair reading a book\",\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"
}
] |
7004799 | [
"7004799_00.jpg",
"7004799_01.jpg",
"7004799_02.jpg",
"7004799_03.jpg",
"7004799_04.jpg",
"7004799_05.jpg",
"7004799_06.jpg",
"7004799_07.jpg"
] | An allegorical painting combining mythological creatures from European folklore with Chinese auspicious animals like dragons, qilin, and phoenixes by Hajime Sorayama and Jean Paul Gaultier, in a vibrantly colored setting invoking the style of Betsey Johnson | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004799.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 \"An allegorical painting combining mythological creatures from European folklore with Chinese auspicious animals like dragons, qilin, and phoenixes by Hajime Sorayama and Jean Paul Gaultier, in a vibrantly colored setting invoking the style of Betsey Johnson\",\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"
}
] |
6004248 | [
"6004248_00.jpg",
"6004248_01.jpg",
"6004248_02.jpg",
"6004248_03.jpg",
"6004248_04.jpg",
"6004248_05.jpg",
"6004248_06.jpg",
"6004248_07.jpg",
"6004248_08.jpg",
"6004248_09.jpg",
"6004248_10.jpg",
"6004248_11.jpg",
"6004248_12.jpg",
"6004248_13.jpg",
"6004248_14.jpg",
"6004248_15.jpg"
] | a tv screen in which Thomas Edison picture is showcased | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004248.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 tv screen in which Thomas Edison picture is showcased\",\nall the frames of video are as 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"
}
] |
4001503 | [
"4001503_00.jpg",
"4001503_01.jpg",
"4001503_02.jpg",
"4001503_03.jpg",
"4001503_04.jpg",
"4001503_05.jpg",
"4001503_06.jpg",
"4001503_07.jpg",
"4001503_08.jpg",
"4001503_09.jpg",
"4001503_10.jpg",
"4001503_11.jpg",
"4001503_12.jpg",
"4001503_13.jpg",
"4001503_14.jpg",
"4001503_15.jpg"
] | social avatar her name is ayel . ayel is influencer and activist Message: gender (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001503.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 \"social avatar her name is ayel . ayel is influencer and activist Message: gender (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: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6003909 | [
"6003909_00.jpg",
"6003909_01.jpg",
"6003909_02.jpg",
"6003909_03.jpg",
"6003909_04.jpg",
"6003909_05.jpg",
"6003909_06.jpg",
"6003909_07.jpg",
"6003909_08.jpg",
"6003909_09.jpg",
"6003909_10.jpg",
"6003909_11.jpg",
"6003909_12.jpg",
"6003909_13.jpg",
"6003909_14.jpg",
"6003909_15.jpg"
] | An old woman walked past one another, looking worried and stressed. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003909.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 old woman walked past one another, looking worried and stressed.\",\nall the frames of video are as 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"
}
] |
1000539 | [
"1000539_00.jpg",
"1000539_01.jpg",
"1000539_02.jpg",
"1000539_03.jpg",
"1000539_04.jpg",
"1000539_05.jpg",
"1000539_06.jpg",
"1000539_07.jpg",
"1000539_08.jpg",
"1000539_09.jpg",
"1000539_10.jpg",
"1000539_11.jpg",
"1000539_12.jpg",
"1000539_13.jpg",
"1000539_14.jpg",
"1000539_15.jpg"
] | creative, original, godly samurai, lighting, lighting in background, motion | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000539.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 \"creative, original, godly samurai, lighting, lighting in background, motion\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0006744 | [
"0006744_00.jpg",
"0006744_01.jpg",
"0006744_02.jpg",
"0006744_03.jpg",
"0006744_04.jpg",
"0006744_05.jpg",
"0006744_06.jpg",
"0006744_07.jpg",
"0006744_08.jpg",
"0006744_09.jpg",
"0006744_10.jpg",
"0006744_11.jpg",
"0006744_12.jpg",
"0006744_13.jpg",
"0006744_14.jpg",
"0006744_15.jpg",
"0006744_16.jpg",
"0006744_17.jpg",
"0006744_18.jpg",
"0006744_19.jpg",
"0006744_20.jpg",
"0006744_21.jpg",
"0006744_22.jpg",
"0006744_23.jpg"
] | 3D: However, beneath her unconventional exterior, Garfield possessed a heart of gold. She was the first to lend a helping hand, be it rescuing a stranded kitten from a tree or planting flowers in the neglected corners of the town. Her kindness endeared her to the community, and despite her quirks, Garfield became a beloved figure in Meadowville. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006744.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"3D: However, beneath her unconventional exterior, Garfield possessed a heart of gold. She was the first to lend a helping hand, be it rescuing a stranded kitten from a tree or planting flowers in the neglected corners of the town. Her kindness endeared her to the community, and despite her quirks, Garfield became a beloved figure in Meadowville.\",\nall the 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"
