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9000748
[ "9000748_00.jpg", "9000748_01.jpg", "9000748_02.jpg", "9000748_03.jpg", "9000748_04.jpg", "9000748_05.jpg", "9000748_06.jpg", "9000748_07.jpg", "9000748_08.jpg", "9000748_09.jpg", "9000748_10.jpg", "9000748_11.jpg", "9000748_12.jpg", "9000748_13.jpg", "9000748_14.jpg", "9000748_15.jpg", "9000748_16.jpg", "9000748_17.jpg", "9000748_18.jpg", "9000748_19.jpg", "9000748_20.jpg", "9000748_21.jpg", "9000748_22.jpg", "9000748_23.jpg" ]
a new england waterfall with turning leaves all around in digital format
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000748.mp4
2
2
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a new england waterfall with turning leaves all around in digital format\",\nall the 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" } ]
2002695
[ "2002695_00.jpg", "2002695_01.jpg", "2002695_02.jpg", "2002695_03.jpg", "2002695_04.jpg", "2002695_05.jpg", "2002695_06.jpg", "2002695_07.jpg", "2002695_08.jpg", "2002695_09.jpg", "2002695_10.jpg", "2002695_11.jpg", "2002695_12.jpg", "2002695_13.jpg", "2002695_14.jpg", "2002695_15.jpg" ]
giant living planet flesh sphere with a single eye and tentacles floats in space
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002695.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 \"giant living planet flesh sphere with a single eye and tentacles floats in space\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
7001662
[ "7001662_00.jpg", "7001662_01.jpg", "7001662_02.jpg", "7001662_03.jpg", "7001662_04.jpg", "7001662_05.jpg", "7001662_06.jpg", "7001662_07.jpg" ]
Stepan Bandera is dancing hard on the grave of Vladimir Putin around a bunch of people who are rejoicing at the cemetery, Russian prisoners of war are walking in the background and everyone is eating bacon
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001662.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 \"Stepan Bandera is dancing hard on the grave of Vladimir Putin around a bunch of people who are rejoicing at the cemetery, Russian prisoners of war are walking in the background and everyone is eating bacon\",\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" } ]
0004982
[ "0004982_00.jpg", "0004982_01.jpg", "0004982_02.jpg", "0004982_03.jpg", "0004982_04.jpg", "0004982_05.jpg", "0004982_06.jpg", "0004982_07.jpg", "0004982_08.jpg", "0004982_09.jpg", "0004982_10.jpg", "0004982_11.jpg", "0004982_12.jpg", "0004982_13.jpg", "0004982_14.jpg", "0004982_15.jpg", "0004982_16.jpg", "0004982_17.jpg", "0004982_18.jpg", "0004982_19.jpg", "0004982_20.jpg", "0004982_21.jpg", "0004982_22.jpg", "0004982_23.jpg" ]
intro for history fact video in 9:16 ratio
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0004982.mp4
2
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"intro for history fact video in 9:16 ratio\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3000601
[ "3000601_00.jpg", "3000601_01.jpg", "3000601_02.jpg", "3000601_03.jpg", "3000601_04.jpg", "3000601_05.jpg", "3000601_06.jpg", "3000601_07.jpg", "3000601_08.jpg", "3000601_09.jpg", "3000601_10.jpg", "3000601_11.jpg", "3000601_12.jpg", "3000601_13.jpg", "3000601_14.jpg", "3000601_15.jpg" ]
Taylor Swift at a sewing machine sewing all her clothes in a rapid fashion
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000601.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 \"Taylor Swift at a sewing machine sewing all her clothes in a rapid fashion\",\nall the frames of video are as 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" } ]
1001252
[ "1001252_00.jpg", "1001252_01.jpg", "1001252_02.jpg", "1001252_03.jpg", "1001252_04.jpg", "1001252_05.jpg", "1001252_06.jpg", "1001252_07.jpg", "1001252_08.jpg", "1001252_09.jpg", "1001252_10.jpg", "1001252_11.jpg", "1001252_12.jpg", "1001252_13.jpg", "1001252_14.jpg", "1001252_15.jpg" ]
a motorcycle cruising along a coastal highway
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001252.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 motorcycle cruising along a coastal highway\",\nall the frames of video are as 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" } ]
6001526
[ "6001526_00.jpg", "6001526_01.jpg", "6001526_02.jpg", "6001526_03.jpg", "6001526_04.jpg", "6001526_05.jpg", "6001526_06.jpg", "6001526_07.jpg", "6001526_08.jpg", "6001526_09.jpg", "6001526_10.jpg", "6001526_11.jpg", "6001526_12.jpg", "6001526_13.jpg", "6001526_14.jpg", "6001526_15.jpg" ]
(dinosaur starting dying because of meteors hit earth around them )
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001526.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 \"(dinosaur starting dying because of meteors hit earth around them )\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
5001602
[ "5001602_00.jpg", "5001602_01.jpg", "5001602_02.jpg", "5001602_03.jpg", "5001602_04.jpg", "5001602_05.jpg", "5001602_06.jpg", "5001602_07.jpg", "5001602_08.jpg", "5001602_09.jpg", "5001602_10.jpg", "5001602_11.jpg", "5001602_12.jpg", "5001602_13.jpg", "5001602_14.jpg", "5001602_15.jpg" ]
illustrate cartoon finger pressing down red button
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001602.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 \"illustrate cartoon finger pressing down red button\",\nall the frames of video are as 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" } ]
7004205
[ "7004205_00.jpg", "7004205_01.jpg", "7004205_02.jpg", "7004205_03.jpg", "7004205_04.jpg", "7004205_05.jpg", "7004205_06.jpg", "7004205_07.jpg" ]
In a dreamy city with golden roads, there is a crystal clear river with trees of life on either side
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004205.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 \"In a dreamy city with golden roads, there is a crystal clear river with trees of life on either side\",\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: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
6000844
[ "6000844_00.jpg", "6000844_01.jpg", "6000844_02.jpg", "6000844_03.jpg", "6000844_04.jpg", "6000844_05.jpg", "6000844_06.jpg", "6000844_07.jpg", "6000844_08.jpg", "6000844_09.jpg", "6000844_10.jpg", "6000844_11.jpg", "6000844_12.jpg", "6000844_13.jpg", "6000844_14.jpg", "6000844_15.jpg" ]
2012 (2009) movie shot, Drone footage of pyroclastic flow and crepuscular rays passing through smoke
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000844.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 \"2012 (2009) movie shot, Drone footage of pyroclastic flow and crepuscular rays passing through smoke\",\nall the frames of video are as 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" } ]
3000387
[ "3000387_00.jpg", "3000387_01.jpg", "3000387_02.jpg", "3000387_03.jpg", "3000387_04.jpg", "3000387_05.jpg", "3000387_06.jpg", "3000387_07.jpg", "3000387_08.jpg", "3000387_09.jpg", "3000387_10.jpg", "3000387_11.jpg", "3000387_12.jpg", "3000387_13.jpg", "3000387_14.jpg", "3000387_15.jpg" ]
an autumn scene. In the center of the picture is a smiling little girl sitting on a swing, gripping the ropes tightly with both hands as the swing sways back and forth in the breeze. The girl is wearing a red top and blue skirt, with the autumn wind blowing up her skirt and hair. The tree branches behind the girl have turned yellow, with falling leaves swirling above her head. The sky is bright blue with wispy white clouds floating by.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000387.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 \"an autumn scene. In the center of the picture is a smiling little girl sitting on a swing, gripping the ropes tightly with both hands as the swing sways back and forth in the breeze. The girl is wearing a red top and blue skirt, with the autumn wind blowing up her skirt and hair. The tree branches behind the girl have turned yellow, with falling leaves swirling above her head. The sky is bright blue with wispy white clouds floating by.\",\nall the frames of video are as 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" } ]
0000694
[ "0000694_00.jpg", "0000694_01.jpg", "0000694_02.jpg", "0000694_03.jpg", "0000694_04.jpg", "0000694_05.jpg", "0000694_06.jpg", "0000694_07.jpg", "0000694_08.jpg", "0000694_09.jpg", "0000694_10.jpg", "0000694_11.jpg", "0000694_12.jpg", "0000694_13.jpg", "0000694_14.jpg", "0000694_15.jpg", "0000694_16.jpg", "0000694_17.jpg", "0000694_18.jpg", "0000694_19.jpg", "0000694_20.jpg", "0000694_21.jpg", "0000694_22.jpg", "0000694_23.jpg" ]
Young woman in her mid 20s, black long hair, abs, wearing a black crop top, modern black jeans, belly dancing befor a big waterfall doing sunset while smiling.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000694.mp4
3
3
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"Young woman in her mid 20s, black long hair, abs, wearing a black crop top, modern black jeans, belly dancing befor a big waterfall doing sunset while smiling.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
