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
|
---|---|---|---|---|---|---|---|---|---|
9000061 | [
"9000061_00.jpg",
"9000061_01.jpg",
"9000061_02.jpg",
"9000061_03.jpg",
"9000061_04.jpg",
"9000061_05.jpg",
"9000061_06.jpg",
"9000061_07.jpg",
"9000061_08.jpg",
"9000061_09.jpg",
"9000061_10.jpg",
"9000061_11.jpg",
"9000061_12.jpg",
"9000061_13.jpg",
"9000061_14.jpg",
"9000061_15.jpg",
"9000061_16.jpg",
"9000061_17.jpg",
"9000061_18.jpg",
"9000061_19.jpg",
"9000061_20.jpg",
"9000061_21.jpg",
"9000061_22.jpg",
"9000061_23.jpg"
] | black and white, silent film, The massive doors creak open to reveal a grand but dusty ballroom. Candles magically light themselves, revealing fleeting shadows on the walls. In the center, a grand chandelier illuminates the room with a ghostly glow in the style of Benjamin Christensen | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000061.mp4 | 1 | 1 | 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 \"black and white, silent film, The massive doors creak open to reveal a grand but dusty ballroom. Candles magically light themselves, revealing fleeting shadows on the walls. In the center, a grand chandelier illuminates the room with a ghostly glow in the style of Benjamin Christensen\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
3001332 | [
"3001332_00.jpg",
"3001332_01.jpg",
"3001332_02.jpg",
"3001332_03.jpg",
"3001332_04.jpg",
"3001332_05.jpg",
"3001332_06.jpg",
"3001332_07.jpg",
"3001332_08.jpg",
"3001332_09.jpg",
"3001332_10.jpg",
"3001332_11.jpg",
"3001332_12.jpg",
"3001332_13.jpg",
"3001332_14.jpg",
"3001332_15.jpg"
] | A young artist struggling to find their creative inspiration in a bustling city, feeling lost and disconnected from their passion for art. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001332.mp4 | 2 | 3 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A young artist struggling to find their creative inspiration in a bustling city, feeling lost and disconnected from their passion for art.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
3005195 | [
"3005195_00.jpg",
"3005195_01.jpg",
"3005195_02.jpg",
"3005195_03.jpg",
"3005195_04.jpg",
"3005195_05.jpg",
"3005195_06.jpg",
"3005195_07.jpg",
"3005195_08.jpg",
"3005195_09.jpg",
"3005195_10.jpg",
"3005195_11.jpg",
"3005195_12.jpg",
"3005195_13.jpg",
"3005195_14.jpg",
"3005195_15.jpg"
] | wildlife style, a lion running towards the camera | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005195.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 \"wildlife style, a lion running towards the camera\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
8002074 | [
"8002074_00.jpg",
"8002074_01.jpg",
"8002074_02.jpg",
"8002074_03.jpg",
"8002074_04.jpg",
"8002074_05.jpg",
"8002074_06.jpg",
"8002074_07.jpg",
"8002074_08.jpg",
"8002074_09.jpg",
"8002074_10.jpg",
"8002074_11.jpg",
"8002074_12.jpg",
"8002074_13.jpg",
"8002074_14.jpg",
"8002074_15.jpg",
"8002074_16.jpg",
"8002074_17.jpg",
"8002074_18.jpg",
"8002074_19.jpg",
"8002074_20.jpg",
"8002074_21.jpg",
"8002074_22.jpg",
"8002074_23.jpg"
] | woman speaking about a passionate topic in Bali | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002074.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 \"woman speaking about a passionate topic in Bali\",\nall the 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"
}
] |
0000444 | [
"0000444_00.jpg",
"0000444_01.jpg",
"0000444_02.jpg",
"0000444_03.jpg",
"0000444_04.jpg",
"0000444_05.jpg",
"0000444_06.jpg",
"0000444_07.jpg",
"0000444_08.jpg",
"0000444_09.jpg",
"0000444_10.jpg",
"0000444_11.jpg",
"0000444_12.jpg",
"0000444_13.jpg",
"0000444_14.jpg",
"0000444_15.jpg",
"0000444_16.jpg",
"0000444_17.jpg",
"0000444_18.jpg",
"0000444_19.jpg",
"0000444_20.jpg",
"0000444_21.jpg",
"0000444_22.jpg",
"0000444_23.jpg"
] | showing advertising material Coffee splash swirls around | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000444.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 \"showing advertising material Coffee splash swirls around\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3000335 | [
"3000335_00.jpg",
"3000335_01.jpg",
"3000335_02.jpg",
"3000335_03.jpg",
"3000335_04.jpg",
"3000335_05.jpg",
"3000335_06.jpg",
"3000335_07.jpg",
"3000335_08.jpg",
"3000335_09.jpg",
"3000335_10.jpg",
"3000335_11.jpg",
"3000335_12.jpg",
"3000335_13.jpg",
"3000335_14.jpg",
"3000335_15.jpg"
] | The council decided that the bravest and most skilled animal would embark on this perilous journey. Model: 3d animation. Duration: long | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000335.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 \"The council decided that the bravest and most skilled animal would embark on this perilous journey. Model: 3d animation. Duration: long\",\nall the frames of video are as 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"
}
] |
4003851 | [
"4003851_00.jpg",
"4003851_01.jpg",
"4003851_02.jpg",
"4003851_03.jpg",
"4003851_04.jpg",
"4003851_05.jpg",
"4003851_06.jpg",
"4003851_07.jpg",
"4003851_08.jpg",
"4003851_09.jpg",
"4003851_10.jpg",
"4003851_11.jpg",
"4003851_12.jpg",
"4003851_13.jpg",
"4003851_14.jpg",
"4003851_15.jpg"
] | kids jumping in room colored red, pink, yellow, blue and green | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003851.mp4 | 3 | 1 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"kids jumping in room colored red, pink, yellow, blue and green\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
3001577 | [
"3001577_00.jpg",
"3001577_01.jpg",
"3001577_02.jpg",
"3001577_03.jpg",
"3001577_04.jpg",
"3001577_05.jpg",
"3001577_06.jpg",
"3001577_07.jpg",
"3001577_08.jpg",
"3001577_09.jpg",
"3001577_10.jpg",
"3001577_11.jpg",
"3001577_12.jpg",
"3001577_13.jpg",
"3001577_14.jpg",
"3001577_15.jpg"
] | gundam dog with boy fighting each other | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001577.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 \"gundam dog with boy fighting 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: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
4000880 | [
"4000880_00.jpg",
"4000880_01.jpg",
"4000880_02.jpg",
"4000880_03.jpg",
"4000880_04.jpg",
"4000880_05.jpg",
"4000880_06.jpg",
"4000880_07.jpg",
"4000880_08.jpg",
"4000880_09.jpg",
"4000880_10.jpg",
"4000880_11.jpg",
"4000880_12.jpg",
"4000880_13.jpg",
"4000880_14.jpg",
"4000880_15.jpg"
] | Vincent van Gogh is painting in the room | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000880.mp4 | 2 | 1 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Vincent van Gogh is painting in the room\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1000202 | [
"1000202_00.jpg",
"1000202_01.jpg",
"1000202_02.jpg",
"1000202_03.jpg",
"1000202_04.jpg",
"1000202_05.jpg",
"1000202_06.jpg",
"1000202_07.jpg",
"1000202_08.jpg",
"1000202_09.jpg",
"1000202_10.jpg",
"1000202_11.jpg",
"1000202_12.jpg",
"1000202_13.jpg",
"1000202_14.jpg",
"1000202_15.jpg"
] | The room was covered with a complex system of electronic circuits, electric currents flickered and glowed, and major components were facing the screen,powerful current flashes VFX in the center. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000202.mp4 | 1 | 3 | 2 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The room was covered with a complex system of electronic circuits, electric currents flickered and glowed, and major components were facing the screen,powerful current flashes VFX in the center.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3005865 | [
"3005865_00.jpg",
"3005865_01.jpg",
"3005865_02.jpg",
"3005865_03.jpg",
"3005865_04.jpg",
"3005865_05.jpg",
"3005865_06.jpg",
"3005865_07.jpg",
"3005865_08.jpg",
"3005865_09.jpg",
"3005865_10.jpg",
"3005865_11.jpg",
"3005865_12.jpg",
"3005865_13.jpg",
"3005865_14.jpg",
"3005865_15.jpg"
] | Elara encountering a shimmering pond with a graceful swan named Seraphina by its side. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005865.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 \"Elara encountering a shimmering pond with a graceful swan named Seraphina by its side.\",\nall the frames of video are as 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"
}
] |
6003098 | [
"6003098_00.jpg",
"6003098_01.jpg",
"6003098_02.jpg",
"6003098_03.jpg",
"6003098_04.jpg",
"6003098_05.jpg",
"6003098_06.jpg",
"6003098_07.jpg",
"6003098_08.jpg",
"6003098_09.jpg",
"6003098_10.jpg",
"6003098_11.jpg",
"6003098_12.jpg",
"6003098_13.jpg",
"6003098_14.jpg",
"6003098_15.jpg"
] | cartoon showing red green blue and pink clouds in the sky | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003098.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 \"cartoon showing red green blue and pink clouds in the sky\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1002423 | [
