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stringlengths 89
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| visual quality
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| temporal consistency
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| dynamic degree
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4
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int64 0
4
| factual consistency
int64 1
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listlengths 2
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2003262 | [
"2003262_00.jpg",
"2003262_01.jpg",
"2003262_02.jpg",
"2003262_03.jpg",
"2003262_04.jpg",
"2003262_05.jpg",
"2003262_06.jpg",
"2003262_07.jpg",
"2003262_08.jpg",
"2003262_09.jpg",
"2003262_10.jpg",
"2003262_11.jpg",
"2003262_12.jpg",
"2003262_13.jpg",
"2003262_14.jpg",
"2003262_15.jpg"
] | A drone camera circles around a beautiful historic church built on a rocky outcropping along the Amalfi Coast, the view showcases historic and magnificent architectural details and tiered pathways and patios, waves are seen crashing against the rocks below as the view overlooks the horizon of the coastal waters and hilly landscapes of the Amalfi Coast Italy, several distant people are seen walking and enjoying vistas on patios of the dramatic ocean views, the warm glow of the afternoon sun creates a magical and romantic feeling to the scene, the view is stunning captured with beautiful photography. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003262.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 \"A drone camera circles around a beautiful historic church built on a rocky outcropping along the Amalfi Coast, the view showcases historic and magnificent architectural details and tiered pathways and patios, waves are seen crashing against the rocks below as the view overlooks the horizon of the coastal waters and hilly landscapes of the Amalfi Coast Italy, several distant people are seen walking and enjoying vistas on patios of the dramatic ocean views, the warm glow of the afternoon sun creates a magical and romantic feeling to the scene, the view is stunning captured with beautiful photography.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1000174 | [
"1000174_00.jpg",
"1000174_01.jpg",
"1000174_02.jpg",
"1000174_03.jpg",
"1000174_04.jpg",
"1000174_05.jpg",
"1000174_06.jpg",
"1000174_07.jpg",
"1000174_08.jpg",
"1000174_09.jpg",
"1000174_10.jpg",
"1000174_11.jpg",
"1000174_12.jpg",
"1000174_13.jpg",
"1000174_14.jpg",
"1000174_15.jpg"
] | zooming camera across the mountains the sun si shining | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000174.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 \"zooming camera across the mountains the sun si shining\",\nall the frames of video are as 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"
}
] |
2000928 | [
"2000928_00.jpg",
"2000928_01.jpg",
"2000928_02.jpg",
"2000928_03.jpg",
"2000928_04.jpg",
"2000928_05.jpg",
"2000928_06.jpg",
"2000928_07.jpg",
"2000928_08.jpg",
"2000928_09.jpg",
"2000928_10.jpg",
"2000928_11.jpg",
"2000928_12.jpg",
"2000928_13.jpg",
"2000928_14.jpg",
"2000928_15.jpg"
] | 3d clororful fruits falling from a pink sky | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000928.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 \"3d clororful fruits falling from a pink sky\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
s000398 | [
"s000398_00.jpg",
"s000398_01.jpg",
"s000398_02.jpg",
"s000398_03.jpg",
"s000398_04.jpg",
"s000398_05.jpg",
"s000398_06.jpg",
"s000398_07.jpg",
"s000398_08.jpg",
"s000398_09.jpg",
"s000398_10.jpg",
"s000398_11.jpg",
"s000398_12.jpg",
"s000398_13.jpg",
"s000398_14.jpg",
"s000398_15.jpg",
"s000398_16.jpg",
"s000398_17.jpg",
"s000398_18.jpg",
"s000398_19.jpg"
] | A girl sings at the beach | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000398.mp4 | 4 | 4 | 4 | 0 | 4 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A girl sings at the beach\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
3005571 | [
"3005571_00.jpg",
"3005571_01.jpg",
"3005571_02.jpg",
"3005571_03.jpg",
"3005571_04.jpg",
"3005571_05.jpg",
"3005571_06.jpg",
"3005571_07.jpg",
"3005571_08.jpg",
"3005571_09.jpg",
"3005571_10.jpg",
"3005571_11.jpg",
"3005571_12.jpg",
"3005571_13.jpg",
"3005571_14.jpg",
"3005571_15.jpg"
] | hyper realistic, detailed, boeing 747 on airport runway | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005571.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 \"hyper realistic, detailed, boeing 747 on airport runway\",\nall the frames of video are as 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"
}
] |
s000289 | [
"s000289_00.jpg",
"s000289_01.jpg",
"s000289_02.jpg",
"s000289_03.jpg",
"s000289_04.jpg",
"s000289_05.jpg",
"s000289_06.jpg",
"s000289_07.jpg",
"s000289_08.jpg",
"s000289_09.jpg",
"s000289_10.jpg",
"s000289_11.jpg",
"s000289_12.jpg",
"s000289_13.jpg",
"s000289_14.jpg",
"s000289_15.jpg",
"s000289_16.jpg",
"s000289_17.jpg",
"s000289_18.jpg",
"s000289_19.jpg"
] | from stage chief guest called kid sam to the stage | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000289.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 \"from stage chief guest called kid sam to the stage\",\nall the 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"
}
] |
1000837 | [
"1000837_00.jpg",
"1000837_01.jpg",
"1000837_02.jpg",
"1000837_03.jpg",
"1000837_04.jpg",
"1000837_05.jpg",
"1000837_06.jpg",
"1000837_07.jpg",
"1000837_08.jpg",
"1000837_09.jpg",
"1000837_10.jpg",
"1000837_11.jpg",
"1000837_12.jpg",
"1000837_13.jpg",
"1000837_14.jpg",
"1000837_15.jpg"
] | a video best resolution of a candle morphing in bulb lamp | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000837.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 video best resolution of a candle morphing in bulb lamp\",\nall the frames of video are as 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"
}
] |
1004223 | [
"1004223_00.jpg",
"1004223_01.jpg",
"1004223_02.jpg",
"1004223_03.jpg",
"1004223_04.jpg",
"1004223_05.jpg",
"1004223_06.jpg",
"1004223_07.jpg",
"1004223_08.jpg",
"1004223_09.jpg",
"1004223_10.jpg",
"1004223_11.jpg",
"1004223_12.jpg",
"1004223_13.jpg",
"1004223_14.jpg",
"1004223_15.jpg"
] | Charlie Manson in his San Quinton orange jumpsuit doing the Molly Wap for the Lols | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004223.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 \"Charlie Manson in his San Quinton orange jumpsuit doing the Molly Wap for the Lols\",\nall the frames of video are as 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"
}
] |
3001675 | [
"3001675_00.jpg",
"3001675_01.jpg",
"3001675_02.jpg",
"3001675_03.jpg",
"3001675_04.jpg",
"3001675_05.jpg",
"3001675_06.jpg",
"3001675_07.jpg",
"3001675_08.jpg",
"3001675_09.jpg",
"3001675_10.jpg",
"3001675_11.jpg",
"3001675_12.jpg",
"3001675_13.jpg",
"3001675_14.jpg",
"3001675_15.jpg"
] | Climactic Rooftop Performance: Describe the climactic rooftop performance where the artist, 21 Savage, and Drake join forces against a backdrop of fireworks, neon lights, and the futuristic skyline. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001675.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 \"Climactic Rooftop Performance: Describe the climactic rooftop performance where the artist, 21 Savage, and Drake join forces against a backdrop of fireworks, neon lights, and the futuristic skyline.\",\nall the frames of video are as 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"
}
] |
5000533 | [
"5000533_00.jpg",
"5000533_01.jpg",
"5000533_02.jpg",
"5000533_03.jpg",
"5000533_04.jpg",
"5000533_05.jpg",
"5000533_06.jpg",
"5000533_07.jpg",
"5000533_08.jpg",
"5000533_09.jpg",
"5000533_10.jpg",
"5000533_11.jpg",
"5000533_12.jpg",
"5000533_13.jpg",
"5000533_14.jpg",
"5000533_15.jpg"
] | Claudio Baglioni at age 10 watches from his balcony as many musical notes fall from the night sky, with a beautiful, shining full moon above the buildings of a suburban Italian neighborhood in the 1970s | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000533.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 \"Claudio Baglioni at age 10 watches from his balcony as many musical notes fall from the night sky, with a beautiful, shining full moon above the buildings of a suburban Italian neighborhood in the 1970s\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
1006336 | [
"1006336_00.jpg",
"1006336_01.jpg",
"1006336_02.jpg",
"1006336_03.jpg",
"1006336_04.jpg",
"1006336_05.jpg",
"1006336_06.jpg",
"1006336_07.jpg",
"1006336_08.jpg",
"1006336_09.jpg",
"1006336_10.jpg",
"1006336_11.jpg",
"1006336_12.jpg",
"1006336_13.jpg",
"1006336_14.jpg",
"1006336_15.jpg"