}
] |
9000439 | [
"9000439_00.jpg",
"9000439_01.jpg",
"9000439_02.jpg",
"9000439_03.jpg",
"9000439_04.jpg",
"9000439_05.jpg",
"9000439_06.jpg",
"9000439_07.jpg",
"9000439_08.jpg",
"9000439_09.jpg",
"9000439_10.jpg",
"9000439_11.jpg",
"9000439_12.jpg",
"9000439_13.jpg",
"9000439_14.jpg",
"9000439_15.jpg",
"9000439_16.jpg",
"9000439_17.jpg",
"9000439_18.jpg",
"9000439_19.jpg",
"9000439_20.jpg",
"9000439_21.jpg",
"9000439_22.jpg",
"9000439_23.jpg"
] | Spiderman works as a PIZZA delivery boy | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000439.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 \"Spiderman works as a PIZZA delivery boy\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0002595 | [
"0002595_00.jpg",
"0002595_01.jpg",
"0002595_02.jpg",
"0002595_03.jpg",
"0002595_04.jpg",
"0002595_05.jpg",
"0002595_06.jpg",
"0002595_07.jpg",
"0002595_08.jpg",
"0002595_09.jpg",
"0002595_10.jpg",
"0002595_11.jpg",
"0002595_12.jpg",
"0002595_13.jpg",
"0002595_14.jpg",
"0002595_15.jpg",
"0002595_16.jpg",
"0002595_17.jpg",
"0002595_18.jpg",
"0002595_19.jpg",
"0002595_20.jpg",
"0002595_21.jpg",
"0002595_22.jpg",
"0002595_23.jpg"
] | We must try harder, no matter how difficult the trials | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002595.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 \"We must try harder, no matter how difficult the trials\",\nall the 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"
}
] |
0003944 | [
"0003944_00.jpg",
"0003944_01.jpg",
"0003944_02.jpg",
"0003944_03.jpg",
"0003944_04.jpg",
"0003944_05.jpg",
"0003944_06.jpg",
"0003944_07.jpg",
"0003944_08.jpg",
"0003944_09.jpg",
"0003944_10.jpg",
"0003944_11.jpg",
"0003944_12.jpg",
"0003944_13.jpg",
"0003944_14.jpg",
"0003944_15.jpg",
"0003944_16.jpg",
"0003944_17.jpg",
"0003944_18.jpg",
"0003944_19.jpg",
"0003944_20.jpg",
"0003944_21.jpg",
"0003944_22.jpg",
"0003944_23.jpg"
] | a top down view of someone lying on a rock | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003944.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 top down view of someone lying on a rock\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
8002079 | [
"8002079_00.jpg",
"8002079_01.jpg",
"8002079_02.jpg",
"8002079_03.jpg",
"8002079_04.jpg",
"8002079_05.jpg",
"8002079_06.jpg",
"8002079_07.jpg",
"8002079_08.jpg",
"8002079_09.jpg",
"8002079_10.jpg",
"8002079_11.jpg",
"8002079_12.jpg",
"8002079_13.jpg",
"8002079_14.jpg",
"8002079_15.jpg",
"8002079_16.jpg",
"8002079_17.jpg",
"8002079_18.jpg",
"8002079_19.jpg",
"8002079_20.jpg",
"8002079_21.jpg",
"8002079_22.jpg",
"8002079_23.jpg"
] | french goverment to the united states | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002079.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 \"french goverment to the united states\",\nall the 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"
}
] |
7002211 | [
"7002211_00.jpg",
"7002211_01.jpg",
"7002211_02.jpg",
"7002211_03.jpg",
"7002211_04.jpg",
"7002211_05.jpg",
"7002211_06.jpg",
"7002211_07.jpg"
] | Rosie directed him with precision, making sure they followed the path towards the finish line. , different animals stading by the track to warm the contests of the race | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002211.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 \"Rosie directed him with precision, making sure they followed the path towards the finish line. , different animals stading by the track to warm the contests of the race\",\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"
}
] |
0002702 | [
"0002702_00.jpg",
"0002702_01.jpg",
"0002702_02.jpg",
"0002702_03.jpg",
"0002702_04.jpg",
"0002702_05.jpg",
"0002702_06.jpg",
"0002702_07.jpg",
"0002702_08.jpg",
"0002702_09.jpg",
"0002702_10.jpg",
"0002702_11.jpg",
"0002702_12.jpg",
"0002702_13.jpg",
"0002702_14.jpg",
"0002702_15.jpg",
"0002702_16.jpg",
"0002702_17.jpg",
"0002702_18.jpg",
"0002702_19.jpg",
"0002702_20.jpg",
"0002702_21.jpg",
"0002702_22.jpg",
"0002702_23.jpg"
] | Display video of three sea turtles gliding through the water in the sea | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002702.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 \"Display video of three sea turtles gliding through the water in the sea\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
5000120 | [
"5000120_00.jpg",
"5000120_01.jpg",
"5000120_02.jpg",
"5000120_03.jpg",
"5000120_04.jpg",
"5000120_05.jpg",
"5000120_06.jpg",
"5000120_07.jpg",
"5000120_08.jpg",
"5000120_09.jpg",
"5000120_10.jpg",
"5000120_11.jpg",
"5000120_12.jpg",
"5000120_13.jpg",
"5000120_14.jpg",
"5000120_15.jpg"