2005983
[ "2005983_00.jpg", "2005983_01.jpg", "2005983_02.jpg", "2005983_03.jpg", "2005983_04.jpg", "2005983_05.jpg", "2005983_06.jpg", "2005983_07.jpg", "2005983_08.jpg", "2005983_09.jpg", "2005983_10.jpg", "2005983_11.jpg", "2005983_12.jpg", "2005983_13.jpg", "2005983_14.jpg", "2005983_15.jpg" ]
john and liza are taking their lunch in the restaurant
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005983.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 \"john and liza are taking their lunch in the restaurant\",\nall the frames of video are as 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" } ]
2005092
[ "2005092_00.jpg", "2005092_01.jpg", "2005092_02.jpg", "2005092_03.jpg", "2005092_04.jpg", "2005092_05.jpg", "2005092_06.jpg", "2005092_07.jpg", "2005092_08.jpg", "2005092_09.jpg", "2005092_10.jpg", "2005092_11.jpg", "2005092_12.jpg", "2005092_13.jpg", "2005092_14.jpg", "2005092_15.jpg" ]
sky opening, raining with circus, colorful, Poster
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005092.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 \"sky opening, raining with circus, colorful, Poster\",\nall the frames of video are as 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" } ]
s000491
[ "s000491_00.jpg", "s000491_01.jpg", "s000491_02.jpg", "s000491_03.jpg", "s000491_04.jpg", "s000491_05.jpg", "s000491_06.jpg", "s000491_07.jpg", "s000491_08.jpg", "s000491_09.jpg", "s000491_10.jpg", "s000491_11.jpg", "s000491_12.jpg", "s000491_13.jpg", "s000491_14.jpg", "s000491_15.jpg", "s000491_16.jpg", "s000491_17.jpg", "s000491_18.jpg", "s000491_19.jpg", "s000491_20.jpg", "s000491_21.jpg", "s000491_22.jpg", "s000491_23.jpg" ]
3 cats having fun with a beer on their paws
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000491.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 \"3 cats having fun with a beer on their paws\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 4\n temporal consistency: 4\n dynamic degree: 4\n text-to-video alignment: 0\n factual consistency: 4\n" } ]
3003451
[ "3003451_00.jpg", "3003451_01.jpg", "3003451_02.jpg", "3003451_03.jpg", "3003451_04.jpg", "3003451_05.jpg", "3003451_06.jpg", "3003451_07.jpg", "3003451_08.jpg", "3003451_09.jpg", "3003451_10.jpg", "3003451_11.jpg", "3003451_12.jpg", "3003451_13.jpg", "3003451_14.jpg", "3003451_15.jpg" ]
Planet earth being hit by an asteroid.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3003451.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 \"Planet earth being hit by an asteroid.\",\nall the frames of video are as 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" } ]
7001477
[ "7001477_00.jpg", "7001477_01.jpg", "7001477_02.jpg", "7001477_03.jpg", "7001477_04.jpg", "7001477_05.jpg", "7001477_06.jpg", "7001477_07.jpg" ]
plague doctor in an ancient medieval andalusian city, crowded market street, ultra detailed, silent pre code film, 35mm
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001477.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 \"plague doctor in an ancient medieval andalusian city, crowded market street, ultra detailed, silent pre code film, 35mm\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
2004675
[ "2004675_00.jpg", "2004675_01.jpg", "2004675_02.jpg", "2004675_03.jpg", "2004675_04.jpg", "2004675_05.jpg", "2004675_06.jpg", "2004675_07.jpg", "2004675_08.jpg", "2004675_09.jpg", "2004675_10.jpg", "2004675_11.jpg", "2004675_12.jpg", "2004675_13.jpg", "2004675_14.jpg", "2004675_15.jpg" ]
professional guidance from physical therapists and sports medicine professionals to address any injuries or imbalances promptly.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2004675.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 \"professional guidance from physical therapists and sports medicine professionals to address any injuries or imbalances promptly.\",\nall the frames of video are as 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" } ]
1002102
[ "1002102_00.jpg", "1002102_01.jpg", "1002102_02.jpg", "1002102_03.jpg", "1002102_04.jpg", "1002102_05.jpg", "1002102_06.jpg", "1002102_07.jpg", "1002102_08.jpg", "1002102_09.jpg", "1002102_10.jpg", "1002102_11.jpg", "1002102_12.jpg", "1002102_13.jpg", "1002102_14.jpg", "1002102_15.jpg" ]
Ancient pyramid gate where explorers enter animation horror dark ghosts scary darkness style in sahara
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1002102.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 \"Ancient pyramid gate where explorers enter animation horror dark ghosts scary darkness style in sahara\",\nall the frames of video are as 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" } ]
2005005
[ "2005005_00.jpg", "2005005_01.jpg", "2005005_02.jpg", "2005005_03.jpg", "2005005_04.jpg", "2005005_05.jpg", "2005005_06.jpg", "2005005_07.jpg", "2005005_08.jpg", "2005005_09.jpg", "2005005_10.jpg", "2005005_11.jpg", "2005005_12.jpg", "2005005_13.jpg", "2005005_14.jpg", "2005005_15.jpg" ]
No prompt
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2005005.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 \"No prompt\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6003019
[ "6003019_00.jpg", "6003019_01.jpg", "6003019_02.jpg", "6003019_03.jpg", "6003019_04.jpg", "6003019_05.jpg", "6003019_06.jpg", "6003019_07.jpg", "6003019_08.jpg", "6003019_09.jpg", "6003019_10.jpg", "6003019_11.jpg", "6003019_12.jpg", "6003019_13.jpg", "6003019_14.jpg", "6003019_15.jpg" ]
Roman legion, painting in the style of Robert McGinnis
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6003019.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 \"Roman legion, painting in the style of Robert McGinnis\",\nall the frames of video are as 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" } ]
8000443
[ "8000443_00.jpg", "8000443_01.jpg", "8000443_02.jpg", "8000443_03.jpg", "8000443_04.jpg", "8000443_05.jpg", "8000443_06.jpg", "8000443_07.jpg", "8000443_08.jpg", "8000443_09.jpg", "8000443_10.jpg", "8000443_11.jpg", "8000443_12.jpg", "8000443_13.jpg", "8000443_14.jpg", "8000443_15.jpg", "8000443_16.jpg", "8000443_17.jpg", "8000443_18.jpg", "8000443_19.jpg", "8000443_20.jpg", "8000443_21.jpg", "8000443_22.jpg", "8000443_23.jpg" ]
people drinking the water from spring and dieing. panoramic view
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000443.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 \"people drinking the water from spring and dieing. panoramic view\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3000111
[ "3000111_00.jpg", "3000111_01.jpg", "3000111_02.jpg", "3000111_03.jpg", "3000111_04.jpg", "3000111_05.jpg", "3000111_06.jpg", "3000111_07.jpg", "3000111_08.jpg", "3000111_09.jpg", "3000111_10.jpg", "3000111_11.jpg", "3000111_12.jpg", "3000111_13.jpg", "3000111_14.jpg", "3000111_15.jpg" ]
1 girl appears in a neon light alleway. dynamic moement, rainy day. epic movie poster, concept art, trending on artstation, symmetric, rule of thirds, 8k, photoreal, octane render, Storybook illustration dolly zoom out.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000111.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 \"1 girl appears in a neon light alleway. dynamic moement, rainy day. epic movie poster, concept art, trending on artstation, symmetric, rule of thirds, 8k, photoreal, octane render, Storybook illustration dolly zoom out.\",\nall the frames of video are as 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" } ]
7000474
[ "7000474_00.jpg", "7000474_01.jpg", "7000474_02.jpg", "7000474_03.jpg", "7000474_04.jpg", "7000474_05.jpg", "7000474_06.jpg", "7000474_07.jpg" ]
lord Siva was meditating and weather is changed suddenly a snake is coming but snake does not bite lord Siva .The snake was protected the lord Siva . Who was lord Siva ? Lord Siva is a famous god of Hinduism
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000474.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 \"lord Siva was meditating and weather is changed suddenly a snake is coming but snake does not bite lord Siva .The snake was protected the lord Siva .\n\nWho was lord Siva ?\nLord Siva is a famous god of Hinduism\",\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" } ]
0003369
[ "0003369_00.jpg", "0003369_01.jpg", "0003369_02.jpg", "0003369_03.jpg", "0003369_04.jpg", "0003369_05.jpg", "0003369_06.jpg", "0003369_07.jpg", "0003369_08.jpg", "0003369_09.jpg", "0003369_10.jpg", "0003369_11.jpg", "0003369_12.jpg", "0003369_13.jpg", "0003369_14.jpg", "0003369_15.jpg", "0003369_16.jpg", "0003369_17.jpg", "0003369_18.jpg", "0003369_19.jpg", "0003369_20.jpg", "0003369_21.jpg", "0003369_22.jpg", "0003369_23.jpg" ]
a big logo of a coin named points must be static and funny and purple
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003369.mp4