] | a big cathodic screen in the middle of a desert, green moss, on grey pinkish sand, dust and rocks, blue sky, bright white sun, eerie shapes, dynamic, a punk guy passing by a huge round mirror | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006336.mp4 | 2 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a big cathodic screen in the middle of a desert, green moss, on grey pinkish sand, dust and rocks, blue sky, bright white sun, eerie shapes, dynamic, a punk guy passing by a huge round mirror\",\nall the frames of video are as 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"
}
] |
0002573 | [
"0002573_00.jpg",
"0002573_01.jpg",
"0002573_02.jpg",
"0002573_03.jpg",
"0002573_04.jpg",
"0002573_05.jpg",
"0002573_06.jpg",
"0002573_07.jpg",
"0002573_08.jpg",
"0002573_09.jpg",
"0002573_10.jpg",
"0002573_11.jpg",
"0002573_12.jpg",
"0002573_13.jpg",
"0002573_14.jpg",
"0002573_15.jpg",
"0002573_16.jpg",
"0002573_17.jpg",
"0002573_18.jpg",
"0002573_19.jpg",
"0002573_20.jpg",
"0002573_21.jpg",
"0002573_22.jpg",
"0002573_23.jpg"
] | a wonderfull woman flying through the sky with long dark blonde hair | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002573.mp4 | 3 | 3 | 2 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a wonderfull woman flying through the sky with long dark blonde hair\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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: 1\n"
}
] |
2001904 | [
"2001904_00.jpg",
"2001904_01.jpg",
"2001904_02.jpg",
"2001904_03.jpg",
"2001904_04.jpg",
"2001904_05.jpg",
"2001904_06.jpg",
"2001904_07.jpg",
"2001904_08.jpg",
"2001904_09.jpg",
"2001904_10.jpg",
"2001904_11.jpg",
"2001904_12.jpg",
"2001904_13.jpg",
"2001904_14.jpg",
"2001904_15.jpg"
] | a sanitation worker who wear suit, mask, helmet and glove is walking by carrying a small bucket, cartoon design | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001904.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 \"a sanitation worker who wear suit, mask, helmet and glove is walking by carrying a small bucket, cartoon design\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1002486 | [
"1002486_00.jpg",
"1002486_01.jpg",
"1002486_02.jpg",
"1002486_03.jpg",
"1002486_04.jpg",
"1002486_05.jpg",
"1002486_06.jpg",
"1002486_07.jpg",
"1002486_08.jpg",
"1002486_09.jpg",
"1002486_10.jpg",
"1002486_11.jpg",
"1002486_12.jpg",
"1002486_13.jpg",
"1002486_14.jpg",
"1002486_15.jpg"
] | She also encounters a room filled with living light, with glowing plants growing on the walls. The room gave her a sense of tranquility and peace, but she also discovered that only the paths bathed in the light of the plants were safe, and that dangers might lurk elsewhere. In this room, she needs to find the right path to light and avoid falling into the trap of darkness. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002486.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 \"She also encounters a room filled with living light, with glowing plants growing on the walls. The room gave her a sense of tranquility and peace, but she also discovered that only the paths bathed in the light of the plants were safe, and that dangers might lurk elsewhere. In this room, she needs to find the right path to light and avoid falling into the trap of darkness.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
6002221 | [
"6002221_00.jpg",
"6002221_01.jpg",
"6002221_02.jpg",
"6002221_03.jpg",
"6002221_04.jpg",
"6002221_05.jpg",
"6002221_06.jpg",
"6002221_07.jpg",
"6002221_08.jpg",
"6002221_09.jpg",
"6002221_10.jpg",
"6002221_11.jpg",
"6002221_12.jpg",
"6002221_13.jpg",
"6002221_14.jpg",
"6002221_15.jpg"
] | the bear on the snow forest | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002221.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"the bear on the snow 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> "
},
{
"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"
}
] |
9000850 | [
"9000850_00.jpg",
"9000850_01.jpg",
"9000850_02.jpg",
"9000850_03.jpg",
"9000850_04.jpg",
"9000850_05.jpg",
"9000850_06.jpg",
"9000850_07.jpg",
"9000850_08.jpg",
"9000850_09.jpg",
"9000850_10.jpg",
"9000850_11.jpg",
"9000850_12.jpg",
"9000850_13.jpg",
"9000850_14.jpg",
"9000850_15.jpg",
"9000850_16.jpg",
"9000850_17.jpg",
"9000850_18.jpg",
"9000850_19.jpg",
"9000850_20.jpg",
"9000850_21.jpg",
"9000850_22.jpg",
"9000850_23.jpg"
] | an elephant and a bear | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000850.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 elephant and a bear\",\nall the 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"
}
] |
0000159 | [
"0000159_00.jpg",
"0000159_01.jpg",
"0000159_02.jpg",
"0000159_03.jpg",
"0000159_04.jpg",
"0000159_05.jpg",
"0000159_06.jpg",
"0000159_07.jpg",
"0000159_08.jpg",
"0000159_09.jpg",
"0000159_10.jpg",
"0000159_11.jpg",
"0000159_12.jpg",
"0000159_13.jpg",
"0000159_14.jpg",
"0000159_15.jpg",
"0000159_16.jpg",
"0000159_17.jpg",
"0000159_18.jpg",
"0000159_19.jpg",
"0000159_20.jpg",
"0000159_21.jpg",
"0000159_22.jpg",
"0000159_23.jpg"
] | A handsome young Asian man in a metallic silver sport coat walking out of a jail cell. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000159.mp4 | 3 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A handsome young Asian man in a metallic silver sport coat walking out of a jail cell.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
8003436 | [
"8003436_00.jpg",
"8003436_01.jpg",
"8003436_02.jpg",
"8003436_03.jpg",
"8003436_04.jpg",
"8003436_05.jpg",
"8003436_06.jpg",
"8003436_07.jpg",
"8003436_08.jpg",
"8003436_09.jpg",
"8003436_10.jpg",
"8003436_11.jpg",
"8003436_12.jpg",
"8003436_13.jpg",
"8003436_14.jpg",
"8003436_15.jpg",
"8003436_16.jpg",
"8003436_17.jpg",
"8003436_18.jpg",
"8003436_19.jpg",
"8003436_20.jpg",
"8003436_21.jpg",
"8003436_22.jpg",
"8003436_23.jpg"
] | straight on composition, blue box sits center on top of a glass table, box is made of glass, translucent glass, light passers through soft reflections, soft color gradient background, in the style of commercial photography, natural lighting | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8003436.mp4 | 1 | 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 \"straight on composition, blue box sits center on top of a glass table, box is made of glass, translucent glass, light passers through soft reflections, soft color gradient background, in the style of commercial photography, natural lighting\",\nall the 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: 3\n"
}
] |
2002733 | [
"2002733_00.jpg",
"2002733_01.jpg",
"2002733_02.jpg",
"2002733_03.jpg",
"2002733_04.jpg",
"2002733_05.jpg",
"2002733_06.jpg",
"2002733_07.jpg",
"2002733_08.jpg",
"2002733_09.jpg",
"2002733_10.jpg",
"2002733_11.jpg",
"2002733_12.jpg",
"2002733_13.jpg",
"2002733_14.jpg",
"2002733_15.jpg"
] | a soldier playing the piano in a destroyed house during a dark an rainy day | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002733.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 soldier playing the piano in a destroyed house during a dark an rainy day\",\nall the frames of video are as 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"
}
] |
4003006 | [
"4003006_00.jpg",
"4003006_01.jpg",
"4003006_02.jpg",
"4003006_03.jpg",
"4003006_04.jpg",
"4003006_05.jpg",
"4003006_06.jpg",
"4003006_07.jpg",
"4003006_08.jpg",
"4003006_09.jpg",
"4003006_10.jpg",
"4003006_11.jpg",
"4003006_12.jpg",
"4003006_13.jpg",
"4003006_14.jpg",
"4003006_15.jpg"
] | A shining sun in the sky, radiating its brilliance. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003006.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 shining sun in the sky, radiating its brilliance.\",\nall the frames of video are as 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"
}
] |
3006866 | [
"3006866_00.jpg",
"3006866_01.jpg",
"3006866_02.jpg",
"3006866_03.jpg",
"3006866_04.jpg",
"3006866_05.jpg",
"3006866_06.jpg",
"3006866_07.jpg",
"3006866_08.jpg",
"3006866_09.jpg",
"3006866_10.jpg",
"3006866_11.jpg",
"3006866_12.jpg",
"3006866_13.jpg",
"3006866_14.jpg",
"3006866_15.jpg"
] | Chinese herbal medicine Message: Happiness TCM (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006866.mp4 | 2 | 3 | 1 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Chinese herbal medicine Message: Happiness TCM (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
5000223 | [
"5000223_00.jpg",
"5000223_01.jpg",
"5000223_02.jpg",
"5000223_03.jpg",
"5000223_04.jpg",
"5000223_05.jpg",
"5000223_06.jpg",
"5000223_07.jpg",
"5000223_08.jpg",
"5000223_09.jpg",
"5000223_10.jpg",
"5000223_11.jpg",
"5000223_12.jpg",
"5000223_13.jpg",
"5000223_14.jpg",
"5000223_15.jpg"
] | a story game in which you venture into history and escape from it | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000223.mp4 | 2 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a story game in which you venture into history and escape from it\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