] | a cinematic battle between angels and demons in Paris City, style 4k, battle as well as real battle, quality HD | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000120.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 cinematic battle between angels and demons in Paris City, style 4k, battle as well as real battle, quality HD\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
8000003 | [
"8000003_00.jpg",
"8000003_01.jpg",
"8000003_02.jpg",
"8000003_03.jpg",
"8000003_04.jpg",
"8000003_05.jpg",
"8000003_06.jpg",
"8000003_07.jpg",
"8000003_08.jpg",
"8000003_09.jpg",
"8000003_10.jpg",
"8000003_11.jpg",
"8000003_12.jpg",
"8000003_13.jpg",
"8000003_14.jpg",
"8000003_15.jpg",
"8000003_16.jpg",
"8000003_17.jpg",
"8000003_18.jpg",
"8000003_19.jpg",
"8000003_20.jpg",
"8000003_21.jpg",
"8000003_22.jpg",
"8000003_23.jpg"
] | An image of a bright starry sky. like the picture. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000003.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 of a bright starry sky. like the picture.\",\nall the 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"
}
] |
0002935 | [
"0002935_00.jpg",
"0002935_01.jpg",
"0002935_02.jpg",
"0002935_03.jpg",
"0002935_04.jpg",
"0002935_05.jpg",
"0002935_06.jpg",
"0002935_07.jpg",
"0002935_08.jpg",
"0002935_09.jpg",
"0002935_10.jpg",
"0002935_11.jpg",
"0002935_12.jpg",
"0002935_13.jpg",
"0002935_14.jpg",
"0002935_15.jpg",
"0002935_16.jpg",
"0002935_17.jpg",
"0002935_18.jpg",
"0002935_19.jpg",
"0002935_20.jpg",
"0002935_21.jpg",
"0002935_22.jpg",
"0002935_23.jpg"
] | a boy relaxed one and another boy holding heavy bags, tensed, scared, not confident , bothing going to school and tslking | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002935.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 boy relaxed one and another boy holding heavy bags, tensed, scared, not confident , bothing going to school and tslking\",\nall the 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"
}
] |
6001546 | [
"6001546_00.jpg",
"6001546_01.jpg",
"6001546_02.jpg",
"6001546_03.jpg",
"6001546_04.jpg",
"6001546_05.jpg",
"6001546_06.jpg",
"6001546_07.jpg",
"6001546_08.jpg",
"6001546_09.jpg",
"6001546_10.jpg",
"6001546_11.jpg",
"6001546_12.jpg",
"6001546_13.jpg",
"6001546_14.jpg",
"6001546_15.jpg"
] | beautiful indian girl take a cofee walking 2nd flour on the beautiful house | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001546.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 \"beautiful indian girl take a cofee walking 2nd flour on the beautiful house\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
6002996 | [
"6002996_00.jpg",
"6002996_01.jpg",
"6002996_02.jpg",
"6002996_03.jpg",
"6002996_04.jpg",
"6002996_05.jpg",
"6002996_06.jpg",
"6002996_07.jpg",
"6002996_08.jpg",
"6002996_09.jpg",
"6002996_10.jpg",
"6002996_11.jpg",
"6002996_12.jpg",
"6002996_13.jpg",
"6002996_14.jpg",
"6002996_15.jpg"
] | fortune teller,dark theme,woman, mystery, telling something about the fortune | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002996.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 \"fortune teller,dark theme,woman, mystery, telling something about the fortune\",\nall the frames of video are as 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"
}
] |
6001402 | [
"6001402_00.jpg",
"6001402_01.jpg",
"6001402_02.jpg",
"6001402_03.jpg",
"6001402_04.jpg",
"6001402_05.jpg",
"6001402_06.jpg",
"6001402_07.jpg",
"6001402_08.jpg",
"6001402_09.jpg",
"6001402_10.jpg",
"6001402_11.jpg",
"6001402_12.jpg",
"6001402_13.jpg",
"6001402_14.jpg",
"6001402_15.jpg"
] | women in saree with beautiful eyes staring | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001402.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 \"women in saree with beautiful eyes staring\",\nall the frames of video are as 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"
}
] |
6000012 | [
"6000012_00.jpg",
"6000012_01.jpg",
"6000012_02.jpg",
"6000012_03.jpg",
"6000012_04.jpg",
"6000012_05.jpg",
"6000012_06.jpg",
"6000012_07.jpg",
"6000012_08.jpg",
"6000012_09.jpg",
"6000012_10.jpg",
"6000012_11.jpg",
"6000012_12.jpg",
"6000012_13.jpg",
"6000012_14.jpg",
"6000012_15.jpg"
] | give a YouTube thumbnail for machine room | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000012.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 \"give a YouTube thumbnail for machine 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> "
},
{
"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"
}
] |
1006602 | [
"1006602_00.jpg",
"1006602_01.jpg",
"1006602_02.jpg",
"1006602_03.jpg",
"1006602_04.jpg",
"1006602_05.jpg",
"1006602_06.jpg",
"1006602_07.jpg",
"1006602_08.jpg",
"1006602_09.jpg",
"1006602_10.jpg",
"1006602_11.jpg",
"1006602_12.jpg",
"1006602_13.jpg",
"1006602_14.jpg",
"1006602_15.jpg"
