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
|
---|---|---|---|---|---|---|---|---|---|
3002749 | [
"3002749_00.jpg",
"3002749_01.jpg",
"3002749_02.jpg",
"3002749_03.jpg",
"3002749_04.jpg",
"3002749_05.jpg",
"3002749_06.jpg",
"3002749_07.jpg",
"3002749_08.jpg",
"3002749_09.jpg",
"3002749_10.jpg",
"3002749_11.jpg",
"3002749_12.jpg",
"3002749_13.jpg",
"3002749_14.jpg",
"3002749_15.jpg"
] | walking with madmen, red head girl, realistic, 4k, canon photo, masterpiece,masterpiece,best quality, ultra realistic,32k,RAW photo,detailed skin, 8k uhd, high quality:1.2),fashion model, woman, beautiful ,like a selana gomez, wet dresses | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002749.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 \"walking with madmen, red head girl, realistic, 4k, canon photo, masterpiece,masterpiece,best quality, ultra realistic,32k,RAW photo,detailed skin, 8k uhd, high quality:1.2),fashion model, woman, beautiful ,like a selana gomez, wet dresses\",\nall the frames of video are as 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"
}
] |
7001346 | [
"7001346_00.jpg",
"7001346_01.jpg",
"7001346_02.jpg",
"7001346_03.jpg",
"7001346_04.jpg",
"7001346_05.jpg",
"7001346_06.jpg",
"7001346_07.jpg"
] | an ant, a caterpillar, and other insects are in one frame | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001346.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"an ant, a caterpillar, and other insects are in one frame\",\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"
}
] |
8000210 | [
"8000210_00.jpg",
"8000210_01.jpg",
"8000210_02.jpg",
"8000210_03.jpg",
"8000210_04.jpg",
"8000210_05.jpg",
"8000210_06.jpg",
"8000210_07.jpg",
"8000210_08.jpg",
"8000210_09.jpg",
"8000210_10.jpg",
"8000210_11.jpg",
"8000210_12.jpg",
"8000210_13.jpg",
"8000210_14.jpg",
"8000210_15.jpg",
"8000210_16.jpg",
"8000210_17.jpg",
"8000210_18.jpg",
"8000210_19.jpg",
"8000210_20.jpg",
"8000210_21.jpg",
"8000210_22.jpg",
"8000210_23.jpg"
] | mimai beach Purple waves at beach night time | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000210.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 \"mimai beach Purple waves at beach night time\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0001193 | [
"0001193_00.jpg",
"0001193_01.jpg",
"0001193_02.jpg",
"0001193_03.jpg",
"0001193_04.jpg",
"0001193_05.jpg",
"0001193_06.jpg",
"0001193_07.jpg",
"0001193_08.jpg",
"0001193_09.jpg",
"0001193_10.jpg",
"0001193_11.jpg",
"0001193_12.jpg",
"0001193_13.jpg",
"0001193_14.jpg",
"0001193_15.jpg",
"0001193_16.jpg",
"0001193_17.jpg",
"0001193_18.jpg",
"0001193_19.jpg",
"0001193_20.jpg",
"0001193_21.jpg",
"0001193_22.jpg",
"0001193_23.jpg"
] | Coolio talking at 25 years old | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001193.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 \"Coolio talking at 25 years old\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6001066 | [
"6001066_00.jpg",
"6001066_01.jpg",
"6001066_02.jpg",
"6001066_03.jpg",
"6001066_04.jpg",
"6001066_05.jpg",
"6001066_06.jpg",
"6001066_07.jpg",
"6001066_08.jpg",
"6001066_09.jpg",
"6001066_10.jpg",
"6001066_11.jpg",
"6001066_12.jpg",
"6001066_13.jpg",
"6001066_14.jpg",
"6001066_15.jpg"
] | gloomy evening, small houses, snowing under the moon | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001066.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"gloomy evening, small houses, snowing under the moon\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
6001667 | [
"6001667_00.jpg",
"6001667_01.jpg",
"6001667_02.jpg",
"6001667_03.jpg",
"6001667_04.jpg",
"6001667_05.jpg",
"6001667_06.jpg",
"6001667_07.jpg",
"6001667_08.jpg",
"6001667_09.jpg",
"6001667_10.jpg",
"6001667_11.jpg",
"6001667_12.jpg",
"6001667_13.jpg",
"6001667_14.jpg",
"6001667_15.jpg"
] | a cuban boy in havana malecon | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001667.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 cuban boy in havana malecon\",\nall the frames of video are as 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"
}
] |
5000725 | [
"5000725_00.jpg",
"5000725_01.jpg",
"5000725_02.jpg",
"5000725_03.jpg",
"5000725_04.jpg",
"5000725_05.jpg",
"5000725_06.jpg",
"5000725_07.jpg",
"5000725_08.jpg",
"5000725_09.jpg",
"5000725_10.jpg",
"5000725_11.jpg",
"5000725_12.jpg",
"5000725_13.jpg",
"5000725_14.jpg",
"5000725_15.jpg"
] | gothic young woman with long blue hair dancing | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000725.mp4 | 3 | 3 | 2 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"gothic young woman with long blue hair dancing\",\nall the frames of video are as 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: 2\n"
}
] |
1000919 | [
"1000919_00.jpg",
"1000919_01.jpg",
"1000919_02.jpg",
"1000919_03.jpg",
"1000919_04.jpg",
"1000919_05.jpg",
"1000919_06.jpg",
"1000919_07.jpg",
"1000919_08.jpg",
"1000919_09.jpg",
"1000919_10.jpg",
"1000919_11.jpg",
"1000919_12.jpg",
"1000919_13.jpg",
"1000919_14.jpg",
"1000919_15.jpg"
] | an attractive banshee woman rising out of ocean and screams as the water turns red, night time, HD, realistic, cinematic, motion | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000919.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"an attractive banshee woman rising out of ocean and screams as the water turns red, night time, HD, realistic, cinematic, motion\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
7002916 | [
"7002916_00.jpg",
"7002916_01.jpg",
"7002916_02.jpg",
"7002916_03.jpg",
"7002916_04.jpg",
"7002916_05.jpg",
"7002916_06.jpg",
"7002916_07.jpg"
] | A polished gold and metallic composition melds seamlessly to form a strikingly perfect male face, emanating an air of regal elegance and futuristic sophistication. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002916.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 polished gold and metallic composition melds seamlessly to form a strikingly perfect male face, emanating an air of regal elegance and futuristic sophistication.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3001126 | [
"3001126_00.jpg",
"3001126_01.jpg",
"3001126_02.jpg",
"3001126_03.jpg",
"3001126_04.jpg",
"3001126_05.jpg",
"3001126_06.jpg",
"3001126_07.jpg",
"3001126_08.jpg",
"3001126_09.jpg",
"3001126_10.jpg",
"3001126_11.jpg",
"3001126_12.jpg",
"3001126_13.jpg",
"3001126_14.jpg",
"3001126_15.jpg"
] | Two men walking towards each other an shake hands. One is Roman the other is Egyptian. Backdrop or a warzone. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001126.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 \"Two men walking towards each other an shake hands. One is Roman the other is Egyptian. Backdrop or a warzone.\",\nall the frames of video are as 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"
}
] |
4002227 | [
"4002227_00.jpg",
"4002227_01.jpg",
"4002227_02.jpg",
"4002227_03.jpg",
"4002227_04.jpg",
"4002227_05.jpg",
"4002227_06.jpg",
"4002227_07.jpg",
"4002227_08.jpg",
"4002227_09.jpg",
"4002227_10.jpg",
"4002227_11.jpg",
"4002227_12.jpg",
"4002227_13.jpg",
"4002227_14.jpg",
"4002227_15.jpg"
] | Monkey sat on the Elephant in River | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002227.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 \"Monkey sat on the Elephant in River\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
4004492 | [
"4004492_00.jpg",
"4004492_01.jpg",
"4004492_02.jpg",
"4004492_03.jpg",
"4004492_04.jpg",
"4004492_05.jpg",
"4004492_06.jpg",
"4004492_07.jpg",
"4004492_08.jpg",
"4004492_09.jpg",
"4004492_10.jpg",
"4004492_11.jpg",
"4004492_12.jpg",
"4004492_13.jpg",
"4004492_14.jpg",
"4004492_15.jpg"
] | share a muzzle made of slate dolomite in a puzzle of 28 yellow pieces | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004492.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 \"share a muzzle made of slate dolomite in a puzzle of 28 yellow pieces\",\nall the frames of video are as 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"
}
] |
4002809 | [
"4002809_00.jpg",
"4002809_01.jpg",
"4002809_02.jpg",
"4002809_03.jpg",
"4002809_04.jpg",
"4002809_05.jpg",
"4002809_06.jpg",
"4002809_07.jpg",
"4002809_08.jpg",
"4002809_09.jpg",
"4002809_10.jpg",
"4002809_11.jpg",
"4002809_12.jpg",
"4002809_13.jpg",
"4002809_14.jpg",
"4002809_15.jpg"
] | short video of fish in a pond | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002809.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 \"short video of fish in a pond\",\nall the frames of video are as 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"
}
] |
1001376 | [
"1001376_00.jpg",
"1001376_01.jpg",
"1001376_02.jpg",
"1001376_03.jpg",
"1001376_04.jpg",
"1001376_05.jpg",
"1001376_06.jpg",
"1001376_07.jpg",
"1001376_08.jpg",