"1002423_00.jpg",
"1002423_01.jpg",
"1002423_02.jpg",
"1002423_03.jpg",
"1002423_04.jpg",
"1002423_05.jpg",
"1002423_06.jpg",
"1002423_07.jpg",
"1002423_08.jpg",
"1002423_09.jpg",
"1002423_10.jpg",
"1002423_11.jpg",
"1002423_12.jpg",
"1002423_13.jpg",
"1002423_14.jpg",
"1002423_15.jpg"
] | magnificent forest, girl reading, sparkling fireflies, butterflies | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002423.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 \"magnificent forest, girl reading, sparkling fireflies, butterflies\",\nall the frames of video are as 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"
}
] |
2002504 | [
"2002504_00.jpg",
"2002504_01.jpg",
"2002504_02.jpg",
"2002504_03.jpg",
"2002504_04.jpg",
"2002504_05.jpg",
"2002504_06.jpg",
"2002504_07.jpg",
"2002504_08.jpg",
"2002504_09.jpg",
"2002504_10.jpg",
"2002504_11.jpg",
"2002504_12.jpg",
"2002504_13.jpg",
"2002504_14.jpg",
"2002504_15.jpg"
] | a woman riding a bicycle as envisioned by Yves Tanguy, Ellsworth Kelly, and Nicolas Poussin | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002504.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 riding a bicycle as envisioned by Yves Tanguy, Ellsworth Kelly, and Nicolas Poussin\",\nall the frames of video are as 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"
}
] |
1004775 | [
"1004775_00.jpg",
"1004775_01.jpg",
"1004775_02.jpg",
"1004775_03.jpg",
"1004775_04.jpg",
"1004775_05.jpg",
"1004775_06.jpg",
"1004775_07.jpg",
"1004775_08.jpg",
"1004775_09.jpg",
"1004775_10.jpg",
"1004775_11.jpg",
"1004775_12.jpg",
"1004775_13.jpg",
"1004775_14.jpg",
"1004775_15.jpg"
] | Luis Royo style illustration of the beautiful Disney Pocahontas, with her tribal outfit, similar to Charisma Carpenter. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004775.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 \"Luis Royo style illustration of the beautiful Disney Pocahontas, with her tribal outfit, similar to Charisma 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> "
},
{
"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"
}
] |
1002044 | [
"1002044_00.jpg",
"1002044_01.jpg",
"1002044_02.jpg",
"1002044_03.jpg",
"1002044_04.jpg",
"1002044_05.jpg",
"1002044_06.jpg",
"1002044_07.jpg",
"1002044_08.jpg",
"1002044_09.jpg",
"1002044_10.jpg",
"1002044_11.jpg",
"1002044_12.jpg",
"1002044_13.jpg",
"1002044_14.jpg",
"1002044_15.jpg"
] | realistic Fidel Castro on a bed connected to wires in a lab inside a cave | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002044.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 \"realistic Fidel Castro on a bed connected to wires in a lab inside a cave\",\nall the frames of video are as 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"
}
] |
3004395 | [
"3004395_00.jpg",
"3004395_01.jpg",
"3004395_02.jpg",
"3004395_03.jpg",
"3004395_04.jpg",
"3004395_05.jpg",
"3004395_06.jpg",
"3004395_07.jpg",
"3004395_08.jpg",
"3004395_09.jpg",
"3004395_10.jpg",
"3004395_11.jpg",
"3004395_12.jpg",
"3004395_13.jpg",
"3004395_14.jpg",
"3004395_15.jpg"
] | gothic Singer singing in a microphone to a crowd in a show | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004395.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 \"gothic Singer singing in a microphone to a crowd in a show\",\nall the frames of video are as 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"
}
] |
0003962 | [
"0003962_00.jpg",
"0003962_01.jpg",
"0003962_02.jpg",
"0003962_03.jpg",
"0003962_04.jpg",
"0003962_05.jpg",
"0003962_06.jpg",
"0003962_07.jpg",
"0003962_08.jpg",
"0003962_09.jpg",
"0003962_10.jpg",
"0003962_11.jpg",
"0003962_12.jpg",
"0003962_13.jpg",
"0003962_14.jpg",
"0003962_15.jpg",
"0003962_16.jpg",
"0003962_17.jpg",
"0003962_18.jpg",
"0003962_19.jpg",
"0003962_20.jpg",
"0003962_21.jpg",
"0003962_22.jpg",
"0003962_23.jpg"
] | Alan Turning taking the Turing test. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003962.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 \"Alan Turning taking the Turing test.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2005817 | [
"2005817_00.jpg",
"2005817_01.jpg",
"2005817_02.jpg",
"2005817_03.jpg",
"2005817_04.jpg",
"2005817_05.jpg",
"2005817_06.jpg",
"2005817_07.jpg",
"2005817_08.jpg",
"2005817_09.jpg",
"2005817_10.jpg",
"2005817_11.jpg",
"2005817_12.jpg",
"2005817_13.jpg",
"2005817_14.jpg",
"2005817_15.jpg"
] | white towel floating through the air | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005817.mp4 | 3 | 2 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"white towel floating through the air\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6000064 | [
"6000064_00.jpg",
"6000064_01.jpg",
"6000064_02.jpg",
"6000064_03.jpg",
"6000064_04.jpg",
"6000064_05.jpg",
"6000064_06.jpg",
"6000064_07.jpg",
"6000064_08.jpg",
"6000064_09.jpg",
"6000064_10.jpg",
"6000064_11.jpg",
"6000064_12.jpg",
"6000064_13.jpg",
"6000064_14.jpg",
"6000064_15.jpg"
] | Visualize Mahatma Gandhi deep in thought, contemplating the teachings of Jesus and the essence of Christianity. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000064.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 \"Visualize Mahatma Gandhi deep in thought, contemplating the teachings of Jesus and the essence of Christianity.\",\nall the frames of video are as 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"
}
] |
7000524 | [
"7000524_00.jpg",
"7000524_01.jpg",
"7000524_02.jpg",
"7000524_03.jpg",
"7000524_04.jpg",
"7000524_05.jpg",
"7000524_06.jpg",
"7000524_07.jpg"
] | a house floating around the sky | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000524.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 house floating around the sky\",\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"
}
] |
9000890 | [
"9000890_00.jpg",
"9000890_01.jpg",
"9000890_02.jpg",
"9000890_03.jpg",
"9000890_04.jpg",
"9000890_05.jpg",
"9000890_06.jpg",
"9000890_07.jpg",
"9000890_08.jpg",
"9000890_09.jpg",
"9000890_10.jpg",
"9000890_11.jpg",
"9000890_12.jpg",
"9000890_13.jpg",
"9000890_14.jpg",
"9000890_15.jpg",
"9000890_16.jpg",
"9000890_17.jpg",
"9000890_18.jpg",
"9000890_19.jpg",
"9000890_20.jpg",
"9000890_21.jpg",
"9000890_22.jpg",
"9000890_23.jpg"
] | A plastic bag is flying through the sky, with a sandy beach in the background. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000890.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 plastic bag is flying through the sky, with a sandy beach in the 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: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1002639 | [
"1002639_00.jpg",
"1002639_01.jpg",
"1002639_02.jpg",
"1002639_03.jpg",
"1002639_04.jpg",
"1002639_05.jpg",
"1002639_06.jpg",
"1002639_07.jpg",
"1002639_08.jpg",
"1002639_09.jpg",
"1002639_10.jpg",
"1002639_11.jpg",
"1002639_12.jpg",
"1002639_13.jpg",
"1002639_14.jpg",
"1002639_15.jpg"
] | an animated dog, fireworks bursting, in the background sky a textsign, Happy Newyear | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002639.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 animated dog, fireworks bursting, in the background sky a textsign, Happy Newyear\",\nall the frames of video are as 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"
}
] |
0004409 | [
"0004409_00.jpg",
"0004409_01.jpg",
"0004409_02.jpg",
"0004409_03.jpg",
"0004409_04.jpg",
"0004409_05.jpg",
"0004409_06.jpg",
"0004409_07.jpg",
"0004409_08.jpg",
"0004409_09.jpg",
"0004409_10.jpg",
"0004409_11.jpg",
"0004409_12.jpg",
"0004409_13.jpg",
"0004409_14.jpg",
"0004409_15.jpg",
"0004409_16.jpg",
"0004409_17.jpg",
"0004409_18.jpg",
"0004409_19.jpg",
"0004409_20.jpg",
"0004409_21.jpg",
"0004409_22.jpg",
"0004409_23.jpg"
] | The handsome boy is listening to music through headphones near the window of the bus, in a surreal style, with a blue theme at night, rain, HD, 8K, 3D | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004409.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 \"The handsome boy is listening to music through headphones near the window of the bus, in a surreal style, with a blue theme at night, rain, HD, 8K, 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> <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"
}
] |
6000555 | [
"6000555_00.jpg",
"6000555_01.jpg",
"6000555_02.jpg",
"6000555_03.jpg",
"6000555_04.jpg",
"6000555_05.jpg",
"6000555_06.jpg",
"6000555_07.jpg",
"6000555_08.jpg",
"6000555_09.jpg",
"6000555_10.jpg",
"6000555_11.jpg",
"6000555_12.jpg",
"6000555_13.jpg",
