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A 'day in the life' of a cutting-edge urban dance crew rehearsing for a global competition. Showcase their intense training, creative choreography sessions, high-tech stage setups, team dynamics, and the adrenaline-filled moments of their electrifying performance under the city lights.
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mochi-1-24-7-25_2_0.mp4
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alpha_0002_3590243511.mp4
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mochi-1-24-7-25
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A 'day in the life' of a cutting-edge urban dance crew rehearsing for a global competition. Showcase their intense training, creative choreography sessions, high-tech stage setups, team dynamics, and the adrenaline-filled moments of their electrifying performance under the city lights.
| 0.554861 | 0.445139 |
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mochi-1-24-7-25_2_0.mp4
|
hunyuan_0002_1724.mp4
|
mochi-1-24-7-25
|
hunyuan
|
||
A 'day in the life' of a cutting-edge urban dance crew rehearsing for a global competition. Showcase their intense training, creative choreography sessions, high-tech stage setups, team dynamics, and the adrenaline-filled moments of their electrifying performance under the city lights.
| 0.508422 | 0.491578 |
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mochi-1-24-7-25_2_0.mp4
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hunyuan_0002_421.mp4
|
mochi-1-24-7-25
|
hunyuan
|
||
A 'day in the life' of a cutting-edge urban dance crew rehearsing for a global competition. Showcase their intense training, creative choreography sessions, high-tech stage setups, team dynamics, and the adrenaline-filled moments of their electrifying performance under the city lights.
| 0.549583 | 0.450417 |
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mochi-1-24-7-25_2_0.mp4
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pika2.2_0002_0.mp4
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mochi-1-24-7-25
|
pika2.2
|
||
A 'day in the life' of a cutting-edge urban dance crew rehearsing for a global competition. Showcase their intense training, creative choreography sessions, high-tech stage setups, team dynamics, and the adrenaline-filled moments of their electrifying performance under the city lights.
| 0.429305 | 0.570695 |
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mochi-1-24-7-25_2_0.mp4
|
pika2.2_0002_1.mp4
|
mochi-1-24-7-25
|
pika2.2
|
||
A 'day in the life' of a cutting-edge urban dance crew rehearsing for a global competition. Showcase their intense training, creative choreography sessions, high-tech stage setups, team dynamics, and the adrenaline-filled moments of their electrifying performance under the city lights.
| 0.428736 | 0.571264 |
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mochi-1-24-7-25_2_0.mp4
|
pika_0002_3730808929.mp4
|
mochi-1-24-7-25
|
pika
|
||
A 'day in the life' of a cutting-edge urban dance crew rehearsing for a global competition. Showcase their intense training, creative choreography sessions, high-tech stage setups, team dynamics, and the adrenaline-filled moments of their electrifying performance under the city lights.
| 0.52978 | 0.47022 |
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mochi-1-24-7-25_2_0.mp4
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mochi-1-24-7-25
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pika
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A 'day in the life' of a cutting-edge urban dance crew rehearsing for a global competition. Showcase their intense training, creative choreography sessions, high-tech stage setups, team dynamics, and the adrenaline-filled moments of their electrifying performance under the city lights.
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mochi-1-24-7-25_2_0.mp4
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mochi-1-24-7-25
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ray2
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mochi-1-24-7-25_2_0.mp4
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ray2_0002_2.mp4
|
mochi-1-24-7-25
|
ray2
|
||
A 'day in the life' of a cutting-edge urban dance crew rehearsing for a global competition. Showcase their intense training, creative choreography sessions, high-tech stage setups, team dynamics, and the adrenaline-filled moments of their electrifying performance under the city lights.
| 0.400109 | 0.599891 |
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mochi-1-24-7-25_2_0.mp4
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sora_0002_0.mp4
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mochi-1-24-7-25
|
sora
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||
A 'day in the life' of a cutting-edge urban dance crew rehearsing for a global competition. Showcase their intense training, creative choreography sessions, high-tech stage setups, team dynamics, and the adrenaline-filled moments of their electrifying performance under the city lights.
| 0.567773 | 0.432227 |
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mochi-1-24-7-25_2_0.mp4
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sora_0002_1.mp4
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mochi-1-24-7-25
|
sora
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||
A 'day in the life' of a cutting-edge urban dance crew rehearsing for a global competition. Showcase their intense training, creative choreography sessions, high-tech stage setups, team dynamics, and the adrenaline-filled moments of their electrifying performance under the city lights.