"1001376_09.jpg",
"1001376_10.jpg",
"1001376_11.jpg",
"1001376_12.jpg",
"1001376_13.jpg",
"1001376_14.jpg",
"1001376_15.jpg"
] | Crashing waves in the Caribbean , Message : Happy Birthday , Font : (Modern) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001376.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 \"Crashing waves in the Caribbean , Message : Happy Birthday , Font : (Modern)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1005380 | [
"1005380_00.jpg",
"1005380_01.jpg",
"1005380_02.jpg",
"1005380_03.jpg",
"1005380_04.jpg",
"1005380_05.jpg",
"1005380_06.jpg",
"1005380_07.jpg",
"1005380_08.jpg",
"1005380_09.jpg",
"1005380_10.jpg",
"1005380_11.jpg",
"1005380_12.jpg",
"1005380_13.jpg",
"1005380_14.jpg",
"1005380_15.jpg"
] | cool gothic makeup boys and girls are serving some good food | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005380.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 \"cool gothic makeup boys and girls are serving some good food\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
5001467 | [
"5001467_00.jpg",
"5001467_01.jpg",
"5001467_02.jpg",
"5001467_03.jpg",
"5001467_04.jpg",
"5001467_05.jpg",
"5001467_06.jpg",
"5001467_07.jpg",
"5001467_08.jpg",
"5001467_09.jpg",
"5001467_10.jpg",
"5001467_11.jpg",
"5001467_12.jpg",
"5001467_13.jpg",
"5001467_14.jpg",
"5001467_15.jpg"
] | just add rain with little thunder | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001467.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 \"just add rain with little 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: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
s000611 | [
"s000611_00.jpg",
"s000611_01.jpg",
"s000611_02.jpg",
"s000611_03.jpg",
"s000611_04.jpg",
"s000611_05.jpg",
"s000611_06.jpg",
"s000611_07.jpg",
"s000611_08.jpg",
"s000611_09.jpg",
"s000611_10.jpg",
"s000611_11.jpg",
"s000611_12.jpg",
"s000611_13.jpg",
"s000611_14.jpg",
"s000611_15.jpg",
"s000611_16.jpg",
"s000611_17.jpg",
"s000611_18.jpg",
"s000611_19.jpg",
"s000611_20.jpg",
"s000611_21.jpg",
"s000611_22.jpg",
"s000611_23.jpg"
] | a cat stealing a banana from a rich monkey | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000611.mp4 | 4 | 4 | 2 | 0 | 4 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a cat stealing a banana from a rich monkey\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 4\n"
}
] |
0006911 | [
"0006911_00.jpg",
"0006911_01.jpg",
"0006911_02.jpg",
"0006911_03.jpg",
"0006911_04.jpg",
"0006911_05.jpg",
"0006911_06.jpg",
"0006911_07.jpg",
"0006911_08.jpg",
"0006911_09.jpg",
"0006911_10.jpg",
"0006911_11.jpg",
"0006911_12.jpg",
"0006911_13.jpg",
"0006911_14.jpg",
"0006911_15.jpg",
"0006911_16.jpg",
"0006911_17.jpg",
"0006911_18.jpg",
"0006911_19.jpg",
"0006911_20.jpg",
"0006911_21.jpg",
"0006911_22.jpg",
"0006911_23.jpg"
] | a boy in darkness of night at the forest | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006911.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 boy in darkness of night at the 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: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
2006602 | [
"2006602_00.jpg",
"2006602_01.jpg",
"2006602_02.jpg",
"2006602_03.jpg",
"2006602_04.jpg",
"2006602_05.jpg",
"2006602_06.jpg",
"2006602_07.jpg",
"2006602_08.jpg",
"2006602_09.jpg",
"2006602_10.jpg",
"2006602_11.jpg",
"2006602_12.jpg",
"2006602_13.jpg",
"2006602_14.jpg",
"2006602_15.jpg"
] | A drone view of celebration with Christmas tree and fireworks, starry sky - background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006602.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 drone view of celebration with Christmas tree and fireworks, starry sky - background\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0000182 | [
"0000182_00.jpg",
"0000182_01.jpg",
"0000182_02.jpg",
"0000182_03.jpg",
"0000182_04.jpg",
"0000182_05.jpg",
"0000182_06.jpg",
"0000182_07.jpg",
"0000182_08.jpg",
"0000182_09.jpg",
"0000182_10.jpg",
"0000182_11.jpg",
"0000182_12.jpg",
"0000182_13.jpg",
"0000182_14.jpg",
"0000182_15.jpg",
"0000182_16.jpg",
"0000182_17.jpg",
"0000182_18.jpg",
"0000182_19.jpg",
"0000182_20.jpg",
"0000182_21.jpg",
"0000182_22.jpg",
"0000182_23.jpg"
] | A crashed jet fall on a land | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000182.mp4 | 3 | 3 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A crashed jet fall on a land\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2001546 | [
"2001546_00.jpg",
"2001546_01.jpg",
"2001546_02.jpg",
"2001546_03.jpg",
"2001546_04.jpg",
"2001546_05.jpg",
"2001546_06.jpg",
"2001546_07.jpg",
"2001546_08.jpg",
"2001546_09.jpg",
"2001546_10.jpg",
"2001546_11.jpg",
"2001546_12.jpg",
"2001546_13.jpg",
"2001546_14.jpg",
"2001546_15.jpg"
] | A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. she wears a black leather jacket, a long red dress, and black boots, and carries a black purse. she wears sunglasses and red lipstick. she walks confidently and casually. the street is damp and reflective, creating a mirror effect of the colorful lights. many pedestrians walk about. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001546.mp4 | 2 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. she wears a black leather jacket, a long red dress, and black boots, and carries a black purse. she wears sunglasses and red lipstick. she walks confidently and casually. the street is damp and reflective, creating a mirror effect of the colorful lights. many pedestrians walk about.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6001369 | [
"6001369_00.jpg",
"6001369_01.jpg",
"6001369_02.jpg",
"6001369_03.jpg",
"6001369_04.jpg",
"6001369_05.jpg",
"6001369_06.jpg",
"6001369_07.jpg",
"6001369_08.jpg",
"6001369_09.jpg",
"6001369_10.jpg",
"6001369_11.jpg",
"6001369_12.jpg",
"6001369_13.jpg",
"6001369_14.jpg",
"6001369_15.jpg"
] | a team of UFO chasers moving fast in a van in the desert getting closer to a UFO | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001369.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 team of UFO chasers moving fast in a van in the desert getting closer to a UFO\",\nall the frames of video are as 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"
}
] |
4002184 | [
"4002184_00.jpg",
"4002184_01.jpg",
"4002184_02.jpg",
"4002184_03.jpg",
"4002184_04.jpg",
"4002184_05.jpg",
"4002184_06.jpg",
"4002184_07.jpg",
"4002184_08.jpg",
"4002184_09.jpg",
"4002184_10.jpg",
"4002184_11.jpg",
"4002184_12.jpg",
"4002184_13.jpg",
"4002184_14.jpg",
"4002184_15.jpg"
] | A rainbow appears, a butterfly flies. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002184.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 \"A rainbow appears, a butterfly flies.\",\nall the frames of video are as 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"
}
] |
0000361 | [
"0000361_00.jpg",
"0000361_01.jpg",
"0000361_02.jpg",
"0000361_03.jpg",
"0000361_04.jpg",
"0000361_05.jpg",
"0000361_06.jpg",
"0000361_07.jpg",
"0000361_08.jpg",
"0000361_09.jpg",
"0000361_10.jpg",
"0000361_11.jpg",
"0000361_12.jpg",
"0000361_13.jpg",
"0000361_14.jpg",
"0000361_15.jpg",
"0000361_16.jpg",
"0000361_17.jpg",
"0000361_18.jpg",
"0000361_19.jpg",
"0000361_20.jpg",
"0000361_21.jpg",
"0000361_22.jpg",
"0000361_23.jpg"
] | a old Man dressed like a soldier in the Forest. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000361.mp4 | 3 | 3 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a old Man dressed like a soldier in the 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: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3004733 | [
"3004733_00.jpg",
"3004733_01.jpg",
"3004733_02.jpg",
"3004733_03.jpg",
"3004733_04.jpg",
"3004733_05.jpg",
"3004733_06.jpg",
"3004733_07.jpg",
"3004733_08.jpg",
"3004733_09.jpg",
"3004733_10.jpg",
"3004733_11.jpg",
"3004733_12.jpg",
"3004733_13.jpg",
"3004733_14.jpg",
"3004733_15.jpg"
] | million people dancing in the big concert, fire, scene, pyramids, another planet | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004733.mp4 | 1 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"million people dancing in the big concert, fire, scene, pyramids, another planet\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2000029 | [
"2000029_00.jpg",
"2000029_01.jpg",
"2000029_02.jpg",
"2000029_03.jpg",
"2000029_04.jpg",
"2000029_05.jpg",
"2000029_06.jpg",
"2000029_07.jpg",
"2000029_08.jpg",
"2000029_09.jpg",
"2000029_10.jpg",
"2000029_11.jpg",
"2000029_12.jpg",
"2000029_13.jpg",
"2000029_14.jpg",
"2000029_15.jpg"
] | Loading Animated Gif for AI Chatbot | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000029.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 \"Loading Animated Gif for AI Chatbot\",\nall the frames of video are as 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"