3
3
2
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a big logo of a coin named points must be static and funny and purple\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
7001133
[ "7001133_00.jpg", "7001133_01.jpg", "7001133_02.jpg", "7001133_03.jpg", "7001133_04.jpg", "7001133_05.jpg", "7001133_06.jpg", "7001133_07.jpg" ]
Mount Everest, which stands in the Himalayas on the border between Nepal and China (Tibet). Its official height is 8,848.86 meters (29,031.7 feet) above sea level
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001133.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 \"Mount Everest, which stands in the Himalayas on the border between Nepal and China (Tibet). Its official height is 8,848.86 meters (29,031.7 feet) above sea level\",\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" } ]
0002725
[ "0002725_00.jpg", "0002725_01.jpg", "0002725_02.jpg", "0002725_03.jpg", "0002725_04.jpg", "0002725_05.jpg", "0002725_06.jpg", "0002725_07.jpg", "0002725_08.jpg", "0002725_09.jpg", "0002725_10.jpg", "0002725_11.jpg", "0002725_12.jpg", "0002725_13.jpg", "0002725_14.jpg", "0002725_15.jpg", "0002725_16.jpg", "0002725_17.jpg", "0002725_18.jpg", "0002725_19.jpg", "0002725_20.jpg", "0002725_21.jpg", "0002725_22.jpg", "0002725_23.jpg" ]
Add a Little Slow Movementimage:Firefly Envision a beautifully decorated gingerbread house on a wooden table, surrounded by colorful (2).jpg
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002725.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 \"Add a Little Slow Movementimage:Firefly Envision a beautifully decorated gingerbread house on a wooden table, surrounded by colorful (2).jpg\",\nall the 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" } ]
8002845
[ "8002845_00.jpg", "8002845_01.jpg", "8002845_02.jpg", "8002845_03.jpg", "8002845_04.jpg", "8002845_05.jpg", "8002845_06.jpg", "8002845_07.jpg", "8002845_08.jpg", "8002845_09.jpg", "8002845_10.jpg", "8002845_11.jpg", "8002845_12.jpg", "8002845_13.jpg", "8002845_14.jpg", "8002845_15.jpg", "8002845_16.jpg", "8002845_17.jpg", "8002845_18.jpg", "8002845_19.jpg", "8002845_20.jpg", "8002845_21.jpg", "8002845_22.jpg", "8002845_23.jpg" ]
a car driving through New york. Nightlife, citylight
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8002845.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 car driving through New york. Nightlife, citylight\",\nall the 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" } ]
8000592
[ "8000592_00.jpg", "8000592_01.jpg", "8000592_02.jpg", "8000592_03.jpg", "8000592_04.jpg", "8000592_05.jpg", "8000592_06.jpg", "8000592_07.jpg", "8000592_08.jpg", "8000592_09.jpg", "8000592_10.jpg", "8000592_11.jpg", "8000592_12.jpg", "8000592_13.jpg", "8000592_14.jpg", "8000592_15.jpg", "8000592_16.jpg", "8000592_17.jpg", "8000592_18.jpg", "8000592_19.jpg", "8000592_20.jpg", "8000592_21.jpg", "8000592_22.jpg", "8000592_23.jpg" ]
a woman hanging from a cliff
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000592.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a woman hanging from a cliff\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
2000240
[ "2000240_00.jpg", "2000240_01.jpg", "2000240_02.jpg", "2000240_03.jpg", "2000240_04.jpg", "2000240_05.jpg", "2000240_06.jpg", "2000240_07.jpg", "2000240_08.jpg", "2000240_09.jpg", "2000240_10.jpg", "2000240_11.jpg", "2000240_12.jpg", "2000240_13.jpg", "2000240_14.jpg", "2000240_15.jpg" ]
a young priest, a very beautiful and delicate black African woman, wears ancient Yoruba clothing, is consulting an ancient oracle, she can see the future on the horizon, magical, spiritual, avatar style scenario, rich details, epic , cinematographic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000240.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 young priest, a very beautiful and delicate black African woman, wears ancient Yoruba clothing, is consulting an ancient oracle, she can see the future on the horizon, magical, spiritual, avatar style scenario, rich details, epic , cinematographic\",\nall the frames of video are as 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" } ]
7001667
[ "7001667_00.jpg", "7001667_01.jpg", "7001667_02.jpg", "7001667_03.jpg", "7001667_04.jpg", "7001667_05.jpg", "7001667_06.jpg", "7001667_07.jpg" ]
A flash of light blinds a demon soldier, night, fires in background, cinematic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001667.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 flash of light blinds a demon soldier, night, fires in background, cinematic\",\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" } ]
0003286
[ "0003286_00.jpg", "0003286_01.jpg", "0003286_02.jpg", "0003286_03.jpg", "0003286_04.jpg", "0003286_05.jpg", "0003286_06.jpg", "0003286_07.jpg", "0003286_08.jpg", "0003286_09.jpg", "0003286_10.jpg", "0003286_11.jpg", "0003286_12.jpg", "0003286_13.jpg", "0003286_14.jpg", "0003286_15.jpg", "0003286_16.jpg", "0003286_17.jpg", "0003286_18.jpg", "0003286_19.jpg", "0003286_20.jpg", "0003286_21.jpg", "0003286_22.jpg", "0003286_23.jpg" ]
brain autopsy and prevaletion of tissue for medical investigations
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0003286.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 \"brain autopsy and prevaletion of tissue for medical investigations\",\nall the 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" } ]
7004799
[ "7004799_00.jpg", "7004799_01.jpg", "7004799_02.jpg", "7004799_03.jpg", "7004799_04.jpg", "7004799_05.jpg", "7004799_06.jpg", "7004799_07.jpg" ]
In a forest with a large river where there is a lot of diversity of animals Message: Mario (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7004799.mp4
3
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"In a forest with a large river where there is a lot of diversity of animals Message: Mario (Font: MODERN)\",\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" } ]
7003314
[ "7003314_00.jpg", "7003314_01.jpg", "7003314_02.jpg", "7003314_03.jpg", "7003314_04.jpg", "7003314_05.jpg", "7003314_06.jpg", "7003314_07.jpg" ]
nissan skyline gtr r35 in blue racing a yellow bmw m3 2023
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003314.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 \"nissan skyline gtr r35 in blue racing a yellow bmw m3 2023\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
0000103
[ "0000103_00.jpg", "0000103_01.jpg", "0000103_02.jpg", "0000103_03.jpg", "0000103_04.jpg", "0000103_05.jpg", "0000103_06.jpg", "0000103_07.jpg", "0000103_08.jpg", "0000103_09.jpg", "0000103_10.jpg", "0000103_11.jpg", "0000103_12.jpg", "0000103_13.jpg", "0000103_14.jpg", "0000103_15.jpg", "0000103_16.jpg", "0000103_17.jpg", "0000103_18.jpg", "0000103_19.jpg", "0000103_20.jpg", "0000103_21.jpg", "0000103_22.jpg", "0000103_23.jpg" ]
shadows moving on staircase at night
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000103.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 \"shadows moving on staircase at night\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
7000980
[ "7000980_00.jpg", "7000980_01.jpg", "7000980_02.jpg", "7000980_03.jpg", "7000980_04.jpg", "7000980_05.jpg", "7000980_06.jpg", "7000980_07.jpg" ]
The great battle of the light host, against the fiends of hell
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000980.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 great battle of the light host, against the fiends of hell\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
7000608
[ "7000608_00.jpg", "7000608_01.jpg", "7000608_02.jpg", "7000608_03.jpg", "7000608_04.jpg", "7000608_05.jpg", "7000608_06.jpg", "7000608_07.jpg" ]
The hen thought of a plan to come out and run away
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000608.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 \"The hen thought of a plan to come out and run away\",\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" } ]
0002134
[ "0002134_00.jpg", "0002134_01.jpg", "0002134_02.jpg", "0002134_03.jpg", "0002134_04.jpg", "0002134_05.jpg", "0002134_06.jpg", "0002134_07.jpg", "0002134_08.jpg", "0002134_09.jpg", "0002134_10.jpg", "0002134_11.jpg", "0002134_12.jpg", "0002134_13.jpg", "0002134_14.jpg", "0002134_15.jpg", "0002134_16.jpg", "0002134_17.jpg", "0002134_18.jpg", "0002134_19.jpg", "0002134_20.jpg", "0002134_21.jpg", "0002134_22.jpg", "0002134_23.jpg" ]
show some 16th century farmers hitting with their sticks some dutch soldiers. hyper realistic 4k
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002134.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 \"show some 16th century farmers hitting with their sticks some dutch soldiers. hyper realistic 4k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
0005111