5000662 | [
"5000662_00.jpg",
"5000662_01.jpg",
"5000662_02.jpg",
"5000662_03.jpg",
"5000662_04.jpg",
"5000662_05.jpg",
"5000662_06.jpg",
"5000662_07.jpg",
"5000662_08.jpg",
"5000662_09.jpg",
"5000662_10.jpg",
"5000662_11.jpg",
"5000662_12.jpg",
"5000662_13.jpg",
"5000662_14.jpg",
"5000662_15.jpg"
] | NFT with the kawaii pet and astronauts | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000662.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 \"NFT with the kawaii pet and astronauts\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
0000047 | [
"0000047_00.jpg",
"0000047_01.jpg",
"0000047_02.jpg",
"0000047_03.jpg",
"0000047_04.jpg",
"0000047_05.jpg",
"0000047_06.jpg",
"0000047_07.jpg",
"0000047_08.jpg",
"0000047_09.jpg",
"0000047_10.jpg",
"0000047_11.jpg",
"0000047_12.jpg",
"0000047_13.jpg",
"0000047_14.jpg",
"0000047_15.jpg",
"0000047_16.jpg",
"0000047_17.jpg",
"0000047_18.jpg",
"0000047_19.jpg",
"0000047_20.jpg",
"0000047_21.jpg",
"0000047_22.jpg",
"0000047_23.jpg"
] | woman sad for the loss of a loved one. medidas 1920x1080 | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000047.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 \"woman sad for the loss of a loved one. medidas 1920x1080\",\nall the 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"
}
] |
6000810 | [
"6000810_00.jpg",
"6000810_01.jpg",
"6000810_02.jpg",
"6000810_03.jpg",
"6000810_04.jpg",
"6000810_05.jpg",
"6000810_06.jpg",
"6000810_07.jpg",
"6000810_08.jpg",
"6000810_09.jpg",
"6000810_10.jpg",
"6000810_11.jpg",
"6000810_12.jpg",
"6000810_13.jpg",
"6000810_14.jpg",
"6000810_15.jpg"
] | George Carlin reacting to the current state of the world | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000810.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 \"George Carlin reacting to the current state of the 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"
}
] |
2005087 | [
"2005087_00.jpg",
"2005087_01.jpg",
"2005087_02.jpg",
"2005087_03.jpg",
"2005087_04.jpg",
"2005087_05.jpg",
"2005087_06.jpg",
"2005087_07.jpg",
"2005087_08.jpg",
"2005087_09.jpg",
"2005087_10.jpg",
"2005087_11.jpg",
"2005087_12.jpg",
"2005087_13.jpg",
"2005087_14.jpg",
"2005087_15.jpg"
] | a sad man taking his shirt off | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005087.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 sad man taking his shirt off\",\nall the frames of video are as 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"
}
] |
0006223 | [
"0006223_00.jpg",
"0006223_01.jpg",
"0006223_02.jpg",
"0006223_03.jpg",
"0006223_04.jpg",
"0006223_05.jpg",
"0006223_06.jpg",
"0006223_07.jpg",
"0006223_08.jpg",
"0006223_09.jpg",
"0006223_10.jpg",
"0006223_11.jpg",
"0006223_12.jpg",
"0006223_13.jpg",
"0006223_14.jpg",
"0006223_15.jpg",
"0006223_16.jpg",
"0006223_17.jpg",
"0006223_18.jpg",
"0006223_19.jpg",
"0006223_20.jpg",
"0006223_21.jpg",
"0006223_22.jpg",
"0006223_23.jpg"
] | flock of neon jelly fishes in the deep | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006223.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 \"flock of neon jelly fishes in the deep\",\nall the 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"
}
] |
3000687 | [
"3000687_00.jpg",
"3000687_01.jpg",
"3000687_02.jpg",
"3000687_03.jpg",
"3000687_04.jpg",
"3000687_05.jpg",
"3000687_06.jpg",
"3000687_07.jpg",
"3000687_08.jpg",
"3000687_09.jpg",
"3000687_10.jpg",
"3000687_11.jpg",
"3000687_12.jpg",
"3000687_13.jpg",
"3000687_14.jpg",
"3000687_15.jpg"
] | burger food Message: smart (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000687.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 \"burger food Message: smart (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
7000347 | [
"7000347_00.jpg",
"7000347_01.jpg",
"7000347_02.jpg",
"7000347_03.jpg",
"7000347_04.jpg",
"7000347_05.jpg",
"7000347_06.jpg",
"7000347_07.jpg"
] | the corruption of the flesh in the sky beksinski style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000347.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 corruption of the flesh in the sky beksinski style\",\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"
}
] |
0004350 | [
"0004350_00.jpg",
"0004350_01.jpg",
"0004350_02.jpg",
"0004350_03.jpg",
"0004350_04.jpg",
"0004350_05.jpg",
"0004350_06.jpg",
"0004350_07.jpg",
"0004350_08.jpg",
"0004350_09.jpg",
"0004350_10.jpg",
"0004350_11.jpg",
"0004350_12.jpg",
"0004350_13.jpg",
"0004350_14.jpg",
"0004350_15.jpg",
"0004350_16.jpg",
"0004350_17.jpg",
"0004350_18.jpg",
"0004350_19.jpg",
"0004350_20.jpg",
"0004350_21.jpg",
"0004350_22.jpg",
"0004350_23.jpg"
] | A gourmet party, cheers, many races, smiles, finely crafted, | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004350.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 gourmet party, cheers, many races, smiles, finely crafted,\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
4000289 | [
"4000289_00.jpg",
"4000289_01.jpg",
"4000289_02.jpg",
"4000289_03.jpg",
"4000289_04.jpg",
"4000289_05.jpg",
"4000289_06.jpg",
"4000289_07.jpg",
"4000289_08.jpg",
"4000289_09.jpg",
"4000289_10.jpg",
"4000289_11.jpg",
"4000289_12.jpg",
"4000289_13.jpg",
"4000289_14.jpg",
"4000289_15.jpg"
] | A beautiful sea reef that illuminates the sun, ultra wide shot | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000289.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 beautiful sea reef that illuminates the sun, ultra wide shot\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6001581 | [
"6001581_00.jpg",
"6001581_01.jpg",
"6001581_02.jpg",
"6001581_03.jpg",
"6001581_04.jpg",
"6001581_05.jpg",
"6001581_06.jpg",
"6001581_07.jpg",
"6001581_08.jpg",
"6001581_09.jpg",
"6001581_10.jpg",
"6001581_11.jpg",
"6001581_12.jpg",
"6001581_13.jpg",
"6001581_14.jpg",
"6001581_15.jpg"
] | A red heart shape appearing out of a foggy background | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001581.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 red heart shape appearing out of a foggy 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: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2002895 | [
"2002895_00.jpg",
"2002895_01.jpg",
"2002895_02.jpg",
"2002895_03.jpg",
"2002895_04.jpg",
"2002895_05.jpg",
"2002895_06.jpg",
"2002895_07.jpg",
"2002895_08.jpg",
"2002895_09.jpg",
"2002895_10.jpg",
"2002895_11.jpg",
"2002895_12.jpg",
"2002895_13.jpg",
"2002895_14.jpg",
"2002895_15.jpg"
] | future world becomes more intelligent and very advanced building, modern city, machinary and cars | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002895.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 \"future world becomes more intelligent and very advanced building, modern city, machinary and cars\",\nall the frames of video are as 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"
}
] |
2005140 | [
"2005140_00.jpg",
"2005140_01.jpg",
"2005140_02.jpg",
"2005140_03.jpg",
"2005140_04.jpg",
"2005140_05.jpg",
"2005140_06.jpg",
"2005140_07.jpg",
"2005140_08.jpg",
"2005140_09.jpg",
"2005140_10.jpg",
"2005140_11.jpg",
"2005140_12.jpg",
"2005140_13.jpg",
"2005140_14.jpg",
"2005140_15.jpg"
] | A woman is driving her car towards a forest on top of the hill | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005140.mp4 | 3 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A woman is driving her car towards a forest on top of the hill\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3006355 | [
"3006355_00.jpg",
"3006355_01.jpg",
"3006355_02.jpg",
"3006355_03.jpg",
"3006355_04.jpg",
"3006355_05.jpg",
"3006355_06.jpg",
"3006355_07.jpg",
"3006355_08.jpg",
"3006355_09.jpg",
"3006355_10.jpg",
"3006355_11.jpg",
"3006355_12.jpg",
"3006355_13.jpg",
"3006355_14.jpg",
"3006355_15.jpg"
] | lofi hip hop music video, cinematic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006355.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 \"lofi hip hop music video, 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: 2\n"
}
] |
3000934 | [
"3000934_00.jpg",
"3000934_01.jpg",
"3000934_02.jpg",
"3000934_03.jpg",
"3000934_04.jpg",
"3000934_05.jpg",
"3000934_06.jpg",
"3000934_07.jpg",
"3000934_08.jpg",
"3000934_09.jpg",
"3000934_10.jpg",
"3000934_11.jpg",
"3000934_12.jpg",
"3000934_13.jpg",
"3000934_14.jpg",
"3000934_15.jpg"
] | a pony tripping on psychedelic mushrooms while standing in a field of giant mushrooms. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000934.mp4 | 2 | 1 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a pony tripping on psychedelic mushrooms while standing in a field of giant mushrooms.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
3005267 | [
"3005267_00.jpg",
"3005267_01.jpg",
"3005267_02.jpg",
"3005267_03.jpg",
"3005267_04.jpg",
"3005267_05.jpg",
"3005267_06.jpg",
"3005267_07.jpg",
"3005267_08.jpg",
"3005267_09.jpg",
"3005267_10.jpg",
"3005267_11.jpg",
"3005267_12.jpg",