}
] |
0001581 | [
"0001581_00.jpg",
"0001581_01.jpg",
"0001581_02.jpg",
"0001581_03.jpg",
"0001581_04.jpg",
"0001581_05.jpg",
"0001581_06.jpg",
"0001581_07.jpg",
"0001581_08.jpg",
"0001581_09.jpg",
"0001581_10.jpg",
"0001581_11.jpg",
"0001581_12.jpg",
"0001581_13.jpg",
"0001581_14.jpg",
"0001581_15.jpg",
"0001581_16.jpg",
"0001581_17.jpg",
"0001581_18.jpg",
"0001581_19.jpg",
"0001581_20.jpg",
"0001581_21.jpg",
"0001581_22.jpg",
"0001581_23.jpg"
] | Paul Trillo is a multi-disciplinary artist, writer, and director whose work has earned accolades from outlets like Rolling Stone and The New Yorker. Paul has garnered 19 Vimeo Staff Picks, an honor given to the best short films hosted on Vimeo. “Working with Sora is the first time I’ve felt unchained as a filmmaker,” he states. “Not restricted by time, money, other people’s permission, I can ideate and experiment in bold and exciting ways.” His experimental videos reflect this approach. “Sora is at its most powerful when you’re not replicating the old but bringing to life new and impossible ideas we would have otherwise never had the opportunity to see.” | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001581.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 \"Paul Trillo is a multi-disciplinary artist, writer, and director whose work has earned accolades from outlets like Rolling Stone and The New Yorker. Paul has garnered 19 Vimeo Staff Picks, an honor given to the best short films hosted on Vimeo. “Working with Sora is the first time I’ve felt unchained as a filmmaker,” he states. “Not restricted by time, money, other people’s permission, I can ideate and experiment in bold and exciting ways.” His experimental videos reflect this approach. “Sora is at its most powerful when you’re not replicating the old but bringing to life new and impossible ideas we would have otherwise never had the opportunity to see.”\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
6002782 | [
"6002782_00.jpg",
"6002782_01.jpg",
"6002782_02.jpg",
"6002782_03.jpg",
"6002782_04.jpg",
"6002782_05.jpg",
"6002782_06.jpg",
"6002782_07.jpg",
"6002782_08.jpg",
"6002782_09.jpg",
"6002782_10.jpg",
"6002782_11.jpg",
"6002782_12.jpg",
"6002782_13.jpg",
"6002782_14.jpg",
"6002782_15.jpg"
] | GOD WANTS TO IMPROVE YOU FOR LIFE | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002782.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 \"GOD WANTS TO IMPROVE YOU FOR LIFE\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0000206 | [
"0000206_00.jpg",
"0000206_01.jpg",
"0000206_02.jpg",
"0000206_03.jpg",
"0000206_04.jpg",
"0000206_05.jpg",
"0000206_06.jpg",
"0000206_07.jpg",
"0000206_08.jpg",
"0000206_09.jpg",
"0000206_10.jpg",
"0000206_11.jpg",
"0000206_12.jpg",
"0000206_13.jpg",
"0000206_14.jpg",
"0000206_15.jpg",
"0000206_16.jpg",
"0000206_17.jpg",
"0000206_18.jpg",
"0000206_19.jpg",
"0000206_20.jpg",
"0000206_21.jpg",
"0000206_22.jpg",
"0000206_23.jpg"
] | a man getting yelled at by people, staring at camera, 4k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000206.mp4 | 3 | 3 | 2 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a man getting yelled at by people, staring at camera, 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: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
1001831 | [
"1001831_00.jpg",
"1001831_01.jpg",
"1001831_02.jpg",
"1001831_03.jpg",
"1001831_04.jpg",
"1001831_05.jpg",
"1001831_06.jpg",
"1001831_07.jpg",
"1001831_08.jpg",
"1001831_09.jpg",
"1001831_10.jpg",
"1001831_11.jpg",
"1001831_12.jpg",
"1001831_13.jpg",
"1001831_14.jpg",
"1001831_15.jpg"
] | video ai bots taking over world | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001831.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"video ai bots taking over world\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
1002816 | [
"1002816_00.jpg",
"1002816_01.jpg",
"1002816_02.jpg",
"1002816_03.jpg",
"1002816_04.jpg",
"1002816_05.jpg",
"1002816_06.jpg",
"1002816_07.jpg",
"1002816_08.jpg",
"1002816_09.jpg",
"1002816_10.jpg",
"1002816_11.jpg",
"1002816_12.jpg",
"1002816_13.jpg",
"1002816_14.jpg",
"1002816_15.jpg"
] | sky full of stars, astrology, horoscope signs flowing in the air, zooming in, detailed, astrology appealing | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002816.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 \"sky full of stars, astrology, horoscope signs flowing in the air, zooming in, detailed, astrology appealing\",\nall the frames of video are as 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"
}
] |
3006784 | [
"3006784_00.jpg",
"3006784_01.jpg",
"3006784_02.jpg",
"3006784_03.jpg",
"3006784_04.jpg",
"3006784_05.jpg",
"3006784_06.jpg",
"3006784_07.jpg",
"3006784_08.jpg",
"3006784_09.jpg",
"3006784_10.jpg",
"3006784_11.jpg",
"3006784_12.jpg",
"3006784_13.jpg",
"3006784_14.jpg",
"3006784_15.jpg"
] | The Glenfinnan Viaduct is a historic railway bridge in Scotland, UK, that crosses over the west highland line between the towns of Mallaig and Fort William. It is a stunning sight as a steam train leaves the bridge, traveling over the arch-covered viaduct. The landscape is dotted with lush greenery and rocky mountains, creating a picturesque backdrop for the train journey. The sky is blue and the sun is shining, making for a beautiful day to explore this majestic spot. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006784.mp4 | 2 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The Glenfinnan Viaduct is a historic railway bridge in Scotland, UK, that crosses over the west highland line between the towns of Mallaig and Fort William. It is a stunning sight as a steam train leaves the bridge, traveling over the arch-covered viaduct. The landscape is dotted with lush greenery and rocky mountains, creating a picturesque backdrop for the train journey. The sky is blue and the sun is shining, making for a beautiful day to explore this majestic spot.\",\nall the frames of video are as 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"
}
] |
1000770 | [
"1000770_00.jpg",
"1000770_01.jpg",
"1000770_02.jpg",
"1000770_03.jpg",
"1000770_04.jpg",
"1000770_05.jpg",
"1000770_06.jpg",
"1000770_07.jpg",
"1000770_08.jpg",
"1000770_09.jpg",
"1000770_10.jpg",
"1000770_11.jpg",
"1000770_12.jpg",
"1000770_13.jpg",
"1000770_14.jpg",
"1000770_15.jpg"
] | a little cute girl stretches her arms, yawns, and flashes a big morning smile | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000770.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 little cute girl stretches her arms, yawns, and flashes a big morning smile\",\nall the frames of video are as 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"
}
] |
8000695 | [
"8000695_00.jpg",
"8000695_01.jpg",
"8000695_02.jpg",
"8000695_03.jpg",
"8000695_04.jpg",
"8000695_05.jpg",
"8000695_06.jpg",
"8000695_07.jpg",
"8000695_08.jpg",
"8000695_09.jpg",
"8000695_10.jpg",
"8000695_11.jpg",
"8000695_12.jpg",
"8000695_13.jpg",
"8000695_14.jpg",
"8000695_15.jpg",
"8000695_16.jpg",
"8000695_17.jpg",
"8000695_18.jpg",
"8000695_19.jpg",
"8000695_20.jpg",
"8000695_21.jpg",
"8000695_22.jpg",
"8000695_23.jpg"
] | wealthy man looking at a distant explosion | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000695.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 \"wealthy man looking at a distant explosion\",\nall the 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"
}
] |
1005323 | [
"1005323_00.jpg",
"1005323_01.jpg",
"1005323_02.jpg",
"1005323_03.jpg",
"1005323_04.jpg",
"1005323_05.jpg",
"1005323_06.jpg",
"1005323_07.jpg",
"1005323_08.jpg",
"1005323_09.jpg",
"1005323_10.jpg",
"1005323_11.jpg",
"1005323_12.jpg",
"1005323_13.jpg",
"1005323_14.jpg",
"1005323_15.jpg"
] | Naina and her friends arrive at an enchanted place and see a beautiful fairy. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005323.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 \"Naina and her friends arrive at an enchanted place and see a beautiful fairy.\",\nall the frames of video are as 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"
}
] |
2001507 | [
"2001507_00.jpg",
"2001507_01.jpg",
"2001507_02.jpg",
"2001507_03.jpg",
"2001507_04.jpg",
"2001507_05.jpg",
"2001507_06.jpg",
"2001507_07.jpg",
"2001507_08.jpg",
"2001507_09.jpg",
"2001507_10.jpg",
"2001507_11.jpg",
"2001507_12.jpg",
"2001507_13.jpg",
"2001507_14.jpg",
"2001507_15.jpg"
] | Giant army of orcs with empty flags in futuristic armor against the background of a giant Russian city, winter, cyberpunk | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001507.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 \"Giant army of orcs with empty flags in futuristic armor against the background of a giant Russian city, winter, cyberpunk\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0004536 | [