"6000555_14.jpg",
"6000555_15.jpg"
] | 2d walking girls 60 second length video | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000555.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 \"2d walking girls 60 second length video\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0001339 | [
"0001339_00.jpg",
"0001339_01.jpg",
"0001339_02.jpg",
"0001339_03.jpg",
"0001339_04.jpg",
"0001339_05.jpg",
"0001339_06.jpg",
"0001339_07.jpg",
"0001339_08.jpg",
"0001339_09.jpg",
"0001339_10.jpg",
"0001339_11.jpg",
"0001339_12.jpg",
"0001339_13.jpg",
"0001339_14.jpg",
"0001339_15.jpg",
"0001339_16.jpg",
"0001339_17.jpg",
"0001339_18.jpg",
"0001339_19.jpg",
"0001339_20.jpg",
"0001339_21.jpg",
"0001339_22.jpg",
"0001339_23.jpg"
] | a shark attacks a beautiful girl in bikini, realistic, camera out of water, view from top, 4K | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001339.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 shark attacks a beautiful girl in bikini, realistic, camera out of water, view from top, 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> <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"
}
] |
6000220 | [
"6000220_00.jpg",
"6000220_01.jpg",
"6000220_02.jpg",
"6000220_03.jpg",
"6000220_04.jpg",
"6000220_05.jpg",
"6000220_06.jpg",
"6000220_07.jpg",
"6000220_08.jpg",
"6000220_09.jpg",
"6000220_10.jpg",
"6000220_11.jpg",
"6000220_12.jpg",
"6000220_13.jpg",
"6000220_14.jpg",
"6000220_15.jpg"
] | establishing aerial drone shot of a group of Cyborg robot beyonce with handguns entering a futuristic laboratory | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000220.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 \"establishing aerial drone shot of a group of Cyborg robot beyonce with handguns entering a futuristic laboratory\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
4004532 | [
"4004532_00.jpg",
"4004532_01.jpg",
"4004532_02.jpg",
"4004532_03.jpg",
"4004532_04.jpg",
"4004532_05.jpg",
"4004532_06.jpg",
"4004532_07.jpg",
"4004532_08.jpg",
"4004532_09.jpg",
"4004532_10.jpg",
"4004532_11.jpg",
"4004532_12.jpg",
"4004532_13.jpg",
"4004532_14.jpg",
"4004532_15.jpg"
] | moving clouds, in bright blue sky and then space | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004532.mp4 | 3 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"moving clouds, in bright blue sky and then space\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1000158 | [
"1000158_00.jpg",
"1000158_01.jpg",
"1000158_02.jpg",
"1000158_03.jpg",
"1000158_04.jpg",
"1000158_05.jpg",
"1000158_06.jpg",
"1000158_07.jpg",
"1000158_08.jpg",
"1000158_09.jpg",
"1000158_10.jpg",
"1000158_11.jpg",
"1000158_12.jpg",
"1000158_13.jpg",
"1000158_14.jpg",
"1000158_15.jpg"
] | golf ball rolling across freshly cut green | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000158.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 \"golf ball rolling across freshly cut green\",\nall the frames of video are as 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"
}
] |
8002714 | [
"8002714_00.jpg",
"8002714_01.jpg",
"8002714_02.jpg",
"8002714_03.jpg",
"8002714_04.jpg",
"8002714_05.jpg",
"8002714_06.jpg",
"8002714_07.jpg",
"8002714_08.jpg",
"8002714_09.jpg",
"8002714_10.jpg",
"8002714_11.jpg",
"8002714_12.jpg",
"8002714_13.jpg",
"8002714_14.jpg",
"8002714_15.jpg",
"8002714_16.jpg",
"8002714_17.jpg",
"8002714_18.jpg",
"8002714_19.jpg",
"8002714_20.jpg",
"8002714_21.jpg",
"8002714_22.jpg",
"8002714_23.jpg"
] | men in business suits shaking hands against the backdrop of a panoramic view of dubai | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002714.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 \"men in business suits shaking hands against the backdrop of a panoramic view of dubai\",\nall the 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"
}
] |
5000129 | [
"5000129_00.jpg",
"5000129_01.jpg",
"5000129_02.jpg",
"5000129_03.jpg",
"5000129_04.jpg",
"5000129_05.jpg",
"5000129_06.jpg",
"5000129_07.jpg",
"5000129_08.jpg",
"5000129_09.jpg",
"5000129_10.jpg",
"5000129_11.jpg",
"5000129_12.jpg",
"5000129_13.jpg",
"5000129_14.jpg",
"5000129_15.jpg"
] | A young man with a peculiar appearance, he is teased by his peers ZOOM IN | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000129.mp4 | 3 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A young man with a peculiar appearance, he is teased by his peers ZOOM IN\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0002555 | [
"0002555_00.jpg",
"0002555_01.jpg",
"0002555_02.jpg",
"0002555_03.jpg",
"0002555_04.jpg",
"0002555_05.jpg",
"0002555_06.jpg",
"0002555_07.jpg",
"0002555_08.jpg",
"0002555_09.jpg",
"0002555_10.jpg",
"0002555_11.jpg",
"0002555_12.jpg",
"0002555_13.jpg",
"0002555_14.jpg",
"0002555_15.jpg",
"0002555_16.jpg",
"0002555_17.jpg",
"0002555_18.jpg",
"0002555_19.jpg",
"0002555_20.jpg",
"0002555_21.jpg",
"0002555_22.jpg",
"0002555_23.jpg"
] | popcorn begins to move. Suddenly, the kernels of corn transform into tiny, yet impressively armored popcorn warriors | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002555.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 \"popcorn begins to move. Suddenly, the kernels of corn transform into tiny, yet impressively armored popcorn warriors\",\nall the 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"
}
] |
5000963 | [
"5000963_00.jpg",
"5000963_01.jpg",
"5000963_02.jpg",
"5000963_03.jpg",
"5000963_04.jpg",
"5000963_05.jpg",
"5000963_06.jpg",
"5000963_07.jpg",
"5000963_08.jpg",
"5000963_09.jpg",
"5000963_10.jpg",
"5000963_11.jpg",
"5000963_12.jpg",
"5000963_13.jpg",
"5000963_14.jpg",
"5000963_15.jpg"
] | Leave anonymous notes of encouragement: Write uplifting messages on sticky notes and place them in public places like restrooms, bus stops, or library books. Encourage others to spread positivity as well. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000963.mp4 | 2 | 2 | 2 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Leave anonymous notes of encouragement: Write uplifting messages on sticky notes and place them in public places like restrooms, bus stops, or library books. Encourage others to spread positivity as well.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
6002851 | [
"6002851_00.jpg",
"6002851_01.jpg",
"6002851_02.jpg",
"6002851_03.jpg",
"6002851_04.jpg",
"6002851_05.jpg",
"6002851_06.jpg",
"6002851_07.jpg",
"6002851_08.jpg",
"6002851_09.jpg",
"6002851_10.jpg",
"6002851_11.jpg",
"6002851_12.jpg",
"6002851_13.jpg",
"6002851_14.jpg",
"6002851_15.jpg"
] | boy reading to the tree, imagination, lighting, cartoon, 3d, realistic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002851.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 \"boy reading to the tree, imagination, lighting, cartoon, 3d, realistic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
3002766 | [
"3002766_00.jpg",
"3002766_01.jpg",
"3002766_02.jpg",
"3002766_03.jpg",
"3002766_04.jpg",
"3002766_05.jpg",
"3002766_06.jpg",
"3002766_07.jpg",
"3002766_08.jpg",
"3002766_09.jpg",
"3002766_10.jpg",
"3002766_11.jpg",
"3002766_12.jpg",
"3002766_13.jpg",
"3002766_14.jpg",
"3002766_15.jpg"
] | Opening Shot (5 seconds): Start with a tranquil image of a person meditating in a serene natural setting, showcasing peace and balance. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002766.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 \"Opening Shot (5 seconds): Start with a tranquil image of a person meditating in a serene natural setting, showcasing peace and balance.\",\nall the frames of video are as 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"
}
] |
7002712 | [
"7002712_00.jpg",
"7002712_01.jpg",
"7002712_02.jpg",
"7002712_03.jpg",
"7002712_04.jpg",
"7002712_05.jpg",
"7002712_06.jpg",
"7002712_07.jpg"
] | save the date flyer, save the date announcement, astrology, lecture, learn, stars, sacred geometry | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002712.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 \"save the date flyer, save the date announcement, astrology, lecture, learn, stars, sacred geometry\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2000599 | [
"2000599_00.jpg",
"2000599_01.jpg",
"2000599_02.jpg",
"2000599_03.jpg",
"2000599_04.jpg",
"2000599_05.jpg",
"2000599_06.jpg",
"2000599_07.jpg",
"2000599_08.jpg",
"2000599_09.jpg",
"2000599_10.jpg",
"2000599_11.jpg",
"2000599_12.jpg",
"2000599_13.jpg",
"2000599_14.jpg",
"2000599_15.jpg"