] | The superstar is greeted by his fans and he greets them. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006602.mp4 | 1 | 1 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The superstar is greeted by his fans and he greets 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> "
},
{
"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"
}
] |
8003685 | [
"8003685_00.jpg",
"8003685_01.jpg",
"8003685_02.jpg",
"8003685_03.jpg",
"8003685_04.jpg",
"8003685_05.jpg",
"8003685_06.jpg",
"8003685_07.jpg",
"8003685_08.jpg",
"8003685_09.jpg",
"8003685_10.jpg",
"8003685_11.jpg",
"8003685_12.jpg",
"8003685_13.jpg",
"8003685_14.jpg",
"8003685_15.jpg",
"8003685_16.jpg",
"8003685_17.jpg",
"8003685_18.jpg",
"8003685_19.jpg",
"8003685_20.jpg",
"8003685_21.jpg",
"8003685_22.jpg",
"8003685_23.jpg"
] | a girl cashier in a bookstore | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003685.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 girl cashier in a bookstore\",\nall the 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"
}
] |
9000575 | [
"9000575_00.jpg",
"9000575_01.jpg",
"9000575_02.jpg",
"9000575_03.jpg",
"9000575_04.jpg",
"9000575_05.jpg",
"9000575_06.jpg",
"9000575_07.jpg",
"9000575_08.jpg",
"9000575_09.jpg",
"9000575_10.jpg",
"9000575_11.jpg",
"9000575_12.jpg",
"9000575_13.jpg",
"9000575_14.jpg",
"9000575_15.jpg",
"9000575_16.jpg",
"9000575_17.jpg",
"9000575_18.jpg",
"9000575_19.jpg",
"9000575_20.jpg",
"9000575_21.jpg",
"9000575_22.jpg",
"9000575_23.jpg"
] | taking on the street boy and girl | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000575.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 \"taking on the street boy and girl\",\nall the 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"
}
] |
9000671 | [
"9000671_00.jpg",
"9000671_01.jpg",
"9000671_02.jpg",
"9000671_03.jpg",
"9000671_04.jpg",
"9000671_05.jpg",
"9000671_06.jpg",
"9000671_07.jpg",
"9000671_08.jpg",
"9000671_09.jpg",
"9000671_10.jpg",
"9000671_11.jpg",
"9000671_12.jpg",
"9000671_13.jpg",
"9000671_14.jpg",
"9000671_15.jpg",
"9000671_16.jpg",
"9000671_17.jpg",
"9000671_18.jpg",
"9000671_19.jpg",
"9000671_20.jpg",
"9000671_21.jpg",
"9000671_22.jpg",
"9000671_23.jpg"
] | cartoon characters walking through the forest and holding big barrel | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000671.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 \"cartoon characters walking through the forest and holding big barrel\",\nall the 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"
}
] |
6000361 | [
"6000361_00.jpg",
"6000361_01.jpg",
"6000361_02.jpg",
"6000361_03.jpg",
"6000361_04.jpg",
"6000361_05.jpg",
"6000361_06.jpg",
"6000361_07.jpg",
"6000361_08.jpg",
"6000361_09.jpg",
"6000361_10.jpg",
"6000361_11.jpg",
"6000361_12.jpg",
"6000361_13.jpg",
"6000361_14.jpg",
"6000361_15.jpg"
] | an old chinese lady walking through flowers | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000361.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 \"an old chinese lady walking through flowers\",\nall the frames of video are as 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"
}
] |
0000536 | [
"0000536_00.jpg",
"0000536_01.jpg",
"0000536_02.jpg",
"0000536_03.jpg",
"0000536_04.jpg",
"0000536_05.jpg",
"0000536_06.jpg",
"0000536_07.jpg",
"0000536_08.jpg",
"0000536_09.jpg",
"0000536_10.jpg",
"0000536_11.jpg",
"0000536_12.jpg",
"0000536_13.jpg",
"0000536_14.jpg",
"0000536_15.jpg",
"0000536_16.jpg",
"0000536_17.jpg",
"0000536_18.jpg",
"0000536_19.jpg",
"0000536_20.jpg",
"0000536_21.jpg",
"0000536_22.jpg",
"0000536_23.jpg"
] | A sexy anime girl anime style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000536.mp4 | 2 | 2 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A sexy anime girl anime 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: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1003749 | [
"1003749_00.jpg",
"1003749_01.jpg",
"1003749_02.jpg",
"1003749_03.jpg",
"1003749_04.jpg",
"1003749_05.jpg",
"1003749_06.jpg",
"1003749_07.jpg",
"1003749_08.jpg",
"1003749_09.jpg",
"1003749_10.jpg",
"1003749_11.jpg",
"1003749_12.jpg",
"1003749_13.jpg",
"1003749_14.jpg",
"1003749_15.jpg"
] | Crystal lotus blooming on the water with hillside in the distance, blue background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003749.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 \"Crystal lotus blooming on the water with hillside in the distance, blue 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: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
2004969 | [
"2004969_00.jpg",
"2004969_01.jpg",
"2004969_02.jpg",
"2004969_03.jpg",
"2004969_04.jpg",
"2004969_05.jpg",
"2004969_06.jpg",
"2004969_07.jpg",
"2004969_08.jpg",
"2004969_09.jpg",
"2004969_10.jpg",
"2004969_11.jpg",
"2004969_12.jpg",
"2004969_13.jpg",
"2004969_14.jpg",
"2004969_15.jpg"