"0004536_00.jpg",
"0004536_01.jpg",
"0004536_02.jpg",
"0004536_03.jpg",
"0004536_04.jpg",
"0004536_05.jpg",
"0004536_06.jpg",
"0004536_07.jpg",
"0004536_08.jpg",
"0004536_09.jpg",
"0004536_10.jpg",
"0004536_11.jpg",
"0004536_12.jpg",
"0004536_13.jpg",
"0004536_14.jpg",
"0004536_15.jpg",
"0004536_16.jpg",
"0004536_17.jpg",
"0004536_18.jpg",
"0004536_19.jpg",
"0004536_20.jpg",
"0004536_21.jpg",
"0004536_22.jpg",
"0004536_23.jpg"
] | a surfboard on the top of skis, front view | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004536.mp4 | 2 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a surfboard on the top of skis, front view\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
8001115 | [
"8001115_00.jpg",
"8001115_01.jpg",
"8001115_02.jpg",
"8001115_03.jpg",
"8001115_04.jpg",
"8001115_05.jpg",
"8001115_06.jpg",
"8001115_07.jpg",
"8001115_08.jpg",
"8001115_09.jpg",
"8001115_10.jpg",
"8001115_11.jpg",
"8001115_12.jpg",
"8001115_13.jpg",
"8001115_14.jpg",
"8001115_15.jpg",
"8001115_16.jpg",
"8001115_17.jpg",
"8001115_18.jpg",
"8001115_19.jpg",
"8001115_20.jpg",
"8001115_21.jpg",
"8001115_22.jpg",
"8001115_23.jpg"
] | woman on the floor of a city apartment weepin city in the background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001115.mp4 | 2 | 3 | 2 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"woman on the floor of a city apartment weepin city 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: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1001651 | [
"1001651_00.jpg",
"1001651_01.jpg",
"1001651_02.jpg",
"1001651_03.jpg",
"1001651_04.jpg",
"1001651_05.jpg",
"1001651_06.jpg",
"1001651_07.jpg",
"1001651_08.jpg",
"1001651_09.jpg",
"1001651_10.jpg",
"1001651_11.jpg",
"1001651_12.jpg",
"1001651_13.jpg",
"1001651_14.jpg",
"1001651_15.jpg"
] | a cute cartoonish unicorn just having a good time | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001651.mp4 | 1 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a 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> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0005563 | [
"0005563_00.jpg",
"0005563_01.jpg",
"0005563_02.jpg",
"0005563_03.jpg",
"0005563_04.jpg",
"0005563_05.jpg",
"0005563_06.jpg",
"0005563_07.jpg",
"0005563_08.jpg",
"0005563_09.jpg",
"0005563_10.jpg",
"0005563_11.jpg",
"0005563_12.jpg",
"0005563_13.jpg",
"0005563_14.jpg",
"0005563_15.jpg",
"0005563_16.jpg",
"0005563_17.jpg",
"0005563_18.jpg",
"0005563_19.jpg",
"0005563_20.jpg",
"0005563_21.jpg",
"0005563_22.jpg",
"0005563_23.jpg"
] | tom cat riding a bicycle at the bottom of the sea | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005563.mp4 | 3 | 3 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"tom cat riding a bicycle at the bottom of the sea\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
9000686 | [
"9000686_00.jpg",
"9000686_01.jpg",
"9000686_02.jpg",
"9000686_03.jpg",
"9000686_04.jpg",
"9000686_05.jpg",
"9000686_06.jpg",
"9000686_07.jpg",
"9000686_08.jpg",
"9000686_09.jpg",
"9000686_10.jpg",
"9000686_11.jpg",
"9000686_12.jpg",
"9000686_13.jpg",
"9000686_14.jpg",
"9000686_15.jpg",
"9000686_16.jpg",
"9000686_17.jpg",
"9000686_18.jpg",
"9000686_19.jpg",
"9000686_20.jpg",
"9000686_21.jpg",
"9000686_22.jpg",
"9000686_23.jpg"
] | Family of smartphones that live like humans | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000686.mp4 | 3 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Family of smartphones that live like humans\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3004992 | [
"3004992_00.jpg",
"3004992_01.jpg",
"3004992_02.jpg",
"3004992_03.jpg",
"3004992_04.jpg",
"3004992_05.jpg",
"3004992_06.jpg",
"3004992_07.jpg",
"3004992_08.jpg",
"3004992_09.jpg",
"3004992_10.jpg",
"3004992_11.jpg",
"3004992_12.jpg",
"3004992_13.jpg",
"3004992_14.jpg",
"3004992_15.jpg"
] | Several small animals playing with a ball in cartoon style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004992.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 \"Several small animals playing with a ball in cartoon style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
9000488 | [
"9000488_00.jpg",
"9000488_01.jpg",
"9000488_02.jpg",
"9000488_03.jpg",
"9000488_04.jpg",
"9000488_05.jpg",
"9000488_06.jpg",
"9000488_07.jpg",
"9000488_08.jpg",
"9000488_09.jpg",
"9000488_10.jpg",
"9000488_11.jpg",
"9000488_12.jpg",
"9000488_13.jpg",
"9000488_14.jpg",
"9000488_15.jpg",
"9000488_16.jpg",
"9000488_17.jpg",
"9000488_18.jpg",
"9000488_19.jpg",
"9000488_20.jpg",
"9000488_21.jpg",
"9000488_22.jpg",
"9000488_23.jpg"
] | a samurai dancing to electronic music in a crowded nightclub | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000488.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a samurai dancing to electronic music in a crowded nightclub\",\nall the 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"
}
] |
7001868 | [
"7001868_00.jpg",
"7001868_01.jpg",
"7001868_02.jpg",
"7001868_03.jpg",
"7001868_04.jpg",
"7001868_05.jpg",
"7001868_06.jpg",
"7001868_07.jpg"
] | The ship heads into space, with the obsessed astronaut, talking to the letter as if she were his beloved, believing that she is waiting for him there. in little dolls with flat colors | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001868.mp4 | 3 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The ship heads into space, with the obsessed astronaut, talking to the letter as if she were his beloved, believing that she is waiting for him there. in little dolls with flat colors\",\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"
}
] |
7003249 | [
"7003249_00.jpg",
"7003249_01.jpg",
"7003249_02.jpg",
"7003249_03.jpg",
"7003249_04.jpg",
"7003249_05.jpg",
"7003249_06.jpg",
"7003249_07.jpg"
] | South Africa beating France in the 2023 Rugby World Cup quater finals | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003249.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 \"South Africa beating France in the 2023 Rugby World Cup quater finals\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
4001965 | [
"4001965_00.jpg",
"4001965_01.jpg",
"4001965_02.jpg",
"4001965_03.jpg",
"4001965_04.jpg",
"4001965_05.jpg",
"4001965_06.jpg",
"4001965_07.jpg",
"4001965_08.jpg",
"4001965_09.jpg",
"4001965_10.jpg",
"4001965_11.jpg",
"4001965_12.jpg",
"4001965_13.jpg",
"4001965_14.jpg",
"4001965_15.jpg"
] | office desk with coffee on the table and window view of rain fall with lush greenry in the background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001965.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 \"office desk with coffee on the table and window view of rain fall with lush greenry 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> "
},
{
"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"
}
] |
6004842 | [
"6004842_00.jpg",
"6004842_01.jpg",
"6004842_02.jpg",
"6004842_03.jpg",
"6004842_04.jpg",
"6004842_05.jpg",
"6004842_06.jpg",
"6004842_07.jpg",
"6004842_08.jpg",
"6004842_09.jpg",
"6004842_10.jpg",
"6004842_11.jpg",
"6004842_12.jpg",
"6004842_13.jpg",
"6004842_14.jpg",
"6004842_15.jpg"
] | woman in front of the mirror in white bathroom, facecare rutine, with eye patches | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004842.mp4 | 1 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"woman in front of the mirror in white bathroom, facecare rutine, with eye patches\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
4001805 | [
"4001805_00.jpg",
"4001805_01.jpg",
"4001805_02.jpg",
"4001805_03.jpg",
"4001805_04.jpg",
"4001805_05.jpg",
"4001805_06.jpg",
"4001805_07.jpg",
"4001805_08.jpg",
"4001805_09.jpg",
"4001805_10.jpg",
"4001805_11.jpg",
"4001805_12.jpg",
"4001805_13.jpg",
"4001805_14.jpg",
"4001805_15.jpg"
] | 2 men fighting, realistic with camera movements | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001805.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 \"2 men fighting, realistic with camera movements\",\nall the frames of video are as 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"
}
] |
6003487 | [
"6003487_00.jpg",
"6003487_01.jpg",
"6003487_02.jpg",
"6003487_03.jpg",
"6003487_04.jpg",
"6003487_05.jpg",
"6003487_06.jpg",
"6003487_07.jpg",
"6003487_08.jpg",
"6003487_09.jpg",
"6003487_10.jpg",
"6003487_11.jpg",
"6003487_12.jpg",
"6003487_13.jpg",
"6003487_14.jpg",
"6003487_15.jpg"
] | make a anime opening
Called traveling accross the time
Character origin
Character powers : magic, telepathy
He is a simple boy
5 sec | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003487.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"make a anime opening\n\nCalled traveling accross the time\n\nCharacter origin\nCharacter powers : magic, telepathy\n\nHe is a simple boy\n\n5 sec\",\nall the frames of video are as 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"