] | girl in winter clothes expression changing from cheering to horrified as she raises her hands to protect her face | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000599.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 \"girl in winter clothes expression changing from cheering to horrified as she raises her hands to protect her 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: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1006069 | [
"1006069_00.jpg",
"1006069_01.jpg",
"1006069_02.jpg",
"1006069_03.jpg",
"1006069_04.jpg",
"1006069_05.jpg",
"1006069_06.jpg",
"1006069_07.jpg",
"1006069_08.jpg",
"1006069_09.jpg",
"1006069_10.jpg",
"1006069_11.jpg",
"1006069_12.jpg",
"1006069_13.jpg",
"1006069_14.jpg",
"1006069_15.jpg"
] | 8 billion people telling stories in Timesw Square, include street performers | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006069.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 \"8 billion people telling stories in Timesw Square, include street performers\",\nall the frames of video are as 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"
}
] |
4001682 | [
"4001682_00.jpg",
"4001682_01.jpg",
"4001682_02.jpg",
"4001682_03.jpg",
"4001682_04.jpg",
"4001682_05.jpg",
"4001682_06.jpg",
"4001682_07.jpg",
"4001682_08.jpg",
"4001682_09.jpg",
"4001682_10.jpg",
"4001682_11.jpg",
"4001682_12.jpg",
"4001682_13.jpg",
"4001682_14.jpg",
"4001682_15.jpg"
] | prompt close up of a moving poster in a one room apartment | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001682.mp4 | 3 | 1 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"prompt close up of a moving poster in a one room apartment\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1001232 | [
"1001232_00.jpg",
"1001232_01.jpg",
"1001232_02.jpg",
"1001232_03.jpg",
"1001232_04.jpg",
"1001232_05.jpg",
"1001232_06.jpg",
"1001232_07.jpg",
"1001232_08.jpg",
"1001232_09.jpg",
"1001232_10.jpg",
"1001232_11.jpg",
"1001232_12.jpg",
"1001232_13.jpg",
"1001232_14.jpg",
"1001232_15.jpg"
] | Video showing a world with people around the world with a vote in their hand waving the vote paper. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001232.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 \"Video showing a world with people around the world with a vote in their hand waving the vote paper.\",\nall the frames of video are as 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"
}
] |
2005331 | [
"2005331_00.jpg",
"2005331_01.jpg",
"2005331_02.jpg",
"2005331_03.jpg",
"2005331_04.jpg",
"2005331_05.jpg",
"2005331_06.jpg",
"2005331_07.jpg",
"2005331_08.jpg",
"2005331_09.jpg",
"2005331_10.jpg",
"2005331_11.jpg",
"2005331_12.jpg",
"2005331_13.jpg",
"2005331_14.jpg",
"2005331_15.jpg"
] | cinematic shot of greek lighthouse shining light on a greek boat caught in a stormy weather, epic, dramatic, waves, storm, thunder | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005331.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 \"cinematic shot of greek lighthouse shining light on a greek boat caught in a stormy weather, epic, dramatic, waves, storm, thunder\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
8000001 | [
"8000001_00.jpg",
"8000001_01.jpg",
"8000001_02.jpg",
"8000001_03.jpg",
"8000001_04.jpg",
"8000001_05.jpg",
"8000001_06.jpg",
"8000001_07.jpg",
"8000001_08.jpg",
"8000001_09.jpg",
"8000001_10.jpg",
"8000001_11.jpg",
"8000001_12.jpg",
"8000001_13.jpg",
"8000001_14.jpg",
"8000001_15.jpg",
"8000001_16.jpg",
"8000001_17.jpg",
"8000001_18.jpg",
"8000001_19.jpg",
"8000001_20.jpg",
"8000001_21.jpg",
"8000001_22.jpg",
"8000001_23.jpg"
] | Crocus crystal bead drop candy house | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000001.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 \"Crocus crystal bead drop candy house\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
9000667 | [
"9000667_00.jpg",
"9000667_01.jpg",
"9000667_02.jpg",
"9000667_03.jpg",
"9000667_04.jpg",
"9000667_05.jpg",
"9000667_06.jpg",
"9000667_07.jpg",
"9000667_08.jpg",
"9000667_09.jpg",
"9000667_10.jpg",
"9000667_11.jpg",
"9000667_12.jpg",
"9000667_13.jpg",
"9000667_14.jpg",
"9000667_15.jpg",
"9000667_16.jpg",
"9000667_17.jpg",
"9000667_18.jpg",
"9000667_19.jpg",
"9000667_20.jpg",
"9000667_21.jpg",
"9000667_22.jpg",
"9000667_23.jpg"
] | Moscow, burning Kremlin in war, footage from helicopter, cinematic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000667.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 \"Moscow, burning Kremlin in war, footage from helicopter, cinematic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1001330 | [
"1001330_00.jpg",
"1001330_01.jpg",
"1001330_02.jpg",
"1001330_03.jpg",
"1001330_04.jpg",
"1001330_05.jpg",
"1001330_06.jpg",
"1001330_07.jpg",
"1001330_08.jpg",
"1001330_09.jpg",
"1001330_10.jpg",
"1001330_11.jpg",
"1001330_12.jpg",
"1001330_13.jpg",
"1001330_14.jpg",
"1001330_15.jpg"
] | photo of sky with sun, clouds, and sea | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001330.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 \"photo of sky with sun, clouds, and sea\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2002677 | [
"2002677_00.jpg",
"2002677_01.jpg",
"2002677_02.jpg",
"2002677_03.jpg",
"2002677_04.jpg",
"2002677_05.jpg",
"2002677_06.jpg",
"2002677_07.jpg",
"2002677_08.jpg",
"2002677_09.jpg",
"2002677_10.jpg",
"2002677_11.jpg",
"2002677_12.jpg",
"2002677_13.jpg",
"2002677_14.jpg",
"2002677_15.jpg"
] | a music video intro for Drift King with text that says Drift King | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002677.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 music video intro for Drift King with text that says Drift King\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3001506 | [
"3001506_00.jpg",
"3001506_01.jpg",
"3001506_02.jpg",
"3001506_03.jpg",
"3001506_04.jpg",
"3001506_05.jpg",
"3001506_06.jpg",
"3001506_07.jpg",
"3001506_08.jpg",
"3001506_09.jpg",
"3001506_10.jpg",
"3001506_11.jpg",
"3001506_12.jpg",
"3001506_13.jpg",
"3001506_14.jpg",
"3001506_15.jpg"
] | in discussion,police issuing fine paper to driver at car window polite driver | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001506.mp4 | 3 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"in discussion,police issuing fine paper to driver at car window polite driver\",\nall the frames of video are as 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"
}
] |
3000799 | [
"3000799_00.jpg",
"3000799_01.jpg",
"3000799_02.jpg",
"3000799_03.jpg",
"3000799_04.jpg",
"3000799_05.jpg",
"3000799_06.jpg",
"3000799_07.jpg",
"3000799_08.jpg",
"3000799_09.jpg",
"3000799_10.jpg",
"3000799_11.jpg",
"3000799_12.jpg",
"3000799_13.jpg",
"3000799_14.jpg",
"3000799_15.jpg"
] | space Highway with cars speeding through traffic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000799.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 \"space Highway with cars speeding through traffic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1001975 | [
"1001975_00.jpg",
"1001975_01.jpg",
"1001975_02.jpg",
"1001975_03.jpg",
"1001975_04.jpg",
"1001975_05.jpg",
"1001975_06.jpg",
"1001975_07.jpg",
"1001975_08.jpg",
"1001975_09.jpg",
"1001975_10.jpg",
"1001975_11.jpg",
"1001975_12.jpg",
"1001975_13.jpg",
"1001975_14.jpg",
"1001975_15.jpg"
] | flying with bird wings, 1920’s film | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001975.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 \"flying with bird wings, 1920’s film\",\nall the frames of video are as 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"
}
] |
2002784 | [
"2002784_00.jpg",
"2002784_01.jpg",
"2002784_02.jpg",
"2002784_03.jpg",
"2002784_04.jpg",
"2002784_05.jpg",
"2002784_06.jpg",
"2002784_07.jpg",
"2002784_08.jpg",
"2002784_09.jpg",
"2002784_10.jpg",
"2002784_11.jpg",
"2002784_12.jpg",
"2002784_13.jpg",
"2002784_14.jpg",
"2002784_15.jpg"
] | A mysterious alchemy laboratory appeared in the night, with stars and distant lights reflecting on it. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002784.mp4 | 3 | 3 | 1 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A mysterious alchemy laboratory appeared in the night, with stars and distant lights reflecting on it.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3000999 | [
"3000999_00.jpg",
"3000999_01.jpg",
"3000999_02.jpg",
"3000999_03.jpg",
"3000999_04.jpg",
"3000999_05.jpg",
"3000999_06.jpg",
"3000999_07.jpg",
"3000999_08.jpg",
"3000999_09.jpg",
"3000999_10.jpg",
"3000999_11.jpg",
"3000999_12.jpg",
"3000999_13.jpg",
"3000999_14.jpg",
"3000999_15.jpg"
] | Shawn Mendes and Sabrina Carpenter singing in the choir | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000999.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 \"Shawn Mendes and Sabrina Carpenter singing in the choir\",\nall the frames of video are as 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"