[ "0005111_00.jpg", "0005111_01.jpg", "0005111_02.jpg", "0005111_03.jpg", "0005111_04.jpg", "0005111_05.jpg", "0005111_06.jpg", "0005111_07.jpg", "0005111_08.jpg", "0005111_09.jpg", "0005111_10.jpg", "0005111_11.jpg", "0005111_12.jpg", "0005111_13.jpg", "0005111_14.jpg", "0005111_15.jpg", "0005111_16.jpg", "0005111_17.jpg", "0005111_18.jpg", "0005111_19.jpg", "0005111_20.jpg", "0005111_21.jpg", "0005111_22.jpg", "0005111_23.jpg" ]
science blueprint video of sound moving beside head and reach inner ear, animation with no facial features side view
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005111.mp4
1
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 \"science blueprint video of sound moving beside head and reach inner ear, animation with no facial features side view\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
6000320
[ "6000320_00.jpg", "6000320_01.jpg", "6000320_02.jpg", "6000320_03.jpg", "6000320_04.jpg", "6000320_05.jpg", "6000320_06.jpg", "6000320_07.jpg", "6000320_08.jpg", "6000320_09.jpg", "6000320_10.jpg", "6000320_11.jpg", "6000320_12.jpg", "6000320_13.jpg", "6000320_14.jpg", "6000320_15.jpg" ]
an alien opening presents on Christmas Day. Christmas tree in the background
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6000320.mp4
2
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 \"an alien opening presents on Christmas Day. Christmas tree in the background\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
8000255
[ "8000255_00.jpg", "8000255_01.jpg", "8000255_02.jpg", "8000255_03.jpg", "8000255_04.jpg", "8000255_05.jpg", "8000255_06.jpg", "8000255_07.jpg", "8000255_08.jpg", "8000255_09.jpg", "8000255_10.jpg", "8000255_11.jpg", "8000255_12.jpg", "8000255_13.jpg", "8000255_14.jpg", "8000255_15.jpg", "8000255_16.jpg", "8000255_17.jpg", "8000255_18.jpg", "8000255_19.jpg", "8000255_20.jpg", "8000255_21.jpg", "8000255_22.jpg", "8000255_23.jpg" ]
A boat sailing leisurely along the Seine River with the Eiffel Tower in background
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000255.mp4
1
3
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A boat sailing leisurely along the Seine River with the Eiffel Tower in background\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3006059
[ "3006059_00.jpg", "3006059_01.jpg", "3006059_02.jpg", "3006059_03.jpg", "3006059_04.jpg", "3006059_05.jpg", "3006059_06.jpg", "3006059_07.jpg", "3006059_08.jpg", "3006059_09.jpg", "3006059_10.jpg", "3006059_11.jpg", "3006059_12.jpg", "3006059_13.jpg", "3006059_14.jpg", "3006059_15.jpg" ]
villain watching pedestrians from over top of tall build, 5 seconds video
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006059.mp4
2
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"villain watching pedestrians from over top of tall build, 5 seconds video\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3001884
[ "3001884_00.jpg", "3001884_01.jpg", "3001884_02.jpg", "3001884_03.jpg", "3001884_04.jpg", "3001884_05.jpg", "3001884_06.jpg", "3001884_07.jpg", "3001884_08.jpg", "3001884_09.jpg", "3001884_10.jpg", "3001884_11.jpg", "3001884_12.jpg", "3001884_13.jpg", "3001884_14.jpg", "3001884_15.jpg" ]
A scenic shot of a rural village nestled in the mountains.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001884.mp4
2
3
1
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A scenic shot of a rural village nestled in the mountains.\",\nall the frames of video are as 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" } ]
1004569
[ "1004569_00.jpg", "1004569_01.jpg", "1004569_02.jpg", "1004569_03.jpg", "1004569_04.jpg", "1004569_05.jpg", "1004569_06.jpg", "1004569_07.jpg", "1004569_08.jpg", "1004569_09.jpg", "1004569_10.jpg", "1004569_11.jpg", "1004569_12.jpg", "1004569_13.jpg", "1004569_14.jpg", "1004569_15.jpg" ]
car crashed and exploded,car explosion, voluminous smoke and fire, particles of sparks, action movie scene,
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004569.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 \"car crashed and exploded,car explosion, voluminous smoke and fire, particles of sparks, action 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: 1\n" } ]
7001264
[ "7001264_00.jpg", "7001264_01.jpg", "7001264_02.jpg", "7001264_03.jpg", "7001264_04.jpg", "7001264_05.jpg", "7001264_06.jpg", "7001264_07.jpg" ]
an alien spaceship glistening over the New Mexico desert.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001264.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 alien spaceship glistening over the New Mexico desert.\",\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" } ]
2000546
[ "2000546_00.jpg", "2000546_01.jpg", "2000546_02.jpg", "2000546_03.jpg", "2000546_04.jpg", "2000546_05.jpg", "2000546_06.jpg", "2000546_07.jpg", "2000546_08.jpg", "2000546_09.jpg", "2000546_10.jpg", "2000546_11.jpg", "2000546_12.jpg", "2000546_13.jpg", "2000546_14.jpg", "2000546_15.jpg" ]
a Japanese business man sat in a restaurant wearing a green lizards hat , the man is smoking a cigarette , intricate detial , 8k, the camera is panning up , light is coming form the side , 18mm , kodachrome
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000546.mp4
3
3
1
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a Japanese business man sat in a restaurant wearing a green lizards hat , the man is smoking a cigarette , intricate detial , 8k, the camera is panning up , light is coming form the side , 18mm , kodachrome\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
5000296
[ "5000296_00.jpg", "5000296_01.jpg", "5000296_02.jpg", "5000296_03.jpg", "5000296_04.jpg", "5000296_05.jpg", "5000296_06.jpg", "5000296_07.jpg", "5000296_08.jpg", "5000296_09.jpg", "5000296_10.jpg", "5000296_11.jpg", "5000296_12.jpg", "5000296_13.jpg", "5000296_14.jpg", "5000296_15.jpg" ]
A 3d illustration of a dangerous mosquito
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000296.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 3d illustration of a dangerous mosquito\",\nall the frames of video are as 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" } ]
0005702
[ "0005702_00.jpg", "0005702_01.jpg", "0005702_02.jpg", "0005702_03.jpg", "0005702_04.jpg", "0005702_05.jpg", "0005702_06.jpg", "0005702_07.jpg", "0005702_08.jpg", "0005702_09.jpg", "0005702_10.jpg", "0005702_11.jpg", "0005702_12.jpg", "0005702_13.jpg", "0005702_14.jpg", "0005702_15.jpg", "0005702_16.jpg", "0005702_17.jpg", "0005702_18.jpg", "0005702_19.jpg", "0005702_20.jpg", "0005702_21.jpg", "0005702_22.jpg", "0005702_23.jpg" ]
The butterfly continued to crawl, unable to fly
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0005702.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 butterfly continued to crawl, unable to fly\",\nall the 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" } ]
7000397
[ "7000397_00.jpg", "7000397_01.jpg", "7000397_02.jpg", "7000397_03.jpg", "7000397_04.jpg", "7000397_05.jpg", "7000397_06.jpg", "7000397_07.jpg" ]
road runner racing with usain bolt in cartoon style
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7000397.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 \"road runner racing with usain bolt in cartoon 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: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
0001843
[ "0001843_00.jpg", "0001843_01.jpg", "0001843_02.jpg", "0001843_03.jpg", "0001843_04.jpg", "0001843_05.jpg", "0001843_06.jpg", "0001843_07.jpg", "0001843_08.jpg", "0001843_09.jpg", "0001843_10.jpg", "0001843_11.jpg", "0001843_12.jpg", "0001843_13.jpg", "0001843_14.jpg", "0001843_15.jpg", "0001843_16.jpg", "0001843_17.jpg", "0001843_18.jpg", "0001843_19.jpg", "0001843_20.jpg", "0001843_21.jpg", "0001843_22.jpg", "0001843_23.jpg" ]
21 YEAR OLD a curious alien girl with four eyes, and beautiful smile ,wearing a beautiful red gown.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001843.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 \"21 YEAR OLD a curious alien girl with four eyes, and beautiful smile ,wearing a beautiful red gown.\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
4004270
[ "4004270_00.jpg", "4004270_01.jpg", "4004270_02.jpg", "4004270_03.jpg", "4004270_04.jpg", "4004270_05.jpg", "4004270_06.jpg", "4004270_07.jpg", "4004270_08.jpg", "4004270_09.jpg", "4004270_10.jpg", "4004270_11.jpg", "4004270_12.jpg", "4004270_13.jpg", "4004270_14.jpg", "4004270_15.jpg" ]
Classmates come in a continuous stream, holding various Spring Festival decorations in their hands. They are energetic and have your help in decorating and preparing for activities
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4004270.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 \"Classmates come in a continuous stream, holding various Spring Festival decorations in their hands. They are energetic and have your help in decorating and preparing for activities\",\nall the frames of video are as 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" } ]