}
] |
0002172 | [
"0002172_00.jpg",
"0002172_01.jpg",
"0002172_02.jpg",
"0002172_03.jpg",
"0002172_04.jpg",
"0002172_05.jpg",
"0002172_06.jpg",
"0002172_07.jpg",
"0002172_08.jpg",
"0002172_09.jpg",
"0002172_10.jpg",
"0002172_11.jpg",
"0002172_12.jpg",
"0002172_13.jpg",
"0002172_14.jpg",
"0002172_15.jpg",
"0002172_16.jpg",
"0002172_17.jpg",
"0002172_18.jpg",
"0002172_19.jpg",
"0002172_20.jpg",
"0002172_21.jpg",
"0002172_22.jpg",
"0002172_23.jpg"
] | a boy touch chast and close eye on smile | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002172.mp4 | 3 | 3 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a boy touch chast and close eye on smile\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0006332 | [
"0006332_00.jpg",
"0006332_01.jpg",
"0006332_02.jpg",
"0006332_03.jpg",
"0006332_04.jpg",
"0006332_05.jpg",
"0006332_06.jpg",
"0006332_07.jpg",
"0006332_08.jpg",
"0006332_09.jpg",
"0006332_10.jpg",
"0006332_11.jpg",
"0006332_12.jpg",
"0006332_13.jpg",
"0006332_14.jpg",
"0006332_15.jpg",
"0006332_16.jpg",
"0006332_17.jpg",
"0006332_18.jpg",
"0006332_19.jpg",
"0006332_20.jpg",
"0006332_21.jpg",
"0006332_22.jpg",
"0006332_23.jpg"
] | blonde girl parading in a bikini with a very sexy body on a beach | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006332.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 \"blonde girl parading in a bikini with a very sexy body on a beach\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
2000334 | [
"2000334_00.jpg",
"2000334_01.jpg",
"2000334_02.jpg",
"2000334_03.jpg",
"2000334_04.jpg",
"2000334_05.jpg",
"2000334_06.jpg",
"2000334_07.jpg",
"2000334_08.jpg",
"2000334_09.jpg",
"2000334_10.jpg",
"2000334_11.jpg",
"2000334_12.jpg",
"2000334_13.jpg",
"2000334_14.jpg",
"2000334_15.jpg"
] | little boy and girl growing up walking over time | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000334.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 \"little boy and girl growing up walking over 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: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0001960 | [
"0001960_00.jpg",
"0001960_01.jpg",
"0001960_02.jpg",
"0001960_03.jpg",
"0001960_04.jpg",
"0001960_05.jpg",
"0001960_06.jpg",
"0001960_07.jpg",
"0001960_08.jpg",
"0001960_09.jpg",
"0001960_10.jpg",
"0001960_11.jpg",
"0001960_12.jpg",
"0001960_13.jpg",
"0001960_14.jpg",
"0001960_15.jpg",
"0001960_16.jpg",
"0001960_17.jpg",
"0001960_18.jpg",
"0001960_19.jpg",
"0001960_20.jpg",
"0001960_21.jpg",
"0001960_22.jpg",
"0001960_23.jpg"
] | Peter Griffin character in family guy series married with Marge Simpson | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001960.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 \"Peter Griffin character in family guy series married with Marge Simpson\",\nall the 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"
}
] |
2002199 | [
"2002199_00.jpg",
"2002199_01.jpg",
"2002199_02.jpg",
"2002199_03.jpg",
"2002199_04.jpg",
"2002199_05.jpg",
"2002199_06.jpg",
"2002199_07.jpg",
"2002199_08.jpg",
"2002199_09.jpg",
"2002199_10.jpg",
"2002199_11.jpg",
"2002199_12.jpg",
"2002199_13.jpg",
"2002199_14.jpg",
"2002199_15.jpg"
] | draw a picture of a koala climbing a tree | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002199.mp4 | 3 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"draw a picture of a koala climbing a tree\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0005499 | [
"0005499_00.jpg",
"0005499_01.jpg",
"0005499_02.jpg",
"0005499_03.jpg",
"0005499_04.jpg",
"0005499_05.jpg",
"0005499_06.jpg",
"0005499_07.jpg",
"0005499_08.jpg",
"0005499_09.jpg",
"0005499_10.jpg",
"0005499_11.jpg",
"0005499_12.jpg",
"0005499_13.jpg",
"0005499_14.jpg",
"0005499_15.jpg",
"0005499_16.jpg",
"0005499_17.jpg",
"0005499_18.jpg",
"0005499_19.jpg",
"0005499_20.jpg",
"0005499_21.jpg",
"0005499_22.jpg",
"0005499_23.jpg"
] | elite dangerous odyssey , starship going into hyperspace jump, Cyberpunk coloured, 8k, photorealistic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005499.mp4 | 3 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"elite dangerous odyssey , starship going into hyperspace jump, Cyberpunk coloured, 8k, photorealistic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
8003982 | [
"8003982_00.jpg",
"8003982_01.jpg",
"8003982_02.jpg",
"8003982_03.jpg",
"8003982_04.jpg",
"8003982_05.jpg",
"8003982_06.jpg",
"8003982_07.jpg",
"8003982_08.jpg",
"8003982_09.jpg",
"8003982_10.jpg",
"8003982_11.jpg",
"8003982_12.jpg",
"8003982_13.jpg",
"8003982_14.jpg",
"8003982_15.jpg",
"8003982_16.jpg",
"8003982_17.jpg",
"8003982_18.jpg",
"8003982_19.jpg",
"8003982_20.jpg",
"8003982_21.jpg",
"8003982_22.jpg",
"8003982_23.jpg"
] | Drink some red tea mushrooms with a light meal | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003982.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 \"Drink some red tea mushrooms with a light meal\",\nall the 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"
}
] |
6003952 | [
"6003952_00.jpg",
"6003952_01.jpg",
"6003952_02.jpg",
"6003952_03.jpg",
"6003952_04.jpg",
"6003952_05.jpg",
"6003952_06.jpg",
"6003952_07.jpg",
"6003952_08.jpg",
"6003952_09.jpg",
"6003952_10.jpg",
"6003952_11.jpg",
"6003952_12.jpg",
"6003952_13.jpg",
"6003952_14.jpg",
"6003952_15.jpg"
] | a professional video in 3D animation with 4K resolution, about visual poetry | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003952.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 professional video in 3D animation with 4K resolution, about visual poetry\",\nall the frames of video are as 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"
}
] |
1001169 | [
"1001169_00.jpg",
"1001169_01.jpg",
"1001169_02.jpg",
"1001169_03.jpg",
"1001169_04.jpg",
"1001169_05.jpg",
"1001169_06.jpg",
"1001169_07.jpg",
"1001169_08.jpg",
"1001169_09.jpg",
"1001169_10.jpg",
"1001169_11.jpg",
"1001169_12.jpg",
"1001169_13.jpg",
"1001169_14.jpg",
"1001169_15.jpg"
] | brain in a psychedelic garden expanding | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001169.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 \"brain in a psychedelic garden expanding\",\nall the frames of video are as 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"
}
] |
2000751 | [
"2000751_00.jpg",
"2000751_01.jpg",
"2000751_02.jpg",
"2000751_03.jpg",
"2000751_04.jpg",
"2000751_05.jpg",
"2000751_06.jpg",
"2000751_07.jpg",
"2000751_08.jpg",
"2000751_09.jpg",
"2000751_10.jpg",
"2000751_11.jpg",
"2000751_12.jpg",
"2000751_13.jpg",
"2000751_14.jpg",
"2000751_15.jpg"
] | A group of young people asian gathered in an office to chat | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000751.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 group of young people asian gathered in an office to chat\",\nall the frames of video are as 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"
}
] |
6002983 | [
"6002983_00.jpg",
"6002983_01.jpg",
"6002983_02.jpg",
"6002983_03.jpg",
"6002983_04.jpg",
"6002983_05.jpg",
"6002983_06.jpg",
"6002983_07.jpg",
"6002983_08.jpg",
"6002983_09.jpg",
"6002983_10.jpg",
"6002983_11.jpg",
"6002983_12.jpg",
"6002983_13.jpg",
"6002983_14.jpg",
"6002983_15.jpg"
] | Cinematic shot of John Wick fighting with 2 men in an elevator | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002983.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Cinematic shot of John Wick fighting with 2 men in an elevator\",\nall the frames of video are as 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"
}
] |
7002677 | [
"7002677_00.jpg",
"7002677_01.jpg",
"7002677_02.jpg",
"7002677_03.jpg",
"7002677_04.jpg",
"7002677_05.jpg",
"7002677_06.jpg",
"7002677_07.jpg"
] | vintage garden party flyer, typographic masterpiece, best artistic fine work, best illustration work, award winning flyer, best vintage flyer, stunning illustration, secret garden scene, garden art, fine artistic design, best color set, typographic details, Mucha style, sharp phocus, portrait form factor | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002677.mp4 | 2 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"vintage garden party flyer, typographic masterpiece, best artistic fine work, best illustration work, award winning flyer, best vintage flyer, stunning illustration, secret garden scene, garden art, fine artistic design, best color set, typographic details, Mucha style, sharp phocus, portrait form factor\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0005575 | [
"0005575_00.jpg",
"0005575_01.jpg",
"0005575_02.jpg",
"0005575_03.jpg",
"0005575_04.jpg",
"0005575_05.jpg",
"0005575_06.jpg",
"0005575_07.jpg",
"0005575_08.jpg",
"0005575_09.jpg",
"0005575_10.jpg",
"0005575_11.jpg",
"0005575_12.jpg",