}
] |
1000073 | [
"1000073_00.jpg",
"1000073_01.jpg",
"1000073_02.jpg",
"1000073_03.jpg",
"1000073_04.jpg",
"1000073_05.jpg",
"1000073_06.jpg",
"1000073_07.jpg",
"1000073_08.jpg",
"1000073_09.jpg",
"1000073_10.jpg",
"1000073_11.jpg",
"1000073_12.jpg",
"1000073_13.jpg",
"1000073_14.jpg",
"1000073_15.jpg"
] | demon playing the ouija board, cinematic horror trailer style. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000073.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 \"demon playing the ouija board, cinematic horror trailer style.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
2001895 | [
"2001895_00.jpg",
"2001895_01.jpg",
"2001895_02.jpg",
"2001895_03.jpg",
"2001895_04.jpg",
"2001895_05.jpg",
"2001895_06.jpg",
"2001895_07.jpg",
"2001895_08.jpg",
"2001895_09.jpg",
"2001895_10.jpg",
"2001895_11.jpg",
"2001895_12.jpg",
"2001895_13.jpg",
"2001895_14.jpg",
"2001895_15.jpg"
] | tamil kings in the war battle | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001895.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 \"tamil kings in the war battle\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
4001638 | [
"4001638_00.jpg",
"4001638_01.jpg",
"4001638_02.jpg",
"4001638_03.jpg",
"4001638_04.jpg",
"4001638_05.jpg",
"4001638_06.jpg",
"4001638_07.jpg",
"4001638_08.jpg",
"4001638_09.jpg",
"4001638_10.jpg",
"4001638_11.jpg",
"4001638_12.jpg",
"4001638_13.jpg",
"4001638_14.jpg",
"4001638_15.jpg"
] | in a newspaper Message: Lavinia (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001638.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 \"in a newspaper Message: Lavinia (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2006094 | [
"2006094_00.jpg",
"2006094_01.jpg",
"2006094_02.jpg",
"2006094_03.jpg",
"2006094_04.jpg",
"2006094_05.jpg",
"2006094_06.jpg",
"2006094_07.jpg",
"2006094_08.jpg",
"2006094_09.jpg",
"2006094_10.jpg",
"2006094_11.jpg",
"2006094_12.jpg",
"2006094_13.jpg",
"2006094_14.jpg",
"2006094_15.jpg"
] | New York City submerged like Atlantis. Fish, whales, sea turtles and sharks swim through the streets of New York. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006094.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 \"New York City submerged like Atlantis. Fish, whales, sea turtles and sharks swim through the streets of New York.\",\nall the frames of video are as 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"
}
] |
6004022 | [
"6004022_00.jpg",
"6004022_01.jpg",
"6004022_02.jpg",
"6004022_03.jpg",
"6004022_04.jpg",
"6004022_05.jpg",
"6004022_06.jpg",
"6004022_07.jpg",
"6004022_08.jpg",
"6004022_09.jpg",
"6004022_10.jpg",
"6004022_11.jpg",
"6004022_12.jpg",
"6004022_13.jpg",
"6004022_14.jpg",
"6004022_15.jpg"
] | Visualize a grave, standing amidst the fields, encountering the Crow for the first time. Show their initial interaction, conveying their differences in character. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004022.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 \"Visualize a grave, standing amidst the fields, encountering the Crow for the first time. Show their initial interaction, conveying their differences in character.\",\nall the frames of video are as 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"
}
] |
2001044 | [
"2001044_00.jpg",
"2001044_01.jpg",
"2001044_02.jpg",
"2001044_03.jpg",
"2001044_04.jpg",
"2001044_05.jpg",
"2001044_06.jpg",
"2001044_07.jpg",
"2001044_08.jpg",
"2001044_09.jpg",
"2001044_10.jpg",
"2001044_11.jpg",
"2001044_12.jpg",
"2001044_13.jpg",
"2001044_14.jpg",
"2001044_15.jpg"
] | a cow | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001044.mp4 | 2 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a cow\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1003302 | [
"1003302_00.jpg",
"1003302_01.jpg",
"1003302_02.jpg",
"1003302_03.jpg",
"1003302_04.jpg",
"1003302_05.jpg",
"1003302_06.jpg",
"1003302_07.jpg",
"1003302_08.jpg",
"1003302_09.jpg",
"1003302_10.jpg",
"1003302_11.jpg",
"1003302_12.jpg",
"1003302_13.jpg",
"1003302_14.jpg",
"1003302_15.jpg"
] | a Chinese woman Running on the shore on the morning | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003302.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 Chinese woman Running on the shore on the morning\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
6002820 | [
"6002820_00.jpg",
"6002820_01.jpg",
"6002820_02.jpg",
"6002820_03.jpg",
"6002820_04.jpg",
"6002820_05.jpg",
"6002820_06.jpg",
"6002820_07.jpg",
"6002820_08.jpg",
"6002820_09.jpg",
"6002820_10.jpg",
"6002820_11.jpg",
"6002820_12.jpg",
"6002820_13.jpg",
"6002820_14.jpg",
"6002820_15.jpg"
] | man sitting on bedin bedroom, hands in the air. hundreds of various printed pillows falling down from above | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002820.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 \"man sitting on bedin bedroom, hands in the air. hundreds of various printed pillows falling down from above\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
8001331 | [
"8001331_00.jpg",
"8001331_01.jpg",
"8001331_02.jpg",
"8001331_03.jpg",
"8001331_04.jpg",
"8001331_05.jpg",
"8001331_06.jpg",
"8001331_07.jpg",
"8001331_08.jpg",
"8001331_09.jpg",
"8001331_10.jpg",
"8001331_11.jpg",
"8001331_12.jpg",
"8001331_13.jpg",
"8001331_14.jpg",
"8001331_15.jpg",
"8001331_16.jpg",
"8001331_17.jpg",
"8001331_18.jpg",
"8001331_19.jpg",
"8001331_20.jpg",
"8001331_21.jpg",
"8001331_22.jpg",
"8001331_23.jpg"
] | large companies like Google and other internet giants gain access to our public services and facilities. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001331.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 \"large companies like Google and other internet giants gain access to our public services and facilities.\",\nall the 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"
}
] |
3004223 | [
"3004223_00.jpg",
"3004223_01.jpg",
"3004223_02.jpg",
"3004223_03.jpg",
"3004223_04.jpg",
"3004223_05.jpg",
"3004223_06.jpg",
"3004223_07.jpg",
"3004223_08.jpg",
"3004223_09.jpg",
"3004223_10.jpg",
"3004223_11.jpg",
"3004223_12.jpg",
"3004223_13.jpg",
"3004223_14.jpg",
"3004223_15.jpg"
] | campsite | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004223.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 \"campsite\",\nall the frames of video are as 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"
}
] |
4001041 | [
"4001041_00.jpg",
"4001041_01.jpg",
"4001041_02.jpg",
"4001041_03.jpg",
"4001041_04.jpg",
"4001041_05.jpg",
"4001041_06.jpg",
"4001041_07.jpg",
"4001041_08.jpg",
"4001041_09.jpg",
"4001041_10.jpg",
"4001041_11.jpg",
"4001041_12.jpg",
"4001041_13.jpg",
"4001041_14.jpg",
"4001041_15.jpg"
] | dancing in an echo chamber, noir, moody, psychedelic, cinematic, camera move, motion 4 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001041.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 \"dancing in an echo chamber, noir, moody, psychedelic, cinematic, camera move, motion 4\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6000629 | [
"6000629_00.jpg",
"6000629_01.jpg",
"6000629_02.jpg",
"6000629_03.jpg",
"6000629_04.jpg",
"6000629_05.jpg",
"6000629_06.jpg",
"6000629_07.jpg",
"6000629_08.jpg",
"6000629_09.jpg",
"6000629_10.jpg",
"6000629_11.jpg",
"6000629_12.jpg",
"6000629_13.jpg",
"6000629_14.jpg",
"6000629_15.jpg"
] | chewbacca with a beer belly wearing a santa claus hat at christmas time | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000629.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 \"chewbacca with a beer belly wearing a santa claus hat at christmas time\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
1002562 | [
"1002562_00.jpg",
"1002562_01.jpg",
"1002562_02.jpg",
"1002562_03.jpg",
"1002562_04.jpg",
"1002562_05.jpg",
"1002562_06.jpg",
"1002562_07.jpg",
"1002562_08.jpg",
"1002562_09.jpg",
"1002562_10.jpg",
"1002562_11.jpg",
"1002562_12.jpg",
"1002562_13.jpg",
"1002562_14.jpg",
"1002562_15.jpg"
] | A beautiful sea reef that illuminates the sun, ultra wide shot | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002562.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 beautiful sea reef that illuminates the sun, ultra wide shot\",\nall the frames of video are as 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"
}
] |
4002267 | [
"4002267_00.jpg",
"4002267_01.jpg",
"4002267_02.jpg",
"4002267_03.jpg",
"4002267_04.jpg",
"4002267_05.jpg",
"4002267_06.jpg",
"4002267_07.jpg",
"4002267_08.jpg",
"4002267_09.jpg",
"4002267_10.jpg",
"4002267_11.jpg",
"4002267_12.jpg",
"4002267_13.jpg",
"4002267_14.jpg",
"4002267_15.jpg"