1005569
[ "1005569_00.jpg", "1005569_01.jpg", "1005569_02.jpg", "1005569_03.jpg", "1005569_04.jpg", "1005569_05.jpg", "1005569_06.jpg", "1005569_07.jpg", "1005569_08.jpg", "1005569_09.jpg", "1005569_10.jpg", "1005569_11.jpg", "1005569_12.jpg", "1005569_13.jpg", "1005569_14.jpg", "1005569_15.jpg" ]
1 MAN IN THE DESERT WOWED CINEMATIC DESERT COLOR
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005569.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 \"1 MAN IN THE DESERT WOWED CINEMATIC DESERT COLOR\",\nall the frames of video are as 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" } ]
2002258
[ "2002258_00.jpg", "2002258_01.jpg", "2002258_02.jpg", "2002258_03.jpg", "2002258_04.jpg", "2002258_05.jpg", "2002258_06.jpg", "2002258_07.jpg", "2002258_08.jpg", "2002258_09.jpg", "2002258_10.jpg", "2002258_11.jpg", "2002258_12.jpg", "2002258_13.jpg", "2002258_14.jpg", "2002258_15.jpg" ]
A person is tasting beer
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2002258.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 person is tasting beer\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
8000816
[ "8000816_00.jpg", "8000816_01.jpg", "8000816_02.jpg", "8000816_03.jpg", "8000816_04.jpg", "8000816_05.jpg", "8000816_06.jpg", "8000816_07.jpg", "8000816_08.jpg", "8000816_09.jpg", "8000816_10.jpg", "8000816_11.jpg", "8000816_12.jpg", "8000816_13.jpg", "8000816_14.jpg", "8000816_15.jpg", "8000816_16.jpg", "8000816_17.jpg", "8000816_18.jpg", "8000816_19.jpg", "8000816_20.jpg", "8000816_21.jpg", "8000816_22.jpg", "8000816_23.jpg" ]
A cat swiming in the pool
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000816.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 cat swiming in the pool\",\nall the 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" } ]
0002531
[ "0002531_00.jpg", "0002531_01.jpg", "0002531_02.jpg", "0002531_03.jpg", "0002531_04.jpg", "0002531_05.jpg", "0002531_06.jpg", "0002531_07.jpg", "0002531_08.jpg", "0002531_09.jpg", "0002531_10.jpg", "0002531_11.jpg", "0002531_12.jpg", "0002531_13.jpg", "0002531_14.jpg", "0002531_15.jpg", "0002531_16.jpg", "0002531_17.jpg", "0002531_18.jpg", "0002531_19.jpg", "0002531_20.jpg", "0002531_21.jpg", "0002531_22.jpg", "0002531_23.jpg" ]
Medieval tavern like in the withcer videogame
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002531.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 \"Medieval tavern like in the withcer videogame\",\nall the 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" } ]
0002801
[ "0002801_00.jpg", "0002801_01.jpg", "0002801_02.jpg", "0002801_03.jpg", "0002801_04.jpg", "0002801_05.jpg", "0002801_06.jpg", "0002801_07.jpg", "0002801_08.jpg", "0002801_09.jpg", "0002801_10.jpg", "0002801_11.jpg", "0002801_12.jpg", "0002801_13.jpg", "0002801_14.jpg", "0002801_15.jpg", "0002801_16.jpg", "0002801_17.jpg", "0002801_18.jpg", "0002801_19.jpg", "0002801_20.jpg", "0002801_21.jpg", "0002801_22.jpg", "0002801_23.jpg" ]
jesse wake up so we can play baldurs gate
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002801.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 \"jesse wake up so we can play baldurs gate\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
4002604
[ "4002604_00.jpg", "4002604_01.jpg", "4002604_02.jpg", "4002604_03.jpg", "4002604_04.jpg", "4002604_05.jpg", "4002604_06.jpg", "4002604_07.jpg", "4002604_08.jpg", "4002604_09.jpg", "4002604_10.jpg", "4002604_11.jpg", "4002604_12.jpg", "4002604_13.jpg", "4002604_14.jpg", "4002604_15.jpg" ]
microorganism, dark beautiful color scheme, 4k, cinematic
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002604.mp4
3
1
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"microorganism, dark beautiful color scheme, 4k, 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: 3\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
4000753
[ "4000753_00.jpg", "4000753_01.jpg", "4000753_02.jpg", "4000753_03.jpg", "4000753_04.jpg", "4000753_05.jpg", "4000753_06.jpg", "4000753_07.jpg", "4000753_08.jpg", "4000753_09.jpg", "4000753_10.jpg", "4000753_11.jpg", "4000753_12.jpg", "4000753_13.jpg", "4000753_14.jpg", "4000753_15.jpg" ]
Chameleon Continued Performances: Illustrate Chameleon Cleo continuing to dance, bringing happiness to the Colorful Rainforest, Chameleon colors telling stories of joy and diversity.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000753.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 \"Chameleon Continued Performances: Illustrate Chameleon Cleo continuing to dance, bringing happiness to the Colorful Rainforest, Chameleon colors telling stories of joy and diversity.\",\nall the frames of video are as 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" } ]
1000438
[ "1000438_00.jpg", "1000438_01.jpg", "1000438_02.jpg", "1000438_03.jpg", "1000438_04.jpg", "1000438_05.jpg", "1000438_06.jpg", "1000438_07.jpg", "1000438_08.jpg", "1000438_09.jpg", "1000438_10.jpg", "1000438_11.jpg", "1000438_12.jpg", "1000438_13.jpg", "1000438_14.jpg", "1000438_15.jpg" ]
Delve into the imaginative world of Lego, where creativity knows no bounds. Witness a bustling Lego cityscape, each building a testament to artistic innovation. Journey through a vibrant Lego theme park filled with thrilling rides and joyous laughter. Finally, discover the magic of Lego, as generations come together to build and create, proving that with Lego, anything is possible
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1000438.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 \"Delve into the imaginative world of Lego, where creativity knows no bounds. Witness a bustling Lego cityscape, each building a testament to artistic innovation. Journey through a vibrant Lego theme park filled with thrilling rides and joyous laughter. Finally, discover the magic of Lego, as generations come together to build and create, proving that with Lego, anything is possible\",\nall the frames of video are as 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" } ]
2000270
[ "2000270_00.jpg", "2000270_01.jpg", "2000270_02.jpg", "2000270_03.jpg", "2000270_04.jpg", "2000270_05.jpg", "2000270_06.jpg", "2000270_07.jpg", "2000270_08.jpg", "2000270_09.jpg", "2000270_10.jpg", "2000270_11.jpg", "2000270_12.jpg", "2000270_13.jpg", "2000270_14.jpg", "2000270_15.jpg" ]
beautiful brunette woman, rocky beach, doing stretch, pink bikini, no deformed body
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000270.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 \"beautiful brunette woman, rocky beach, doing stretch, pink bikini, no deformed body\",\nall the frames of video are as 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" } ]
0001183
[ "0001183_00.jpg", "0001183_01.jpg", "0001183_02.jpg", "0001183_03.jpg", "0001183_04.jpg", "0001183_05.jpg", "0001183_06.jpg", "0001183_07.jpg", "0001183_08.jpg", "0001183_09.jpg", "0001183_10.jpg", "0001183_11.jpg", "0001183_12.jpg", "0001183_13.jpg", "0001183_14.jpg", "0001183_15.jpg", "0001183_16.jpg", "0001183_17.jpg", "0001183_18.jpg", "0001183_19.jpg", "0001183_20.jpg", "0001183_21.jpg", "0001183_22.jpg", "0001183_23.jpg" ]
cute heart in a vibrant pink world in the background, 3d designer
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001183.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 \"cute heart in a vibrant pink world in the background, 3d designer\",\nall the 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" } ]
2003789
[ "2003789_00.jpg", "2003789_01.jpg", "2003789_02.jpg", "2003789_03.jpg", "2003789_04.jpg", "2003789_05.jpg", "2003789_06.jpg", "2003789_07.jpg", "2003789_08.jpg", "2003789_09.jpg", "2003789_10.jpg", "2003789_11.jpg", "2003789_12.jpg", "2003789_13.jpg", "2003789_14.jpg", "2003789_15.jpg" ]
man working and is very tired
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2003789.mp4
2
3
3
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"man working and is very tired\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3002340
[ "3002340_00.jpg", "3002340_01.jpg", "3002340_02.jpg", "3002340_03.jpg", "3002340_04.jpg", "3002340_05.jpg", "3002340_06.jpg", "3002340_07.jpg", "3002340_08.jpg", "3002340_09.jpg", "3002340_10.jpg", "3002340_11.jpg", "3002340_12.jpg", "3002340_13.jpg", "3002340_14.jpg", "3002340_15.jpg" ]
A girl looking carefully at the camera
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3002340.mp4
1
1
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"A girl looking carefully at the camera\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1005914
[ "1005914_00.jpg", "1005914_01.jpg", "1005914_02.jpg", "1005914_03.jpg", "1005914_04.jpg", "1005914_05.jpg", "1005914_06.jpg", "1005914_07.jpg", "1005914_08.jpg", "1005914_09.jpg", "1005914_10.jpg", "1005914_11.jpg", "1005914_12.jpg", "1005914_13.jpg", "1005914_14.jpg", "1005914_15.jpg" ]
Wide Shot: Establishing shot of the mystical forest.