"0005575_13.jpg",
"0005575_14.jpg",
"0005575_15.jpg",
"0005575_16.jpg",
"0005575_17.jpg",
"0005575_18.jpg",
"0005575_19.jpg",
"0005575_20.jpg",
"0005575_21.jpg",
"0005575_22.jpg",
"0005575_23.jpg"
] | I want footage of bee activity | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005575.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 \"I want footage of bee activity\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
5000918 | [
"5000918_00.jpg",
"5000918_01.jpg",
"5000918_02.jpg",
"5000918_03.jpg",
"5000918_04.jpg",
"5000918_05.jpg",
"5000918_06.jpg",
"5000918_07.jpg",
"5000918_08.jpg",
"5000918_09.jpg",
"5000918_10.jpg",
"5000918_11.jpg",
"5000918_12.jpg",
"5000918_13.jpg",
"5000918_14.jpg",
"5000918_15.jpg"
] | Manbearpig in south park in the forest dancing around while playing the guitar | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000918.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 \"Manbearpig in south park in the forest dancing around while playing the guitar\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
9000163 | [
"9000163_00.jpg",
"9000163_01.jpg",
"9000163_02.jpg",
"9000163_03.jpg",
"9000163_04.jpg",
"9000163_05.jpg",
"9000163_06.jpg",
"9000163_07.jpg",
"9000163_08.jpg",
"9000163_09.jpg",
"9000163_10.jpg",
"9000163_11.jpg",
"9000163_12.jpg",
"9000163_13.jpg",
"9000163_14.jpg",
"9000163_15.jpg",
"9000163_16.jpg",
"9000163_17.jpg",
"9000163_18.jpg",
"9000163_19.jpg",
"9000163_20.jpg",
"9000163_21.jpg",
"9000163_22.jpg",
"9000163_23.jpg"
] | a woman surrounded by flying helichrysum flowers, time lapse | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000163.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 surrounded by flying helichrysum flowers, time lapse\",\nall the 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"
}
] |
3005058 | [
"3005058_00.jpg",
"3005058_01.jpg",
"3005058_02.jpg",
"3005058_03.jpg",
"3005058_04.jpg",
"3005058_05.jpg",
"3005058_06.jpg",
"3005058_07.jpg",
"3005058_08.jpg",
"3005058_09.jpg",
"3005058_10.jpg",
"3005058_11.jpg",
"3005058_12.jpg",
"3005058_13.jpg",
"3005058_14.jpg",
"3005058_15.jpg"
] | Psyduck runs alongside Bulbasaur and Squirtle, Ghibli art style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005058.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 \"Psyduck runs alongside Bulbasaur and Squirtle, Ghibli art style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1006188 | [
"1006188_00.jpg",
"1006188_01.jpg",
"1006188_02.jpg",
"1006188_03.jpg",
"1006188_04.jpg",
"1006188_05.jpg",
"1006188_06.jpg",
"1006188_07.jpg",
"1006188_08.jpg",
"1006188_09.jpg",
"1006188_10.jpg",
"1006188_11.jpg",
"1006188_12.jpg",
"1006188_13.jpg",
"1006188_14.jpg",
"1006188_15.jpg"
] | PROFESSIONAL full body photo featuring a 30 years old man (with thin hairline) standing and facing camera. He is standing still in the center of a bustling street and appears as a still point in a sea of motion blur caused by the slow shutter speed. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006188.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 \"PROFESSIONAL full body photo featuring a 30 years old man (with thin hairline) standing and facing camera. He is standing still in the center of a bustling street and appears as a still point in a sea of motion blur caused by the slow shutter speed.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
7002162 | [
"7002162_00.jpg",
"7002162_01.jpg",
"7002162_02.jpg",
"7002162_03.jpg",
"7002162_04.jpg",
"7002162_05.jpg",
"7002162_06.jpg",
"7002162_07.jpg"
] | meadow with a running woman, realist style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7002162.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 \"meadow with a running woman, realist style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
0004085 | [
"0004085_00.jpg",
"0004085_01.jpg",
"0004085_02.jpg",
"0004085_03.jpg",
"0004085_04.jpg",
"0004085_05.jpg",
"0004085_06.jpg",
"0004085_07.jpg",
"0004085_08.jpg",
"0004085_09.jpg",
"0004085_10.jpg",
"0004085_11.jpg",
"0004085_12.jpg",
"0004085_13.jpg",
"0004085_14.jpg",
"0004085_15.jpg",
"0004085_16.jpg",
"0004085_17.jpg",
"0004085_18.jpg",
"0004085_19.jpg",
"0004085_20.jpg",
"0004085_21.jpg",
"0004085_22.jpg",
"0004085_23.jpg"
] | A car make robot like a building size
. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004085.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 car make robot like a building size\n.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0002464 | [
"0002464_00.jpg",
"0002464_01.jpg",
"0002464_02.jpg",
"0002464_03.jpg",
"0002464_04.jpg",
"0002464_05.jpg",
"0002464_06.jpg",
"0002464_07.jpg",
"0002464_08.jpg",
"0002464_09.jpg",
"0002464_10.jpg",
"0002464_11.jpg",
"0002464_12.jpg",
"0002464_13.jpg",
"0002464_14.jpg",
"0002464_15.jpg",
"0002464_16.jpg",
"0002464_17.jpg",
"0002464_18.jpg",
"0002464_19.jpg",
"0002464_20.jpg",
"0002464_21.jpg",
"0002464_22.jpg",
"0002464_23.jpg"
] | (Valera the worm crawls through the ground and gets to the surface. He sees Margot the Bug, who jumps with light jumps.) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002464.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 \"(Valera the worm crawls through the ground and gets to the surface. He sees Margot the Bug, who jumps with light jumps.)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3002778 | [
"3002778_00.jpg",
"3002778_01.jpg",
"3002778_02.jpg",
"3002778_03.jpg",
"3002778_04.jpg",
"3002778_05.jpg",
"3002778_06.jpg",
"3002778_07.jpg",
"3002778_08.jpg",
"3002778_09.jpg",
"3002778_10.jpg",
"3002778_11.jpg",
"3002778_12.jpg",
"3002778_13.jpg",
"3002778_14.jpg",
"3002778_15.jpg"
] | quarrel between man and woman in the room | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002778.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 \"quarrel between man and woman 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: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0000364 | [
"0000364_00.jpg",
"0000364_01.jpg",
"0000364_02.jpg",
"0000364_03.jpg",
"0000364_04.jpg",
"0000364_05.jpg",
"0000364_06.jpg",
"0000364_07.jpg",
"0000364_08.jpg",
"0000364_09.jpg",
"0000364_10.jpg",
"0000364_11.jpg",
"0000364_12.jpg",
"0000364_13.jpg",
"0000364_14.jpg",
"0000364_15.jpg",
"0000364_16.jpg",
"0000364_17.jpg",
"0000364_18.jpg",
"0000364_19.jpg",
"0000364_20.jpg",
"0000364_21.jpg",
"0000364_22.jpg",
"0000364_23.jpg"
] | a man and a woman in their 20s are dining in a futuristic restaurant materialized out of nanotech and ferrofluids | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000364.mp4 | 3 | 2 | 2 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a man and a woman in their 20s are dining in a futuristic restaurant materialized out of nanotech and ferrofluids\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
s000649 | [
"s000649_00.jpg",
"s000649_01.jpg",
"s000649_02.jpg",
"s000649_03.jpg",
"s000649_04.jpg",
"s000649_05.jpg",
"s000649_06.jpg",
"s000649_07.jpg",
"s000649_08.jpg",
"s000649_09.jpg",
"s000649_10.jpg",
"s000649_11.jpg",
"s000649_12.jpg",
"s000649_13.jpg",
"s000649_14.jpg",
"s000649_15.jpg",
"s000649_16.jpg",
"s000649_17.jpg",
"s000649_18.jpg",
"s000649_19.jpg"
] | Pusha T dancing with the Navy seals cinematic ultra realistic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000649.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 \"Pusha T dancing with the Navy seals cinematic ultra realistic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
1000927 | [
"1000927_00.jpg",
"1000927_01.jpg",
"1000927_02.jpg",
"1000927_03.jpg",
"1000927_04.jpg",
"1000927_05.jpg",
"1000927_06.jpg",
"1000927_07.jpg",
"1000927_08.jpg",
"1000927_09.jpg",
"1000927_10.jpg",
"1000927_11.jpg",
"1000927_12.jpg",
"1000927_13.jpg",
"1000927_14.jpg",
"1000927_15.jpg"
] | can you make a train realatic for butter clarity | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000927.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 \"can you make a train realatic for butter clarity\",\nall the frames of video are as 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"
}
] |
3000395 | [
"3000395_00.jpg",
"3000395_01.jpg",
"3000395_02.jpg",
"3000395_03.jpg",
"3000395_04.jpg",
"3000395_05.jpg",
"3000395_06.jpg",
"3000395_07.jpg",
"3000395_08.jpg",
"3000395_09.jpg",
"3000395_10.jpg",
"3000395_11.jpg",
"3000395_12.jpg",
"3000395_13.jpg",
"3000395_14.jpg",
"3000395_15.jpg"
] | Generate a playful scene of Piko happily playing in the snow, wearing his Santa hat, with other forest friends joining in the festive fun. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000395.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 \"Generate a playful scene of Piko happily playing in the snow, wearing his Santa hat, with other forest friends joining in the festive fun.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