] | Music and dance and caffee machine | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004969.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 \"Music and dance and caffee machine\",\nall the frames of video are as 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"
}
] |
7004652 | [
"7004652_00.jpg",
"7004652_01.jpg",
"7004652_02.jpg",
"7004652_03.jpg",
"7004652_04.jpg",
"7004652_05.jpg",
"7004652_06.jpg",
"7004652_07.jpg"
] | A young man at his 20s is sitting on a piece of cloud in the sky, reading a book. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004652.mp4 | 3 | 2 | 2 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A young man at his 20s is sitting on a piece of cloud in the sky, reading a book.\",\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: 1\n"
}
] |
7000703 | [
"7000703_00.jpg",
"7000703_01.jpg",
"7000703_02.jpg",
"7000703_03.jpg",
"7000703_04.jpg",
"7000703_05.jpg",
"7000703_06.jpg",
"7000703_07.jpg"
] | Cartoon image of little child playing in the water | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000703.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 \"Cartoon image of little child playing in the water\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3003579 | [
"3003579_00.jpg",
"3003579_01.jpg",
"3003579_02.jpg",
"3003579_03.jpg",
"3003579_04.jpg",
"3003579_05.jpg",
"3003579_06.jpg",
"3003579_07.jpg",
"3003579_08.jpg",
"3003579_09.jpg",
"3003579_10.jpg",
"3003579_11.jpg",
"3003579_12.jpg",
"3003579_13.jpg",
"3003579_14.jpg",
"3003579_15.jpg"
] | male and female crew member and locker room on Starship | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3003579.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 \"male and female crew member and locker room on Starship\",\nall the frames of video are as 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"
}
] |
7001509 | [
"7001509_00.jpg",
"7001509_01.jpg",
"7001509_02.jpg",
"7001509_03.jpg",
"7001509_04.jpg",
"7001509_05.jpg",
"7001509_06.jpg",
"7001509_07.jpg"
] | boy 14 years old transform into a ghost in a ghost form he had snow white hair and glowing green eyes,wears black isolation suit with D logo on center | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001509.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 \"boy 14 years old transform into a ghost in a ghost form he had snow white hair and glowing green eyes,wears black isolation suit with D logo on center\",\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"
}
] |
0002537 | [
"0002537_00.jpg",
"0002537_01.jpg",
"0002537_02.jpg",
"0002537_03.jpg",
"0002537_04.jpg",
"0002537_05.jpg",
"0002537_06.jpg",
"0002537_07.jpg",
"0002537_08.jpg",
"0002537_09.jpg",
"0002537_10.jpg",
"0002537_11.jpg",
"0002537_12.jpg",
"0002537_13.jpg",
"0002537_14.jpg",
"0002537_15.jpg",
"0002537_16.jpg",
"0002537_17.jpg",
"0002537_18.jpg",
"0002537_19.jpg",
"0002537_20.jpg",
"0002537_21.jpg",
"0002537_22.jpg",
"0002537_23.jpg"
] | a master is get through a street ,happened in midcentry | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002537.mp4 | 3 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a master is get through a street ,happened in midcentry\",\nall the 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"
}
] |
3002608 | [
"3002608_00.jpg",
"3002608_01.jpg",
"3002608_02.jpg",
"3002608_03.jpg",
"3002608_04.jpg",
"3002608_05.jpg",
"3002608_06.jpg",
"3002608_07.jpg",
"3002608_08.jpg",
"3002608_09.jpg",
"3002608_10.jpg",
"3002608_11.jpg",
"3002608_12.jpg",
"3002608_13.jpg",
"3002608_14.jpg",
"3002608_15.jpg"
] | raju say From this funny story we learn that it is important to understand the importance of time ,background wind blowing rose | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002608.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 \"raju say From this funny story we learn that it is important to understand the importance of time ,background wind blowing rose\",\nall the frames of video are as 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"
}
] |
4004543 | [
"4004543_00.jpg",
"4004543_01.jpg",
"4004543_02.jpg",
"4004543_03.jpg",
"4004543_04.jpg",
"4004543_05.jpg",
"4004543_06.jpg",
"4004543_07.jpg",
"4004543_08.jpg",
"4004543_09.jpg",
"4004543_10.jpg",
"4004543_11.jpg",
"4004543_12.jpg",
"4004543_13.jpg",
"4004543_14.jpg",
"4004543_15.jpg"
] | ground shaking, flying meteroite, horror style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004543.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 \"ground shaking, flying meteroite, horror style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6000839 | [
"6000839_00.jpg",
"6000839_01.jpg",
"6000839_02.jpg",
"6000839_03.jpg",
"6000839_04.jpg",
"6000839_05.jpg",
"6000839_06.jpg",
"6000839_07.jpg",
"6000839_08.jpg",
"6000839_09.jpg",
"6000839_10.jpg",