"3005267_13.jpg",
"3005267_14.jpg",
"3005267_15.jpg"
] | A clever explorer, after much thought, finds the answer and successfully opens the chest. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005267.mp4 | 3 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A clever explorer, after much thought, finds the answer and successfully opens the chest.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
6000710 | [
"6000710_00.jpg",
"6000710_01.jpg",
"6000710_02.jpg",
"6000710_03.jpg",
"6000710_04.jpg",
"6000710_05.jpg",
"6000710_06.jpg",
"6000710_07.jpg",
"6000710_08.jpg",
"6000710_09.jpg",
"6000710_10.jpg",
"6000710_11.jpg",
"6000710_12.jpg",
"6000710_13.jpg",
"6000710_14.jpg",
"6000710_15.jpg"
] | a living room with straight wooden slats and a lan walking beside | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000710.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 living room with straight wooden slats and a lan walking beside\",\nall the frames of video are as 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"
}
] |
3000400 | [
"3000400_00.jpg",
"3000400_01.jpg",
"3000400_02.jpg",
"3000400_03.jpg",
"3000400_04.jpg",
"3000400_05.jpg",
"3000400_06.jpg",
"3000400_07.jpg",
"3000400_08.jpg",
"3000400_09.jpg",
"3000400_10.jpg",
"3000400_11.jpg",
"3000400_12.jpg",
"3000400_13.jpg",
"3000400_14.jpg",
"3000400_15.jpg"
] | a sad man rides a train and looks out the window | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000400.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 sad man rides a train and looks out 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: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
0002371 | [
"0002371_00.jpg",
"0002371_01.jpg",
"0002371_02.jpg",
"0002371_03.jpg",
"0002371_04.jpg",
"0002371_05.jpg",
"0002371_06.jpg",
"0002371_07.jpg",
"0002371_08.jpg",
"0002371_09.jpg",
"0002371_10.jpg",
"0002371_11.jpg",
"0002371_12.jpg",
"0002371_13.jpg",
"0002371_14.jpg",
"0002371_15.jpg",
"0002371_16.jpg",
"0002371_17.jpg",
"0002371_18.jpg",
"0002371_19.jpg",
"0002371_20.jpg",
"0002371_21.jpg",
"0002371_22.jpg",
"0002371_23.jpg"
] | Many photovoltaic panels installed on the roofs of industrial warehouses, seen flying in low flight very, very fast over them towards the horizon and leaving them behind, in very real images | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002371.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 \"Many photovoltaic panels installed on the roofs of industrial warehouses, seen flying in low flight very, very fast over them towards the horizon and leaving them behind, in very real images\",\nall the 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"
}
] |
0003793 | [
"0003793_00.jpg",
"0003793_01.jpg",
"0003793_02.jpg",
"0003793_03.jpg",
"0003793_04.jpg",
"0003793_05.jpg",
"0003793_06.jpg",
"0003793_07.jpg",
"0003793_08.jpg",
"0003793_09.jpg",
"0003793_10.jpg",
"0003793_11.jpg",
"0003793_12.jpg",
"0003793_13.jpg",
"0003793_14.jpg",
"0003793_15.jpg",
"0003793_16.jpg",
"0003793_17.jpg",
"0003793_18.jpg",
"0003793_19.jpg",
"0003793_20.jpg",
"0003793_21.jpg",
"0003793_22.jpg",
"0003793_23.jpg"
] | :bike riding downhill through narrow streets,through a jungle and then diving into a waterfall, GoPro pov | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003793.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 \":bike riding downhill through narrow streets,through a jungle and then diving into a waterfall, GoPro pov\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
6001612 | [
"6001612_00.jpg",
"6001612_01.jpg",
"6001612_02.jpg",
"6001612_03.jpg",
"6001612_04.jpg",
"6001612_05.jpg",
"6001612_06.jpg",
"6001612_07.jpg",
"6001612_08.jpg",
"6001612_09.jpg",
"6001612_10.jpg",
"6001612_11.jpg",
"6001612_12.jpg",
"6001612_13.jpg",
"6001612_14.jpg",
"6001612_15.jpg"
] | A lovely and gentle snake, painted in a simple but highly textured style | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001612.mp4 | 3 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A lovely and gentle snake, painted in a simple but highly textured style\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2004551 | [
"2004551_00.jpg",
"2004551_01.jpg",
"2004551_02.jpg",
"2004551_03.jpg",
"2004551_04.jpg",
"2004551_05.jpg",
"2004551_06.jpg",
"2004551_07.jpg",
"2004551_08.jpg",
"2004551_09.jpg",
"2004551_10.jpg",
"2004551_11.jpg",
"2004551_12.jpg",
"2004551_13.jpg",
"2004551_14.jpg",
"2004551_15.jpg"
] | 3 men on a video call on phone | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004551.mp4 | 2 | 2 | 2 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"3 men on a video call on phone\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
5000806 | [
"5000806_00.jpg",
"5000806_01.jpg",
"5000806_02.jpg",
"5000806_03.jpg",
"5000806_04.jpg",
"5000806_05.jpg",
"5000806_06.jpg",
"5000806_07.jpg",
"5000806_08.jpg",
"5000806_09.jpg",
"5000806_10.jpg",
"5000806_11.jpg",
"5000806_12.jpg",
"5000806_13.jpg",
"5000806_14.jpg",
"5000806_15.jpg"
] | Make the clouds in the sky behind the female character move, and have the female character tilt her head slightly forward. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000806.mp4 | 2 | 3 | 2 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Make the clouds in the sky behind the female character move, and have the female character tilt her head slightly forward.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
1004179 | [
"1004179_00.jpg",
"1004179_01.jpg",
"1004179_02.jpg",
"1004179_03.jpg",
"1004179_04.jpg",
"1004179_05.jpg",
"1004179_06.jpg",
"1004179_07.jpg",
"1004179_08.jpg",
"1004179_09.jpg",
"1004179_10.jpg",
"1004179_11.jpg",
"1004179_12.jpg",
"1004179_13.jpg",
"1004179_14.jpg",
"1004179_15.jpg"
] | film still of bruce wayne waking up at 5 am in 2024 movie scene | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004179.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 \"film still of bruce wayne waking up at 5 am in 2024 movie scene\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
3000402 | [
"3000402_00.jpg",
"3000402_01.jpg",
"3000402_02.jpg",
"3000402_03.jpg",
"3000402_04.jpg",
"3000402_05.jpg",
"3000402_06.jpg",
"3000402_07.jpg",
"3000402_08.jpg",
"3000402_09.jpg",
"3000402_10.jpg",
"3000402_11.jpg",
"3000402_12.jpg",
"3000402_13.jpg",
"3000402_14.jpg",
"3000402_15.jpg"
] | a bicycle leaning against a tree | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000402.mp4 | 2 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a bicycle leaning against 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: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2006234 | [
"2006234_00.jpg",
"2006234_01.jpg",
"2006234_02.jpg",
"2006234_03.jpg",
"2006234_04.jpg",
"2006234_05.jpg",
"2006234_06.jpg",
"2006234_07.jpg",
"2006234_08.jpg",
"2006234_09.jpg",
"2006234_10.jpg",
"2006234_11.jpg",
"2006234_12.jpg",
"2006234_13.jpg",
"2006234_14.jpg",
"2006234_15.jpg"
] | A blurry black dot in the middle of the desert, 4k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006234.mp4 | 3 | 3 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A blurry black dot in the middle of the desert, 4k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
4001053 | [
"4001053_00.jpg",
"4001053_01.jpg",
"4001053_02.jpg",
"4001053_03.jpg",
"4001053_04.jpg",
"4001053_05.jpg",
"4001053_06.jpg",
"4001053_07.jpg",
"4001053_08.jpg",
"4001053_09.jpg",
"4001053_10.jpg",
"4001053_11.jpg",
"4001053_12.jpg",
"4001053_13.jpg",
"4001053_14.jpg",
"4001053_15.jpg"
] | Steampunk aesthetics merge with analog computing artifacts, projecting Lady Palutena as a powerful being in an extraordinary world. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001053.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 \"Steampunk aesthetics merge with analog computing artifacts, projecting Lady Palutena as a powerful being in an extraordinary 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: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
2000499 | [
"2000499_00.jpg",
"2000499_01.jpg",
"2000499_02.jpg",
"2000499_03.jpg",
"2000499_04.jpg",
"2000499_05.jpg",
"2000499_06.jpg",
"2000499_07.jpg",
"2000499_08.jpg",
"2000499_09.jpg",
"2000499_10.jpg",
"2000499_11.jpg",
"2000499_12.jpg",
"2000499_13.jpg",
"2000499_14.jpg",
"2000499_15.jpg"
] | a dog chases after a red car | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000499.mp4 | 3 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a dog chases after a red car\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
6001173 | [
"6001173_00.jpg",
"6001173_01.jpg",
"6001173_02.jpg",
"6001173_03.jpg",
"6001173_04.jpg",
"6001173_05.jpg",
"6001173_06.jpg",
"6001173_07.jpg",
"6001173_08.jpg",
"6001173_09.jpg",
"6001173_10.jpg",
"6001173_11.jpg",
"6001173_12.jpg",
"6001173_13.jpg",
"6001173_14.jpg",
"6001173_15.jpg"