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1005914.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 \"Wide Shot: Establishing shot of the mystical 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: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
4000247
[ "4000247_00.jpg", "4000247_01.jpg", "4000247_02.jpg", "4000247_03.jpg", "4000247_04.jpg", "4000247_05.jpg", "4000247_06.jpg", "4000247_07.jpg", "4000247_08.jpg", "4000247_09.jpg", "4000247_10.jpg", "4000247_11.jpg", "4000247_12.jpg", "4000247_13.jpg", "4000247_14.jpg", "4000247_15.jpg" ]
anatomic heart, rose, floral, gothic, tree branch brown, trending on artstation, sharp focus, studio photo, intricate details, highly detailed, by greg rutkowski
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4000247.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 \"anatomic heart, rose, floral, gothic, tree branch brown, trending on artstation, sharp focus, studio photo, intricate details, highly detailed, by greg rutkowski\",\nall the frames of video are as 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" } ]
6002149
[ "6002149_00.jpg", "6002149_01.jpg", "6002149_02.jpg", "6002149_03.jpg", "6002149_04.jpg", "6002149_05.jpg", "6002149_06.jpg", "6002149_07.jpg", "6002149_08.jpg", "6002149_09.jpg", "6002149_10.jpg", "6002149_11.jpg", "6002149_12.jpg", "6002149_13.jpg", "6002149_14.jpg", "6002149_15.jpg" ]
surreal abstarct disturbing cartoon In an endless loop about a person cries ignored and rejected by the people passing
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002149.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 \"surreal abstarct disturbing cartoon In an endless loop about a person cries ignored and rejected by the people passing\",\nall the frames of video are as 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" } ]
5001657
[ "5001657_00.jpg", "5001657_01.jpg", "5001657_02.jpg", "5001657_03.jpg", "5001657_04.jpg", "5001657_05.jpg", "5001657_06.jpg", "5001657_07.jpg", "5001657_08.jpg", "5001657_09.jpg", "5001657_10.jpg", "5001657_11.jpg", "5001657_12.jpg", "5001657_13.jpg", "5001657_14.jpg", "5001657_15.jpg" ]
six male friends ready for war
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001657.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 \"six male friends ready for war\",\nall the frames of video are as 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" } ]
3004537
[ "3004537_00.jpg", "3004537_01.jpg", "3004537_02.jpg", "3004537_03.jpg", "3004537_04.jpg", "3004537_05.jpg", "3004537_06.jpg", "3004537_07.jpg", "3004537_08.jpg", "3004537_09.jpg", "3004537_10.jpg", "3004537_11.jpg", "3004537_12.jpg", "3004537_13.jpg", "3004537_14.jpg", "3004537_15.jpg" ]
a man is standing in a dark room. the man is very sweaty, scared and stares straight into the camera. he is wearing a black tank top
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3004537.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 man is standing in a dark room. the man is very sweaty, scared and stares straight into the camera. he is wearing a black tank top\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
8000932
[ "8000932_00.jpg", "8000932_01.jpg", "8000932_02.jpg", "8000932_03.jpg", "8000932_04.jpg", "8000932_05.jpg", "8000932_06.jpg", "8000932_07.jpg", "8000932_08.jpg", "8000932_09.jpg", "8000932_10.jpg", "8000932_11.jpg", "8000932_12.jpg", "8000932_13.jpg", "8000932_14.jpg", "8000932_15.jpg", "8000932_16.jpg", "8000932_17.jpg", "8000932_18.jpg", "8000932_19.jpg", "8000932_20.jpg", "8000932_21.jpg", "8000932_22.jpg", "8000932_23.jpg" ]
sunset a girl is walking by the lake
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/8/8000932.mp4
1
2
3
0
1
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"sunset a girl is walking by the lake\",\nall the 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" } ]
6001910
[ "6001910_00.jpg", "6001910_01.jpg", "6001910_02.jpg", "6001910_03.jpg", "6001910_04.jpg", "6001910_05.jpg", "6001910_06.jpg", "6001910_07.jpg", "6001910_08.jpg", "6001910_09.jpg", "6001910_10.jpg", "6001910_11.jpg", "6001910_12.jpg", "6001910_13.jpg", "6001910_14.jpg", "6001910_15.jpg" ]
a coffee cup splash from top
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6001910.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 coffee cup splash from top\",\nall the frames of video are as 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" } ]
7001284
[ "7001284_00.jpg", "7001284_01.jpg", "7001284_02.jpg", "7001284_03.jpg", "7001284_04.jpg", "7001284_05.jpg", "7001284_06.jpg", "7001284_07.jpg" ]
cave man in modern city Message: draw (Font: MODERN)
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7001284.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 \"cave man in modern city Message: draw (Font: MODERN)\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
7003726
[ "7003726_00.jpg", "7003726_01.jpg", "7003726_02.jpg", "7003726_03.jpg", "7003726_04.jpg", "7003726_05.jpg", "7003726_06.jpg", "7003726_07.jpg" ]
Anya Taylor Joy sitting in underwear
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003726.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 \"Anya Taylor Joy sitting in underwear\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
2006631
[ "2006631_00.jpg", "2006631_01.jpg", "2006631_02.jpg", "2006631_03.jpg", "2006631_04.jpg", "2006631_05.jpg", "2006631_06.jpg", "2006631_07.jpg", "2006631_08.jpg", "2006631_09.jpg", "2006631_10.jpg", "2006631_11.jpg", "2006631_12.jpg", "2006631_13.jpg", "2006631_14.jpg", "2006631_15.jpg" ]
I cute girl of 9 years old in a swiming clothes
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2006631.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 \"I cute girl of 9 years old in a swiming clothes\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
0001874
[ "0001874_00.jpg", "0001874_01.jpg", "0001874_02.jpg", "0001874_03.jpg", "0001874_04.jpg", "0001874_05.jpg", "0001874_06.jpg", "0001874_07.jpg", "0001874_08.jpg", "0001874_09.jpg", "0001874_10.jpg", "0001874_11.jpg", "0001874_12.jpg", "0001874_13.jpg", "0001874_14.jpg", "0001874_15.jpg", "0001874_16.jpg", "0001874_17.jpg", "0001874_18.jpg", "0001874_19.jpg", "0001874_20.jpg", "0001874_21.jpg", "0001874_22.jpg", "0001874_23.jpg" ]
cinematic shot of a Greek warriors coming with a letter
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001874.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 \"cinematic shot of a Greek warriors coming with a letter\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
6002830
[ "6002830_00.jpg", "6002830_01.jpg", "6002830_02.jpg", "6002830_03.jpg", "6002830_04.jpg", "6002830_05.jpg", "6002830_06.jpg", "6002830_07.jpg", "6002830_08.jpg", "6002830_09.jpg", "6002830_10.jpg", "6002830_11.jpg", "6002830_12.jpg", "6002830_13.jpg", "6002830_14.jpg", "6002830_15.jpg" ]
The mountains collapsed and everyone was shocked
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002830.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 mountains collapsed and everyone was shocked\",\nall the frames of video are as 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" } ]
6002636
[ "6002636_00.jpg", "6002636_01.jpg", "6002636_02.jpg", "6002636_03.jpg", "6002636_04.jpg", "6002636_05.jpg", "6002636_06.jpg", "6002636_07.jpg", "6002636_08.jpg", "6002636_09.jpg", "6002636_10.jpg", "6002636_11.jpg", "6002636_12.jpg", "6002636_13.jpg", "6002636_14.jpg", "6002636_15.jpg" ]
Naruto and sasuke starting race in futurestic cars in that his dad is referee
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/6/6002636.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 \"Naruto and sasuke starting race in futurestic cars in that his dad is referee\",\nall the frames of video are as 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" } ]
9000274
[ "9000274_00.jpg", "9000274_01.jpg", "9000274_02.jpg", "9000274_03.jpg", "9000274_04.jpg", "9000274_05.jpg", "9000274_06.jpg", "9000274_07.jpg", "9000274_08.jpg", "9000274_09.jpg", "9000274_10.jpg", "9000274_11.jpg", "9000274_12.jpg", "9000274_13.jpg", "9000274_14.jpg", "9000274_15.jpg", "9000274_16.jpg", "9000274_17.jpg", "9000274_18.jpg", "9000274_19.jpg", "9000274_20.jpg", "9000274_21.jpg", "9000274_22.jpg", "9000274_23.jpg" ]
A dancing girl in a flight attendant uniform