"6000839_11.jpg",
"6000839_12.jpg",
"6000839_13.jpg",
"6000839_14.jpg",
"6000839_15.jpg"
] | a serene forest landscape with sunlight streaming through the trees with a man in the image | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000839.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a serene forest landscape with sunlight streaming through the trees with a man in the image\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
8000315 | [
"8000315_00.jpg",
"8000315_01.jpg",
"8000315_02.jpg",
"8000315_03.jpg",
"8000315_04.jpg",
"8000315_05.jpg",
"8000315_06.jpg",
"8000315_07.jpg",
"8000315_08.jpg",
"8000315_09.jpg",
"8000315_10.jpg",
"8000315_11.jpg",
"8000315_12.jpg",
"8000315_13.jpg",
"8000315_14.jpg",
"8000315_15.jpg",
"8000315_16.jpg",
"8000315_17.jpg",
"8000315_18.jpg",
"8000315_19.jpg",
"8000315_20.jpg",
"8000315_21.jpg",
"8000315_22.jpg",
"8000315_23.jpg"
] | ultra modern high tech bulet train runing fast, directed by Chris Carpenter | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000315.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 \"ultra modern high tech bulet train runing fast, directed by Chris Carpenter\",\nall the 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"
}
] |
1005060 | [
"1005060_00.jpg",
"1005060_01.jpg",
"1005060_02.jpg",
"1005060_03.jpg",
"1005060_04.jpg",
"1005060_05.jpg",
"1005060_06.jpg",
"1005060_07.jpg",
"1005060_08.jpg",
"1005060_09.jpg",
"1005060_10.jpg",
"1005060_11.jpg",
"1005060_12.jpg",
"1005060_13.jpg",
"1005060_14.jpg",
"1005060_15.jpg"
] | The events of the story revolve around between the planets of the solar system, where each chapter begins with a story of life on a particular planet and how life on this planet ended up to planet Earth, so that we humans face the people of the earth, the fate of the end that other planets and their creatures faced, and how should we change this fate? | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005060.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 events of the story revolve around between the planets of the solar system, where each chapter begins with a story of life on a particular planet and how life on this planet ended up to planet Earth, so that we humans face the people of the earth, the fate of the end that other planets and their creatures faced, and how should we change this fate?\",\nall the frames of video are as 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"
}
] |
2001098 | [
"2001098_00.jpg",
"2001098_01.jpg",
"2001098_02.jpg",
"2001098_03.jpg",
"2001098_04.jpg",
"2001098_05.jpg",
"2001098_06.jpg",
"2001098_07.jpg",
"2001098_08.jpg",
"2001098_09.jpg",
"2001098_10.jpg",
"2001098_11.jpg",
"2001098_12.jpg",
"2001098_13.jpg",
"2001098_14.jpg",
"2001098_15.jpg"
] | scarry image of jungle at night,a man car drive on a path or road in this jungle,when he drive on the road suddenly broke down the tyre of car,and a blast of car,display the man face | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001098.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 \"scarry image of jungle at night,a man car drive on a path or road in this jungle,when he drive on the road suddenly broke down the tyre of car,and a blast of car,display the man face\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
7000865 | [
"7000865_00.jpg",
"7000865_01.jpg",
"7000865_02.jpg",
"7000865_03.jpg",
"7000865_04.jpg",
"7000865_05.jpg",
"7000865_06.jpg",
"7000865_07.jpg"
] | clouds in sky above a road. Message: BE NICE (Font: COMICS) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000865.mp4 | 2 | 2 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"clouds in sky above a road. Message: BE NICE (Font: COMICS)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0002243 | [
"0002243_00.jpg",
"0002243_01.jpg",
"0002243_02.jpg",
"0002243_03.jpg",
"0002243_04.jpg",
"0002243_05.jpg",
"0002243_06.jpg",
"0002243_07.jpg",
"0002243_08.jpg",
"0002243_09.jpg",
"0002243_10.jpg",
"0002243_11.jpg",
"0002243_12.jpg",
"0002243_13.jpg",
"0002243_14.jpg",
"0002243_15.jpg",
"0002243_16.jpg",
"0002243_17.jpg",
"0002243_18.jpg",
"0002243_19.jpg",
"0002243_20.jpg",
"0002243_21.jpg",
"0002243_22.jpg",
"0002243_23.jpg"
] | A boat sailing leisurely along the Seine River with the Eiffel Tower in background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002243.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 boat sailing leisurely along the Seine River with the Eiffel Tower in 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> <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"
}
] |
s000198 | [
"s000198_00.jpg",
"s000198_01.jpg",
"s000198_02.jpg",
"s000198_03.jpg",
"s000198_04.jpg",
"s000198_05.jpg",
"s000198_06.jpg",
"s000198_07.jpg",
"s000198_08.jpg",
"s000198_09.jpg",