] | bedsheet on a dog, at the beach | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001173.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 \"bedsheet on a dog, at the beach\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2006630 | [
"2006630_00.jpg",
"2006630_01.jpg",
"2006630_02.jpg",
"2006630_03.jpg",
"2006630_04.jpg",
"2006630_05.jpg",
"2006630_06.jpg",
"2006630_07.jpg",
"2006630_08.jpg",
"2006630_09.jpg",
"2006630_10.jpg",
"2006630_11.jpg",
"2006630_12.jpg",
"2006630_13.jpg",
"2006630_14.jpg",
"2006630_15.jpg"
] | Two strangers dressed in black stand opposite each other while having a conversation | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006630.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 \"Two strangers dressed in black stand opposite each other while having a conversation\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
6004632 | [
"6004632_00.jpg",
"6004632_01.jpg",
"6004632_02.jpg",
"6004632_03.jpg",
"6004632_04.jpg",
"6004632_05.jpg",
"6004632_06.jpg",
"6004632_07.jpg",
"6004632_08.jpg",
"6004632_09.jpg",
"6004632_10.jpg",
"6004632_11.jpg",
"6004632_12.jpg",
"6004632_13.jpg",
"6004632_14.jpg",
"6004632_15.jpg"
] | the fall of an asteroid to earth | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004632.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"the fall of an asteroid to earth\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2002488 | [
"2002488_00.jpg",
"2002488_01.jpg",
"2002488_02.jpg",
"2002488_03.jpg",
"2002488_04.jpg",
"2002488_05.jpg",
"2002488_06.jpg",
"2002488_07.jpg",
"2002488_08.jpg",
"2002488_09.jpg",
"2002488_10.jpg",
"2002488_11.jpg",
"2002488_12.jpg",
"2002488_13.jpg",
"2002488_14.jpg",
"2002488_15.jpg"
] | Invoker from Dota 2 casts spells very quickly using a sphere of fire, video from afar | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002488.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 \"Invoker from Dota 2 casts spells very quickly using a sphere of fire, video from afar\",\nall the frames of video are as 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"
}
] |
8000002 | [
"8000002_00.jpg",
"8000002_01.jpg",
"8000002_02.jpg",
"8000002_03.jpg",
"8000002_04.jpg",
"8000002_05.jpg",
"8000002_06.jpg",
"8000002_07.jpg",
"8000002_08.jpg",
"8000002_09.jpg",
"8000002_10.jpg",
"8000002_11.jpg",
"8000002_12.jpg",
"8000002_13.jpg",
"8000002_14.jpg",
"8000002_15.jpg",
"8000002_16.jpg",
"8000002_17.jpg",
"8000002_18.jpg",
"8000002_19.jpg",
"8000002_20.jpg",
"8000002_21.jpg",
"8000002_22.jpg",
"8000002_23.jpg"
] | seeing the color pattern of acquired savant syndrome | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000002.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 \"seeing the color pattern of acquired savant syndrome\",\nall the 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"
}
] |
1002544 | [
"1002544_00.jpg",
"1002544_01.jpg",
"1002544_02.jpg",
"1002544_03.jpg",
"1002544_04.jpg",
"1002544_05.jpg",
"1002544_06.jpg",
"1002544_07.jpg",
"1002544_08.jpg",
"1002544_09.jpg",
"1002544_10.jpg",
"1002544_11.jpg",
"1002544_12.jpg",
"1002544_13.jpg",
"1002544_14.jpg",
"1002544_15.jpg"
] | Animate Mother Teresa sitting with poor people on street. Close up, high definition, animation youtube shots | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002544.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 \"Animate Mother Teresa sitting with poor people on street. Close up, high definition, animation youtube shots\",\nall the frames of video are as 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"
}
] |
7000681 | [
"7000681_00.jpg",
"7000681_01.jpg",
"7000681_02.jpg",
"7000681_03.jpg",
"7000681_04.jpg",
"7000681_05.jpg",
"7000681_06.jpg",
"7000681_07.jpg"
] | Boy getting into the boat with big smiles. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000681.mp4 | 2 | 2 | 3 | 0 | 3 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Boy getting into the boat with big smiles.\",\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"
}
] |
8000988 | [
"8000988_00.jpg",
"8000988_01.jpg",
"8000988_02.jpg",
"8000988_03.jpg",
"8000988_04.jpg",
"8000988_05.jpg",
"8000988_06.jpg",
"8000988_07.jpg",
"8000988_08.jpg",
"8000988_09.jpg",
"8000988_10.jpg",
"8000988_11.jpg",
"8000988_12.jpg",
"8000988_13.jpg",
"8000988_14.jpg",
"8000988_15.jpg",
"8000988_16.jpg",
"8000988_17.jpg",
"8000988_18.jpg",
"8000988_19.jpg",
"8000988_20.jpg",
"8000988_21.jpg",
"8000988_22.jpg",
"8000988_23.jpg"
] | moon rise up from the bottom Message: Happy Festival (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000988.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 \"moon rise up from the bottom Message: Happy Festival (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
6003069 | [
"6003069_00.jpg",
"6003069_01.jpg",
"6003069_02.jpg",
"6003069_03.jpg",
"6003069_04.jpg",
"6003069_05.jpg",
"6003069_06.jpg",
"6003069_07.jpg",
"6003069_08.jpg",
"6003069_09.jpg",
"6003069_10.jpg",
"6003069_11.jpg",
"6003069_12.jpg",
"6003069_13.jpg",
"6003069_14.jpg",
"6003069_15.jpg"
] | mushroom with face pink and white visuals | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003069.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 \"mushroom with face pink and white visuals\",\nall the frames of video are as 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"
}
] |
8001315 | [
"8001315_00.jpg",
"8001315_01.jpg",
"8001315_02.jpg",
"8001315_03.jpg",
"8001315_04.jpg",
"8001315_05.jpg",
"8001315_06.jpg",
"8001315_07.jpg",
"8001315_08.jpg",
"8001315_09.jpg",
"8001315_10.jpg",
"8001315_11.jpg",
"8001315_12.jpg",
"8001315_13.jpg",
"8001315_14.jpg",
"8001315_15.jpg",
"8001315_16.jpg",
"8001315_17.jpg",
"8001315_18.jpg",
"8001315_19.jpg",
"8001315_20.jpg",
"8001315_21.jpg",
"8001315_22.jpg",
"8001315_23.jpg"
] | A smiling teenager wondering about a strange event | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8001315.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 smiling teenager wondering about a strange event\",\nall the 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"
}
] |
1000555 | [
"1000555_00.jpg",
"1000555_01.jpg",
"1000555_02.jpg",
"1000555_03.jpg",
"1000555_04.jpg",
"1000555_05.jpg",
"1000555_06.jpg",
"1000555_07.jpg",
"1000555_08.jpg",
"1000555_09.jpg",
"1000555_10.jpg",
"1000555_11.jpg",
"1000555_12.jpg",
"1000555_13.jpg",
"1000555_14.jpg",
"1000555_15.jpg"
] | a beauty crying and her tears like pearls | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000555.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 beauty crying and her tears like pearls\",\nall the frames of video are as 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"
}
] |
1003054 | [
"1003054_00.jpg",
"1003054_01.jpg",
"1003054_02.jpg",
"1003054_03.jpg",
"1003054_04.jpg",
"1003054_05.jpg",
"1003054_06.jpg",
"1003054_07.jpg",
"1003054_08.jpg",
"1003054_09.jpg",
"1003054_10.jpg",
"1003054_11.jpg",
"1003054_12.jpg",
"1003054_13.jpg",
"1003054_14.jpg",
"1003054_15.jpg"
] | a plane traveling from Denmark to Ethiopia on a globe | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003054.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 plane traveling from Denmark to Ethiopia on a globe\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
3004223 | [
"3004223_00.jpg",
"3004223_01.jpg",
"3004223_02.jpg",
"3004223_03.jpg",
"3004223_04.jpg",
"3004223_05.jpg",
"3004223_06.jpg",
"3004223_07.jpg",
"3004223_08.jpg",
"3004223_09.jpg",
"3004223_10.jpg",
"3004223_11.jpg",
"3004223_12.jpg",
"3004223_13.jpg",
"3004223_14.jpg",
"3004223_15.jpg"
] | a detailed robot is running thruw a desert with skyscrapers | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004223.mp4 | 1 | 1 | 3 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a detailed robot is running thruw a desert with skyscrapers\",\nall the frames of video are as 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"
}
] |
9000059 | [
"9000059_00.jpg",
"9000059_01.jpg",
"9000059_02.jpg",
"9000059_03.jpg",
"9000059_04.jpg",
"9000059_05.jpg",
"9000059_06.jpg",
"9000059_07.jpg",
"9000059_08.jpg",
"9000059_09.jpg",
"9000059_10.jpg",
"9000059_11.jpg",
"9000059_12.jpg",
"9000059_13.jpg",
"9000059_14.jpg",
"9000059_15.jpg",
"9000059_16.jpg",
"9000059_17.jpg",
"9000059_18.jpg",
"9000059_19.jpg",
"9000059_20.jpg",
"9000059_21.jpg",
"9000059_22.jpg",
"9000059_23.jpg"
] | make the Eiffel Tower sink then make it emerge all radiant | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000059.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 \"make the Eiffel Tower sink then make it emerge all radiant\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
3001014 | [
"3001014_00.jpg",
"3001014_01.jpg",
"3001014_02.jpg",
"3001014_03.jpg",
"3001014_04.jpg",
"3001014_05.jpg",
"3001014_06.jpg",
"3001014_07.jpg",
"3001014_08.jpg",
"3001014_09.jpg",
"3001014_10.jpg",
"3001014_11.jpg",
"3001014_12.jpg",
"3001014_13.jpg",
"3001014_14.jpg",
"3001014_15.jpg"