| 0.456011 | 0.543989 |
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mochi-1-24-7-25_2_0.mp4
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veo2_0002_0.mp4
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mochi-1-24-7-25
|
veo2
|
||
A 'day in the life' of a cutting-edge urban dance crew rehearsing for a global competition. Showcase their intense training, creative choreography sessions, high-tech stage setups, team dynamics, and the adrenaline-filled moments of their electrifying performance under the city lights.
| 0.253738 | 0.746262 |
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mochi-1-24-7-25_2_0.mp4
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veo3_0002_0.mp4
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mochi-1-24-7-25
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veo3
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||
A 'day in the life' of a cutting-edge urban dance crew rehearsing for a global competition. Showcase their intense training, creative choreography sessions, high-tech stage setups, team dynamics, and the adrenaline-filled moments of their electrifying performance under the city lights.
| 0.350973 | 0.649027 |
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mochi-1-24-7-25_2_0.mp4
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wan2.1_0002_0.mp4
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mochi-1-24-7-25
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wan2.1
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||
A 2D animated fire dancer twirls blazing ribbons under neon lights in a dynamic, colorful style, the sharp motions and vivid hues mesmerizing onlookers who cheer enthusiastically.
| 0.482899 | 0.517101 |
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mochi-1-24-7-25_6_0.mp4
|
alpha_0006_3945567110.mp4
|
mochi-1-24-7-25
|
alpha
|
End of preview. Expand
in Data Studio
Rapidata Video Generation Genmo Mochi-1 Human Preference
In this dataset, ~60k human responses from ~20k human annotators were collected to evaluate mochi-1 video generation model on our benchmark. This dataset was collected in roughtly 30 min using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation.
Explore our latest model rankings on our website.
If you get value from this dataset and would like to see more in the future, please consider liking it ❤️
Overview
In this dataset, ~60k human responses from ~20k human annotators were collected to evaluate mochi-1 video generation model on our benchmark. This dataset was collected in roughtly 30 min using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. The benchmark data is accessible on huggingface directly.
Explanation of the colums
The dataset contains paired video comparisons. Each entry includes 'video1' and 'video2' fields, which contain links to downscaled GIFs for easy viewing. The full-resolution videos can be found here
The weighted_results column contains scores ranging from 0 to 1, representing aggregated user responses. Individual user responses can be found in the detailedResults column.
Alignment
The alignment score quantifies how well an video matches its prompt. Users were asked: "Which video fits the description better?".
Examples
A hummingbird sipping nectar from vibrant flowers in a sunlit tropical garden, its wings a blur of motion amidst the blooming petals.
Mochi-1
(Score: 85.15%)
Alpha
(Score: 14.85%)
A fleet of autonomous ships gracefully maneuvering through a vibrant coral reef, their lights illuminating the underwater flora, navigating around colorful marine life with synchronized precision.
Mochi-1
(Score: 2.48%)
Pika2.2
(Score: 97.52%)
Coherence
The coherence score measures whether the generated video is logically consistent and free from artifacts or visual glitches. Without seeing the original prompt, users were asked: "Which video has more glitches and is more likely to be AI generated?"
Examples
Mochi-1
(Glitch Rating: 13.22%)
Pika
(Glitch Rating: 86.78%)
Mochi-1
(Glitch Rating: 84.64%)
Veo 3
(Glitch Rating: 15.36%)
Preference
The preference score reflects how visually appealing participants found each video, independent of the prompt. Users were asked: "Which video do you prefer aesthetically?"
Examples
Mochi-1
(Score: 68.51%)
Ray 2
(Score: 31.49%)
Mochi 1
(Score: 0.87%)
Pika
(Score: 91.23%)
About Rapidata
Rapidata's technology makes collecting human feedback at scale faster and more accessible than ever before. Visit rapidata.ai to learn more about how we're revolutionizing human feedback collection for AI development.
Other Datasets
We run a benchmark of the major video generation models, the results can be found on our website. We rank the models according to their coherence/plausiblity, their aligment with the given prompt and style prefernce. The underlying 2M+ annotations can be found here:
- Link to the Rich Video Annotation dataset
- Link to the Coherence dataset
- Link to the Text-2-Image Alignment dataset
- Link to the Preference dataset
- Downloads last month
- 80
Size of downloaded dataset files:
654 kB
Size of the auto-converted Parquet files:
654 kB
Number of rows:
1,103
Data Sourcing report
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Spawning.aiNo elements in this dataset have been identified as either opted-out, or opted-in, by their creator.