"s000198_10.jpg",
"s000198_11.jpg",
"s000198_12.jpg",
"s000198_13.jpg",
"s000198_14.jpg",
"s000198_15.jpg",
"s000198_16.jpg",
"s000198_17.jpg",
"s000198_18.jpg",
"s000198_19.jpg"
] | underwater statue of goddess Athena, overgrown by coral, mystical cinematic scene | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000198.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 \"underwater statue of goddess Athena, overgrown by coral, mystical cinematic 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> "
},
{
"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"
}
] |
3001288 | [
"3001288_00.jpg",
"3001288_01.jpg",
"3001288_02.jpg",
"3001288_03.jpg",
"3001288_04.jpg",
"3001288_05.jpg",
"3001288_06.jpg",
"3001288_07.jpg",
"3001288_08.jpg",
"3001288_09.jpg",
"3001288_10.jpg",
"3001288_11.jpg",
"3001288_12.jpg",
"3001288_13.jpg",
"3001288_14.jpg",
"3001288_15.jpg"
] | a dog falling from the sky, fast motion blur effect | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001288.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 dog falling from the sky, fast motion blur effect\",\nall the frames of video are as 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"
}
] |
9000492 | [
"9000492_00.jpg",
"9000492_01.jpg",
"9000492_02.jpg",
"9000492_03.jpg",
"9000492_04.jpg",
"9000492_05.jpg",
"9000492_06.jpg",
"9000492_07.jpg",
"9000492_08.jpg",
"9000492_09.jpg",
"9000492_10.jpg",
"9000492_11.jpg",
"9000492_12.jpg",
"9000492_13.jpg",
"9000492_14.jpg",
"9000492_15.jpg",
"9000492_16.jpg",
"9000492_17.jpg",
"9000492_18.jpg",
"9000492_19.jpg",
"9000492_20.jpg",
"9000492_21.jpg",
"9000492_22.jpg",
"9000492_23.jpg"
] | suede trainers being cleaned with a brush inside a big room with camera panning down | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000492.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 \"suede trainers being cleaned with a brush inside a big room with camera panning down\",\nall the 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"
}
] |
0000228 | [
"0000228_00.jpg",
"0000228_01.jpg",
"0000228_02.jpg",
"0000228_03.jpg",
"0000228_04.jpg",
"0000228_05.jpg",
"0000228_06.jpg",
"0000228_07.jpg",
"0000228_08.jpg",
"0000228_09.jpg",
"0000228_10.jpg",
"0000228_11.jpg",
"0000228_12.jpg",
"0000228_13.jpg",
"0000228_14.jpg",
"0000228_15.jpg",
"0000228_16.jpg",
"0000228_17.jpg",
"0000228_18.jpg",
"0000228_19.jpg",
"0000228_20.jpg",
"0000228_21.jpg",
"0000228_22.jpg",
"0000228_23.jpg"
] | a video of a power ranger fighting with a bear in bathroom | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000228.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 video of a power ranger fighting with a bear in bathroom\",\nall the 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"
}
] |
4004813 | [
"4004813_00.jpg",
"4004813_01.jpg",
"4004813_02.jpg",
"4004813_03.jpg",
"4004813_04.jpg",
"4004813_05.jpg",
"4004813_06.jpg",
"4004813_07.jpg",
"4004813_08.jpg",
"4004813_09.jpg",
"4004813_10.jpg",
"4004813_11.jpg",
"4004813_12.jpg",
"4004813_13.jpg",
"4004813_14.jpg",
"4004813_15.jpg"
] | cartoon elephant talking with green screen background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004813.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 \"cartoon elephant talking with green screen 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: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
3003884 | [
"3003884_00.jpg",
"3003884_01.jpg",
"3003884_02.jpg",
"3003884_03.jpg",
"3003884_04.jpg",
"3003884_05.jpg",
"3003884_06.jpg",
"3003884_07.jpg",
"3003884_08.jpg",
"3003884_09.jpg",
"3003884_10.jpg",
"3003884_11.jpg",
"3003884_12.jpg",
"3003884_13.jpg",
"3003884_14.jpg",
"3003884_15.jpg"
] | very nice house , lots of cash on the table , | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3003884.mp4 | 2 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"very nice house , lots of cash on the table ,\",\nall the frames of video are as 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"
}
] |
3003502 | [
"3003502_00.jpg",
"3003502_01.jpg",
"3003502_02.jpg",
"3003502_03.jpg",
"3003502_04.jpg",
"3003502_05.jpg",
"3003502_06.jpg",
"3003502_07.jpg",
"3003502_08.jpg",
"3003502_09.jpg",
"3003502_10.jpg",
"3003502_11.jpg",
"3003502_12.jpg",
"3003502_13.jpg",
"3003502_14.jpg",
"3003502_15.jpg"
] | Two birds perched on the tree, affectionate towards each other. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3003502.mp4 | 2 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Two birds perched on the tree, affectionate towards 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: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2000852 | [
"2000852_00.jpg",
"2000852_01.jpg",
"2000852_02.jpg",
"2000852_03.jpg",
"2000852_04.jpg",
"2000852_05.jpg",
"2000852_06.jpg",
"2000852_07.jpg",