] | someone sitting in traffic at night telling you that they are allergic to traffic while sneezing | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001014.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 \"someone sitting in traffic at night telling you that they are allergic to traffic while sneezing\",\nall the frames of video are as 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"
}
] |
2004091 | [
"2004091_00.jpg",
"2004091_01.jpg",
"2004091_02.jpg",
"2004091_03.jpg",
"2004091_04.jpg",
"2004091_05.jpg",
"2004091_06.jpg",
"2004091_07.jpg",
"2004091_08.jpg",
"2004091_09.jpg",
"2004091_10.jpg",
"2004091_11.jpg",
"2004091_12.jpg",
"2004091_13.jpg",
"2004091_14.jpg",
"2004091_15.jpg"
] | one cat look like a doctor,and wear white coat ,she is look forward,Background in a hospital. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004091.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 \"one cat look like a doctor,and wear white coat ,she is look forward,Background in a hospital.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\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"
] | Visualize a chilling and urgent scene of a nuclear factory alarm blaring in black and white. Capture the intensity of the moment by focusing on the alarm itself, its soundwaves echoing through the air. Use stark contrasts of light and shadows to convey a sense of urgency and danger. Show industrial elements of the factory in the background, emphasizing the ominous atmosphere. This prompt challenges you to evoke a feeling of crisis and tension through the visual representation of a nuclear factory alarm in a monochromatic setting | 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 \"Visualize a chilling and urgent scene of a nuclear factory alarm blaring in black and white. Capture the intensity of the moment by focusing on the alarm itself, its soundwaves echoing through the air. Use stark contrasts of light and shadows to convey a sense of urgency and danger. Show industrial elements of the factory in the background, emphasizing the ominous atmosphere. This prompt challenges you to evoke a feeling of crisis and tension through the visual representation of a nuclear factory alarm in a monochromatic setting\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
3004196 | [
"3004196_00.jpg",
"3004196_01.jpg",
"3004196_02.jpg",
"3004196_03.jpg",
"3004196_04.jpg",
"3004196_05.jpg",
"3004196_06.jpg",
"3004196_07.jpg",
"3004196_08.jpg",
"3004196_09.jpg",
"3004196_10.jpg",
"3004196_11.jpg",
"3004196_12.jpg",
"3004196_13.jpg",
"3004196_14.jpg",
"3004196_15.jpg"
] | cute kid wearing funny glasses makes his all colleagues fun of him | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004196.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 \"cute kid wearing funny glasses makes his all colleagues fun of him\",\nall the frames of video are as 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"
}
] |
9000141 | [
"9000141_00.jpg",
"9000141_01.jpg",
"9000141_02.jpg",
"9000141_03.jpg",
"9000141_04.jpg",
"9000141_05.jpg",
"9000141_06.jpg",
"9000141_07.jpg",
"9000141_08.jpg",
"9000141_09.jpg",
"9000141_10.jpg",
"9000141_11.jpg",
"9000141_12.jpg",
"9000141_13.jpg",
"9000141_14.jpg",
"9000141_15.jpg",
"9000141_16.jpg",
"9000141_17.jpg",
"9000141_18.jpg",
"9000141_19.jpg",
"9000141_20.jpg",
"9000141_21.jpg",
"9000141_22.jpg",
"9000141_23.jpg"
] | disheveled little girl looking at herself in the mirror with comb in hand, straight hair, red dress,4k | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000141.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 \"disheveled little girl looking at herself in the mirror with comb in hand, straight hair, red dress,4k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
4001709 | [
"4001709_00.jpg",
"4001709_01.jpg",
"4001709_02.jpg",
"4001709_03.jpg",
"4001709_04.jpg",
"4001709_05.jpg",
"4001709_06.jpg",
"4001709_07.jpg",
"4001709_08.jpg",
"4001709_09.jpg",
"4001709_10.jpg",
"4001709_11.jpg",
"4001709_12.jpg",
"4001709_13.jpg",
"4001709_14.jpg",
"4001709_15.jpg"
] | Harry is driving a sports car | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001709.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 \"Harry is driving a sports car\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
6004792 | [
"6004792_00.jpg",
"6004792_01.jpg",
"6004792_02.jpg",
"6004792_03.jpg",
"6004792_04.jpg",
"6004792_05.jpg",
"6004792_06.jpg",
"6004792_07.jpg",
"6004792_08.jpg",
"6004792_09.jpg",
"6004792_10.jpg",
"6004792_11.jpg",
"6004792_12.jpg",
"6004792_13.jpg",
"6004792_14.jpg",
"6004792_15.jpg"
] | A helpful electric eel who shares his power | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6004792.mp4 | 1 | 2 | 2 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A helpful electric eel who shares his power\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
3005416 | [
"3005416_00.jpg",
"3005416_01.jpg",
"3005416_02.jpg",
"3005416_03.jpg",
"3005416_04.jpg",
"3005416_05.jpg",
"3005416_06.jpg",
"3005416_07.jpg",
"3005416_08.jpg",
"3005416_09.jpg",
"3005416_10.jpg",
"3005416_11.jpg",
"3005416_12.jpg",
"3005416_13.jpg",
"3005416_14.jpg",
"3005416_15.jpg"
] | driving ferrari in the mountain tops with a lake vaporwave | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005416.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 \"driving ferrari in the mountain tops with a lake vaporwave\",\nall the frames of video are as 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"
}
] |
1001537 | [
"1001537_00.jpg",
"1001537_01.jpg",
"1001537_02.jpg",
"1001537_03.jpg",
"1001537_04.jpg",
"1001537_05.jpg",
"1001537_06.jpg",
"1001537_07.jpg",
"1001537_08.jpg",
"1001537_09.jpg",
"1001537_10.jpg",
"1001537_11.jpg",
"1001537_12.jpg",
"1001537_13.jpg",
"1001537_14.jpg",
"1001537_15.jpg"
] | Futuristic laptop in 22nd century, octane render, 4K, 8K, | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001537.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 \"Futuristic laptop in 22nd century, octane render, 4K, 8K,\",\nall the frames of video are as 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"
}
] |
7000067 | [
"7000067_00.jpg",
"7000067_01.jpg",
"7000067_02.jpg",
"7000067_03.jpg",
"7000067_04.jpg",
"7000067_05.jpg",
"7000067_06.jpg",
"7000067_07.jpg"
] | firing logo in amazon with the name of akhond | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000067.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 \"firing logo in amazon with the name of akhond\",\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"
}
] |
1001714 | [
"1001714_00.jpg",
"1001714_01.jpg",
"1001714_02.jpg",
"1001714_03.jpg",
"1001714_04.jpg",
"1001714_05.jpg",
"1001714_06.jpg",
"1001714_07.jpg",
"1001714_08.jpg",
"1001714_09.jpg",
"1001714_10.jpg",
"1001714_11.jpg",
"1001714_12.jpg",
"1001714_13.jpg",
"1001714_14.jpg",
"1001714_15.jpg"
] | underwater statue of goddess Athena, overgrown by coral, mystical cinematic scene | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001714.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 \"underwater statue of goddess Athena, overgrown by coral, mystical cinematic scene\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
4003610 | [
"4003610_00.jpg",
"4003610_01.jpg",
"4003610_02.jpg",
"4003610_03.jpg",
"4003610_04.jpg",
"4003610_05.jpg",
"4003610_06.jpg",
"4003610_07.jpg",
"4003610_08.jpg",
"4003610_09.jpg",
"4003610_10.jpg",
"4003610_11.jpg",
"4003610_12.jpg",
"4003610_13.jpg",
"4003610_14.jpg",
"4003610_15.jpg"
] | Red ginseng. Coffee. Mug a promotional material. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4003610.mp4 | 3 | 2 | 2 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Red ginseng. Coffee. Mug a promotional material.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
1004755 | [
"1004755_00.jpg",
"1004755_01.jpg",
"1004755_02.jpg",
"1004755_03.jpg",
"1004755_04.jpg",
"1004755_05.jpg",
"1004755_06.jpg",
"1004755_07.jpg",
"1004755_08.jpg",
"1004755_09.jpg",
"1004755_10.jpg",
"1004755_11.jpg",
"1004755_12.jpg",
"1004755_13.jpg",
"1004755_14.jpg",
"1004755_15.jpg"
] | two cute little girls friends talking | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004755.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 \"two cute little girls friends talking\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"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"
}
] |
0006491 | [
"0006491_00.jpg",
"0006491_01.jpg",
"0006491_02.jpg",
"0006491_03.jpg",
"0006491_04.jpg",
"0006491_05.jpg",
"0006491_06.jpg",
"0006491_07.jpg",
"0006491_08.jpg",
"0006491_09.jpg",
"0006491_10.jpg",
"0006491_11.jpg",
"0006491_12.jpg",
"0006491_13.jpg",
"0006491_14.jpg",
"0006491_15.jpg",
"0006491_16.jpg",
"0006491_17.jpg",
"0006491_18.jpg",
"0006491_19.jpg",
"0006491_20.jpg",
"0006491_21.jpg",
"0006491_22.jpg",
"0006491_23.jpg"