] | A handsome young Indian man standing in his house showing despair | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002267.mp4 | 3 | 1 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A handsome young Indian man standing in his house showing despair\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6002139 | [
"6002139_00.jpg",
"6002139_01.jpg",
"6002139_02.jpg",
"6002139_03.jpg",
"6002139_04.jpg",
"6002139_05.jpg",
"6002139_06.jpg",
"6002139_07.jpg",
"6002139_08.jpg",
"6002139_09.jpg",
"6002139_10.jpg",
"6002139_11.jpg",
"6002139_12.jpg",
"6002139_13.jpg",
"6002139_14.jpg",
"6002139_15.jpg"
] | pretty joyful female with hair dressed talking with satisfaction | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002139.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 \"pretty joyful female with hair dressed talking with satisfaction\",\nall the frames of video are as 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"
}
] |
1003411 | [
"1003411_00.jpg",
"1003411_01.jpg",
"1003411_02.jpg",
"1003411_03.jpg",
"1003411_04.jpg",
"1003411_05.jpg",
"1003411_06.jpg",
"1003411_07.jpg",
"1003411_08.jpg",
"1003411_09.jpg",
"1003411_10.jpg",
"1003411_11.jpg",
"1003411_12.jpg",
"1003411_13.jpg",
"1003411_14.jpg",
"1003411_15.jpg"
] | However, one night before the siege, sacred dreams began to guide sultan. , cinematic ,reliastic , ultra hd | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003411.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 \"However, one night before the siege, sacred dreams began to guide sultan. , cinematic ,reliastic , ultra hd\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
8001276 | [
"8001276_00.jpg",
"8001276_01.jpg",
"8001276_02.jpg",
"8001276_03.jpg",
"8001276_04.jpg",
"8001276_05.jpg",
"8001276_06.jpg",
"8001276_07.jpg",
"8001276_08.jpg",
"8001276_09.jpg",
"8001276_10.jpg",
"8001276_11.jpg",
"8001276_12.jpg",
"8001276_13.jpg",
"8001276_14.jpg",
"8001276_15.jpg",
"8001276_16.jpg",
"8001276_17.jpg",
"8001276_18.jpg",
"8001276_19.jpg",
"8001276_20.jpg",
"8001276_21.jpg",
"8001276_22.jpg",
"8001276_23.jpg"
] | the process of how are sebaceous filaments formed | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001276.mp4 | 1 | 1 | 2 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"the process of how are sebaceous filaments formed\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
8000554 | [
"8000554_00.jpg",
"8000554_01.jpg",
"8000554_02.jpg",
"8000554_03.jpg",
"8000554_04.jpg",
"8000554_05.jpg",
"8000554_06.jpg",
"8000554_07.jpg",
"8000554_08.jpg",
"8000554_09.jpg",
"8000554_10.jpg",
"8000554_11.jpg",
"8000554_12.jpg",
"8000554_13.jpg",
"8000554_14.jpg",
"8000554_15.jpg",
"8000554_16.jpg",
"8000554_17.jpg",
"8000554_18.jpg",
"8000554_19.jpg",
"8000554_20.jpg",
"8000554_21.jpg",
"8000554_22.jpg",
"8000554_23.jpg"
] | A young Chinese Taoist boy stands in the courtyard of an ancient Chinese building, looking ahead with his hands together and talking | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000554.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 young Chinese Taoist boy stands in the courtyard of an ancient Chinese building, looking ahead with his hands together and talking\",\nall the 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"
}
] |
6001003 | [
"6001003_00.jpg",
"6001003_01.jpg",
"6001003_02.jpg",
"6001003_03.jpg",
"6001003_04.jpg",
"6001003_05.jpg",
"6001003_06.jpg",
"6001003_07.jpg",
"6001003_08.jpg",
"6001003_09.jpg",
"6001003_10.jpg",
"6001003_11.jpg",
"6001003_12.jpg",
"6001003_13.jpg",
"6001003_14.jpg",
"6001003_15.jpg"
] | a superhero saving a woman from falling out of a building | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001003.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 superhero saving a woman from falling out of a building\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
5000445 | [
"5000445_00.jpg",
"5000445_01.jpg",
"5000445_02.jpg",
"5000445_03.jpg",
"5000445_04.jpg",
"5000445_05.jpg",
"5000445_06.jpg",
"5000445_07.jpg",
"5000445_08.jpg",
"5000445_09.jpg",
"5000445_10.jpg",
"5000445_11.jpg",
"5000445_12.jpg",
"5000445_13.jpg",
"5000445_14.jpg",
"5000445_15.jpg"
] | cartoon scene of a duck walking on grass, 1987 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000445.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 \"cartoon scene of a duck walking on grass, 1987\",\nall the frames of video are as 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"
}
] |
0001334 | [
"0001334_00.jpg",
"0001334_01.jpg",
"0001334_02.jpg",
"0001334_03.jpg",
"0001334_04.jpg",
"0001334_05.jpg",
"0001334_06.jpg",
"0001334_07.jpg",
"0001334_08.jpg",
"0001334_09.jpg",
"0001334_10.jpg",
"0001334_11.jpg",
"0001334_12.jpg",
"0001334_13.jpg",
"0001334_14.jpg",
"0001334_15.jpg",
"0001334_16.jpg",
"0001334_17.jpg",
"0001334_18.jpg",
"0001334_19.jpg",
"0001334_20.jpg",
"0001334_21.jpg",
"0001334_22.jpg",
"0001334_23.jpg"
] | Unlocking an Electronic Lock with Digital Handwritten Signature | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001334.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 \"Unlocking an Electronic Lock with Digital Handwritten Signature\",\nall the 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"
}
] |
0001809 | [
"0001809_00.jpg",
"0001809_01.jpg",
"0001809_02.jpg",
"0001809_03.jpg",
"0001809_04.jpg",
"0001809_05.jpg",
"0001809_06.jpg",
"0001809_07.jpg",
"0001809_08.jpg",
"0001809_09.jpg",
"0001809_10.jpg",
"0001809_11.jpg",
"0001809_12.jpg",
"0001809_13.jpg",
"0001809_14.jpg",
"0001809_15.jpg",
"0001809_16.jpg",
"0001809_17.jpg",
"0001809_18.jpg",
"0001809_19.jpg",
"0001809_20.jpg",
"0001809_21.jpg",
"0001809_22.jpg",
"0001809_23.jpg"
] | i am a women runner group instructor. make a Promotional Video for me. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001809.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 \"i am a women runner group instructor. make a Promotional Video for me.\",\nall the 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"
}
] |
2001572 | [
"2001572_00.jpg",
"2001572_01.jpg",
"2001572_02.jpg",
"2001572_03.jpg",
"2001572_04.jpg",
"2001572_05.jpg",
"2001572_06.jpg",
"2001572_07.jpg",
"2001572_08.jpg",
"2001572_09.jpg",
"2001572_10.jpg",
"2001572_11.jpg",
"2001572_12.jpg",
"2001572_13.jpg",
"2001572_14.jpg",
"2001572_15.jpg"
] | generate a scene featuring a slender, tall woman donned in a tattered gown, strolling through a dilapidated castle hallway with crumbling stone | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001572.mp4 | 3 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"generate a scene featuring a slender, tall woman donned in a tattered gown, strolling through a dilapidated castle hallway with crumbling stone\",\nall the frames of video are as 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"
}
] |
s000731 | [
"s000731_00.jpg",
"s000731_01.jpg",
"s000731_02.jpg",
"s000731_03.jpg",
"s000731_04.jpg",
"s000731_05.jpg",
"s000731_06.jpg",
"s000731_07.jpg",
"s000731_08.jpg",
"s000731_09.jpg",
"s000731_10.jpg",
"s000731_11.jpg",
"s000731_12.jpg",
"s000731_13.jpg",
"s000731_14.jpg",
"s000731_15.jpg",
"s000731_16.jpg",
"s000731_17.jpg",
"s000731_18.jpg",
"s000731_19.jpg"
] | sEA OF DATA WHERE CHARTS ARE THE SHIPS SALILING. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000731.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 \"sEA OF DATA WHERE CHARTS ARE THE SHIPS SALILING.\",\nall the 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"
}
] |
6000915 | [
"6000915_00.jpg",
"6000915_01.jpg",
"6000915_02.jpg",
"6000915_03.jpg",
"6000915_04.jpg",
"6000915_05.jpg",
"6000915_06.jpg",
"6000915_07.jpg",
"6000915_08.jpg",
"6000915_09.jpg",
"6000915_10.jpg",
"6000915_11.jpg",
"6000915_12.jpg",
"6000915_13.jpg",
"6000915_14.jpg",
"6000915_15.jpg"
] | a cat following a dog tha is running away | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000915.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 cat following a dog tha is running away\",\nall the frames of video are as 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"
}
] |
4001837 | [
"4001837_00.jpg",
"4001837_01.jpg",
"4001837_02.jpg",
"4001837_03.jpg",
"4001837_04.jpg",
"4001837_05.jpg",
"4001837_06.jpg",
"4001837_07.jpg",
"4001837_08.jpg",
"4001837_09.jpg",
"4001837_10.jpg",
"4001837_11.jpg",
"4001837_12.jpg",
"4001837_13.jpg",
"4001837_14.jpg",
"4001837_15.jpg"