1006948 | [
"1006948_00.jpg",
"1006948_01.jpg",
"1006948_02.jpg",
"1006948_03.jpg",
"1006948_04.jpg",
"1006948_05.jpg",
"1006948_06.jpg",
"1006948_07.jpg",
"1006948_08.jpg",
"1006948_09.jpg",
"1006948_10.jpg",
"1006948_11.jpg",
"1006948_12.jpg",
"1006948_13.jpg",
"1006948_14.jpg",
"1006948_15.jpg"
] | a woman wearing white sweater sits in a carriage that runs close to the window | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006948.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 woman wearing white sweater sits in a carriage that runs close to the window\",\nall the frames of video are as 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"
}
] |
2003349 | [
"2003349_00.jpg",
"2003349_01.jpg",
"2003349_02.jpg",
"2003349_03.jpg",
"2003349_04.jpg",
"2003349_05.jpg",
"2003349_06.jpg",
"2003349_07.jpg",
"2003349_08.jpg",
"2003349_09.jpg",
"2003349_10.jpg",
"2003349_11.jpg",
"2003349_12.jpg",
"2003349_13.jpg",
"2003349_14.jpg",
"2003349_15.jpg"
] | Howard runs away to get help from Trevor. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003349.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 \"Howard runs away to get help from Trevor.\",\nall the frames of video are as 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"
}
] |
4004557 | [
"4004557_00.jpg",
"4004557_01.jpg",
"4004557_02.jpg",
"4004557_03.jpg",
"4004557_04.jpg",
"4004557_05.jpg",
"4004557_06.jpg",
"4004557_07.jpg",
"4004557_08.jpg",
"4004557_09.jpg",
"4004557_10.jpg",
"4004557_11.jpg",
"4004557_12.jpg",
"4004557_13.jpg",
"4004557_14.jpg",
"4004557_15.jpg"
] | man eats bucket with ice cream after brake up | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004557.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 \"man eats bucket with ice cream after brake up\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
7001443 | [
"7001443_00.jpg",
"7001443_01.jpg",
"7001443_02.jpg",
"7001443_03.jpg",
"7001443_04.jpg",
"7001443_05.jpg",
"7001443_06.jpg",
"7001443_07.jpg"
] | a theatrical scene in the style of Yoji Shinkawa of a highly advanced cybernetic mecha godzilla spitting fire on a dystopian futuristic Tokyo, people running in fear, explosions in the background, buildings crumbling, cinematic, hyperreal, photorealistic, award winning sci fi by ridley scott, 8k imax theatrical release, vfx by weta digital | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001443.mp4 | 3 | 2 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a theatrical scene in the style of Yoji Shinkawa of a highly advanced cybernetic mecha godzilla spitting fire on a dystopian futuristic Tokyo, people running in fear, explosions in the background, buildings crumbling, cinematic, hyperreal, photorealistic, award winning sci fi by ridley scott, 8k imax theatrical release, vfx by weta digital\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
0006086 | [
"0006086_00.jpg",
"0006086_01.jpg",
"0006086_02.jpg",
"0006086_03.jpg",
"0006086_04.jpg",
"0006086_05.jpg",
"0006086_06.jpg",
"0006086_07.jpg",
"0006086_08.jpg",
"0006086_09.jpg",
"0006086_10.jpg",
"0006086_11.jpg",
"0006086_12.jpg",
"0006086_13.jpg",
"0006086_14.jpg",
"0006086_15.jpg",
"0006086_16.jpg",
"0006086_17.jpg",
"0006086_18.jpg",
"0006086_19.jpg",
"0006086_20.jpg",
"0006086_21.jpg",
"0006086_22.jpg",
"0006086_23.jpg"
] | The wind blowing fiercely, causing leaves to swirl around the old tree | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006086.mp4 | 1 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"The wind blowing fiercely, causing leaves to swirl around the old tree\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2001935 | [
"2001935_00.jpg",
"2001935_01.jpg",
"2001935_02.jpg",
"2001935_03.jpg",
"2001935_04.jpg",
"2001935_05.jpg",
"2001935_06.jpg",
"2001935_07.jpg",
"2001935_08.jpg",
"2001935_09.jpg",
"2001935_10.jpg",
"2001935_11.jpg",
"2001935_12.jpg",
"2001935_13.jpg",
"2001935_14.jpg",
"2001935_15.jpg"
] | make a video of a coke bottle on a table while the camera perspective is spinning around the coke bottle | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001935.mp4 | 3 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"make a video of a coke bottle on a table while the camera perspective is spinning around the coke bottle\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
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"
] | man walking on beach with heavy rainfall | 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 \"man walking on beach with heavy rainfall\",\nall the frames of video are as 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"
}
] |
4001475 | [
"4001475_00.jpg",
"4001475_01.jpg",
"4001475_02.jpg",
"4001475_03.jpg",
"4001475_04.jpg",
"4001475_05.jpg",
"4001475_06.jpg",
"4001475_07.jpg",
"4001475_08.jpg",
"4001475_09.jpg",
"4001475_10.jpg",
"4001475_11.jpg",
"4001475_12.jpg",
"4001475_13.jpg",
"4001475_14.jpg",
"4001475_15.jpg"
] | Aztec warrior on top of pyramid, cinematic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001475.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 \"Aztec warrior on top of pyramid, cinematic\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
s000790 | [
"s000790_00.jpg",
"s000790_01.jpg",
"s000790_02.jpg",
"s000790_03.jpg",
"s000790_04.jpg",
"s000790_05.jpg",
"s000790_06.jpg",
"s000790_07.jpg",
"s000790_08.jpg",
"s000790_09.jpg",
"s000790_10.jpg",
"s000790_11.jpg",
"s000790_12.jpg",
"s000790_13.jpg",
"s000790_14.jpg",
"s000790_15.jpg",
"s000790_16.jpg",
"s000790_17.jpg",
"s000790_18.jpg",
"s000790_19.jpg",
"s000790_20.jpg",
"s000790_21.jpg",
"s000790_22.jpg",
"s000790_23.jpg"
] | camera moving forward, aerial shot, Draw Lucas, a smiling boy, holding his faithful friend, Bolt, the dog, as they walk through the forest together, negative: bad eye quality, bad moving, bad leg | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000790.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 \"camera moving forward, aerial shot, Draw Lucas, a smiling boy, holding his faithful friend, Bolt, the dog, as they walk through the forest together, negative: bad eye quality, bad moving, bad leg\",\nall the 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"
}
] |
6004602 | [
"6004602_00.jpg",
"6004602_01.jpg",
"6004602_02.jpg",
"6004602_03.jpg",
"6004602_04.jpg",
"6004602_05.jpg",
"6004602_06.jpg",
"6004602_07.jpg",
"6004602_08.jpg",
"6004602_09.jpg",
"6004602_10.jpg",
"6004602_11.jpg",
"6004602_12.jpg",
"6004602_13.jpg",
"6004602_14.jpg",
"6004602_15.jpg"
] | create the image of the disciple of Jesus called James | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004602.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"create the image of the disciple of Jesus called James\",\nall the frames of video are as 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"
}
] |
8000903 | [
"8000903_00.jpg",
"8000903_01.jpg",
"8000903_02.jpg",
"8000903_03.jpg",
"8000903_04.jpg",
"8000903_05.jpg",
"8000903_06.jpg",
"8000903_07.jpg",
"8000903_08.jpg",
"8000903_09.jpg",
"8000903_10.jpg",
"8000903_11.jpg",
"8000903_12.jpg",
"8000903_13.jpg",
"8000903_14.jpg",
"8000903_15.jpg",
"8000903_16.jpg",
"8000903_17.jpg",
"8000903_18.jpg",
"8000903_19.jpg",
"8000903_20.jpg",
"8000903_21.jpg",
"8000903_22.jpg",
"8000903_23.jpg"
] | Hanging garden of Babylon with birds | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000903.mp4 | 1 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Hanging garden of Babylon with birds\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0000678 | [
"0000678_00.jpg",
"0000678_01.jpg",
"0000678_02.jpg",
"0000678_03.jpg",
"0000678_04.jpg",
"0000678_05.jpg",
"0000678_06.jpg",
"0000678_07.jpg",
"0000678_08.jpg",
"0000678_09.jpg",
"0000678_10.jpg",
"0000678_11.jpg",
"0000678_12.jpg",
"0000678_13.jpg",
"0000678_14.jpg",
"0000678_15.jpg",
"0000678_16.jpg",
"0000678_17.jpg",
"0000678_18.jpg",
"0000678_19.jpg",
"0000678_20.jpg",
"0000678_21.jpg",
"0000678_22.jpg",
"0000678_23.jpg"
] | girls is speaking and clocks are turning | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000678.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 \"girls is speaking and clocks are turning\",\nall the 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"
}
] |
3004827 | [
"3004827_00.jpg",
"3004827_01.jpg",
"3004827_02.jpg",
"3004827_03.jpg",
"3004827_04.jpg",
"3004827_05.jpg",
"3004827_06.jpg",
"3004827_07.jpg",
"3004827_08.jpg",
"3004827_09.jpg",
"3004827_10.jpg",
"3004827_11.jpg",
"3004827_12.jpg",
"3004827_13.jpg",
"3004827_14.jpg",
"3004827_15.jpg"