] | mic in hand and singing song | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006491.mp4 | 3 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"mic in hand and singing song\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2001704 | [
"2001704_00.jpg",
"2001704_01.jpg",
"2001704_02.jpg",
"2001704_03.jpg",
"2001704_04.jpg",
"2001704_05.jpg",
"2001704_06.jpg",
"2001704_07.jpg",
"2001704_08.jpg",
"2001704_09.jpg",
"2001704_10.jpg",
"2001704_11.jpg",
"2001704_12.jpg",
"2001704_13.jpg",
"2001704_14.jpg",
"2001704_15.jpg"
] | Car, stopped in front of a macabre, realistic, detailed forest, | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001704.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 \"Car, stopped in front of a macabre, realistic, detailed 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> "
},
{
"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"
}
] |
7003883 | [
"7003883_00.jpg",
"7003883_01.jpg",
"7003883_02.jpg",
"7003883_03.jpg",
"7003883_04.jpg",
"7003883_05.jpg",
"7003883_06.jpg",
"7003883_07.jpg"
] | got the food covered in the kitchen | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003883.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 \"got the food covered in the kitchen\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2005213 | [
"2005213_00.jpg",
"2005213_01.jpg",
"2005213_02.jpg",
"2005213_03.jpg",
"2005213_04.jpg",
"2005213_05.jpg",
"2005213_06.jpg",
"2005213_07.jpg",
"2005213_08.jpg",
"2005213_09.jpg",
"2005213_10.jpg",
"2005213_11.jpg",
"2005213_12.jpg",
"2005213_13.jpg",
"2005213_14.jpg",
"2005213_15.jpg"
] | Describing the bizarre cities on Mars requires a video that combines elements of science fiction and creativity. There are aliens walking around Transparent domes: To combat the weaker atmosphere and extreme temperatures on Mars, cities could be covered with huge transparent domes to maintain temperatures and provide oxygen. Such a design not only protects residents, but also allows them to appreciate the beauty of the starry sky. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005213.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 \"Describing the bizarre cities on Mars requires a video that combines elements of science fiction and creativity. There are aliens walking around Transparent domes: To combat the weaker atmosphere and extreme temperatures on Mars, cities could be covered with huge transparent domes to maintain temperatures and provide oxygen. Such a design not only protects residents, but also allows them to appreciate the beauty of the starry sky.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
2001118 | [
"2001118_00.jpg",
"2001118_01.jpg",
"2001118_02.jpg",
"2001118_03.jpg",
"2001118_04.jpg",
"2001118_05.jpg",
"2001118_06.jpg",
"2001118_07.jpg",
"2001118_08.jpg",
"2001118_09.jpg",
"2001118_10.jpg",
"2001118_11.jpg",
"2001118_12.jpg",
"2001118_13.jpg",
"2001118_14.jpg",
"2001118_15.jpg"
] | In the movie footage, I saw a huge spider crouching on the wall. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001118.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 \"In the movie footage, I saw a huge spider crouching on the wall.\",\nall the frames of video are as 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"
}
] |
8002095 | [
"8002095_00.jpg",
"8002095_01.jpg",
"8002095_02.jpg",
"8002095_03.jpg",
"8002095_04.jpg",
"8002095_05.jpg",
"8002095_06.jpg",
"8002095_07.jpg",
"8002095_08.jpg",
"8002095_09.jpg",
"8002095_10.jpg",
"8002095_11.jpg",
"8002095_12.jpg",
"8002095_13.jpg",
"8002095_14.jpg",
"8002095_15.jpg",
"8002095_16.jpg",
"8002095_17.jpg",
"8002095_18.jpg",
"8002095_19.jpg",
"8002095_20.jpg",
"8002095_21.jpg",
"8002095_22.jpg",
"8002095_23.jpg"
] | kenyan masai warrior in full tribal gear, jumping high into the air in the ngong hills, spear and shield in hand | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002095.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 \"kenyan masai warrior in full tribal gear, jumping high into the air in the ngong hills, spear and shield in hand\",\nall the 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"
}
] |
6000405 | [
"6000405_00.jpg",
"6000405_01.jpg",
"6000405_02.jpg",
"6000405_03.jpg",
"6000405_04.jpg",
"6000405_05.jpg",
"6000405_06.jpg",
"6000405_07.jpg",
"6000405_08.jpg",
"6000405_09.jpg",
"6000405_10.jpg",
"6000405_11.jpg",
"6000405_12.jpg",
"6000405_13.jpg",
"6000405_14.jpg",
"6000405_15.jpg"
] | image of ancient roman olympic stadium | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000405.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 \"image of ancient roman olympic stadium\",\nall the frames of video are as 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"
}
] |
7001718 | [
"7001718_00.jpg",
"7001718_01.jpg",
"7001718_02.jpg",
"7001718_03.jpg",
"7001718_04.jpg",
"7001718_05.jpg",
"7001718_06.jpg",
"7001718_07.jpg"
] | create a beating heart with technological elements | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001718.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 \"create a beating heart with technological elements\",\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"
}
] |
2006658 | [
"2006658_00.jpg",
"2006658_01.jpg",
"2006658_02.jpg",
"2006658_03.jpg",
"2006658_04.jpg",
"2006658_05.jpg",
"2006658_06.jpg",
"2006658_07.jpg",
"2006658_08.jpg",
"2006658_09.jpg",
"2006658_10.jpg",
"2006658_11.jpg",
"2006658_12.jpg",
"2006658_13.jpg",
"2006658_14.jpg",
"2006658_15.jpg"
] | child support, court, 24 fps, movement 5, cinematic, photorealistic | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006658.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 \"child support, court, 24 fps, movement 5, cinematic, 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> "
},
{
"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"
}
] |
6002185 | [
"6002185_00.jpg",
"6002185_01.jpg",
"6002185_02.jpg",
"6002185_03.jpg",
"6002185_04.jpg",
"6002185_05.jpg",
"6002185_06.jpg",
"6002185_07.jpg",
"6002185_08.jpg",
"6002185_09.jpg",
"6002185_10.jpg",
"6002185_11.jpg",
"6002185_12.jpg",
"6002185_13.jpg",
"6002185_14.jpg",
"6002185_15.jpg"
] | Pixar cartoon Cinema 4D style of Goddess GANESHA, in the style of a Disney Pixar character, with intricate and pastel color paper cuts, sculpture paper, Dark background, Suitable as a mobile wallpaper | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002185.mp4 | 1 | 2 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Pixar cartoon Cinema 4D style of Goddess GANESHA, in the style of a Disney Pixar character, with intricate and pastel color paper cuts, sculpture paper, Dark background, Suitable as a mobile wallpaper\",\nall the frames of video are as 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"
}
] |
7000087 | [
"7000087_00.jpg",
"7000087_01.jpg",
"7000087_02.jpg",
"7000087_03.jpg",
"7000087_04.jpg",
"7000087_05.jpg",
"7000087_06.jpg",
"7000087_07.jpg"
] | a scene outside a citadel gate from the Eastern Han Dynasty. An elderly general, dressed in traditional Chinese ancient armor, rides a horse and is wearing modern iPhone earphones, facing the city gate. Behind him, a formation of soldiers also faces the gate and stands at attention. Above, atop the city gate, an elderly man plays the guzheng, with his two armed attendants holding automatic guns, all of them facing and observing the general and soldiers below. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000087.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 scene outside a citadel gate from the Eastern Han Dynasty. An elderly general, dressed in traditional Chinese ancient armor, rides a horse and is wearing modern iPhone earphones, facing the city gate. Behind him, a formation of soldiers also faces the gate and stands at attention. Above, atop the city gate, an elderly man plays the guzheng, with his two armed attendants holding automatic guns, all of them facing and observing the general and soldiers below.\",\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"
}
] |
2004459 | [
"2004459_00.jpg",
"2004459_01.jpg",
"2004459_02.jpg",
"2004459_03.jpg",
"2004459_04.jpg",
"2004459_05.jpg",
"2004459_06.jpg",
"2004459_07.jpg",
"2004459_08.jpg",
"2004459_09.jpg",
"2004459_10.jpg",
"2004459_11.jpg",
"2004459_12.jpg",
"2004459_13.jpg",
"2004459_14.jpg",
"2004459_15.jpg"
] | cafeteria | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004459.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 \"cafeteria\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
2000552 | [
"2000552_00.jpg",
"2000552_01.jpg",
"2000552_02.jpg",
"2000552_03.jpg",
"2000552_04.jpg",
"2000552_05.jpg",
"2000552_06.jpg",
"2000552_07.jpg",
"2000552_08.jpg",
"2000552_09.jpg",
"2000552_10.jpg",
"2000552_11.jpg",
"2000552_12.jpg",
"2000552_13.jpg",
"2000552_14.jpg",
"2000552_15.jpg"