] | gs 18 neg: poor quality, clipping, artifacts ar: 16:9 seed: 832 motion: 4 Opening shot of a majestic sunrise casting a warm glow over cobblestone streets. Establishing shots of intricate, weathered architecture and narrow alleys. Narrator introduces the Old City, its rich history, and the tales that lie within its walls | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001837.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 \"gs 18 neg: poor quality, clipping, artifacts ar: 16:9 seed: 832 motion: 4 Opening shot of a majestic sunrise casting a warm glow over cobblestone streets. Establishing shots of intricate, weathered architecture and narrow alleys. Narrator introduces the Old City, its rich history, and the tales that lie within its walls\",\nall the frames of video are as 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"
}
] |
2000828 | [
"2000828_00.jpg",
"2000828_01.jpg",
"2000828_02.jpg",
"2000828_03.jpg",
"2000828_04.jpg",
"2000828_05.jpg",
"2000828_06.jpg",
"2000828_07.jpg",
"2000828_08.jpg",
"2000828_09.jpg",
"2000828_10.jpg",
"2000828_11.jpg",
"2000828_12.jpg",
"2000828_13.jpg",
"2000828_14.jpg",
"2000828_15.jpg"
] | A tranquil tableau of an antique bowl | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000828.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 tranquil tableau of an antique bowl\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0005364 | [
"0005364_00.jpg",
"0005364_01.jpg",
"0005364_02.jpg",
"0005364_03.jpg",
"0005364_04.jpg",
"0005364_05.jpg",
"0005364_06.jpg",
"0005364_07.jpg",
"0005364_08.jpg",
"0005364_09.jpg",
"0005364_10.jpg",
"0005364_11.jpg",
"0005364_12.jpg",
"0005364_13.jpg",
"0005364_14.jpg",
"0005364_15.jpg",
"0005364_16.jpg",
"0005364_17.jpg",
"0005364_18.jpg",
"0005364_19.jpg",
"0005364_20.jpg",
"0005364_21.jpg",
"0005364_22.jpg",
"0005364_23.jpg"
] | anime fairy tail, fast tunnel animation | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005364.mp4 | 1 | 3 | 1 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"anime fairy tail, fast tunnel animation\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
3002588 | [
"3002588_00.jpg",
"3002588_01.jpg",
"3002588_02.jpg",
"3002588_03.jpg",
"3002588_04.jpg",
"3002588_05.jpg",
"3002588_06.jpg",
"3002588_07.jpg",
"3002588_08.jpg",
"3002588_09.jpg",
"3002588_10.jpg",
"3002588_11.jpg",
"3002588_12.jpg",
"3002588_13.jpg",
"3002588_14.jpg",
"3002588_15.jpg"
] | Once upon a time in the magical land of Whimsyville, there lived a curious little bunny named Fluff. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002588.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 \"Once upon a time in the magical land of Whimsyville, there lived a curious little bunny named Fluff.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
s000771 | [
"s000771_00.jpg",
"s000771_01.jpg",
"s000771_02.jpg",
"s000771_03.jpg",
"s000771_04.jpg",
"s000771_05.jpg",
"s000771_06.jpg",
"s000771_07.jpg",
"s000771_08.jpg",
"s000771_09.jpg",
"s000771_10.jpg",
"s000771_11.jpg",
"s000771_12.jpg",
"s000771_13.jpg",
"s000771_14.jpg",
"s000771_15.jpg",
"s000771_16.jpg",
"s000771_17.jpg",
"s000771_18.jpg",
"s000771_19.jpg"
] | Nicolas Cage pointing a glock 9mm at Donald Trump | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000771.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 \"Nicolas Cage pointing a glock 9mm at Donald Trump\",\nall the 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"
}
] |
s000082 | [
"s000082_00.jpg",
"s000082_01.jpg",
"s000082_02.jpg",
"s000082_03.jpg",
"s000082_04.jpg",
"s000082_05.jpg",
"s000082_06.jpg",
"s000082_07.jpg",
"s000082_08.jpg",
"s000082_09.jpg",
"s000082_10.jpg",
"s000082_11.jpg",
"s000082_12.jpg",
"s000082_13.jpg",
"s000082_14.jpg",
"s000082_15.jpg",
"s000082_16.jpg",
"s000082_17.jpg",
"s000082_18.jpg",
"s000082_19.jpg",
"s000082_20.jpg",
"s000082_21.jpg",
"s000082_22.jpg",
"s000082_23.jpg"
] | scene from 1920s silent film, black and white, a man stands on Gallows, in style of The Cabinet of Dr Caligari | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000082.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 \"scene from 1920s silent film, black and white, a man stands on Gallows, in style of The Cabinet of Dr Caligari\",\nall the 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"
}
] |
8000906 | [
"8000906_00.jpg",
"8000906_01.jpg",
"8000906_02.jpg",
"8000906_03.jpg",
"8000906_04.jpg",
"8000906_05.jpg",
"8000906_06.jpg",
"8000906_07.jpg",
"8000906_08.jpg",
"8000906_09.jpg",
"8000906_10.jpg",
"8000906_11.jpg",
"8000906_12.jpg",
"8000906_13.jpg",
"8000906_14.jpg",
"8000906_15.jpg",
"8000906_16.jpg",
"8000906_17.jpg",
"8000906_18.jpg",
"8000906_19.jpg",
"8000906_20.jpg",
"8000906_21.jpg",
"8000906_22.jpg",
"8000906_23.jpg"
] | talking a photo at the park | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000906.mp4 | 1 | 1 | 2 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"talking a photo at the park\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1002622 | [
"1002622_00.jpg",
"1002622_01.jpg",
"1002622_02.jpg",
"1002622_03.jpg",
"1002622_04.jpg",
"1002622_05.jpg",
"1002622_06.jpg",
"1002622_07.jpg",
"1002622_08.jpg",
"1002622_09.jpg",
"1002622_10.jpg",
"1002622_11.jpg",
"1002622_12.jpg",
"1002622_13.jpg",
"1002622_14.jpg",
"1002622_15.jpg"
] | The Moral Lesson: The story concludes with a moral lesson emphasizing the importance of harmony and cooperation among companions, highlighting the negative consequences of discord and conflict. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002622.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 Moral Lesson: The story concludes with a moral lesson emphasizing the importance of harmony and cooperation among companions, highlighting the negative consequences of discord and conflict.\",\nall the frames of video are as 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"
}
] |
0000294 | [
"0000294_00.jpg",
"0000294_01.jpg",
"0000294_02.jpg",
"0000294_03.jpg",
"0000294_04.jpg",
"0000294_05.jpg",
"0000294_06.jpg",
"0000294_07.jpg",
"0000294_08.jpg",
"0000294_09.jpg",
"0000294_10.jpg",
"0000294_11.jpg",
"0000294_12.jpg",
"0000294_13.jpg",
"0000294_14.jpg",
"0000294_15.jpg",
"0000294_16.jpg",
"0000294_17.jpg",
"0000294_18.jpg",
"0000294_19.jpg",
"0000294_20.jpg",
"0000294_21.jpg",
"0000294_22.jpg",
"0000294_23.jpg"
] | background moving from right to left, with scene changing from a grassland to a river then to a flower forest | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000294.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 \"background moving from right to left, with scene changing from a grassland to a river then to a flower forest\",\nall the 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"
}
] |
8002820 | [
"8002820_00.jpg",
"8002820_01.jpg",
"8002820_02.jpg",
"8002820_03.jpg",
"8002820_04.jpg",
"8002820_05.jpg",
"8002820_06.jpg",
"8002820_07.jpg",
"8002820_08.jpg",
"8002820_09.jpg",
"8002820_10.jpg",
"8002820_11.jpg",
"8002820_12.jpg",
"8002820_13.jpg",
"8002820_14.jpg",
"8002820_15.jpg",
"8002820_16.jpg",
"8002820_17.jpg",
"8002820_18.jpg",
"8002820_19.jpg",
"8002820_20.jpg",
"8002820_21.jpg",
"8002820_22.jpg",
"8002820_23.jpg"
] | a cute cartoonish unicorn just having a good time | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002820.mp4 | 2 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a cute cartoonish unicorn just having a good time\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2003044 | [
"2003044_00.jpg",
"2003044_01.jpg",
"2003044_02.jpg",
"2003044_03.jpg",
"2003044_04.jpg",
"2003044_05.jpg",
"2003044_06.jpg",
"2003044_07.jpg",
"2003044_08.jpg",
"2003044_09.jpg",
"2003044_10.jpg",
"2003044_11.jpg",
"2003044_12.jpg",
"2003044_13.jpg",
"2003044_14.jpg",
"2003044_15.jpg"
] | Upwork introduction video for Graphic design | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003044.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 \"Upwork introduction video for Graphic design\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2001271 | [
"2001271_00.jpg",
"2001271_01.jpg",
"2001271_02.jpg",
"2001271_03.jpg",
"2001271_04.jpg",
"2001271_05.jpg",
"2001271_06.jpg",
"2001271_07.jpg",
"2001271_08.jpg",
"2001271_09.jpg",
"2001271_10.jpg",
"2001271_11.jpg",
"2001271_12.jpg",
"2001271_13.jpg",
"2001271_14.jpg",
"2001271_15.jpg"
] | prison submerged in handcuffs and lemon juice and lemons | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001271.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 \"prison submerged in handcuffs and lemon juice and lemons\",\nall the frames of video are as 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"
}
] |
5001805 | [
"5001805_00.jpg",
"5001805_01.jpg",
"5001805_02.jpg",
"5001805_03.jpg",
"5001805_04.jpg",
"5001805_05.jpg",
"5001805_06.jpg",
"5001805_07.jpg",
"5001805_08.jpg",
"5001805_09.jpg",
"5001805_10.jpg",
"5001805_11.jpg",
"5001805_12.jpg",
"5001805_13.jpg",
"5001805_14.jpg",
"5001805_15.jpg"