] | a top view pond with coi fish, water ripple effect, hd, 8k, 60fps, HDR, noise offset, best quality, highres, optical image stabilization | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004827.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 \"a top view pond with coi fish, water ripple effect, hd, 8k, 60fps, HDR, noise offset, best quality, highres, optical image stabilization\",\nall the frames of video are as 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"
}
] |
7003680 | [
"7003680_00.jpg",
"7003680_01.jpg",
"7003680_02.jpg",
"7003680_03.jpg",
"7003680_04.jpg",
"7003680_05.jpg",
"7003680_06.jpg",
"7003680_07.jpg"
] | a baseball glove | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003680.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 \"a baseball glove\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
8001969 | [
"8001969_00.jpg",
"8001969_01.jpg",
"8001969_02.jpg",
"8001969_03.jpg",
"8001969_04.jpg",
"8001969_05.jpg",
"8001969_06.jpg",
"8001969_07.jpg",
"8001969_08.jpg",
"8001969_09.jpg",
"8001969_10.jpg",
"8001969_11.jpg",
"8001969_12.jpg",
"8001969_13.jpg",
"8001969_14.jpg",
"8001969_15.jpg",
"8001969_16.jpg",
"8001969_17.jpg",
"8001969_18.jpg",
"8001969_19.jpg",
"8001969_20.jpg",
"8001969_21.jpg",
"8001969_22.jpg",
"8001969_23.jpg"
] | animated drawing employee aplying for a job passing an interview | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001969.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 \"animated drawing employee aplying for a job passing an interview\",\nall the 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"
}
] |
3005070 | [
"3005070_00.jpg",
"3005070_01.jpg",
"3005070_02.jpg",
"3005070_03.jpg",
"3005070_04.jpg",
"3005070_05.jpg",
"3005070_06.jpg",
"3005070_07.jpg",
"3005070_08.jpg",
"3005070_09.jpg",
"3005070_10.jpg",
"3005070_11.jpg",
"3005070_12.jpg",
"3005070_13.jpg",
"3005070_14.jpg",
"3005070_15.jpg"
] | Create a video of the young IA anime sitting in a brown office with a computer and some notebooks on top of him and an appropriate background, explaining a product to the camera. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005070.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Create a video of the young IA anime sitting in a brown office with a computer and some notebooks on top of him and an appropriate background, explaining a product to 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: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0005417 | [
"0005417_00.jpg",
"0005417_01.jpg",
"0005417_02.jpg",
"0005417_03.jpg",
"0005417_04.jpg",
"0005417_05.jpg",
"0005417_06.jpg",
"0005417_07.jpg",
"0005417_08.jpg",
"0005417_09.jpg",
"0005417_10.jpg",
"0005417_11.jpg",
"0005417_12.jpg",
"0005417_13.jpg",
"0005417_14.jpg",
"0005417_15.jpg",
"0005417_16.jpg",
"0005417_17.jpg",
"0005417_18.jpg",
"0005417_19.jpg",
"0005417_20.jpg",
"0005417_21.jpg",
"0005417_22.jpg",
"0005417_23.jpg"
] | Filipino men citizen studying in foreign school with foreign students | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005417.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 \"Filipino men citizen studying in foreign school with foreign students\",\nall the 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"
}
] |
1006697 | [
"1006697_00.jpg",
"1006697_01.jpg",
"1006697_02.jpg",
"1006697_03.jpg",
"1006697_04.jpg",
"1006697_05.jpg",
"1006697_06.jpg",
"1006697_07.jpg",
"1006697_08.jpg",
"1006697_09.jpg",
"1006697_10.jpg",
"1006697_11.jpg",
"1006697_12.jpg",
"1006697_13.jpg",
"1006697_14.jpg",
"1006697_15.jpg"
] | realistic robot war dark cyberpunk atmosphere | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006697.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 \"realistic robot war dark cyberpunk atmosphere\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
1000620 | [
"1000620_00.jpg",
"1000620_01.jpg",
"1000620_02.jpg",
"1000620_03.jpg",
"1000620_04.jpg",
"1000620_05.jpg",
"1000620_06.jpg",
"1000620_07.jpg",
"1000620_08.jpg",
"1000620_09.jpg",
"1000620_10.jpg",
"1000620_11.jpg",
"1000620_12.jpg",
"1000620_13.jpg",
"1000620_14.jpg",
"1000620_15.jpg"
] | a boy walking on road with alien | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000620.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 boy walking on road with alien\",\nall the frames of video are as 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"
}
] |
2002616 | [
"2002616_00.jpg",
"2002616_01.jpg",
"2002616_02.jpg",
"2002616_03.jpg",
"2002616_04.jpg",
"2002616_05.jpg",
"2002616_06.jpg",
"2002616_07.jpg",
"2002616_08.jpg",
"2002616_09.jpg",
"2002616_10.jpg",
"2002616_11.jpg",
"2002616_12.jpg",
"2002616_13.jpg",
"2002616_14.jpg",
"2002616_15.jpg"
] | man is dancing to hip hop music. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002616.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 \"man is dancing to hip hop music.\",\nall the frames of video are as 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"
}
] |
2002934 | [
"2002934_00.jpg",
"2002934_01.jpg",
"2002934_02.jpg",
"2002934_03.jpg",
"2002934_04.jpg",
"2002934_05.jpg",
"2002934_06.jpg",
"2002934_07.jpg",
"2002934_08.jpg",
"2002934_09.jpg",
"2002934_10.jpg",
"2002934_11.jpg",
"2002934_12.jpg",
"2002934_13.jpg",
"2002934_14.jpg",
"2002934_15.jpg"
] | two annimated boys sleeping side by side
in a forest face visible filter realistic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002934.mp4 | 2 | 3 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"two annimated boys sleeping side by side\n in a forest face visible filter 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: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1001195 | [
"1001195_00.jpg",
"1001195_01.jpg",
"1001195_02.jpg",
"1001195_03.jpg",
"1001195_04.jpg",
"1001195_05.jpg",
"1001195_06.jpg",
"1001195_07.jpg",
"1001195_08.jpg",
"1001195_09.jpg",
"1001195_10.jpg",
"1001195_11.jpg",
"1001195_12.jpg",
"1001195_13.jpg",
"1001195_14.jpg",
"1001195_15.jpg"
] | a beautiful girl is happy to see me | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001195.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 beautiful girl is happy to see 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> "
},
{
"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"
}
] |
5001853 | [
"5001853_00.jpg",
"5001853_01.jpg",
"5001853_02.jpg",
"5001853_03.jpg",
"5001853_04.jpg",
"5001853_05.jpg",
"5001853_06.jpg",
"5001853_07.jpg",
"5001853_08.jpg",
"5001853_09.jpg",
"5001853_10.jpg",
"5001853_11.jpg",
"5001853_12.jpg",
"5001853_13.jpg",
"5001853_14.jpg",
"5001853_15.jpg"
] | behind view of a man gaming on his gaming pc setup with view of city at night, with traffic, heavy snow outside | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001853.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 \"behind view of a man gaming on his gaming pc setup with view of city at night, with traffic, heavy snow outside\",\nall the frames of video are as 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"
}
] |
4001499 | [
"4001499_00.jpg",
"4001499_01.jpg",
"4001499_02.jpg",
"4001499_03.jpg",
"4001499_04.jpg",
"4001499_05.jpg",
"4001499_06.jpg",
"4001499_07.jpg",
"4001499_08.jpg",
"4001499_09.jpg",
"4001499_10.jpg",
"4001499_11.jpg",
"4001499_12.jpg",
"4001499_13.jpg",
"4001499_14.jpg",
"4001499_15.jpg"
] | dodo bird jumping into a coffee cup, 4k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001499.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 \"dodo bird jumping into a coffee cup, 4k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
6001572 | [
"6001572_00.jpg",
"6001572_01.jpg",
"6001572_02.jpg",
"6001572_03.jpg",
"6001572_04.jpg",
"6001572_05.jpg",
"6001572_06.jpg",
"6001572_07.jpg",
"6001572_08.jpg",
"6001572_09.jpg",
"6001572_10.jpg",
"6001572_11.jpg",
"6001572_12.jpg",
"6001572_13.jpg",
"6001572_14.jpg",
"6001572_15.jpg"
] | grass, orioles, February, sky, swaying embankment, willow trees, spring mist, children, finish school, return, east wind, paper kites | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001572.mp4 | 1 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"grass, orioles, February, sky, swaying embankment, willow trees, spring mist, children, finish school, return, east wind, paper kites\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2001726 | [
"2001726_00.jpg",
"2001726_01.jpg",
"2001726_02.jpg",
"2001726_03.jpg",
"2001726_04.jpg",
"2001726_05.jpg",
"2001726_06.jpg",
"2001726_07.jpg",
"2001726_08.jpg",
"2001726_09.jpg",
"2001726_10.jpg",
"2001726_11.jpg",
"2001726_12.jpg",
"2001726_13.jpg",
"2001726_14.jpg",
"2001726_15.jpg"
] | white marble flora design water fountain in garden 3d realistic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001726.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 \"white marble flora design water fountain in garden 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: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |