--- dataset_info: features: - name: prompt dtype: string - name: prompt_asset dtype: image - name: video1 dtype: string - name: video2 dtype: string - name: weighted_results1_Alignment dtype: float32 - name: weighted_results2_Alignment dtype: float32 - name: detailedResults_Alignment list: string - name: weighted_results1_Coherence dtype: float32 - name: weighted_results2_Coherence dtype: float32 - name: detailedResults_Coherence list: string - name: weighted_results1_Preference dtype: float32 - name: weighted_results2_Preference dtype: float32 - name: detailedResults_Preference list: string - name: file_name1 dtype: string - name: file_name2 dtype: string - name: model1 dtype: string - name: model2 dtype: string splits: - name: train num_bytes: 318051385.0 num_examples: 198 download_size: 161801984 dataset_size: 318051385.0 configs: - config_name: default data_files: - split: train path: data/train-* license: apache-2.0 task_categories: - video-classification - text-to-video - text-classification language: - en tags: - videos - i2v - image-2-video - image2video - image-to-video - human - annotations - preferences - likert - coherence - alignment - style - seedance - seedance-1 - seedance-1-pro pretty_name: seedance-1-pro Human Preferences size_categories: - 1K .vertical-container { display: flex; flex-direction: column; gap: 60px; } .image-container img { height: 150px; /* Set the desired height */ margin:0; object-fit: contain; /* Ensures the aspect ratio is maintained */ width: auto; /* Adjust width automatically based on height */ } .image-container { display: flex; /* Aligns images side by side */ justify-content: space-around; /* Space them evenly */ align-items: center; /* Align them vertically */ } .container { width: 90%; margin: 0 auto; } .text-center { text-align: center; display: flex; align-items:center; flex-direction: column; } .score-amount { margin: 0; margin-top: 10px; } .score-percentage { font-size: 12px; font-weight: semi-bold; } # Rapidata Video Generation Hailuo-02 v Marey Human Preference Dataset visualization In this dataset, ~6k human responses from ~2k human annotators were collected to evaluate Seedance 1 Pro video generation model on our benchmark. This dataset was collected in roughtly 5 min using the [Rapidata Python API](https://docs.rapidata.ai), accessible to anyone and ideal for large scale data annotation. Explore our latest model rankings on our [website](https://www.rapidata.ai/benchmark). If you get value from this dataset and would like to see more in the future, please consider liking it ❤️ To add your own model to the benchmark send us an e-mail at: jason@rapidata.ai # Overview In this dataset, ~6k human responses from ~2k human annotators were collected to evaluate Seedance 1 Pro video generation model on our benchmark. This dataset was collected in roughtly 5 min using the [Rapidata Python API](https://docs.rapidata.ai), accessible to anyone and ideal for large scale data annotation. # 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](https://huggingface.co/datasets/Rapidata/image-to-video-human-preference-seedance-1-pro/tree/main/Videos) 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
The calf moves forward, gently munching on the hay scattered on the ground.

Seedance 1 Pro

(Score: 90.61%)

Hailuo-02

(Score: 9.39%)
The fern slowly unfurls as a gentle breeze causes it to sway softly.

Seedance 1 Pro

(Score: 15.68%)

Hailuo-02

(Score: 84.32%)
# 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

Seedance 1 Pro

(Glitch Rating: 8.78%)
Dataset visualization

Marey

(Glitch Rating: 91.22%)
Dataset visualization

Seedance 1 Pro

(Glitch Rating: 80%)
Dataset visualization

Hailuo-02

(Glitch Rating: 20%)
Dataset visualization
# 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

Seedance 1 Pro

(Score: 90.74%)
Dataset visualization

Marey

(Score: 9.26%)
Dataset visualization

Seedance 1 Pro

(Score: 9.03%)
Dataset visualization

Hailuo-02

(Score: 90.97%)
Dataset visualization

# About Rapidata Rapidata's technology makes collecting human feedback at scale faster and more accessible than ever before. Visit [rapidata.ai](https://www.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](https://www.rapidata.ai/leaderboard/video-models). 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](https://huggingface.co/datasets/Rapidata/text-2-video-Rich-Human-Feedback) - Link to the [Coherence dataset](https://huggingface.co/datasets/Rapidata/Flux_SD3_MJ_Dalle_Human_Coherence_Dataset) - Link to the [Text-2-Image Alignment dataset](https://huggingface.co/datasets/Rapidata/Flux_SD3_MJ_Dalle_Human_Alignment_Dataset) - Link to the [Preference dataset](https://huggingface.co/datasets/Rapidata/700k_Human_Preference_Dataset_FLUX_SD3_MJ_DALLE3)