"2000852_08.jpg",
"2000852_09.jpg",
"2000852_10.jpg",
"2000852_11.jpg",
"2000852_12.jpg",
"2000852_13.jpg",
"2000852_14.jpg",
"2000852_15.jpg"
] | man going to travel by plane | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000852.mp4 | 3 | 3 | 1 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"man going to travel by plane\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
6000834 | [
"6000834_00.jpg",
"6000834_01.jpg",
"6000834_02.jpg",
"6000834_03.jpg",
"6000834_04.jpg",
"6000834_05.jpg",
"6000834_06.jpg",
"6000834_07.jpg",
"6000834_08.jpg",
"6000834_09.jpg",
"6000834_10.jpg",
"6000834_11.jpg",
"6000834_12.jpg",
"6000834_13.jpg",
"6000834_14.jpg",
"6000834_15.jpg"
] | 8k, people looking scared at a beautiful ghost woman in the farm room | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000834.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 \"8k, people looking scared at a beautiful ghost woman in the farm 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> "
},
{
"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"
}
] |
0001523 | [
"0001523_00.jpg",
"0001523_01.jpg",
"0001523_02.jpg",
"0001523_03.jpg",
"0001523_04.jpg",
"0001523_05.jpg",
"0001523_06.jpg",
"0001523_07.jpg",
"0001523_08.jpg",
"0001523_09.jpg",
"0001523_10.jpg",
"0001523_11.jpg",
"0001523_12.jpg",
"0001523_13.jpg",
"0001523_14.jpg",
"0001523_15.jpg",
"0001523_16.jpg",
"0001523_17.jpg",
"0001523_18.jpg",
"0001523_19.jpg",
"0001523_20.jpg",
"0001523_21.jpg",
"0001523_22.jpg",
"0001523_23.jpg"
] | The more she walked, the more charming the scenery became, 3d cartoon | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001523.mp4 | 2 | 2 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The more she walked, the more charming the scenery became, 3d cartoon\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1001737 | [
"1001737_00.jpg",
"1001737_01.jpg",
"1001737_02.jpg",
"1001737_03.jpg",
"1001737_04.jpg",
"1001737_05.jpg",
"1001737_06.jpg",
"1001737_07.jpg",
"1001737_08.jpg",
"1001737_09.jpg",
"1001737_10.jpg",
"1001737_11.jpg",
"1001737_12.jpg",
"1001737_13.jpg",
"1001737_14.jpg",
"1001737_15.jpg"
] | beautiful people meditating on the beach | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001737.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"beautiful people meditating on the beach\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1002506 | [
"1002506_00.jpg",
"1002506_01.jpg",
"1002506_02.jpg",
"1002506_03.jpg",
"1002506_04.jpg",
"1002506_05.jpg",
"1002506_06.jpg",
"1002506_07.jpg",
"1002506_08.jpg",
"1002506_09.jpg",
"1002506_10.jpg",
"1002506_11.jpg",
"1002506_12.jpg",
"1002506_13.jpg",
"1002506_14.jpg",
"1002506_15.jpg"
] | werewolf over the moon on a foggy night | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002506.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 \"werewolf over the moon on a foggy night\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1002926 | [
"1002926_00.jpg",
"1002926_01.jpg",
"1002926_02.jpg",
"1002926_03.jpg",
"1002926_04.jpg",
"1002926_05.jpg",
"1002926_06.jpg",
"1002926_07.jpg",
"1002926_08.jpg",
"1002926_09.jpg",
"1002926_10.jpg",
"1002926_11.jpg",
"1002926_12.jpg",
"1002926_13.jpg",
"1002926_14.jpg",
"1002926_15.jpg"
] | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002926.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 \"\",\nall the frames of video are as 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"
}
] |
|
3001787 | [
"3001787_00.jpg",
"3001787_01.jpg",
"3001787_02.jpg",
"3001787_03.jpg",
"3001787_04.jpg",
"3001787_05.jpg",
"3001787_06.jpg",
"3001787_07.jpg",
"3001787_08.jpg",
"3001787_09.jpg",
"3001787_10.jpg",
"3001787_11.jpg",
"3001787_12.jpg",
"3001787_13.jpg",
"3001787_14.jpg",
"3001787_15.jpg"
] | A tranquil tableau of cliff | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001787.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 tranquil tableau of cliff\",\nall the frames of video are as 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"
}
] |
s000807 | [
"s000807_00.jpg",
"s000807_01.jpg",
"s000807_02.jpg",
"s000807_03.jpg",
"s000807_04.jpg",
"s000807_05.jpg",
"s000807_06.jpg",
"s000807_07.jpg",
"s000807_08.jpg",
"s000807_09.jpg",
"s000807_10.jpg",
"s000807_11.jpg",
"s000807_12.jpg",
"s000807_13.jpg",
"s000807_14.jpg",
"s000807_15.jpg",
"s000807_16.jpg",
"s000807_17.jpg",
"s000807_18.jpg",
"s000807_19.jpg",
"s000807_20.jpg",
"s000807_21.jpg",
"s000807_22.jpg",
"s000807_23.jpg"
] | a village made of round houses, greenery everywhere, minions | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000807.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 village made of round houses, greenery everywhere, minions\",\nall the 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"
}
] |