] | a text that say samael from a little far | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001805.mp4 | 2 | 2 | 2 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a text that say samael from a little far\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
4004161 | [
"4004161_00.jpg",
"4004161_01.jpg",
"4004161_02.jpg",
"4004161_03.jpg",
"4004161_04.jpg",
"4004161_05.jpg",
"4004161_06.jpg",
"4004161_07.jpg",
"4004161_08.jpg",
"4004161_09.jpg",
"4004161_10.jpg",
"4004161_11.jpg",
"4004161_12.jpg",
"4004161_13.jpg",
"4004161_14.jpg",
"4004161_15.jpg"
] | Very cute little monk running around lively | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004161.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 \"Very cute little monk running around lively\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2001392 | [
"2001392_00.jpg",
"2001392_01.jpg",
"2001392_02.jpg",
"2001392_03.jpg",
"2001392_04.jpg",
"2001392_05.jpg",
"2001392_06.jpg",
"2001392_07.jpg",
"2001392_08.jpg",
"2001392_09.jpg",
"2001392_10.jpg",
"2001392_11.jpg",
"2001392_12.jpg",
"2001392_13.jpg",
"2001392_14.jpg",
"2001392_15.jpg"
] | black background Message: web3now (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001392.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 \"black background Message: web3now (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6001706 | [
"6001706_00.jpg",
"6001706_01.jpg",
"6001706_02.jpg",
"6001706_03.jpg",
"6001706_04.jpg",
"6001706_05.jpg",
"6001706_06.jpg",
"6001706_07.jpg",
"6001706_08.jpg",
"6001706_09.jpg",
"6001706_10.jpg",
"6001706_11.jpg",
"6001706_12.jpg",
"6001706_13.jpg",
"6001706_14.jpg",
"6001706_15.jpg"
] | 3 small rabbits playing in the back garden of the house, laughter, grass, toys, bicycle, late night | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001706.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 \"3 small rabbits playing in the back garden of the house, laughter, grass, toys, bicycle, late night\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
5001192 | [
"5001192_00.jpg",
"5001192_01.jpg",
"5001192_02.jpg",
"5001192_03.jpg",
"5001192_04.jpg",
"5001192_05.jpg",
"5001192_06.jpg",
"5001192_07.jpg",
"5001192_08.jpg",
"5001192_09.jpg",
"5001192_10.jpg",
"5001192_11.jpg",
"5001192_12.jpg",
"5001192_13.jpg",
"5001192_14.jpg",
"5001192_15.jpg"
] | sensational 3D animation of enchanting fairy tale creatures, resembling colorful sparkling starfish, gracefully waltzing underwater, mesmerizing visuals, Pixar Studio quality, reminiscent of classic Disney animation, magical atmosphere, vibrant colors, whimsical storytelling, high level of detail, breathtaking underwater scenery, surrealistic artistry, 4K resolution | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001192.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 \"sensational 3D animation of enchanting fairy tale creatures, resembling colorful sparkling starfish, gracefully waltzing underwater, mesmerizing visuals, Pixar Studio quality, reminiscent of classic Disney animation, magical atmosphere, vibrant colors, whimsical storytelling, high level of detail, breathtaking underwater scenery, surrealistic artistry, 4K resolution\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1000986 | [
"1000986_00.jpg",
"1000986_01.jpg",
"1000986_02.jpg",
"1000986_03.jpg",
"1000986_04.jpg",
"1000986_05.jpg",
"1000986_06.jpg",
"1000986_07.jpg",
"1000986_08.jpg",
"1000986_09.jpg",
"1000986_10.jpg",
"1000986_11.jpg",
"1000986_12.jpg",
"1000986_13.jpg",
"1000986_14.jpg",
"1000986_15.jpg"
] | a boy that holding an arrow in the field | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000986.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 boy that holding an arrow in the field\",\nall the frames of video are as 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"
}
] |
1002202 | [
"1002202_00.jpg",
"1002202_01.jpg",
"1002202_02.jpg",
"1002202_03.jpg",
"1002202_04.jpg",
"1002202_05.jpg",
"1002202_06.jpg",
"1002202_07.jpg",
"1002202_08.jpg",
"1002202_09.jpg",
"1002202_10.jpg",
"1002202_11.jpg",
"1002202_12.jpg",
"1002202_13.jpg",
"1002202_14.jpg",
"1002202_15.jpg"
] | uncontrolled animation, made with magazine clippings | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002202.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 \"uncontrolled animation, made with magazine clippings\",\nall the frames of video are as 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"
}
] |
7001578 | [
"7001578_00.jpg",
"7001578_01.jpg",
"7001578_02.jpg",
"7001578_03.jpg",
"7001578_04.jpg",
"7001578_05.jpg",
"7001578_06.jpg",
"7001578_07.jpg"
] | Ryan Gosling and the antagonist engage in a violent physical confrontation. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001578.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 \"Ryan Gosling and the antagonist engage in a violent physical confrontation.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
s000688 | [
"s000688_00.jpg",
"s000688_01.jpg",
"s000688_02.jpg",
"s000688_03.jpg",
"s000688_04.jpg",
"s000688_05.jpg",
"s000688_06.jpg",
"s000688_07.jpg",
"s000688_08.jpg",
"s000688_09.jpg",
"s000688_10.jpg",
"s000688_11.jpg",
"s000688_12.jpg",
"s000688_13.jpg",
"s000688_14.jpg",
"s000688_15.jpg",
"s000688_16.jpg",
"s000688_17.jpg",
"s000688_18.jpg",
"s000688_19.jpg",
"s000688_20.jpg",
"s000688_21.jpg",
"s000688_22.jpg",
"s000688_23.jpg"
] | a cartoon beautiful hign school girl runs on the street. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000688.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 cartoon beautiful hign school girl runs on the street.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n"
}
] |
s000809 | [
"s000809_00.jpg",
"s000809_01.jpg",
"s000809_02.jpg",
"s000809_03.jpg",
"s000809_04.jpg",
"s000809_05.jpg",
"s000809_06.jpg",
"s000809_07.jpg",
"s000809_08.jpg",
"s000809_09.jpg",
"s000809_10.jpg",
"s000809_11.jpg",
"s000809_12.jpg",
"s000809_13.jpg",
"s000809_14.jpg",
"s000809_15.jpg",
"s000809_16.jpg",
"s000809_17.jpg",
"s000809_18.jpg",
"s000809_19.jpg",
"s000809_20.jpg",
"s000809_21.jpg",
"s000809_22.jpg",
"s000809_23.jpg"
] | Dora the explorer flying around powerfully as her eye glowed with power and behind her she have all of the infinity stones rotating her in an circle manner | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000809.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 \"Dora the explorer flying around powerfully as her eye glowed with power and behind her she have all of the infinity stones rotating her in an circle manner\",\nall the 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"
}
] |
4003496 | [
"4003496_00.jpg",
"4003496_01.jpg",
"4003496_02.jpg",
"4003496_03.jpg",
"4003496_04.jpg",
"4003496_05.jpg",
"4003496_06.jpg",
"4003496_07.jpg",
"4003496_08.jpg",
"4003496_09.jpg",
"4003496_10.jpg",
"4003496_11.jpg",
"4003496_12.jpg",
"4003496_13.jpg",
"4003496_14.jpg",
"4003496_15.jpg"
] | man and woman kissing at city, night time, man holding flower, 4k resolution, add noise, iso 400, hyperclarity, sharpen, focus on human | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003496.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 \"man and woman kissing at city, night time, man holding flower, 4k resolution, add noise, iso 400, hyperclarity, sharpen, focus on human\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
7001725 | [
"7001725_00.jpg",
"7001725_01.jpg",
"7001725_02.jpg",
"7001725_03.jpg",
"7001725_04.jpg",
"7001725_05.jpg",
"7001725_06.jpg",
"7001725_07.jpg"
] | a woman wearing a green dress and a sun hat taking a pleasant stroll in Mumbai, India during a beautiful sunset. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001725.mp4 | 2 | 2 | 2 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a woman wearing a green dress and a sun hat taking a pleasant stroll in Mumbai, India during a beautiful sunset.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
9000456 | [
"9000456_00.jpg",
"9000456_01.jpg",
"9000456_02.jpg",
"9000456_03.jpg",
"9000456_04.jpg",
"9000456_05.jpg",
"9000456_06.jpg",
"9000456_07.jpg",
"9000456_08.jpg",
"9000456_09.jpg",
"9000456_10.jpg",
"9000456_11.jpg",
"9000456_12.jpg",
"9000456_13.jpg",
"9000456_14.jpg",
"9000456_15.jpg",
"9000456_16.jpg",
"9000456_17.jpg",
"9000456_18.jpg",
"9000456_19.jpg",
"9000456_20.jpg",
"9000456_21.jpg",
"9000456_22.jpg",
"9000456_23.jpg"
] | a car inspired by Paolo Martin | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000456.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 car inspired by Paolo Martin\",\nall the 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"
}
] |
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