] | prompt: the lady of the lake, her arm clad in simmering shamite, held aloft, from the bosom of the water, the sword excalibur | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000552.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 \"prompt: the lady of the lake, her arm clad in simmering shamite, held aloft, from the bosom of the water, the sword excalibur\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
0001041 | [
"0001041_00.jpg",
"0001041_01.jpg",
"0001041_02.jpg",
"0001041_03.jpg",
"0001041_04.jpg",
"0001041_05.jpg",
"0001041_06.jpg",
"0001041_07.jpg",
"0001041_08.jpg",
"0001041_09.jpg",
"0001041_10.jpg",
"0001041_11.jpg",
"0001041_12.jpg",
"0001041_13.jpg",
"0001041_14.jpg",
"0001041_15.jpg",
"0001041_16.jpg",
"0001041_17.jpg",
"0001041_18.jpg",
"0001041_19.jpg",
"0001041_20.jpg",
"0001041_21.jpg",
"0001041_22.jpg",
"0001041_23.jpg"
] | A flying swallowtail butterfly, flower, high resolution, best quality | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001041.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 flying swallowtail butterfly, flower, high resolution, best quality\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
1003063 | [
"1003063_00.jpg",
"1003063_01.jpg",
"1003063_02.jpg",
"1003063_03.jpg",
"1003063_04.jpg",
"1003063_05.jpg",
"1003063_06.jpg",
"1003063_07.jpg",
"1003063_08.jpg",
"1003063_09.jpg",
"1003063_10.jpg",
"1003063_11.jpg",
"1003063_12.jpg",
"1003063_13.jpg",
"1003063_14.jpg",
"1003063_15.jpg"
] | A visual representation of the moral, displaying various challenging situations and clever solutions | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1003063.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 visual representation of the moral, displaying various challenging situations and clever solutions\",\nall the frames of video are as 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"
}
] |
8002246 | [
"8002246_00.jpg",
"8002246_01.jpg",
"8002246_02.jpg",
"8002246_03.jpg",
"8002246_04.jpg",
"8002246_05.jpg",
"8002246_06.jpg",
"8002246_07.jpg",
"8002246_08.jpg",
"8002246_09.jpg",
"8002246_10.jpg",
"8002246_11.jpg",
"8002246_12.jpg",
"8002246_13.jpg",
"8002246_14.jpg",
"8002246_15.jpg",
"8002246_16.jpg",
"8002246_17.jpg",
"8002246_18.jpg",
"8002246_19.jpg",
"8002246_20.jpg",
"8002246_21.jpg",
"8002246_22.jpg",
"8002246_23.jpg"
] | No prompt | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002246.mp4 | 1 | 1 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"No prompt\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
6000550 | [
"6000550_00.jpg",
"6000550_01.jpg",
"6000550_02.jpg",
"6000550_03.jpg",
"6000550_04.jpg",
"6000550_05.jpg",
"6000550_06.jpg",
"6000550_07.jpg",
"6000550_08.jpg",
"6000550_09.jpg",
"6000550_10.jpg",
"6000550_11.jpg",
"6000550_12.jpg",
"6000550_13.jpg",
"6000550_14.jpg",
"6000550_15.jpg"
] | black soccer player Message: MAS CLARENCE SEADORF (Font: MODERN) | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000550.mp4 | 3 | 2 | 2 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"black soccer player Message: MAS CLARENCE SEADORF (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n"
}
] |
5000264 | [
"5000264_00.jpg",
"5000264_01.jpg",
"5000264_02.jpg",
"5000264_03.jpg",
"5000264_04.jpg",
"5000264_05.jpg",
"5000264_06.jpg",
"5000264_07.jpg",
"5000264_08.jpg",
"5000264_09.jpg",
"5000264_10.jpg",
"5000264_11.jpg",
"5000264_12.jpg",
"5000264_13.jpg",
"5000264_14.jpg",
"5000264_15.jpg"
] | a man called NEW SUN is getting stronger and stronger | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000264.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 man called NEW SUN is getting stronger and stronger\",\nall the frames of video are as 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"
}
] |
0003992 | [
"0003992_00.jpg",
"0003992_01.jpg",
"0003992_02.jpg",
"0003992_03.jpg",
"0003992_04.jpg",
"0003992_05.jpg",
"0003992_06.jpg",
"0003992_07.jpg",
"0003992_08.jpg",
"0003992_09.jpg",
"0003992_10.jpg",
"0003992_11.jpg",
"0003992_12.jpg",
"0003992_13.jpg",
"0003992_14.jpg",
"0003992_15.jpg",
"0003992_16.jpg",
"0003992_17.jpg",
"0003992_18.jpg",
"0003992_19.jpg",
"0003992_20.jpg",
"0003992_21.jpg",
"0003992_22.jpg",
"0003992_23.jpg"
] | a village boy screaming in the mountain | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003992.mp4 | 3 | 3 | 3 | 0 | 1 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a village boy screaming in the mountain\",\nall the 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"
}
] |
2000488 | [
"2000488_00.jpg",
"2000488_01.jpg",
"2000488_02.jpg",
"2000488_03.jpg",
"2000488_04.jpg",
"2000488_05.jpg",
"2000488_06.jpg",
"2000488_07.jpg",
"2000488_08.jpg",
"2000488_09.jpg",
"2000488_10.jpg",
"2000488_11.jpg",
"2000488_12.jpg",
"2000488_13.jpg",
"2000488_14.jpg",
"2000488_15.jpg"
] | In the center of this celestial spectacle, Christ descends with majestic authority, surrounded by legions of warrior angels. His presence radiates power and grace, his figure outlined against the cosmic backdrop. The angels trail behind him, their armor gleaming in the celestial light as they follow their King into battle. | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000488.mp4 | 2 | 3 | 2 | 0 | 2 | [
{
"from": "human",
"value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"In the center of this celestial spectacle, Christ descends with majestic authority, surrounded by legions of warrior angels. His presence radiates power and grace, his figure outlined against the cosmic backdrop. The angels trail behind him, their armor gleaming in the celestial light as they follow their King into battle.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> "
},
{
"from": "gpt",
"value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n"
}
] |
4001309 | [
"4001309_00.jpg",
"4001309_01.jpg",
"4001309_02.jpg",
"4001309_03.jpg",
"4001309_04.jpg",
"4001309_05.jpg",
"4001309_06.jpg",
"4001309_07.jpg",
"4001309_08.jpg",
"4001309_09.jpg",
"4001309_10.jpg",
"4001309_11.jpg",
"4001309_12.jpg",
"4001309_13.jpg",
"4001309_14.jpg",
"4001309_15.jpg"
] | realistic giraffe in close up smile | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4001309.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 \"realistic giraffe in close up 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: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n"
}
] |
6003010 | [
"6003010_00.jpg",
"6003010_01.jpg",
"6003010_02.jpg",
"6003010_03.jpg",
"6003010_04.jpg",
"6003010_05.jpg",
"6003010_06.jpg",
"6003010_07.jpg",
"6003010_08.jpg",
"6003010_09.jpg",
"6003010_10.jpg",
"6003010_11.jpg",
"6003010_12.jpg",
"6003010_13.jpg",
"6003010_14.jpg",
"6003010_15.jpg"
] | a logo with candys in a forrest | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003010.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 logo with candys in a forrest\",\nall the frames of video are as 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"
}
] |
0002553 | [
"0002553_00.jpg",
"0002553_01.jpg",
"0002553_02.jpg",
"0002553_03.jpg",
"0002553_04.jpg",
"0002553_05.jpg",
"0002553_06.jpg",
"0002553_07.jpg",
"0002553_08.jpg",
"0002553_09.jpg",
"0002553_10.jpg",
"0002553_11.jpg",
"0002553_12.jpg",
"0002553_13.jpg",
"0002553_14.jpg",
"0002553_15.jpg",
"0002553_16.jpg",
"0002553_17.jpg",
"0002553_18.jpg",
"0002553_19.jpg",
"0002553_20.jpg",
"0002553_21.jpg",
"0002553_22.jpg",
"0002553_23.jpg"
] | santa claus sitting on a desk at work | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002553.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 \"santa claus sitting on a desk at work\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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"
}
] |
0006050 | [
"0006050_00.jpg",
"0006050_01.jpg",
"0006050_02.jpg",
"0006050_03.jpg",
"0006050_04.jpg",
"0006050_05.jpg",
"0006050_06.jpg",
"0006050_07.jpg",
"0006050_08.jpg",
"0006050_09.jpg",
"0006050_10.jpg",
"0006050_11.jpg",
"0006050_12.jpg",
"0006050_13.jpg",
"0006050_14.jpg",
"0006050_15.jpg",
"0006050_16.jpg",
"0006050_17.jpg",
"0006050_18.jpg",
"0006050_19.jpg",
"0006050_20.jpg",
"0006050_21.jpg",
"0006050_22.jpg",
"0006050_23.jpg"
] | The “mesaharati” sets out before the time for suhoor. He sometimes wears traditional clothing that reflects Moroccan heritage, such as the robe, hat, or red Moroccan fez, and travels through the streets of the city to wake people up to eat the suhoor meal before the dawn call to prayer | https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0006050.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 \"The “mesaharati” sets out before the time for suhoor. He sometimes wears traditional clothing that reflects Moroccan heritage, such as the robe, hat, or red Moroccan fez, and travels through the streets of the city to wake people up to eat the suhoor meal before the dawn call to prayer\",\nall the 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"
}
] |