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000274.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 dancing girl in a flight attendant uniform\",\nall the 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" } ]
3000628
[ "3000628_00.jpg", "3000628_01.jpg", "3000628_02.jpg", "3000628_03.jpg", "3000628_04.jpg", "3000628_05.jpg", "3000628_06.jpg", "3000628_07.jpg", "3000628_08.jpg", "3000628_09.jpg", "3000628_10.jpg", "3000628_11.jpg", "3000628_12.jpg", "3000628_13.jpg", "3000628_14.jpg", "3000628_15.jpg" ]
hyperrealistic plants growing out of an aluminum hexagon
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000628.mp4
2
3
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"hyperrealistic plants growing out of an aluminum hexagon\",\nall the frames of video are as 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" } ]
0002561
[ "0002561_00.jpg", "0002561_01.jpg", "0002561_02.jpg", "0002561_03.jpg", "0002561_04.jpg", "0002561_05.jpg", "0002561_06.jpg", "0002561_07.jpg", "0002561_08.jpg", "0002561_09.jpg", "0002561_10.jpg", "0002561_11.jpg", "0002561_12.jpg", "0002561_13.jpg", "0002561_14.jpg", "0002561_15.jpg", "0002561_16.jpg", "0002561_17.jpg", "0002561_18.jpg", "0002561_19.jpg", "0002561_20.jpg", "0002561_21.jpg", "0002561_22.jpg", "0002561_23.jpg" ]
Harry Potter casting a spell on Ron Weasley
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0002561.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 \"Harry Potter casting a spell on Ron Weasley\",\nall the 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" } ]
2001179
[ "2001179_00.jpg", "2001179_01.jpg", "2001179_02.jpg", "2001179_03.jpg", "2001179_04.jpg", "2001179_05.jpg", "2001179_06.jpg", "2001179_07.jpg", "2001179_08.jpg", "2001179_09.jpg", "2001179_10.jpg", "2001179_11.jpg", "2001179_12.jpg", "2001179_13.jpg", "2001179_14.jpg", "2001179_15.jpg" ]
Taotie mythical beast from Shan Hai Jing
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001179.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 \"Taotie mythical beast from Shan Hai Jing\",\nall the frames of video are as 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" } ]
1004503
[ "1004503_00.jpg", "1004503_01.jpg", "1004503_02.jpg", "1004503_03.jpg", "1004503_04.jpg", "1004503_05.jpg", "1004503_06.jpg", "1004503_07.jpg", "1004503_08.jpg", "1004503_09.jpg", "1004503_10.jpg", "1004503_11.jpg", "1004503_12.jpg", "1004503_13.jpg", "1004503_14.jpg", "1004503_15.jpg" ]
two cute little girls friends talking
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1004503.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" } ]
1006373
[ "1006373_00.jpg", "1006373_01.jpg", "1006373_02.jpg", "1006373_03.jpg", "1006373_04.jpg", "1006373_05.jpg", "1006373_06.jpg", "1006373_07.jpg", "1006373_08.jpg", "1006373_09.jpg", "1006373_10.jpg", "1006373_11.jpg", "1006373_12.jpg", "1006373_13.jpg", "1006373_14.jpg", "1006373_15.jpg" ]
Back Pain Matters Schematic Video, 4k
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1006373.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 \"Back Pain Matters Schematic Video, 4k\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3000848
[ "3000848_00.jpg", "3000848_01.jpg", "3000848_02.jpg", "3000848_03.jpg", "3000848_04.jpg", "3000848_05.jpg", "3000848_06.jpg", "3000848_07.jpg", "3000848_08.jpg", "3000848_09.jpg", "3000848_10.jpg", "3000848_11.jpg", "3000848_12.jpg", "3000848_13.jpg", "3000848_14.jpg", "3000848_15.jpg" ]
One hot summer day, a severe drought struck the land, causing the waterholes to dry up and the grass to wither away. The animals of the jungle were suffering, and hunger gnawed at their bellies
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3000848.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 \"One hot summer day, a severe drought struck the land, causing the waterholes to dry up and the grass to wither away. The animals of the jungle were suffering, and hunger gnawed at their bellies\",\nall the frames of video are as 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" } ]
0001474
[ "0001474_00.jpg", "0001474_01.jpg", "0001474_02.jpg", "0001474_03.jpg", "0001474_04.jpg", "0001474_05.jpg", "0001474_06.jpg", "0001474_07.jpg", "0001474_08.jpg", "0001474_09.jpg", "0001474_10.jpg", "0001474_11.jpg", "0001474_12.jpg", "0001474_13.jpg", "0001474_14.jpg", "0001474_15.jpg", "0001474_16.jpg", "0001474_17.jpg", "0001474_18.jpg", "0001474_19.jpg", "0001474_20.jpg", "0001474_21.jpg", "0001474_22.jpg", "0001474_23.jpg" ]
skis
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001474.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 \"skis\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3001356
[ "3001356_00.jpg", "3001356_01.jpg", "3001356_02.jpg", "3001356_03.jpg", "3001356_04.jpg", "3001356_05.jpg", "3001356_06.jpg", "3001356_07.jpg", "3001356_08.jpg", "3001356_09.jpg", "3001356_10.jpg", "3001356_11.jpg", "3001356_12.jpg", "3001356_13.jpg", "3001356_14.jpg", "3001356_15.jpg" ]
Star Wars starring guinea pigs only
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001356.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 \"Star Wars starring guinea pigs only\",\nall the frames of video are as 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" } ]
9000403
[ "9000403_00.jpg", "9000403_01.jpg", "9000403_02.jpg", "9000403_03.jpg", "9000403_04.jpg", "9000403_05.jpg", "9000403_06.jpg", "9000403_07.jpg", "9000403_08.jpg", "9000403_09.jpg", "9000403_10.jpg", "9000403_11.jpg", "9000403_12.jpg", "9000403_13.jpg", "9000403_14.jpg", "9000403_15.jpg", "9000403_16.jpg", "9000403_17.jpg", "9000403_18.jpg", "9000403_19.jpg", "9000403_20.jpg", "9000403_21.jpg", "9000403_22.jpg", "9000403_23.jpg" ]
a beautiful cinematic video of a mosque zoom out
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/9/9000403.mp4
2
2
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a beautiful cinematic video of a mosque zoom out\",\nall the 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" } ]
2000632
[ "2000632_00.jpg", "2000632_01.jpg", "2000632_02.jpg", "2000632_03.jpg", "2000632_04.jpg", "2000632_05.jpg", "2000632_06.jpg", "2000632_07.jpg", "2000632_08.jpg", "2000632_09.jpg", "2000632_10.jpg", "2000632_11.jpg", "2000632_12.jpg", "2000632_13.jpg", "2000632_14.jpg", "2000632_15.jpg" ]
a young lady who is thinking how to decorate her living room
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2000632.mp4
3
2
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a young lady who is thinking how to decorate her living room\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
0001595
[ "0001595_00.jpg", "0001595_01.jpg", "0001595_02.jpg", "0001595_03.jpg", "0001595_04.jpg", "0001595_05.jpg", "0001595_06.jpg", "0001595_07.jpg", "0001595_08.jpg", "0001595_09.jpg", "0001595_10.jpg", "0001595_11.jpg", "0001595_12.jpg", "0001595_13.jpg", "0001595_14.jpg", "0001595_15.jpg", "0001595_16.jpg", "0001595_17.jpg", "0001595_18.jpg", "0001595_19.jpg", "0001595_20.jpg", "0001595_21.jpg", "0001595_22.jpg", "0001595_23.jpg" ]
a young girl blonde with elegant dress blue
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001595.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 young girl blonde with elegant dress blue\",\nall the 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" } ]
0001976
[ "0001976_00.jpg", "0001976_01.jpg", "0001976_02.jpg", "0001976_03.jpg", "0001976_04.jpg", "0001976_05.jpg", "0001976_06.jpg", "0001976_07.jpg", "0001976_08.jpg", "0001976_09.jpg", "0001976_10.jpg", "0001976_11.jpg", "0001976_12.jpg", "0001976_13.jpg", "0001976_14.jpg", "0001976_15.jpg", "0001976_16.jpg", "0001976_17.jpg", "0001976_18.jpg", "0001976_19.jpg", "0001976_20.jpg", "0001976_21.jpg", "0001976_22.jpg", "0001976_23.jpg" ]
Raghav and Keshav walking on a street
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0001976.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 \"Raghav and Keshav walking on a street\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
4002049
[ "4002049_00.jpg", "4002049_01.jpg", "4002049_02.jpg", "4002049_03.jpg", "4002049_04.jpg", "4002049_05.jpg", "4002049_06.jpg", "4002049_07.jpg", "4002049_08.jpg", "4002049_09.jpg", "4002049_10.jpg", "4002049_11.jpg", "4002049_12.jpg", "4002049_13.jpg", "4002049_14.jpg", "4002049_15.jpg" ]
soft waves background texture, pastel gradient colors
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/4/4002049.mp4
1
1
3
0
3
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"soft waves background texture, pastel gradient colors\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
5000159
[ "5000159_00.jpg", "5000159_01.jpg", "5000159_02.jpg", "5000159_03.jpg", "5000159_04.jpg", "5000159_05.jpg", "5000159_06.jpg", "5000159_07.jpg", "5000159_08.jpg", "5000159_09.jpg", "5000159_10.jpg", "5000159_11.jpg", "5000159_12.jpg", "5000159_13.jpg", "5000159_14.jpg", "5000159_15.jpg" ]
Cosmic turtle swimming through space around planets and start
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5000159.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 \"Cosmic turtle swimming through space around planets and start\",\nall the frames of video are as 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" } ]
2001087
[ "2001087_00.jpg", "2001087_01.jpg", "2001087_02.jpg", "2001087_03.jpg", "2001087_04.jpg", "2001087_05.jpg", "2001087_06.jpg", "2001087_07.jpg", "2001087_08.jpg", "2001087_09.jpg", "2001087_10.jpg", "2001087_11.jpg", "2001087_12.jpg", "2001087_13.jpg", "2001087_14.jpg", "2001087_15.jpg" ]
hr giger style vinny appice fighting in the night with rain 16:9
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/2/2001087.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 \"hr giger style vinny appice fighting in the night with rain 16:9\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 2\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
3001481
[ "3001481_00.jpg", "3001481_01.jpg", "3001481_02.jpg", "3001481_03.jpg", "3001481_04.jpg", "3001481_05.jpg", "3001481_06.jpg", "3001481_07.jpg", "3001481_08.jpg", "3001481_09.jpg", "3001481_10.jpg", "3001481_11.jpg", "3001481_12.jpg", "3001481_13.jpg", "3001481_14.jpg", "3001481_15.jpg" ]
an image where a dog sits under a christmas tree
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3001481.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 \"an image where a dog sits under a christmas 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: 3\n dynamic degree: 1\n text-to-video alignment: 0\n factual consistency: 3\n" } ]
s000818
[ "s000818_00.jpg", "s000818_01.jpg", "s000818_02.jpg", "s000818_03.jpg", "s000818_04.jpg", "s000818_05.jpg", "s000818_06.jpg", "s000818_07.jpg", "s000818_08.jpg", "s000818_09.jpg", "s000818_10.jpg", "s000818_11.jpg", "s000818_12.jpg", "s000818_13.jpg", "s000818_14.jpg", "s000818_15.jpg", "s000818_16.jpg", "s000818_17.jpg", "s000818_18.jpg", "s000818_19.jpg" ]
picking up phone from the river
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/s/s000818.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 \"picking up phone from the river\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <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" } ]
7003358
[ "7003358_00.jpg", "7003358_01.jpg", "7003358_02.jpg", "7003358_03.jpg", "7003358_04.jpg", "7003358_05.jpg", "7003358_06.jpg", "7003358_07.jpg" ]
let the word fly in an let the robot speak
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/7/7003358.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 \"let the word fly in an let the robot speak\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
0000960
[ "0000960_00.jpg", "0000960_01.jpg", "0000960_02.jpg", "0000960_03.jpg", "0000960_04.jpg", "0000960_05.jpg", "0000960_06.jpg", "0000960_07.jpg", "0000960_08.jpg", "0000960_09.jpg", "0000960_10.jpg", "0000960_11.jpg", "0000960_12.jpg", "0000960_13.jpg", "0000960_14.jpg", "0000960_15.jpg", "0000960_16.jpg", "0000960_17.jpg", "0000960_18.jpg", "0000960_19.jpg", "0000960_20.jpg", "0000960_21.jpg", "0000960_22.jpg", "0000960_23.jpg" ]
a blue bird
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/0/0000960.mp4
3
3
2
0
2
[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"a blue bird\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 3\n temporal consistency: 3\n dynamic degree: 2\n text-to-video alignment: 0\n factual consistency: 2\n" } ]
3005208
[ "3005208_00.jpg", "3005208_01.jpg", "3005208_02.jpg", "3005208_03.jpg", "3005208_04.jpg", "3005208_05.jpg", "3005208_06.jpg", "3005208_07.jpg", "3005208_08.jpg", "3005208_09.jpg", "3005208_10.jpg", "3005208_11.jpg", "3005208_12.jpg", "3005208_13.jpg", "3005208_14.jpg", "3005208_15.jpg" ]
jack playing soccer football in their school field, cinematic shot, 8k
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3005208.mp4
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[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 2.7\ndynamic degree: 4.0\ntext-to-video alignment: 2.3\nfactual consistency: 1.8\n\nFor this video, the text prompt is \"jack playing soccer football in their school field, cinematic shot, 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: 2\n temporal consistency: 3\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
1001211
[ "1001211_00.jpg", "1001211_01.jpg", "1001211_02.jpg", "1001211_03.jpg", "1001211_04.jpg", "1001211_05.jpg", "1001211_06.jpg", "1001211_07.jpg", "1001211_08.jpg", "1001211_09.jpg", "1001211_10.jpg", "1001211_11.jpg", "1001211_12.jpg", "1001211_13.jpg", "1001211_14.jpg", "1001211_15.jpg" ]
A man holding the latest Apple phone
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/1/1001211.mp4
1
1
3
0
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[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 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 holding the latest Apple 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: 1\n temporal consistency: 1\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 1\n" } ]
3006784
[ "3006784_00.jpg", "3006784_01.jpg", "3006784_02.jpg", "3006784_03.jpg", "3006784_04.jpg", "3006784_05.jpg", "3006784_06.jpg", "3006784_07.jpg", "3006784_08.jpg", "3006784_09.jpg", "3006784_10.jpg", "3006784_11.jpg", "3006784_12.jpg", "3006784_13.jpg", "3006784_14.jpg", "3006784_15.jpg" ]
Rocks, leaves , stones and props are flying through the air and eyes blings
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/3/3006784.mp4
2
1
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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 \"Rocks, leaves , stones and props are flying through the air and eyes blings\",\nall the frames of video are as 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" } ]
5001667
[ "5001667_00.jpg", "5001667_01.jpg", "5001667_02.jpg", "5001667_03.jpg", "5001667_04.jpg", "5001667_05.jpg", "5001667_06.jpg", "5001667_07.jpg", "5001667_08.jpg", "5001667_09.jpg", "5001667_10.jpg", "5001667_11.jpg", "5001667_12.jpg", "5001667_13.jpg", "5001667_14.jpg", "5001667_15.jpg" ]
a balck coloered buffalo walking in the forest.camera zoom
https://huggingface.co/datasets/hexuan21/VideoFeedback-videos-mp4/blob/main/5/5001667.mp4
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[ { "from": "human", "value": "\nSuppose you are an expert in judging and evaluating the quality of AI-generated videos,\nplease watch the following frames of a given video and see the text prompt for generating the video,\nthen give scores from 5 different dimensions:\n(1) visual quality: the quality of the video in terms of clearness, resolution, brightness, and color\n(2) temporal consistency, both the consistency of objects or humans and the smoothness of motion or movements\n(3) dynamic degree, the degree of dynamic changes\n(4) text-to-video alignment, the alignment between the text prompt and the video content\n(5) factual consistency, the consistency of the video content with the common-sense and factual knowledge\n\nfor each dimension, output a float number from 1.0 to 4.0,\nthe higher the number is, the better the video performs in that sub-score, \nthe lowest 1.0 means Bad, the highest 4.0 means Perfect/Real (the video is like a real video)\nHere is an output example:\nvisual quality: 3.2\ntemporal consistency: 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 balck coloered buffalo walking in the forest.camera zoom\",\nall the frames of video are as follows:\n\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> " }, { "from": "gpt", "value": "visual quality: 1\n temporal consistency: 2\n dynamic degree: 3\n text-to-video alignment: 0\n factual consistency: 2\n" } ]